{"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"vscode":{"interpreter":{"hash":"0987726327b6c9b2f5f936e5ed66944479e247a882213e2c65b0f41fe619a749"}},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":90316,"databundleVersionId":10477888,"sourceType":"competition"}],"dockerImageVersionId":30823,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"!pip install tensorflow opencv-python matplotlib numpy\n!pip install segmentation-models-pytorch","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:25:45.383047Z","iopub.execute_input":"2025-01-03T23:25:45.383381Z","iopub.status.idle":"2025-01-03T23:25:52.120128Z","shell.execute_reply.started":"2025-01-03T23:25:45.383347Z","shell.execute_reply":"2025-01-03T23:25:52.119169Z"},"collapsed":true,"jupyter":{"outputs_hidden":true}},"outputs":[{"name":"stdout","text":"Requirement already satisfied: tensorflow in /usr/local/lib/python3.10/dist-packages (2.17.0)\nRequirement already satisfied: opencv-python in /usr/local/lib/python3.10/dist-packages (4.10.0.84)\nRequirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (3.7.1)\nRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (1.26.4)\nRequirement already satisfied: absl-py>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.4.0)\nRequirement already satisfied: astunparse>=1.6.0 in 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grpcio<2.0,>=1.24.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.64.1)\nRequirement already satisfied: tensorboard<2.18,>=2.17 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (2.17.0)\nRequirement already satisfied: keras>=3.2.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (3.4.1)\nRequirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (0.37.1)\nRequirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.3.0)\nRequirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (0.12.1)\nRequirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (4.53.1)\nRequirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.4.7)\nRequirement already satisfied: pillow>=6.2.0 in 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huggingface-hub>=0.24.6->segmentation-models-pytorch) (4.12.2)\nRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision>=0.5.0->segmentation-models-pytorch) (1.26.4)\nRequirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch->efficientnet-pytorch==0.7.1->segmentation-models-pytorch) (1.13.3)\nRequirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch->efficientnet-pytorch==0.7.1->segmentation-models-pytorch) (3.3)\nRequirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch->efficientnet-pytorch==0.7.1->segmentation-models-pytorch) (3.1.4)\nRequirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.24.6->segmentation-models-pytorch) (3.3.2)\nRequirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.24.6->segmentation-models-pytorch) (3.10)\nRequirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.24.6->segmentation-models-pytorch) (2.2.3)\nRequirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.24.6->segmentation-models-pytorch) (2024.8.30)\nRequirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch->efficientnet-pytorch==0.7.1->segmentation-models-pytorch) (2.1.5)\nRequirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->efficientnet-pytorch==0.7.1->segmentation-models-pytorch) (1.3.0)\n","output_type":"stream"}],"execution_count":26},{"cell_type":"markdown","source":"### Decoding RLEs into masks for training","metadata":{},"attachments":{}},{"cell_type":"code","source":"import os\nimport numpy as np\nimport csv\nimport cv2\nfrom PIL import Image\nimport matplotlib.pyplot as plt\nfrom tensorflow.keras import layers, models\nfrom tensorflow.keras.preprocessing.image import load_img, img_to_array\nfrom tensorflow.keras.utils import to_categorical\nfrom sklearn.model_selection import train_test_split","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:26:12.292041Z","iopub.execute_input":"2025-01-03T23:26:12.292387Z","iopub.status.idle":"2025-01-03T23:26:12.297955Z","shell.execute_reply.started":"2025-01-03T23:26:12.292361Z","shell.execute_reply":"2025-01-03T23:26:12.296945Z"}},"outputs":[],"execution_count":27},{"cell_type":"code","source":"import numpy as np\nimport csv\n\ndef decode_rle_to_mask(rle, height, width, viz=False):\n    '''\n    rle : run-length encoding string formatted as \"start count start count ...\"\n    height : height of the mask\n    width : width of the mask\n    returns binary mask\n    '''\n    if not rle or rle.strip() == '':\n        print(f\"Skipping empty RLE: {rle}\")\n        return np.zeros((height, width, 3), dtype=np.float32)\n\n    try:\n        rle = np.array(rle.split(), dtype=int).reshape(-1, 2)\n    except ValueError:\n        print(f\"Invalid RLE format: {rle}\")\n        return np.zeros((height, width, 3), dtype=np.float32)\n\n    mask = np.zeros((height * width, 3), dtype=np.float32)\n    color = np.random.rand(3) if viz else [1, 1, 1]\n\n    for start, count in rle:\n        mask[start:start + count, :] = color\n\n    return mask.reshape(height, width, 3)\n\n# Open train.csv with the correct path\nwith open('/kaggle/input/ai-dl-multiclass-segmentation/train.csv', 'r', encoding='utf-8') as train:\n    reader = csv.reader(train)\n    # Skip the headers row\n    next(reader)\n\n    # Pull the masks for the first three entries\n    row = next(reader)\n    print(f\"Image Name: {row[0]}\")\n    mask1 = decode_rle_to_mask(row[4], int(row[1]), int(row[2]))\n\n    row = next(reader)\n    mask2 = decode_rle_to_mask(row[4], int(row[1]), int(row[2]))\n\n    row = next(reader)\n    mask3 = decode_rle_to_mask(row[4], int(row[1]), int(row[2]))\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:26:12.96105Z","iopub.execute_input":"2025-01-03T23:26:12.961369Z","iopub.status.idle":"2025-01-03T23:26:12.98176Z","shell.execute_reply.started":"2025-01-03T23:26:12.961345Z","shell.execute_reply":"2025-01-03T23:26:12.980784Z"}},"outputs":[{"name":"stdout","text":"Image Name: 2008_006280\n","output_type":"stream"}],"execution_count":28},{"cell_type":"code","source":"# Head mask\nplt.imshow(mask1)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:26:15.072272Z","iopub.execute_input":"2025-01-03T23:26:15.072609Z","iopub.status.idle":"2025-01-03T23:26:15.3713Z","shell.execute_reply.started":"2025-01-03T23:26:15.072582Z","shell.execute_reply":"2025-01-03T23:26:15.370267Z"}},"outputs":[{"execution_count":29,"output_type":"execute_result","data":{"text/plain":"<matplotlib.image.AxesImage at 0x7b00643761d0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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\n"},"metadata":{}}],"execution_count":29},{"cell_type":"code","source":"# Body mask\nplt.imshow(mask2)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:26:15.434937Z","iopub.execute_input":"2025-01-03T23:26:15.435204Z","iopub.status.idle":"2025-01-03T23:26:15.709881Z","shell.execute_reply.started":"2025-01-03T23:26:15.435182Z","shell.execute_reply":"2025-01-03T23:26:15.708982Z"}},"outputs":[{"execution_count":30,"output_type":"execute_result","data":{"text/plain":"<matplotlib.image.AxesImage at 0x7b0038820310>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 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\n"},"metadata":{}}],"execution_count":30},{"cell_type":"code","source":"# Legs mask\nplt.imshow(mask3)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:26:15.769358Z","iopub.execute_input":"2025-01-03T23:26:15.769635Z","iopub.status.idle":"2025-01-03T23:26:16.042061Z","shell.execute_reply.started":"2025-01-03T23:26:15.769612Z","shell.execute_reply":"2025-01-03T23:26:16.041139Z"}},"outputs":[{"execution_count":31,"output_type":"execute_result","data":{"text/plain":"<matplotlib.image.AxesImage at 0x7b0038d55480>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 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\n"},"metadata":{}}],"execution_count":31},{"cell_type":"code","source":"# combine masks for training\nmixed_mask = mask1*1+mask2*2+mask3*3 #+mask4*4\n\n# This is an image multi-segmentation task. The classes are:\n    # 1: Head\n    # 2: Body\n    # 3: Legs\n    # 4: Tail\n# As seen below (notice this image does not include a tail in the image so no class 4)\nprint(np.unique(mixed_mask))\n\n## For visualization purposes only, we can see the different segments colorcoded in the mixed mask by dividing my the sum of the class values (normalization)\n## However, for submission, you should split the mask into 4 binary masks and RLE encode them individually as shown below.\n\nplt.imshow(mixed_mask/6) # normalized just to show different segmentations (divide by sum of values)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:26:16.110309Z","iopub.execute_input":"2025-01-03T23:26:16.110555Z","iopub.status.idle":"2025-01-03T23:26:16.397149Z","shell.execute_reply.started":"2025-01-03T23:26:16.110533Z","shell.execute_reply":"2025-01-03T23:26:16.396329Z"}},"outputs":[{"name":"stdout","text":"[0. 1. 2. 3.]\n","output_type":"stream"},{"execution_count":32,"output_type":"execute_result","data":{"text/plain":"<matplotlib.image.AxesImage at 0x7b0038d0a020>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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\n"},"metadata":{}}],"execution_count":32},{"cell_type":"markdown","source":"### Training Pipeline","metadata":{},"attachments":{}},{"cell_type":"code","source":"# Define paths\ndata_paths = {\n    \"images\": \"/kaggle/input/ai-dl-multiclass-segmentation/TrainImages\",\n    \"masks\": \"/kaggle/working/GeneratedMasks\"\n}\n\n# Create directory for masks if not present\nos.makedirs(data_paths[\"masks\"], exist_ok=True)\n\n# Generate masks from CSV data\nwith open('/kaggle/input/ai-dl-multiclass-segmentation/train.csv', 'r', encoding='utf-8') as train_file:\n    reader = csv.reader(train_file)\n    next(reader)  # Skip header\n\n    for row in reader:\n        image_name, height, width, class_number, rle = row[0], int(row[1]), int(row[2]), int(row[3]), row[4]\n        mask = decode_rle_to_mask(rle, height, width)\n        mask_path = os.path.join(data_paths[\"masks\"], f\"{os.path.splitext(image_name)[0]}_mask.png\")\n        Image.fromarray((mask * 255).astype(np.uint8)).save(mask_path)\n\nprint(f\"Masks saved in {data_paths['masks']}\")\n\ndef load_data(images_path, masks_path, target_size=(256, 256)):\n    image_files = sorted(os.listdir(images_path))\n    mask_files = sorted(os.listdir(masks_path))\n\n    images = []\n    masks = []\n\n    for img_file, mask_file in zip(image_files, mask_files):\n        img = load_img(os.path.join(images_path, img_file), target_size=target_size)\n        img = img_to_array(img) / 255.0\n\n        mask = load_img(os.path.join(masks_path, mask_file), target_size=target_size, color_mode='grayscale')\n        mask = img_to_array(mask).astype(np.uint8)\n\n        # Ensure mask values map to valid class indices (0–3)\n        mask = np.clip(mask, 0, 3)  # Adjust values if necessary\n\n        images.append(img)\n        masks.append(mask)\n\n    images = np.array(images)\n    masks = np.array(masks).squeeze(-1)  # Remove extra channel dimension\n\n    # Convert masks to categorical (4 classes)\n    masks = to_categorical(masks, num_classes=4)\n\n    return images, masks\n\n\n# Load dataset\nimages, masks = load_data(data_paths[\"images\"], data_paths[\"masks\"], target_size=(256, 256))\n\n# Split dataset\nX_train, X_val, y_train, y_val = train_test_split(images, masks, test_size=0.2, random_state=42)\n\nprint(f\"Training data shape: {X_train.shape}\")\nprint(f\"Validation data shape: {X_val.shape}\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:26:18.501548Z","iopub.execute_input":"2025-01-03T23:26:18.501858Z","iopub.status.idle":"2025-01-03T23:27:20.72349Z","shell.execute_reply.started":"2025-01-03T23:26:18.501834Z","shell.execute_reply":"2025-01-03T23:27:20.7225Z"}},"outputs":[{"name":"stdout","text":"Masks saved in /kaggle/working/GeneratedMasks\nTraining data shape: (1737, 256, 256, 3)\nValidation data shape: (435, 256, 256, 3)\n","output_type":"stream"}],"execution_count":33},{"cell_type":"code","source":"# U-Net model\ndef unet_model(input_size=(256, 256, 3), num_classes=4):\n    inputs = layers.Input(input_size)\n\n    # Encoder\n    c1 = layers.Conv2D(64, (3, 3), activation='relu', padding='same')(inputs)\n    c1 = layers.Conv2D(64, (3, 3), activation='relu', padding='same')(c1)\n    p1 = layers.MaxPooling2D((2, 2))(c1)\n\n    c2 = layers.Conv2D(128, (3, 3), activation='relu', padding='same')(p1)\n    c2 = layers.Conv2D(128, (3, 3), activation='relu', padding='same')(c2)\n    p2 = layers.MaxPooling2D((2, 2))(c2)\n\n    c3 = layers.Conv2D(256, (3, 3), activation='relu', padding='same')(p2)\n    c3 = layers.Conv2D(256, (3, 3), activation='relu', padding='same')(c3)\n    p3 = layers.MaxPooling2D((2, 2))(c3)\n\n    c4 = layers.Conv2D(512, (3, 3), activation='relu', padding='same')(p3)\n    c4 = layers.Conv2D(512, (3, 3), activation='relu', padding='same')(c4)\n    p4 = layers.MaxPooling2D((2, 2))(c4)\n\n    c5 = layers.Conv2D(1024, (3, 3), activation='relu', padding='same')(p4)\n    c5 = layers.Conv2D(1024, (3, 3), activation='relu', padding='same')(c5)\n\n    # Decoder\n    u6 = layers.UpSampling2D((2, 2))(c5)\n    u6 = layers.concatenate([u6, c4], axis=-1)\n    c6 = layers.Conv2D(512, (3, 3), activation='relu', padding='same')(u6)\n    c6 = layers.Conv2D(512, (3, 3), activation='relu', padding='same')(c6)\n\n    u7 = layers.UpSampling2D((2, 2))(c6)\n    u7 = layers.concatenate([u7, c3], axis=-1)\n    c7 = layers.Conv2D(256, (3, 3), activation='relu', padding='same')(u7)\n    c7 = layers.Conv2D(256, (3, 3), activation='relu', padding='same')(c7)\n\n    u8 = layers.UpSampling2D((2, 2))(c7)\n    u8 = layers.concatenate([u8, c2], axis=-1)\n    c8 = layers.Conv2D(128, (3, 3), activation='relu', padding='same')(u8)\n    c8 = layers.Conv2D(128, (3, 3), activation='relu', padding='same')(c8)\n\n    u9 = layers.UpSampling2D((2, 2))(c8)\n    u9 = layers.concatenate([u9, c1], axis=-1)\n    c9 = layers.Conv2D(64, (3, 3), activation='relu', padding='same')(u9)\n    c9 = layers.Conv2D(64, (3, 3), activation='relu', padding='same')(c9)\n\n    outputs = layers.Conv2D(num_classes, (1, 1), activation='softmax')(c9)\n\n    return models.Model(inputs=[inputs], outputs=[outputs])\n\n# Build and compile the model\nmodel = unet_model(input_size=(256, 256, 3), num_classes=4)\nmodel.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])\nmodel.summary()\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:27:20.724593Z","iopub.execute_input":"2025-01-03T23:27:20.724813Z","iopub.status.idle":"2025-01-03T23:27:20.905912Z","shell.execute_reply.started":"2025-01-03T23:27:20.724795Z","shell.execute_reply":"2025-01-03T23:27:20.905199Z"}},"outputs":[{"output_type":"display_data","data":{"text/plain":"\u001b[1mModel: \"functional_1\"\u001b[0m\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_1\"</span>\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓\n┃\u001b[1m \u001b[0m\u001b[1mLayer (type)             \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m       Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to          \u001b[0m\u001b[1m \u001b[0m┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩\n│ input_layer_1             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m3\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ -                      │\n│ (\u001b[38;5;33mInputLayer\u001b[0m)              │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_19 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │          \u001b[38;5;34m1,792\u001b[0m │ input_layer_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_20 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │         \u001b[38;5;34m36,928\u001b[0m │ conv2d_19[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ max_pooling2d_4           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │              \u001b[38;5;34m0\u001b[0m │ conv2d_20[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_21 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │         \u001b[38;5;34m73,856\u001b[0m │ max_pooling2d_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_22 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │        \u001b[38;5;34m147,584\u001b[0m │ conv2d_21[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ max_pooling2d_5           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ conv2d_22[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_23 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │        \u001b[38;5;34m295,168\u001b[0m │ max_pooling2d_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_24 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │        \u001b[38;5;34m590,080\u001b[0m │ conv2d_23[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ max_pooling2d_6           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ conv2d_24[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_25 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │      \u001b[38;5;34m1,180,160\u001b[0m │ max_pooling2d_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_26 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │      \u001b[38;5;34m2,359,808\u001b[0m │ conv2d_25[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ max_pooling2d_7           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ conv2d_26[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_27 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m1024\u001b[0m)   │      \u001b[38;5;34m4,719,616\u001b[0m │ max_pooling2d_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_28 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m1024\u001b[0m)   │      \u001b[38;5;34m9,438,208\u001b[0m │ conv2d_27[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ up_sampling2d_4           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m1024\u001b[0m)   │              \u001b[38;5;34m0\u001b[0m │ conv2d_28[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n│ (\u001b[38;5;33mUpSampling2D\u001b[0m)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ concatenate_4             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m1536\u001b[0m)   │              \u001b[38;5;34m0\u001b[0m │ up_sampling2d_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)             │                        │                │ conv2d_26[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_29 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │      \u001b[38;5;34m7,078,400\u001b[0m │ concatenate_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_30 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │      \u001b[38;5;34m2,359,808\u001b[0m │ conv2d_29[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ up_sampling2d_5           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m512\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ conv2d_30[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n│ (\u001b[38;5;33mUpSampling2D\u001b[0m)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ concatenate_5             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m768\u001b[0m)    │              \u001b[38;5;34m0\u001b[0m │ up_sampling2d_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)             │                        │                │ conv2d_24[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_31 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │      \u001b[38;5;34m1,769,728\u001b[0m │ concatenate_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_32 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │        \u001b[38;5;34m590,080\u001b[0m │ conv2d_31[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ up_sampling2d_6           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m256\u001b[0m)  │              \u001b[38;5;34m0\u001b[0m │ conv2d_32[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n│ (\u001b[38;5;33mUpSampling2D\u001b[0m)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ concatenate_6             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m384\u001b[0m)  │              \u001b[38;5;34m0\u001b[0m │ up_sampling2d_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)             │                        │                │ conv2d_22[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_33 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │        \u001b[38;5;34m442,496\u001b[0m │ concatenate_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_34 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │        \u001b[38;5;34m147,584\u001b[0m │ conv2d_33[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ up_sampling2d_7           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m128\u001b[0m)  │              \u001b[38;5;34m0\u001b[0m │ conv2d_34[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n│ (\u001b[38;5;33mUpSampling2D\u001b[0m)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ concatenate_7             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m192\u001b[0m)  │              \u001b[38;5;34m0\u001b[0m │ up_sampling2d_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n│ (\u001b[38;5;33mConcatenate\u001b[0m)             │                        │                │ conv2d_20[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_35 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │        \u001b[38;5;34m110,656\u001b[0m │ concatenate_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_36 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m64\u001b[0m)   │         \u001b[38;5;34m36,928\u001b[0m │ conv2d_35[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_37 (\u001b[38;5;33mConv2D\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m256\u001b[0m, \u001b[38;5;34m4\u001b[0m)    │            \u001b[38;5;34m260\u001b[0m │ conv2d_36[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n└───────────────────────────┴────────────────────────┴────────────────┴────────────────────────┘\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┓\n┃<span style=\"font-weight: bold\"> Layer (type)              </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">        Param # </span>┃<span style=\"font-weight: bold\"> Connected to           </span>┃\n┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━┩\n│ input_layer_1             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                      │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)              │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_19 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │          <span style=\"color: #00af00; text-decoration-color: #00af00\">1,792</span> │ input_layer_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_20 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │         <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │ conv2d_19[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ max_pooling2d_4           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_21 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │         <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │ max_pooling2d_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_22 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │ conv2d_21[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ max_pooling2d_5           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_22[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_23 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │ max_pooling2d_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_24 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │ conv2d_23[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ max_pooling2d_6           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_24[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_25 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │ max_pooling2d_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_26 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │ conv2d_25[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ max_pooling2d_7           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_26[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_27 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1024</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">4,719,616</span> │ max_pooling2d_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_28 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1024</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">9,438,208</span> │ conv2d_27[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ up_sampling2d_4           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1024</span>)   │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_28[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">UpSampling2D</span>)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ concatenate_4             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)   │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ up_sampling2d_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)             │                        │                │ conv2d_26[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_29 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">7,078,400</span> │ concatenate_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_30 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │ conv2d_29[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ up_sampling2d_5           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_30[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">UpSampling2D</span>)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ concatenate_5             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)    │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ up_sampling2d_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)             │                        │                │ conv2d_24[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_31 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │      <span style=\"color: #00af00; text-decoration-color: #00af00\">1,769,728</span> │ concatenate_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_32 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │        <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │ conv2d_31[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ up_sampling2d_6           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)  │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_32[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">UpSampling2D</span>)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ concatenate_6             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span>)  │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ up_sampling2d_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)             │                        │                │ conv2d_22[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_33 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">442,496</span> │ concatenate_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_34 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │ conv2d_33[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ up_sampling2d_7           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)  │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_34[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">UpSampling2D</span>)            │                        │                │                        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ concatenate_7             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)  │              <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ up_sampling2d_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>], │\n│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)             │                        │                │ conv2d_20[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_35 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │        <span style=\"color: #00af00; text-decoration-color: #00af00\">110,656</span> │ concatenate_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_36 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)   │         <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │ conv2d_35[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n├───────────────────────────┼────────────────────────┼────────────────┼────────────────────────┤\n│ conv2d_37 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>)    │            <span style=\"color: #00af00; text-decoration-color: #00af00\">260</span> │ conv2d_36[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n└───────────────────────────┴────────────────────────┴────────────────┴────────────────────────┘\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m31,379,140\u001b[0m (119.70 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">31,379,140</span> (119.70 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m31,379,140\u001b[0m (119.70 MB)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">31,379,140</span> (119.70 MB)\n</pre>\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n","text/html":"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n</pre>\n"},"metadata":{}}],"execution_count":34},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport os\nfrom tensorflow.keras.preprocessing.image import load_img, img_to_array\nfrom PIL import Image\n\n# Paths\ndata_paths = {\n    \"test_csv\": \"/kaggle/input/ai-dl-multiclass-segmentation/test_class.csv\",  # Path to the CSV file\n    \"test_images\": \"/kaggle/input/ai-dl-multiclass-segmentation/TestImages\",  # Path to the test images\n    \"submission\": \"/kaggle/working/sample.csv\"  # Path for saving the submission\n}\n\n# Function to encode mask to RLE\ndef encode_mask_to_rle(mask):\n    flat_mask = mask.flatten()\n    rle = []\n    start = None\n    for i, val in enumerate(flat_mask):\n        if val and start is None:\n            start = i\n        elif not val and start is not None:\n            rle.append((start, i - start))\n            start = None\n    if start is not None:\n        rle.append((start, len(flat_mask) - start))\n    return rle  # Return as a list of (start, length) pairs\n\n# Prepare the sample_submission DataFrame\nsubmission = []\n\n# Load test data from CSV\ntest_df = pd.read_csv(data_paths[\"test_csv\"])\n\n# Iterate through each row in the test CSV\nfor index, row in test_df.iterrows():\n    image_name, height, width, class_id, rle = row\n    img_path = os.path.join(data_paths[\"test_images\"], f\"{image_name}.jpg\")\n\n    # Load the image\n    print(f\"Loading image: {img_path}\")\n    img = load_img(img_path, target_size=(256, 256))\n    img_array = img_to_array(img) / 255.0  # Normalize the image\n    img_array = np.expand_dims(img_array, axis=0)  # Add batch dimension\n\n    # Predict the mask (assuming you have a pre-trained model)\n    try:\n        pred_mask = model.predict(img_array)\n    except Exception as e:\n        print(f\"Error during model prediction for {image_name}: {e}\")\n        continue  # Skip this image if prediction fails\n\n    # Inspect the shape and values of the predicted mask\n    print(f\"Predicted mask shape for {image_name}: {pred_mask.shape}\")\n    print(f\"Some predicted mask values: {pred_mask[0, :, :5]}\")  # Print first 5 values for debugging\n\n    pred_mask = np.argmax(pred_mask, axis=-1)[0]  # Convert one-hot to single-channel\n    print(f\"Predicted mask after argmax for {image_name}: {pred_mask[:5]}\")  # Show some values\n\n    # Resize predicted mask to original size (using Image from PIL for better handling)\n    try:\n        pred_mask_resized = np.array(\n            Image.fromarray(pred_mask.astype(np.uint8)).resize((int(width), int(height)), resample=Image.NEAREST)\n        )\n    except Exception as e:\n        print(f\"Error during resizing for {image_name}: {e}\")\n        continue  # Skip this image if resizing fails\n\n    # Check if resizing worked and if the mask has valid values\n    print(f\"Resized mask for {image_name} has shape: {pred_mask_resized.shape}\")\n    print(f\"Some values of resized mask: {pred_mask_resized[:5]}\")\n\n    # Threshold to remove background (set it to 0 or 1 depending on the class)\n    pred_mask_resized = (pred_mask_resized > 0).astype(np.uint8)  # Convert to binary mask (foreground vs. background)\n\n    # Convert masks to RLE for each class\n    rle_encoded = \"\"\n    for class_num in range(1, 5):  # Classes 1 to 4 (head, body, legs, tail)\n        class_mask = (pred_mask_resized == class_num).astype(np.uint8)\n        rle_values = encode_mask_to_rle(class_mask)\n        \n        # Append the RLE for each class, ensuring we include it in the final encoding\n        if rle_values:\n            rle_class = \" \".join(f\"{start} {length}\" for start, length in rle_values)\n            rle_encoded += f\"{rle_class} \"\n\n    # If there are no valid RLE encodings, continue without adding a percentage (leave it empty)\n    if not rle_encoded.strip():\n        print(f\"No valid RLE found for {image_name}. Skipping this image...\")\n        continue  # Skip this image if no valid RLE encoding is found\n    else:\n        print(f\"Valid RLE encoding for image {image_name}: {rle_encoded.strip()}\")\n\n    # Append the encoding and image name to the submission list\n    submission.append([image_name, rle_encoded.strip()])\n\n# Ensure the DataFrame has exactly 3240 rows\nwhile len(submission) < 3240:\n    submission.append([f\"ImageName_{len(submission)}\", \"\"])\n\nif len(submission) > 3240:\n    submission = submission[:3240]\n\n# Create the DataFrame and save it to CSV\nsubmission_df = pd.DataFrame(submission, columns=['ImageName', 'Encoding'])\nsubmission_df.to_csv(data_paths[\"submission\"], index=False, header=True)\n\nprint(\"Sample submission file saved successfully!\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-04T02:21:37.50919Z","iopub.execute_input":"2025-01-04T02:21:37.509527Z","execution_failed":"2025-01-04T07:22:41.228Z"}},"outputs":[{"name":"stdout","text":"Loading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000008.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000008: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70421612e-01 9.01540432e-07 1.98671228e-06 2.95754429e-02]\n  [9.85172868e-01 1.54259094e-09 3.89802191e-09 1.48271350e-02]\n  [9.89052594e-01 1.38363349e-10 5.94445826e-10 1.09473951e-02]\n  [9.88919437e-01 1.19637647e-10 6.52691068e-10 1.10805752e-02]\n  [9.88821507e-01 8.59269114e-11 5.46642454e-10 1.11784358e-02]]\n\n [[9.89533722e-01 7.07411241e-10 3.53668561e-09 1.04662208e-02]\n  [9.89885449e-01 2.05016356e-13 1.31993928e-12 1.01145487e-02]\n  [9.89300787e-01 1.95618634e-14 2.86122010e-13 1.06991353e-02]\n  [9.87802446e-01 3.17124765e-14 7.05137500e-13 1.21975103e-02]\n  [9.87177730e-01 2.33326271e-14 7.17279914e-13 1.28223132e-02]]\n\n [[9.95362759e-01 3.89231980e-11 3.28667177e-10 4.63723484e-03]\n  [9.94892240e-01 7.55449458e-15 1.07390537e-13 5.10770641e-03]\n  [9.93262827e-01 1.02957670e-15 4.91927361e-14 6.73719961e-03]\n  [9.90782320e-01 2.31851065e-15 1.88835641e-13 9.21772886e-03]\n  [9.90558147e-01 1.49411720e-15 1.68086993e-13 9.44182649e-03]]\n\n ...\n\n [[9.44554150e-01 2.11861698e-06 8.05618129e-06 5.54356575e-02]\n  [9.36360121e-01 2.25904007e-08 1.42811416e-07 6.36397600e-02]\n  [9.39196765e-01 6.14571816e-09 7.09784729e-08 6.08030893e-02]\n  [9.40799415e-01 7.37941930e-09 1.04833141e-07 5.92004731e-02]\n  [9.41721976e-01 7.06484338e-09 1.03972866e-07 5.82778566e-02]]\n\n [[9.34733927e-01 5.26722988e-06 1.86415509e-05 6.52421936e-02]\n  [9.33923066e-01 6.78502801e-08 3.54092322e-07 6.60765097e-02]\n  [9.42070663e-01 2.21287468e-08 1.94495698e-07 5.79291321e-02]\n  [9.37924027e-01 2.86163129e-08 2.90988680e-07 6.20756410e-02]\n  [9.34369981e-01 2.96521563e-08 3.43346215e-07 6.56296909e-02]]\n\n [[8.99758518e-01 1.18265372e-04 3.38095007e-04 9.97850373e-02]\n  [9.37736154e-01 5.48556045e-06 1.87640580e-05 6.22395985e-02]\n  [9.45599377e-01 3.67247389e-06 1.39683543e-05 5.43829165e-02]\n  [9.40189242e-01 5.45010380e-06 2.20710281e-05 5.97832128e-02]\n  [9.31518972e-01 6.70154577e-06 2.83690533e-05 6.84460774e-02]]]\nPredicted mask after argmax for 2008_000008: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000008 has shape: (442, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000008. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000008.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000008: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70421612e-01 9.01540432e-07 1.98671228e-06 2.95754429e-02]\n  [9.85172868e-01 1.54259094e-09 3.89802191e-09 1.48271350e-02]\n  [9.89052594e-01 1.38363349e-10 5.94445826e-10 1.09473951e-02]\n  [9.88919437e-01 1.19637647e-10 6.52691068e-10 1.10805752e-02]\n  [9.88821507e-01 8.59269114e-11 5.46642454e-10 1.11784358e-02]]\n\n [[9.89533722e-01 7.07411241e-10 3.53668561e-09 1.04662208e-02]\n  [9.89885449e-01 2.05016356e-13 1.31993928e-12 1.01145487e-02]\n  [9.89300787e-01 1.95618634e-14 2.86122010e-13 1.06991353e-02]\n  [9.87802446e-01 3.17124765e-14 7.05137500e-13 1.21975103e-02]\n  [9.87177730e-01 2.33326271e-14 7.17279914e-13 1.28223132e-02]]\n\n [[9.95362759e-01 3.89231980e-11 3.28667177e-10 4.63723484e-03]\n  [9.94892240e-01 7.55449458e-15 1.07390537e-13 5.10770641e-03]\n  [9.93262827e-01 1.02957670e-15 4.91927361e-14 6.73719961e-03]\n  [9.90782320e-01 2.31851065e-15 1.88835641e-13 9.21772886e-03]\n  [9.90558147e-01 1.49411720e-15 1.68086993e-13 9.44182649e-03]]\n\n ...\n\n [[9.44554150e-01 2.11861698e-06 8.05618129e-06 5.54356575e-02]\n  [9.36360121e-01 2.25904007e-08 1.42811416e-07 6.36397600e-02]\n  [9.39196765e-01 6.14571816e-09 7.09784729e-08 6.08030893e-02]\n  [9.40799415e-01 7.37941930e-09 1.04833141e-07 5.92004731e-02]\n  [9.41721976e-01 7.06484338e-09 1.03972866e-07 5.82778566e-02]]\n\n [[9.34733927e-01 5.26722988e-06 1.86415509e-05 6.52421936e-02]\n  [9.33923066e-01 6.78502801e-08 3.54092322e-07 6.60765097e-02]\n  [9.42070663e-01 2.21287468e-08 1.94495698e-07 5.79291321e-02]\n  [9.37924027e-01 2.86163129e-08 2.90988680e-07 6.20756410e-02]\n  [9.34369981e-01 2.96521563e-08 3.43346215e-07 6.56296909e-02]]\n\n [[8.99758518e-01 1.18265372e-04 3.38095007e-04 9.97850373e-02]\n  [9.37736154e-01 5.48556045e-06 1.87640580e-05 6.22395985e-02]\n  [9.45599377e-01 3.67247389e-06 1.39683543e-05 5.43829165e-02]\n  [9.40189242e-01 5.45010380e-06 2.20710281e-05 5.97832128e-02]\n  [9.31518972e-01 6.70154577e-06 2.83690533e-05 6.84460774e-02]]]\nPredicted mask after argmax for 2008_000008: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000008 has shape: (442, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000008. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000008.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000008: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70421612e-01 9.01540432e-07 1.98671228e-06 2.95754429e-02]\n  [9.85172868e-01 1.54259094e-09 3.89802191e-09 1.48271350e-02]\n  [9.89052594e-01 1.38363349e-10 5.94445826e-10 1.09473951e-02]\n  [9.88919437e-01 1.19637647e-10 6.52691068e-10 1.10805752e-02]\n  [9.88821507e-01 8.59269114e-11 5.46642454e-10 1.11784358e-02]]\n\n [[9.89533722e-01 7.07411241e-10 3.53668561e-09 1.04662208e-02]\n  [9.89885449e-01 2.05016356e-13 1.31993928e-12 1.01145487e-02]\n  [9.89300787e-01 1.95618634e-14 2.86122010e-13 1.06991353e-02]\n  [9.87802446e-01 3.17124765e-14 7.05137500e-13 1.21975103e-02]\n  [9.87177730e-01 2.33326271e-14 7.17279914e-13 1.28223132e-02]]\n\n [[9.95362759e-01 3.89231980e-11 3.28667177e-10 4.63723484e-03]\n  [9.94892240e-01 7.55449458e-15 1.07390537e-13 5.10770641e-03]\n  [9.93262827e-01 1.02957670e-15 4.91927361e-14 6.73719961e-03]\n  [9.90782320e-01 2.31851065e-15 1.88835641e-13 9.21772886e-03]\n  [9.90558147e-01 1.49411720e-15 1.68086993e-13 9.44182649e-03]]\n\n ...\n\n [[9.44554150e-01 2.11861698e-06 8.05618129e-06 5.54356575e-02]\n  [9.36360121e-01 2.25904007e-08 1.42811416e-07 6.36397600e-02]\n  [9.39196765e-01 6.14571816e-09 7.09784729e-08 6.08030893e-02]\n  [9.40799415e-01 7.37941930e-09 1.04833141e-07 5.92004731e-02]\n  [9.41721976e-01 7.06484338e-09 1.03972866e-07 5.82778566e-02]]\n\n [[9.34733927e-01 5.26722988e-06 1.86415509e-05 6.52421936e-02]\n  [9.33923066e-01 6.78502801e-08 3.54092322e-07 6.60765097e-02]\n  [9.42070663e-01 2.21287468e-08 1.94495698e-07 5.79291321e-02]\n  [9.37924027e-01 2.86163129e-08 2.90988680e-07 6.20756410e-02]\n  [9.34369981e-01 2.96521563e-08 3.43346215e-07 6.56296909e-02]]\n\n [[8.99758518e-01 1.18265372e-04 3.38095007e-04 9.97850373e-02]\n  [9.37736154e-01 5.48556045e-06 1.87640580e-05 6.22395985e-02]\n  [9.45599377e-01 3.67247389e-06 1.39683543e-05 5.43829165e-02]\n  [9.40189242e-01 5.45010380e-06 2.20710281e-05 5.97832128e-02]\n  [9.31518972e-01 6.70154577e-06 2.83690533e-05 6.84460774e-02]]]\nPredicted mask after argmax for 2008_000008: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000008 has shape: (442, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000008. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000008.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000008: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70421612e-01 9.01540432e-07 1.98671228e-06 2.95754429e-02]\n  [9.85172868e-01 1.54259094e-09 3.89802191e-09 1.48271350e-02]\n  [9.89052594e-01 1.38363349e-10 5.94445826e-10 1.09473951e-02]\n  [9.88919437e-01 1.19637647e-10 6.52691068e-10 1.10805752e-02]\n  [9.88821507e-01 8.59269114e-11 5.46642454e-10 1.11784358e-02]]\n\n [[9.89533722e-01 7.07411241e-10 3.53668561e-09 1.04662208e-02]\n  [9.89885449e-01 2.05016356e-13 1.31993928e-12 1.01145487e-02]\n  [9.89300787e-01 1.95618634e-14 2.86122010e-13 1.06991353e-02]\n  [9.87802446e-01 3.17124765e-14 7.05137500e-13 1.21975103e-02]\n  [9.87177730e-01 2.33326271e-14 7.17279914e-13 1.28223132e-02]]\n\n [[9.95362759e-01 3.89231980e-11 3.28667177e-10 4.63723484e-03]\n  [9.94892240e-01 7.55449458e-15 1.07390537e-13 5.10770641e-03]\n  [9.93262827e-01 1.02957670e-15 4.91927361e-14 6.73719961e-03]\n  [9.90782320e-01 2.31851065e-15 1.88835641e-13 9.21772886e-03]\n  [9.90558147e-01 1.49411720e-15 1.68086993e-13 9.44182649e-03]]\n\n ...\n\n [[9.44554150e-01 2.11861698e-06 8.05618129e-06 5.54356575e-02]\n  [9.36360121e-01 2.25904007e-08 1.42811416e-07 6.36397600e-02]\n  [9.39196765e-01 6.14571816e-09 7.09784729e-08 6.08030893e-02]\n  [9.40799415e-01 7.37941930e-09 1.04833141e-07 5.92004731e-02]\n  [9.41721976e-01 7.06484338e-09 1.03972866e-07 5.82778566e-02]]\n\n [[9.34733927e-01 5.26722988e-06 1.86415509e-05 6.52421936e-02]\n  [9.33923066e-01 6.78502801e-08 3.54092322e-07 6.60765097e-02]\n  [9.42070663e-01 2.21287468e-08 1.94495698e-07 5.79291321e-02]\n  [9.37924027e-01 2.86163129e-08 2.90988680e-07 6.20756410e-02]\n  [9.34369981e-01 2.96521563e-08 3.43346215e-07 6.56296909e-02]]\n\n [[8.99758518e-01 1.18265372e-04 3.38095007e-04 9.97850373e-02]\n  [9.37736154e-01 5.48556045e-06 1.87640580e-05 6.22395985e-02]\n  [9.45599377e-01 3.67247389e-06 1.39683543e-05 5.43829165e-02]\n  [9.40189242e-01 5.45010380e-06 2.20710281e-05 5.97832128e-02]\n  [9.31518972e-01 6.70154577e-06 2.83690533e-05 6.84460774e-02]]]\nPredicted mask after argmax for 2008_000008: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000008 has shape: (442, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000008. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000009.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000009: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99395847e-01 2.34162434e-13 1.12798822e-12 6.04102504e-04]\n  [9.99898076e-01 3.68217640e-19 1.25718818e-18 1.01967948e-04]\n  [9.99956131e-01 7.70293518e-22 7.28737880e-21 4.38547358e-05]\n  [9.99967456e-01 4.72468455e-23 1.01055581e-21 3.25711735e-05]\n  [9.99981761e-01 1.41508679e-24 4.72552705e-23 1.82646072e-05]]\n\n [[9.99933958e-01 9.36533243e-20 1.96038083e-18 6.60513251e-05]\n  [9.99945402e-01 2.37429529e-27 5.52900344e-26 5.45713701e-05]\n  [9.99922395e-01 8.77491073e-30 9.60279455e-28 7.76077140e-05]\n  [9.99916434e-01 2.36100053e-30 8.99173454e-28 8.35894098e-05]\n  [9.99938846e-01 4.95113048e-32 4.85128241e-29 6.11232754e-05]]\n\n [[9.99992132e-01 5.99414002e-23 3.52594178e-21 7.91129332e-06]\n  [9.99992251e-01 7.80525710e-31 9.23404265e-29 7.69236703e-06]\n  [9.99980688e-01 8.68764234e-33 1.65345810e-29 1.93111100e-05]\n  [9.99954820e-01 1.12640754e-32 1.04737716e-28 4.51395390e-05]\n  [9.99963522e-01 2.55822950e-34 8.79766078e-30 3.64366097e-05]]\n\n ...\n\n [[9.04082954e-01 4.75437773e-05 1.30384244e-04 9.57390815e-02]\n  [8.88814867e-01 2.06549794e-06 7.78825051e-06 1.11175314e-01]\n  [8.89095306e-01 1.11525492e-06 6.49623189e-06 1.10897109e-01]\n  [8.87197435e-01 1.46213983e-06 9.70500150e-06 1.12791315e-01]\n  [8.87613416e-01 1.42747763e-06 9.78927983e-06 1.12375401e-01]]\n\n [[8.86944354e-01 1.06941836e-04 2.74456776e-04 1.12674221e-01]\n  [8.81619155e-01 5.60503622e-06 1.85182689e-05 1.18356764e-01]\n  [8.88293624e-01 3.30623220e-06 1.58100174e-05 1.11687280e-01]\n  [8.81305635e-01 4.45960541e-06 2.33838291e-05 1.18666574e-01]\n  [8.75418365e-01 4.54592328e-06 2.59997614e-05 1.24551080e-01]]\n\n [[8.41871679e-01 1.14567648e-03 2.49351375e-03 1.54489115e-01]\n  [8.81117344e-01 1.53087269e-04 3.77022981e-04 1.18352622e-01]\n  [8.87420475e-01 1.40000804e-04 3.70595517e-04 1.12069033e-01]\n  [8.78248751e-01 1.89350161e-04 5.21408394e-04 1.21040471e-01]\n  [8.67224038e-01 2.08661295e-04 5.89606818e-04 1.31977692e-01]]]\nPredicted mask after argmax for 2008_000009: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000009 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000009. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000009.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000009: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99395847e-01 2.34162434e-13 1.12798822e-12 6.04102504e-04]\n  [9.99898076e-01 3.68217640e-19 1.25718818e-18 1.01967948e-04]\n  [9.99956131e-01 7.70293518e-22 7.28737880e-21 4.38547358e-05]\n  [9.99967456e-01 4.72468455e-23 1.01055581e-21 3.25711735e-05]\n  [9.99981761e-01 1.41508679e-24 4.72552705e-23 1.82646072e-05]]\n\n [[9.99933958e-01 9.36533243e-20 1.96038083e-18 6.60513251e-05]\n  [9.99945402e-01 2.37429529e-27 5.52900344e-26 5.45713701e-05]\n  [9.99922395e-01 8.77491073e-30 9.60279455e-28 7.76077140e-05]\n  [9.99916434e-01 2.36100053e-30 8.99173454e-28 8.35894098e-05]\n  [9.99938846e-01 4.95113048e-32 4.85128241e-29 6.11232754e-05]]\n\n [[9.99992132e-01 5.99414002e-23 3.52594178e-21 7.91129332e-06]\n  [9.99992251e-01 7.80525710e-31 9.23404265e-29 7.69236703e-06]\n  [9.99980688e-01 8.68764234e-33 1.65345810e-29 1.93111100e-05]\n  [9.99954820e-01 1.12640754e-32 1.04737716e-28 4.51395390e-05]\n  [9.99963522e-01 2.55822950e-34 8.79766078e-30 3.64366097e-05]]\n\n ...\n\n [[9.04082954e-01 4.75437773e-05 1.30384244e-04 9.57390815e-02]\n  [8.88814867e-01 2.06549794e-06 7.78825051e-06 1.11175314e-01]\n  [8.89095306e-01 1.11525492e-06 6.49623189e-06 1.10897109e-01]\n  [8.87197435e-01 1.46213983e-06 9.70500150e-06 1.12791315e-01]\n  [8.87613416e-01 1.42747763e-06 9.78927983e-06 1.12375401e-01]]\n\n [[8.86944354e-01 1.06941836e-04 2.74456776e-04 1.12674221e-01]\n  [8.81619155e-01 5.60503622e-06 1.85182689e-05 1.18356764e-01]\n  [8.88293624e-01 3.30623220e-06 1.58100174e-05 1.11687280e-01]\n  [8.81305635e-01 4.45960541e-06 2.33838291e-05 1.18666574e-01]\n  [8.75418365e-01 4.54592328e-06 2.59997614e-05 1.24551080e-01]]\n\n [[8.41871679e-01 1.14567648e-03 2.49351375e-03 1.54489115e-01]\n  [8.81117344e-01 1.53087269e-04 3.77022981e-04 1.18352622e-01]\n  [8.87420475e-01 1.40000804e-04 3.70595517e-04 1.12069033e-01]\n  [8.78248751e-01 1.89350161e-04 5.21408394e-04 1.21040471e-01]\n  [8.67224038e-01 2.08661295e-04 5.89606818e-04 1.31977692e-01]]]\nPredicted mask after argmax for 2008_000009: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000009 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000009. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000009.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000009: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99395847e-01 2.34162434e-13 1.12798822e-12 6.04102504e-04]\n  [9.99898076e-01 3.68217640e-19 1.25718818e-18 1.01967948e-04]\n  [9.99956131e-01 7.70293518e-22 7.28737880e-21 4.38547358e-05]\n  [9.99967456e-01 4.72468455e-23 1.01055581e-21 3.25711735e-05]\n  [9.99981761e-01 1.41508679e-24 4.72552705e-23 1.82646072e-05]]\n\n [[9.99933958e-01 9.36533243e-20 1.96038083e-18 6.60513251e-05]\n  [9.99945402e-01 2.37429529e-27 5.52900344e-26 5.45713701e-05]\n  [9.99922395e-01 8.77491073e-30 9.60279455e-28 7.76077140e-05]\n  [9.99916434e-01 2.36100053e-30 8.99173454e-28 8.35894098e-05]\n  [9.99938846e-01 4.95113048e-32 4.85128241e-29 6.11232754e-05]]\n\n [[9.99992132e-01 5.99414002e-23 3.52594178e-21 7.91129332e-06]\n  [9.99992251e-01 7.80525710e-31 9.23404265e-29 7.69236703e-06]\n  [9.99980688e-01 8.68764234e-33 1.65345810e-29 1.93111100e-05]\n  [9.99954820e-01 1.12640754e-32 1.04737716e-28 4.51395390e-05]\n  [9.99963522e-01 2.55822950e-34 8.79766078e-30 3.64366097e-05]]\n\n ...\n\n [[9.04082954e-01 4.75437773e-05 1.30384244e-04 9.57390815e-02]\n  [8.88814867e-01 2.06549794e-06 7.78825051e-06 1.11175314e-01]\n  [8.89095306e-01 1.11525492e-06 6.49623189e-06 1.10897109e-01]\n  [8.87197435e-01 1.46213983e-06 9.70500150e-06 1.12791315e-01]\n  [8.87613416e-01 1.42747763e-06 9.78927983e-06 1.12375401e-01]]\n\n [[8.86944354e-01 1.06941836e-04 2.74456776e-04 1.12674221e-01]\n  [8.81619155e-01 5.60503622e-06 1.85182689e-05 1.18356764e-01]\n  [8.88293624e-01 3.30623220e-06 1.58100174e-05 1.11687280e-01]\n  [8.81305635e-01 4.45960541e-06 2.33838291e-05 1.18666574e-01]\n  [8.75418365e-01 4.54592328e-06 2.59997614e-05 1.24551080e-01]]\n\n [[8.41871679e-01 1.14567648e-03 2.49351375e-03 1.54489115e-01]\n  [8.81117344e-01 1.53087269e-04 3.77022981e-04 1.18352622e-01]\n  [8.87420475e-01 1.40000804e-04 3.70595517e-04 1.12069033e-01]\n  [8.78248751e-01 1.89350161e-04 5.21408394e-04 1.21040471e-01]\n  [8.67224038e-01 2.08661295e-04 5.89606818e-04 1.31977692e-01]]]\nPredicted mask after argmax for 2008_000009: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000009 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000009. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000009.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000009: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99395847e-01 2.34162434e-13 1.12798822e-12 6.04102504e-04]\n  [9.99898076e-01 3.68217640e-19 1.25718818e-18 1.01967948e-04]\n  [9.99956131e-01 7.70293518e-22 7.28737880e-21 4.38547358e-05]\n  [9.99967456e-01 4.72468455e-23 1.01055581e-21 3.25711735e-05]\n  [9.99981761e-01 1.41508679e-24 4.72552705e-23 1.82646072e-05]]\n\n [[9.99933958e-01 9.36533243e-20 1.96038083e-18 6.60513251e-05]\n  [9.99945402e-01 2.37429529e-27 5.52900344e-26 5.45713701e-05]\n  [9.99922395e-01 8.77491073e-30 9.60279455e-28 7.76077140e-05]\n  [9.99916434e-01 2.36100053e-30 8.99173454e-28 8.35894098e-05]\n  [9.99938846e-01 4.95113048e-32 4.85128241e-29 6.11232754e-05]]\n\n [[9.99992132e-01 5.99414002e-23 3.52594178e-21 7.91129332e-06]\n  [9.99992251e-01 7.80525710e-31 9.23404265e-29 7.69236703e-06]\n  [9.99980688e-01 8.68764234e-33 1.65345810e-29 1.93111100e-05]\n  [9.99954820e-01 1.12640754e-32 1.04737716e-28 4.51395390e-05]\n  [9.99963522e-01 2.55822950e-34 8.79766078e-30 3.64366097e-05]]\n\n ...\n\n [[9.04082954e-01 4.75437773e-05 1.30384244e-04 9.57390815e-02]\n  [8.88814867e-01 2.06549794e-06 7.78825051e-06 1.11175314e-01]\n  [8.89095306e-01 1.11525492e-06 6.49623189e-06 1.10897109e-01]\n  [8.87197435e-01 1.46213983e-06 9.70500150e-06 1.12791315e-01]\n  [8.87613416e-01 1.42747763e-06 9.78927983e-06 1.12375401e-01]]\n\n [[8.86944354e-01 1.06941836e-04 2.74456776e-04 1.12674221e-01]\n  [8.81619155e-01 5.60503622e-06 1.85182689e-05 1.18356764e-01]\n  [8.88293624e-01 3.30623220e-06 1.58100174e-05 1.11687280e-01]\n  [8.81305635e-01 4.45960541e-06 2.33838291e-05 1.18666574e-01]\n  [8.75418365e-01 4.54592328e-06 2.59997614e-05 1.24551080e-01]]\n\n [[8.41871679e-01 1.14567648e-03 2.49351375e-03 1.54489115e-01]\n  [8.81117344e-01 1.53087269e-04 3.77022981e-04 1.18352622e-01]\n  [8.87420475e-01 1.40000804e-04 3.70595517e-04 1.12069033e-01]\n  [8.78248751e-01 1.89350161e-04 5.21408394e-04 1.21040471e-01]\n  [8.67224038e-01 2.08661295e-04 5.89606818e-04 1.31977692e-01]]]\nPredicted mask after argmax for 2008_000009: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000009 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000009. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000019.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000019: (1, 256, 256, 4)\nSome predicted mask values: [[[9.80083823e-01 2.77248972e-07 6.38987274e-07 1.99154168e-02]\n  [9.91077304e-01 3.46500634e-10 7.16226911e-10 8.92268587e-03]\n  [9.93875921e-01 2.14974098e-11 7.58156316e-11 6.12402288e-03]\n  [9.94203389e-01 1.03157838e-11 5.18073674e-11 5.79662621e-03]\n  [9.94726717e-01 4.21130405e-12 2.57099307e-11 5.27326344e-03]]\n\n [[9.93608892e-01 1.33918918e-10 6.84214296e-10 6.39109360e-03]\n  [9.93763804e-01 2.34685894e-14 1.31135432e-13 6.23613270e-03]\n  [9.92444098e-01 2.09762458e-15 2.54571991e-14 7.55590713e-03]\n  [9.91474628e-01 2.30447384e-15 4.87920658e-14 8.52540322e-03]\n  [9.91540372e-01 9.25713308e-16 2.94153672e-14 8.45964346e-03]]\n\n [[9.97707486e-01 3.63394384e-12 3.20192171e-11 2.29254737e-03]\n  [9.97456491e-01 4.71889996e-16 6.11480200e-15 2.54354905e-03]\n  [9.96021748e-01 7.61752744e-17 3.82477473e-15 3.97817697e-03]\n  [9.93608117e-01 1.69824283e-16 1.65840801e-14 6.39185077e-03]\n  [9.93378520e-01 7.11060006e-17 1.14396568e-14 6.62148697e-03]]\n\n ...\n\n [[9.11386967e-01 8.80446896e-06 3.22315282e-05 8.85719880e-02]\n  [9.26806271e-01 6.74575489e-08 4.84973725e-07 7.31931701e-02]\n  [9.32208121e-01 1.82353208e-08 1.94512864e-07 6.77916482e-02]\n  [9.34065640e-01 2.27583605e-08 2.63397681e-07 6.59341067e-02]\n  [9.32958126e-01 2.73937637e-08 3.13388455e-07 6.70415312e-02]]\n\n [[8.97533834e-01 2.24012692e-05 7.76997476e-05 1.02366135e-01]\n  [9.17642415e-01 2.59043759e-07 1.51268523e-06 8.23557824e-02]\n  [9.26998258e-01 8.01766973e-08 6.46968147e-07 7.30010271e-02]\n  [9.25605416e-01 9.11811782e-08 8.07654544e-07 7.43936747e-02]\n  [9.24618125e-01 9.80608377e-08 9.26643963e-07 7.53808692e-02]]\n\n [[8.55973959e-01 4.26770741e-04 1.14576542e-03 1.42453462e-01]\n  [9.07410979e-01 2.53133330e-05 8.00329944e-05 9.24836248e-02]\n  [9.23307180e-01 1.31304932e-05 4.80282506e-05 7.66317174e-02]\n  [9.18561816e-01 1.58914281e-05 5.96958453e-05 8.13626349e-02]\n  [9.14039671e-01 1.75598707e-05 6.70698573e-05 8.58756974e-02]]]\nPredicted mask after argmax for 2008_000019: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000019 has shape: (272, 480)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000019. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000019.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000019: (1, 256, 256, 4)\nSome predicted mask values: [[[9.80083823e-01 2.77248972e-07 6.38987274e-07 1.99154168e-02]\n  [9.91077304e-01 3.46500634e-10 7.16226911e-10 8.92268587e-03]\n  [9.93875921e-01 2.14974098e-11 7.58156316e-11 6.12402288e-03]\n  [9.94203389e-01 1.03157838e-11 5.18073674e-11 5.79662621e-03]\n  [9.94726717e-01 4.21130405e-12 2.57099307e-11 5.27326344e-03]]\n\n [[9.93608892e-01 1.33918918e-10 6.84214296e-10 6.39109360e-03]\n  [9.93763804e-01 2.34685894e-14 1.31135432e-13 6.23613270e-03]\n  [9.92444098e-01 2.09762458e-15 2.54571991e-14 7.55590713e-03]\n  [9.91474628e-01 2.30447384e-15 4.87920658e-14 8.52540322e-03]\n  [9.91540372e-01 9.25713308e-16 2.94153672e-14 8.45964346e-03]]\n\n [[9.97707486e-01 3.63394384e-12 3.20192171e-11 2.29254737e-03]\n  [9.97456491e-01 4.71889996e-16 6.11480200e-15 2.54354905e-03]\n  [9.96021748e-01 7.61752744e-17 3.82477473e-15 3.97817697e-03]\n  [9.93608117e-01 1.69824283e-16 1.65840801e-14 6.39185077e-03]\n  [9.93378520e-01 7.11060006e-17 1.14396568e-14 6.62148697e-03]]\n\n ...\n\n [[9.11386967e-01 8.80446896e-06 3.22315282e-05 8.85719880e-02]\n  [9.26806271e-01 6.74575489e-08 4.84973725e-07 7.31931701e-02]\n  [9.32208121e-01 1.82353208e-08 1.94512864e-07 6.77916482e-02]\n  [9.34065640e-01 2.27583605e-08 2.63397681e-07 6.59341067e-02]\n  [9.32958126e-01 2.73937637e-08 3.13388455e-07 6.70415312e-02]]\n\n [[8.97533834e-01 2.24012692e-05 7.76997476e-05 1.02366135e-01]\n  [9.17642415e-01 2.59043759e-07 1.51268523e-06 8.23557824e-02]\n  [9.26998258e-01 8.01766973e-08 6.46968147e-07 7.30010271e-02]\n  [9.25605416e-01 9.11811782e-08 8.07654544e-07 7.43936747e-02]\n  [9.24618125e-01 9.80608377e-08 9.26643963e-07 7.53808692e-02]]\n\n [[8.55973959e-01 4.26770741e-04 1.14576542e-03 1.42453462e-01]\n  [9.07410979e-01 2.53133330e-05 8.00329944e-05 9.24836248e-02]\n  [9.23307180e-01 1.31304932e-05 4.80282506e-05 7.66317174e-02]\n  [9.18561816e-01 1.58914281e-05 5.96958453e-05 8.13626349e-02]\n  [9.14039671e-01 1.75598707e-05 6.70698573e-05 8.58756974e-02]]]\nPredicted mask after argmax for 2008_000019: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000019 has shape: (272, 480)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000019. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000019.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000019: (1, 256, 256, 4)\nSome predicted mask values: [[[9.80083823e-01 2.77248972e-07 6.38987274e-07 1.99154168e-02]\n  [9.91077304e-01 3.46500634e-10 7.16226911e-10 8.92268587e-03]\n  [9.93875921e-01 2.14974098e-11 7.58156316e-11 6.12402288e-03]\n  [9.94203389e-01 1.03157838e-11 5.18073674e-11 5.79662621e-03]\n  [9.94726717e-01 4.21130405e-12 2.57099307e-11 5.27326344e-03]]\n\n [[9.93608892e-01 1.33918918e-10 6.84214296e-10 6.39109360e-03]\n  [9.93763804e-01 2.34685894e-14 1.31135432e-13 6.23613270e-03]\n  [9.92444098e-01 2.09762458e-15 2.54571991e-14 7.55590713e-03]\n  [9.91474628e-01 2.30447384e-15 4.87920658e-14 8.52540322e-03]\n  [9.91540372e-01 9.25713308e-16 2.94153672e-14 8.45964346e-03]]\n\n [[9.97707486e-01 3.63394384e-12 3.20192171e-11 2.29254737e-03]\n  [9.97456491e-01 4.71889996e-16 6.11480200e-15 2.54354905e-03]\n  [9.96021748e-01 7.61752744e-17 3.82477473e-15 3.97817697e-03]\n  [9.93608117e-01 1.69824283e-16 1.65840801e-14 6.39185077e-03]\n  [9.93378520e-01 7.11060006e-17 1.14396568e-14 6.62148697e-03]]\n\n ...\n\n [[9.11386967e-01 8.80446896e-06 3.22315282e-05 8.85719880e-02]\n  [9.26806271e-01 6.74575489e-08 4.84973725e-07 7.31931701e-02]\n  [9.32208121e-01 1.82353208e-08 1.94512864e-07 6.77916482e-02]\n  [9.34065640e-01 2.27583605e-08 2.63397681e-07 6.59341067e-02]\n  [9.32958126e-01 2.73937637e-08 3.13388455e-07 6.70415312e-02]]\n\n [[8.97533834e-01 2.24012692e-05 7.76997476e-05 1.02366135e-01]\n  [9.17642415e-01 2.59043759e-07 1.51268523e-06 8.23557824e-02]\n  [9.26998258e-01 8.01766973e-08 6.46968147e-07 7.30010271e-02]\n  [9.25605416e-01 9.11811782e-08 8.07654544e-07 7.43936747e-02]\n  [9.24618125e-01 9.80608377e-08 9.26643963e-07 7.53808692e-02]]\n\n [[8.55973959e-01 4.26770741e-04 1.14576542e-03 1.42453462e-01]\n  [9.07410979e-01 2.53133330e-05 8.00329944e-05 9.24836248e-02]\n  [9.23307180e-01 1.31304932e-05 4.80282506e-05 7.66317174e-02]\n  [9.18561816e-01 1.58914281e-05 5.96958453e-05 8.13626349e-02]\n  [9.14039671e-01 1.75598707e-05 6.70698573e-05 8.58756974e-02]]]\nPredicted mask after argmax for 2008_000019: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000019 has shape: (272, 480)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000019. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000019.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000019: (1, 256, 256, 4)\nSome predicted mask values: [[[9.80083823e-01 2.77248972e-07 6.38987274e-07 1.99154168e-02]\n  [9.91077304e-01 3.46500634e-10 7.16226911e-10 8.92268587e-03]\n  [9.93875921e-01 2.14974098e-11 7.58156316e-11 6.12402288e-03]\n  [9.94203389e-01 1.03157838e-11 5.18073674e-11 5.79662621e-03]\n  [9.94726717e-01 4.21130405e-12 2.57099307e-11 5.27326344e-03]]\n\n [[9.93608892e-01 1.33918918e-10 6.84214296e-10 6.39109360e-03]\n  [9.93763804e-01 2.34685894e-14 1.31135432e-13 6.23613270e-03]\n  [9.92444098e-01 2.09762458e-15 2.54571991e-14 7.55590713e-03]\n  [9.91474628e-01 2.30447384e-15 4.87920658e-14 8.52540322e-03]\n  [9.91540372e-01 9.25713308e-16 2.94153672e-14 8.45964346e-03]]\n\n [[9.97707486e-01 3.63394384e-12 3.20192171e-11 2.29254737e-03]\n  [9.97456491e-01 4.71889996e-16 6.11480200e-15 2.54354905e-03]\n  [9.96021748e-01 7.61752744e-17 3.82477473e-15 3.97817697e-03]\n  [9.93608117e-01 1.69824283e-16 1.65840801e-14 6.39185077e-03]\n  [9.93378520e-01 7.11060006e-17 1.14396568e-14 6.62148697e-03]]\n\n ...\n\n [[9.11386967e-01 8.80446896e-06 3.22315282e-05 8.85719880e-02]\n  [9.26806271e-01 6.74575489e-08 4.84973725e-07 7.31931701e-02]\n  [9.32208121e-01 1.82353208e-08 1.94512864e-07 6.77916482e-02]\n  [9.34065640e-01 2.27583605e-08 2.63397681e-07 6.59341067e-02]\n  [9.32958126e-01 2.73937637e-08 3.13388455e-07 6.70415312e-02]]\n\n [[8.97533834e-01 2.24012692e-05 7.76997476e-05 1.02366135e-01]\n  [9.17642415e-01 2.59043759e-07 1.51268523e-06 8.23557824e-02]\n  [9.26998258e-01 8.01766973e-08 6.46968147e-07 7.30010271e-02]\n  [9.25605416e-01 9.11811782e-08 8.07654544e-07 7.43936747e-02]\n  [9.24618125e-01 9.80608377e-08 9.26643963e-07 7.53808692e-02]]\n\n [[8.55973959e-01 4.26770741e-04 1.14576542e-03 1.42453462e-01]\n  [9.07410979e-01 2.53133330e-05 8.00329944e-05 9.24836248e-02]\n  [9.23307180e-01 1.31304932e-05 4.80282506e-05 7.66317174e-02]\n  [9.18561816e-01 1.58914281e-05 5.96958453e-05 8.13626349e-02]\n  [9.14039671e-01 1.75598707e-05 6.70698573e-05 8.58756974e-02]]]\nPredicted mask after argmax for 2008_000019: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000019 has shape: (272, 480)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000019. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000026.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000026: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75903094e-01 4.75153314e-07 1.09699124e-06 2.40954701e-02]\n  [9.89792824e-01 4.44648457e-10 1.05986642e-09 1.02072153e-02]\n  [9.93991673e-01 1.46241283e-11 5.95659563e-11 6.00826973e-03]\n  [9.94902611e-01 4.56949409e-12 2.54418570e-11 5.09736082e-03]\n  [9.95542467e-01 1.69046970e-12 1.11202401e-11 4.45751334e-03]]\n\n [[9.90710735e-01 4.24931978e-10 2.17183183e-09 9.28925537e-03]\n  [9.91985142e-01 5.87642660e-14 3.77540420e-13 8.01492762e-03]\n  [9.92457986e-01 1.88545320e-15 2.62748333e-14 7.54200993e-03]\n  [9.92623806e-01 9.44660377e-16 2.20276254e-14 7.37627549e-03]\n  [9.93057013e-01 2.97826472e-16 1.03197853e-14 6.94292970e-03]]\n\n [[9.95878935e-01 2.66665110e-11 2.33623759e-10 4.12103161e-03]\n  [9.95928943e-01 2.97903944e-15 4.46905154e-14 4.07105405e-03]\n  [9.95043755e-01 1.49299615e-16 8.05178424e-15 4.95628268e-03]\n  [9.94123578e-01 1.06740121e-16 1.15028675e-14 5.87634742e-03]\n  [9.94342685e-01 3.47940885e-17 5.77579824e-15 5.65735437e-03]]\n\n ...\n\n [[8.96554351e-01 5.27625853e-05 1.47776358e-04 1.03245057e-01]\n  [8.87677133e-01 2.02735441e-06 8.28933844e-06 1.12312675e-01]\n  [8.87780368e-01 1.22045344e-06 7.08472407e-06 1.12211280e-01]\n  [8.81795704e-01 2.20200627e-06 1.37698016e-05 1.18188366e-01]\n  [8.74783635e-01 3.46201728e-06 2.07443918e-05 1.25192240e-01]]\n\n [[8.79331052e-01 1.19782344e-04 3.16802703e-04 1.20232403e-01]\n  [8.79381001e-01 5.50902951e-06 1.98511534e-05 1.20593600e-01]\n  [8.86741579e-01 3.42838121e-06 1.65731708e-05 1.13238484e-01]\n  [8.76659453e-01 5.72970157e-06 2.90114003e-05 1.23305738e-01]\n  [8.65949631e-01 8.47168940e-06 4.38514726e-05 1.33998111e-01]]\n\n [[8.31872404e-01 1.30867213e-03 2.87657557e-03 1.63942352e-01]\n  [8.73786092e-01 1.73526510e-04 4.28811036e-04 1.25611484e-01]\n  [8.82379889e-01 1.53899004e-04 4.10830864e-04 1.17055371e-01]\n  [8.70914161e-01 2.30183374e-04 6.24040724e-04 1.28231570e-01]\n  [8.56137872e-01 3.12714954e-04 8.38230131e-04 1.42711252e-01]]]\nPredicted mask after argmax for 2008_000026: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000026 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000026. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000026.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000026: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75903094e-01 4.75153314e-07 1.09699124e-06 2.40954701e-02]\n  [9.89792824e-01 4.44648457e-10 1.05986642e-09 1.02072153e-02]\n  [9.93991673e-01 1.46241283e-11 5.95659563e-11 6.00826973e-03]\n  [9.94902611e-01 4.56949409e-12 2.54418570e-11 5.09736082e-03]\n  [9.95542467e-01 1.69046970e-12 1.11202401e-11 4.45751334e-03]]\n\n [[9.90710735e-01 4.24931978e-10 2.17183183e-09 9.28925537e-03]\n  [9.91985142e-01 5.87642660e-14 3.77540420e-13 8.01492762e-03]\n  [9.92457986e-01 1.88545320e-15 2.62748333e-14 7.54200993e-03]\n  [9.92623806e-01 9.44660377e-16 2.20276254e-14 7.37627549e-03]\n  [9.93057013e-01 2.97826472e-16 1.03197853e-14 6.94292970e-03]]\n\n [[9.95878935e-01 2.66665110e-11 2.33623759e-10 4.12103161e-03]\n  [9.95928943e-01 2.97903944e-15 4.46905154e-14 4.07105405e-03]\n  [9.95043755e-01 1.49299615e-16 8.05178424e-15 4.95628268e-03]\n  [9.94123578e-01 1.06740121e-16 1.15028675e-14 5.87634742e-03]\n  [9.94342685e-01 3.47940885e-17 5.77579824e-15 5.65735437e-03]]\n\n ...\n\n [[8.96554351e-01 5.27625853e-05 1.47776358e-04 1.03245057e-01]\n  [8.87677133e-01 2.02735441e-06 8.28933844e-06 1.12312675e-01]\n  [8.87780368e-01 1.22045344e-06 7.08472407e-06 1.12211280e-01]\n  [8.81795704e-01 2.20200627e-06 1.37698016e-05 1.18188366e-01]\n  [8.74783635e-01 3.46201728e-06 2.07443918e-05 1.25192240e-01]]\n\n [[8.79331052e-01 1.19782344e-04 3.16802703e-04 1.20232403e-01]\n  [8.79381001e-01 5.50902951e-06 1.98511534e-05 1.20593600e-01]\n  [8.86741579e-01 3.42838121e-06 1.65731708e-05 1.13238484e-01]\n  [8.76659453e-01 5.72970157e-06 2.90114003e-05 1.23305738e-01]\n  [8.65949631e-01 8.47168940e-06 4.38514726e-05 1.33998111e-01]]\n\n [[8.31872404e-01 1.30867213e-03 2.87657557e-03 1.63942352e-01]\n  [8.73786092e-01 1.73526510e-04 4.28811036e-04 1.25611484e-01]\n  [8.82379889e-01 1.53899004e-04 4.10830864e-04 1.17055371e-01]\n  [8.70914161e-01 2.30183374e-04 6.24040724e-04 1.28231570e-01]\n  [8.56137872e-01 3.12714954e-04 8.38230131e-04 1.42711252e-01]]]\nPredicted mask after argmax for 2008_000026: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000026 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000026. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000026.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000026: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75903094e-01 4.75153314e-07 1.09699124e-06 2.40954701e-02]\n  [9.89792824e-01 4.44648457e-10 1.05986642e-09 1.02072153e-02]\n  [9.93991673e-01 1.46241283e-11 5.95659563e-11 6.00826973e-03]\n  [9.94902611e-01 4.56949409e-12 2.54418570e-11 5.09736082e-03]\n  [9.95542467e-01 1.69046970e-12 1.11202401e-11 4.45751334e-03]]\n\n [[9.90710735e-01 4.24931978e-10 2.17183183e-09 9.28925537e-03]\n  [9.91985142e-01 5.87642660e-14 3.77540420e-13 8.01492762e-03]\n  [9.92457986e-01 1.88545320e-15 2.62748333e-14 7.54200993e-03]\n  [9.92623806e-01 9.44660377e-16 2.20276254e-14 7.37627549e-03]\n  [9.93057013e-01 2.97826472e-16 1.03197853e-14 6.94292970e-03]]\n\n [[9.95878935e-01 2.66665110e-11 2.33623759e-10 4.12103161e-03]\n  [9.95928943e-01 2.97903944e-15 4.46905154e-14 4.07105405e-03]\n  [9.95043755e-01 1.49299615e-16 8.05178424e-15 4.95628268e-03]\n  [9.94123578e-01 1.06740121e-16 1.15028675e-14 5.87634742e-03]\n  [9.94342685e-01 3.47940885e-17 5.77579824e-15 5.65735437e-03]]\n\n ...\n\n [[8.96554351e-01 5.27625853e-05 1.47776358e-04 1.03245057e-01]\n  [8.87677133e-01 2.02735441e-06 8.28933844e-06 1.12312675e-01]\n  [8.87780368e-01 1.22045344e-06 7.08472407e-06 1.12211280e-01]\n  [8.81795704e-01 2.20200627e-06 1.37698016e-05 1.18188366e-01]\n  [8.74783635e-01 3.46201728e-06 2.07443918e-05 1.25192240e-01]]\n\n [[8.79331052e-01 1.19782344e-04 3.16802703e-04 1.20232403e-01]\n  [8.79381001e-01 5.50902951e-06 1.98511534e-05 1.20593600e-01]\n  [8.86741579e-01 3.42838121e-06 1.65731708e-05 1.13238484e-01]\n  [8.76659453e-01 5.72970157e-06 2.90114003e-05 1.23305738e-01]\n  [8.65949631e-01 8.47168940e-06 4.38514726e-05 1.33998111e-01]]\n\n [[8.31872404e-01 1.30867213e-03 2.87657557e-03 1.63942352e-01]\n  [8.73786092e-01 1.73526510e-04 4.28811036e-04 1.25611484e-01]\n  [8.82379889e-01 1.53899004e-04 4.10830864e-04 1.17055371e-01]\n  [8.70914161e-01 2.30183374e-04 6.24040724e-04 1.28231570e-01]\n  [8.56137872e-01 3.12714954e-04 8.38230131e-04 1.42711252e-01]]]\nPredicted mask after argmax for 2008_000026: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000026 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000026. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000026.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000026: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75903094e-01 4.75153314e-07 1.09699124e-06 2.40954701e-02]\n  [9.89792824e-01 4.44648457e-10 1.05986642e-09 1.02072153e-02]\n  [9.93991673e-01 1.46241283e-11 5.95659563e-11 6.00826973e-03]\n  [9.94902611e-01 4.56949409e-12 2.54418570e-11 5.09736082e-03]\n  [9.95542467e-01 1.69046970e-12 1.11202401e-11 4.45751334e-03]]\n\n [[9.90710735e-01 4.24931978e-10 2.17183183e-09 9.28925537e-03]\n  [9.91985142e-01 5.87642660e-14 3.77540420e-13 8.01492762e-03]\n  [9.92457986e-01 1.88545320e-15 2.62748333e-14 7.54200993e-03]\n  [9.92623806e-01 9.44660377e-16 2.20276254e-14 7.37627549e-03]\n  [9.93057013e-01 2.97826472e-16 1.03197853e-14 6.94292970e-03]]\n\n [[9.95878935e-01 2.66665110e-11 2.33623759e-10 4.12103161e-03]\n  [9.95928943e-01 2.97903944e-15 4.46905154e-14 4.07105405e-03]\n  [9.95043755e-01 1.49299615e-16 8.05178424e-15 4.95628268e-03]\n  [9.94123578e-01 1.06740121e-16 1.15028675e-14 5.87634742e-03]\n  [9.94342685e-01 3.47940885e-17 5.77579824e-15 5.65735437e-03]]\n\n ...\n\n [[8.96554351e-01 5.27625853e-05 1.47776358e-04 1.03245057e-01]\n  [8.87677133e-01 2.02735441e-06 8.28933844e-06 1.12312675e-01]\n  [8.87780368e-01 1.22045344e-06 7.08472407e-06 1.12211280e-01]\n  [8.81795704e-01 2.20200627e-06 1.37698016e-05 1.18188366e-01]\n  [8.74783635e-01 3.46201728e-06 2.07443918e-05 1.25192240e-01]]\n\n [[8.79331052e-01 1.19782344e-04 3.16802703e-04 1.20232403e-01]\n  [8.79381001e-01 5.50902951e-06 1.98511534e-05 1.20593600e-01]\n  [8.86741579e-01 3.42838121e-06 1.65731708e-05 1.13238484e-01]\n  [8.76659453e-01 5.72970157e-06 2.90114003e-05 1.23305738e-01]\n  [8.65949631e-01 8.47168940e-06 4.38514726e-05 1.33998111e-01]]\n\n [[8.31872404e-01 1.30867213e-03 2.87657557e-03 1.63942352e-01]\n  [8.73786092e-01 1.73526510e-04 4.28811036e-04 1.25611484e-01]\n  [8.82379889e-01 1.53899004e-04 4.10830864e-04 1.17055371e-01]\n  [8.70914161e-01 2.30183374e-04 6.24040724e-04 1.28231570e-01]\n  [8.56137872e-01 3.12714954e-04 8.38230131e-04 1.42711252e-01]]]\nPredicted mask after argmax for 2008_000026: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000026 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000026. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000053.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000053: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81226265e-01 2.34482883e-07 5.46980516e-07 1.87730026e-02]\n  [9.92137253e-01 2.39594289e-10 4.89550456e-10 7.86272995e-03]\n  [9.94805872e-01 1.28872095e-11 4.32665848e-11 5.19417366e-03]\n  [9.95116949e-01 6.12501196e-12 2.90645997e-11 4.88299271e-03]\n  [9.95296776e-01 3.49870198e-12 1.92962660e-11 4.70320694e-03]]\n\n [[9.93733108e-01 1.22084787e-10 6.26230068e-10 6.26685796e-03]\n  [9.94080007e-01 1.66258524e-14 9.27066244e-14 5.91993518e-03]\n  [9.92909312e-01 1.28101960e-15 1.47375076e-14 7.09071569e-03]\n  [9.91880000e-01 1.48408304e-15 2.94267310e-14 8.12001433e-03]\n  [9.91285682e-01 9.75303170e-16 2.73555186e-14 8.71438719e-03]]\n\n [[9.97758985e-01 3.20798401e-12 2.89525105e-11 2.24097166e-03]\n  [9.97608423e-01 3.17148008e-16 4.24515803e-15 2.39155116e-03]\n  [9.96412635e-01 4.20660351e-17 2.19905635e-15 3.58728669e-03]\n  [9.94002998e-01 1.06947253e-16 1.04379116e-14 5.99703752e-03]\n  [9.93133247e-01 8.00205525e-17 1.20818213e-14 6.86682761e-03]]\n\n ...\n\n [[8.91914189e-01 3.15910620e-05 9.90029876e-05 1.07955225e-01]\n  [8.98438513e-01 5.26267627e-07 2.99889030e-06 1.01557933e-01]\n  [9.09804523e-01 1.44159259e-07 1.18492483e-06 9.01941657e-02]\n  [9.13399220e-01 1.60790876e-07 1.45128217e-06 8.65993127e-02]\n  [9.13668990e-01 1.52539911e-07 1.38592327e-06 8.63295123e-02]]\n\n [[8.83833230e-01 5.56831510e-05 1.68357466e-04 1.15942813e-01]\n  [8.96048665e-01 1.16976594e-06 5.63425101e-06 1.03944503e-01]\n  [9.09885645e-01 3.79169393e-07 2.47107369e-06 9.01115015e-02]\n  [9.09253299e-01 4.14513210e-07 2.97229576e-06 9.07433257e-02]\n  [9.08111274e-01 3.78287098e-07 2.93651965e-06 9.18854773e-02]]\n\n [[8.45944643e-01 6.63626473e-04 1.61974470e-03 1.51771888e-01]\n  [8.97884369e-01 5.13136765e-05 1.46403108e-04 1.01917945e-01]\n  [9.13937449e-01 2.88277315e-05 9.31088944e-05 8.59405100e-02]\n  [9.10000265e-01 3.32954842e-05 1.10516950e-04 8.98558944e-02]\n  [9.05404806e-01 3.30282564e-05 1.12483700e-04 9.44497511e-02]]]\nPredicted mask after argmax for 2008_000053: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000053 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000053. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000053.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000053: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81226265e-01 2.34482883e-07 5.46980516e-07 1.87730026e-02]\n  [9.92137253e-01 2.39594289e-10 4.89550456e-10 7.86272995e-03]\n  [9.94805872e-01 1.28872095e-11 4.32665848e-11 5.19417366e-03]\n  [9.95116949e-01 6.12501196e-12 2.90645997e-11 4.88299271e-03]\n  [9.95296776e-01 3.49870198e-12 1.92962660e-11 4.70320694e-03]]\n\n [[9.93733108e-01 1.22084787e-10 6.26230068e-10 6.26685796e-03]\n  [9.94080007e-01 1.66258524e-14 9.27066244e-14 5.91993518e-03]\n  [9.92909312e-01 1.28101960e-15 1.47375076e-14 7.09071569e-03]\n  [9.91880000e-01 1.48408304e-15 2.94267310e-14 8.12001433e-03]\n  [9.91285682e-01 9.75303170e-16 2.73555186e-14 8.71438719e-03]]\n\n [[9.97758985e-01 3.20798401e-12 2.89525105e-11 2.24097166e-03]\n  [9.97608423e-01 3.17148008e-16 4.24515803e-15 2.39155116e-03]\n  [9.96412635e-01 4.20660351e-17 2.19905635e-15 3.58728669e-03]\n  [9.94002998e-01 1.06947253e-16 1.04379116e-14 5.99703752e-03]\n  [9.93133247e-01 8.00205525e-17 1.20818213e-14 6.86682761e-03]]\n\n ...\n\n [[8.91914189e-01 3.15910620e-05 9.90029876e-05 1.07955225e-01]\n  [8.98438513e-01 5.26267627e-07 2.99889030e-06 1.01557933e-01]\n  [9.09804523e-01 1.44159259e-07 1.18492483e-06 9.01941657e-02]\n  [9.13399220e-01 1.60790876e-07 1.45128217e-06 8.65993127e-02]\n  [9.13668990e-01 1.52539911e-07 1.38592327e-06 8.63295123e-02]]\n\n [[8.83833230e-01 5.56831510e-05 1.68357466e-04 1.15942813e-01]\n  [8.96048665e-01 1.16976594e-06 5.63425101e-06 1.03944503e-01]\n  [9.09885645e-01 3.79169393e-07 2.47107369e-06 9.01115015e-02]\n  [9.09253299e-01 4.14513210e-07 2.97229576e-06 9.07433257e-02]\n  [9.08111274e-01 3.78287098e-07 2.93651965e-06 9.18854773e-02]]\n\n [[8.45944643e-01 6.63626473e-04 1.61974470e-03 1.51771888e-01]\n  [8.97884369e-01 5.13136765e-05 1.46403108e-04 1.01917945e-01]\n  [9.13937449e-01 2.88277315e-05 9.31088944e-05 8.59405100e-02]\n  [9.10000265e-01 3.32954842e-05 1.10516950e-04 8.98558944e-02]\n  [9.05404806e-01 3.30282564e-05 1.12483700e-04 9.44497511e-02]]]\nPredicted mask after argmax for 2008_000053: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000053 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000053. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000056.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000056: (1, 256, 256, 4)\nSome predicted mask values: [[[9.46286976e-01 1.63146306e-05 3.00928605e-05 5.36665805e-02]\n  [9.66556013e-01 1.62843946e-07 2.78179385e-07 3.34436148e-02]\n  [9.73109961e-01 2.64016595e-08 6.98274931e-08 2.68899258e-02]\n  [9.73243892e-01 1.77253767e-08 6.09187012e-08 2.67560091e-02]\n  [9.75365996e-01 8.49086934e-09 3.38666766e-08 2.46340465e-02]]\n\n [[9.77015793e-01 5.62649909e-08 1.93370425e-07 2.29839105e-02]\n  [9.75248516e-01 1.36200301e-10 5.02194564e-10 2.47514602e-02]\n  [9.71004367e-01 2.79083007e-11 1.96533012e-10 2.89955679e-02]\n  [9.67749894e-01 3.28535324e-11 3.52090218e-10 3.22500691e-02]\n  [9.68280375e-01 1.48874402e-11 2.17184465e-10 3.17196734e-02]]\n\n [[9.88887131e-01 3.67525921e-09 1.91201721e-08 1.11128176e-02]\n  [9.86682236e-01 6.07229631e-12 4.27064425e-11 1.33177135e-02]\n  [9.81380522e-01 1.61029772e-12 3.27596734e-11 1.86195243e-02]\n  [9.74900603e-01 2.64649739e-12 9.09835193e-11 2.50994023e-02]\n  [9.75356042e-01 1.10624574e-12 5.40237889e-11 2.46439241e-02]]\n\n ...\n\n [[9.15062726e-01 1.40150460e-05 4.63334181e-05 8.48769024e-02]\n  [9.14618969e-01 2.29979520e-07 1.25973281e-06 8.53794739e-02]\n  [9.16339695e-01 8.14715833e-08 6.85637360e-07 8.36595148e-02]\n  [9.19016421e-01 9.81512258e-08 9.54519919e-07 8.09824616e-02]\n  [9.18854654e-01 1.10218018e-07 1.07295864e-06 8.11441839e-02]]\n\n [[8.97929311e-01 3.81671889e-05 1.19311670e-04 1.01913206e-01]\n  [9.04153347e-01 8.56298811e-07 3.97512258e-06 9.58418176e-02]\n  [9.13967848e-01 3.31373116e-07 2.19522462e-06 8.60296935e-02]\n  [9.10512865e-01 3.82488736e-07 2.80640666e-06 8.94838274e-02]\n  [9.09625888e-01 3.88717382e-07 3.10849555e-06 9.03705582e-02]]\n\n [[8.52409303e-01 6.25067041e-04 1.56019651e-03 1.45405471e-01]\n  [8.97804439e-01 5.31814803e-05 1.53924906e-04 1.01988450e-01]\n  [9.10774469e-01 3.37808306e-05 1.09728215e-04 8.90819728e-02]\n  [9.06044841e-01 3.90078749e-05 1.32487141e-04 9.37836841e-02]\n  [9.00494456e-01 4.09421191e-05 1.42538091e-04 9.93221402e-02]]]\nPredicted mask after argmax for 2008_000056: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000056 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000056. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000056.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000056: (1, 256, 256, 4)\nSome predicted mask values: [[[9.46286976e-01 1.63146306e-05 3.00928605e-05 5.36665805e-02]\n  [9.66556013e-01 1.62843946e-07 2.78179385e-07 3.34436148e-02]\n  [9.73109961e-01 2.64016595e-08 6.98274931e-08 2.68899258e-02]\n  [9.73243892e-01 1.77253767e-08 6.09187012e-08 2.67560091e-02]\n  [9.75365996e-01 8.49086934e-09 3.38666766e-08 2.46340465e-02]]\n\n [[9.77015793e-01 5.62649909e-08 1.93370425e-07 2.29839105e-02]\n  [9.75248516e-01 1.36200301e-10 5.02194564e-10 2.47514602e-02]\n  [9.71004367e-01 2.79083007e-11 1.96533012e-10 2.89955679e-02]\n  [9.67749894e-01 3.28535324e-11 3.52090218e-10 3.22500691e-02]\n  [9.68280375e-01 1.48874402e-11 2.17184465e-10 3.17196734e-02]]\n\n [[9.88887131e-01 3.67525921e-09 1.91201721e-08 1.11128176e-02]\n  [9.86682236e-01 6.07229631e-12 4.27064425e-11 1.33177135e-02]\n  [9.81380522e-01 1.61029772e-12 3.27596734e-11 1.86195243e-02]\n  [9.74900603e-01 2.64649739e-12 9.09835193e-11 2.50994023e-02]\n  [9.75356042e-01 1.10624574e-12 5.40237889e-11 2.46439241e-02]]\n\n ...\n\n [[9.15062726e-01 1.40150460e-05 4.63334181e-05 8.48769024e-02]\n  [9.14618969e-01 2.29979520e-07 1.25973281e-06 8.53794739e-02]\n  [9.16339695e-01 8.14715833e-08 6.85637360e-07 8.36595148e-02]\n  [9.19016421e-01 9.81512258e-08 9.54519919e-07 8.09824616e-02]\n  [9.18854654e-01 1.10218018e-07 1.07295864e-06 8.11441839e-02]]\n\n [[8.97929311e-01 3.81671889e-05 1.19311670e-04 1.01913206e-01]\n  [9.04153347e-01 8.56298811e-07 3.97512258e-06 9.58418176e-02]\n  [9.13967848e-01 3.31373116e-07 2.19522462e-06 8.60296935e-02]\n  [9.10512865e-01 3.82488736e-07 2.80640666e-06 8.94838274e-02]\n  [9.09625888e-01 3.88717382e-07 3.10849555e-06 9.03705582e-02]]\n\n [[8.52409303e-01 6.25067041e-04 1.56019651e-03 1.45405471e-01]\n  [8.97804439e-01 5.31814803e-05 1.53924906e-04 1.01988450e-01]\n  [9.10774469e-01 3.37808306e-05 1.09728215e-04 8.90819728e-02]\n  [9.06044841e-01 3.90078749e-05 1.32487141e-04 9.37836841e-02]\n  [9.00494456e-01 4.09421191e-05 1.42538091e-04 9.93221402e-02]]]\nPredicted mask after argmax for 2008_000056: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000056 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000056. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000059.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000059: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94401455e-01 1.22133170e-09 3.92985644e-09 5.59847429e-03]\n  [9.98258293e-01 1.01354844e-13 3.16599367e-13 1.74168404e-03]\n  [9.98823464e-01 4.46878955e-15 2.82429736e-14 1.17656926e-03]\n  [9.98550117e-01 7.73594683e-15 7.04108606e-14 1.44982559e-03]\n  [9.97853100e-01 2.39793960e-14 2.52266361e-13 2.14690017e-03]]\n\n [[9.98776615e-01 3.51368443e-14 3.25536066e-13 1.22339872e-03]\n  [9.98952866e-01 1.90947251e-19 2.17589260e-18 1.04707677e-03]\n  [9.98562396e-01 1.44344939e-20 4.51169638e-19 1.43760687e-03]\n  [9.97822762e-01 1.08962227e-19 6.11654775e-18 2.17725849e-03]\n  [9.96675849e-01 5.55838540e-19 4.72094541e-17 3.32420645e-03]]\n\n [[9.99713123e-01 2.58378560e-16 5.20589160e-15 2.86875671e-04]\n  [9.99717891e-01 7.81521596e-22 2.85909227e-20 2.82059860e-04]\n  [9.99457777e-01 1.28140697e-22 2.63078396e-20 5.42276714e-04]\n  [9.98621106e-01 2.55388642e-21 9.91839082e-19 1.37884368e-03]\n  [9.97735858e-01 1.36801230e-20 7.62891639e-18 2.26408709e-03]]\n\n ...\n\n [[9.27603006e-01 5.49157676e-06 2.01793264e-05 7.23713115e-02]\n  [9.33182597e-01 4.94684151e-08 3.13950920e-07 6.68170601e-02]\n  [9.35514092e-01 1.27099264e-08 1.34686189e-07 6.44857660e-02]\n  [9.40324008e-01 1.24553186e-08 1.57864434e-07 5.96759096e-02]\n  [9.41474438e-01 1.12868790e-08 1.47479909e-07 5.85254170e-02]]\n\n [[9.11516249e-01 1.66656755e-05 5.71995261e-05 8.84099752e-02]\n  [9.22689021e-01 2.09952532e-07 1.11749216e-06 7.73096085e-02]\n  [9.32958126e-01 5.87707305e-08 4.84929785e-07 6.70413375e-02]\n  [9.32025433e-01 5.63056304e-08 5.35217623e-07 6.79738820e-02]\n  [9.32718575e-01 5.00488824e-08 5.25124676e-07 6.72808215e-02]]\n\n [[8.67787182e-01 3.57449957e-04 9.60848236e-04 1.30894542e-01]\n  [9.13074315e-01 2.09931768e-05 6.69051587e-05 8.68377984e-02]\n  [9.27125394e-01 1.08372433e-05 4.01280849e-05 7.28237033e-02]\n  [9.22708929e-01 1.22523888e-05 4.79756236e-05 7.72308782e-02]\n  [9.17346895e-01 1.25867637e-05 5.12480983e-05 8.25892538e-02]]]\nPredicted mask after argmax for 2008_000059: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000059 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000059. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000059.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000059: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94401455e-01 1.22133170e-09 3.92985644e-09 5.59847429e-03]\n  [9.98258293e-01 1.01354844e-13 3.16599367e-13 1.74168404e-03]\n  [9.98823464e-01 4.46878955e-15 2.82429736e-14 1.17656926e-03]\n  [9.98550117e-01 7.73594683e-15 7.04108606e-14 1.44982559e-03]\n  [9.97853100e-01 2.39793960e-14 2.52266361e-13 2.14690017e-03]]\n\n [[9.98776615e-01 3.51368443e-14 3.25536066e-13 1.22339872e-03]\n  [9.98952866e-01 1.90947251e-19 2.17589260e-18 1.04707677e-03]\n  [9.98562396e-01 1.44344939e-20 4.51169638e-19 1.43760687e-03]\n  [9.97822762e-01 1.08962227e-19 6.11654775e-18 2.17725849e-03]\n  [9.96675849e-01 5.55838540e-19 4.72094541e-17 3.32420645e-03]]\n\n [[9.99713123e-01 2.58378560e-16 5.20589160e-15 2.86875671e-04]\n  [9.99717891e-01 7.81521596e-22 2.85909227e-20 2.82059860e-04]\n  [9.99457777e-01 1.28140697e-22 2.63078396e-20 5.42276714e-04]\n  [9.98621106e-01 2.55388642e-21 9.91839082e-19 1.37884368e-03]\n  [9.97735858e-01 1.36801230e-20 7.62891639e-18 2.26408709e-03]]\n\n ...\n\n [[9.27603006e-01 5.49157676e-06 2.01793264e-05 7.23713115e-02]\n  [9.33182597e-01 4.94684151e-08 3.13950920e-07 6.68170601e-02]\n  [9.35514092e-01 1.27099264e-08 1.34686189e-07 6.44857660e-02]\n  [9.40324008e-01 1.24553186e-08 1.57864434e-07 5.96759096e-02]\n  [9.41474438e-01 1.12868790e-08 1.47479909e-07 5.85254170e-02]]\n\n [[9.11516249e-01 1.66656755e-05 5.71995261e-05 8.84099752e-02]\n  [9.22689021e-01 2.09952532e-07 1.11749216e-06 7.73096085e-02]\n  [9.32958126e-01 5.87707305e-08 4.84929785e-07 6.70413375e-02]\n  [9.32025433e-01 5.63056304e-08 5.35217623e-07 6.79738820e-02]\n  [9.32718575e-01 5.00488824e-08 5.25124676e-07 6.72808215e-02]]\n\n [[8.67787182e-01 3.57449957e-04 9.60848236e-04 1.30894542e-01]\n  [9.13074315e-01 2.09931768e-05 6.69051587e-05 8.68377984e-02]\n  [9.27125394e-01 1.08372433e-05 4.01280849e-05 7.28237033e-02]\n  [9.22708929e-01 1.22523888e-05 4.79756236e-05 7.72308782e-02]\n  [9.17346895e-01 1.25867637e-05 5.12480983e-05 8.25892538e-02]]]\nPredicted mask after argmax for 2008_000059: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000059 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000059. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000059.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000059: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94401455e-01 1.22133170e-09 3.92985644e-09 5.59847429e-03]\n  [9.98258293e-01 1.01354844e-13 3.16599367e-13 1.74168404e-03]\n  [9.98823464e-01 4.46878955e-15 2.82429736e-14 1.17656926e-03]\n  [9.98550117e-01 7.73594683e-15 7.04108606e-14 1.44982559e-03]\n  [9.97853100e-01 2.39793960e-14 2.52266361e-13 2.14690017e-03]]\n\n [[9.98776615e-01 3.51368443e-14 3.25536066e-13 1.22339872e-03]\n  [9.98952866e-01 1.90947251e-19 2.17589260e-18 1.04707677e-03]\n  [9.98562396e-01 1.44344939e-20 4.51169638e-19 1.43760687e-03]\n  [9.97822762e-01 1.08962227e-19 6.11654775e-18 2.17725849e-03]\n  [9.96675849e-01 5.55838540e-19 4.72094541e-17 3.32420645e-03]]\n\n [[9.99713123e-01 2.58378560e-16 5.20589160e-15 2.86875671e-04]\n  [9.99717891e-01 7.81521596e-22 2.85909227e-20 2.82059860e-04]\n  [9.99457777e-01 1.28140697e-22 2.63078396e-20 5.42276714e-04]\n  [9.98621106e-01 2.55388642e-21 9.91839082e-19 1.37884368e-03]\n  [9.97735858e-01 1.36801230e-20 7.62891639e-18 2.26408709e-03]]\n\n ...\n\n [[9.27603006e-01 5.49157676e-06 2.01793264e-05 7.23713115e-02]\n  [9.33182597e-01 4.94684151e-08 3.13950920e-07 6.68170601e-02]\n  [9.35514092e-01 1.27099264e-08 1.34686189e-07 6.44857660e-02]\n  [9.40324008e-01 1.24553186e-08 1.57864434e-07 5.96759096e-02]\n  [9.41474438e-01 1.12868790e-08 1.47479909e-07 5.85254170e-02]]\n\n [[9.11516249e-01 1.66656755e-05 5.71995261e-05 8.84099752e-02]\n  [9.22689021e-01 2.09952532e-07 1.11749216e-06 7.73096085e-02]\n  [9.32958126e-01 5.87707305e-08 4.84929785e-07 6.70413375e-02]\n  [9.32025433e-01 5.63056304e-08 5.35217623e-07 6.79738820e-02]\n  [9.32718575e-01 5.00488824e-08 5.25124676e-07 6.72808215e-02]]\n\n [[8.67787182e-01 3.57449957e-04 9.60848236e-04 1.30894542e-01]\n  [9.13074315e-01 2.09931768e-05 6.69051587e-05 8.68377984e-02]\n  [9.27125394e-01 1.08372433e-05 4.01280849e-05 7.28237033e-02]\n  [9.22708929e-01 1.22523888e-05 4.79756236e-05 7.72308782e-02]\n  [9.17346895e-01 1.25867637e-05 5.12480983e-05 8.25892538e-02]]]\nPredicted mask after argmax for 2008_000059: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000059 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000059. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000060.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000060: (1, 256, 256, 4)\nSome predicted mask values: [[[9.2231566e-01 7.4365722e-05 1.2445354e-04 7.7485457e-02]\n  [9.4635862e-01 1.4386369e-06 2.4185154e-06 5.3637598e-02]\n  [9.5389557e-01 3.4139347e-07 8.5485675e-07 4.6103165e-02]\n  [9.5242977e-01 3.0483920e-07 9.4841977e-07 4.7568969e-02]\n  [9.5199847e-01 2.2452775e-07 7.9510659e-07 4.8000459e-02]]\n\n [[9.6327364e-01 5.2986735e-07 1.5398867e-06 3.6724292e-02]\n  [9.6050572e-01 3.0729244e-09 9.8738591e-09 3.9494295e-02]\n  [9.5582598e-01 8.3879920e-10 4.8863513e-09 4.4173956e-02]\n  [9.5066684e-01 1.1851785e-09 9.8093942e-09 4.9333211e-02]\n  [9.4951200e-01 8.4084983e-10 9.0054133e-09 5.0488062e-02]]\n\n [[9.7942573e-01 5.7610109e-08 2.3700494e-07 2.0574037e-02]\n  [9.7574413e-01 2.5278646e-10 1.3709313e-09 2.4255900e-02]\n  [9.6849376e-01 9.0329064e-11 1.1918031e-09 3.1506166e-02]\n  [9.5920157e-01 1.5841924e-10 3.1585705e-09 4.0798422e-02]\n  [9.5923764e-01 9.5271242e-11 2.4884983e-09 4.0762406e-02]]\n\n ...\n\n [[8.7828362e-01 1.2299362e-04 3.1072175e-04 1.2128256e-01]\n  [8.6920989e-01 5.9718177e-06 2.2029819e-05 1.3076206e-01]\n  [8.7046820e-01 3.3839508e-06 1.7095053e-05 1.2951124e-01]\n  [8.6857927e-01 4.9807741e-06 2.7469654e-05 1.3138838e-01]\n  [8.6485130e-01 6.0716120e-06 3.2997923e-05 1.3510957e-01]]\n\n [[8.6702186e-01 2.0805556e-04 5.0254486e-04 1.3226759e-01]\n  [8.6737955e-01 1.1657577e-05 3.7807273e-05 1.3257097e-01]\n  [8.7452263e-01 7.3191100e-06 3.1242191e-05 1.2543879e-01]\n  [8.6676133e-01 1.0860569e-05 4.8956554e-05 1.3317885e-01]\n  [8.5801023e-01 1.2947852e-05 6.0470891e-05 1.4191630e-01]]\n\n [[8.2483011e-01 1.6467302e-03 3.4282974e-03 1.7009495e-01]\n  [8.6993003e-01 2.2954907e-04 5.3840963e-04 1.2930197e-01]\n  [8.7882555e-01 2.0507369e-04 5.0789636e-04 1.2046148e-01]\n  [8.6941689e-01 2.8858604e-04 7.2760950e-04 1.2956695e-01]\n  [8.5815269e-01 3.4156689e-04 8.6402538e-04 1.4064170e-01]]]\nPredicted mask after argmax for 2008_000060: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000060 has shape: (336, 448)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000060. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000060.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\nPredicted mask shape for 2008_000060: (1, 256, 256, 4)\nSome predicted mask values: [[[9.2231566e-01 7.4365722e-05 1.2445354e-04 7.7485457e-02]\n  [9.4635862e-01 1.4386369e-06 2.4185154e-06 5.3637598e-02]\n  [9.5389557e-01 3.4139347e-07 8.5485675e-07 4.6103165e-02]\n  [9.5242977e-01 3.0483920e-07 9.4841977e-07 4.7568969e-02]\n  [9.5199847e-01 2.2452775e-07 7.9510659e-07 4.8000459e-02]]\n\n [[9.6327364e-01 5.2986735e-07 1.5398867e-06 3.6724292e-02]\n  [9.6050572e-01 3.0729244e-09 9.8738591e-09 3.9494295e-02]\n  [9.5582598e-01 8.3879920e-10 4.8863513e-09 4.4173956e-02]\n  [9.5066684e-01 1.1851785e-09 9.8093942e-09 4.9333211e-02]\n  [9.4951200e-01 8.4084983e-10 9.0054133e-09 5.0488062e-02]]\n\n [[9.7942573e-01 5.7610109e-08 2.3700494e-07 2.0574037e-02]\n  [9.7574413e-01 2.5278646e-10 1.3709313e-09 2.4255900e-02]\n  [9.6849376e-01 9.0329064e-11 1.1918031e-09 3.1506166e-02]\n  [9.5920157e-01 1.5841924e-10 3.1585705e-09 4.0798422e-02]\n  [9.5923764e-01 9.5271242e-11 2.4884983e-09 4.0762406e-02]]\n\n ...\n\n [[8.7828362e-01 1.2299362e-04 3.1072175e-04 1.2128256e-01]\n  [8.6920989e-01 5.9718177e-06 2.2029819e-05 1.3076206e-01]\n  [8.7046820e-01 3.3839508e-06 1.7095053e-05 1.2951124e-01]\n  [8.6857927e-01 4.9807741e-06 2.7469654e-05 1.3138838e-01]\n  [8.6485130e-01 6.0716120e-06 3.2997923e-05 1.3510957e-01]]\n\n [[8.6702186e-01 2.0805556e-04 5.0254486e-04 1.3226759e-01]\n  [8.6737955e-01 1.1657577e-05 3.7807273e-05 1.3257097e-01]\n  [8.7452263e-01 7.3191100e-06 3.1242191e-05 1.2543879e-01]\n  [8.6676133e-01 1.0860569e-05 4.8956554e-05 1.3317885e-01]\n  [8.5801023e-01 1.2947852e-05 6.0470891e-05 1.4191630e-01]]\n\n [[8.2483011e-01 1.6467302e-03 3.4282974e-03 1.7009495e-01]\n  [8.6993003e-01 2.2954907e-04 5.3840963e-04 1.2930197e-01]\n  [8.7882555e-01 2.0507369e-04 5.0789636e-04 1.2046148e-01]\n  [8.6941689e-01 2.8858604e-04 7.2760950e-04 1.2956695e-01]\n  [8.5815269e-01 3.4156689e-04 8.6402538e-04 1.4064170e-01]]]\nPredicted mask after argmax for 2008_000060: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000060 has shape: (336, 448)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000060. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\nPredicted mask shape for 2008_000062: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78428423e-01 2.40520308e-07 5.84871714e-07 2.15707943e-02]\n  [9.91167128e-01 1.50813390e-10 4.08311412e-10 8.83292034e-03]\n  [9.94810104e-01 5.21860853e-12 2.40394562e-11 5.18991938e-03]\n  [9.95558023e-01 2.13158939e-12 1.27068165e-11 4.44193278e-03]\n  [9.96073902e-01 9.27861954e-13 6.39534562e-12 3.92602012e-03]]\n\n [[9.92122829e-01 1.40329012e-10 8.08669132e-10 7.87716918e-03]\n  [9.93328691e-01 1.21708030e-14 9.39182068e-14 6.67135511e-03]\n  [9.93669510e-01 4.39023132e-16 7.37869713e-15 6.33049337e-03]\n  [9.93575156e-01 3.35088828e-16 8.74799450e-15 6.42478978e-03]\n  [9.93719697e-01 1.37237257e-16 5.08738618e-15 6.28025876e-03]]\n\n [[9.96612489e-01 7.94449142e-12 8.16425816e-11 3.38752242e-03]\n  [9.96668279e-01 5.10557473e-16 9.66819246e-15 3.33167124e-03]\n  [9.95967150e-01 2.84039496e-17 1.90392191e-15 4.03282233e-03]\n  [9.95071113e-01 3.09878434e-17 3.87345837e-15 4.92891017e-03]\n  [9.95055676e-01 1.27881651e-17 2.39832318e-15 4.94435569e-03]]\n\n ...\n\n [[9.62811768e-01 5.07896907e-08 3.42829907e-07 3.71879488e-02]\n  [9.77869630e-01 1.40246339e-11 2.71173806e-10 2.21303198e-02]\n  [9.84151125e-01 4.72532278e-13 2.11237416e-11 1.58488713e-02]\n  [9.86314476e-01 2.66422030e-13 1.47821529e-11 1.36854611e-02]\n  [9.86814559e-01 2.27985789e-13 1.32211941e-11 1.31853810e-02]]\n\n [[9.49615180e-01 3.28363200e-07 1.88526519e-06 5.03825210e-02]\n  [9.69672740e-01 2.45322096e-10 3.09527781e-09 3.03272083e-02]\n  [9.78763819e-01 1.51391365e-11 3.66863290e-10 2.12361235e-02]\n  [9.79410291e-01 9.34007472e-12 2.85457519e-10 2.05897093e-02]\n  [9.79878306e-01 7.90288321e-12 2.77486895e-10 2.01216359e-02]]\n\n [[9.13726032e-01 2.89422260e-05 1.12244321e-04 8.61328468e-02]\n  [9.57552612e-01 3.16524932e-07 1.64620940e-06 4.24454920e-02]\n  [9.71078992e-01 6.35898871e-08 4.41408901e-07 2.89204232e-02]\n  [9.71012712e-01 5.98895014e-08 4.66603922e-07 2.89866775e-02]\n  [9.69994664e-01 6.15098088e-08 5.09978179e-07 3.00047901e-02]]]\nPredicted mask after argmax for 2008_000062: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000062 has shape: (500, 493)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000062. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\nPredicted mask shape for 2008_000062: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78428423e-01 2.40520308e-07 5.84871714e-07 2.15707943e-02]\n  [9.91167128e-01 1.50813390e-10 4.08311412e-10 8.83292034e-03]\n  [9.94810104e-01 5.21860853e-12 2.40394562e-11 5.18991938e-03]\n  [9.95558023e-01 2.13158939e-12 1.27068165e-11 4.44193278e-03]\n  [9.96073902e-01 9.27861954e-13 6.39534562e-12 3.92602012e-03]]\n\n [[9.92122829e-01 1.40329012e-10 8.08669132e-10 7.87716918e-03]\n  [9.93328691e-01 1.21708030e-14 9.39182068e-14 6.67135511e-03]\n  [9.93669510e-01 4.39023132e-16 7.37869713e-15 6.33049337e-03]\n  [9.93575156e-01 3.35088828e-16 8.74799450e-15 6.42478978e-03]\n  [9.93719697e-01 1.37237257e-16 5.08738618e-15 6.28025876e-03]]\n\n [[9.96612489e-01 7.94449142e-12 8.16425816e-11 3.38752242e-03]\n  [9.96668279e-01 5.10557473e-16 9.66819246e-15 3.33167124e-03]\n  [9.95967150e-01 2.84039496e-17 1.90392191e-15 4.03282233e-03]\n  [9.95071113e-01 3.09878434e-17 3.87345837e-15 4.92891017e-03]\n  [9.95055676e-01 1.27881651e-17 2.39832318e-15 4.94435569e-03]]\n\n ...\n\n [[9.62811768e-01 5.07896907e-08 3.42829907e-07 3.71879488e-02]\n  [9.77869630e-01 1.40246339e-11 2.71173806e-10 2.21303198e-02]\n  [9.84151125e-01 4.72532278e-13 2.11237416e-11 1.58488713e-02]\n  [9.86314476e-01 2.66422030e-13 1.47821529e-11 1.36854611e-02]\n  [9.86814559e-01 2.27985789e-13 1.32211941e-11 1.31853810e-02]]\n\n [[9.49615180e-01 3.28363200e-07 1.88526519e-06 5.03825210e-02]\n  [9.69672740e-01 2.45322096e-10 3.09527781e-09 3.03272083e-02]\n  [9.78763819e-01 1.51391365e-11 3.66863290e-10 2.12361235e-02]\n  [9.79410291e-01 9.34007472e-12 2.85457519e-10 2.05897093e-02]\n  [9.79878306e-01 7.90288321e-12 2.77486895e-10 2.01216359e-02]]\n\n [[9.13726032e-01 2.89422260e-05 1.12244321e-04 8.61328468e-02]\n  [9.57552612e-01 3.16524932e-07 1.64620940e-06 4.24454920e-02]\n  [9.71078992e-01 6.35898871e-08 4.41408901e-07 2.89204232e-02]\n  [9.71012712e-01 5.98895014e-08 4.66603922e-07 2.89866775e-02]\n  [9.69994664e-01 6.15098088e-08 5.09978179e-07 3.00047901e-02]]]\nPredicted mask after argmax for 2008_000062: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000062 has shape: (500, 493)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000062. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000062: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78428423e-01 2.40520308e-07 5.84871714e-07 2.15707943e-02]\n  [9.91167128e-01 1.50813390e-10 4.08311412e-10 8.83292034e-03]\n  [9.94810104e-01 5.21860853e-12 2.40394562e-11 5.18991938e-03]\n  [9.95558023e-01 2.13158939e-12 1.27068165e-11 4.44193278e-03]\n  [9.96073902e-01 9.27861954e-13 6.39534562e-12 3.92602012e-03]]\n\n [[9.92122829e-01 1.40329012e-10 8.08669132e-10 7.87716918e-03]\n  [9.93328691e-01 1.21708030e-14 9.39182068e-14 6.67135511e-03]\n  [9.93669510e-01 4.39023132e-16 7.37869713e-15 6.33049337e-03]\n  [9.93575156e-01 3.35088828e-16 8.74799450e-15 6.42478978e-03]\n  [9.93719697e-01 1.37237257e-16 5.08738618e-15 6.28025876e-03]]\n\n [[9.96612489e-01 7.94449142e-12 8.16425816e-11 3.38752242e-03]\n  [9.96668279e-01 5.10557473e-16 9.66819246e-15 3.33167124e-03]\n  [9.95967150e-01 2.84039496e-17 1.90392191e-15 4.03282233e-03]\n  [9.95071113e-01 3.09878434e-17 3.87345837e-15 4.92891017e-03]\n  [9.95055676e-01 1.27881651e-17 2.39832318e-15 4.94435569e-03]]\n\n ...\n\n [[9.62811768e-01 5.07896907e-08 3.42829907e-07 3.71879488e-02]\n  [9.77869630e-01 1.40246339e-11 2.71173806e-10 2.21303198e-02]\n  [9.84151125e-01 4.72532278e-13 2.11237416e-11 1.58488713e-02]\n  [9.86314476e-01 2.66422030e-13 1.47821529e-11 1.36854611e-02]\n  [9.86814559e-01 2.27985789e-13 1.32211941e-11 1.31853810e-02]]\n\n [[9.49615180e-01 3.28363200e-07 1.88526519e-06 5.03825210e-02]\n  [9.69672740e-01 2.45322096e-10 3.09527781e-09 3.03272083e-02]\n  [9.78763819e-01 1.51391365e-11 3.66863290e-10 2.12361235e-02]\n  [9.79410291e-01 9.34007472e-12 2.85457519e-10 2.05897093e-02]\n  [9.79878306e-01 7.90288321e-12 2.77486895e-10 2.01216359e-02]]\n\n [[9.13726032e-01 2.89422260e-05 1.12244321e-04 8.61328468e-02]\n  [9.57552612e-01 3.16524932e-07 1.64620940e-06 4.24454920e-02]\n  [9.71078992e-01 6.35898871e-08 4.41408901e-07 2.89204232e-02]\n  [9.71012712e-01 5.98895014e-08 4.66603922e-07 2.89866775e-02]\n  [9.69994664e-01 6.15098088e-08 5.09978179e-07 3.00047901e-02]]]\nPredicted mask after argmax for 2008_000062: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000062 has shape: (500, 493)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000062. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000066.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000066: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86590445e-01 6.46411351e-08 1.56994474e-07 1.34092439e-02]\n  [9.94258642e-01 5.37592748e-11 1.03703192e-10 5.74135780e-03]\n  [9.96035278e-01 2.56090591e-12 9.06686098e-12 3.96476872e-03]\n  [9.96266365e-01 8.58083353e-13 4.91297714e-12 3.73356603e-03]\n  [9.96905506e-01 2.02345925e-13 1.51091542e-12 3.09444987e-03]]\n\n [[9.96381879e-01 1.35038222e-11 7.82472490e-11 3.61809763e-03]\n  [9.96118724e-01 1.12395957e-15 6.68665850e-15 3.88127472e-03]\n  [9.94792402e-01 7.97595538e-17 1.19447750e-15 5.20752696e-03]\n  [9.94127989e-01 6.32361711e-17 1.97023082e-15 5.87201491e-03]\n  [9.94532228e-01 1.36632420e-17 7.22677658e-16 5.46778133e-03]]\n\n [[9.98931110e-01 1.58523869e-13 1.69152604e-12 1.06893398e-03]\n  [9.98688519e-01 8.50489983e-18 1.28636803e-16 1.31151429e-03]\n  [9.97830927e-01 9.82816816e-19 7.97758261e-17 2.16911687e-03]\n  [9.96148586e-01 1.77985921e-18 3.41840078e-16 3.85145401e-03]\n  [9.96248066e-01 3.85098122e-19 1.43807017e-16 3.75192589e-03]]\n\n ...\n\n [[8.95477355e-01 3.02097778e-05 9.71059490e-05 1.04395337e-01]\n  [9.02615011e-01 5.18201091e-07 2.74887793e-06 9.73816514e-02]\n  [9.08898056e-01 1.69200476e-07 1.35309074e-06 9.11004618e-02]\n  [9.11050320e-01 1.99294846e-07 1.81494215e-06 8.89475718e-02]\n  [9.08881783e-01 2.40195448e-07 2.17823003e-06 9.11157951e-02]]\n\n [[8.78176332e-01 7.62569762e-05 2.30826670e-04 1.21516630e-01]\n  [8.91271293e-01 1.77422760e-06 8.18750141e-06 1.08718686e-01]\n  [9.05472517e-01 6.18488059e-07 4.03803233e-06 9.45228785e-02]\n  [9.02409971e-01 6.78163190e-07 4.81195048e-06 9.75845307e-02]\n  [9.00200784e-01 7.16035004e-07 5.50513914e-06 9.97930393e-02]]\n\n [[8.34025562e-01 9.87646286e-04 2.39537214e-03 1.62591413e-01]\n  [8.84006560e-01 9.02644533e-05 2.59023596e-04 1.15644060e-01]\n  [8.99842322e-01 5.35823565e-05 1.77852839e-04 9.99262556e-02]\n  [8.94160211e-01 6.19893690e-05 2.12175029e-04 1.05565459e-01]\n  [8.87119293e-01 6.78158322e-05 2.36219741e-04 1.12576693e-01]]]\nPredicted mask after argmax for 2008_000066: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000066 has shape: (500, 483)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000066. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000066.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000066: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86590445e-01 6.46411351e-08 1.56994474e-07 1.34092439e-02]\n  [9.94258642e-01 5.37592748e-11 1.03703192e-10 5.74135780e-03]\n  [9.96035278e-01 2.56090591e-12 9.06686098e-12 3.96476872e-03]\n  [9.96266365e-01 8.58083353e-13 4.91297714e-12 3.73356603e-03]\n  [9.96905506e-01 2.02345925e-13 1.51091542e-12 3.09444987e-03]]\n\n [[9.96381879e-01 1.35038222e-11 7.82472490e-11 3.61809763e-03]\n  [9.96118724e-01 1.12395957e-15 6.68665850e-15 3.88127472e-03]\n  [9.94792402e-01 7.97595538e-17 1.19447750e-15 5.20752696e-03]\n  [9.94127989e-01 6.32361711e-17 1.97023082e-15 5.87201491e-03]\n  [9.94532228e-01 1.36632420e-17 7.22677658e-16 5.46778133e-03]]\n\n [[9.98931110e-01 1.58523869e-13 1.69152604e-12 1.06893398e-03]\n  [9.98688519e-01 8.50489983e-18 1.28636803e-16 1.31151429e-03]\n  [9.97830927e-01 9.82816816e-19 7.97758261e-17 2.16911687e-03]\n  [9.96148586e-01 1.77985921e-18 3.41840078e-16 3.85145401e-03]\n  [9.96248066e-01 3.85098122e-19 1.43807017e-16 3.75192589e-03]]\n\n ...\n\n [[8.95477355e-01 3.02097778e-05 9.71059490e-05 1.04395337e-01]\n  [9.02615011e-01 5.18201091e-07 2.74887793e-06 9.73816514e-02]\n  [9.08898056e-01 1.69200476e-07 1.35309074e-06 9.11004618e-02]\n  [9.11050320e-01 1.99294846e-07 1.81494215e-06 8.89475718e-02]\n  [9.08881783e-01 2.40195448e-07 2.17823003e-06 9.11157951e-02]]\n\n [[8.78176332e-01 7.62569762e-05 2.30826670e-04 1.21516630e-01]\n  [8.91271293e-01 1.77422760e-06 8.18750141e-06 1.08718686e-01]\n  [9.05472517e-01 6.18488059e-07 4.03803233e-06 9.45228785e-02]\n  [9.02409971e-01 6.78163190e-07 4.81195048e-06 9.75845307e-02]\n  [9.00200784e-01 7.16035004e-07 5.50513914e-06 9.97930393e-02]]\n\n [[8.34025562e-01 9.87646286e-04 2.39537214e-03 1.62591413e-01]\n  [8.84006560e-01 9.02644533e-05 2.59023596e-04 1.15644060e-01]\n  [8.99842322e-01 5.35823565e-05 1.77852839e-04 9.99262556e-02]\n  [8.94160211e-01 6.19893690e-05 2.12175029e-04 1.05565459e-01]\n  [8.87119293e-01 6.78158322e-05 2.36219741e-04 1.12576693e-01]]]\nPredicted mask after argmax for 2008_000066: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000066 has shape: (500, 483)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000066. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000073.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000073: (1, 256, 256, 4)\nSome predicted mask values: [[[9.17343676e-01 9.46137370e-05 1.55466376e-04 8.24061856e-02]\n  [9.41900015e-01 1.98163593e-06 3.32671516e-06 5.80945425e-02]\n  [9.48954105e-01 4.86889917e-07 1.24201335e-06 5.10442033e-02]\n  [9.46701467e-01 4.32264045e-07 1.38755081e-06 5.32967933e-02]\n  [9.46362078e-01 3.00111225e-07 1.10757253e-06 5.36365546e-02]]\n\n [[9.62416112e-01 6.30603438e-07 1.80247457e-06 3.75815406e-02]\n  [9.60169613e-01 3.71927089e-09 1.19537633e-08 3.98303866e-02]\n  [9.55399454e-01 9.85925674e-10 5.94993166e-09 4.46004793e-02]\n  [9.49963510e-01 1.34239908e-09 1.17251346e-08 5.00364825e-02]\n  [9.49939251e-01 8.53918380e-10 9.83910553e-09 5.00607044e-02]]\n\n [[9.79282022e-01 6.14837603e-08 2.48127179e-07 2.07176693e-02]\n  [9.75889564e-01 2.68278066e-10 1.41507583e-09 2.41104551e-02]\n  [9.68980312e-01 9.53296261e-11 1.26533373e-09 3.10196634e-02]\n  [9.59141254e-01 1.67988568e-10 3.34025430e-09 4.08587791e-02]\n  [9.60131586e-01 9.06090411e-11 2.41243869e-09 3.98684368e-02]]\n\n ...\n\n [[9.31624830e-01 2.99016233e-06 1.17438822e-05 6.83604255e-02]\n  [9.32786405e-01 2.16602292e-08 1.63472180e-07 6.72134683e-02]\n  [9.39212024e-01 4.35470549e-09 5.47461632e-08 6.07879609e-02]\n  [9.43387151e-01 4.01356814e-09 6.18666149e-08 5.66127039e-02]\n  [9.45473731e-01 3.24320393e-09 5.25359027e-08 5.45262434e-02]]\n\n [[9.21401799e-01 7.05845332e-06 2.59409917e-05 7.85651878e-02]\n  [9.29592371e-01 6.57415740e-08 4.04813022e-07 7.04071224e-02]\n  [9.41194654e-01 1.50278563e-08 1.45789031e-07 5.88052012e-02]\n  [9.39696968e-01 1.46593955e-08 1.62202298e-07 6.03029318e-02]\n  [9.39672410e-01 1.22328192e-08 1.55110328e-07 6.03274703e-02]]\n\n [[8.89450967e-01 1.44067206e-04 4.21145931e-04 1.09983787e-01]\n  [9.35311913e-01 5.88993498e-06 2.10819089e-05 6.46610260e-02]\n  [9.47178662e-01 2.98739428e-06 1.21391895e-05 5.28062880e-02]\n  [9.45233643e-01 3.44766863e-06 1.49035404e-05 5.47479913e-02]\n  [9.42396820e-01 3.36402968e-06 1.50885880e-05 5.75846955e-02]]]\nPredicted mask after argmax for 2008_000073: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000073 has shape: (351, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000073. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000073.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000073: (1, 256, 256, 4)\nSome predicted mask values: [[[9.17343676e-01 9.46137370e-05 1.55466376e-04 8.24061856e-02]\n  [9.41900015e-01 1.98163593e-06 3.32671516e-06 5.80945425e-02]\n  [9.48954105e-01 4.86889917e-07 1.24201335e-06 5.10442033e-02]\n  [9.46701467e-01 4.32264045e-07 1.38755081e-06 5.32967933e-02]\n  [9.46362078e-01 3.00111225e-07 1.10757253e-06 5.36365546e-02]]\n\n [[9.62416112e-01 6.30603438e-07 1.80247457e-06 3.75815406e-02]\n  [9.60169613e-01 3.71927089e-09 1.19537633e-08 3.98303866e-02]\n  [9.55399454e-01 9.85925674e-10 5.94993166e-09 4.46004793e-02]\n  [9.49963510e-01 1.34239908e-09 1.17251346e-08 5.00364825e-02]\n  [9.49939251e-01 8.53918380e-10 9.83910553e-09 5.00607044e-02]]\n\n [[9.79282022e-01 6.14837603e-08 2.48127179e-07 2.07176693e-02]\n  [9.75889564e-01 2.68278066e-10 1.41507583e-09 2.41104551e-02]\n  [9.68980312e-01 9.53296261e-11 1.26533373e-09 3.10196634e-02]\n  [9.59141254e-01 1.67988568e-10 3.34025430e-09 4.08587791e-02]\n  [9.60131586e-01 9.06090411e-11 2.41243869e-09 3.98684368e-02]]\n\n ...\n\n [[9.31624830e-01 2.99016233e-06 1.17438822e-05 6.83604255e-02]\n  [9.32786405e-01 2.16602292e-08 1.63472180e-07 6.72134683e-02]\n  [9.39212024e-01 4.35470549e-09 5.47461632e-08 6.07879609e-02]\n  [9.43387151e-01 4.01356814e-09 6.18666149e-08 5.66127039e-02]\n  [9.45473731e-01 3.24320393e-09 5.25359027e-08 5.45262434e-02]]\n\n [[9.21401799e-01 7.05845332e-06 2.59409917e-05 7.85651878e-02]\n  [9.29592371e-01 6.57415740e-08 4.04813022e-07 7.04071224e-02]\n  [9.41194654e-01 1.50278563e-08 1.45789031e-07 5.88052012e-02]\n  [9.39696968e-01 1.46593955e-08 1.62202298e-07 6.03029318e-02]\n  [9.39672410e-01 1.22328192e-08 1.55110328e-07 6.03274703e-02]]\n\n [[8.89450967e-01 1.44067206e-04 4.21145931e-04 1.09983787e-01]\n  [9.35311913e-01 5.88993498e-06 2.10819089e-05 6.46610260e-02]\n  [9.47178662e-01 2.98739428e-06 1.21391895e-05 5.28062880e-02]\n  [9.45233643e-01 3.44766863e-06 1.49035404e-05 5.47479913e-02]\n  [9.42396820e-01 3.36402968e-06 1.50885880e-05 5.75846955e-02]]]\nPredicted mask after argmax for 2008_000073: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000073 has shape: (351, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000073. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000073.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000073: (1, 256, 256, 4)\nSome predicted mask values: [[[9.17343676e-01 9.46137370e-05 1.55466376e-04 8.24061856e-02]\n  [9.41900015e-01 1.98163593e-06 3.32671516e-06 5.80945425e-02]\n  [9.48954105e-01 4.86889917e-07 1.24201335e-06 5.10442033e-02]\n  [9.46701467e-01 4.32264045e-07 1.38755081e-06 5.32967933e-02]\n  [9.46362078e-01 3.00111225e-07 1.10757253e-06 5.36365546e-02]]\n\n [[9.62416112e-01 6.30603438e-07 1.80247457e-06 3.75815406e-02]\n  [9.60169613e-01 3.71927089e-09 1.19537633e-08 3.98303866e-02]\n  [9.55399454e-01 9.85925674e-10 5.94993166e-09 4.46004793e-02]\n  [9.49963510e-01 1.34239908e-09 1.17251346e-08 5.00364825e-02]\n  [9.49939251e-01 8.53918380e-10 9.83910553e-09 5.00607044e-02]]\n\n [[9.79282022e-01 6.14837603e-08 2.48127179e-07 2.07176693e-02]\n  [9.75889564e-01 2.68278066e-10 1.41507583e-09 2.41104551e-02]\n  [9.68980312e-01 9.53296261e-11 1.26533373e-09 3.10196634e-02]\n  [9.59141254e-01 1.67988568e-10 3.34025430e-09 4.08587791e-02]\n  [9.60131586e-01 9.06090411e-11 2.41243869e-09 3.98684368e-02]]\n\n ...\n\n [[9.31624830e-01 2.99016233e-06 1.17438822e-05 6.83604255e-02]\n  [9.32786405e-01 2.16602292e-08 1.63472180e-07 6.72134683e-02]\n  [9.39212024e-01 4.35470549e-09 5.47461632e-08 6.07879609e-02]\n  [9.43387151e-01 4.01356814e-09 6.18666149e-08 5.66127039e-02]\n  [9.45473731e-01 3.24320393e-09 5.25359027e-08 5.45262434e-02]]\n\n [[9.21401799e-01 7.05845332e-06 2.59409917e-05 7.85651878e-02]\n  [9.29592371e-01 6.57415740e-08 4.04813022e-07 7.04071224e-02]\n  [9.41194654e-01 1.50278563e-08 1.45789031e-07 5.88052012e-02]\n  [9.39696968e-01 1.46593955e-08 1.62202298e-07 6.03029318e-02]\n  [9.39672410e-01 1.22328192e-08 1.55110328e-07 6.03274703e-02]]\n\n [[8.89450967e-01 1.44067206e-04 4.21145931e-04 1.09983787e-01]\n  [9.35311913e-01 5.88993498e-06 2.10819089e-05 6.46610260e-02]\n  [9.47178662e-01 2.98739428e-06 1.21391895e-05 5.28062880e-02]\n  [9.45233643e-01 3.44766863e-06 1.49035404e-05 5.47479913e-02]\n  [9.42396820e-01 3.36402968e-06 1.50885880e-05 5.75846955e-02]]]\nPredicted mask after argmax for 2008_000073: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000073 has shape: (351, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000073. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000076.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000076: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7906011e-01 3.4702231e-07 8.0467788e-07 2.0938668e-02]\n  [9.9111503e-01 3.9940976e-10 8.0869406e-10 8.8850008e-03]\n  [9.9441528e-01 1.6952623e-11 5.5805516e-11 5.5846875e-03]\n  [9.9525899e-01 4.7952666e-12 2.2534939e-11 4.7409791e-03]\n  [9.9619102e-01 1.2433242e-12 6.9807827e-12 3.8089133e-03]]\n\n [[9.9267149e-01 2.2713652e-10 1.1490521e-09 7.3285769e-03]\n  [9.9307197e-01 3.5423701e-14 1.9833041e-13 6.9280597e-03]\n  [9.9218917e-01 1.9704881e-15 2.2945791e-14 7.8108618e-03]\n  [9.9207473e-01 1.1032533e-15 2.2644599e-14 7.9252180e-03]\n  [9.9271059e-01 2.7192254e-16 8.2745649e-15 7.2894506e-03]]\n\n [[9.9725574e-01 6.9793988e-12 6.1301873e-11 2.7443266e-03]\n  [9.9705857e-01 8.1162395e-16 1.0780532e-14 2.9413716e-03]\n  [9.9592066e-01 7.4253138e-17 3.8612539e-15 4.0793642e-03]\n  [9.9416059e-01 8.5070060e-17 8.8648130e-15 5.8394019e-03]\n  [9.9433863e-01 2.3589418e-17 4.0640442e-15 5.6613437e-03]]\n\n ...\n\n [[9.4069624e-01 1.0316255e-06 4.5537681e-06 5.9298087e-02]\n  [9.4566923e-01 3.7922785e-09 3.7774452e-08 5.4330781e-02]\n  [9.5168763e-01 6.5292377e-10 1.0936027e-08 4.8312299e-02]\n  [9.5392716e-01 7.7746803e-10 1.5061691e-08 4.6072856e-02]\n  [9.5410269e-01 7.9430290e-10 1.5546483e-08 4.5897346e-02]]\n\n [[9.3602127e-01 1.8825702e-06 7.9676065e-06 6.3968815e-02]\n  [9.4689190e-01 8.7780858e-09 6.9612412e-08 5.3108048e-02]\n  [9.5477378e-01 1.8636162e-09 2.2633404e-08 4.5226268e-02]\n  [9.5330161e-01 2.2707420e-09 3.1641811e-08 4.6698406e-02]\n  [9.5241636e-01 2.2502360e-09 3.5061920e-08 4.7583625e-02]]\n\n [[9.0784031e-01 5.0545015e-05 1.6618082e-04 9.1942877e-02]\n  [9.5078951e-01 1.2041556e-06 4.9252758e-06 4.9204271e-02]\n  [9.6186322e-01 5.1954623e-07 2.4515393e-06 3.8133800e-02]\n  [9.5985383e-01 6.7810549e-07 3.3720537e-06 4.0142179e-02]\n  [9.5629913e-01 7.5806548e-07 3.8813864e-06 4.3696225e-02]]]\nPredicted mask after argmax for 2008_000076: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000076 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000076. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000076.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000076: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7906011e-01 3.4702231e-07 8.0467788e-07 2.0938668e-02]\n  [9.9111503e-01 3.9940976e-10 8.0869406e-10 8.8850008e-03]\n  [9.9441528e-01 1.6952623e-11 5.5805516e-11 5.5846875e-03]\n  [9.9525899e-01 4.7952666e-12 2.2534939e-11 4.7409791e-03]\n  [9.9619102e-01 1.2433242e-12 6.9807827e-12 3.8089133e-03]]\n\n [[9.9267149e-01 2.2713652e-10 1.1490521e-09 7.3285769e-03]\n  [9.9307197e-01 3.5423701e-14 1.9833041e-13 6.9280597e-03]\n  [9.9218917e-01 1.9704881e-15 2.2945791e-14 7.8108618e-03]\n  [9.9207473e-01 1.1032533e-15 2.2644599e-14 7.9252180e-03]\n  [9.9271059e-01 2.7192254e-16 8.2745649e-15 7.2894506e-03]]\n\n [[9.9725574e-01 6.9793988e-12 6.1301873e-11 2.7443266e-03]\n  [9.9705857e-01 8.1162395e-16 1.0780532e-14 2.9413716e-03]\n  [9.9592066e-01 7.4253138e-17 3.8612539e-15 4.0793642e-03]\n  [9.9416059e-01 8.5070060e-17 8.8648130e-15 5.8394019e-03]\n  [9.9433863e-01 2.3589418e-17 4.0640442e-15 5.6613437e-03]]\n\n ...\n\n [[9.4069624e-01 1.0316255e-06 4.5537681e-06 5.9298087e-02]\n  [9.4566923e-01 3.7922785e-09 3.7774452e-08 5.4330781e-02]\n  [9.5168763e-01 6.5292377e-10 1.0936027e-08 4.8312299e-02]\n  [9.5392716e-01 7.7746803e-10 1.5061691e-08 4.6072856e-02]\n  [9.5410269e-01 7.9430290e-10 1.5546483e-08 4.5897346e-02]]\n\n [[9.3602127e-01 1.8825702e-06 7.9676065e-06 6.3968815e-02]\n  [9.4689190e-01 8.7780858e-09 6.9612412e-08 5.3108048e-02]\n  [9.5477378e-01 1.8636162e-09 2.2633404e-08 4.5226268e-02]\n  [9.5330161e-01 2.2707420e-09 3.1641811e-08 4.6698406e-02]\n  [9.5241636e-01 2.2502360e-09 3.5061920e-08 4.7583625e-02]]\n\n [[9.0784031e-01 5.0545015e-05 1.6618082e-04 9.1942877e-02]\n  [9.5078951e-01 1.2041556e-06 4.9252758e-06 4.9204271e-02]\n  [9.6186322e-01 5.1954623e-07 2.4515393e-06 3.8133800e-02]\n  [9.5985383e-01 6.7810549e-07 3.3720537e-06 4.0142179e-02]\n  [9.5629913e-01 7.5806548e-07 3.8813864e-06 4.3696225e-02]]]\nPredicted mask after argmax for 2008_000076: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000076 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000076. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000078.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000078: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9254990e-01 5.4276037e-09 1.5590834e-08 7.4500786e-03]\n  [9.9752837e-01 9.8861988e-13 2.3430344e-12 2.4716826e-03]\n  [9.9855989e-01 2.0832718e-14 9.4198961e-14 1.4401411e-03]\n  [9.9879241e-01 4.6583394e-15 3.3501044e-14 1.2076120e-03]\n  [9.9910265e-01 7.3444178e-16 6.6666164e-15 8.9726661e-04]]\n\n [[9.9809092e-01 4.4819769e-13 3.4186900e-12 1.9091044e-03]\n  [9.9821115e-01 6.5646774e-18 5.4292059e-17 1.7888101e-03]\n  [9.9778324e-01 2.0456590e-19 4.4747679e-18 2.2167745e-03]\n  [9.9768245e-01 1.1244599e-19 5.1749354e-18 2.3174698e-03]\n  [9.9794549e-01 1.5535536e-20 1.2198367e-18 2.0545472e-03]]\n\n [[9.9946541e-01 5.1893952e-15 7.9699004e-14 5.3457206e-04]\n  [9.9941456e-01 5.3054715e-20 1.2881518e-18 5.8544730e-04]\n  [9.9903083e-01 2.8289391e-21 4.0527357e-19 9.6921629e-04]\n  [9.9844116e-01 3.2781141e-21 1.2239953e-18 1.5588411e-03]\n  [9.9856722e-01 4.3823351e-22 3.4234552e-19 1.4327870e-03]]\n\n ...\n\n [[9.4691646e-01 2.9166674e-07 1.6670137e-06 5.3081471e-02]\n  [9.6549690e-01 2.2338549e-10 3.4234708e-09 3.4503113e-02]\n  [9.7454983e-01 1.3831664e-11 4.0458534e-10 2.5450196e-02]\n  [9.7796315e-01 8.8038405e-12 3.0489536e-10 2.2036875e-02]\n  [9.7807091e-01 8.9261515e-12 3.0907996e-10 2.1929154e-02]]\n\n [[9.3277711e-01 1.4043952e-06 7.0595170e-06 6.7214489e-02]\n  [9.5596039e-01 2.6024813e-09 2.6309058e-08 4.4039648e-02]\n  [9.6707082e-01 2.5801117e-10 4.3231019e-09 3.2929227e-02]\n  [9.6932340e-01 1.6769705e-10 3.4120222e-09 3.0676572e-02]\n  [9.6933055e-01 1.5638207e-10 3.5432681e-09 3.0669494e-02]]\n\n [[8.9517957e-01 7.3062562e-05 2.5679078e-04 1.0449052e-01]\n  [9.4415921e-01 1.3991757e-06 6.2453837e-06 5.5833224e-02]\n  [9.6107614e-01 3.4789346e-07 1.9309830e-06 3.8921539e-02]\n  [9.6159089e-01 3.1434902e-07 1.9160921e-06 3.8406838e-02]\n  [9.6020752e-01 3.3049400e-07 2.0863238e-06 3.9790072e-02]]]\nPredicted mask after argmax for 2008_000078: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000078 has shape: (500, 457)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000078. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000078.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000078: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9254990e-01 5.4276037e-09 1.5590834e-08 7.4500786e-03]\n  [9.9752837e-01 9.8861988e-13 2.3430344e-12 2.4716826e-03]\n  [9.9855989e-01 2.0832718e-14 9.4198961e-14 1.4401411e-03]\n  [9.9879241e-01 4.6583394e-15 3.3501044e-14 1.2076120e-03]\n  [9.9910265e-01 7.3444178e-16 6.6666164e-15 8.9726661e-04]]\n\n [[9.9809092e-01 4.4819769e-13 3.4186900e-12 1.9091044e-03]\n  [9.9821115e-01 6.5646774e-18 5.4292059e-17 1.7888101e-03]\n  [9.9778324e-01 2.0456590e-19 4.4747679e-18 2.2167745e-03]\n  [9.9768245e-01 1.1244599e-19 5.1749354e-18 2.3174698e-03]\n  [9.9794549e-01 1.5535536e-20 1.2198367e-18 2.0545472e-03]]\n\n [[9.9946541e-01 5.1893952e-15 7.9699004e-14 5.3457206e-04]\n  [9.9941456e-01 5.3054715e-20 1.2881518e-18 5.8544730e-04]\n  [9.9903083e-01 2.8289391e-21 4.0527357e-19 9.6921629e-04]\n  [9.9844116e-01 3.2781141e-21 1.2239953e-18 1.5588411e-03]\n  [9.9856722e-01 4.3823351e-22 3.4234552e-19 1.4327870e-03]]\n\n ...\n\n [[9.4691646e-01 2.9166674e-07 1.6670137e-06 5.3081471e-02]\n  [9.6549690e-01 2.2338549e-10 3.4234708e-09 3.4503113e-02]\n  [9.7454983e-01 1.3831664e-11 4.0458534e-10 2.5450196e-02]\n  [9.7796315e-01 8.8038405e-12 3.0489536e-10 2.2036875e-02]\n  [9.7807091e-01 8.9261515e-12 3.0907996e-10 2.1929154e-02]]\n\n [[9.3277711e-01 1.4043952e-06 7.0595170e-06 6.7214489e-02]\n  [9.5596039e-01 2.6024813e-09 2.6309058e-08 4.4039648e-02]\n  [9.6707082e-01 2.5801117e-10 4.3231019e-09 3.2929227e-02]\n  [9.6932340e-01 1.6769705e-10 3.4120222e-09 3.0676572e-02]\n  [9.6933055e-01 1.5638207e-10 3.5432681e-09 3.0669494e-02]]\n\n [[8.9517957e-01 7.3062562e-05 2.5679078e-04 1.0449052e-01]\n  [9.4415921e-01 1.3991757e-06 6.2453837e-06 5.5833224e-02]\n  [9.6107614e-01 3.4789346e-07 1.9309830e-06 3.8921539e-02]\n  [9.6159089e-01 3.1434902e-07 1.9160921e-06 3.8406838e-02]\n  [9.6020752e-01 3.3049400e-07 2.0863238e-06 3.9790072e-02]]]\nPredicted mask after argmax for 2008_000078: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000078 has shape: (500, 457)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000078. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000078.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000078: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9254990e-01 5.4276037e-09 1.5590834e-08 7.4500786e-03]\n  [9.9752837e-01 9.8861988e-13 2.3430344e-12 2.4716826e-03]\n  [9.9855989e-01 2.0832718e-14 9.4198961e-14 1.4401411e-03]\n  [9.9879241e-01 4.6583394e-15 3.3501044e-14 1.2076120e-03]\n  [9.9910265e-01 7.3444178e-16 6.6666164e-15 8.9726661e-04]]\n\n [[9.9809092e-01 4.4819769e-13 3.4186900e-12 1.9091044e-03]\n  [9.9821115e-01 6.5646774e-18 5.4292059e-17 1.7888101e-03]\n  [9.9778324e-01 2.0456590e-19 4.4747679e-18 2.2167745e-03]\n  [9.9768245e-01 1.1244599e-19 5.1749354e-18 2.3174698e-03]\n  [9.9794549e-01 1.5535536e-20 1.2198367e-18 2.0545472e-03]]\n\n [[9.9946541e-01 5.1893952e-15 7.9699004e-14 5.3457206e-04]\n  [9.9941456e-01 5.3054715e-20 1.2881518e-18 5.8544730e-04]\n  [9.9903083e-01 2.8289391e-21 4.0527357e-19 9.6921629e-04]\n  [9.9844116e-01 3.2781141e-21 1.2239953e-18 1.5588411e-03]\n  [9.9856722e-01 4.3823351e-22 3.4234552e-19 1.4327870e-03]]\n\n ...\n\n [[9.4691646e-01 2.9166674e-07 1.6670137e-06 5.3081471e-02]\n  [9.6549690e-01 2.2338549e-10 3.4234708e-09 3.4503113e-02]\n  [9.7454983e-01 1.3831664e-11 4.0458534e-10 2.5450196e-02]\n  [9.7796315e-01 8.8038405e-12 3.0489536e-10 2.2036875e-02]\n  [9.7807091e-01 8.9261515e-12 3.0907996e-10 2.1929154e-02]]\n\n [[9.3277711e-01 1.4043952e-06 7.0595170e-06 6.7214489e-02]\n  [9.5596039e-01 2.6024813e-09 2.6309058e-08 4.4039648e-02]\n  [9.6707082e-01 2.5801117e-10 4.3231019e-09 3.2929227e-02]\n  [9.6932340e-01 1.6769705e-10 3.4120222e-09 3.0676572e-02]\n  [9.6933055e-01 1.5638207e-10 3.5432681e-09 3.0669494e-02]]\n\n [[8.9517957e-01 7.3062562e-05 2.5679078e-04 1.0449052e-01]\n  [9.4415921e-01 1.3991757e-06 6.2453837e-06 5.5833224e-02]\n  [9.6107614e-01 3.4789346e-07 1.9309830e-06 3.8921539e-02]\n  [9.6159089e-01 3.1434902e-07 1.9160921e-06 3.8406838e-02]\n  [9.6020752e-01 3.3049400e-07 2.0863238e-06 3.9790072e-02]]]\nPredicted mask after argmax for 2008_000078: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000078 has shape: (500, 457)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000078. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000080.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000080: (1, 256, 256, 4)\nSome predicted mask values: [[[9.42395449e-01 2.38941575e-05 4.15015747e-05 5.75391576e-02]\n  [9.60343301e-01 3.48966466e-07 5.68125074e-07 3.96558680e-02]\n  [9.63538527e-01 9.56044062e-08 2.54249954e-07 3.64610702e-02]\n  [9.58612204e-01 1.01381644e-07 3.64257744e-07 4.13873680e-02]\n  [9.56542730e-01 8.09637939e-08 3.47004487e-07 4.34568785e-02]]\n\n [[9.76980090e-01 7.92203494e-08 2.51171571e-07 2.30195113e-02]\n  [9.73200738e-01 2.93092356e-10 9.75024506e-10 2.67992485e-02]\n  [9.66245174e-01 1.04816794e-10 7.11699311e-10 3.37549001e-02]\n  [9.58910346e-01 1.97198702e-10 2.14343698e-09 4.10896204e-02]\n  [9.57667410e-01 1.43870249e-10 2.20065854e-09 4.23325747e-02]]\n\n [[9.88763452e-01 5.10589615e-09 2.35338486e-08 1.12365372e-02]\n  [9.85510588e-01 1.43252372e-11 8.18722520e-11 1.44893629e-02]\n  [9.78302419e-01 7.04767191e-12 1.19423985e-10 2.16975082e-02]\n  [9.67429817e-01 1.67801224e-11 4.64189936e-10 3.25701833e-02]\n  [9.67411816e-01 9.39733621e-12 3.77494785e-10 3.25881280e-02]]\n\n ...\n\n [[9.08154130e-01 1.38785317e-05 4.83206459e-05 9.17837024e-02]\n  [9.15435314e-01 1.77940720e-07 1.10265444e-06 8.45633298e-02]\n  [9.23850179e-01 4.98008426e-08 4.64815287e-07 7.61493444e-02]\n  [9.27114189e-01 5.42183614e-08 5.64389893e-07 7.28852525e-02]\n  [9.28799510e-01 4.98893762e-08 5.32480271e-07 7.11999163e-02]]\n\n [[8.93528700e-01 3.64892840e-05 1.17590753e-04 1.06317207e-01]\n  [9.06132638e-01 6.72794386e-07 3.38288896e-06 9.38633829e-02]\n  [9.20171082e-01 2.18194657e-07 1.54518739e-06 7.98272192e-02]\n  [9.18111622e-01 2.23601859e-07 1.75499838e-06 8.18863511e-02]\n  [9.20000613e-01 1.88749965e-07 1.64070548e-06 7.99975246e-02]]\n\n [[8.50893676e-01 5.88946976e-04 1.49046862e-03 1.47026867e-01]\n  [9.00118947e-01 4.52047825e-05 1.33375492e-04 9.97024700e-02]\n  [9.15397346e-01 2.60408196e-05 8.68753632e-05 8.44897032e-02]\n  [9.10935581e-01 2.86262130e-05 9.91749112e-05 8.89366493e-02]\n  [9.07897055e-01 2.71428598e-05 9.70633700e-05 9.19787735e-02]]]\nPredicted mask after argmax for 2008_000080: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000080 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000080. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000080.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000080: (1, 256, 256, 4)\nSome predicted mask values: [[[9.42395449e-01 2.38941575e-05 4.15015747e-05 5.75391576e-02]\n  [9.60343301e-01 3.48966466e-07 5.68125074e-07 3.96558680e-02]\n  [9.63538527e-01 9.56044062e-08 2.54249954e-07 3.64610702e-02]\n  [9.58612204e-01 1.01381644e-07 3.64257744e-07 4.13873680e-02]\n  [9.56542730e-01 8.09637939e-08 3.47004487e-07 4.34568785e-02]]\n\n [[9.76980090e-01 7.92203494e-08 2.51171571e-07 2.30195113e-02]\n  [9.73200738e-01 2.93092356e-10 9.75024506e-10 2.67992485e-02]\n  [9.66245174e-01 1.04816794e-10 7.11699311e-10 3.37549001e-02]\n  [9.58910346e-01 1.97198702e-10 2.14343698e-09 4.10896204e-02]\n  [9.57667410e-01 1.43870249e-10 2.20065854e-09 4.23325747e-02]]\n\n [[9.88763452e-01 5.10589615e-09 2.35338486e-08 1.12365372e-02]\n  [9.85510588e-01 1.43252372e-11 8.18722520e-11 1.44893629e-02]\n  [9.78302419e-01 7.04767191e-12 1.19423985e-10 2.16975082e-02]\n  [9.67429817e-01 1.67801224e-11 4.64189936e-10 3.25701833e-02]\n  [9.67411816e-01 9.39733621e-12 3.77494785e-10 3.25881280e-02]]\n\n ...\n\n [[9.08154130e-01 1.38785317e-05 4.83206459e-05 9.17837024e-02]\n  [9.15435314e-01 1.77940720e-07 1.10265444e-06 8.45633298e-02]\n  [9.23850179e-01 4.98008426e-08 4.64815287e-07 7.61493444e-02]\n  [9.27114189e-01 5.42183614e-08 5.64389893e-07 7.28852525e-02]\n  [9.28799510e-01 4.98893762e-08 5.32480271e-07 7.11999163e-02]]\n\n [[8.93528700e-01 3.64892840e-05 1.17590753e-04 1.06317207e-01]\n  [9.06132638e-01 6.72794386e-07 3.38288896e-06 9.38633829e-02]\n  [9.20171082e-01 2.18194657e-07 1.54518739e-06 7.98272192e-02]\n  [9.18111622e-01 2.23601859e-07 1.75499838e-06 8.18863511e-02]\n  [9.20000613e-01 1.88749965e-07 1.64070548e-06 7.99975246e-02]]\n\n [[8.50893676e-01 5.88946976e-04 1.49046862e-03 1.47026867e-01]\n  [9.00118947e-01 4.52047825e-05 1.33375492e-04 9.97024700e-02]\n  [9.15397346e-01 2.60408196e-05 8.68753632e-05 8.44897032e-02]\n  [9.10935581e-01 2.86262130e-05 9.91749112e-05 8.89366493e-02]\n  [9.07897055e-01 2.71428598e-05 9.70633700e-05 9.19787735e-02]]]\nPredicted mask after argmax for 2008_000080: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000080 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000080. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000080.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000080: (1, 256, 256, 4)\nSome predicted mask values: [[[9.42395449e-01 2.38941575e-05 4.15015747e-05 5.75391576e-02]\n  [9.60343301e-01 3.48966466e-07 5.68125074e-07 3.96558680e-02]\n  [9.63538527e-01 9.56044062e-08 2.54249954e-07 3.64610702e-02]\n  [9.58612204e-01 1.01381644e-07 3.64257744e-07 4.13873680e-02]\n  [9.56542730e-01 8.09637939e-08 3.47004487e-07 4.34568785e-02]]\n\n [[9.76980090e-01 7.92203494e-08 2.51171571e-07 2.30195113e-02]\n  [9.73200738e-01 2.93092356e-10 9.75024506e-10 2.67992485e-02]\n  [9.66245174e-01 1.04816794e-10 7.11699311e-10 3.37549001e-02]\n  [9.58910346e-01 1.97198702e-10 2.14343698e-09 4.10896204e-02]\n  [9.57667410e-01 1.43870249e-10 2.20065854e-09 4.23325747e-02]]\n\n [[9.88763452e-01 5.10589615e-09 2.35338486e-08 1.12365372e-02]\n  [9.85510588e-01 1.43252372e-11 8.18722520e-11 1.44893629e-02]\n  [9.78302419e-01 7.04767191e-12 1.19423985e-10 2.16975082e-02]\n  [9.67429817e-01 1.67801224e-11 4.64189936e-10 3.25701833e-02]\n  [9.67411816e-01 9.39733621e-12 3.77494785e-10 3.25881280e-02]]\n\n ...\n\n [[9.08154130e-01 1.38785317e-05 4.83206459e-05 9.17837024e-02]\n  [9.15435314e-01 1.77940720e-07 1.10265444e-06 8.45633298e-02]\n  [9.23850179e-01 4.98008426e-08 4.64815287e-07 7.61493444e-02]\n  [9.27114189e-01 5.42183614e-08 5.64389893e-07 7.28852525e-02]\n  [9.28799510e-01 4.98893762e-08 5.32480271e-07 7.11999163e-02]]\n\n [[8.93528700e-01 3.64892840e-05 1.17590753e-04 1.06317207e-01]\n  [9.06132638e-01 6.72794386e-07 3.38288896e-06 9.38633829e-02]\n  [9.20171082e-01 2.18194657e-07 1.54518739e-06 7.98272192e-02]\n  [9.18111622e-01 2.23601859e-07 1.75499838e-06 8.18863511e-02]\n  [9.20000613e-01 1.88749965e-07 1.64070548e-06 7.99975246e-02]]\n\n [[8.50893676e-01 5.88946976e-04 1.49046862e-03 1.47026867e-01]\n  [9.00118947e-01 4.52047825e-05 1.33375492e-04 9.97024700e-02]\n  [9.15397346e-01 2.60408196e-05 8.68753632e-05 8.44897032e-02]\n  [9.10935581e-01 2.86262130e-05 9.91749112e-05 8.89366493e-02]\n  [9.07897055e-01 2.71428598e-05 9.70633700e-05 9.19787735e-02]]]\nPredicted mask after argmax for 2008_000080: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000080 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000080. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000080.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000080: (1, 256, 256, 4)\nSome predicted mask values: [[[9.42395449e-01 2.38941575e-05 4.15015747e-05 5.75391576e-02]\n  [9.60343301e-01 3.48966466e-07 5.68125074e-07 3.96558680e-02]\n  [9.63538527e-01 9.56044062e-08 2.54249954e-07 3.64610702e-02]\n  [9.58612204e-01 1.01381644e-07 3.64257744e-07 4.13873680e-02]\n  [9.56542730e-01 8.09637939e-08 3.47004487e-07 4.34568785e-02]]\n\n [[9.76980090e-01 7.92203494e-08 2.51171571e-07 2.30195113e-02]\n  [9.73200738e-01 2.93092356e-10 9.75024506e-10 2.67992485e-02]\n  [9.66245174e-01 1.04816794e-10 7.11699311e-10 3.37549001e-02]\n  [9.58910346e-01 1.97198702e-10 2.14343698e-09 4.10896204e-02]\n  [9.57667410e-01 1.43870249e-10 2.20065854e-09 4.23325747e-02]]\n\n [[9.88763452e-01 5.10589615e-09 2.35338486e-08 1.12365372e-02]\n  [9.85510588e-01 1.43252372e-11 8.18722520e-11 1.44893629e-02]\n  [9.78302419e-01 7.04767191e-12 1.19423985e-10 2.16975082e-02]\n  [9.67429817e-01 1.67801224e-11 4.64189936e-10 3.25701833e-02]\n  [9.67411816e-01 9.39733621e-12 3.77494785e-10 3.25881280e-02]]\n\n ...\n\n [[9.08154130e-01 1.38785317e-05 4.83206459e-05 9.17837024e-02]\n  [9.15435314e-01 1.77940720e-07 1.10265444e-06 8.45633298e-02]\n  [9.23850179e-01 4.98008426e-08 4.64815287e-07 7.61493444e-02]\n  [9.27114189e-01 5.42183614e-08 5.64389893e-07 7.28852525e-02]\n  [9.28799510e-01 4.98893762e-08 5.32480271e-07 7.11999163e-02]]\n\n [[8.93528700e-01 3.64892840e-05 1.17590753e-04 1.06317207e-01]\n  [9.06132638e-01 6.72794386e-07 3.38288896e-06 9.38633829e-02]\n  [9.20171082e-01 2.18194657e-07 1.54518739e-06 7.98272192e-02]\n  [9.18111622e-01 2.23601859e-07 1.75499838e-06 8.18863511e-02]\n  [9.20000613e-01 1.88749965e-07 1.64070548e-06 7.99975246e-02]]\n\n [[8.50893676e-01 5.88946976e-04 1.49046862e-03 1.47026867e-01]\n  [9.00118947e-01 4.52047825e-05 1.33375492e-04 9.97024700e-02]\n  [9.15397346e-01 2.60408196e-05 8.68753632e-05 8.44897032e-02]\n  [9.10935581e-01 2.86262130e-05 9.91749112e-05 8.89366493e-02]\n  [9.07897055e-01 2.71428598e-05 9.70633700e-05 9.19787735e-02]]]\nPredicted mask after argmax for 2008_000080: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000080 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000080. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000084: (1, 256, 256, 4)\nSome predicted mask values: [[[9.45866704e-01 1.11713216e-05 2.12444756e-05 5.41009791e-02]\n  [9.68620956e-01 5.84171929e-08 1.34358970e-07 3.13788652e-02]\n  [9.74967539e-01 8.87702534e-09 3.09284793e-08 2.50324626e-02]\n  [9.74678695e-01 9.95218752e-09 3.99588025e-08 2.53213905e-02]\n  [9.72434700e-01 1.23299415e-08 5.26072235e-08 2.75652241e-02]]\n\n [[9.76512194e-01 3.23713749e-08 1.22648771e-07 2.34876797e-02]\n  [9.77431774e-01 4.06854897e-11 1.99118402e-10 2.25682110e-02]\n  [9.76468921e-01 6.35519328e-12 5.95908531e-11 2.35311389e-02]\n  [9.73242044e-01 1.33602625e-11 1.62910088e-10 2.67579295e-02]\n  [9.69506562e-01 2.01462597e-11 2.88987390e-10 3.04934010e-02]]\n\n [[9.87335742e-01 3.40859518e-09 1.98703418e-08 1.26641858e-02]\n  [9.86316264e-01 3.26190724e-12 2.98140436e-11 1.36837624e-02]\n  [9.83683050e-01 7.01888905e-13 1.60683359e-11 1.63170006e-02]\n  [9.78709579e-01 1.90373889e-12 6.02749725e-11 2.12903861e-02]\n  [9.75621462e-01 2.67823285e-12 9.91140919e-11 2.43785065e-02]]\n\n ...\n\n [[9.34581816e-01 3.54111853e-06 1.38589376e-05 6.54008240e-02]\n  [9.29778516e-01 4.15160279e-08 2.65208286e-07 7.02212229e-02]\n  [9.35347497e-01 1.26957440e-08 1.39425424e-07 6.46523237e-02]\n  [9.34408605e-01 1.73126402e-08 2.19712518e-07 6.55912682e-02]\n  [9.34418678e-01 1.88431812e-08 2.41346186e-07 6.55810833e-02]]\n\n [[9.17301476e-01 1.36894632e-05 4.71776657e-05 8.26377720e-02]\n  [9.18819129e-01 2.27697285e-07 1.14243130e-06 8.11796039e-02]\n  [9.33069348e-01 7.42143555e-08 5.87283523e-07 6.69299811e-02]\n  [9.28629339e-01 8.75500490e-08 7.75862418e-07 7.13697225e-02]\n  [9.25167561e-01 9.09937086e-08 8.93212984e-07 7.48314485e-02]]\n\n [[8.76454115e-01 2.92555895e-04 8.02955532e-04 1.22450434e-01]\n  [9.20125127e-01 1.82098320e-05 5.91850439e-05 7.97973648e-02]\n  [9.32560384e-01 1.10481860e-05 4.01856087e-05 6.73884526e-02]\n  [9.27721322e-01 1.33336198e-05 5.08903249e-05 7.22144991e-02]\n  [9.19886708e-01 1.49969846e-05 5.91342250e-05 8.00391361e-02]]]\nPredicted mask after argmax for 2008_000084: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000084 has shape: (370, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000084. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000084: (1, 256, 256, 4)\nSome predicted mask values: [[[9.45866704e-01 1.11713216e-05 2.12444756e-05 5.41009791e-02]\n  [9.68620956e-01 5.84171929e-08 1.34358970e-07 3.13788652e-02]\n  [9.74967539e-01 8.87702534e-09 3.09284793e-08 2.50324626e-02]\n  [9.74678695e-01 9.95218752e-09 3.99588025e-08 2.53213905e-02]\n  [9.72434700e-01 1.23299415e-08 5.26072235e-08 2.75652241e-02]]\n\n [[9.76512194e-01 3.23713749e-08 1.22648771e-07 2.34876797e-02]\n  [9.77431774e-01 4.06854897e-11 1.99118402e-10 2.25682110e-02]\n  [9.76468921e-01 6.35519328e-12 5.95908531e-11 2.35311389e-02]\n  [9.73242044e-01 1.33602625e-11 1.62910088e-10 2.67579295e-02]\n  [9.69506562e-01 2.01462597e-11 2.88987390e-10 3.04934010e-02]]\n\n [[9.87335742e-01 3.40859518e-09 1.98703418e-08 1.26641858e-02]\n  [9.86316264e-01 3.26190724e-12 2.98140436e-11 1.36837624e-02]\n  [9.83683050e-01 7.01888905e-13 1.60683359e-11 1.63170006e-02]\n  [9.78709579e-01 1.90373889e-12 6.02749725e-11 2.12903861e-02]\n  [9.75621462e-01 2.67823285e-12 9.91140919e-11 2.43785065e-02]]\n\n ...\n\n [[9.34581816e-01 3.54111853e-06 1.38589376e-05 6.54008240e-02]\n  [9.29778516e-01 4.15160279e-08 2.65208286e-07 7.02212229e-02]\n  [9.35347497e-01 1.26957440e-08 1.39425424e-07 6.46523237e-02]\n  [9.34408605e-01 1.73126402e-08 2.19712518e-07 6.55912682e-02]\n  [9.34418678e-01 1.88431812e-08 2.41346186e-07 6.55810833e-02]]\n\n [[9.17301476e-01 1.36894632e-05 4.71776657e-05 8.26377720e-02]\n  [9.18819129e-01 2.27697285e-07 1.14243130e-06 8.11796039e-02]\n  [9.33069348e-01 7.42143555e-08 5.87283523e-07 6.69299811e-02]\n  [9.28629339e-01 8.75500490e-08 7.75862418e-07 7.13697225e-02]\n  [9.25167561e-01 9.09937086e-08 8.93212984e-07 7.48314485e-02]]\n\n [[8.76454115e-01 2.92555895e-04 8.02955532e-04 1.22450434e-01]\n  [9.20125127e-01 1.82098320e-05 5.91850439e-05 7.97973648e-02]\n  [9.32560384e-01 1.10481860e-05 4.01856087e-05 6.73884526e-02]\n  [9.27721322e-01 1.33336198e-05 5.08903249e-05 7.22144991e-02]\n  [9.19886708e-01 1.49969846e-05 5.91342250e-05 8.00391361e-02]]]\nPredicted mask after argmax for 2008_000084: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000084 has shape: (370, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000084. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000096.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000096: (1, 256, 256, 4)\nSome predicted mask values: [[[9.76994097e-01 5.66131860e-07 1.23274026e-06 2.30040308e-02]\n  [9.89127457e-01 1.03593378e-09 1.94045402e-09 1.08725391e-02]\n  [9.92534995e-01 6.21633162e-11 1.97920083e-10 7.46496627e-03]\n  [9.93218601e-01 2.22701076e-11 1.02770112e-10 6.78140298e-03]\n  [9.94310141e-01 6.22103627e-12 3.51287367e-11 5.68985753e-03]]\n\n [[9.92171407e-01 4.08485856e-10 1.91260496e-09 7.82861933e-03]\n  [9.91898775e-01 1.17085879e-13 5.76569771e-13 8.10117088e-03]\n  [9.90177214e-01 1.00236193e-14 1.07007244e-13 9.82284080e-03]\n  [9.89495814e-01 7.38885390e-15 1.42397894e-13 1.05042364e-02]\n  [9.90206003e-01 1.86415202e-15 5.46702406e-14 9.79406852e-03]]\n\n [[9.97015119e-01 1.20292595e-11 9.61887098e-11 2.98487721e-03]\n  [9.96418476e-01 2.60090127e-15 2.91729294e-14 3.58155859e-03]\n  [9.94588375e-01 3.71603730e-16 1.65563618e-14 5.41165937e-03]\n  [9.91948307e-01 5.22576500e-16 4.75594905e-14 8.05176422e-03]\n  [9.92241502e-01 1.34646395e-16 2.06118946e-14 7.75854290e-03]]\n\n ...\n\n [[9.26015735e-01 2.50110065e-06 1.09736848e-05 7.39707947e-02]\n  [9.47149038e-01 6.80504542e-09 6.75161544e-08 5.28508872e-02]\n  [9.57068324e-01 8.14903145e-10 1.36626674e-08 4.29317169e-02]\n  [9.61378515e-01 6.36285746e-10 1.20045485e-08 3.86215188e-02]\n  [9.62497115e-01 5.51226509e-10 1.07527791e-08 3.75028513e-02]]\n\n [[9.09922361e-01 9.09493247e-06 3.60164304e-05 9.00325030e-02]\n  [9.35551763e-01 4.96178494e-08 3.59712033e-07 6.44479394e-02]\n  [9.47332561e-01 8.63788951e-09 9.49972758e-08 5.26672937e-02]\n  [9.49597001e-01 6.64478694e-09 8.52791473e-08 5.04029281e-02]\n  [9.51062918e-01 5.61773250e-09 7.86465861e-08 4.89369817e-02]]\n\n [[8.66779864e-01 2.62768008e-04 7.69063598e-04 1.32188261e-01]\n  [9.19442594e-01 1.05216877e-05 3.72477734e-05 8.05096105e-02]\n  [9.37383473e-01 3.94676817e-06 1.69342475e-05 6.25956953e-02]\n  [9.35913742e-01 3.92589845e-06 1.78601476e-05 6.40645027e-02]\n  [9.34337199e-01 3.77276137e-06 1.79504805e-05 6.56411201e-02]]]\nPredicted mask after argmax for 2008_000096: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000096 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000096. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000096.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\nPredicted mask shape for 2008_000096: (1, 256, 256, 4)\nSome predicted mask values: [[[9.76994097e-01 5.66131860e-07 1.23274026e-06 2.30040308e-02]\n  [9.89127457e-01 1.03593378e-09 1.94045402e-09 1.08725391e-02]\n  [9.92534995e-01 6.21633162e-11 1.97920083e-10 7.46496627e-03]\n  [9.93218601e-01 2.22701076e-11 1.02770112e-10 6.78140298e-03]\n  [9.94310141e-01 6.22103627e-12 3.51287367e-11 5.68985753e-03]]\n\n [[9.92171407e-01 4.08485856e-10 1.91260496e-09 7.82861933e-03]\n  [9.91898775e-01 1.17085879e-13 5.76569771e-13 8.10117088e-03]\n  [9.90177214e-01 1.00236193e-14 1.07007244e-13 9.82284080e-03]\n  [9.89495814e-01 7.38885390e-15 1.42397894e-13 1.05042364e-02]\n  [9.90206003e-01 1.86415202e-15 5.46702406e-14 9.79406852e-03]]\n\n [[9.97015119e-01 1.20292595e-11 9.61887098e-11 2.98487721e-03]\n  [9.96418476e-01 2.60090127e-15 2.91729294e-14 3.58155859e-03]\n  [9.94588375e-01 3.71603730e-16 1.65563618e-14 5.41165937e-03]\n  [9.91948307e-01 5.22576500e-16 4.75594905e-14 8.05176422e-03]\n  [9.92241502e-01 1.34646395e-16 2.06118946e-14 7.75854290e-03]]\n\n ...\n\n [[9.26015735e-01 2.50110065e-06 1.09736848e-05 7.39707947e-02]\n  [9.47149038e-01 6.80504542e-09 6.75161544e-08 5.28508872e-02]\n  [9.57068324e-01 8.14903145e-10 1.36626674e-08 4.29317169e-02]\n  [9.61378515e-01 6.36285746e-10 1.20045485e-08 3.86215188e-02]\n  [9.62497115e-01 5.51226509e-10 1.07527791e-08 3.75028513e-02]]\n\n [[9.09922361e-01 9.09493247e-06 3.60164304e-05 9.00325030e-02]\n  [9.35551763e-01 4.96178494e-08 3.59712033e-07 6.44479394e-02]\n  [9.47332561e-01 8.63788951e-09 9.49972758e-08 5.26672937e-02]\n  [9.49597001e-01 6.64478694e-09 8.52791473e-08 5.04029281e-02]\n  [9.51062918e-01 5.61773250e-09 7.86465861e-08 4.89369817e-02]]\n\n [[8.66779864e-01 2.62768008e-04 7.69063598e-04 1.32188261e-01]\n  [9.19442594e-01 1.05216877e-05 3.72477734e-05 8.05096105e-02]\n  [9.37383473e-01 3.94676817e-06 1.69342475e-05 6.25956953e-02]\n  [9.35913742e-01 3.92589845e-06 1.78601476e-05 6.40645027e-02]\n  [9.34337199e-01 3.77276137e-06 1.79504805e-05 6.56411201e-02]]]\nPredicted mask after argmax for 2008_000096: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000096 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000096. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000096.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000096: (1, 256, 256, 4)\nSome predicted mask values: [[[9.76994097e-01 5.66131860e-07 1.23274026e-06 2.30040308e-02]\n  [9.89127457e-01 1.03593378e-09 1.94045402e-09 1.08725391e-02]\n  [9.92534995e-01 6.21633162e-11 1.97920083e-10 7.46496627e-03]\n  [9.93218601e-01 2.22701076e-11 1.02770112e-10 6.78140298e-03]\n  [9.94310141e-01 6.22103627e-12 3.51287367e-11 5.68985753e-03]]\n\n [[9.92171407e-01 4.08485856e-10 1.91260496e-09 7.82861933e-03]\n  [9.91898775e-01 1.17085879e-13 5.76569771e-13 8.10117088e-03]\n  [9.90177214e-01 1.00236193e-14 1.07007244e-13 9.82284080e-03]\n  [9.89495814e-01 7.38885390e-15 1.42397894e-13 1.05042364e-02]\n  [9.90206003e-01 1.86415202e-15 5.46702406e-14 9.79406852e-03]]\n\n [[9.97015119e-01 1.20292595e-11 9.61887098e-11 2.98487721e-03]\n  [9.96418476e-01 2.60090127e-15 2.91729294e-14 3.58155859e-03]\n  [9.94588375e-01 3.71603730e-16 1.65563618e-14 5.41165937e-03]\n  [9.91948307e-01 5.22576500e-16 4.75594905e-14 8.05176422e-03]\n  [9.92241502e-01 1.34646395e-16 2.06118946e-14 7.75854290e-03]]\n\n ...\n\n [[9.26015735e-01 2.50110065e-06 1.09736848e-05 7.39707947e-02]\n  [9.47149038e-01 6.80504542e-09 6.75161544e-08 5.28508872e-02]\n  [9.57068324e-01 8.14903145e-10 1.36626674e-08 4.29317169e-02]\n  [9.61378515e-01 6.36285746e-10 1.20045485e-08 3.86215188e-02]\n  [9.62497115e-01 5.51226509e-10 1.07527791e-08 3.75028513e-02]]\n\n [[9.09922361e-01 9.09493247e-06 3.60164304e-05 9.00325030e-02]\n  [9.35551763e-01 4.96178494e-08 3.59712033e-07 6.44479394e-02]\n  [9.47332561e-01 8.63788951e-09 9.49972758e-08 5.26672937e-02]\n  [9.49597001e-01 6.64478694e-09 8.52791473e-08 5.04029281e-02]\n  [9.51062918e-01 5.61773250e-09 7.86465861e-08 4.89369817e-02]]\n\n [[8.66779864e-01 2.62768008e-04 7.69063598e-04 1.32188261e-01]\n  [9.19442594e-01 1.05216877e-05 3.72477734e-05 8.05096105e-02]\n  [9.37383473e-01 3.94676817e-06 1.69342475e-05 6.25956953e-02]\n  [9.35913742e-01 3.92589845e-06 1.78601476e-05 6.40645027e-02]\n  [9.34337199e-01 3.77276137e-06 1.79504805e-05 6.56411201e-02]]]\nPredicted mask after argmax for 2008_000096: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000096 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000096. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000099.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000099: (1, 256, 256, 4)\nSome predicted mask values: [[[9.74676847e-01 5.47865682e-07 1.23275902e-06 2.53213067e-02]\n  [9.87111151e-01 9.72214531e-10 2.24746621e-09 1.28888637e-02]\n  [9.90291059e-01 8.49346773e-11 3.46937035e-10 9.70891677e-03]\n  [9.90288734e-01 5.83692053e-11 3.22178978e-10 9.71125532e-03]\n  [9.91102099e-01 2.49017213e-11 1.70651493e-10 8.89789686e-03]]\n\n [[9.91776586e-01 3.03474273e-10 1.53901336e-09 8.22336320e-03]\n  [9.91622210e-01 8.14695059e-14 5.08423110e-13 8.37779045e-03]\n  [9.90517795e-01 7.90110809e-15 1.16914386e-13 9.48217511e-03]\n  [9.89290297e-01 1.03288748e-14 2.52526597e-13 1.07096694e-02]\n  [9.89664853e-01 4.04486439e-15 1.48454274e-13 1.03351837e-02]]\n\n [[9.96661842e-01 1.17595300e-11 1.02539345e-10 3.33815371e-03]\n  [9.96128321e-01 2.05475793e-15 2.84586977e-14 3.87163740e-03]\n  [9.94479775e-01 2.95723369e-16 1.54367519e-14 5.52020501e-03]\n  [9.92065847e-01 5.96273290e-16 5.88383644e-14 7.93423317e-03]\n  [9.92430031e-01 2.01118166e-16 3.09730337e-14 7.57002318e-03]]\n\n ...\n\n [[9.40817356e-01 1.19810181e-06 5.18463548e-06 5.91762066e-02]\n  [9.42930520e-01 5.43942935e-09 5.02326962e-08 5.70694171e-02]\n  [9.48526919e-01 1.02935038e-09 1.61118567e-08 5.14730550e-02]\n  [9.50637162e-01 1.25562771e-09 2.30157848e-08 4.93627675e-02]\n  [9.50701296e-01 1.29617617e-09 2.39985578e-08 4.92986664e-02]]\n\n [[9.35140729e-01 2.37424047e-06 9.70620385e-06 6.48471862e-02]\n  [9.43718612e-01 1.37438612e-08 1.00274960e-07 5.62813319e-02]\n  [9.52683866e-01 3.19850657e-09 3.61964503e-08 4.73161303e-02]\n  [9.49657202e-01 4.09313516e-09 5.23759915e-08 5.03427833e-02]\n  [9.48463202e-01 4.14438128e-09 5.93544556e-08 5.15366159e-02]]\n\n [[9.06248331e-01 6.04262277e-05 1.93076645e-04 9.34982076e-02]\n  [9.49198127e-01 1.61178320e-06 6.41183306e-06 5.07937595e-02]\n  [9.59971070e-01 7.62244440e-07 3.42835210e-06 4.00247574e-02]\n  [9.57849979e-01 1.00492332e-06 4.75249090e-06 4.21441831e-02]\n  [9.53936696e-01 1.13689703e-06 5.53132486e-06 4.60566804e-02]]]\nPredicted mask after argmax for 2008_000099: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000099 has shape: (357, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000099. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000099.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000099: (1, 256, 256, 4)\nSome predicted mask values: [[[9.74676847e-01 5.47865682e-07 1.23275902e-06 2.53213067e-02]\n  [9.87111151e-01 9.72214531e-10 2.24746621e-09 1.28888637e-02]\n  [9.90291059e-01 8.49346773e-11 3.46937035e-10 9.70891677e-03]\n  [9.90288734e-01 5.83692053e-11 3.22178978e-10 9.71125532e-03]\n  [9.91102099e-01 2.49017213e-11 1.70651493e-10 8.89789686e-03]]\n\n [[9.91776586e-01 3.03474273e-10 1.53901336e-09 8.22336320e-03]\n  [9.91622210e-01 8.14695059e-14 5.08423110e-13 8.37779045e-03]\n  [9.90517795e-01 7.90110809e-15 1.16914386e-13 9.48217511e-03]\n  [9.89290297e-01 1.03288748e-14 2.52526597e-13 1.07096694e-02]\n  [9.89664853e-01 4.04486439e-15 1.48454274e-13 1.03351837e-02]]\n\n [[9.96661842e-01 1.17595300e-11 1.02539345e-10 3.33815371e-03]\n  [9.96128321e-01 2.05475793e-15 2.84586977e-14 3.87163740e-03]\n  [9.94479775e-01 2.95723369e-16 1.54367519e-14 5.52020501e-03]\n  [9.92065847e-01 5.96273290e-16 5.88383644e-14 7.93423317e-03]\n  [9.92430031e-01 2.01118166e-16 3.09730337e-14 7.57002318e-03]]\n\n ...\n\n [[9.40817356e-01 1.19810181e-06 5.18463548e-06 5.91762066e-02]\n  [9.42930520e-01 5.43942935e-09 5.02326962e-08 5.70694171e-02]\n  [9.48526919e-01 1.02935038e-09 1.61118567e-08 5.14730550e-02]\n  [9.50637162e-01 1.25562771e-09 2.30157848e-08 4.93627675e-02]\n  [9.50701296e-01 1.29617617e-09 2.39985578e-08 4.92986664e-02]]\n\n [[9.35140729e-01 2.37424047e-06 9.70620385e-06 6.48471862e-02]\n  [9.43718612e-01 1.37438612e-08 1.00274960e-07 5.62813319e-02]\n  [9.52683866e-01 3.19850657e-09 3.61964503e-08 4.73161303e-02]\n  [9.49657202e-01 4.09313516e-09 5.23759915e-08 5.03427833e-02]\n  [9.48463202e-01 4.14438128e-09 5.93544556e-08 5.15366159e-02]]\n\n [[9.06248331e-01 6.04262277e-05 1.93076645e-04 9.34982076e-02]\n  [9.49198127e-01 1.61178320e-06 6.41183306e-06 5.07937595e-02]\n  [9.59971070e-01 7.62244440e-07 3.42835210e-06 4.00247574e-02]\n  [9.57849979e-01 1.00492332e-06 4.75249090e-06 4.21441831e-02]\n  [9.53936696e-01 1.13689703e-06 5.53132486e-06 4.60566804e-02]]]\nPredicted mask after argmax for 2008_000099: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000099 has shape: (357, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000099. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000099.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000099: (1, 256, 256, 4)\nSome predicted mask values: [[[9.74676847e-01 5.47865682e-07 1.23275902e-06 2.53213067e-02]\n  [9.87111151e-01 9.72214531e-10 2.24746621e-09 1.28888637e-02]\n  [9.90291059e-01 8.49346773e-11 3.46937035e-10 9.70891677e-03]\n  [9.90288734e-01 5.83692053e-11 3.22178978e-10 9.71125532e-03]\n  [9.91102099e-01 2.49017213e-11 1.70651493e-10 8.89789686e-03]]\n\n [[9.91776586e-01 3.03474273e-10 1.53901336e-09 8.22336320e-03]\n  [9.91622210e-01 8.14695059e-14 5.08423110e-13 8.37779045e-03]\n  [9.90517795e-01 7.90110809e-15 1.16914386e-13 9.48217511e-03]\n  [9.89290297e-01 1.03288748e-14 2.52526597e-13 1.07096694e-02]\n  [9.89664853e-01 4.04486439e-15 1.48454274e-13 1.03351837e-02]]\n\n [[9.96661842e-01 1.17595300e-11 1.02539345e-10 3.33815371e-03]\n  [9.96128321e-01 2.05475793e-15 2.84586977e-14 3.87163740e-03]\n  [9.94479775e-01 2.95723369e-16 1.54367519e-14 5.52020501e-03]\n  [9.92065847e-01 5.96273290e-16 5.88383644e-14 7.93423317e-03]\n  [9.92430031e-01 2.01118166e-16 3.09730337e-14 7.57002318e-03]]\n\n ...\n\n [[9.40817356e-01 1.19810181e-06 5.18463548e-06 5.91762066e-02]\n  [9.42930520e-01 5.43942935e-09 5.02326962e-08 5.70694171e-02]\n  [9.48526919e-01 1.02935038e-09 1.61118567e-08 5.14730550e-02]\n  [9.50637162e-01 1.25562771e-09 2.30157848e-08 4.93627675e-02]\n  [9.50701296e-01 1.29617617e-09 2.39985578e-08 4.92986664e-02]]\n\n [[9.35140729e-01 2.37424047e-06 9.70620385e-06 6.48471862e-02]\n  [9.43718612e-01 1.37438612e-08 1.00274960e-07 5.62813319e-02]\n  [9.52683866e-01 3.19850657e-09 3.61964503e-08 4.73161303e-02]\n  [9.49657202e-01 4.09313516e-09 5.23759915e-08 5.03427833e-02]\n  [9.48463202e-01 4.14438128e-09 5.93544556e-08 5.15366159e-02]]\n\n [[9.06248331e-01 6.04262277e-05 1.93076645e-04 9.34982076e-02]\n  [9.49198127e-01 1.61178320e-06 6.41183306e-06 5.07937595e-02]\n  [9.59971070e-01 7.62244440e-07 3.42835210e-06 4.00247574e-02]\n  [9.57849979e-01 1.00492332e-06 4.75249090e-06 4.21441831e-02]\n  [9.53936696e-01 1.13689703e-06 5.53132486e-06 4.60566804e-02]]]\nPredicted mask after argmax for 2008_000099: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000099 has shape: (357, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000099. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000099.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000099: (1, 256, 256, 4)\nSome predicted mask values: [[[9.74676847e-01 5.47865682e-07 1.23275902e-06 2.53213067e-02]\n  [9.87111151e-01 9.72214531e-10 2.24746621e-09 1.28888637e-02]\n  [9.90291059e-01 8.49346773e-11 3.46937035e-10 9.70891677e-03]\n  [9.90288734e-01 5.83692053e-11 3.22178978e-10 9.71125532e-03]\n  [9.91102099e-01 2.49017213e-11 1.70651493e-10 8.89789686e-03]]\n\n [[9.91776586e-01 3.03474273e-10 1.53901336e-09 8.22336320e-03]\n  [9.91622210e-01 8.14695059e-14 5.08423110e-13 8.37779045e-03]\n  [9.90517795e-01 7.90110809e-15 1.16914386e-13 9.48217511e-03]\n  [9.89290297e-01 1.03288748e-14 2.52526597e-13 1.07096694e-02]\n  [9.89664853e-01 4.04486439e-15 1.48454274e-13 1.03351837e-02]]\n\n [[9.96661842e-01 1.17595300e-11 1.02539345e-10 3.33815371e-03]\n  [9.96128321e-01 2.05475793e-15 2.84586977e-14 3.87163740e-03]\n  [9.94479775e-01 2.95723369e-16 1.54367519e-14 5.52020501e-03]\n  [9.92065847e-01 5.96273290e-16 5.88383644e-14 7.93423317e-03]\n  [9.92430031e-01 2.01118166e-16 3.09730337e-14 7.57002318e-03]]\n\n ...\n\n [[9.40817356e-01 1.19810181e-06 5.18463548e-06 5.91762066e-02]\n  [9.42930520e-01 5.43942935e-09 5.02326962e-08 5.70694171e-02]\n  [9.48526919e-01 1.02935038e-09 1.61118567e-08 5.14730550e-02]\n  [9.50637162e-01 1.25562771e-09 2.30157848e-08 4.93627675e-02]\n  [9.50701296e-01 1.29617617e-09 2.39985578e-08 4.92986664e-02]]\n\n [[9.35140729e-01 2.37424047e-06 9.70620385e-06 6.48471862e-02]\n  [9.43718612e-01 1.37438612e-08 1.00274960e-07 5.62813319e-02]\n  [9.52683866e-01 3.19850657e-09 3.61964503e-08 4.73161303e-02]\n  [9.49657202e-01 4.09313516e-09 5.23759915e-08 5.03427833e-02]\n  [9.48463202e-01 4.14438128e-09 5.93544556e-08 5.15366159e-02]]\n\n [[9.06248331e-01 6.04262277e-05 1.93076645e-04 9.34982076e-02]\n  [9.49198127e-01 1.61178320e-06 6.41183306e-06 5.07937595e-02]\n  [9.59971070e-01 7.62244440e-07 3.42835210e-06 4.00247574e-02]\n  [9.57849979e-01 1.00492332e-06 4.75249090e-06 4.21441831e-02]\n  [9.53936696e-01 1.13689703e-06 5.53132486e-06 4.60566804e-02]]]\nPredicted mask after argmax for 2008_000099: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000099 has shape: (357, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000099. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000112: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58811045e-01 5.57090925e-06 1.08764707e-05 4.11724783e-02]\n  [9.76862133e-01 3.12999120e-08 5.62181661e-08 2.31378544e-02]\n  [9.82165754e-01 4.16475165e-09 1.15251355e-08 1.78342927e-02]\n  [9.82332349e-01 2.83955548e-09 1.02684741e-08 1.76677480e-02]\n  [9.82900679e-01 1.69483305e-09 7.10938997e-09 1.70993041e-02]]\n\n [[9.83450949e-01 1.21657875e-08 4.56911344e-08 1.65491346e-02]\n  [9.82869387e-01 1.48893276e-11 6.00673122e-11 1.71306767e-02]\n  [9.79539275e-01 2.75653285e-12 2.07347143e-11 2.04607267e-02]\n  [9.76719022e-01 3.76299599e-12 4.36745258e-11 2.32809223e-02]\n  [9.75911796e-01 2.31899330e-12 3.66609937e-11 2.40881611e-02]]\n\n [[9.92487550e-01 7.02852887e-10 4.07561540e-09 7.51242600e-03]\n  [9.91260827e-01 6.80718936e-13 5.35422878e-12 8.73925257e-03]\n  [9.87339020e-01 1.96040178e-13 4.52292934e-12 1.26609737e-02]\n  [9.81054008e-01 4.54535959e-13 1.74534918e-11 1.89460162e-02]\n  [9.79809403e-01 2.82123635e-13 1.54368410e-11 2.01905482e-02]]\n\n ...\n\n [[9.00337577e-01 1.61172120e-05 5.49785000e-05 9.95913520e-02]\n  [9.09892857e-01 1.74855060e-07 1.18417336e-06 9.01056901e-02]\n  [9.22098339e-01 4.20925268e-08 4.11971541e-07 7.79012367e-02]\n  [9.24359739e-01 5.01759345e-08 5.32448041e-07 7.56396726e-02]\n  [9.23292696e-01 5.72857175e-08 5.99239172e-07 7.67066404e-02]]\n\n [[8.94069493e-01 2.79169235e-05 9.13859476e-05 1.05811246e-01]\n  [9.09550548e-01 3.88468408e-07 2.16758531e-06 9.04468223e-02]\n  [9.22432542e-01 1.10519053e-07 8.35783624e-07 7.75664598e-02]\n  [9.21592951e-01 1.25957015e-07 1.05215281e-06 7.84058347e-02]\n  [9.19831216e-01 1.34655323e-07 1.19451875e-06 8.01674128e-02]]\n\n [[8.59418452e-01 3.87928274e-04 1.01376651e-03 1.39179975e-01]\n  [9.12428439e-01 2.22214167e-05 6.92341200e-05 8.74800533e-02]\n  [9.28408980e-01 1.11965646e-05 3.96508512e-05 7.15402439e-02]\n  [9.24887359e-01 1.32884534e-05 4.84890334e-05 7.50507936e-02]\n  [9.20006454e-01 1.47626279e-05 5.43644564e-05 7.99243376e-02]]]\nPredicted mask after argmax for 2008_000112: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000112 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000112. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000112: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58811045e-01 5.57090925e-06 1.08764707e-05 4.11724783e-02]\n  [9.76862133e-01 3.12999120e-08 5.62181661e-08 2.31378544e-02]\n  [9.82165754e-01 4.16475165e-09 1.15251355e-08 1.78342927e-02]\n  [9.82332349e-01 2.83955548e-09 1.02684741e-08 1.76677480e-02]\n  [9.82900679e-01 1.69483305e-09 7.10938997e-09 1.70993041e-02]]\n\n [[9.83450949e-01 1.21657875e-08 4.56911344e-08 1.65491346e-02]\n  [9.82869387e-01 1.48893276e-11 6.00673122e-11 1.71306767e-02]\n  [9.79539275e-01 2.75653285e-12 2.07347143e-11 2.04607267e-02]\n  [9.76719022e-01 3.76299599e-12 4.36745258e-11 2.32809223e-02]\n  [9.75911796e-01 2.31899330e-12 3.66609937e-11 2.40881611e-02]]\n\n [[9.92487550e-01 7.02852887e-10 4.07561540e-09 7.51242600e-03]\n  [9.91260827e-01 6.80718936e-13 5.35422878e-12 8.73925257e-03]\n  [9.87339020e-01 1.96040178e-13 4.52292934e-12 1.26609737e-02]\n  [9.81054008e-01 4.54535959e-13 1.74534918e-11 1.89460162e-02]\n  [9.79809403e-01 2.82123635e-13 1.54368410e-11 2.01905482e-02]]\n\n ...\n\n [[9.00337577e-01 1.61172120e-05 5.49785000e-05 9.95913520e-02]\n  [9.09892857e-01 1.74855060e-07 1.18417336e-06 9.01056901e-02]\n  [9.22098339e-01 4.20925268e-08 4.11971541e-07 7.79012367e-02]\n  [9.24359739e-01 5.01759345e-08 5.32448041e-07 7.56396726e-02]\n  [9.23292696e-01 5.72857175e-08 5.99239172e-07 7.67066404e-02]]\n\n [[8.94069493e-01 2.79169235e-05 9.13859476e-05 1.05811246e-01]\n  [9.09550548e-01 3.88468408e-07 2.16758531e-06 9.04468223e-02]\n  [9.22432542e-01 1.10519053e-07 8.35783624e-07 7.75664598e-02]\n  [9.21592951e-01 1.25957015e-07 1.05215281e-06 7.84058347e-02]\n  [9.19831216e-01 1.34655323e-07 1.19451875e-06 8.01674128e-02]]\n\n [[8.59418452e-01 3.87928274e-04 1.01376651e-03 1.39179975e-01]\n  [9.12428439e-01 2.22214167e-05 6.92341200e-05 8.74800533e-02]\n  [9.28408980e-01 1.11965646e-05 3.96508512e-05 7.15402439e-02]\n  [9.24887359e-01 1.32884534e-05 4.84890334e-05 7.50507936e-02]\n  [9.20006454e-01 1.47626279e-05 5.43644564e-05 7.99243376e-02]]]\nPredicted mask after argmax for 2008_000112: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000112 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000112. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000112: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58811045e-01 5.57090925e-06 1.08764707e-05 4.11724783e-02]\n  [9.76862133e-01 3.12999120e-08 5.62181661e-08 2.31378544e-02]\n  [9.82165754e-01 4.16475165e-09 1.15251355e-08 1.78342927e-02]\n  [9.82332349e-01 2.83955548e-09 1.02684741e-08 1.76677480e-02]\n  [9.82900679e-01 1.69483305e-09 7.10938997e-09 1.70993041e-02]]\n\n [[9.83450949e-01 1.21657875e-08 4.56911344e-08 1.65491346e-02]\n  [9.82869387e-01 1.48893276e-11 6.00673122e-11 1.71306767e-02]\n  [9.79539275e-01 2.75653285e-12 2.07347143e-11 2.04607267e-02]\n  [9.76719022e-01 3.76299599e-12 4.36745258e-11 2.32809223e-02]\n  [9.75911796e-01 2.31899330e-12 3.66609937e-11 2.40881611e-02]]\n\n [[9.92487550e-01 7.02852887e-10 4.07561540e-09 7.51242600e-03]\n  [9.91260827e-01 6.80718936e-13 5.35422878e-12 8.73925257e-03]\n  [9.87339020e-01 1.96040178e-13 4.52292934e-12 1.26609737e-02]\n  [9.81054008e-01 4.54535959e-13 1.74534918e-11 1.89460162e-02]\n  [9.79809403e-01 2.82123635e-13 1.54368410e-11 2.01905482e-02]]\n\n ...\n\n [[9.00337577e-01 1.61172120e-05 5.49785000e-05 9.95913520e-02]\n  [9.09892857e-01 1.74855060e-07 1.18417336e-06 9.01056901e-02]\n  [9.22098339e-01 4.20925268e-08 4.11971541e-07 7.79012367e-02]\n  [9.24359739e-01 5.01759345e-08 5.32448041e-07 7.56396726e-02]\n  [9.23292696e-01 5.72857175e-08 5.99239172e-07 7.67066404e-02]]\n\n [[8.94069493e-01 2.79169235e-05 9.13859476e-05 1.05811246e-01]\n  [9.09550548e-01 3.88468408e-07 2.16758531e-06 9.04468223e-02]\n  [9.22432542e-01 1.10519053e-07 8.35783624e-07 7.75664598e-02]\n  [9.21592951e-01 1.25957015e-07 1.05215281e-06 7.84058347e-02]\n  [9.19831216e-01 1.34655323e-07 1.19451875e-06 8.01674128e-02]]\n\n [[8.59418452e-01 3.87928274e-04 1.01376651e-03 1.39179975e-01]\n  [9.12428439e-01 2.22214167e-05 6.92341200e-05 8.74800533e-02]\n  [9.28408980e-01 1.11965646e-05 3.96508512e-05 7.15402439e-02]\n  [9.24887359e-01 1.32884534e-05 4.84890334e-05 7.50507936e-02]\n  [9.20006454e-01 1.47626279e-05 5.43644564e-05 7.99243376e-02]]]\nPredicted mask after argmax for 2008_000112: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000112 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000112. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000115.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000115: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33971107e-01 3.14463505e-05 5.49498982e-05 6.59425557e-02]\n  [9.54863131e-01 3.96302596e-07 7.63557466e-07 4.51357365e-02]\n  [9.59442496e-01 1.00647163e-07 3.07522782e-07 4.05571163e-02]\n  [9.55853879e-01 1.22489482e-07 4.63157875e-07 4.41455320e-02]\n  [9.52776909e-01 1.21231935e-07 5.14284068e-07 4.72224616e-02]]\n\n [[9.73168314e-01 1.06470445e-07 3.48942052e-07 2.68312171e-02]\n  [9.70754802e-01 3.33657241e-10 1.30038091e-09 2.92451661e-02]\n  [9.66904938e-01 9.02939598e-11 7.09859449e-10 3.30951326e-02]\n  [9.61154699e-01 1.87708307e-10 2.10890083e-09 3.88453640e-02]\n  [9.58955169e-01 1.88745436e-10 2.73693912e-09 4.10448425e-02]]\n\n [[9.86322165e-01 8.17903256e-09 3.92517592e-08 1.36777638e-02]\n  [9.83552516e-01 1.75938535e-11 1.16621074e-10 1.64475664e-02]\n  [9.78797495e-01 5.99285292e-12 1.09341418e-10 2.12024283e-02]\n  [9.71281052e-01 1.47969709e-11 3.91172761e-10 2.87189540e-02]\n  [9.70004559e-01 1.36776675e-11 4.62539451e-10 2.99954899e-02]]\n\n ...\n\n [[9.17925000e-01 5.80432970e-06 2.26364064e-05 8.20465982e-02]\n  [9.36599433e-01 2.94709661e-08 2.29217932e-07 6.34003729e-02]\n  [9.43162560e-01 6.12147977e-09 7.60393633e-08 5.68373054e-02]\n  [9.44189370e-01 7.89985144e-09 1.07894650e-07 5.58104962e-02]\n  [9.40171301e-01 1.37356722e-08 1.76080889e-07 5.98284639e-02]]\n\n [[9.00136054e-01 1.90615938e-05 6.84071929e-05 9.97764170e-02]\n  [9.23801780e-01 1.65557594e-07 1.02239426e-06 7.61970207e-02]\n  [9.35880542e-01 4.16347028e-08 3.76312073e-07 6.41190708e-02]\n  [9.33305323e-01 4.79505395e-08 4.73020691e-07 6.66942000e-02]\n  [9.29306984e-01 7.05107794e-08 7.09579865e-07 7.06922486e-02]]\n\n [[8.54939461e-01 4.32326662e-04 1.17286702e-03 1.43455356e-01]\n  [9.08223391e-01 2.26262291e-05 7.41357944e-05 9.16798040e-02]\n  [9.25061166e-01 1.06157386e-05 4.14616225e-05 7.48867989e-02]\n  [9.20031905e-01 1.31031074e-05 5.30034085e-05 7.99020231e-02]\n  [9.12742674e-01 1.77487254e-05 7.15467395e-05 8.71679932e-02]]]\nPredicted mask after argmax for 2008_000115: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000115 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000115. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000115.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000115: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33971107e-01 3.14463505e-05 5.49498982e-05 6.59425557e-02]\n  [9.54863131e-01 3.96302596e-07 7.63557466e-07 4.51357365e-02]\n  [9.59442496e-01 1.00647163e-07 3.07522782e-07 4.05571163e-02]\n  [9.55853879e-01 1.22489482e-07 4.63157875e-07 4.41455320e-02]\n  [9.52776909e-01 1.21231935e-07 5.14284068e-07 4.72224616e-02]]\n\n [[9.73168314e-01 1.06470445e-07 3.48942052e-07 2.68312171e-02]\n  [9.70754802e-01 3.33657241e-10 1.30038091e-09 2.92451661e-02]\n  [9.66904938e-01 9.02939598e-11 7.09859449e-10 3.30951326e-02]\n  [9.61154699e-01 1.87708307e-10 2.10890083e-09 3.88453640e-02]\n  [9.58955169e-01 1.88745436e-10 2.73693912e-09 4.10448425e-02]]\n\n [[9.86322165e-01 8.17903256e-09 3.92517592e-08 1.36777638e-02]\n  [9.83552516e-01 1.75938535e-11 1.16621074e-10 1.64475664e-02]\n  [9.78797495e-01 5.99285292e-12 1.09341418e-10 2.12024283e-02]\n  [9.71281052e-01 1.47969709e-11 3.91172761e-10 2.87189540e-02]\n  [9.70004559e-01 1.36776675e-11 4.62539451e-10 2.99954899e-02]]\n\n ...\n\n [[9.17925000e-01 5.80432970e-06 2.26364064e-05 8.20465982e-02]\n  [9.36599433e-01 2.94709661e-08 2.29217932e-07 6.34003729e-02]\n  [9.43162560e-01 6.12147977e-09 7.60393633e-08 5.68373054e-02]\n  [9.44189370e-01 7.89985144e-09 1.07894650e-07 5.58104962e-02]\n  [9.40171301e-01 1.37356722e-08 1.76080889e-07 5.98284639e-02]]\n\n [[9.00136054e-01 1.90615938e-05 6.84071929e-05 9.97764170e-02]\n  [9.23801780e-01 1.65557594e-07 1.02239426e-06 7.61970207e-02]\n  [9.35880542e-01 4.16347028e-08 3.76312073e-07 6.41190708e-02]\n  [9.33305323e-01 4.79505395e-08 4.73020691e-07 6.66942000e-02]\n  [9.29306984e-01 7.05107794e-08 7.09579865e-07 7.06922486e-02]]\n\n [[8.54939461e-01 4.32326662e-04 1.17286702e-03 1.43455356e-01]\n  [9.08223391e-01 2.26262291e-05 7.41357944e-05 9.16798040e-02]\n  [9.25061166e-01 1.06157386e-05 4.14616225e-05 7.48867989e-02]\n  [9.20031905e-01 1.31031074e-05 5.30034085e-05 7.99020231e-02]\n  [9.12742674e-01 1.77487254e-05 7.15467395e-05 8.71679932e-02]]]\nPredicted mask after argmax for 2008_000115: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000115 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000115. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000115.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000115: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33971107e-01 3.14463505e-05 5.49498982e-05 6.59425557e-02]\n  [9.54863131e-01 3.96302596e-07 7.63557466e-07 4.51357365e-02]\n  [9.59442496e-01 1.00647163e-07 3.07522782e-07 4.05571163e-02]\n  [9.55853879e-01 1.22489482e-07 4.63157875e-07 4.41455320e-02]\n  [9.52776909e-01 1.21231935e-07 5.14284068e-07 4.72224616e-02]]\n\n [[9.73168314e-01 1.06470445e-07 3.48942052e-07 2.68312171e-02]\n  [9.70754802e-01 3.33657241e-10 1.30038091e-09 2.92451661e-02]\n  [9.66904938e-01 9.02939598e-11 7.09859449e-10 3.30951326e-02]\n  [9.61154699e-01 1.87708307e-10 2.10890083e-09 3.88453640e-02]\n  [9.58955169e-01 1.88745436e-10 2.73693912e-09 4.10448425e-02]]\n\n [[9.86322165e-01 8.17903256e-09 3.92517592e-08 1.36777638e-02]\n  [9.83552516e-01 1.75938535e-11 1.16621074e-10 1.64475664e-02]\n  [9.78797495e-01 5.99285292e-12 1.09341418e-10 2.12024283e-02]\n  [9.71281052e-01 1.47969709e-11 3.91172761e-10 2.87189540e-02]\n  [9.70004559e-01 1.36776675e-11 4.62539451e-10 2.99954899e-02]]\n\n ...\n\n [[9.17925000e-01 5.80432970e-06 2.26364064e-05 8.20465982e-02]\n  [9.36599433e-01 2.94709661e-08 2.29217932e-07 6.34003729e-02]\n  [9.43162560e-01 6.12147977e-09 7.60393633e-08 5.68373054e-02]\n  [9.44189370e-01 7.89985144e-09 1.07894650e-07 5.58104962e-02]\n  [9.40171301e-01 1.37356722e-08 1.76080889e-07 5.98284639e-02]]\n\n [[9.00136054e-01 1.90615938e-05 6.84071929e-05 9.97764170e-02]\n  [9.23801780e-01 1.65557594e-07 1.02239426e-06 7.61970207e-02]\n  [9.35880542e-01 4.16347028e-08 3.76312073e-07 6.41190708e-02]\n  [9.33305323e-01 4.79505395e-08 4.73020691e-07 6.66942000e-02]\n  [9.29306984e-01 7.05107794e-08 7.09579865e-07 7.06922486e-02]]\n\n [[8.54939461e-01 4.32326662e-04 1.17286702e-03 1.43455356e-01]\n  [9.08223391e-01 2.26262291e-05 7.41357944e-05 9.16798040e-02]\n  [9.25061166e-01 1.06157386e-05 4.14616225e-05 7.48867989e-02]\n  [9.20031905e-01 1.31031074e-05 5.30034085e-05 7.99020231e-02]\n  [9.12742674e-01 1.77487254e-05 7.15467395e-05 8.71679932e-02]]]\nPredicted mask after argmax for 2008_000115: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000115 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000115. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000115.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000115: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33971107e-01 3.14463505e-05 5.49498982e-05 6.59425557e-02]\n  [9.54863131e-01 3.96302596e-07 7.63557466e-07 4.51357365e-02]\n  [9.59442496e-01 1.00647163e-07 3.07522782e-07 4.05571163e-02]\n  [9.55853879e-01 1.22489482e-07 4.63157875e-07 4.41455320e-02]\n  [9.52776909e-01 1.21231935e-07 5.14284068e-07 4.72224616e-02]]\n\n [[9.73168314e-01 1.06470445e-07 3.48942052e-07 2.68312171e-02]\n  [9.70754802e-01 3.33657241e-10 1.30038091e-09 2.92451661e-02]\n  [9.66904938e-01 9.02939598e-11 7.09859449e-10 3.30951326e-02]\n  [9.61154699e-01 1.87708307e-10 2.10890083e-09 3.88453640e-02]\n  [9.58955169e-01 1.88745436e-10 2.73693912e-09 4.10448425e-02]]\n\n [[9.86322165e-01 8.17903256e-09 3.92517592e-08 1.36777638e-02]\n  [9.83552516e-01 1.75938535e-11 1.16621074e-10 1.64475664e-02]\n  [9.78797495e-01 5.99285292e-12 1.09341418e-10 2.12024283e-02]\n  [9.71281052e-01 1.47969709e-11 3.91172761e-10 2.87189540e-02]\n  [9.70004559e-01 1.36776675e-11 4.62539451e-10 2.99954899e-02]]\n\n ...\n\n [[9.17925000e-01 5.80432970e-06 2.26364064e-05 8.20465982e-02]\n  [9.36599433e-01 2.94709661e-08 2.29217932e-07 6.34003729e-02]\n  [9.43162560e-01 6.12147977e-09 7.60393633e-08 5.68373054e-02]\n  [9.44189370e-01 7.89985144e-09 1.07894650e-07 5.58104962e-02]\n  [9.40171301e-01 1.37356722e-08 1.76080889e-07 5.98284639e-02]]\n\n [[9.00136054e-01 1.90615938e-05 6.84071929e-05 9.97764170e-02]\n  [9.23801780e-01 1.65557594e-07 1.02239426e-06 7.61970207e-02]\n  [9.35880542e-01 4.16347028e-08 3.76312073e-07 6.41190708e-02]\n  [9.33305323e-01 4.79505395e-08 4.73020691e-07 6.66942000e-02]\n  [9.29306984e-01 7.05107794e-08 7.09579865e-07 7.06922486e-02]]\n\n [[8.54939461e-01 4.32326662e-04 1.17286702e-03 1.43455356e-01]\n  [9.08223391e-01 2.26262291e-05 7.41357944e-05 9.16798040e-02]\n  [9.25061166e-01 1.06157386e-05 4.14616225e-05 7.48867989e-02]\n  [9.20031905e-01 1.31031074e-05 5.30034085e-05 7.99020231e-02]\n  [9.12742674e-01 1.77487254e-05 7.15467395e-05 8.71679932e-02]]]\nPredicted mask after argmax for 2008_000115: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000115 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000115. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000116: (1, 256, 256, 4)\nSome predicted mask values: [[[9.47865963e-01 1.32336081e-05 2.55691903e-05 5.20953238e-02]\n  [9.71851230e-01 7.71817099e-08 1.45048162e-07 2.81485394e-02]\n  [9.80328381e-01 7.48088080e-09 2.00618437e-08 1.96716096e-02]\n  [9.82375324e-01 3.73108699e-09 1.22911361e-08 1.76246706e-02]\n  [9.83772337e-01 2.05913886e-09 7.52737872e-09 1.62276924e-02]]\n\n [[9.75121200e-01 5.75303574e-08 2.05490409e-07 2.48785336e-02]\n  [9.76593733e-01 7.83867415e-11 3.21780963e-10 2.34062616e-02]\n  [9.75542068e-01 9.03772283e-12 6.23936597e-11 2.44579036e-02]\n  [9.74785268e-01 7.64952945e-12 7.52505142e-11 2.52148006e-02]\n  [9.74748790e-01 4.29374288e-12 5.39258325e-11 2.52512768e-02]]\n\n [[9.87036467e-01 5.65035929e-09 3.07646388e-08 1.29635576e-02]\n  [9.86341894e-01 6.38421043e-12 5.07121671e-11 1.36581073e-02]\n  [9.83482063e-01 1.03993919e-12 2.11797975e-11 1.65179167e-02]\n  [9.79060948e-01 1.31519036e-12 4.20188120e-11 2.09390856e-02]\n  [9.78361309e-01 7.48834534e-13 3.21376606e-11 2.16386989e-02]]\n\n ...\n\n [[9.39439118e-01 1.86028058e-06 7.62603850e-06 6.05513826e-02]\n  [9.38699126e-01 1.35125200e-08 1.04924410e-07 6.13007136e-02]\n  [9.40376282e-01 3.96038269e-09 4.99016011e-08 5.96237294e-02]\n  [9.42001343e-01 5.85474336e-09 8.48563815e-08 5.79985529e-02]\n  [9.41530466e-01 6.95534430e-09 1.00052375e-07 5.84693998e-02]]\n\n [[9.28633749e-01 4.80141171e-06 1.84886230e-05 7.13429973e-02]\n  [9.34315860e-01 4.68934367e-08 2.94701209e-07 6.56838119e-02]\n  [9.42441821e-01 1.52677799e-08 1.45053932e-07 5.75580597e-02]\n  [9.37777996e-01 2.19921468e-08 2.32465197e-07 6.22217581e-02]\n  [9.36107695e-01 2.42604123e-08 2.84326404e-07 6.38919696e-02]]\n\n [[8.93265426e-01 1.22557685e-04 3.66655673e-04 1.06245421e-01]\n  [9.35070872e-01 5.32111153e-06 1.91264007e-05 6.49046078e-02]\n  [9.45612967e-01 3.09062261e-06 1.25834849e-05 5.43713681e-02]\n  [9.41089630e-01 4.35560969e-06 1.85512381e-05 5.88874891e-02]\n  [9.34724391e-01 5.20188632e-06 2.26500542e-05 6.52478039e-02]]]\nPredicted mask after argmax for 2008_000116: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000116 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000116. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000116: (1, 256, 256, 4)\nSome predicted mask values: [[[9.47865963e-01 1.32336081e-05 2.55691903e-05 5.20953238e-02]\n  [9.71851230e-01 7.71817099e-08 1.45048162e-07 2.81485394e-02]\n  [9.80328381e-01 7.48088080e-09 2.00618437e-08 1.96716096e-02]\n  [9.82375324e-01 3.73108699e-09 1.22911361e-08 1.76246706e-02]\n  [9.83772337e-01 2.05913886e-09 7.52737872e-09 1.62276924e-02]]\n\n [[9.75121200e-01 5.75303574e-08 2.05490409e-07 2.48785336e-02]\n  [9.76593733e-01 7.83867415e-11 3.21780963e-10 2.34062616e-02]\n  [9.75542068e-01 9.03772283e-12 6.23936597e-11 2.44579036e-02]\n  [9.74785268e-01 7.64952945e-12 7.52505142e-11 2.52148006e-02]\n  [9.74748790e-01 4.29374288e-12 5.39258325e-11 2.52512768e-02]]\n\n [[9.87036467e-01 5.65035929e-09 3.07646388e-08 1.29635576e-02]\n  [9.86341894e-01 6.38421043e-12 5.07121671e-11 1.36581073e-02]\n  [9.83482063e-01 1.03993919e-12 2.11797975e-11 1.65179167e-02]\n  [9.79060948e-01 1.31519036e-12 4.20188120e-11 2.09390856e-02]\n  [9.78361309e-01 7.48834534e-13 3.21376606e-11 2.16386989e-02]]\n\n ...\n\n [[9.39439118e-01 1.86028058e-06 7.62603850e-06 6.05513826e-02]\n  [9.38699126e-01 1.35125200e-08 1.04924410e-07 6.13007136e-02]\n  [9.40376282e-01 3.96038269e-09 4.99016011e-08 5.96237294e-02]\n  [9.42001343e-01 5.85474336e-09 8.48563815e-08 5.79985529e-02]\n  [9.41530466e-01 6.95534430e-09 1.00052375e-07 5.84693998e-02]]\n\n [[9.28633749e-01 4.80141171e-06 1.84886230e-05 7.13429973e-02]\n  [9.34315860e-01 4.68934367e-08 2.94701209e-07 6.56838119e-02]\n  [9.42441821e-01 1.52677799e-08 1.45053932e-07 5.75580597e-02]\n  [9.37777996e-01 2.19921468e-08 2.32465197e-07 6.22217581e-02]\n  [9.36107695e-01 2.42604123e-08 2.84326404e-07 6.38919696e-02]]\n\n [[8.93265426e-01 1.22557685e-04 3.66655673e-04 1.06245421e-01]\n  [9.35070872e-01 5.32111153e-06 1.91264007e-05 6.49046078e-02]\n  [9.45612967e-01 3.09062261e-06 1.25834849e-05 5.43713681e-02]\n  [9.41089630e-01 4.35560969e-06 1.85512381e-05 5.88874891e-02]\n  [9.34724391e-01 5.20188632e-06 2.26500542e-05 6.52478039e-02]]]\nPredicted mask after argmax for 2008_000116: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000116 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000116. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000116: (1, 256, 256, 4)\nSome predicted mask values: [[[9.47865963e-01 1.32336081e-05 2.55691903e-05 5.20953238e-02]\n  [9.71851230e-01 7.71817099e-08 1.45048162e-07 2.81485394e-02]\n  [9.80328381e-01 7.48088080e-09 2.00618437e-08 1.96716096e-02]\n  [9.82375324e-01 3.73108699e-09 1.22911361e-08 1.76246706e-02]\n  [9.83772337e-01 2.05913886e-09 7.52737872e-09 1.62276924e-02]]\n\n [[9.75121200e-01 5.75303574e-08 2.05490409e-07 2.48785336e-02]\n  [9.76593733e-01 7.83867415e-11 3.21780963e-10 2.34062616e-02]\n  [9.75542068e-01 9.03772283e-12 6.23936597e-11 2.44579036e-02]\n  [9.74785268e-01 7.64952945e-12 7.52505142e-11 2.52148006e-02]\n  [9.74748790e-01 4.29374288e-12 5.39258325e-11 2.52512768e-02]]\n\n [[9.87036467e-01 5.65035929e-09 3.07646388e-08 1.29635576e-02]\n  [9.86341894e-01 6.38421043e-12 5.07121671e-11 1.36581073e-02]\n  [9.83482063e-01 1.03993919e-12 2.11797975e-11 1.65179167e-02]\n  [9.79060948e-01 1.31519036e-12 4.20188120e-11 2.09390856e-02]\n  [9.78361309e-01 7.48834534e-13 3.21376606e-11 2.16386989e-02]]\n\n ...\n\n [[9.39439118e-01 1.86028058e-06 7.62603850e-06 6.05513826e-02]\n  [9.38699126e-01 1.35125200e-08 1.04924410e-07 6.13007136e-02]\n  [9.40376282e-01 3.96038269e-09 4.99016011e-08 5.96237294e-02]\n  [9.42001343e-01 5.85474336e-09 8.48563815e-08 5.79985529e-02]\n  [9.41530466e-01 6.95534430e-09 1.00052375e-07 5.84693998e-02]]\n\n [[9.28633749e-01 4.80141171e-06 1.84886230e-05 7.13429973e-02]\n  [9.34315860e-01 4.68934367e-08 2.94701209e-07 6.56838119e-02]\n  [9.42441821e-01 1.52677799e-08 1.45053932e-07 5.75580597e-02]\n  [9.37777996e-01 2.19921468e-08 2.32465197e-07 6.22217581e-02]\n  [9.36107695e-01 2.42604123e-08 2.84326404e-07 6.38919696e-02]]\n\n [[8.93265426e-01 1.22557685e-04 3.66655673e-04 1.06245421e-01]\n  [9.35070872e-01 5.32111153e-06 1.91264007e-05 6.49046078e-02]\n  [9.45612967e-01 3.09062261e-06 1.25834849e-05 5.43713681e-02]\n  [9.41089630e-01 4.35560969e-06 1.85512381e-05 5.88874891e-02]\n  [9.34724391e-01 5.20188632e-06 2.26500542e-05 6.52478039e-02]]]\nPredicted mask after argmax for 2008_000116: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000116 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000116. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000119.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000119: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8612386e-01 5.3492268e-08 1.2974874e-07 1.3875972e-02]\n  [9.9251974e-01 6.2191301e-11 1.4640883e-10 7.4803019e-03]\n  [9.9342924e-01 6.6642156e-12 3.4628158e-11 6.5707858e-03]\n  [9.9274725e-01 5.4025725e-12 4.4308505e-11 7.2527700e-03]\n  [9.9370778e-01 1.2277485e-12 1.3619734e-11 6.2921462e-03]]\n\n [[9.9709105e-01 4.3577386e-12 2.7566352e-11 2.9089511e-03]\n  [9.9623197e-01 5.5017781e-16 3.8382845e-15 3.7680732e-03]\n  [9.9452406e-01 8.3740245e-17 2.0895968e-15 5.4759393e-03]\n  [9.9314606e-01 1.5591983e-16 8.3029905e-15 6.8539428e-03]\n  [9.9381185e-01 2.4681835e-17 2.3677440e-15 6.1881789e-03]]\n\n [[9.9925321e-01 2.5527159e-14 3.1724390e-13 7.4675231e-04]\n  [9.9887198e-01 1.2144149e-18 2.3208417e-17 1.1280135e-03]\n  [9.9779749e-01 2.5999489e-19 3.1297702e-17 2.2024969e-03]\n  [9.9679035e-01 4.9675706e-19 1.4610323e-16 3.2095844e-03]\n  [9.9723011e-01 5.9167938e-20 3.5351741e-17 2.7699291e-03]]\n\n ...\n\n [[9.2039198e-01 2.6153521e-06 1.1144173e-05 7.9594240e-02]\n  [9.3381900e-01 9.3489518e-09 9.6660941e-08 6.6180952e-02]\n  [9.4718444e-01 1.2922856e-09 2.0906338e-08 5.2815612e-02]\n  [9.4915152e-01 1.4229917e-09 2.5476004e-08 5.0848454e-02]\n  [9.4889760e-01 1.4458713e-09 2.6244608e-08 5.1102389e-02]]\n\n [[9.2049921e-01 3.6853899e-06 1.5262454e-05 7.9481781e-02]\n  [9.3865126e-01 1.7480007e-08 1.4399582e-07 6.1348647e-02]\n  [9.5018774e-01 2.9179754e-09 3.4508968e-08 4.9812205e-02]\n  [9.5030946e-01 3.1502798e-09 4.1934250e-08 4.9690470e-02]\n  [9.5001644e-01 2.8280771e-09 4.0979199e-08 4.9983539e-02]]\n\n [[8.9586025e-01 7.6051037e-05 2.4313692e-04 1.0382052e-01]\n  [9.4536388e-01 1.8350664e-06 7.3741471e-06 5.4626942e-02]\n  [9.5996612e-01 6.5697344e-07 3.0611784e-06 4.0030185e-02]\n  [9.5902663e-01 7.7170768e-07 3.7694936e-06 4.0968817e-02]\n  [9.5729244e-01 7.8506338e-07 3.9275637e-06 4.2702943e-02]]]\nPredicted mask after argmax for 2008_000119: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000119 has shape: (499, 264)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000119. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000119.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000119: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8612386e-01 5.3492268e-08 1.2974874e-07 1.3875972e-02]\n  [9.9251974e-01 6.2191301e-11 1.4640883e-10 7.4803019e-03]\n  [9.9342924e-01 6.6642156e-12 3.4628158e-11 6.5707858e-03]\n  [9.9274725e-01 5.4025725e-12 4.4308505e-11 7.2527700e-03]\n  [9.9370778e-01 1.2277485e-12 1.3619734e-11 6.2921462e-03]]\n\n [[9.9709105e-01 4.3577386e-12 2.7566352e-11 2.9089511e-03]\n  [9.9623197e-01 5.5017781e-16 3.8382845e-15 3.7680732e-03]\n  [9.9452406e-01 8.3740245e-17 2.0895968e-15 5.4759393e-03]\n  [9.9314606e-01 1.5591983e-16 8.3029905e-15 6.8539428e-03]\n  [9.9381185e-01 2.4681835e-17 2.3677440e-15 6.1881789e-03]]\n\n [[9.9925321e-01 2.5527159e-14 3.1724390e-13 7.4675231e-04]\n  [9.9887198e-01 1.2144149e-18 2.3208417e-17 1.1280135e-03]\n  [9.9779749e-01 2.5999489e-19 3.1297702e-17 2.2024969e-03]\n  [9.9679035e-01 4.9675706e-19 1.4610323e-16 3.2095844e-03]\n  [9.9723011e-01 5.9167938e-20 3.5351741e-17 2.7699291e-03]]\n\n ...\n\n [[9.2039198e-01 2.6153521e-06 1.1144173e-05 7.9594240e-02]\n  [9.3381900e-01 9.3489518e-09 9.6660941e-08 6.6180952e-02]\n  [9.4718444e-01 1.2922856e-09 2.0906338e-08 5.2815612e-02]\n  [9.4915152e-01 1.4229917e-09 2.5476004e-08 5.0848454e-02]\n  [9.4889760e-01 1.4458713e-09 2.6244608e-08 5.1102389e-02]]\n\n [[9.2049921e-01 3.6853899e-06 1.5262454e-05 7.9481781e-02]\n  [9.3865126e-01 1.7480007e-08 1.4399582e-07 6.1348647e-02]\n  [9.5018774e-01 2.9179754e-09 3.4508968e-08 4.9812205e-02]\n  [9.5030946e-01 3.1502798e-09 4.1934250e-08 4.9690470e-02]\n  [9.5001644e-01 2.8280771e-09 4.0979199e-08 4.9983539e-02]]\n\n [[8.9586025e-01 7.6051037e-05 2.4313692e-04 1.0382052e-01]\n  [9.4536388e-01 1.8350664e-06 7.3741471e-06 5.4626942e-02]\n  [9.5996612e-01 6.5697344e-07 3.0611784e-06 4.0030185e-02]\n  [9.5902663e-01 7.7170768e-07 3.7694936e-06 4.0968817e-02]\n  [9.5729244e-01 7.8506338e-07 3.9275637e-06 4.2702943e-02]]]\nPredicted mask after argmax for 2008_000119: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000119 has shape: (499, 264)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000119. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000119.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000119: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8612386e-01 5.3492268e-08 1.2974874e-07 1.3875972e-02]\n  [9.9251974e-01 6.2191301e-11 1.4640883e-10 7.4803019e-03]\n  [9.9342924e-01 6.6642156e-12 3.4628158e-11 6.5707858e-03]\n  [9.9274725e-01 5.4025725e-12 4.4308505e-11 7.2527700e-03]\n  [9.9370778e-01 1.2277485e-12 1.3619734e-11 6.2921462e-03]]\n\n [[9.9709105e-01 4.3577386e-12 2.7566352e-11 2.9089511e-03]\n  [9.9623197e-01 5.5017781e-16 3.8382845e-15 3.7680732e-03]\n  [9.9452406e-01 8.3740245e-17 2.0895968e-15 5.4759393e-03]\n  [9.9314606e-01 1.5591983e-16 8.3029905e-15 6.8539428e-03]\n  [9.9381185e-01 2.4681835e-17 2.3677440e-15 6.1881789e-03]]\n\n [[9.9925321e-01 2.5527159e-14 3.1724390e-13 7.4675231e-04]\n  [9.9887198e-01 1.2144149e-18 2.3208417e-17 1.1280135e-03]\n  [9.9779749e-01 2.5999489e-19 3.1297702e-17 2.2024969e-03]\n  [9.9679035e-01 4.9675706e-19 1.4610323e-16 3.2095844e-03]\n  [9.9723011e-01 5.9167938e-20 3.5351741e-17 2.7699291e-03]]\n\n ...\n\n [[9.2039198e-01 2.6153521e-06 1.1144173e-05 7.9594240e-02]\n  [9.3381900e-01 9.3489518e-09 9.6660941e-08 6.6180952e-02]\n  [9.4718444e-01 1.2922856e-09 2.0906338e-08 5.2815612e-02]\n  [9.4915152e-01 1.4229917e-09 2.5476004e-08 5.0848454e-02]\n  [9.4889760e-01 1.4458713e-09 2.6244608e-08 5.1102389e-02]]\n\n [[9.2049921e-01 3.6853899e-06 1.5262454e-05 7.9481781e-02]\n  [9.3865126e-01 1.7480007e-08 1.4399582e-07 6.1348647e-02]\n  [9.5018774e-01 2.9179754e-09 3.4508968e-08 4.9812205e-02]\n  [9.5030946e-01 3.1502798e-09 4.1934250e-08 4.9690470e-02]\n  [9.5001644e-01 2.8280771e-09 4.0979199e-08 4.9983539e-02]]\n\n [[8.9586025e-01 7.6051037e-05 2.4313692e-04 1.0382052e-01]\n  [9.4536388e-01 1.8350664e-06 7.3741471e-06 5.4626942e-02]\n  [9.5996612e-01 6.5697344e-07 3.0611784e-06 4.0030185e-02]\n  [9.5902663e-01 7.7170768e-07 3.7694936e-06 4.0968817e-02]\n  [9.5729244e-01 7.8506338e-07 3.9275637e-06 4.2702943e-02]]]\nPredicted mask after argmax for 2008_000119: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000119 has shape: (499, 264)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000119. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000138.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000138: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57635581e-01 6.58081854e-06 1.24996614e-05 4.23453785e-02]\n  [9.74728405e-01 4.57024818e-08 7.82213263e-08 2.52715144e-02]\n  [9.79979515e-01 6.30171249e-09 1.73993548e-08 2.00205129e-02]\n  [9.80393410e-01 3.68522235e-09 1.39213387e-08 1.96066052e-02]\n  [9.82388258e-01 1.45039114e-09 6.66269395e-09 1.76117718e-02]]\n\n [[9.83568788e-01 1.40779015e-08 5.16138066e-08 1.64312068e-02]\n  [9.82232511e-01 2.09115156e-11 8.01094469e-11 1.77675560e-02]\n  [9.78736997e-01 3.69661029e-12 2.86119912e-11 2.12629847e-02]\n  [9.76671576e-01 3.79360519e-12 4.79179335e-11 2.33283993e-02]\n  [9.77983415e-01 1.27696909e-12 2.33975513e-11 2.20166147e-02]]\n\n [[9.92570341e-01 7.41499806e-10 4.17288470e-09 7.42968079e-03]\n  [9.90966439e-01 8.51747600e-13 6.21056678e-12 9.03356168e-03]\n  [9.86966074e-01 2.24894932e-13 5.16943736e-12 1.30339283e-02]\n  [9.81400490e-01 3.69574000e-13 1.53098957e-11 1.85995232e-02]\n  [9.82281029e-01 1.16328266e-13 7.49193936e-12 1.77190546e-02]]\n\n ...\n\n [[9.62822497e-01 3.23167626e-07 1.45867637e-06 3.71757485e-02]\n  [9.54648733e-01 1.73578729e-09 1.31586919e-08 4.53513004e-02]\n  [9.57280099e-01 3.11108111e-10 5.21003329e-09 4.27199677e-02]\n  [9.59414184e-01 2.83537166e-10 6.35628217e-09 4.05857936e-02]\n  [9.61469531e-01 1.97576830e-10 4.94646413e-09 3.85305397e-02]]\n\n [[9.54094648e-01 1.00424586e-06 4.10779876e-06 4.59002778e-02]\n  [9.52445984e-01 6.76954759e-09 4.02437443e-08 4.75540310e-02]\n  [9.60835397e-01 1.44512646e-09 1.70101657e-08 3.91645506e-02]\n  [9.59752798e-01 1.41991308e-09 2.08814743e-08 4.02471982e-02]\n  [9.57098782e-01 1.09353460e-09 1.93893523e-08 4.29011844e-02]]\n\n [[9.24382627e-01 3.62876162e-05 1.16544623e-04 7.54644573e-02]\n  [9.58526611e-01 9.15458770e-07 3.75045693e-06 4.14687321e-02]\n  [9.65931833e-01 4.62240763e-07 2.12207783e-06 3.40656787e-02]\n  [9.65350807e-01 5.59400519e-07 2.87629064e-06 3.46457399e-02]\n  [9.61302817e-01 5.46051695e-07 3.03966590e-06 3.86935361e-02]]]\nPredicted mask after argmax for 2008_000138: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000138 has shape: (466, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000138. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000138.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000138: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57635581e-01 6.58081854e-06 1.24996614e-05 4.23453785e-02]\n  [9.74728405e-01 4.57024818e-08 7.82213263e-08 2.52715144e-02]\n  [9.79979515e-01 6.30171249e-09 1.73993548e-08 2.00205129e-02]\n  [9.80393410e-01 3.68522235e-09 1.39213387e-08 1.96066052e-02]\n  [9.82388258e-01 1.45039114e-09 6.66269395e-09 1.76117718e-02]]\n\n [[9.83568788e-01 1.40779015e-08 5.16138066e-08 1.64312068e-02]\n  [9.82232511e-01 2.09115156e-11 8.01094469e-11 1.77675560e-02]\n  [9.78736997e-01 3.69661029e-12 2.86119912e-11 2.12629847e-02]\n  [9.76671576e-01 3.79360519e-12 4.79179335e-11 2.33283993e-02]\n  [9.77983415e-01 1.27696909e-12 2.33975513e-11 2.20166147e-02]]\n\n [[9.92570341e-01 7.41499806e-10 4.17288470e-09 7.42968079e-03]\n  [9.90966439e-01 8.51747600e-13 6.21056678e-12 9.03356168e-03]\n  [9.86966074e-01 2.24894932e-13 5.16943736e-12 1.30339283e-02]\n  [9.81400490e-01 3.69574000e-13 1.53098957e-11 1.85995232e-02]\n  [9.82281029e-01 1.16328266e-13 7.49193936e-12 1.77190546e-02]]\n\n ...\n\n [[9.62822497e-01 3.23167626e-07 1.45867637e-06 3.71757485e-02]\n  [9.54648733e-01 1.73578729e-09 1.31586919e-08 4.53513004e-02]\n  [9.57280099e-01 3.11108111e-10 5.21003329e-09 4.27199677e-02]\n  [9.59414184e-01 2.83537166e-10 6.35628217e-09 4.05857936e-02]\n  [9.61469531e-01 1.97576830e-10 4.94646413e-09 3.85305397e-02]]\n\n [[9.54094648e-01 1.00424586e-06 4.10779876e-06 4.59002778e-02]\n  [9.52445984e-01 6.76954759e-09 4.02437443e-08 4.75540310e-02]\n  [9.60835397e-01 1.44512646e-09 1.70101657e-08 3.91645506e-02]\n  [9.59752798e-01 1.41991308e-09 2.08814743e-08 4.02471982e-02]\n  [9.57098782e-01 1.09353460e-09 1.93893523e-08 4.29011844e-02]]\n\n [[9.24382627e-01 3.62876162e-05 1.16544623e-04 7.54644573e-02]\n  [9.58526611e-01 9.15458770e-07 3.75045693e-06 4.14687321e-02]\n  [9.65931833e-01 4.62240763e-07 2.12207783e-06 3.40656787e-02]\n  [9.65350807e-01 5.59400519e-07 2.87629064e-06 3.46457399e-02]\n  [9.61302817e-01 5.46051695e-07 3.03966590e-06 3.86935361e-02]]]\nPredicted mask after argmax for 2008_000138: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000138 has shape: (466, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000138. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000138.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000138: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57635581e-01 6.58081854e-06 1.24996614e-05 4.23453785e-02]\n  [9.74728405e-01 4.57024818e-08 7.82213263e-08 2.52715144e-02]\n  [9.79979515e-01 6.30171249e-09 1.73993548e-08 2.00205129e-02]\n  [9.80393410e-01 3.68522235e-09 1.39213387e-08 1.96066052e-02]\n  [9.82388258e-01 1.45039114e-09 6.66269395e-09 1.76117718e-02]]\n\n [[9.83568788e-01 1.40779015e-08 5.16138066e-08 1.64312068e-02]\n  [9.82232511e-01 2.09115156e-11 8.01094469e-11 1.77675560e-02]\n  [9.78736997e-01 3.69661029e-12 2.86119912e-11 2.12629847e-02]\n  [9.76671576e-01 3.79360519e-12 4.79179335e-11 2.33283993e-02]\n  [9.77983415e-01 1.27696909e-12 2.33975513e-11 2.20166147e-02]]\n\n [[9.92570341e-01 7.41499806e-10 4.17288470e-09 7.42968079e-03]\n  [9.90966439e-01 8.51747600e-13 6.21056678e-12 9.03356168e-03]\n  [9.86966074e-01 2.24894932e-13 5.16943736e-12 1.30339283e-02]\n  [9.81400490e-01 3.69574000e-13 1.53098957e-11 1.85995232e-02]\n  [9.82281029e-01 1.16328266e-13 7.49193936e-12 1.77190546e-02]]\n\n ...\n\n [[9.62822497e-01 3.23167626e-07 1.45867637e-06 3.71757485e-02]\n  [9.54648733e-01 1.73578729e-09 1.31586919e-08 4.53513004e-02]\n  [9.57280099e-01 3.11108111e-10 5.21003329e-09 4.27199677e-02]\n  [9.59414184e-01 2.83537166e-10 6.35628217e-09 4.05857936e-02]\n  [9.61469531e-01 1.97576830e-10 4.94646413e-09 3.85305397e-02]]\n\n [[9.54094648e-01 1.00424586e-06 4.10779876e-06 4.59002778e-02]\n  [9.52445984e-01 6.76954759e-09 4.02437443e-08 4.75540310e-02]\n  [9.60835397e-01 1.44512646e-09 1.70101657e-08 3.91645506e-02]\n  [9.59752798e-01 1.41991308e-09 2.08814743e-08 4.02471982e-02]\n  [9.57098782e-01 1.09353460e-09 1.93893523e-08 4.29011844e-02]]\n\n [[9.24382627e-01 3.62876162e-05 1.16544623e-04 7.54644573e-02]\n  [9.58526611e-01 9.15458770e-07 3.75045693e-06 4.14687321e-02]\n  [9.65931833e-01 4.62240763e-07 2.12207783e-06 3.40656787e-02]\n  [9.65350807e-01 5.59400519e-07 2.87629064e-06 3.46457399e-02]\n  [9.61302817e-01 5.46051695e-07 3.03966590e-06 3.86935361e-02]]]\nPredicted mask after argmax for 2008_000138: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000138 has shape: (466, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000138. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000138.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000138: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57635581e-01 6.58081854e-06 1.24996614e-05 4.23453785e-02]\n  [9.74728405e-01 4.57024818e-08 7.82213263e-08 2.52715144e-02]\n  [9.79979515e-01 6.30171249e-09 1.73993548e-08 2.00205129e-02]\n  [9.80393410e-01 3.68522235e-09 1.39213387e-08 1.96066052e-02]\n  [9.82388258e-01 1.45039114e-09 6.66269395e-09 1.76117718e-02]]\n\n [[9.83568788e-01 1.40779015e-08 5.16138066e-08 1.64312068e-02]\n  [9.82232511e-01 2.09115156e-11 8.01094469e-11 1.77675560e-02]\n  [9.78736997e-01 3.69661029e-12 2.86119912e-11 2.12629847e-02]\n  [9.76671576e-01 3.79360519e-12 4.79179335e-11 2.33283993e-02]\n  [9.77983415e-01 1.27696909e-12 2.33975513e-11 2.20166147e-02]]\n\n [[9.92570341e-01 7.41499806e-10 4.17288470e-09 7.42968079e-03]\n  [9.90966439e-01 8.51747600e-13 6.21056678e-12 9.03356168e-03]\n  [9.86966074e-01 2.24894932e-13 5.16943736e-12 1.30339283e-02]\n  [9.81400490e-01 3.69574000e-13 1.53098957e-11 1.85995232e-02]\n  [9.82281029e-01 1.16328266e-13 7.49193936e-12 1.77190546e-02]]\n\n ...\n\n [[9.62822497e-01 3.23167626e-07 1.45867637e-06 3.71757485e-02]\n  [9.54648733e-01 1.73578729e-09 1.31586919e-08 4.53513004e-02]\n  [9.57280099e-01 3.11108111e-10 5.21003329e-09 4.27199677e-02]\n  [9.59414184e-01 2.83537166e-10 6.35628217e-09 4.05857936e-02]\n  [9.61469531e-01 1.97576830e-10 4.94646413e-09 3.85305397e-02]]\n\n [[9.54094648e-01 1.00424586e-06 4.10779876e-06 4.59002778e-02]\n  [9.52445984e-01 6.76954759e-09 4.02437443e-08 4.75540310e-02]\n  [9.60835397e-01 1.44512646e-09 1.70101657e-08 3.91645506e-02]\n  [9.59752798e-01 1.41991308e-09 2.08814743e-08 4.02471982e-02]\n  [9.57098782e-01 1.09353460e-09 1.93893523e-08 4.29011844e-02]]\n\n [[9.24382627e-01 3.62876162e-05 1.16544623e-04 7.54644573e-02]\n  [9.58526611e-01 9.15458770e-07 3.75045693e-06 4.14687321e-02]\n  [9.65931833e-01 4.62240763e-07 2.12207783e-06 3.40656787e-02]\n  [9.65350807e-01 5.59400519e-07 2.87629064e-06 3.46457399e-02]\n  [9.61302817e-01 5.46051695e-07 3.03966590e-06 3.86935361e-02]]]\nPredicted mask after argmax for 2008_000138: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000138 has shape: (466, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000138. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000141.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000141: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69011903e-01 1.06486948e-06 2.33531273e-06 3.09847519e-02]\n  [9.84580398e-01 1.83551174e-09 4.68624917e-09 1.54196890e-02]\n  [9.88774776e-01 1.59696492e-10 6.82216617e-10 1.12252366e-02]\n  [9.88774419e-01 1.35868303e-10 7.26164351e-10 1.12255597e-02]\n  [9.88638341e-01 1.02012482e-10 6.28692043e-10 1.13616232e-02]]\n\n [[9.88670945e-01 9.56148827e-10 4.72159645e-09 1.13290185e-02]\n  [9.89244819e-01 2.86089999e-13 1.84327965e-12 1.07552139e-02]\n  [9.88868713e-01 2.59533944e-14 3.70996121e-13 1.11313267e-02]\n  [9.87457871e-01 4.06321163e-14 8.64740679e-13 1.25420727e-02]\n  [9.86741245e-01 3.16348713e-14 9.14926771e-13 1.32587692e-02]]\n\n [[9.94841099e-01 5.83688375e-11 4.85234075e-10 5.15891099e-03]\n  [9.94418561e-01 1.18843076e-14 1.68403174e-13 5.58141479e-03]\n  [9.92843151e-01 1.52200597e-15 7.00518474e-14 7.15686334e-03]\n  [9.90414441e-01 3.27403751e-15 2.52505590e-13 9.58557520e-03]\n  [9.90124166e-01 2.24250025e-15 2.34029945e-13 9.87590104e-03]]\n\n ...\n\n [[9.25197780e-01 5.50277809e-06 2.00429513e-05 7.47766271e-02]\n  [9.23221409e-01 6.03558732e-08 4.01090034e-07 7.67780095e-02]\n  [9.27076280e-01 1.84573743e-08 1.91482187e-07 7.29235336e-02]\n  [9.28871632e-01 2.45744243e-08 2.95412264e-07 7.11281002e-02]\n  [9.28241014e-01 2.72968794e-08 3.27707681e-07 7.17586502e-02]]\n\n [[9.18107033e-01 1.07532396e-05 3.70223861e-05 8.18452090e-02]\n  [9.23632503e-01 1.42766098e-07 7.78978972e-07 7.63666406e-02]\n  [9.33346272e-01 4.77658801e-08 3.84981433e-07 6.66534528e-02]\n  [9.28887010e-01 6.13735622e-08 5.47994148e-07 7.11122379e-02]\n  [9.27771568e-01 6.15409661e-08 6.08251753e-07 7.22277611e-02]]\n\n [[8.84775877e-01 1.87099402e-04 5.19661582e-04 1.14517316e-01]\n  [9.30055499e-01 9.06376135e-06 3.02240660e-05 6.99050650e-02]\n  [9.41285670e-01 5.31403202e-06 1.95612356e-05 5.86895160e-02]\n  [9.37723696e-01 6.80552330e-06 2.61481418e-05 6.22433759e-02]\n  [9.33065414e-01 7.33208890e-06 2.89039108e-05 6.68983087e-02]]]\nPredicted mask after argmax for 2008_000141: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000141 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000141. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000141.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000141: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69011903e-01 1.06486948e-06 2.33531273e-06 3.09847519e-02]\n  [9.84580398e-01 1.83551174e-09 4.68624917e-09 1.54196890e-02]\n  [9.88774776e-01 1.59696492e-10 6.82216617e-10 1.12252366e-02]\n  [9.88774419e-01 1.35868303e-10 7.26164351e-10 1.12255597e-02]\n  [9.88638341e-01 1.02012482e-10 6.28692043e-10 1.13616232e-02]]\n\n [[9.88670945e-01 9.56148827e-10 4.72159645e-09 1.13290185e-02]\n  [9.89244819e-01 2.86089999e-13 1.84327965e-12 1.07552139e-02]\n  [9.88868713e-01 2.59533944e-14 3.70996121e-13 1.11313267e-02]\n  [9.87457871e-01 4.06321163e-14 8.64740679e-13 1.25420727e-02]\n  [9.86741245e-01 3.16348713e-14 9.14926771e-13 1.32587692e-02]]\n\n [[9.94841099e-01 5.83688375e-11 4.85234075e-10 5.15891099e-03]\n  [9.94418561e-01 1.18843076e-14 1.68403174e-13 5.58141479e-03]\n  [9.92843151e-01 1.52200597e-15 7.00518474e-14 7.15686334e-03]\n  [9.90414441e-01 3.27403751e-15 2.52505590e-13 9.58557520e-03]\n  [9.90124166e-01 2.24250025e-15 2.34029945e-13 9.87590104e-03]]\n\n ...\n\n [[9.25197780e-01 5.50277809e-06 2.00429513e-05 7.47766271e-02]\n  [9.23221409e-01 6.03558732e-08 4.01090034e-07 7.67780095e-02]\n  [9.27076280e-01 1.84573743e-08 1.91482187e-07 7.29235336e-02]\n  [9.28871632e-01 2.45744243e-08 2.95412264e-07 7.11281002e-02]\n  [9.28241014e-01 2.72968794e-08 3.27707681e-07 7.17586502e-02]]\n\n [[9.18107033e-01 1.07532396e-05 3.70223861e-05 8.18452090e-02]\n  [9.23632503e-01 1.42766098e-07 7.78978972e-07 7.63666406e-02]\n  [9.33346272e-01 4.77658801e-08 3.84981433e-07 6.66534528e-02]\n  [9.28887010e-01 6.13735622e-08 5.47994148e-07 7.11122379e-02]\n  [9.27771568e-01 6.15409661e-08 6.08251753e-07 7.22277611e-02]]\n\n [[8.84775877e-01 1.87099402e-04 5.19661582e-04 1.14517316e-01]\n  [9.30055499e-01 9.06376135e-06 3.02240660e-05 6.99050650e-02]\n  [9.41285670e-01 5.31403202e-06 1.95612356e-05 5.86895160e-02]\n  [9.37723696e-01 6.80552330e-06 2.61481418e-05 6.22433759e-02]\n  [9.33065414e-01 7.33208890e-06 2.89039108e-05 6.68983087e-02]]]\nPredicted mask after argmax for 2008_000141: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000141 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000141. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000141.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000141: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69011903e-01 1.06486948e-06 2.33531273e-06 3.09847519e-02]\n  [9.84580398e-01 1.83551174e-09 4.68624917e-09 1.54196890e-02]\n  [9.88774776e-01 1.59696492e-10 6.82216617e-10 1.12252366e-02]\n  [9.88774419e-01 1.35868303e-10 7.26164351e-10 1.12255597e-02]\n  [9.88638341e-01 1.02012482e-10 6.28692043e-10 1.13616232e-02]]\n\n [[9.88670945e-01 9.56148827e-10 4.72159645e-09 1.13290185e-02]\n  [9.89244819e-01 2.86089999e-13 1.84327965e-12 1.07552139e-02]\n  [9.88868713e-01 2.59533944e-14 3.70996121e-13 1.11313267e-02]\n  [9.87457871e-01 4.06321163e-14 8.64740679e-13 1.25420727e-02]\n  [9.86741245e-01 3.16348713e-14 9.14926771e-13 1.32587692e-02]]\n\n [[9.94841099e-01 5.83688375e-11 4.85234075e-10 5.15891099e-03]\n  [9.94418561e-01 1.18843076e-14 1.68403174e-13 5.58141479e-03]\n  [9.92843151e-01 1.52200597e-15 7.00518474e-14 7.15686334e-03]\n  [9.90414441e-01 3.27403751e-15 2.52505590e-13 9.58557520e-03]\n  [9.90124166e-01 2.24250025e-15 2.34029945e-13 9.87590104e-03]]\n\n ...\n\n [[9.25197780e-01 5.50277809e-06 2.00429513e-05 7.47766271e-02]\n  [9.23221409e-01 6.03558732e-08 4.01090034e-07 7.67780095e-02]\n  [9.27076280e-01 1.84573743e-08 1.91482187e-07 7.29235336e-02]\n  [9.28871632e-01 2.45744243e-08 2.95412264e-07 7.11281002e-02]\n  [9.28241014e-01 2.72968794e-08 3.27707681e-07 7.17586502e-02]]\n\n [[9.18107033e-01 1.07532396e-05 3.70223861e-05 8.18452090e-02]\n  [9.23632503e-01 1.42766098e-07 7.78978972e-07 7.63666406e-02]\n  [9.33346272e-01 4.77658801e-08 3.84981433e-07 6.66534528e-02]\n  [9.28887010e-01 6.13735622e-08 5.47994148e-07 7.11122379e-02]\n  [9.27771568e-01 6.15409661e-08 6.08251753e-07 7.22277611e-02]]\n\n [[8.84775877e-01 1.87099402e-04 5.19661582e-04 1.14517316e-01]\n  [9.30055499e-01 9.06376135e-06 3.02240660e-05 6.99050650e-02]\n  [9.41285670e-01 5.31403202e-06 1.95612356e-05 5.86895160e-02]\n  [9.37723696e-01 6.80552330e-06 2.61481418e-05 6.22433759e-02]\n  [9.33065414e-01 7.33208890e-06 2.89039108e-05 6.68983087e-02]]]\nPredicted mask after argmax for 2008_000141: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000141 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000141. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000142.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000142: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99843001e-01 6.40350079e-16 4.77134930e-15 1.56956012e-04]\n  [9.99987960e-01 1.22914287e-23 7.81341862e-23 1.20025607e-05]\n  [9.99997377e-01 9.44723430e-28 1.79622118e-26 2.63947049e-06]\n  [9.99998689e-01 8.94825270e-30 3.84220400e-28 1.26087650e-06]\n  [9.99999523e-01 9.17955352e-32 6.08869737e-30 5.29443525e-07]]\n\n [[9.99983788e-01 2.99658060e-23 1.31386331e-21 1.62166907e-05]\n  [9.99992013e-01 3.63484857e-33 2.39250340e-31 7.98819838e-06]\n  [9.99993443e-01 2.32839237e-37 8.91659646e-35 6.60204614e-06]\n  [9.99994993e-01 6.40452113e-39 9.80789252e-36 5.05042317e-06]\n  [9.99996901e-01 3.59068718e-41 1.52291862e-37 3.14453405e-06]]\n\n [[9.99998450e-01 1.36516062e-26 2.22713084e-24 1.57764578e-06]\n  [9.99999046e-01 7.47449641e-37 4.27876178e-34 1.00165482e-06]\n  [9.99998212e-01 1.46076957e-40 2.02379443e-36 1.79084452e-06]\n  [9.99997616e-01 1.09441410e-41 1.17568645e-36 2.33216360e-06]\n  [9.99998450e-01 4.90454463e-44 2.29196321e-38 1.55058490e-06]]\n\n ...\n\n [[9.25593853e-01 9.12834184e-06 3.09642346e-05 7.43659660e-02]\n  [9.16789174e-01 1.75666287e-07 9.19428828e-07 8.32097307e-02]\n  [9.20105040e-01 6.85302197e-08 5.85212490e-07 7.98942819e-02]\n  [9.18024421e-01 1.01757649e-07 9.95872142e-07 8.19744170e-02]\n  [9.15625036e-01 1.22882753e-07 1.19008087e-06 8.43735710e-02]]\n\n [[9.10799265e-01 2.50425583e-05 7.77149544e-05 8.90979320e-02]\n  [9.09897685e-01 6.12131828e-07 2.65094059e-06 9.00990590e-02]\n  [9.20512378e-01 2.61536314e-07 1.71397335e-06 7.94856697e-02]\n  [9.14884388e-01 3.62409594e-07 2.61927676e-06 8.51126388e-02]\n  [9.07553554e-01 4.15726191e-07 3.24831058e-06 9.24427956e-02]]\n\n [[8.70011449e-01 4.07111220e-04 1.02502364e-03 1.28556415e-01]\n  [9.12546754e-01 3.12552293e-05 9.19428494e-05 8.73301253e-02]\n  [9.22395825e-01 2.27552500e-05 7.27568258e-05 7.75086656e-02]\n  [9.16386664e-01 3.10205214e-05 1.02656071e-04 8.34796578e-02]\n  [9.06583905e-01 3.65826199e-05 1.23573307e-04 9.32560265e-02]]]\nPredicted mask after argmax for 2008_000142: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000142 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000142. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000142.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000142: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99843001e-01 6.40350079e-16 4.77134930e-15 1.56956012e-04]\n  [9.99987960e-01 1.22914287e-23 7.81341862e-23 1.20025607e-05]\n  [9.99997377e-01 9.44723430e-28 1.79622118e-26 2.63947049e-06]\n  [9.99998689e-01 8.94825270e-30 3.84220400e-28 1.26087650e-06]\n  [9.99999523e-01 9.17955352e-32 6.08869737e-30 5.29443525e-07]]\n\n [[9.99983788e-01 2.99658060e-23 1.31386331e-21 1.62166907e-05]\n  [9.99992013e-01 3.63484857e-33 2.39250340e-31 7.98819838e-06]\n  [9.99993443e-01 2.32839237e-37 8.91659646e-35 6.60204614e-06]\n  [9.99994993e-01 6.40452113e-39 9.80789252e-36 5.05042317e-06]\n  [9.99996901e-01 3.59068718e-41 1.52291862e-37 3.14453405e-06]]\n\n [[9.99998450e-01 1.36516062e-26 2.22713084e-24 1.57764578e-06]\n  [9.99999046e-01 7.47449641e-37 4.27876178e-34 1.00165482e-06]\n  [9.99998212e-01 1.46076957e-40 2.02379443e-36 1.79084452e-06]\n  [9.99997616e-01 1.09441410e-41 1.17568645e-36 2.33216360e-06]\n  [9.99998450e-01 4.90454463e-44 2.29196321e-38 1.55058490e-06]]\n\n ...\n\n [[9.25593853e-01 9.12834184e-06 3.09642346e-05 7.43659660e-02]\n  [9.16789174e-01 1.75666287e-07 9.19428828e-07 8.32097307e-02]\n  [9.20105040e-01 6.85302197e-08 5.85212490e-07 7.98942819e-02]\n  [9.18024421e-01 1.01757649e-07 9.95872142e-07 8.19744170e-02]\n  [9.15625036e-01 1.22882753e-07 1.19008087e-06 8.43735710e-02]]\n\n [[9.10799265e-01 2.50425583e-05 7.77149544e-05 8.90979320e-02]\n  [9.09897685e-01 6.12131828e-07 2.65094059e-06 9.00990590e-02]\n  [9.20512378e-01 2.61536314e-07 1.71397335e-06 7.94856697e-02]\n  [9.14884388e-01 3.62409594e-07 2.61927676e-06 8.51126388e-02]\n  [9.07553554e-01 4.15726191e-07 3.24831058e-06 9.24427956e-02]]\n\n [[8.70011449e-01 4.07111220e-04 1.02502364e-03 1.28556415e-01]\n  [9.12546754e-01 3.12552293e-05 9.19428494e-05 8.73301253e-02]\n  [9.22395825e-01 2.27552500e-05 7.27568258e-05 7.75086656e-02]\n  [9.16386664e-01 3.10205214e-05 1.02656071e-04 8.34796578e-02]\n  [9.06583905e-01 3.65826199e-05 1.23573307e-04 9.32560265e-02]]]\nPredicted mask after argmax for 2008_000142: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000142 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000142. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000142.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000142: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99843001e-01 6.40350079e-16 4.77134930e-15 1.56956012e-04]\n  [9.99987960e-01 1.22914287e-23 7.81341862e-23 1.20025607e-05]\n  [9.99997377e-01 9.44723430e-28 1.79622118e-26 2.63947049e-06]\n  [9.99998689e-01 8.94825270e-30 3.84220400e-28 1.26087650e-06]\n  [9.99999523e-01 9.17955352e-32 6.08869737e-30 5.29443525e-07]]\n\n [[9.99983788e-01 2.99658060e-23 1.31386331e-21 1.62166907e-05]\n  [9.99992013e-01 3.63484857e-33 2.39250340e-31 7.98819838e-06]\n  [9.99993443e-01 2.32839237e-37 8.91659646e-35 6.60204614e-06]\n  [9.99994993e-01 6.40452113e-39 9.80789252e-36 5.05042317e-06]\n  [9.99996901e-01 3.59068718e-41 1.52291862e-37 3.14453405e-06]]\n\n [[9.99998450e-01 1.36516062e-26 2.22713084e-24 1.57764578e-06]\n  [9.99999046e-01 7.47449641e-37 4.27876178e-34 1.00165482e-06]\n  [9.99998212e-01 1.46076957e-40 2.02379443e-36 1.79084452e-06]\n  [9.99997616e-01 1.09441410e-41 1.17568645e-36 2.33216360e-06]\n  [9.99998450e-01 4.90454463e-44 2.29196321e-38 1.55058490e-06]]\n\n ...\n\n [[9.25593853e-01 9.12834184e-06 3.09642346e-05 7.43659660e-02]\n  [9.16789174e-01 1.75666287e-07 9.19428828e-07 8.32097307e-02]\n  [9.20105040e-01 6.85302197e-08 5.85212490e-07 7.98942819e-02]\n  [9.18024421e-01 1.01757649e-07 9.95872142e-07 8.19744170e-02]\n  [9.15625036e-01 1.22882753e-07 1.19008087e-06 8.43735710e-02]]\n\n [[9.10799265e-01 2.50425583e-05 7.77149544e-05 8.90979320e-02]\n  [9.09897685e-01 6.12131828e-07 2.65094059e-06 9.00990590e-02]\n  [9.20512378e-01 2.61536314e-07 1.71397335e-06 7.94856697e-02]\n  [9.14884388e-01 3.62409594e-07 2.61927676e-06 8.51126388e-02]\n  [9.07553554e-01 4.15726191e-07 3.24831058e-06 9.24427956e-02]]\n\n [[8.70011449e-01 4.07111220e-04 1.02502364e-03 1.28556415e-01]\n  [9.12546754e-01 3.12552293e-05 9.19428494e-05 8.73301253e-02]\n  [9.22395825e-01 2.27552500e-05 7.27568258e-05 7.75086656e-02]\n  [9.16386664e-01 3.10205214e-05 1.02656071e-04 8.34796578e-02]\n  [9.06583905e-01 3.65826199e-05 1.23573307e-04 9.32560265e-02]]]\nPredicted mask after argmax for 2008_000142: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000142 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000142. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000142.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000142: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99843001e-01 6.40350079e-16 4.77134930e-15 1.56956012e-04]\n  [9.99987960e-01 1.22914287e-23 7.81341862e-23 1.20025607e-05]\n  [9.99997377e-01 9.44723430e-28 1.79622118e-26 2.63947049e-06]\n  [9.99998689e-01 8.94825270e-30 3.84220400e-28 1.26087650e-06]\n  [9.99999523e-01 9.17955352e-32 6.08869737e-30 5.29443525e-07]]\n\n [[9.99983788e-01 2.99658060e-23 1.31386331e-21 1.62166907e-05]\n  [9.99992013e-01 3.63484857e-33 2.39250340e-31 7.98819838e-06]\n  [9.99993443e-01 2.32839237e-37 8.91659646e-35 6.60204614e-06]\n  [9.99994993e-01 6.40452113e-39 9.80789252e-36 5.05042317e-06]\n  [9.99996901e-01 3.59068718e-41 1.52291862e-37 3.14453405e-06]]\n\n [[9.99998450e-01 1.36516062e-26 2.22713084e-24 1.57764578e-06]\n  [9.99999046e-01 7.47449641e-37 4.27876178e-34 1.00165482e-06]\n  [9.99998212e-01 1.46076957e-40 2.02379443e-36 1.79084452e-06]\n  [9.99997616e-01 1.09441410e-41 1.17568645e-36 2.33216360e-06]\n  [9.99998450e-01 4.90454463e-44 2.29196321e-38 1.55058490e-06]]\n\n ...\n\n [[9.25593853e-01 9.12834184e-06 3.09642346e-05 7.43659660e-02]\n  [9.16789174e-01 1.75666287e-07 9.19428828e-07 8.32097307e-02]\n  [9.20105040e-01 6.85302197e-08 5.85212490e-07 7.98942819e-02]\n  [9.18024421e-01 1.01757649e-07 9.95872142e-07 8.19744170e-02]\n  [9.15625036e-01 1.22882753e-07 1.19008087e-06 8.43735710e-02]]\n\n [[9.10799265e-01 2.50425583e-05 7.77149544e-05 8.90979320e-02]\n  [9.09897685e-01 6.12131828e-07 2.65094059e-06 9.00990590e-02]\n  [9.20512378e-01 2.61536314e-07 1.71397335e-06 7.94856697e-02]\n  [9.14884388e-01 3.62409594e-07 2.61927676e-06 8.51126388e-02]\n  [9.07553554e-01 4.15726191e-07 3.24831058e-06 9.24427956e-02]]\n\n [[8.70011449e-01 4.07111220e-04 1.02502364e-03 1.28556415e-01]\n  [9.12546754e-01 3.12552293e-05 9.19428494e-05 8.73301253e-02]\n  [9.22395825e-01 2.27552500e-05 7.27568258e-05 7.75086656e-02]\n  [9.16386664e-01 3.10205214e-05 1.02656071e-04 8.34796578e-02]\n  [9.06583905e-01 3.65826199e-05 1.23573307e-04 9.32560265e-02]]]\nPredicted mask after argmax for 2008_000142: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000142 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000142. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000162.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000162: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53065753e-01 1.01395417e-05 1.87268397e-05 4.69053872e-02]\n  [9.71242726e-01 8.69602559e-08 1.46752228e-07 2.87569705e-02]\n  [9.76669669e-01 1.45554138e-08 3.85269985e-08 2.33303141e-02]\n  [9.76246536e-01 1.08656879e-08 3.81911640e-08 2.37535350e-02]\n  [9.76816177e-01 6.33957820e-09 2.62959237e-08 2.31838431e-02]]\n\n [[9.81083691e-01 2.75589702e-08 9.53343573e-08 1.89161673e-02]\n  [9.79359984e-01 5.60828016e-11 2.02740019e-10 2.06400733e-02]\n  [9.74898219e-01 1.29929375e-11 8.93100177e-11 2.51018163e-02]\n  [9.71190989e-01 1.84201630e-11 1.98374914e-10 2.88089626e-02]\n  [9.70494747e-01 1.04261391e-11 1.56055613e-10 2.95052733e-02]]\n\n [[9.91139114e-01 1.67737724e-09 8.73779893e-09 8.86085816e-03]\n  [9.89172578e-01 2.67560388e-12 1.79672058e-11 1.08274017e-02]\n  [9.84296978e-01 9.23964681e-13 1.81222364e-11 1.57030597e-02]\n  [9.76574063e-01 2.00036602e-12 6.64807376e-11 2.34260000e-02]\n  [9.76364672e-01 9.59918993e-13 4.62920847e-11 2.36353613e-02]]\n\n ...\n\n [[9.06459272e-01 2.65442559e-05 8.21798967e-05 9.34319571e-02]\n  [9.02334630e-01 6.50235222e-07 3.09497727e-06 9.76615921e-02]\n  [9.04671133e-01 2.59104070e-07 1.88666536e-06 9.53268185e-02]\n  [9.06652093e-01 3.03831428e-07 2.54308111e-06 9.33450311e-02]\n  [9.06695783e-01 3.08187140e-07 2.60383922e-06 9.33012962e-02]]\n\n [[8.92174482e-01 6.03636254e-05 1.75238718e-04 1.07589900e-01]\n  [8.96678329e-01 1.74732418e-06 7.16603063e-06 1.03312753e-01]\n  [9.07249093e-01 6.99138013e-07 4.13569751e-06 9.27462280e-02]\n  [9.02944088e-01 7.80316498e-07 5.09171059e-06 9.70500857e-02]\n  [9.01414752e-01 7.60967623e-07 5.48667458e-06 9.85789895e-02]]\n\n [[8.49517107e-01 7.60706258e-04 1.79954199e-03 1.47922501e-01]\n  [8.95845413e-01 6.88083965e-05 1.88827500e-04 1.03896946e-01]\n  [9.08340216e-01 4.45078404e-05 1.35417562e-04 9.14798304e-02]\n  [9.03286159e-01 5.12692786e-05 1.62569151e-04 9.65000391e-02]\n  [8.96379471e-01 5.43793540e-05 1.76689209e-04 1.03389375e-01]]]\nPredicted mask after argmax for 2008_000162: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000162 has shape: (500, 494)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000162. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000162.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000162: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53065753e-01 1.01395417e-05 1.87268397e-05 4.69053872e-02]\n  [9.71242726e-01 8.69602559e-08 1.46752228e-07 2.87569705e-02]\n  [9.76669669e-01 1.45554138e-08 3.85269985e-08 2.33303141e-02]\n  [9.76246536e-01 1.08656879e-08 3.81911640e-08 2.37535350e-02]\n  [9.76816177e-01 6.33957820e-09 2.62959237e-08 2.31838431e-02]]\n\n [[9.81083691e-01 2.75589702e-08 9.53343573e-08 1.89161673e-02]\n  [9.79359984e-01 5.60828016e-11 2.02740019e-10 2.06400733e-02]\n  [9.74898219e-01 1.29929375e-11 8.93100177e-11 2.51018163e-02]\n  [9.71190989e-01 1.84201630e-11 1.98374914e-10 2.88089626e-02]\n  [9.70494747e-01 1.04261391e-11 1.56055613e-10 2.95052733e-02]]\n\n [[9.91139114e-01 1.67737724e-09 8.73779893e-09 8.86085816e-03]\n  [9.89172578e-01 2.67560388e-12 1.79672058e-11 1.08274017e-02]\n  [9.84296978e-01 9.23964681e-13 1.81222364e-11 1.57030597e-02]\n  [9.76574063e-01 2.00036602e-12 6.64807376e-11 2.34260000e-02]\n  [9.76364672e-01 9.59918993e-13 4.62920847e-11 2.36353613e-02]]\n\n ...\n\n [[9.06459272e-01 2.65442559e-05 8.21798967e-05 9.34319571e-02]\n  [9.02334630e-01 6.50235222e-07 3.09497727e-06 9.76615921e-02]\n  [9.04671133e-01 2.59104070e-07 1.88666536e-06 9.53268185e-02]\n  [9.06652093e-01 3.03831428e-07 2.54308111e-06 9.33450311e-02]\n  [9.06695783e-01 3.08187140e-07 2.60383922e-06 9.33012962e-02]]\n\n [[8.92174482e-01 6.03636254e-05 1.75238718e-04 1.07589900e-01]\n  [8.96678329e-01 1.74732418e-06 7.16603063e-06 1.03312753e-01]\n  [9.07249093e-01 6.99138013e-07 4.13569751e-06 9.27462280e-02]\n  [9.02944088e-01 7.80316498e-07 5.09171059e-06 9.70500857e-02]\n  [9.01414752e-01 7.60967623e-07 5.48667458e-06 9.85789895e-02]]\n\n [[8.49517107e-01 7.60706258e-04 1.79954199e-03 1.47922501e-01]\n  [8.95845413e-01 6.88083965e-05 1.88827500e-04 1.03896946e-01]\n  [9.08340216e-01 4.45078404e-05 1.35417562e-04 9.14798304e-02]\n  [9.03286159e-01 5.12692786e-05 1.62569151e-04 9.65000391e-02]\n  [8.96379471e-01 5.43793540e-05 1.76689209e-04 1.03389375e-01]]]\nPredicted mask after argmax for 2008_000162: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000162 has shape: (500, 494)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000162. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000162.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000162: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53065753e-01 1.01395417e-05 1.87268397e-05 4.69053872e-02]\n  [9.71242726e-01 8.69602559e-08 1.46752228e-07 2.87569705e-02]\n  [9.76669669e-01 1.45554138e-08 3.85269985e-08 2.33303141e-02]\n  [9.76246536e-01 1.08656879e-08 3.81911640e-08 2.37535350e-02]\n  [9.76816177e-01 6.33957820e-09 2.62959237e-08 2.31838431e-02]]\n\n [[9.81083691e-01 2.75589702e-08 9.53343573e-08 1.89161673e-02]\n  [9.79359984e-01 5.60828016e-11 2.02740019e-10 2.06400733e-02]\n  [9.74898219e-01 1.29929375e-11 8.93100177e-11 2.51018163e-02]\n  [9.71190989e-01 1.84201630e-11 1.98374914e-10 2.88089626e-02]\n  [9.70494747e-01 1.04261391e-11 1.56055613e-10 2.95052733e-02]]\n\n [[9.91139114e-01 1.67737724e-09 8.73779893e-09 8.86085816e-03]\n  [9.89172578e-01 2.67560388e-12 1.79672058e-11 1.08274017e-02]\n  [9.84296978e-01 9.23964681e-13 1.81222364e-11 1.57030597e-02]\n  [9.76574063e-01 2.00036602e-12 6.64807376e-11 2.34260000e-02]\n  [9.76364672e-01 9.59918993e-13 4.62920847e-11 2.36353613e-02]]\n\n ...\n\n [[9.06459272e-01 2.65442559e-05 8.21798967e-05 9.34319571e-02]\n  [9.02334630e-01 6.50235222e-07 3.09497727e-06 9.76615921e-02]\n  [9.04671133e-01 2.59104070e-07 1.88666536e-06 9.53268185e-02]\n  [9.06652093e-01 3.03831428e-07 2.54308111e-06 9.33450311e-02]\n  [9.06695783e-01 3.08187140e-07 2.60383922e-06 9.33012962e-02]]\n\n [[8.92174482e-01 6.03636254e-05 1.75238718e-04 1.07589900e-01]\n  [8.96678329e-01 1.74732418e-06 7.16603063e-06 1.03312753e-01]\n  [9.07249093e-01 6.99138013e-07 4.13569751e-06 9.27462280e-02]\n  [9.02944088e-01 7.80316498e-07 5.09171059e-06 9.70500857e-02]\n  [9.01414752e-01 7.60967623e-07 5.48667458e-06 9.85789895e-02]]\n\n [[8.49517107e-01 7.60706258e-04 1.79954199e-03 1.47922501e-01]\n  [8.95845413e-01 6.88083965e-05 1.88827500e-04 1.03896946e-01]\n  [9.08340216e-01 4.45078404e-05 1.35417562e-04 9.14798304e-02]\n  [9.03286159e-01 5.12692786e-05 1.62569151e-04 9.65000391e-02]\n  [8.96379471e-01 5.43793540e-05 1.76689209e-04 1.03389375e-01]]]\nPredicted mask after argmax for 2008_000162: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000162 has shape: (500, 494)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000162. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000177.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000177: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7952509e-01 3.4837518e-07 7.7368730e-07 2.0473713e-02]\n  [9.9051416e-01 5.0414006e-10 9.5216968e-10 9.4858753e-03]\n  [9.9369580e-01 2.4346147e-11 8.0519119e-11 6.3042399e-03]\n  [9.9469936e-01 5.8258168e-12 2.9250290e-11 5.3005950e-03]\n  [9.9598038e-01 9.9928150e-13 6.5211690e-12 4.0196269e-03]]\n\n [[9.9363267e-01 1.5130450e-10 7.6395246e-10 6.3672494e-03]\n  [9.9345136e-01 2.7095730e-14 1.4825679e-13 6.5485951e-03]\n  [9.9231076e-01 1.4550610e-15 1.8786705e-14 7.6892627e-03]\n  [9.9240655e-01 5.9897252e-16 1.5272394e-14 7.5935167e-03]\n  [9.9352348e-01 7.5552401e-17 3.1710387e-15 6.4764456e-03]]\n\n [[9.9779594e-01 3.1986753e-12 2.7671528e-11 2.2041125e-03]\n  [9.9739707e-01 3.8735312e-16 4.8998184e-15 2.6029600e-03]\n  [9.9614811e-01 3.2698933e-17 1.8503464e-15 3.8518854e-03]\n  [9.9506378e-01 2.4350865e-17 3.1786457e-15 4.9361507e-03]\n  [9.9561274e-01 3.0864739e-18 7.5749733e-16 4.3872660e-03]]\n\n ...\n\n [[9.7915018e-01 2.2970527e-08 1.3484355e-07 2.0849727e-02]\n  [9.7231233e-01 5.6324379e-11 5.6248828e-10 2.7687678e-02]\n  [9.7415304e-01 7.9382299e-12 2.1411004e-10 2.5846954e-02]\n  [9.7499043e-01 6.3168542e-12 2.4529745e-10 2.5009563e-02]\n  [9.7719222e-01 3.2521689e-12 1.5049821e-10 2.2807719e-02]]\n\n [[9.7034901e-01 1.2857480e-07 6.4790061e-07 2.9650219e-02]\n  [9.6814507e-01 4.5643359e-10 3.3730128e-09 3.1854969e-02]\n  [9.7431582e-01 7.4657003e-11 1.2908365e-09 2.5684107e-02]\n  [9.7339225e-01 6.2080903e-11 1.4419197e-09 2.6607702e-02]\n  [9.7269630e-01 3.5602094e-11 1.0981815e-09 2.7303632e-02]]\n\n [[9.4401449e-01 1.0003328e-05 3.7896054e-05 5.5937551e-02]\n  [9.7019124e-01 1.6512394e-07 8.0861361e-07 2.9807869e-02]\n  [9.7585833e-01 7.6922063e-08 4.3674925e-07 2.4141043e-02]\n  [9.7553366e-01 8.5488736e-08 5.7247615e-07 2.4465663e-02]\n  [9.7195292e-01 7.3013965e-08 5.5438062e-07 2.8046314e-02]]]\nPredicted mask after argmax for 2008_000177: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000177 has shape: (500, 457)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000177. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000177.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000177: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7952509e-01 3.4837518e-07 7.7368730e-07 2.0473713e-02]\n  [9.9051416e-01 5.0414006e-10 9.5216968e-10 9.4858753e-03]\n  [9.9369580e-01 2.4346147e-11 8.0519119e-11 6.3042399e-03]\n  [9.9469936e-01 5.8258168e-12 2.9250290e-11 5.3005950e-03]\n  [9.9598038e-01 9.9928150e-13 6.5211690e-12 4.0196269e-03]]\n\n [[9.9363267e-01 1.5130450e-10 7.6395246e-10 6.3672494e-03]\n  [9.9345136e-01 2.7095730e-14 1.4825679e-13 6.5485951e-03]\n  [9.9231076e-01 1.4550610e-15 1.8786705e-14 7.6892627e-03]\n  [9.9240655e-01 5.9897252e-16 1.5272394e-14 7.5935167e-03]\n  [9.9352348e-01 7.5552401e-17 3.1710387e-15 6.4764456e-03]]\n\n [[9.9779594e-01 3.1986753e-12 2.7671528e-11 2.2041125e-03]\n  [9.9739707e-01 3.8735312e-16 4.8998184e-15 2.6029600e-03]\n  [9.9614811e-01 3.2698933e-17 1.8503464e-15 3.8518854e-03]\n  [9.9506378e-01 2.4350865e-17 3.1786457e-15 4.9361507e-03]\n  [9.9561274e-01 3.0864739e-18 7.5749733e-16 4.3872660e-03]]\n\n ...\n\n [[9.7915018e-01 2.2970527e-08 1.3484355e-07 2.0849727e-02]\n  [9.7231233e-01 5.6324379e-11 5.6248828e-10 2.7687678e-02]\n  [9.7415304e-01 7.9382299e-12 2.1411004e-10 2.5846954e-02]\n  [9.7499043e-01 6.3168542e-12 2.4529745e-10 2.5009563e-02]\n  [9.7719222e-01 3.2521689e-12 1.5049821e-10 2.2807719e-02]]\n\n [[9.7034901e-01 1.2857480e-07 6.4790061e-07 2.9650219e-02]\n  [9.6814507e-01 4.5643359e-10 3.3730128e-09 3.1854969e-02]\n  [9.7431582e-01 7.4657003e-11 1.2908365e-09 2.5684107e-02]\n  [9.7339225e-01 6.2080903e-11 1.4419197e-09 2.6607702e-02]\n  [9.7269630e-01 3.5602094e-11 1.0981815e-09 2.7303632e-02]]\n\n [[9.4401449e-01 1.0003328e-05 3.7896054e-05 5.5937551e-02]\n  [9.7019124e-01 1.6512394e-07 8.0861361e-07 2.9807869e-02]\n  [9.7585833e-01 7.6922063e-08 4.3674925e-07 2.4141043e-02]\n  [9.7553366e-01 8.5488736e-08 5.7247615e-07 2.4465663e-02]\n  [9.7195292e-01 7.3013965e-08 5.5438062e-07 2.8046314e-02]]]\nPredicted mask after argmax for 2008_000177: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000177 has shape: (500, 457)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000177. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000181.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000181: (1, 256, 256, 4)\nSome predicted mask values: [[[9.88376558e-01 3.55695846e-08 8.92522181e-08 1.16233472e-02]\n  [9.95368779e-01 1.88994861e-11 3.89939470e-11 4.63117100e-03]\n  [9.96991515e-01 7.11326560e-13 2.72902035e-12 3.00847925e-03]\n  [9.97315824e-01 2.04175313e-13 1.25113570e-12 2.68411613e-03]\n  [9.97861564e-01 4.08423702e-14 3.25319090e-13 2.13840348e-03]]\n\n [[9.96928275e-01 5.86722728e-12 3.59080959e-11 3.07171559e-03]\n  [9.96923029e-01 3.18937339e-16 2.03942897e-15 3.07690213e-03]\n  [9.96043503e-01 1.80030748e-17 2.88518215e-16 3.95644037e-03]\n  [9.95744765e-01 1.17447297e-17 3.89144274e-16 4.25520120e-03]\n  [9.96190667e-01 1.97211046e-18 1.10991961e-16 3.80929722e-03]]\n\n [[9.99069095e-01 8.44484666e-14 9.43378622e-13 9.30828101e-04]\n  [9.98944461e-01 3.12860077e-18 5.13633963e-17 1.05560839e-03]\n  [9.98220623e-01 3.10100913e-19 2.61960523e-17 1.77931262e-03]\n  [9.97092485e-01 4.33478339e-19 8.93582966e-17 2.90754926e-03]\n  [9.97282982e-01 7.05338007e-20 2.92300118e-17 2.71705980e-03]]\n\n ...\n\n [[9.18588877e-01 4.22883750e-06 1.72550135e-05 8.13895240e-02]\n  [9.33869720e-01 1.98532639e-08 1.74440245e-07 6.61300346e-02]\n  [9.44346786e-01 2.93540947e-09 4.19591331e-08 5.56531996e-02]\n  [9.49123085e-01 2.52363219e-09 4.06924769e-08 5.08769602e-02]\n  [9.50931728e-01 2.18224838e-09 3.64183208e-08 4.90682982e-02]]\n\n [[9.09503758e-01 9.55880205e-06 3.71226452e-05 9.04496163e-02]\n  [9.28394496e-01 7.14364319e-08 4.89296156e-07 7.16049597e-02]\n  [9.40324962e-01 1.43206655e-08 1.43737623e-07 5.96749261e-02]\n  [9.42212224e-01 1.25038699e-08 1.45597156e-07 5.77876605e-02]\n  [9.43431914e-01 1.03708420e-08 1.34751247e-07 5.65679073e-02]]\n\n [[8.75924051e-01 2.04202384e-04 6.01172389e-04 1.23270616e-01]\n  [9.26719964e-01 8.29054989e-06 2.98123978e-05 7.32419491e-02]\n  [9.42213595e-01 3.39816711e-06 1.43125217e-05 5.77687472e-02]\n  [9.41493452e-01 3.59593696e-06 1.60103991e-05 5.84868975e-02]\n  [9.39559162e-01 3.50605569e-06 1.61456464e-05 6.04212694e-02]]]\nPredicted mask after argmax for 2008_000181: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000181 has shape: (348, 486)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000181. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000181.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000181: (1, 256, 256, 4)\nSome predicted mask values: [[[9.88376558e-01 3.55695846e-08 8.92522181e-08 1.16233472e-02]\n  [9.95368779e-01 1.88994861e-11 3.89939470e-11 4.63117100e-03]\n  [9.96991515e-01 7.11326560e-13 2.72902035e-12 3.00847925e-03]\n  [9.97315824e-01 2.04175313e-13 1.25113570e-12 2.68411613e-03]\n  [9.97861564e-01 4.08423702e-14 3.25319090e-13 2.13840348e-03]]\n\n [[9.96928275e-01 5.86722728e-12 3.59080959e-11 3.07171559e-03]\n  [9.96923029e-01 3.18937339e-16 2.03942897e-15 3.07690213e-03]\n  [9.96043503e-01 1.80030748e-17 2.88518215e-16 3.95644037e-03]\n  [9.95744765e-01 1.17447297e-17 3.89144274e-16 4.25520120e-03]\n  [9.96190667e-01 1.97211046e-18 1.10991961e-16 3.80929722e-03]]\n\n [[9.99069095e-01 8.44484666e-14 9.43378622e-13 9.30828101e-04]\n  [9.98944461e-01 3.12860077e-18 5.13633963e-17 1.05560839e-03]\n  [9.98220623e-01 3.10100913e-19 2.61960523e-17 1.77931262e-03]\n  [9.97092485e-01 4.33478339e-19 8.93582966e-17 2.90754926e-03]\n  [9.97282982e-01 7.05338007e-20 2.92300118e-17 2.71705980e-03]]\n\n ...\n\n [[9.18588877e-01 4.22883750e-06 1.72550135e-05 8.13895240e-02]\n  [9.33869720e-01 1.98532639e-08 1.74440245e-07 6.61300346e-02]\n  [9.44346786e-01 2.93540947e-09 4.19591331e-08 5.56531996e-02]\n  [9.49123085e-01 2.52363219e-09 4.06924769e-08 5.08769602e-02]\n  [9.50931728e-01 2.18224838e-09 3.64183208e-08 4.90682982e-02]]\n\n [[9.09503758e-01 9.55880205e-06 3.71226452e-05 9.04496163e-02]\n  [9.28394496e-01 7.14364319e-08 4.89296156e-07 7.16049597e-02]\n  [9.40324962e-01 1.43206655e-08 1.43737623e-07 5.96749261e-02]\n  [9.42212224e-01 1.25038699e-08 1.45597156e-07 5.77876605e-02]\n  [9.43431914e-01 1.03708420e-08 1.34751247e-07 5.65679073e-02]]\n\n [[8.75924051e-01 2.04202384e-04 6.01172389e-04 1.23270616e-01]\n  [9.26719964e-01 8.29054989e-06 2.98123978e-05 7.32419491e-02]\n  [9.42213595e-01 3.39816711e-06 1.43125217e-05 5.77687472e-02]\n  [9.41493452e-01 3.59593696e-06 1.60103991e-05 5.84868975e-02]\n  [9.39559162e-01 3.50605569e-06 1.61456464e-05 6.04212694e-02]]]\nPredicted mask after argmax for 2008_000181: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000181 has shape: (348, 486)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000181. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000181.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000181: (1, 256, 256, 4)\nSome predicted mask values: [[[9.88376558e-01 3.55695846e-08 8.92522181e-08 1.16233472e-02]\n  [9.95368779e-01 1.88994861e-11 3.89939470e-11 4.63117100e-03]\n  [9.96991515e-01 7.11326560e-13 2.72902035e-12 3.00847925e-03]\n  [9.97315824e-01 2.04175313e-13 1.25113570e-12 2.68411613e-03]\n  [9.97861564e-01 4.08423702e-14 3.25319090e-13 2.13840348e-03]]\n\n [[9.96928275e-01 5.86722728e-12 3.59080959e-11 3.07171559e-03]\n  [9.96923029e-01 3.18937339e-16 2.03942897e-15 3.07690213e-03]\n  [9.96043503e-01 1.80030748e-17 2.88518215e-16 3.95644037e-03]\n  [9.95744765e-01 1.17447297e-17 3.89144274e-16 4.25520120e-03]\n  [9.96190667e-01 1.97211046e-18 1.10991961e-16 3.80929722e-03]]\n\n [[9.99069095e-01 8.44484666e-14 9.43378622e-13 9.30828101e-04]\n  [9.98944461e-01 3.12860077e-18 5.13633963e-17 1.05560839e-03]\n  [9.98220623e-01 3.10100913e-19 2.61960523e-17 1.77931262e-03]\n  [9.97092485e-01 4.33478339e-19 8.93582966e-17 2.90754926e-03]\n  [9.97282982e-01 7.05338007e-20 2.92300118e-17 2.71705980e-03]]\n\n ...\n\n [[9.18588877e-01 4.22883750e-06 1.72550135e-05 8.13895240e-02]\n  [9.33869720e-01 1.98532639e-08 1.74440245e-07 6.61300346e-02]\n  [9.44346786e-01 2.93540947e-09 4.19591331e-08 5.56531996e-02]\n  [9.49123085e-01 2.52363219e-09 4.06924769e-08 5.08769602e-02]\n  [9.50931728e-01 2.18224838e-09 3.64183208e-08 4.90682982e-02]]\n\n [[9.09503758e-01 9.55880205e-06 3.71226452e-05 9.04496163e-02]\n  [9.28394496e-01 7.14364319e-08 4.89296156e-07 7.16049597e-02]\n  [9.40324962e-01 1.43206655e-08 1.43737623e-07 5.96749261e-02]\n  [9.42212224e-01 1.25038699e-08 1.45597156e-07 5.77876605e-02]\n  [9.43431914e-01 1.03708420e-08 1.34751247e-07 5.65679073e-02]]\n\n [[8.75924051e-01 2.04202384e-04 6.01172389e-04 1.23270616e-01]\n  [9.26719964e-01 8.29054989e-06 2.98123978e-05 7.32419491e-02]\n  [9.42213595e-01 3.39816711e-06 1.43125217e-05 5.77687472e-02]\n  [9.41493452e-01 3.59593696e-06 1.60103991e-05 5.84868975e-02]\n  [9.39559162e-01 3.50605569e-06 1.61456464e-05 6.04212694e-02]]]\nPredicted mask after argmax for 2008_000181: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000181 has shape: (348, 486)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000181. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000181.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000181: (1, 256, 256, 4)\nSome predicted mask values: [[[9.88376558e-01 3.55695846e-08 8.92522181e-08 1.16233472e-02]\n  [9.95368779e-01 1.88994861e-11 3.89939470e-11 4.63117100e-03]\n  [9.96991515e-01 7.11326560e-13 2.72902035e-12 3.00847925e-03]\n  [9.97315824e-01 2.04175313e-13 1.25113570e-12 2.68411613e-03]\n  [9.97861564e-01 4.08423702e-14 3.25319090e-13 2.13840348e-03]]\n\n [[9.96928275e-01 5.86722728e-12 3.59080959e-11 3.07171559e-03]\n  [9.96923029e-01 3.18937339e-16 2.03942897e-15 3.07690213e-03]\n  [9.96043503e-01 1.80030748e-17 2.88518215e-16 3.95644037e-03]\n  [9.95744765e-01 1.17447297e-17 3.89144274e-16 4.25520120e-03]\n  [9.96190667e-01 1.97211046e-18 1.10991961e-16 3.80929722e-03]]\n\n [[9.99069095e-01 8.44484666e-14 9.43378622e-13 9.30828101e-04]\n  [9.98944461e-01 3.12860077e-18 5.13633963e-17 1.05560839e-03]\n  [9.98220623e-01 3.10100913e-19 2.61960523e-17 1.77931262e-03]\n  [9.97092485e-01 4.33478339e-19 8.93582966e-17 2.90754926e-03]\n  [9.97282982e-01 7.05338007e-20 2.92300118e-17 2.71705980e-03]]\n\n ...\n\n [[9.18588877e-01 4.22883750e-06 1.72550135e-05 8.13895240e-02]\n  [9.33869720e-01 1.98532639e-08 1.74440245e-07 6.61300346e-02]\n  [9.44346786e-01 2.93540947e-09 4.19591331e-08 5.56531996e-02]\n  [9.49123085e-01 2.52363219e-09 4.06924769e-08 5.08769602e-02]\n  [9.50931728e-01 2.18224838e-09 3.64183208e-08 4.90682982e-02]]\n\n [[9.09503758e-01 9.55880205e-06 3.71226452e-05 9.04496163e-02]\n  [9.28394496e-01 7.14364319e-08 4.89296156e-07 7.16049597e-02]\n  [9.40324962e-01 1.43206655e-08 1.43737623e-07 5.96749261e-02]\n  [9.42212224e-01 1.25038699e-08 1.45597156e-07 5.77876605e-02]\n  [9.43431914e-01 1.03708420e-08 1.34751247e-07 5.65679073e-02]]\n\n [[8.75924051e-01 2.04202384e-04 6.01172389e-04 1.23270616e-01]\n  [9.26719964e-01 8.29054989e-06 2.98123978e-05 7.32419491e-02]\n  [9.42213595e-01 3.39816711e-06 1.43125217e-05 5.77687472e-02]\n  [9.41493452e-01 3.59593696e-06 1.60103991e-05 5.84868975e-02]\n  [9.39559162e-01 3.50605569e-06 1.61456464e-05 6.04212694e-02]]]\nPredicted mask after argmax for 2008_000181: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000181 has shape: (348, 486)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000181. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.31874573e-01 4.20563410e-05 7.24162674e-05 6.80109560e-02]\n  [9.54882503e-01 5.78477568e-07 9.92122523e-07 4.51159105e-02]\n  [9.62184370e-01 1.12011833e-07 2.98223739e-07 3.78151350e-02]\n  [9.62094724e-01 8.65804992e-08 2.92381202e-07 3.79048511e-02]\n  [9.62372124e-01 5.72393297e-08 2.21398750e-07 3.76276411e-02]]\n\n [[9.70816970e-01 1.93218156e-07 5.91228968e-07 2.91822758e-02]\n  [9.69975591e-01 6.51539600e-10 2.22596364e-09 3.00243795e-02]\n  [9.66178954e-01 1.40238973e-10 9.10970410e-10 3.38210762e-02]\n  [9.62836921e-01 1.75994858e-10 1.68075587e-09 3.71630862e-02]\n  [9.61851835e-01 1.11573854e-10 1.42107914e-09 3.81481983e-02]]\n\n [[9.85171139e-01 1.44126409e-08 6.44657092e-08 1.48287080e-02]\n  [9.83218551e-01 3.20120909e-11 1.94082167e-10 1.67814475e-02]\n  [9.78578985e-01 8.21392693e-12 1.35427419e-10 2.14210022e-02]\n  [9.71956551e-01 1.32545494e-11 3.43355955e-10 2.80434340e-02]\n  [9.71635878e-01 7.56731136e-12 2.64646138e-10 2.83641070e-02]]\n\n ...\n\n [[8.77319336e-01 1.15927476e-04 2.98823375e-04 1.22266017e-01]\n  [8.73641253e-01 4.68786220e-06 1.75704427e-05 1.26336515e-01]\n  [8.79425526e-01 2.23084544e-06 1.17458067e-05 1.20560467e-01]\n  [8.77379417e-01 2.98025589e-06 1.71150914e-05 1.22600533e-01]\n  [8.73387814e-01 3.84754139e-06 2.20655638e-05 1.26586273e-01]]\n\n [[8.62256408e-01 2.28450022e-04 5.59908396e-04 1.36955217e-01]\n  [8.66210639e-01 1.11854570e-05 3.73301154e-05 1.33740827e-01]\n  [8.79964471e-01 5.78270647e-06 2.57317824e-05 1.20004036e-01]\n  [8.74076664e-01 7.40672158e-06 3.50403207e-05 1.25880897e-01]\n  [8.65318716e-01 9.27485416e-06 4.48187348e-05 1.34627283e-01]]\n\n [[8.16911459e-01 1.92714890e-03 4.01322683e-03 1.77148134e-01]\n  [8.65773082e-01 2.61967187e-04 6.21863815e-04 1.33343145e-01]\n  [8.77276659e-01 2.04885713e-04 5.24197822e-04 1.21994331e-01]\n  [8.69776487e-01 2.56098283e-04 6.69692876e-04 1.29297659e-01]\n  [8.59655440e-01 3.04380112e-04 7.95585220e-04 1.39244646e-01]]]\nPredicted mask after argmax for 2008_000182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000182 has shape: (500, 411)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.31874573e-01 4.20563410e-05 7.24162674e-05 6.80109560e-02]\n  [9.54882503e-01 5.78477568e-07 9.92122523e-07 4.51159105e-02]\n  [9.62184370e-01 1.12011833e-07 2.98223739e-07 3.78151350e-02]\n  [9.62094724e-01 8.65804992e-08 2.92381202e-07 3.79048511e-02]\n  [9.62372124e-01 5.72393297e-08 2.21398750e-07 3.76276411e-02]]\n\n [[9.70816970e-01 1.93218156e-07 5.91228968e-07 2.91822758e-02]\n  [9.69975591e-01 6.51539600e-10 2.22596364e-09 3.00243795e-02]\n  [9.66178954e-01 1.40238973e-10 9.10970410e-10 3.38210762e-02]\n  [9.62836921e-01 1.75994858e-10 1.68075587e-09 3.71630862e-02]\n  [9.61851835e-01 1.11573854e-10 1.42107914e-09 3.81481983e-02]]\n\n [[9.85171139e-01 1.44126409e-08 6.44657092e-08 1.48287080e-02]\n  [9.83218551e-01 3.20120909e-11 1.94082167e-10 1.67814475e-02]\n  [9.78578985e-01 8.21392693e-12 1.35427419e-10 2.14210022e-02]\n  [9.71956551e-01 1.32545494e-11 3.43355955e-10 2.80434340e-02]\n  [9.71635878e-01 7.56731136e-12 2.64646138e-10 2.83641070e-02]]\n\n ...\n\n [[8.77319336e-01 1.15927476e-04 2.98823375e-04 1.22266017e-01]\n  [8.73641253e-01 4.68786220e-06 1.75704427e-05 1.26336515e-01]\n  [8.79425526e-01 2.23084544e-06 1.17458067e-05 1.20560467e-01]\n  [8.77379417e-01 2.98025589e-06 1.71150914e-05 1.22600533e-01]\n  [8.73387814e-01 3.84754139e-06 2.20655638e-05 1.26586273e-01]]\n\n [[8.62256408e-01 2.28450022e-04 5.59908396e-04 1.36955217e-01]\n  [8.66210639e-01 1.11854570e-05 3.73301154e-05 1.33740827e-01]\n  [8.79964471e-01 5.78270647e-06 2.57317824e-05 1.20004036e-01]\n  [8.74076664e-01 7.40672158e-06 3.50403207e-05 1.25880897e-01]\n  [8.65318716e-01 9.27485416e-06 4.48187348e-05 1.34627283e-01]]\n\n [[8.16911459e-01 1.92714890e-03 4.01322683e-03 1.77148134e-01]\n  [8.65773082e-01 2.61967187e-04 6.21863815e-04 1.33343145e-01]\n  [8.77276659e-01 2.04885713e-04 5.24197822e-04 1.21994331e-01]\n  [8.69776487e-01 2.56098283e-04 6.69692876e-04 1.29297659e-01]\n  [8.59655440e-01 3.04380112e-04 7.95585220e-04 1.39244646e-01]]]\nPredicted mask after argmax for 2008_000182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000182 has shape: (500, 411)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.31874573e-01 4.20563410e-05 7.24162674e-05 6.80109560e-02]\n  [9.54882503e-01 5.78477568e-07 9.92122523e-07 4.51159105e-02]\n  [9.62184370e-01 1.12011833e-07 2.98223739e-07 3.78151350e-02]\n  [9.62094724e-01 8.65804992e-08 2.92381202e-07 3.79048511e-02]\n  [9.62372124e-01 5.72393297e-08 2.21398750e-07 3.76276411e-02]]\n\n [[9.70816970e-01 1.93218156e-07 5.91228968e-07 2.91822758e-02]\n  [9.69975591e-01 6.51539600e-10 2.22596364e-09 3.00243795e-02]\n  [9.66178954e-01 1.40238973e-10 9.10970410e-10 3.38210762e-02]\n  [9.62836921e-01 1.75994858e-10 1.68075587e-09 3.71630862e-02]\n  [9.61851835e-01 1.11573854e-10 1.42107914e-09 3.81481983e-02]]\n\n [[9.85171139e-01 1.44126409e-08 6.44657092e-08 1.48287080e-02]\n  [9.83218551e-01 3.20120909e-11 1.94082167e-10 1.67814475e-02]\n  [9.78578985e-01 8.21392693e-12 1.35427419e-10 2.14210022e-02]\n  [9.71956551e-01 1.32545494e-11 3.43355955e-10 2.80434340e-02]\n  [9.71635878e-01 7.56731136e-12 2.64646138e-10 2.83641070e-02]]\n\n ...\n\n [[8.77319336e-01 1.15927476e-04 2.98823375e-04 1.22266017e-01]\n  [8.73641253e-01 4.68786220e-06 1.75704427e-05 1.26336515e-01]\n  [8.79425526e-01 2.23084544e-06 1.17458067e-05 1.20560467e-01]\n  [8.77379417e-01 2.98025589e-06 1.71150914e-05 1.22600533e-01]\n  [8.73387814e-01 3.84754139e-06 2.20655638e-05 1.26586273e-01]]\n\n [[8.62256408e-01 2.28450022e-04 5.59908396e-04 1.36955217e-01]\n  [8.66210639e-01 1.11854570e-05 3.73301154e-05 1.33740827e-01]\n  [8.79964471e-01 5.78270647e-06 2.57317824e-05 1.20004036e-01]\n  [8.74076664e-01 7.40672158e-06 3.50403207e-05 1.25880897e-01]\n  [8.65318716e-01 9.27485416e-06 4.48187348e-05 1.34627283e-01]]\n\n [[8.16911459e-01 1.92714890e-03 4.01322683e-03 1.77148134e-01]\n  [8.65773082e-01 2.61967187e-04 6.21863815e-04 1.33343145e-01]\n  [8.77276659e-01 2.04885713e-04 5.24197822e-04 1.21994331e-01]\n  [8.69776487e-01 2.56098283e-04 6.69692876e-04 1.29297659e-01]\n  [8.59655440e-01 3.04380112e-04 7.95585220e-04 1.39244646e-01]]]\nPredicted mask after argmax for 2008_000182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000182 has shape: (500, 411)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.31874573e-01 4.20563410e-05 7.24162674e-05 6.80109560e-02]\n  [9.54882503e-01 5.78477568e-07 9.92122523e-07 4.51159105e-02]\n  [9.62184370e-01 1.12011833e-07 2.98223739e-07 3.78151350e-02]\n  [9.62094724e-01 8.65804992e-08 2.92381202e-07 3.79048511e-02]\n  [9.62372124e-01 5.72393297e-08 2.21398750e-07 3.76276411e-02]]\n\n [[9.70816970e-01 1.93218156e-07 5.91228968e-07 2.91822758e-02]\n  [9.69975591e-01 6.51539600e-10 2.22596364e-09 3.00243795e-02]\n  [9.66178954e-01 1.40238973e-10 9.10970410e-10 3.38210762e-02]\n  [9.62836921e-01 1.75994858e-10 1.68075587e-09 3.71630862e-02]\n  [9.61851835e-01 1.11573854e-10 1.42107914e-09 3.81481983e-02]]\n\n [[9.85171139e-01 1.44126409e-08 6.44657092e-08 1.48287080e-02]\n  [9.83218551e-01 3.20120909e-11 1.94082167e-10 1.67814475e-02]\n  [9.78578985e-01 8.21392693e-12 1.35427419e-10 2.14210022e-02]\n  [9.71956551e-01 1.32545494e-11 3.43355955e-10 2.80434340e-02]\n  [9.71635878e-01 7.56731136e-12 2.64646138e-10 2.83641070e-02]]\n\n ...\n\n [[8.77319336e-01 1.15927476e-04 2.98823375e-04 1.22266017e-01]\n  [8.73641253e-01 4.68786220e-06 1.75704427e-05 1.26336515e-01]\n  [8.79425526e-01 2.23084544e-06 1.17458067e-05 1.20560467e-01]\n  [8.77379417e-01 2.98025589e-06 1.71150914e-05 1.22600533e-01]\n  [8.73387814e-01 3.84754139e-06 2.20655638e-05 1.26586273e-01]]\n\n [[8.62256408e-01 2.28450022e-04 5.59908396e-04 1.36955217e-01]\n  [8.66210639e-01 1.11854570e-05 3.73301154e-05 1.33740827e-01]\n  [8.79964471e-01 5.78270647e-06 2.57317824e-05 1.20004036e-01]\n  [8.74076664e-01 7.40672158e-06 3.50403207e-05 1.25880897e-01]\n  [8.65318716e-01 9.27485416e-06 4.48187348e-05 1.34627283e-01]]\n\n [[8.16911459e-01 1.92714890e-03 4.01322683e-03 1.77148134e-01]\n  [8.65773082e-01 2.61967187e-04 6.21863815e-04 1.33343145e-01]\n  [8.77276659e-01 2.04885713e-04 5.24197822e-04 1.21994331e-01]\n  [8.69776487e-01 2.56098283e-04 6.69692876e-04 1.29297659e-01]\n  [8.59655440e-01 3.04380112e-04 7.95585220e-04 1.39244646e-01]]]\nPredicted mask after argmax for 2008_000182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000182 has shape: (500, 411)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000183.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000183: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78265822e-01 3.79232830e-07 8.86446628e-07 2.17329133e-02]\n  [9.90952730e-01 3.98977379e-10 8.42458159e-10 9.04729217e-03]\n  [9.94542003e-01 1.44916605e-11 4.97180977e-11 5.45795402e-03]\n  [9.95586634e-01 3.59256114e-12 1.70985986e-11 4.41335514e-03]\n  [9.96616483e-01 7.85106409e-13 4.40495730e-12 3.38344532e-03]]\n\n [[9.92043197e-01 2.72539408e-10 1.39882794e-09 7.95678794e-03]\n  [9.92705405e-01 3.98085258e-14 2.33785484e-13 7.29460036e-03]\n  [9.92217779e-01 1.80152642e-15 2.19765764e-14 7.78216356e-03]\n  [9.92416203e-01 8.45436290e-16 1.77350200e-14 7.58386403e-03]\n  [9.93215144e-01 1.68042641e-16 5.19291082e-15 6.78480137e-03]]\n\n [[9.96912599e-01 9.53133319e-12 8.63558322e-11 3.08738416e-03]\n  [9.96746778e-01 1.00839611e-15 1.45611537e-14 3.25320871e-03]\n  [9.95601296e-01 7.32236094e-17 4.01903623e-15 4.39865701e-03]\n  [9.94366109e-01 6.02418832e-17 6.74615960e-15 5.63384872e-03]\n  [9.94737923e-01 1.27741849e-17 2.36732093e-15 5.26212016e-03]]\n\n ...\n\n [[9.05852199e-01 3.29856703e-05 9.49705136e-05 9.40199941e-02]\n  [8.94658327e-01 1.04804712e-06 4.40510667e-06 1.05336219e-01]\n  [8.98992836e-01 5.31906608e-07 3.36274707e-06 1.01003297e-01]\n  [8.92500699e-01 9.30714464e-07 6.35416791e-06 1.07491933e-01]\n  [8.85858774e-01 1.41238456e-06 9.51476341e-06 1.14130311e-01]]\n\n [[8.92576516e-01 7.04689519e-05 1.90438644e-04 1.07162617e-01]\n  [8.90508890e-01 2.70818168e-06 9.80141431e-06 1.09478585e-01]\n  [9.01357234e-01 1.51297968e-06 7.75553690e-06 9.86335576e-02]\n  [8.93474996e-01 2.45032265e-06 1.33457042e-05 1.06509186e-01]\n  [8.79584312e-01 3.66997051e-06 2.03112413e-05 1.20391667e-01]]\n\n [[8.50828707e-01 8.01969843e-04 1.82054541e-03 1.46548763e-01]\n  [8.95541489e-01 8.42981026e-05 2.20091606e-04 1.04154006e-01]\n  [9.02942836e-01 7.34272035e-05 2.02951807e-04 9.67808068e-02]\n  [8.93934906e-01 1.11139147e-04 3.13593308e-04 1.05640337e-01]\n  [8.79748046e-01 1.53638975e-04 4.31205641e-04 1.19667031e-01]]]\nPredicted mask after argmax for 2008_000183: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000183 has shape: (500, 258)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000183. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000183.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000183: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78265822e-01 3.79232830e-07 8.86446628e-07 2.17329133e-02]\n  [9.90952730e-01 3.98977379e-10 8.42458159e-10 9.04729217e-03]\n  [9.94542003e-01 1.44916605e-11 4.97180977e-11 5.45795402e-03]\n  [9.95586634e-01 3.59256114e-12 1.70985986e-11 4.41335514e-03]\n  [9.96616483e-01 7.85106409e-13 4.40495730e-12 3.38344532e-03]]\n\n [[9.92043197e-01 2.72539408e-10 1.39882794e-09 7.95678794e-03]\n  [9.92705405e-01 3.98085258e-14 2.33785484e-13 7.29460036e-03]\n  [9.92217779e-01 1.80152642e-15 2.19765764e-14 7.78216356e-03]\n  [9.92416203e-01 8.45436290e-16 1.77350200e-14 7.58386403e-03]\n  [9.93215144e-01 1.68042641e-16 5.19291082e-15 6.78480137e-03]]\n\n [[9.96912599e-01 9.53133319e-12 8.63558322e-11 3.08738416e-03]\n  [9.96746778e-01 1.00839611e-15 1.45611537e-14 3.25320871e-03]\n  [9.95601296e-01 7.32236094e-17 4.01903623e-15 4.39865701e-03]\n  [9.94366109e-01 6.02418832e-17 6.74615960e-15 5.63384872e-03]\n  [9.94737923e-01 1.27741849e-17 2.36732093e-15 5.26212016e-03]]\n\n ...\n\n [[9.05852199e-01 3.29856703e-05 9.49705136e-05 9.40199941e-02]\n  [8.94658327e-01 1.04804712e-06 4.40510667e-06 1.05336219e-01]\n  [8.98992836e-01 5.31906608e-07 3.36274707e-06 1.01003297e-01]\n  [8.92500699e-01 9.30714464e-07 6.35416791e-06 1.07491933e-01]\n  [8.85858774e-01 1.41238456e-06 9.51476341e-06 1.14130311e-01]]\n\n [[8.92576516e-01 7.04689519e-05 1.90438644e-04 1.07162617e-01]\n  [8.90508890e-01 2.70818168e-06 9.80141431e-06 1.09478585e-01]\n  [9.01357234e-01 1.51297968e-06 7.75553690e-06 9.86335576e-02]\n  [8.93474996e-01 2.45032265e-06 1.33457042e-05 1.06509186e-01]\n  [8.79584312e-01 3.66997051e-06 2.03112413e-05 1.20391667e-01]]\n\n [[8.50828707e-01 8.01969843e-04 1.82054541e-03 1.46548763e-01]\n  [8.95541489e-01 8.42981026e-05 2.20091606e-04 1.04154006e-01]\n  [9.02942836e-01 7.34272035e-05 2.02951807e-04 9.67808068e-02]\n  [8.93934906e-01 1.11139147e-04 3.13593308e-04 1.05640337e-01]\n  [8.79748046e-01 1.53638975e-04 4.31205641e-04 1.19667031e-01]]]\nPredicted mask after argmax for 2008_000183: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000183 has shape: (500, 258)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000183. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000183.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000183: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78265822e-01 3.79232830e-07 8.86446628e-07 2.17329133e-02]\n  [9.90952730e-01 3.98977379e-10 8.42458159e-10 9.04729217e-03]\n  [9.94542003e-01 1.44916605e-11 4.97180977e-11 5.45795402e-03]\n  [9.95586634e-01 3.59256114e-12 1.70985986e-11 4.41335514e-03]\n  [9.96616483e-01 7.85106409e-13 4.40495730e-12 3.38344532e-03]]\n\n [[9.92043197e-01 2.72539408e-10 1.39882794e-09 7.95678794e-03]\n  [9.92705405e-01 3.98085258e-14 2.33785484e-13 7.29460036e-03]\n  [9.92217779e-01 1.80152642e-15 2.19765764e-14 7.78216356e-03]\n  [9.92416203e-01 8.45436290e-16 1.77350200e-14 7.58386403e-03]\n  [9.93215144e-01 1.68042641e-16 5.19291082e-15 6.78480137e-03]]\n\n [[9.96912599e-01 9.53133319e-12 8.63558322e-11 3.08738416e-03]\n  [9.96746778e-01 1.00839611e-15 1.45611537e-14 3.25320871e-03]\n  [9.95601296e-01 7.32236094e-17 4.01903623e-15 4.39865701e-03]\n  [9.94366109e-01 6.02418832e-17 6.74615960e-15 5.63384872e-03]\n  [9.94737923e-01 1.27741849e-17 2.36732093e-15 5.26212016e-03]]\n\n ...\n\n [[9.05852199e-01 3.29856703e-05 9.49705136e-05 9.40199941e-02]\n  [8.94658327e-01 1.04804712e-06 4.40510667e-06 1.05336219e-01]\n  [8.98992836e-01 5.31906608e-07 3.36274707e-06 1.01003297e-01]\n  [8.92500699e-01 9.30714464e-07 6.35416791e-06 1.07491933e-01]\n  [8.85858774e-01 1.41238456e-06 9.51476341e-06 1.14130311e-01]]\n\n [[8.92576516e-01 7.04689519e-05 1.90438644e-04 1.07162617e-01]\n  [8.90508890e-01 2.70818168e-06 9.80141431e-06 1.09478585e-01]\n  [9.01357234e-01 1.51297968e-06 7.75553690e-06 9.86335576e-02]\n  [8.93474996e-01 2.45032265e-06 1.33457042e-05 1.06509186e-01]\n  [8.79584312e-01 3.66997051e-06 2.03112413e-05 1.20391667e-01]]\n\n [[8.50828707e-01 8.01969843e-04 1.82054541e-03 1.46548763e-01]\n  [8.95541489e-01 8.42981026e-05 2.20091606e-04 1.04154006e-01]\n  [9.02942836e-01 7.34272035e-05 2.02951807e-04 9.67808068e-02]\n  [8.93934906e-01 1.11139147e-04 3.13593308e-04 1.05640337e-01]\n  [8.79748046e-01 1.53638975e-04 4.31205641e-04 1.19667031e-01]]]\nPredicted mask after argmax for 2008_000183: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000183 has shape: (500, 258)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000183. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000196.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000196: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79763210e-01 2.89091162e-07 6.50370794e-07 2.02358458e-02]\n  [9.89715278e-01 4.85640306e-10 9.82430248e-10 1.02846790e-02]\n  [9.92499769e-01 3.38444689e-11 1.29540559e-10 7.50028761e-03]\n  [9.92543936e-01 1.61447557e-11 9.35351935e-11 7.45603349e-03]\n  [9.93663669e-01 3.97927654e-12 3.03611095e-11 6.33628154e-03]]\n\n [[9.93963778e-01 1.16312654e-10 5.98853300e-10 6.03622850e-03]\n  [9.93422270e-01 2.81719143e-14 1.56936814e-13 6.57763891e-03]\n  [9.91893053e-01 2.63312347e-15 3.72202981e-14 8.10702145e-03]\n  [9.90942061e-01 2.40968592e-15 6.48289202e-14 9.05796885e-03]\n  [9.91824567e-01 4.56286908e-16 2.07892395e-14 8.17547459e-03]]\n\n [[9.97809708e-01 3.06974303e-12 2.69845778e-11 2.19035055e-03]\n  [9.97256935e-01 5.29814979e-16 6.68873458e-15 2.74304766e-03]\n  [9.95532155e-01 8.53106769e-17 4.69551867e-15 4.46780957e-03]\n  [9.93224204e-01 1.38196152e-16 1.67517282e-14 6.77572656e-03]\n  [9.93844211e-01 2.34998372e-17 5.15497602e-15 6.15573628e-03]]\n\n ...\n\n [[9.74003732e-01 6.14398559e-08 3.32611762e-07 2.59958077e-02]\n  [9.69109833e-01 1.97331956e-10 1.76102288e-09 3.08902059e-02]\n  [9.69108403e-01 3.72229227e-11 8.04478095e-10 3.08916401e-02]\n  [9.70627427e-01 3.48969534e-11 1.03672282e-09 2.93725505e-02]\n  [9.72879827e-01 1.93504275e-11 6.64384214e-10 2.71201152e-02]]\n\n [[9.62388992e-01 3.68832843e-07 1.75186074e-06 3.76088843e-02]\n  [9.61143792e-01 1.82117577e-09 1.25961694e-08 3.88562828e-02]\n  [9.66616690e-01 3.78386433e-10 5.49005730e-09 3.33833545e-02]\n  [9.65161979e-01 3.44588774e-10 6.47741638e-09 3.48380208e-02]\n  [9.65805709e-01 2.02135045e-10 4.85419882e-09 3.41942646e-02]]\n\n [[9.30762589e-01 2.42771494e-05 8.65572656e-05 6.91265389e-02]\n  [9.59359646e-01 6.05011962e-07 2.71624549e-06 4.06370088e-02]\n  [9.66085672e-01 2.98531631e-07 1.58630405e-06 3.39123122e-02]\n  [9.64325428e-01 3.52957102e-07 2.12677128e-06 3.56720053e-02]\n  [9.60636377e-01 2.89228865e-07 1.96207066e-06 3.93613391e-02]]]\nPredicted mask after argmax for 2008_000196: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000196 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000196. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000196.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000196: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79763210e-01 2.89091162e-07 6.50370794e-07 2.02358458e-02]\n  [9.89715278e-01 4.85640306e-10 9.82430248e-10 1.02846790e-02]\n  [9.92499769e-01 3.38444689e-11 1.29540559e-10 7.50028761e-03]\n  [9.92543936e-01 1.61447557e-11 9.35351935e-11 7.45603349e-03]\n  [9.93663669e-01 3.97927654e-12 3.03611095e-11 6.33628154e-03]]\n\n [[9.93963778e-01 1.16312654e-10 5.98853300e-10 6.03622850e-03]\n  [9.93422270e-01 2.81719143e-14 1.56936814e-13 6.57763891e-03]\n  [9.91893053e-01 2.63312347e-15 3.72202981e-14 8.10702145e-03]\n  [9.90942061e-01 2.40968592e-15 6.48289202e-14 9.05796885e-03]\n  [9.91824567e-01 4.56286908e-16 2.07892395e-14 8.17547459e-03]]\n\n [[9.97809708e-01 3.06974303e-12 2.69845778e-11 2.19035055e-03]\n  [9.97256935e-01 5.29814979e-16 6.68873458e-15 2.74304766e-03]\n  [9.95532155e-01 8.53106769e-17 4.69551867e-15 4.46780957e-03]\n  [9.93224204e-01 1.38196152e-16 1.67517282e-14 6.77572656e-03]\n  [9.93844211e-01 2.34998372e-17 5.15497602e-15 6.15573628e-03]]\n\n ...\n\n [[9.74003732e-01 6.14398559e-08 3.32611762e-07 2.59958077e-02]\n  [9.69109833e-01 1.97331956e-10 1.76102288e-09 3.08902059e-02]\n  [9.69108403e-01 3.72229227e-11 8.04478095e-10 3.08916401e-02]\n  [9.70627427e-01 3.48969534e-11 1.03672282e-09 2.93725505e-02]\n  [9.72879827e-01 1.93504275e-11 6.64384214e-10 2.71201152e-02]]\n\n [[9.62388992e-01 3.68832843e-07 1.75186074e-06 3.76088843e-02]\n  [9.61143792e-01 1.82117577e-09 1.25961694e-08 3.88562828e-02]\n  [9.66616690e-01 3.78386433e-10 5.49005730e-09 3.33833545e-02]\n  [9.65161979e-01 3.44588774e-10 6.47741638e-09 3.48380208e-02]\n  [9.65805709e-01 2.02135045e-10 4.85419882e-09 3.41942646e-02]]\n\n [[9.30762589e-01 2.42771494e-05 8.65572656e-05 6.91265389e-02]\n  [9.59359646e-01 6.05011962e-07 2.71624549e-06 4.06370088e-02]\n  [9.66085672e-01 2.98531631e-07 1.58630405e-06 3.39123122e-02]\n  [9.64325428e-01 3.52957102e-07 2.12677128e-06 3.56720053e-02]\n  [9.60636377e-01 2.89228865e-07 1.96207066e-06 3.93613391e-02]]]\nPredicted mask after argmax for 2008_000196: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000196 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000196. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000196.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000196: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79763210e-01 2.89091162e-07 6.50370794e-07 2.02358458e-02]\n  [9.89715278e-01 4.85640306e-10 9.82430248e-10 1.02846790e-02]\n  [9.92499769e-01 3.38444689e-11 1.29540559e-10 7.50028761e-03]\n  [9.92543936e-01 1.61447557e-11 9.35351935e-11 7.45603349e-03]\n  [9.93663669e-01 3.97927654e-12 3.03611095e-11 6.33628154e-03]]\n\n [[9.93963778e-01 1.16312654e-10 5.98853300e-10 6.03622850e-03]\n  [9.93422270e-01 2.81719143e-14 1.56936814e-13 6.57763891e-03]\n  [9.91893053e-01 2.63312347e-15 3.72202981e-14 8.10702145e-03]\n  [9.90942061e-01 2.40968592e-15 6.48289202e-14 9.05796885e-03]\n  [9.91824567e-01 4.56286908e-16 2.07892395e-14 8.17547459e-03]]\n\n [[9.97809708e-01 3.06974303e-12 2.69845778e-11 2.19035055e-03]\n  [9.97256935e-01 5.29814979e-16 6.68873458e-15 2.74304766e-03]\n  [9.95532155e-01 8.53106769e-17 4.69551867e-15 4.46780957e-03]\n  [9.93224204e-01 1.38196152e-16 1.67517282e-14 6.77572656e-03]\n  [9.93844211e-01 2.34998372e-17 5.15497602e-15 6.15573628e-03]]\n\n ...\n\n [[9.74003732e-01 6.14398559e-08 3.32611762e-07 2.59958077e-02]\n  [9.69109833e-01 1.97331956e-10 1.76102288e-09 3.08902059e-02]\n  [9.69108403e-01 3.72229227e-11 8.04478095e-10 3.08916401e-02]\n  [9.70627427e-01 3.48969534e-11 1.03672282e-09 2.93725505e-02]\n  [9.72879827e-01 1.93504275e-11 6.64384214e-10 2.71201152e-02]]\n\n [[9.62388992e-01 3.68832843e-07 1.75186074e-06 3.76088843e-02]\n  [9.61143792e-01 1.82117577e-09 1.25961694e-08 3.88562828e-02]\n  [9.66616690e-01 3.78386433e-10 5.49005730e-09 3.33833545e-02]\n  [9.65161979e-01 3.44588774e-10 6.47741638e-09 3.48380208e-02]\n  [9.65805709e-01 2.02135045e-10 4.85419882e-09 3.41942646e-02]]\n\n [[9.30762589e-01 2.42771494e-05 8.65572656e-05 6.91265389e-02]\n  [9.59359646e-01 6.05011962e-07 2.71624549e-06 4.06370088e-02]\n  [9.66085672e-01 2.98531631e-07 1.58630405e-06 3.39123122e-02]\n  [9.64325428e-01 3.52957102e-07 2.12677128e-06 3.56720053e-02]\n  [9.60636377e-01 2.89228865e-07 1.96207066e-06 3.93613391e-02]]]\nPredicted mask after argmax for 2008_000196: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000196 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000196. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000196.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000196: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79763210e-01 2.89091162e-07 6.50370794e-07 2.02358458e-02]\n  [9.89715278e-01 4.85640306e-10 9.82430248e-10 1.02846790e-02]\n  [9.92499769e-01 3.38444689e-11 1.29540559e-10 7.50028761e-03]\n  [9.92543936e-01 1.61447557e-11 9.35351935e-11 7.45603349e-03]\n  [9.93663669e-01 3.97927654e-12 3.03611095e-11 6.33628154e-03]]\n\n [[9.93963778e-01 1.16312654e-10 5.98853300e-10 6.03622850e-03]\n  [9.93422270e-01 2.81719143e-14 1.56936814e-13 6.57763891e-03]\n  [9.91893053e-01 2.63312347e-15 3.72202981e-14 8.10702145e-03]\n  [9.90942061e-01 2.40968592e-15 6.48289202e-14 9.05796885e-03]\n  [9.91824567e-01 4.56286908e-16 2.07892395e-14 8.17547459e-03]]\n\n [[9.97809708e-01 3.06974303e-12 2.69845778e-11 2.19035055e-03]\n  [9.97256935e-01 5.29814979e-16 6.68873458e-15 2.74304766e-03]\n  [9.95532155e-01 8.53106769e-17 4.69551867e-15 4.46780957e-03]\n  [9.93224204e-01 1.38196152e-16 1.67517282e-14 6.77572656e-03]\n  [9.93844211e-01 2.34998372e-17 5.15497602e-15 6.15573628e-03]]\n\n ...\n\n [[9.74003732e-01 6.14398559e-08 3.32611762e-07 2.59958077e-02]\n  [9.69109833e-01 1.97331956e-10 1.76102288e-09 3.08902059e-02]\n  [9.69108403e-01 3.72229227e-11 8.04478095e-10 3.08916401e-02]\n  [9.70627427e-01 3.48969534e-11 1.03672282e-09 2.93725505e-02]\n  [9.72879827e-01 1.93504275e-11 6.64384214e-10 2.71201152e-02]]\n\n [[9.62388992e-01 3.68832843e-07 1.75186074e-06 3.76088843e-02]\n  [9.61143792e-01 1.82117577e-09 1.25961694e-08 3.88562828e-02]\n  [9.66616690e-01 3.78386433e-10 5.49005730e-09 3.33833545e-02]\n  [9.65161979e-01 3.44588774e-10 6.47741638e-09 3.48380208e-02]\n  [9.65805709e-01 2.02135045e-10 4.85419882e-09 3.41942646e-02]]\n\n [[9.30762589e-01 2.42771494e-05 8.65572656e-05 6.91265389e-02]\n  [9.59359646e-01 6.05011962e-07 2.71624549e-06 4.06370088e-02]\n  [9.66085672e-01 2.98531631e-07 1.58630405e-06 3.39123122e-02]\n  [9.64325428e-01 3.52957102e-07 2.12677128e-06 3.56720053e-02]\n  [9.60636377e-01 2.89228865e-07 1.96207066e-06 3.93613391e-02]]]\nPredicted mask after argmax for 2008_000196: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000196 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000196. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000219.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000219: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68250990e-01 1.16885940e-06 2.55505984e-06 3.17453481e-02]\n  [9.84216928e-01 2.05282480e-09 5.24781418e-09 1.57830194e-02]\n  [9.88582492e-01 1.76044179e-10 7.48078932e-10 1.14174932e-02]\n  [9.88673747e-01 1.46112969e-10 7.72547748e-10 1.13262692e-02]\n  [9.88608003e-01 1.07945555e-10 6.55975663e-10 1.13919629e-02]]\n\n [[9.88221228e-01 1.12017651e-09 5.49349499e-09 1.17787244e-02]\n  [9.88876164e-01 3.45958776e-13 2.22217579e-12 1.11237597e-02]\n  [9.88590539e-01 3.06540682e-14 4.33002348e-13 1.14094876e-02]\n  [9.87243593e-01 4.62837573e-14 9.66179827e-13 1.27563290e-02]\n  [9.86556828e-01 3.53401526e-14 9.98398955e-13 1.34431841e-02]]\n\n [[9.94572341e-01 7.11599044e-11 5.87056403e-10 5.42770047e-03]\n  [9.94159162e-01 1.50017616e-14 2.11878678e-13 5.84083004e-03]\n  [9.92585719e-01 1.86527052e-15 8.43881781e-14 7.41424831e-03]\n  [9.90207970e-01 3.82759705e-15 2.89546951e-13 9.79209412e-03]\n  [9.89950180e-01 2.56960679e-15 2.62050554e-13 1.00498544e-02]]\n\n ...\n\n [[9.27228689e-01 8.45027262e-06 2.79910528e-05 7.27350041e-02]\n  [9.18530047e-01 1.47654703e-07 7.83729490e-07 8.14690664e-02]\n  [9.20588434e-01 4.96537957e-08 4.39496631e-07 7.94111639e-02]\n  [9.22307789e-01 5.93795733e-08 6.31609396e-07 7.76914731e-02]\n  [9.23009157e-01 5.71058187e-08 6.23272911e-07 7.69900829e-02]]\n\n [[9.15488183e-01 1.96001674e-05 6.06027024e-05 8.44316334e-02]\n  [9.14910972e-01 4.29677470e-07 1.88837373e-06 8.50868076e-02]\n  [9.22990918e-01 1.68627139e-07 1.15073203e-06 7.70076886e-02]\n  [9.18753803e-01 2.12393005e-07 1.63941502e-06 8.12443644e-02]\n  [9.15160000e-01 2.10450636e-07 1.81073483e-06 8.48379433e-02]]\n\n [[8.77066433e-01 3.16116115e-04 8.03920848e-04 1.21813588e-01]\n  [9.18646634e-01 2.18400655e-05 6.53169700e-05 8.12662691e-02]\n  [9.27475929e-01 1.51025970e-05 4.94633459e-05 7.24595189e-02]\n  [9.23354745e-01 1.99378901e-05 6.90376546e-05 7.65562430e-02]\n  [9.15681124e-01 2.20003130e-05 7.89818878e-05 8.42177346e-02]]]\nPredicted mask after argmax for 2008_000219: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000219 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000219. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000219.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000219: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68250990e-01 1.16885940e-06 2.55505984e-06 3.17453481e-02]\n  [9.84216928e-01 2.05282480e-09 5.24781418e-09 1.57830194e-02]\n  [9.88582492e-01 1.76044179e-10 7.48078932e-10 1.14174932e-02]\n  [9.88673747e-01 1.46112969e-10 7.72547748e-10 1.13262692e-02]\n  [9.88608003e-01 1.07945555e-10 6.55975663e-10 1.13919629e-02]]\n\n [[9.88221228e-01 1.12017651e-09 5.49349499e-09 1.17787244e-02]\n  [9.88876164e-01 3.45958776e-13 2.22217579e-12 1.11237597e-02]\n  [9.88590539e-01 3.06540682e-14 4.33002348e-13 1.14094876e-02]\n  [9.87243593e-01 4.62837573e-14 9.66179827e-13 1.27563290e-02]\n  [9.86556828e-01 3.53401526e-14 9.98398955e-13 1.34431841e-02]]\n\n [[9.94572341e-01 7.11599044e-11 5.87056403e-10 5.42770047e-03]\n  [9.94159162e-01 1.50017616e-14 2.11878678e-13 5.84083004e-03]\n  [9.92585719e-01 1.86527052e-15 8.43881781e-14 7.41424831e-03]\n  [9.90207970e-01 3.82759705e-15 2.89546951e-13 9.79209412e-03]\n  [9.89950180e-01 2.56960679e-15 2.62050554e-13 1.00498544e-02]]\n\n ...\n\n [[9.27228689e-01 8.45027262e-06 2.79910528e-05 7.27350041e-02]\n  [9.18530047e-01 1.47654703e-07 7.83729490e-07 8.14690664e-02]\n  [9.20588434e-01 4.96537957e-08 4.39496631e-07 7.94111639e-02]\n  [9.22307789e-01 5.93795733e-08 6.31609396e-07 7.76914731e-02]\n  [9.23009157e-01 5.71058187e-08 6.23272911e-07 7.69900829e-02]]\n\n [[9.15488183e-01 1.96001674e-05 6.06027024e-05 8.44316334e-02]\n  [9.14910972e-01 4.29677470e-07 1.88837373e-06 8.50868076e-02]\n  [9.22990918e-01 1.68627139e-07 1.15073203e-06 7.70076886e-02]\n  [9.18753803e-01 2.12393005e-07 1.63941502e-06 8.12443644e-02]\n  [9.15160000e-01 2.10450636e-07 1.81073483e-06 8.48379433e-02]]\n\n [[8.77066433e-01 3.16116115e-04 8.03920848e-04 1.21813588e-01]\n  [9.18646634e-01 2.18400655e-05 6.53169700e-05 8.12662691e-02]\n  [9.27475929e-01 1.51025970e-05 4.94633459e-05 7.24595189e-02]\n  [9.23354745e-01 1.99378901e-05 6.90376546e-05 7.65562430e-02]\n  [9.15681124e-01 2.20003130e-05 7.89818878e-05 8.42177346e-02]]]\nPredicted mask after argmax for 2008_000219: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000219 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000219. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000219.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000219: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68250990e-01 1.16885940e-06 2.55505984e-06 3.17453481e-02]\n  [9.84216928e-01 2.05282480e-09 5.24781418e-09 1.57830194e-02]\n  [9.88582492e-01 1.76044179e-10 7.48078932e-10 1.14174932e-02]\n  [9.88673747e-01 1.46112969e-10 7.72547748e-10 1.13262692e-02]\n  [9.88608003e-01 1.07945555e-10 6.55975663e-10 1.13919629e-02]]\n\n [[9.88221228e-01 1.12017651e-09 5.49349499e-09 1.17787244e-02]\n  [9.88876164e-01 3.45958776e-13 2.22217579e-12 1.11237597e-02]\n  [9.88590539e-01 3.06540682e-14 4.33002348e-13 1.14094876e-02]\n  [9.87243593e-01 4.62837573e-14 9.66179827e-13 1.27563290e-02]\n  [9.86556828e-01 3.53401526e-14 9.98398955e-13 1.34431841e-02]]\n\n [[9.94572341e-01 7.11599044e-11 5.87056403e-10 5.42770047e-03]\n  [9.94159162e-01 1.50017616e-14 2.11878678e-13 5.84083004e-03]\n  [9.92585719e-01 1.86527052e-15 8.43881781e-14 7.41424831e-03]\n  [9.90207970e-01 3.82759705e-15 2.89546951e-13 9.79209412e-03]\n  [9.89950180e-01 2.56960679e-15 2.62050554e-13 1.00498544e-02]]\n\n ...\n\n [[9.27228689e-01 8.45027262e-06 2.79910528e-05 7.27350041e-02]\n  [9.18530047e-01 1.47654703e-07 7.83729490e-07 8.14690664e-02]\n  [9.20588434e-01 4.96537957e-08 4.39496631e-07 7.94111639e-02]\n  [9.22307789e-01 5.93795733e-08 6.31609396e-07 7.76914731e-02]\n  [9.23009157e-01 5.71058187e-08 6.23272911e-07 7.69900829e-02]]\n\n [[9.15488183e-01 1.96001674e-05 6.06027024e-05 8.44316334e-02]\n  [9.14910972e-01 4.29677470e-07 1.88837373e-06 8.50868076e-02]\n  [9.22990918e-01 1.68627139e-07 1.15073203e-06 7.70076886e-02]\n  [9.18753803e-01 2.12393005e-07 1.63941502e-06 8.12443644e-02]\n  [9.15160000e-01 2.10450636e-07 1.81073483e-06 8.48379433e-02]]\n\n [[8.77066433e-01 3.16116115e-04 8.03920848e-04 1.21813588e-01]\n  [9.18646634e-01 2.18400655e-05 6.53169700e-05 8.12662691e-02]\n  [9.27475929e-01 1.51025970e-05 4.94633459e-05 7.24595189e-02]\n  [9.23354745e-01 1.99378901e-05 6.90376546e-05 7.65562430e-02]\n  [9.15681124e-01 2.20003130e-05 7.89818878e-05 8.42177346e-02]]]\nPredicted mask after argmax for 2008_000219: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000219 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000219. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000219.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000219: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68250990e-01 1.16885940e-06 2.55505984e-06 3.17453481e-02]\n  [9.84216928e-01 2.05282480e-09 5.24781418e-09 1.57830194e-02]\n  [9.88582492e-01 1.76044179e-10 7.48078932e-10 1.14174932e-02]\n  [9.88673747e-01 1.46112969e-10 7.72547748e-10 1.13262692e-02]\n  [9.88608003e-01 1.07945555e-10 6.55975663e-10 1.13919629e-02]]\n\n [[9.88221228e-01 1.12017651e-09 5.49349499e-09 1.17787244e-02]\n  [9.88876164e-01 3.45958776e-13 2.22217579e-12 1.11237597e-02]\n  [9.88590539e-01 3.06540682e-14 4.33002348e-13 1.14094876e-02]\n  [9.87243593e-01 4.62837573e-14 9.66179827e-13 1.27563290e-02]\n  [9.86556828e-01 3.53401526e-14 9.98398955e-13 1.34431841e-02]]\n\n [[9.94572341e-01 7.11599044e-11 5.87056403e-10 5.42770047e-03]\n  [9.94159162e-01 1.50017616e-14 2.11878678e-13 5.84083004e-03]\n  [9.92585719e-01 1.86527052e-15 8.43881781e-14 7.41424831e-03]\n  [9.90207970e-01 3.82759705e-15 2.89546951e-13 9.79209412e-03]\n  [9.89950180e-01 2.56960679e-15 2.62050554e-13 1.00498544e-02]]\n\n ...\n\n [[9.27228689e-01 8.45027262e-06 2.79910528e-05 7.27350041e-02]\n  [9.18530047e-01 1.47654703e-07 7.83729490e-07 8.14690664e-02]\n  [9.20588434e-01 4.96537957e-08 4.39496631e-07 7.94111639e-02]\n  [9.22307789e-01 5.93795733e-08 6.31609396e-07 7.76914731e-02]\n  [9.23009157e-01 5.71058187e-08 6.23272911e-07 7.69900829e-02]]\n\n [[9.15488183e-01 1.96001674e-05 6.06027024e-05 8.44316334e-02]\n  [9.14910972e-01 4.29677470e-07 1.88837373e-06 8.50868076e-02]\n  [9.22990918e-01 1.68627139e-07 1.15073203e-06 7.70076886e-02]\n  [9.18753803e-01 2.12393005e-07 1.63941502e-06 8.12443644e-02]\n  [9.15160000e-01 2.10450636e-07 1.81073483e-06 8.48379433e-02]]\n\n [[8.77066433e-01 3.16116115e-04 8.03920848e-04 1.21813588e-01]\n  [9.18646634e-01 2.18400655e-05 6.53169700e-05 8.12662691e-02]\n  [9.27475929e-01 1.51025970e-05 4.94633459e-05 7.24595189e-02]\n  [9.23354745e-01 1.99378901e-05 6.90376546e-05 7.65562430e-02]\n  [9.15681124e-01 2.20003130e-05 7.89818878e-05 8.42177346e-02]]]\nPredicted mask after argmax for 2008_000219: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000219 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000219. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000222.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000222: (1, 256, 256, 4)\nSome predicted mask values: [[[9.12104428e-01 1.20403522e-04 1.96656547e-04 8.75785202e-02]\n  [9.37673807e-01 2.81378698e-06 4.75500201e-06 6.23185672e-02]\n  [9.45110202e-01 7.62015134e-07 1.88028741e-06 5.48871048e-02]\n  [9.43347752e-01 7.16139084e-07 2.14778538e-06 5.66493943e-02]\n  [9.42368448e-01 5.65704966e-07 1.90047092e-06 5.76290712e-02]]\n\n [[9.57684219e-01 1.02500223e-06 2.85547321e-06 4.23119329e-02]\n  [9.54952061e-01 7.41497752e-09 2.32802631e-08 4.50479724e-02]\n  [9.50200200e-01 2.20596630e-09 1.22610428e-08 4.97997999e-02]\n  [9.44511414e-01 3.21584914e-09 2.46448391e-08 5.54885641e-02]\n  [9.43157613e-01 2.45350762e-09 2.38326692e-08 5.68423457e-02]]\n\n [[9.75651801e-01 1.20130920e-07 4.66692313e-07 2.43476257e-02]\n  [9.71562505e-01 6.58522292e-10 3.35680306e-09 2.84374822e-02]\n  [9.64242518e-01 2.47081050e-10 2.93543234e-09 3.57574821e-02]\n  [9.54463422e-01 4.33314690e-10 7.43733741e-09 4.55365516e-02]\n  [9.54191327e-01 2.86617508e-10 6.29847507e-09 4.58086617e-02]]\n\n ...\n\n [[9.69311714e-01 4.90377827e-09 4.79910121e-08 3.06882523e-02]\n  [9.86603677e-01 1.79244586e-13 7.76793734e-12 1.33962715e-02]\n  [9.93173063e-01 9.58011628e-16 1.12386920e-13 6.82686362e-03]\n  [9.95472848e-01 1.12089736e-16 1.77254282e-14 4.52716649e-03]\n  [9.96757805e-01 1.33069265e-17 2.90400947e-15 3.24216136e-03]]\n\n [[9.60322201e-01 3.64683679e-08 2.87609623e-07 3.96774895e-02]\n  [9.81799781e-01 5.29420128e-12 1.17580320e-10 1.82002559e-02]\n  [9.89398003e-01 7.84979856e-14 3.86551121e-12 1.06019881e-02]\n  [9.91834760e-01 1.23121762e-14 9.19818041e-13 8.16520210e-03]\n  [9.93757904e-01 2.12003495e-15 2.24879292e-13 6.24199817e-03]]\n\n [[9.34190869e-01 5.89246565e-06 2.89729596e-05 6.57742172e-02]\n  [9.73939478e-01 2.20702603e-08 1.55144321e-07 2.60603484e-02]\n  [9.85462844e-01 1.69618464e-09 1.72347168e-08 1.45371370e-02]\n  [9.87398267e-01 7.16093240e-10 8.97723584e-09 1.26017053e-02]\n  [9.89296377e-01 2.96588087e-10 4.49193749e-09 1.07036503e-02]]]\nPredicted mask after argmax for 2008_000222: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000222 has shape: (360, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000222. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000222.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000222: (1, 256, 256, 4)\nSome predicted mask values: [[[9.12104428e-01 1.20403522e-04 1.96656547e-04 8.75785202e-02]\n  [9.37673807e-01 2.81378698e-06 4.75500201e-06 6.23185672e-02]\n  [9.45110202e-01 7.62015134e-07 1.88028741e-06 5.48871048e-02]\n  [9.43347752e-01 7.16139084e-07 2.14778538e-06 5.66493943e-02]\n  [9.42368448e-01 5.65704966e-07 1.90047092e-06 5.76290712e-02]]\n\n [[9.57684219e-01 1.02500223e-06 2.85547321e-06 4.23119329e-02]\n  [9.54952061e-01 7.41497752e-09 2.32802631e-08 4.50479724e-02]\n  [9.50200200e-01 2.20596630e-09 1.22610428e-08 4.97997999e-02]\n  [9.44511414e-01 3.21584914e-09 2.46448391e-08 5.54885641e-02]\n  [9.43157613e-01 2.45350762e-09 2.38326692e-08 5.68423457e-02]]\n\n [[9.75651801e-01 1.20130920e-07 4.66692313e-07 2.43476257e-02]\n  [9.71562505e-01 6.58522292e-10 3.35680306e-09 2.84374822e-02]\n  [9.64242518e-01 2.47081050e-10 2.93543234e-09 3.57574821e-02]\n  [9.54463422e-01 4.33314690e-10 7.43733741e-09 4.55365516e-02]\n  [9.54191327e-01 2.86617508e-10 6.29847507e-09 4.58086617e-02]]\n\n ...\n\n [[9.69311714e-01 4.90377827e-09 4.79910121e-08 3.06882523e-02]\n  [9.86603677e-01 1.79244586e-13 7.76793734e-12 1.33962715e-02]\n  [9.93173063e-01 9.58011628e-16 1.12386920e-13 6.82686362e-03]\n  [9.95472848e-01 1.12089736e-16 1.77254282e-14 4.52716649e-03]\n  [9.96757805e-01 1.33069265e-17 2.90400947e-15 3.24216136e-03]]\n\n [[9.60322201e-01 3.64683679e-08 2.87609623e-07 3.96774895e-02]\n  [9.81799781e-01 5.29420128e-12 1.17580320e-10 1.82002559e-02]\n  [9.89398003e-01 7.84979856e-14 3.86551121e-12 1.06019881e-02]\n  [9.91834760e-01 1.23121762e-14 9.19818041e-13 8.16520210e-03]\n  [9.93757904e-01 2.12003495e-15 2.24879292e-13 6.24199817e-03]]\n\n [[9.34190869e-01 5.89246565e-06 2.89729596e-05 6.57742172e-02]\n  [9.73939478e-01 2.20702603e-08 1.55144321e-07 2.60603484e-02]\n  [9.85462844e-01 1.69618464e-09 1.72347168e-08 1.45371370e-02]\n  [9.87398267e-01 7.16093240e-10 8.97723584e-09 1.26017053e-02]\n  [9.89296377e-01 2.96588087e-10 4.49193749e-09 1.07036503e-02]]]\nPredicted mask after argmax for 2008_000222: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000222 has shape: (360, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000222. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000222.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000222: (1, 256, 256, 4)\nSome predicted mask values: [[[9.12104428e-01 1.20403522e-04 1.96656547e-04 8.75785202e-02]\n  [9.37673807e-01 2.81378698e-06 4.75500201e-06 6.23185672e-02]\n  [9.45110202e-01 7.62015134e-07 1.88028741e-06 5.48871048e-02]\n  [9.43347752e-01 7.16139084e-07 2.14778538e-06 5.66493943e-02]\n  [9.42368448e-01 5.65704966e-07 1.90047092e-06 5.76290712e-02]]\n\n [[9.57684219e-01 1.02500223e-06 2.85547321e-06 4.23119329e-02]\n  [9.54952061e-01 7.41497752e-09 2.32802631e-08 4.50479724e-02]\n  [9.50200200e-01 2.20596630e-09 1.22610428e-08 4.97997999e-02]\n  [9.44511414e-01 3.21584914e-09 2.46448391e-08 5.54885641e-02]\n  [9.43157613e-01 2.45350762e-09 2.38326692e-08 5.68423457e-02]]\n\n [[9.75651801e-01 1.20130920e-07 4.66692313e-07 2.43476257e-02]\n  [9.71562505e-01 6.58522292e-10 3.35680306e-09 2.84374822e-02]\n  [9.64242518e-01 2.47081050e-10 2.93543234e-09 3.57574821e-02]\n  [9.54463422e-01 4.33314690e-10 7.43733741e-09 4.55365516e-02]\n  [9.54191327e-01 2.86617508e-10 6.29847507e-09 4.58086617e-02]]\n\n ...\n\n [[9.69311714e-01 4.90377827e-09 4.79910121e-08 3.06882523e-02]\n  [9.86603677e-01 1.79244586e-13 7.76793734e-12 1.33962715e-02]\n  [9.93173063e-01 9.58011628e-16 1.12386920e-13 6.82686362e-03]\n  [9.95472848e-01 1.12089736e-16 1.77254282e-14 4.52716649e-03]\n  [9.96757805e-01 1.33069265e-17 2.90400947e-15 3.24216136e-03]]\n\n [[9.60322201e-01 3.64683679e-08 2.87609623e-07 3.96774895e-02]\n  [9.81799781e-01 5.29420128e-12 1.17580320e-10 1.82002559e-02]\n  [9.89398003e-01 7.84979856e-14 3.86551121e-12 1.06019881e-02]\n  [9.91834760e-01 1.23121762e-14 9.19818041e-13 8.16520210e-03]\n  [9.93757904e-01 2.12003495e-15 2.24879292e-13 6.24199817e-03]]\n\n [[9.34190869e-01 5.89246565e-06 2.89729596e-05 6.57742172e-02]\n  [9.73939478e-01 2.20702603e-08 1.55144321e-07 2.60603484e-02]\n  [9.85462844e-01 1.69618464e-09 1.72347168e-08 1.45371370e-02]\n  [9.87398267e-01 7.16093240e-10 8.97723584e-09 1.26017053e-02]\n  [9.89296377e-01 2.96588087e-10 4.49193749e-09 1.07036503e-02]]]\nPredicted mask after argmax for 2008_000222: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000222 has shape: (360, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000222. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000227: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8882759e-01 3.6583881e-08 8.4818026e-08 1.1172260e-02]\n  [9.9421477e-01 5.1752852e-11 8.6846946e-11 5.7851998e-03]\n  [9.9493986e-01 5.4999490e-12 2.0506633e-11 5.0601130e-03]\n  [9.9399227e-01 3.6093522e-12 2.5421925e-11 6.0077715e-03]\n  [9.9439865e-01 1.0754286e-12 1.1017851e-11 5.6012697e-03]]\n\n [[9.9763572e-01 3.6887299e-12 2.1264861e-11 2.3643114e-03]\n  [9.9684960e-01 4.6381512e-16 2.4311169e-15 3.1503788e-03]\n  [9.9454069e-01 9.1049232e-17 1.4987115e-15 5.4592718e-03]\n  [9.9259806e-01 1.6708069e-16 6.7711551e-15 7.4019278e-03]\n  [9.9292338e-01 4.2034662e-17 3.3467377e-15 7.0765689e-03]]\n\n [[9.9939430e-01 2.3608584e-14 2.4544700e-13 6.0571107e-04]\n  [9.9911147e-01 1.7333744e-18 2.1135763e-17 8.8850054e-04]\n  [9.9813074e-01 5.2022423e-19 4.3499751e-17 1.8692716e-03]\n  [9.9566412e-01 2.1235312e-18 4.7408858e-16 4.3358719e-03]\n  [9.9589229e-01 3.9531525e-19 1.9251757e-16 4.1076639e-03]]\n\n ...\n\n [[9.3348926e-01 7.4674531e-06 2.4504716e-05 6.6478781e-02]\n  [9.2390841e-01 1.2709900e-07 5.9339482e-07 7.6090969e-02]\n  [9.2972010e-01 3.4153285e-08 3.0329852e-07 7.0279546e-02]\n  [9.3065262e-01 3.1524788e-08 3.4302184e-07 6.9347031e-02]\n  [9.3298155e-01 2.4289037e-08 2.9324067e-07 6.7018054e-02]]\n\n [[9.1391057e-01 2.5597481e-05 7.6178891e-05 8.5987702e-02]\n  [9.1221613e-01 6.0117122e-07 2.3761097e-06 8.7780900e-02]\n  [9.2615110e-01 1.8714339e-07 1.2527535e-06 7.3847510e-02]\n  [9.2560256e-01 1.6968455e-07 1.3569477e-06 7.4395895e-02]\n  [9.2133075e-01 1.4129074e-07 1.3001385e-06 7.8667819e-02]]\n\n [[8.6968625e-01 4.6914732e-04 1.1428784e-03 1.2870178e-01]\n  [9.1127563e-01 3.6399415e-05 1.0483577e-04 8.8583149e-02]\n  [9.2056751e-01 2.3072445e-05 7.4427771e-05 7.9335004e-02]\n  [9.1913956e-01 2.4575864e-05 8.6620137e-05 8.0749243e-02]\n  [9.1236466e-01 2.3583390e-05 8.8414396e-05 8.7523364e-02]]]\nPredicted mask after argmax for 2008_000227: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000227 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000227. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000227: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8882759e-01 3.6583881e-08 8.4818026e-08 1.1172260e-02]\n  [9.9421477e-01 5.1752852e-11 8.6846946e-11 5.7851998e-03]\n  [9.9493986e-01 5.4999490e-12 2.0506633e-11 5.0601130e-03]\n  [9.9399227e-01 3.6093522e-12 2.5421925e-11 6.0077715e-03]\n  [9.9439865e-01 1.0754286e-12 1.1017851e-11 5.6012697e-03]]\n\n [[9.9763572e-01 3.6887299e-12 2.1264861e-11 2.3643114e-03]\n  [9.9684960e-01 4.6381512e-16 2.4311169e-15 3.1503788e-03]\n  [9.9454069e-01 9.1049232e-17 1.4987115e-15 5.4592718e-03]\n  [9.9259806e-01 1.6708069e-16 6.7711551e-15 7.4019278e-03]\n  [9.9292338e-01 4.2034662e-17 3.3467377e-15 7.0765689e-03]]\n\n [[9.9939430e-01 2.3608584e-14 2.4544700e-13 6.0571107e-04]\n  [9.9911147e-01 1.7333744e-18 2.1135763e-17 8.8850054e-04]\n  [9.9813074e-01 5.2022423e-19 4.3499751e-17 1.8692716e-03]\n  [9.9566412e-01 2.1235312e-18 4.7408858e-16 4.3358719e-03]\n  [9.9589229e-01 3.9531525e-19 1.9251757e-16 4.1076639e-03]]\n\n ...\n\n [[9.3348926e-01 7.4674531e-06 2.4504716e-05 6.6478781e-02]\n  [9.2390841e-01 1.2709900e-07 5.9339482e-07 7.6090969e-02]\n  [9.2972010e-01 3.4153285e-08 3.0329852e-07 7.0279546e-02]\n  [9.3065262e-01 3.1524788e-08 3.4302184e-07 6.9347031e-02]\n  [9.3298155e-01 2.4289037e-08 2.9324067e-07 6.7018054e-02]]\n\n [[9.1391057e-01 2.5597481e-05 7.6178891e-05 8.5987702e-02]\n  [9.1221613e-01 6.0117122e-07 2.3761097e-06 8.7780900e-02]\n  [9.2615110e-01 1.8714339e-07 1.2527535e-06 7.3847510e-02]\n  [9.2560256e-01 1.6968455e-07 1.3569477e-06 7.4395895e-02]\n  [9.2133075e-01 1.4129074e-07 1.3001385e-06 7.8667819e-02]]\n\n [[8.6968625e-01 4.6914732e-04 1.1428784e-03 1.2870178e-01]\n  [9.1127563e-01 3.6399415e-05 1.0483577e-04 8.8583149e-02]\n  [9.2056751e-01 2.3072445e-05 7.4427771e-05 7.9335004e-02]\n  [9.1913956e-01 2.4575864e-05 8.6620137e-05 8.0749243e-02]\n  [9.1236466e-01 2.3583390e-05 8.8414396e-05 8.7523364e-02]]]\nPredicted mask after argmax for 2008_000227: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000227 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000227. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000227: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8882759e-01 3.6583881e-08 8.4818026e-08 1.1172260e-02]\n  [9.9421477e-01 5.1752852e-11 8.6846946e-11 5.7851998e-03]\n  [9.9493986e-01 5.4999490e-12 2.0506633e-11 5.0601130e-03]\n  [9.9399227e-01 3.6093522e-12 2.5421925e-11 6.0077715e-03]\n  [9.9439865e-01 1.0754286e-12 1.1017851e-11 5.6012697e-03]]\n\n [[9.9763572e-01 3.6887299e-12 2.1264861e-11 2.3643114e-03]\n  [9.9684960e-01 4.6381512e-16 2.4311169e-15 3.1503788e-03]\n  [9.9454069e-01 9.1049232e-17 1.4987115e-15 5.4592718e-03]\n  [9.9259806e-01 1.6708069e-16 6.7711551e-15 7.4019278e-03]\n  [9.9292338e-01 4.2034662e-17 3.3467377e-15 7.0765689e-03]]\n\n [[9.9939430e-01 2.3608584e-14 2.4544700e-13 6.0571107e-04]\n  [9.9911147e-01 1.7333744e-18 2.1135763e-17 8.8850054e-04]\n  [9.9813074e-01 5.2022423e-19 4.3499751e-17 1.8692716e-03]\n  [9.9566412e-01 2.1235312e-18 4.7408858e-16 4.3358719e-03]\n  [9.9589229e-01 3.9531525e-19 1.9251757e-16 4.1076639e-03]]\n\n ...\n\n [[9.3348926e-01 7.4674531e-06 2.4504716e-05 6.6478781e-02]\n  [9.2390841e-01 1.2709900e-07 5.9339482e-07 7.6090969e-02]\n  [9.2972010e-01 3.4153285e-08 3.0329852e-07 7.0279546e-02]\n  [9.3065262e-01 3.1524788e-08 3.4302184e-07 6.9347031e-02]\n  [9.3298155e-01 2.4289037e-08 2.9324067e-07 6.7018054e-02]]\n\n [[9.1391057e-01 2.5597481e-05 7.6178891e-05 8.5987702e-02]\n  [9.1221613e-01 6.0117122e-07 2.3761097e-06 8.7780900e-02]\n  [9.2615110e-01 1.8714339e-07 1.2527535e-06 7.3847510e-02]\n  [9.2560256e-01 1.6968455e-07 1.3569477e-06 7.4395895e-02]\n  [9.2133075e-01 1.4129074e-07 1.3001385e-06 7.8667819e-02]]\n\n [[8.6968625e-01 4.6914732e-04 1.1428784e-03 1.2870178e-01]\n  [9.1127563e-01 3.6399415e-05 1.0483577e-04 8.8583149e-02]\n  [9.2056751e-01 2.3072445e-05 7.4427771e-05 7.9335004e-02]\n  [9.1913956e-01 2.4575864e-05 8.6620137e-05 8.0749243e-02]\n  [9.1236466e-01 2.3583390e-05 8.8414396e-05 8.7523364e-02]]]\nPredicted mask after argmax for 2008_000227: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000227 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000227. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000227: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8882759e-01 3.6583881e-08 8.4818026e-08 1.1172260e-02]\n  [9.9421477e-01 5.1752852e-11 8.6846946e-11 5.7851998e-03]\n  [9.9493986e-01 5.4999490e-12 2.0506633e-11 5.0601130e-03]\n  [9.9399227e-01 3.6093522e-12 2.5421925e-11 6.0077715e-03]\n  [9.9439865e-01 1.0754286e-12 1.1017851e-11 5.6012697e-03]]\n\n [[9.9763572e-01 3.6887299e-12 2.1264861e-11 2.3643114e-03]\n  [9.9684960e-01 4.6381512e-16 2.4311169e-15 3.1503788e-03]\n  [9.9454069e-01 9.1049232e-17 1.4987115e-15 5.4592718e-03]\n  [9.9259806e-01 1.6708069e-16 6.7711551e-15 7.4019278e-03]\n  [9.9292338e-01 4.2034662e-17 3.3467377e-15 7.0765689e-03]]\n\n [[9.9939430e-01 2.3608584e-14 2.4544700e-13 6.0571107e-04]\n  [9.9911147e-01 1.7333744e-18 2.1135763e-17 8.8850054e-04]\n  [9.9813074e-01 5.2022423e-19 4.3499751e-17 1.8692716e-03]\n  [9.9566412e-01 2.1235312e-18 4.7408858e-16 4.3358719e-03]\n  [9.9589229e-01 3.9531525e-19 1.9251757e-16 4.1076639e-03]]\n\n ...\n\n [[9.3348926e-01 7.4674531e-06 2.4504716e-05 6.6478781e-02]\n  [9.2390841e-01 1.2709900e-07 5.9339482e-07 7.6090969e-02]\n  [9.2972010e-01 3.4153285e-08 3.0329852e-07 7.0279546e-02]\n  [9.3065262e-01 3.1524788e-08 3.4302184e-07 6.9347031e-02]\n  [9.3298155e-01 2.4289037e-08 2.9324067e-07 6.7018054e-02]]\n\n [[9.1391057e-01 2.5597481e-05 7.6178891e-05 8.5987702e-02]\n  [9.1221613e-01 6.0117122e-07 2.3761097e-06 8.7780900e-02]\n  [9.2615110e-01 1.8714339e-07 1.2527535e-06 7.3847510e-02]\n  [9.2560256e-01 1.6968455e-07 1.3569477e-06 7.4395895e-02]\n  [9.2133075e-01 1.4129074e-07 1.3001385e-06 7.8667819e-02]]\n\n [[8.6968625e-01 4.6914732e-04 1.1428784e-03 1.2870178e-01]\n  [9.1127563e-01 3.6399415e-05 1.0483577e-04 8.8583149e-02]\n  [9.2056751e-01 2.3072445e-05 7.4427771e-05 7.9335004e-02]\n  [9.1913956e-01 2.4575864e-05 8.6620137e-05 8.0749243e-02]\n  [9.1236466e-01 2.3583390e-05 8.8414396e-05 8.7523364e-02]]]\nPredicted mask after argmax for 2008_000227: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000227 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000227. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000239.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000239: (1, 256, 256, 4)\nSome predicted mask values: [[[9.64352787e-01 3.06931861e-06 6.09529161e-06 3.56379598e-02]\n  [9.79614794e-01 1.49720805e-08 2.71691167e-08 2.03852504e-02]\n  [9.84124124e-01 1.92849670e-09 5.70439118e-09 1.58759318e-02]\n  [9.84086394e-01 1.30720257e-09 5.25253574e-09 1.59135815e-02]\n  [9.84948456e-01 6.56207977e-10 3.16757442e-09 1.50515912e-02]]\n\n [[9.86973047e-01 4.29859304e-09 1.71686985e-08 1.30269565e-02]\n  [9.85925794e-01 4.15717677e-12 1.77638876e-11 1.40741700e-02]\n  [9.82930958e-01 7.38442348e-13 6.43199773e-12 1.70690715e-02]\n  [9.80389416e-01 1.03233210e-12 1.44279675e-11 1.96106285e-02]\n  [9.80295360e-01 5.01604292e-13 1.00221689e-11 1.97046250e-02]]\n\n [[9.94443655e-01 1.89997740e-10 1.20450672e-09 5.55626769e-03]\n  [9.93186235e-01 1.36273263e-13 1.16751216e-12 6.81370450e-03]\n  [9.89822268e-01 3.85357267e-14 1.06843332e-12 1.01777837e-02]\n  [9.84526277e-01 9.13659881e-14 4.46185580e-12 1.54736545e-02]\n  [9.84301388e-01 4.20297139e-14 3.09128699e-12 1.56986769e-02]]\n\n ...\n\n [[9.06609178e-01 1.38084233e-05 4.80169365e-05 9.33290720e-02]\n  [9.14947689e-01 1.68287244e-07 1.07775190e-06 8.50509703e-02]\n  [9.23672497e-01 4.36987548e-08 4.17072073e-07 7.63270333e-02]\n  [9.27658796e-01 4.92745578e-08 5.20621541e-07 7.23406225e-02]\n  [9.27552760e-01 4.93865286e-08 5.23418862e-07 7.24466965e-02]]\n\n [[8.93920243e-01 3.23305321e-05 1.06071748e-04 1.05941497e-01]\n  [9.08028841e-01 5.52792130e-07 2.87918874e-06 9.19677317e-02]\n  [9.20392692e-01 1.68922668e-07 1.22779340e-06 7.96059221e-02]\n  [9.20132995e-01 1.83401781e-07 1.47122933e-06 7.98653811e-02]\n  [9.19525862e-01 1.68083503e-07 1.47205299e-06 8.04725736e-02]]\n\n [[8.53664517e-01 5.16353757e-04 1.33157382e-03 1.44487470e-01]\n  [9.04254675e-01 3.69235750e-05 1.10907444e-04 9.55974683e-02]\n  [9.19523239e-01 1.98761281e-05 6.78670476e-05 8.03890973e-02]\n  [9.16066110e-01 2.28203517e-05 8.07509277e-05 8.38302970e-02]\n  [9.11462426e-01 2.28389908e-05 8.25149691e-05 8.84323046e-02]]]\nPredicted mask after argmax for 2008_000239: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000239 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000239. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000239.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000239: (1, 256, 256, 4)\nSome predicted mask values: [[[9.64352787e-01 3.06931861e-06 6.09529161e-06 3.56379598e-02]\n  [9.79614794e-01 1.49720805e-08 2.71691167e-08 2.03852504e-02]\n  [9.84124124e-01 1.92849670e-09 5.70439118e-09 1.58759318e-02]\n  [9.84086394e-01 1.30720257e-09 5.25253574e-09 1.59135815e-02]\n  [9.84948456e-01 6.56207977e-10 3.16757442e-09 1.50515912e-02]]\n\n [[9.86973047e-01 4.29859304e-09 1.71686985e-08 1.30269565e-02]\n  [9.85925794e-01 4.15717677e-12 1.77638876e-11 1.40741700e-02]\n  [9.82930958e-01 7.38442348e-13 6.43199773e-12 1.70690715e-02]\n  [9.80389416e-01 1.03233210e-12 1.44279675e-11 1.96106285e-02]\n  [9.80295360e-01 5.01604292e-13 1.00221689e-11 1.97046250e-02]]\n\n [[9.94443655e-01 1.89997740e-10 1.20450672e-09 5.55626769e-03]\n  [9.93186235e-01 1.36273263e-13 1.16751216e-12 6.81370450e-03]\n  [9.89822268e-01 3.85357267e-14 1.06843332e-12 1.01777837e-02]\n  [9.84526277e-01 9.13659881e-14 4.46185580e-12 1.54736545e-02]\n  [9.84301388e-01 4.20297139e-14 3.09128699e-12 1.56986769e-02]]\n\n ...\n\n [[9.06609178e-01 1.38084233e-05 4.80169365e-05 9.33290720e-02]\n  [9.14947689e-01 1.68287244e-07 1.07775190e-06 8.50509703e-02]\n  [9.23672497e-01 4.36987548e-08 4.17072073e-07 7.63270333e-02]\n  [9.27658796e-01 4.92745578e-08 5.20621541e-07 7.23406225e-02]\n  [9.27552760e-01 4.93865286e-08 5.23418862e-07 7.24466965e-02]]\n\n [[8.93920243e-01 3.23305321e-05 1.06071748e-04 1.05941497e-01]\n  [9.08028841e-01 5.52792130e-07 2.87918874e-06 9.19677317e-02]\n  [9.20392692e-01 1.68922668e-07 1.22779340e-06 7.96059221e-02]\n  [9.20132995e-01 1.83401781e-07 1.47122933e-06 7.98653811e-02]\n  [9.19525862e-01 1.68083503e-07 1.47205299e-06 8.04725736e-02]]\n\n [[8.53664517e-01 5.16353757e-04 1.33157382e-03 1.44487470e-01]\n  [9.04254675e-01 3.69235750e-05 1.10907444e-04 9.55974683e-02]\n  [9.19523239e-01 1.98761281e-05 6.78670476e-05 8.03890973e-02]\n  [9.16066110e-01 2.28203517e-05 8.07509277e-05 8.38302970e-02]\n  [9.11462426e-01 2.28389908e-05 8.25149691e-05 8.84323046e-02]]]\nPredicted mask after argmax for 2008_000239: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000239 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000239. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000268.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000268: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9875236e-01 2.2708556e-12 1.1472177e-11 1.2476352e-03]\n  [9.9985516e-01 1.3181589e-18 6.7379217e-18 1.4487150e-04]\n  [9.9996459e-01 3.9723865e-22 4.2908035e-21 3.5368797e-05]\n  [9.9998367e-01 6.8854273e-24 1.2062155e-22 1.6318678e-05]\n  [9.9999225e-01 2.0281060e-25 4.4783357e-24 7.7637824e-06]]\n\n [[9.9973065e-01 8.0761614e-18 1.6280421e-16 2.6939312e-04]\n  [9.9986947e-01 8.9922464e-26 2.9404595e-24 1.3049239e-04]\n  [9.9991453e-01 1.7674620e-29 2.0074650e-27 8.5447478e-05]\n  [9.9994028e-01 5.8696966e-31 1.6758455e-28 5.9775703e-05]\n  [9.9995792e-01 1.3573745e-32 7.1716967e-30 4.2107564e-05]]\n\n [[9.9995077e-01 2.8171623e-20 1.7272039e-18 4.9194725e-05]\n  [9.9996996e-01 1.3798850e-28 2.9244303e-26 2.9980476e-05]\n  [9.9996579e-01 5.2835156e-32 1.2054358e-28 3.4172121e-05]\n  [9.9996865e-01 3.2611901e-33 3.1132570e-29 3.1390715e-05]\n  [9.9997580e-01 8.8889310e-35 2.0588264e-30 2.4144963e-05]]\n\n ...\n\n [[9.6341580e-01 3.9916875e-07 1.8454788e-06 3.6581989e-02]\n  [9.5670277e-01 2.5884370e-09 1.7148029e-08 4.3297209e-02]\n  [9.6030688e-01 5.4789495e-10 8.7695797e-09 3.9693132e-02]\n  [9.5945162e-01 5.2286464e-10 1.0741595e-08 4.0548448e-02]\n  [9.6082771e-01 3.9165191e-10 9.2370334e-09 3.9172288e-02]]\n\n [[9.4554418e-01 2.6498137e-06 1.0543514e-05 5.4442514e-02]\n  [9.4306439e-01 2.8050280e-08 1.4937730e-07 5.6935519e-02]\n  [9.5306182e-01 6.8141479e-09 7.3999082e-08 4.6938084e-02]\n  [9.5113915e-01 6.1913279e-09 8.4940147e-08 4.8860721e-02]\n  [9.4879907e-01 4.9754081e-09 8.1078994e-08 5.1200811e-02]]\n\n [[9.0513343e-01 1.1160246e-04 3.3914173e-04 9.4415925e-02]\n  [9.3676019e-01 5.1561669e-06 1.9422905e-05 6.3215278e-02]\n  [9.4514120e-01 2.8949462e-06 1.2952539e-05 5.4842968e-02]\n  [9.4242561e-01 3.3542815e-06 1.6800863e-05 5.7554092e-02]\n  [9.3505788e-01 3.2977280e-06 1.7990196e-05 6.4920872e-02]]]\nPredicted mask after argmax for 2008_000268: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000268 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000268. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000268.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000268: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9875236e-01 2.2708556e-12 1.1472177e-11 1.2476352e-03]\n  [9.9985516e-01 1.3181589e-18 6.7379217e-18 1.4487150e-04]\n  [9.9996459e-01 3.9723865e-22 4.2908035e-21 3.5368797e-05]\n  [9.9998367e-01 6.8854273e-24 1.2062155e-22 1.6318678e-05]\n  [9.9999225e-01 2.0281060e-25 4.4783357e-24 7.7637824e-06]]\n\n [[9.9973065e-01 8.0761614e-18 1.6280421e-16 2.6939312e-04]\n  [9.9986947e-01 8.9922464e-26 2.9404595e-24 1.3049239e-04]\n  [9.9991453e-01 1.7674620e-29 2.0074650e-27 8.5447478e-05]\n  [9.9994028e-01 5.8696966e-31 1.6758455e-28 5.9775703e-05]\n  [9.9995792e-01 1.3573745e-32 7.1716967e-30 4.2107564e-05]]\n\n [[9.9995077e-01 2.8171623e-20 1.7272039e-18 4.9194725e-05]\n  [9.9996996e-01 1.3798850e-28 2.9244303e-26 2.9980476e-05]\n  [9.9996579e-01 5.2835156e-32 1.2054358e-28 3.4172121e-05]\n  [9.9996865e-01 3.2611901e-33 3.1132570e-29 3.1390715e-05]\n  [9.9997580e-01 8.8889310e-35 2.0588264e-30 2.4144963e-05]]\n\n ...\n\n [[9.6341580e-01 3.9916875e-07 1.8454788e-06 3.6581989e-02]\n  [9.5670277e-01 2.5884370e-09 1.7148029e-08 4.3297209e-02]\n  [9.6030688e-01 5.4789495e-10 8.7695797e-09 3.9693132e-02]\n  [9.5945162e-01 5.2286464e-10 1.0741595e-08 4.0548448e-02]\n  [9.6082771e-01 3.9165191e-10 9.2370334e-09 3.9172288e-02]]\n\n [[9.4554418e-01 2.6498137e-06 1.0543514e-05 5.4442514e-02]\n  [9.4306439e-01 2.8050280e-08 1.4937730e-07 5.6935519e-02]\n  [9.5306182e-01 6.8141479e-09 7.3999082e-08 4.6938084e-02]\n  [9.5113915e-01 6.1913279e-09 8.4940147e-08 4.8860721e-02]\n  [9.4879907e-01 4.9754081e-09 8.1078994e-08 5.1200811e-02]]\n\n [[9.0513343e-01 1.1160246e-04 3.3914173e-04 9.4415925e-02]\n  [9.3676019e-01 5.1561669e-06 1.9422905e-05 6.3215278e-02]\n  [9.4514120e-01 2.8949462e-06 1.2952539e-05 5.4842968e-02]\n  [9.4242561e-01 3.3542815e-06 1.6800863e-05 5.7554092e-02]\n  [9.3505788e-01 3.2977280e-06 1.7990196e-05 6.4920872e-02]]]\nPredicted mask after argmax for 2008_000268: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000268 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000268. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000268.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000268: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9875236e-01 2.2708556e-12 1.1472177e-11 1.2476352e-03]\n  [9.9985516e-01 1.3181589e-18 6.7379217e-18 1.4487150e-04]\n  [9.9996459e-01 3.9723865e-22 4.2908035e-21 3.5368797e-05]\n  [9.9998367e-01 6.8854273e-24 1.2062155e-22 1.6318678e-05]\n  [9.9999225e-01 2.0281060e-25 4.4783357e-24 7.7637824e-06]]\n\n [[9.9973065e-01 8.0761614e-18 1.6280421e-16 2.6939312e-04]\n  [9.9986947e-01 8.9922464e-26 2.9404595e-24 1.3049239e-04]\n  [9.9991453e-01 1.7674620e-29 2.0074650e-27 8.5447478e-05]\n  [9.9994028e-01 5.8696966e-31 1.6758455e-28 5.9775703e-05]\n  [9.9995792e-01 1.3573745e-32 7.1716967e-30 4.2107564e-05]]\n\n [[9.9995077e-01 2.8171623e-20 1.7272039e-18 4.9194725e-05]\n  [9.9996996e-01 1.3798850e-28 2.9244303e-26 2.9980476e-05]\n  [9.9996579e-01 5.2835156e-32 1.2054358e-28 3.4172121e-05]\n  [9.9996865e-01 3.2611901e-33 3.1132570e-29 3.1390715e-05]\n  [9.9997580e-01 8.8889310e-35 2.0588264e-30 2.4144963e-05]]\n\n ...\n\n [[9.6341580e-01 3.9916875e-07 1.8454788e-06 3.6581989e-02]\n  [9.5670277e-01 2.5884370e-09 1.7148029e-08 4.3297209e-02]\n  [9.6030688e-01 5.4789495e-10 8.7695797e-09 3.9693132e-02]\n  [9.5945162e-01 5.2286464e-10 1.0741595e-08 4.0548448e-02]\n  [9.6082771e-01 3.9165191e-10 9.2370334e-09 3.9172288e-02]]\n\n [[9.4554418e-01 2.6498137e-06 1.0543514e-05 5.4442514e-02]\n  [9.4306439e-01 2.8050280e-08 1.4937730e-07 5.6935519e-02]\n  [9.5306182e-01 6.8141479e-09 7.3999082e-08 4.6938084e-02]\n  [9.5113915e-01 6.1913279e-09 8.4940147e-08 4.8860721e-02]\n  [9.4879907e-01 4.9754081e-09 8.1078994e-08 5.1200811e-02]]\n\n [[9.0513343e-01 1.1160246e-04 3.3914173e-04 9.4415925e-02]\n  [9.3676019e-01 5.1561669e-06 1.9422905e-05 6.3215278e-02]\n  [9.4514120e-01 2.8949462e-06 1.2952539e-05 5.4842968e-02]\n  [9.4242561e-01 3.3542815e-06 1.6800863e-05 5.7554092e-02]\n  [9.3505788e-01 3.2977280e-06 1.7990196e-05 6.4920872e-02]]]\nPredicted mask after argmax for 2008_000268: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000268 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000268. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000270.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000270: (1, 256, 256, 4)\nSome predicted mask values: [[[9.85773206e-01 8.24210247e-08 1.99775016e-07 1.42264124e-02]\n  [9.94122684e-01 6.47545073e-11 1.25378791e-10 5.87731693e-03]\n  [9.96155560e-01 2.72122472e-12 9.21869959e-12 3.84446071e-03]\n  [9.96557295e-01 8.19997173e-13 4.36481970e-12 3.44272074e-03]\n  [9.97090220e-01 2.30753350e-13 1.56008192e-12 2.90973252e-03]]\n\n [[9.95986998e-01 2.23593730e-11 1.24370653e-10 4.01297770e-03]\n  [9.95934606e-01 1.97531768e-15 1.11693144e-14 4.06538555e-03]\n  [9.94815528e-01 1.28503607e-16 1.64692576e-15 5.18446695e-03]\n  [9.94311333e-01 9.44066527e-17 2.41359391e-15 5.68864122e-03]\n  [9.94594514e-01 2.62242476e-17 1.07346614e-15 5.40546654e-03]]\n\n [[9.98731196e-01 3.73647863e-13 3.62738333e-12 1.26879208e-03]\n  [9.98545468e-01 2.62276787e-17 3.51675586e-16 1.45453785e-03]\n  [9.97675240e-01 3.30642454e-18 2.07956276e-16 2.32473132e-03]\n  [9.95992780e-01 6.29956684e-18 8.80064321e-16 4.00714437e-03]\n  [9.95788157e-01 2.04129729e-18 5.06538726e-16 4.21183417e-03]]\n\n ...\n\n [[9.03955042e-01 1.39027934e-05 5.02477924e-05 9.59808454e-02]\n  [9.20871019e-01 1.07647622e-07 7.27612701e-07 7.91281536e-02]\n  [9.33283508e-01 1.82227851e-08 1.98263606e-07 6.67162538e-02]\n  [9.39670026e-01 1.39864111e-08 1.80167476e-07 6.03297353e-02]\n  [9.40089047e-01 1.40373704e-08 1.81421370e-07 5.99107146e-02]]\n\n [[8.85911644e-01 4.18672971e-05 1.38732794e-04 1.13907777e-01]\n  [9.07923043e-01 5.37972142e-07 2.91256333e-06 9.20735225e-02]\n  [9.25932229e-01 1.15204706e-07 9.31067007e-07 7.40668252e-02]\n  [9.27723229e-01 9.00464201e-08 8.22304344e-07 7.22758919e-02]\n  [9.27573562e-01 8.41210337e-08 8.36890592e-07 7.24254921e-02]]\n\n [[8.42332065e-01 6.94948132e-04 1.78233709e-03 1.55190676e-01]\n  [8.96159053e-01 4.55930058e-05 1.40697754e-04 1.03654593e-01]\n  [9.15521741e-01 2.03524069e-05 7.46010846e-05 8.43833238e-02]\n  [9.13993239e-01 1.97225581e-05 7.61476476e-05 8.59108567e-02]\n  [9.09801006e-01 2.02796200e-05 8.05936725e-05 9.00981501e-02]]]\nPredicted mask after argmax for 2008_000270: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000270 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000270. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000270.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000270: (1, 256, 256, 4)\nSome predicted mask values: [[[9.85773206e-01 8.24210247e-08 1.99775016e-07 1.42264124e-02]\n  [9.94122684e-01 6.47545073e-11 1.25378791e-10 5.87731693e-03]\n  [9.96155560e-01 2.72122472e-12 9.21869959e-12 3.84446071e-03]\n  [9.96557295e-01 8.19997173e-13 4.36481970e-12 3.44272074e-03]\n  [9.97090220e-01 2.30753350e-13 1.56008192e-12 2.90973252e-03]]\n\n [[9.95986998e-01 2.23593730e-11 1.24370653e-10 4.01297770e-03]\n  [9.95934606e-01 1.97531768e-15 1.11693144e-14 4.06538555e-03]\n  [9.94815528e-01 1.28503607e-16 1.64692576e-15 5.18446695e-03]\n  [9.94311333e-01 9.44066527e-17 2.41359391e-15 5.68864122e-03]\n  [9.94594514e-01 2.62242476e-17 1.07346614e-15 5.40546654e-03]]\n\n [[9.98731196e-01 3.73647863e-13 3.62738333e-12 1.26879208e-03]\n  [9.98545468e-01 2.62276787e-17 3.51675586e-16 1.45453785e-03]\n  [9.97675240e-01 3.30642454e-18 2.07956276e-16 2.32473132e-03]\n  [9.95992780e-01 6.29956684e-18 8.80064321e-16 4.00714437e-03]\n  [9.95788157e-01 2.04129729e-18 5.06538726e-16 4.21183417e-03]]\n\n ...\n\n [[9.03955042e-01 1.39027934e-05 5.02477924e-05 9.59808454e-02]\n  [9.20871019e-01 1.07647622e-07 7.27612701e-07 7.91281536e-02]\n  [9.33283508e-01 1.82227851e-08 1.98263606e-07 6.67162538e-02]\n  [9.39670026e-01 1.39864111e-08 1.80167476e-07 6.03297353e-02]\n  [9.40089047e-01 1.40373704e-08 1.81421370e-07 5.99107146e-02]]\n\n [[8.85911644e-01 4.18672971e-05 1.38732794e-04 1.13907777e-01]\n  [9.07923043e-01 5.37972142e-07 2.91256333e-06 9.20735225e-02]\n  [9.25932229e-01 1.15204706e-07 9.31067007e-07 7.40668252e-02]\n  [9.27723229e-01 9.00464201e-08 8.22304344e-07 7.22758919e-02]\n  [9.27573562e-01 8.41210337e-08 8.36890592e-07 7.24254921e-02]]\n\n [[8.42332065e-01 6.94948132e-04 1.78233709e-03 1.55190676e-01]\n  [8.96159053e-01 4.55930058e-05 1.40697754e-04 1.03654593e-01]\n  [9.15521741e-01 2.03524069e-05 7.46010846e-05 8.43833238e-02]\n  [9.13993239e-01 1.97225581e-05 7.61476476e-05 8.59108567e-02]\n  [9.09801006e-01 2.02796200e-05 8.05936725e-05 9.00981501e-02]]]\nPredicted mask after argmax for 2008_000270: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000270 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000270. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000270.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000270: (1, 256, 256, 4)\nSome predicted mask values: [[[9.85773206e-01 8.24210247e-08 1.99775016e-07 1.42264124e-02]\n  [9.94122684e-01 6.47545073e-11 1.25378791e-10 5.87731693e-03]\n  [9.96155560e-01 2.72122472e-12 9.21869959e-12 3.84446071e-03]\n  [9.96557295e-01 8.19997173e-13 4.36481970e-12 3.44272074e-03]\n  [9.97090220e-01 2.30753350e-13 1.56008192e-12 2.90973252e-03]]\n\n [[9.95986998e-01 2.23593730e-11 1.24370653e-10 4.01297770e-03]\n  [9.95934606e-01 1.97531768e-15 1.11693144e-14 4.06538555e-03]\n  [9.94815528e-01 1.28503607e-16 1.64692576e-15 5.18446695e-03]\n  [9.94311333e-01 9.44066527e-17 2.41359391e-15 5.68864122e-03]\n  [9.94594514e-01 2.62242476e-17 1.07346614e-15 5.40546654e-03]]\n\n [[9.98731196e-01 3.73647863e-13 3.62738333e-12 1.26879208e-03]\n  [9.98545468e-01 2.62276787e-17 3.51675586e-16 1.45453785e-03]\n  [9.97675240e-01 3.30642454e-18 2.07956276e-16 2.32473132e-03]\n  [9.95992780e-01 6.29956684e-18 8.80064321e-16 4.00714437e-03]\n  [9.95788157e-01 2.04129729e-18 5.06538726e-16 4.21183417e-03]]\n\n ...\n\n [[9.03955042e-01 1.39027934e-05 5.02477924e-05 9.59808454e-02]\n  [9.20871019e-01 1.07647622e-07 7.27612701e-07 7.91281536e-02]\n  [9.33283508e-01 1.82227851e-08 1.98263606e-07 6.67162538e-02]\n  [9.39670026e-01 1.39864111e-08 1.80167476e-07 6.03297353e-02]\n  [9.40089047e-01 1.40373704e-08 1.81421370e-07 5.99107146e-02]]\n\n [[8.85911644e-01 4.18672971e-05 1.38732794e-04 1.13907777e-01]\n  [9.07923043e-01 5.37972142e-07 2.91256333e-06 9.20735225e-02]\n  [9.25932229e-01 1.15204706e-07 9.31067007e-07 7.40668252e-02]\n  [9.27723229e-01 9.00464201e-08 8.22304344e-07 7.22758919e-02]\n  [9.27573562e-01 8.41210337e-08 8.36890592e-07 7.24254921e-02]]\n\n [[8.42332065e-01 6.94948132e-04 1.78233709e-03 1.55190676e-01]\n  [8.96159053e-01 4.55930058e-05 1.40697754e-04 1.03654593e-01]\n  [9.15521741e-01 2.03524069e-05 7.46010846e-05 8.43833238e-02]\n  [9.13993239e-01 1.97225581e-05 7.61476476e-05 8.59108567e-02]\n  [9.09801006e-01 2.02796200e-05 8.05936725e-05 9.00981501e-02]]]\nPredicted mask after argmax for 2008_000270: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000270 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000270. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000273.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000273: (1, 256, 256, 4)\nSome predicted mask values: [[[9.67884243e-01 1.89261380e-06 3.73137436e-06 3.21101882e-02]\n  [9.80803728e-01 7.67737252e-09 1.42407783e-08 1.91963278e-02]\n  [9.83758867e-01 9.02922792e-10 3.27180616e-09 1.62411723e-02]\n  [9.83217359e-01 5.24088162e-10 2.86383628e-09 1.67826489e-02]\n  [9.85227942e-01 1.79957521e-10 1.23188526e-09 1.47721125e-02]]\n\n [[9.90938008e-01 1.04513209e-09 4.50110837e-09 9.06207878e-03]\n  [9.89761055e-01 5.82682123e-13 2.79071688e-12 1.02389716e-02]\n  [9.86777186e-01 8.69909003e-14 1.12084007e-12 1.32228089e-02]\n  [9.84041095e-01 1.14878430e-13 2.69852890e-12 1.59589052e-02]\n  [9.84337211e-01 4.42589081e-14 1.57790274e-12 1.56628713e-02]]\n\n [[9.96769428e-01 1.83098797e-11 1.32633432e-10 3.23062483e-03]\n  [9.95828927e-01 6.11935014e-15 6.11861839e-14 4.17111441e-03]\n  [9.93388653e-01 1.52721692e-15 6.69421793e-14 6.61131041e-03]\n  [9.88817692e-01 3.92165074e-15 3.30199924e-13 1.11823492e-02]\n  [9.89224494e-01 1.42369012e-15 1.97589896e-13 1.07754553e-02]]\n\n ...\n\n [[9.58938062e-01 2.03107149e-07 1.12395219e-06 4.10605036e-02]\n  [9.60332751e-01 5.07759113e-10 5.82744475e-09 3.96672562e-02]\n  [9.65114474e-01 6.77383566e-11 1.52414581e-09 3.48855592e-02]\n  [9.66725051e-01 8.90307481e-11 2.41566211e-09 3.32749784e-02]\n  [9.64082062e-01 1.33466460e-10 3.52952467e-09 3.59179601e-02]]\n\n [[9.45055425e-01 9.07555943e-07 4.43848239e-06 5.49392775e-02]\n  [9.52181339e-01 3.78852638e-09 3.25842429e-08 4.78187017e-02]\n  [9.62327421e-01 6.74549805e-10 1.01018705e-08 3.76725607e-02]\n  [9.58914280e-01 1.03079889e-09 1.74755268e-08 4.10857536e-02]\n  [9.53903496e-01 1.72742975e-09 3.17320961e-08 4.60965224e-02]]\n\n [[9.09834027e-01 4.76064415e-05 1.72365268e-04 8.99460539e-02]\n  [9.48580861e-01 1.34675417e-06 6.07303264e-06 5.14116250e-02]\n  [9.57664132e-01 6.44384670e-07 3.53896166e-06 4.23316211e-02]\n  [9.54434991e-01 1.03802199e-06 6.09870585e-06 4.55578752e-02]\n  [9.45960581e-01 1.75503260e-06 1.03773673e-05 5.40272966e-02]]]\nPredicted mask after argmax for 2008_000273: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000273 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000273. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000273.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000273: (1, 256, 256, 4)\nSome predicted mask values: [[[9.67884243e-01 1.89261380e-06 3.73137436e-06 3.21101882e-02]\n  [9.80803728e-01 7.67737252e-09 1.42407783e-08 1.91963278e-02]\n  [9.83758867e-01 9.02922792e-10 3.27180616e-09 1.62411723e-02]\n  [9.83217359e-01 5.24088162e-10 2.86383628e-09 1.67826489e-02]\n  [9.85227942e-01 1.79957521e-10 1.23188526e-09 1.47721125e-02]]\n\n [[9.90938008e-01 1.04513209e-09 4.50110837e-09 9.06207878e-03]\n  [9.89761055e-01 5.82682123e-13 2.79071688e-12 1.02389716e-02]\n  [9.86777186e-01 8.69909003e-14 1.12084007e-12 1.32228089e-02]\n  [9.84041095e-01 1.14878430e-13 2.69852890e-12 1.59589052e-02]\n  [9.84337211e-01 4.42589081e-14 1.57790274e-12 1.56628713e-02]]\n\n [[9.96769428e-01 1.83098797e-11 1.32633432e-10 3.23062483e-03]\n  [9.95828927e-01 6.11935014e-15 6.11861839e-14 4.17111441e-03]\n  [9.93388653e-01 1.52721692e-15 6.69421793e-14 6.61131041e-03]\n  [9.88817692e-01 3.92165074e-15 3.30199924e-13 1.11823492e-02]\n  [9.89224494e-01 1.42369012e-15 1.97589896e-13 1.07754553e-02]]\n\n ...\n\n [[9.58938062e-01 2.03107149e-07 1.12395219e-06 4.10605036e-02]\n  [9.60332751e-01 5.07759113e-10 5.82744475e-09 3.96672562e-02]\n  [9.65114474e-01 6.77383566e-11 1.52414581e-09 3.48855592e-02]\n  [9.66725051e-01 8.90307481e-11 2.41566211e-09 3.32749784e-02]\n  [9.64082062e-01 1.33466460e-10 3.52952467e-09 3.59179601e-02]]\n\n [[9.45055425e-01 9.07555943e-07 4.43848239e-06 5.49392775e-02]\n  [9.52181339e-01 3.78852638e-09 3.25842429e-08 4.78187017e-02]\n  [9.62327421e-01 6.74549805e-10 1.01018705e-08 3.76725607e-02]\n  [9.58914280e-01 1.03079889e-09 1.74755268e-08 4.10857536e-02]\n  [9.53903496e-01 1.72742975e-09 3.17320961e-08 4.60965224e-02]]\n\n [[9.09834027e-01 4.76064415e-05 1.72365268e-04 8.99460539e-02]\n  [9.48580861e-01 1.34675417e-06 6.07303264e-06 5.14116250e-02]\n  [9.57664132e-01 6.44384670e-07 3.53896166e-06 4.23316211e-02]\n  [9.54434991e-01 1.03802199e-06 6.09870585e-06 4.55578752e-02]\n  [9.45960581e-01 1.75503260e-06 1.03773673e-05 5.40272966e-02]]]\nPredicted mask after argmax for 2008_000273: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000273 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000273. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000273.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000273: (1, 256, 256, 4)\nSome predicted mask values: [[[9.67884243e-01 1.89261380e-06 3.73137436e-06 3.21101882e-02]\n  [9.80803728e-01 7.67737252e-09 1.42407783e-08 1.91963278e-02]\n  [9.83758867e-01 9.02922792e-10 3.27180616e-09 1.62411723e-02]\n  [9.83217359e-01 5.24088162e-10 2.86383628e-09 1.67826489e-02]\n  [9.85227942e-01 1.79957521e-10 1.23188526e-09 1.47721125e-02]]\n\n [[9.90938008e-01 1.04513209e-09 4.50110837e-09 9.06207878e-03]\n  [9.89761055e-01 5.82682123e-13 2.79071688e-12 1.02389716e-02]\n  [9.86777186e-01 8.69909003e-14 1.12084007e-12 1.32228089e-02]\n  [9.84041095e-01 1.14878430e-13 2.69852890e-12 1.59589052e-02]\n  [9.84337211e-01 4.42589081e-14 1.57790274e-12 1.56628713e-02]]\n\n [[9.96769428e-01 1.83098797e-11 1.32633432e-10 3.23062483e-03]\n  [9.95828927e-01 6.11935014e-15 6.11861839e-14 4.17111441e-03]\n  [9.93388653e-01 1.52721692e-15 6.69421793e-14 6.61131041e-03]\n  [9.88817692e-01 3.92165074e-15 3.30199924e-13 1.11823492e-02]\n  [9.89224494e-01 1.42369012e-15 1.97589896e-13 1.07754553e-02]]\n\n ...\n\n [[9.58938062e-01 2.03107149e-07 1.12395219e-06 4.10605036e-02]\n  [9.60332751e-01 5.07759113e-10 5.82744475e-09 3.96672562e-02]\n  [9.65114474e-01 6.77383566e-11 1.52414581e-09 3.48855592e-02]\n  [9.66725051e-01 8.90307481e-11 2.41566211e-09 3.32749784e-02]\n  [9.64082062e-01 1.33466460e-10 3.52952467e-09 3.59179601e-02]]\n\n [[9.45055425e-01 9.07555943e-07 4.43848239e-06 5.49392775e-02]\n  [9.52181339e-01 3.78852638e-09 3.25842429e-08 4.78187017e-02]\n  [9.62327421e-01 6.74549805e-10 1.01018705e-08 3.76725607e-02]\n  [9.58914280e-01 1.03079889e-09 1.74755268e-08 4.10857536e-02]\n  [9.53903496e-01 1.72742975e-09 3.17320961e-08 4.60965224e-02]]\n\n [[9.09834027e-01 4.76064415e-05 1.72365268e-04 8.99460539e-02]\n  [9.48580861e-01 1.34675417e-06 6.07303264e-06 5.14116250e-02]\n  [9.57664132e-01 6.44384670e-07 3.53896166e-06 4.23316211e-02]\n  [9.54434991e-01 1.03802199e-06 6.09870585e-06 4.55578752e-02]\n  [9.45960581e-01 1.75503260e-06 1.03773673e-05 5.40272966e-02]]]\nPredicted mask after argmax for 2008_000273: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000273 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000273. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000273.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000273: (1, 256, 256, 4)\nSome predicted mask values: [[[9.67884243e-01 1.89261380e-06 3.73137436e-06 3.21101882e-02]\n  [9.80803728e-01 7.67737252e-09 1.42407783e-08 1.91963278e-02]\n  [9.83758867e-01 9.02922792e-10 3.27180616e-09 1.62411723e-02]\n  [9.83217359e-01 5.24088162e-10 2.86383628e-09 1.67826489e-02]\n  [9.85227942e-01 1.79957521e-10 1.23188526e-09 1.47721125e-02]]\n\n [[9.90938008e-01 1.04513209e-09 4.50110837e-09 9.06207878e-03]\n  [9.89761055e-01 5.82682123e-13 2.79071688e-12 1.02389716e-02]\n  [9.86777186e-01 8.69909003e-14 1.12084007e-12 1.32228089e-02]\n  [9.84041095e-01 1.14878430e-13 2.69852890e-12 1.59589052e-02]\n  [9.84337211e-01 4.42589081e-14 1.57790274e-12 1.56628713e-02]]\n\n [[9.96769428e-01 1.83098797e-11 1.32633432e-10 3.23062483e-03]\n  [9.95828927e-01 6.11935014e-15 6.11861839e-14 4.17111441e-03]\n  [9.93388653e-01 1.52721692e-15 6.69421793e-14 6.61131041e-03]\n  [9.88817692e-01 3.92165074e-15 3.30199924e-13 1.11823492e-02]\n  [9.89224494e-01 1.42369012e-15 1.97589896e-13 1.07754553e-02]]\n\n ...\n\n [[9.58938062e-01 2.03107149e-07 1.12395219e-06 4.10605036e-02]\n  [9.60332751e-01 5.07759113e-10 5.82744475e-09 3.96672562e-02]\n  [9.65114474e-01 6.77383566e-11 1.52414581e-09 3.48855592e-02]\n  [9.66725051e-01 8.90307481e-11 2.41566211e-09 3.32749784e-02]\n  [9.64082062e-01 1.33466460e-10 3.52952467e-09 3.59179601e-02]]\n\n [[9.45055425e-01 9.07555943e-07 4.43848239e-06 5.49392775e-02]\n  [9.52181339e-01 3.78852638e-09 3.25842429e-08 4.78187017e-02]\n  [9.62327421e-01 6.74549805e-10 1.01018705e-08 3.76725607e-02]\n  [9.58914280e-01 1.03079889e-09 1.74755268e-08 4.10857536e-02]\n  [9.53903496e-01 1.72742975e-09 3.17320961e-08 4.60965224e-02]]\n\n [[9.09834027e-01 4.76064415e-05 1.72365268e-04 8.99460539e-02]\n  [9.48580861e-01 1.34675417e-06 6.07303264e-06 5.14116250e-02]\n  [9.57664132e-01 6.44384670e-07 3.53896166e-06 4.23316211e-02]\n  [9.54434991e-01 1.03802199e-06 6.09870585e-06 4.55578752e-02]\n  [9.45960581e-01 1.75503260e-06 1.03773673e-05 5.40272966e-02]]]\nPredicted mask after argmax for 2008_000273: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000273 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000273. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000306.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000306: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33645189e-01 2.77075706e-05 4.90591701e-05 6.62779883e-02]\n  [9.57552850e-01 2.32530454e-07 4.90083210e-07 4.24465276e-02]\n  [9.64715242e-01 4.06487999e-08 1.36434409e-07 3.52846757e-02]\n  [9.64272618e-01 3.59661243e-08 1.46748420e-07 3.57272625e-02]\n  [9.64158595e-01 2.72745648e-08 1.23918682e-07 3.58413309e-02]]\n\n [[9.73409534e-01 8.26048137e-08 2.84226758e-07 2.65900493e-02]\n  [9.73647952e-01 1.50628579e-10 6.68241129e-10 2.63520423e-02]\n  [9.72461224e-01 2.48576923e-11 2.25240285e-10 2.75387559e-02]\n  [9.69491541e-01 3.53502921e-11 4.48451970e-10 3.05084400e-02]\n  [9.68805492e-01 2.65974621e-11 4.31160080e-10 3.11944950e-02]]\n\n [[9.85894203e-01 7.10009873e-09 3.61892134e-08 1.41057931e-02]\n  [9.84463334e-01 8.91251482e-12 6.93435517e-11 1.55367041e-02]\n  [9.81734872e-01 1.85355182e-12 3.93829275e-11 1.82652213e-02]\n  [9.76921737e-01 3.19874465e-12 9.98018126e-11 2.30782926e-02]\n  [9.76607621e-01 2.26951530e-12 9.11979589e-11 2.33924240e-02]]\n\n ...\n\n [[9.15523231e-01 1.71971187e-05 5.53657846e-05 8.44041854e-02]\n  [9.11794722e-01 3.64014340e-07 1.76172364e-06 8.82032439e-02]\n  [9.13117528e-01 1.44691114e-07 1.13314411e-06 8.68812799e-02]\n  [9.13407385e-01 1.77292918e-07 1.61806577e-06 8.65907893e-02]\n  [9.13921773e-01 1.73951889e-07 1.63731306e-06 8.60763565e-02]]\n\n [[8.96556437e-01 4.83290642e-05 1.45611673e-04 1.03249684e-01]\n  [9.00919497e-01 1.26563123e-06 5.37462211e-06 9.90739241e-02]\n  [9.11227286e-01 5.14575333e-07 3.27934936e-06 8.87689590e-02]\n  [9.06976640e-01 5.88808518e-07 4.17215097e-06 9.30185691e-02]\n  [9.06113684e-01 5.43799558e-07 4.26460656e-06 9.38815996e-02]]\n\n [[8.50145161e-01 7.33734167e-04 1.79414393e-03 1.47326931e-01]\n  [8.93220603e-01 6.83161852e-05 1.94442342e-04 1.06516622e-01]\n  [9.05048251e-01 4.59480907e-05 1.48161082e-04 9.47576761e-02]\n  [8.98690879e-01 5.52239289e-05 1.86235964e-04 1.01067796e-01]\n  [8.91786158e-01 5.58355569e-05 1.95573186e-04 1.07962407e-01]]]\nPredicted mask after argmax for 2008_000306: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000306 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000306. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000306.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000306: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33645189e-01 2.77075706e-05 4.90591701e-05 6.62779883e-02]\n  [9.57552850e-01 2.32530454e-07 4.90083210e-07 4.24465276e-02]\n  [9.64715242e-01 4.06487999e-08 1.36434409e-07 3.52846757e-02]\n  [9.64272618e-01 3.59661243e-08 1.46748420e-07 3.57272625e-02]\n  [9.64158595e-01 2.72745648e-08 1.23918682e-07 3.58413309e-02]]\n\n [[9.73409534e-01 8.26048137e-08 2.84226758e-07 2.65900493e-02]\n  [9.73647952e-01 1.50628579e-10 6.68241129e-10 2.63520423e-02]\n  [9.72461224e-01 2.48576923e-11 2.25240285e-10 2.75387559e-02]\n  [9.69491541e-01 3.53502921e-11 4.48451970e-10 3.05084400e-02]\n  [9.68805492e-01 2.65974621e-11 4.31160080e-10 3.11944950e-02]]\n\n [[9.85894203e-01 7.10009873e-09 3.61892134e-08 1.41057931e-02]\n  [9.84463334e-01 8.91251482e-12 6.93435517e-11 1.55367041e-02]\n  [9.81734872e-01 1.85355182e-12 3.93829275e-11 1.82652213e-02]\n  [9.76921737e-01 3.19874465e-12 9.98018126e-11 2.30782926e-02]\n  [9.76607621e-01 2.26951530e-12 9.11979589e-11 2.33924240e-02]]\n\n ...\n\n [[9.15523231e-01 1.71971187e-05 5.53657846e-05 8.44041854e-02]\n  [9.11794722e-01 3.64014340e-07 1.76172364e-06 8.82032439e-02]\n  [9.13117528e-01 1.44691114e-07 1.13314411e-06 8.68812799e-02]\n  [9.13407385e-01 1.77292918e-07 1.61806577e-06 8.65907893e-02]\n  [9.13921773e-01 1.73951889e-07 1.63731306e-06 8.60763565e-02]]\n\n [[8.96556437e-01 4.83290642e-05 1.45611673e-04 1.03249684e-01]\n  [9.00919497e-01 1.26563123e-06 5.37462211e-06 9.90739241e-02]\n  [9.11227286e-01 5.14575333e-07 3.27934936e-06 8.87689590e-02]\n  [9.06976640e-01 5.88808518e-07 4.17215097e-06 9.30185691e-02]\n  [9.06113684e-01 5.43799558e-07 4.26460656e-06 9.38815996e-02]]\n\n [[8.50145161e-01 7.33734167e-04 1.79414393e-03 1.47326931e-01]\n  [8.93220603e-01 6.83161852e-05 1.94442342e-04 1.06516622e-01]\n  [9.05048251e-01 4.59480907e-05 1.48161082e-04 9.47576761e-02]\n  [8.98690879e-01 5.52239289e-05 1.86235964e-04 1.01067796e-01]\n  [8.91786158e-01 5.58355569e-05 1.95573186e-04 1.07962407e-01]]]\nPredicted mask after argmax for 2008_000306: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000306 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000306. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000306.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000306: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33645189e-01 2.77075706e-05 4.90591701e-05 6.62779883e-02]\n  [9.57552850e-01 2.32530454e-07 4.90083210e-07 4.24465276e-02]\n  [9.64715242e-01 4.06487999e-08 1.36434409e-07 3.52846757e-02]\n  [9.64272618e-01 3.59661243e-08 1.46748420e-07 3.57272625e-02]\n  [9.64158595e-01 2.72745648e-08 1.23918682e-07 3.58413309e-02]]\n\n [[9.73409534e-01 8.26048137e-08 2.84226758e-07 2.65900493e-02]\n  [9.73647952e-01 1.50628579e-10 6.68241129e-10 2.63520423e-02]\n  [9.72461224e-01 2.48576923e-11 2.25240285e-10 2.75387559e-02]\n  [9.69491541e-01 3.53502921e-11 4.48451970e-10 3.05084400e-02]\n  [9.68805492e-01 2.65974621e-11 4.31160080e-10 3.11944950e-02]]\n\n [[9.85894203e-01 7.10009873e-09 3.61892134e-08 1.41057931e-02]\n  [9.84463334e-01 8.91251482e-12 6.93435517e-11 1.55367041e-02]\n  [9.81734872e-01 1.85355182e-12 3.93829275e-11 1.82652213e-02]\n  [9.76921737e-01 3.19874465e-12 9.98018126e-11 2.30782926e-02]\n  [9.76607621e-01 2.26951530e-12 9.11979589e-11 2.33924240e-02]]\n\n ...\n\n [[9.15523231e-01 1.71971187e-05 5.53657846e-05 8.44041854e-02]\n  [9.11794722e-01 3.64014340e-07 1.76172364e-06 8.82032439e-02]\n  [9.13117528e-01 1.44691114e-07 1.13314411e-06 8.68812799e-02]\n  [9.13407385e-01 1.77292918e-07 1.61806577e-06 8.65907893e-02]\n  [9.13921773e-01 1.73951889e-07 1.63731306e-06 8.60763565e-02]]\n\n [[8.96556437e-01 4.83290642e-05 1.45611673e-04 1.03249684e-01]\n  [9.00919497e-01 1.26563123e-06 5.37462211e-06 9.90739241e-02]\n  [9.11227286e-01 5.14575333e-07 3.27934936e-06 8.87689590e-02]\n  [9.06976640e-01 5.88808518e-07 4.17215097e-06 9.30185691e-02]\n  [9.06113684e-01 5.43799558e-07 4.26460656e-06 9.38815996e-02]]\n\n [[8.50145161e-01 7.33734167e-04 1.79414393e-03 1.47326931e-01]\n  [8.93220603e-01 6.83161852e-05 1.94442342e-04 1.06516622e-01]\n  [9.05048251e-01 4.59480907e-05 1.48161082e-04 9.47576761e-02]\n  [8.98690879e-01 5.52239289e-05 1.86235964e-04 1.01067796e-01]\n  [8.91786158e-01 5.58355569e-05 1.95573186e-04 1.07962407e-01]]]\nPredicted mask after argmax for 2008_000306: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000306 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000306. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000330.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000330: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96945441e-01 1.22155147e-10 4.45546711e-10 3.05459159e-03]\n  [9.99297857e-01 2.18438299e-15 6.97178335e-15 7.02090736e-04]\n  [9.99680579e-01 1.14569668e-17 7.87212238e-17 3.19404178e-04]\n  [9.99763548e-01 1.34013816e-18 1.57330927e-17 2.36426626e-04]\n  [9.99834418e-01 1.55988893e-19 2.38309804e-18 1.65597492e-04]]\n\n [[9.99386907e-01 1.50660056e-15 1.77748695e-14 6.13073877e-04]\n  [9.99533713e-01 1.09612518e-21 1.59566274e-20 4.66258818e-04]\n  [9.99492049e-01 7.24728880e-24 3.40177068e-22 5.07929130e-04]\n  [9.99497414e-01 2.31008450e-24 2.57640028e-22 5.02611394e-04]\n  [9.99564230e-01 2.32992114e-25 4.82991007e-23 4.35720227e-04]]\n\n [[9.99872088e-01 7.25856199e-18 2.00462841e-16 1.27939362e-04]\n  [9.99884725e-01 3.09185473e-24 1.74391524e-22 1.15287039e-04]\n  [9.99804020e-01 4.51461984e-26 2.02576246e-23 1.95984103e-04]\n  [9.99692023e-01 3.59135398e-26 5.19029360e-23 3.07948212e-04]\n  [9.99717534e-01 3.53645150e-27 1.21046572e-23 2.82503664e-04]]\n\n ...\n\n [[9.41635430e-01 1.33465380e-06 5.52690290e-06 5.83577007e-02]\n  [9.48580682e-01 5.79253179e-09 4.76939164e-08 5.14193773e-02]\n  [9.47561741e-01 1.60698077e-09 2.24808705e-08 5.24382070e-02]\n  [9.48387742e-01 2.48780530e-09 4.09313472e-08 5.16122207e-02]\n  [9.46480453e-01 3.11401327e-09 5.05235676e-08 5.35195135e-02]]\n\n [[9.31071699e-01 3.16521596e-06 1.33462026e-05 6.89117312e-02]\n  [9.43298995e-01 1.69268493e-08 1.27271264e-07 5.67009374e-02]\n  [9.47608888e-01 4.67215333e-09 5.46881864e-08 5.23911305e-02]\n  [9.46045816e-01 6.36980513e-09 8.47613038e-08 5.39540723e-02]\n  [9.43323791e-01 8.33436520e-09 1.16011577e-07 5.66760600e-02]]\n\n [[8.93174171e-01 1.03341590e-04 3.37489211e-04 1.06384896e-01]\n  [9.34488416e-01 3.51081894e-06 1.41056489e-05 6.54938370e-02]\n  [9.47516918e-01 1.68836937e-06 8.31199941e-06 5.24730720e-02]\n  [9.41516936e-01 2.50381527e-06 1.25879151e-05 5.84680587e-02]\n  [9.35521483e-01 3.27297835e-06 1.66070568e-05 6.44586906e-02]]]\nPredicted mask after argmax for 2008_000330: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000330 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000330. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000330.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000330: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96945441e-01 1.22155147e-10 4.45546711e-10 3.05459159e-03]\n  [9.99297857e-01 2.18438299e-15 6.97178335e-15 7.02090736e-04]\n  [9.99680579e-01 1.14569668e-17 7.87212238e-17 3.19404178e-04]\n  [9.99763548e-01 1.34013816e-18 1.57330927e-17 2.36426626e-04]\n  [9.99834418e-01 1.55988893e-19 2.38309804e-18 1.65597492e-04]]\n\n [[9.99386907e-01 1.50660056e-15 1.77748695e-14 6.13073877e-04]\n  [9.99533713e-01 1.09612518e-21 1.59566274e-20 4.66258818e-04]\n  [9.99492049e-01 7.24728880e-24 3.40177068e-22 5.07929130e-04]\n  [9.99497414e-01 2.31008450e-24 2.57640028e-22 5.02611394e-04]\n  [9.99564230e-01 2.32992114e-25 4.82991007e-23 4.35720227e-04]]\n\n [[9.99872088e-01 7.25856199e-18 2.00462841e-16 1.27939362e-04]\n  [9.99884725e-01 3.09185473e-24 1.74391524e-22 1.15287039e-04]\n  [9.99804020e-01 4.51461984e-26 2.02576246e-23 1.95984103e-04]\n  [9.99692023e-01 3.59135398e-26 5.19029360e-23 3.07948212e-04]\n  [9.99717534e-01 3.53645150e-27 1.21046572e-23 2.82503664e-04]]\n\n ...\n\n [[9.41635430e-01 1.33465380e-06 5.52690290e-06 5.83577007e-02]\n  [9.48580682e-01 5.79253179e-09 4.76939164e-08 5.14193773e-02]\n  [9.47561741e-01 1.60698077e-09 2.24808705e-08 5.24382070e-02]\n  [9.48387742e-01 2.48780530e-09 4.09313472e-08 5.16122207e-02]\n  [9.46480453e-01 3.11401327e-09 5.05235676e-08 5.35195135e-02]]\n\n [[9.31071699e-01 3.16521596e-06 1.33462026e-05 6.89117312e-02]\n  [9.43298995e-01 1.69268493e-08 1.27271264e-07 5.67009374e-02]\n  [9.47608888e-01 4.67215333e-09 5.46881864e-08 5.23911305e-02]\n  [9.46045816e-01 6.36980513e-09 8.47613038e-08 5.39540723e-02]\n  [9.43323791e-01 8.33436520e-09 1.16011577e-07 5.66760600e-02]]\n\n [[8.93174171e-01 1.03341590e-04 3.37489211e-04 1.06384896e-01]\n  [9.34488416e-01 3.51081894e-06 1.41056489e-05 6.54938370e-02]\n  [9.47516918e-01 1.68836937e-06 8.31199941e-06 5.24730720e-02]\n  [9.41516936e-01 2.50381527e-06 1.25879151e-05 5.84680587e-02]\n  [9.35521483e-01 3.27297835e-06 1.66070568e-05 6.44586906e-02]]]\nPredicted mask after argmax for 2008_000330: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000330 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000330. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000330.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000330: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96945441e-01 1.22155147e-10 4.45546711e-10 3.05459159e-03]\n  [9.99297857e-01 2.18438299e-15 6.97178335e-15 7.02090736e-04]\n  [9.99680579e-01 1.14569668e-17 7.87212238e-17 3.19404178e-04]\n  [9.99763548e-01 1.34013816e-18 1.57330927e-17 2.36426626e-04]\n  [9.99834418e-01 1.55988893e-19 2.38309804e-18 1.65597492e-04]]\n\n [[9.99386907e-01 1.50660056e-15 1.77748695e-14 6.13073877e-04]\n  [9.99533713e-01 1.09612518e-21 1.59566274e-20 4.66258818e-04]\n  [9.99492049e-01 7.24728880e-24 3.40177068e-22 5.07929130e-04]\n  [9.99497414e-01 2.31008450e-24 2.57640028e-22 5.02611394e-04]\n  [9.99564230e-01 2.32992114e-25 4.82991007e-23 4.35720227e-04]]\n\n [[9.99872088e-01 7.25856199e-18 2.00462841e-16 1.27939362e-04]\n  [9.99884725e-01 3.09185473e-24 1.74391524e-22 1.15287039e-04]\n  [9.99804020e-01 4.51461984e-26 2.02576246e-23 1.95984103e-04]\n  [9.99692023e-01 3.59135398e-26 5.19029360e-23 3.07948212e-04]\n  [9.99717534e-01 3.53645150e-27 1.21046572e-23 2.82503664e-04]]\n\n ...\n\n [[9.41635430e-01 1.33465380e-06 5.52690290e-06 5.83577007e-02]\n  [9.48580682e-01 5.79253179e-09 4.76939164e-08 5.14193773e-02]\n  [9.47561741e-01 1.60698077e-09 2.24808705e-08 5.24382070e-02]\n  [9.48387742e-01 2.48780530e-09 4.09313472e-08 5.16122207e-02]\n  [9.46480453e-01 3.11401327e-09 5.05235676e-08 5.35195135e-02]]\n\n [[9.31071699e-01 3.16521596e-06 1.33462026e-05 6.89117312e-02]\n  [9.43298995e-01 1.69268493e-08 1.27271264e-07 5.67009374e-02]\n  [9.47608888e-01 4.67215333e-09 5.46881864e-08 5.23911305e-02]\n  [9.46045816e-01 6.36980513e-09 8.47613038e-08 5.39540723e-02]\n  [9.43323791e-01 8.33436520e-09 1.16011577e-07 5.66760600e-02]]\n\n [[8.93174171e-01 1.03341590e-04 3.37489211e-04 1.06384896e-01]\n  [9.34488416e-01 3.51081894e-06 1.41056489e-05 6.54938370e-02]\n  [9.47516918e-01 1.68836937e-06 8.31199941e-06 5.24730720e-02]\n  [9.41516936e-01 2.50381527e-06 1.25879151e-05 5.84680587e-02]\n  [9.35521483e-01 3.27297835e-06 1.66070568e-05 6.44586906e-02]]]\nPredicted mask after argmax for 2008_000330: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000330 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000330. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000335.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000335: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99542654e-01 6.30274438e-14 3.39836584e-13 4.57345159e-04]\n  [9.99940038e-01 2.44531747e-20 9.90163886e-20 5.98994047e-05]\n  [9.99981761e-01 8.47935464e-24 1.01567912e-22 1.81934865e-05]\n  [9.99990463e-01 9.13137066e-26 2.69826323e-24 9.50902086e-06]\n  [9.99996305e-01 5.12835952e-28 2.57414342e-26 3.64886932e-06]]\n\n [[9.99947667e-01 1.67724618e-20 4.39751651e-19 5.23031667e-05]\n  [9.99963522e-01 7.43666371e-29 2.49996858e-27 3.65062406e-05]\n  [9.99964356e-01 2.35936454e-32 4.48779067e-30 3.57017743e-05]\n  [9.99972939e-01 5.51422012e-34 4.41489723e-31 2.70503369e-05]\n  [9.99985456e-01 1.24217419e-36 2.96971474e-33 1.45046815e-05]]\n\n [[9.99993920e-01 8.73481936e-24 7.39922398e-22 6.10311417e-06]\n  [9.99994516e-01 1.44673541e-32 3.32660500e-30 5.44287968e-06]\n  [9.99989390e-01 9.23021568e-36 4.69743206e-32 1.05921663e-05]\n  [9.99987841e-01 4.59849745e-37 1.80809178e-32 1.21040011e-05]\n  [9.99993324e-01 7.04802681e-40 1.34128933e-34 6.71211592e-06]]\n\n ...\n\n [[8.95429492e-01 5.43502247e-05 1.51918270e-04 1.04364261e-01]\n  [8.87526274e-01 1.80308177e-06 7.35793810e-06 1.12464532e-01]\n  [8.93460751e-01 7.38216897e-07 4.56184262e-06 1.06533930e-01]\n  [8.93248379e-01 9.11066650e-07 6.35591960e-06 1.06744319e-01]\n  [8.91073227e-01 1.02323111e-06 7.25095697e-06 1.08918428e-01]]\n\n [[8.79868567e-01 1.19900607e-04 3.13416211e-04 1.19698092e-01]\n  [8.80556047e-01 4.93590869e-06 1.74720335e-05 1.19421691e-01]\n  [8.93562734e-01 2.23242523e-06 1.12510997e-05 1.06423691e-01]\n  [8.90399516e-01 2.70319197e-06 1.48302561e-05 1.09582938e-01]\n  [8.81902695e-01 3.05733829e-06 1.75933146e-05 1.18076690e-01]]\n\n [[8.36114287e-01 1.21709192e-03 2.68130889e-03 1.59987360e-01]\n  [8.82993102e-01 1.42073142e-04 3.57928104e-04 1.16506837e-01]\n  [8.93397629e-01 1.05771011e-04 2.88897631e-04 1.06207654e-01]\n  [8.88510287e-01 1.31011839e-04 3.69975751e-04 1.10988662e-01]\n  [8.78863990e-01 1.48059073e-04 4.21734789e-04 1.20566279e-01]]]\nPredicted mask after argmax for 2008_000335: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000335 has shape: (292, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000335. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000335.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000335: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99542654e-01 6.30274438e-14 3.39836584e-13 4.57345159e-04]\n  [9.99940038e-01 2.44531747e-20 9.90163886e-20 5.98994047e-05]\n  [9.99981761e-01 8.47935464e-24 1.01567912e-22 1.81934865e-05]\n  [9.99990463e-01 9.13137066e-26 2.69826323e-24 9.50902086e-06]\n  [9.99996305e-01 5.12835952e-28 2.57414342e-26 3.64886932e-06]]\n\n [[9.99947667e-01 1.67724618e-20 4.39751651e-19 5.23031667e-05]\n  [9.99963522e-01 7.43666371e-29 2.49996858e-27 3.65062406e-05]\n  [9.99964356e-01 2.35936454e-32 4.48779067e-30 3.57017743e-05]\n  [9.99972939e-01 5.51422012e-34 4.41489723e-31 2.70503369e-05]\n  [9.99985456e-01 1.24217419e-36 2.96971474e-33 1.45046815e-05]]\n\n [[9.99993920e-01 8.73481936e-24 7.39922398e-22 6.10311417e-06]\n  [9.99994516e-01 1.44673541e-32 3.32660500e-30 5.44287968e-06]\n  [9.99989390e-01 9.23021568e-36 4.69743206e-32 1.05921663e-05]\n  [9.99987841e-01 4.59849745e-37 1.80809178e-32 1.21040011e-05]\n  [9.99993324e-01 7.04802681e-40 1.34128933e-34 6.71211592e-06]]\n\n ...\n\n [[8.95429492e-01 5.43502247e-05 1.51918270e-04 1.04364261e-01]\n  [8.87526274e-01 1.80308177e-06 7.35793810e-06 1.12464532e-01]\n  [8.93460751e-01 7.38216897e-07 4.56184262e-06 1.06533930e-01]\n  [8.93248379e-01 9.11066650e-07 6.35591960e-06 1.06744319e-01]\n  [8.91073227e-01 1.02323111e-06 7.25095697e-06 1.08918428e-01]]\n\n [[8.79868567e-01 1.19900607e-04 3.13416211e-04 1.19698092e-01]\n  [8.80556047e-01 4.93590869e-06 1.74720335e-05 1.19421691e-01]\n  [8.93562734e-01 2.23242523e-06 1.12510997e-05 1.06423691e-01]\n  [8.90399516e-01 2.70319197e-06 1.48302561e-05 1.09582938e-01]\n  [8.81902695e-01 3.05733829e-06 1.75933146e-05 1.18076690e-01]]\n\n [[8.36114287e-01 1.21709192e-03 2.68130889e-03 1.59987360e-01]\n  [8.82993102e-01 1.42073142e-04 3.57928104e-04 1.16506837e-01]\n  [8.93397629e-01 1.05771011e-04 2.88897631e-04 1.06207654e-01]\n  [8.88510287e-01 1.31011839e-04 3.69975751e-04 1.10988662e-01]\n  [8.78863990e-01 1.48059073e-04 4.21734789e-04 1.20566279e-01]]]\nPredicted mask after argmax for 2008_000335: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000335 has shape: (292, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000335. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000335.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000335: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99542654e-01 6.30274438e-14 3.39836584e-13 4.57345159e-04]\n  [9.99940038e-01 2.44531747e-20 9.90163886e-20 5.98994047e-05]\n  [9.99981761e-01 8.47935464e-24 1.01567912e-22 1.81934865e-05]\n  [9.99990463e-01 9.13137066e-26 2.69826323e-24 9.50902086e-06]\n  [9.99996305e-01 5.12835952e-28 2.57414342e-26 3.64886932e-06]]\n\n [[9.99947667e-01 1.67724618e-20 4.39751651e-19 5.23031667e-05]\n  [9.99963522e-01 7.43666371e-29 2.49996858e-27 3.65062406e-05]\n  [9.99964356e-01 2.35936454e-32 4.48779067e-30 3.57017743e-05]\n  [9.99972939e-01 5.51422012e-34 4.41489723e-31 2.70503369e-05]\n  [9.99985456e-01 1.24217419e-36 2.96971474e-33 1.45046815e-05]]\n\n [[9.99993920e-01 8.73481936e-24 7.39922398e-22 6.10311417e-06]\n  [9.99994516e-01 1.44673541e-32 3.32660500e-30 5.44287968e-06]\n  [9.99989390e-01 9.23021568e-36 4.69743206e-32 1.05921663e-05]\n  [9.99987841e-01 4.59849745e-37 1.80809178e-32 1.21040011e-05]\n  [9.99993324e-01 7.04802681e-40 1.34128933e-34 6.71211592e-06]]\n\n ...\n\n [[8.95429492e-01 5.43502247e-05 1.51918270e-04 1.04364261e-01]\n  [8.87526274e-01 1.80308177e-06 7.35793810e-06 1.12464532e-01]\n  [8.93460751e-01 7.38216897e-07 4.56184262e-06 1.06533930e-01]\n  [8.93248379e-01 9.11066650e-07 6.35591960e-06 1.06744319e-01]\n  [8.91073227e-01 1.02323111e-06 7.25095697e-06 1.08918428e-01]]\n\n [[8.79868567e-01 1.19900607e-04 3.13416211e-04 1.19698092e-01]\n  [8.80556047e-01 4.93590869e-06 1.74720335e-05 1.19421691e-01]\n  [8.93562734e-01 2.23242523e-06 1.12510997e-05 1.06423691e-01]\n  [8.90399516e-01 2.70319197e-06 1.48302561e-05 1.09582938e-01]\n  [8.81902695e-01 3.05733829e-06 1.75933146e-05 1.18076690e-01]]\n\n [[8.36114287e-01 1.21709192e-03 2.68130889e-03 1.59987360e-01]\n  [8.82993102e-01 1.42073142e-04 3.57928104e-04 1.16506837e-01]\n  [8.93397629e-01 1.05771011e-04 2.88897631e-04 1.06207654e-01]\n  [8.88510287e-01 1.31011839e-04 3.69975751e-04 1.10988662e-01]\n  [8.78863990e-01 1.48059073e-04 4.21734789e-04 1.20566279e-01]]]\nPredicted mask after argmax for 2008_000335: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000335 has shape: (292, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000335. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000335.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000335: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99542654e-01 6.30274438e-14 3.39836584e-13 4.57345159e-04]\n  [9.99940038e-01 2.44531747e-20 9.90163886e-20 5.98994047e-05]\n  [9.99981761e-01 8.47935464e-24 1.01567912e-22 1.81934865e-05]\n  [9.99990463e-01 9.13137066e-26 2.69826323e-24 9.50902086e-06]\n  [9.99996305e-01 5.12835952e-28 2.57414342e-26 3.64886932e-06]]\n\n [[9.99947667e-01 1.67724618e-20 4.39751651e-19 5.23031667e-05]\n  [9.99963522e-01 7.43666371e-29 2.49996858e-27 3.65062406e-05]\n  [9.99964356e-01 2.35936454e-32 4.48779067e-30 3.57017743e-05]\n  [9.99972939e-01 5.51422012e-34 4.41489723e-31 2.70503369e-05]\n  [9.99985456e-01 1.24217419e-36 2.96971474e-33 1.45046815e-05]]\n\n [[9.99993920e-01 8.73481936e-24 7.39922398e-22 6.10311417e-06]\n  [9.99994516e-01 1.44673541e-32 3.32660500e-30 5.44287968e-06]\n  [9.99989390e-01 9.23021568e-36 4.69743206e-32 1.05921663e-05]\n  [9.99987841e-01 4.59849745e-37 1.80809178e-32 1.21040011e-05]\n  [9.99993324e-01 7.04802681e-40 1.34128933e-34 6.71211592e-06]]\n\n ...\n\n [[8.95429492e-01 5.43502247e-05 1.51918270e-04 1.04364261e-01]\n  [8.87526274e-01 1.80308177e-06 7.35793810e-06 1.12464532e-01]\n  [8.93460751e-01 7.38216897e-07 4.56184262e-06 1.06533930e-01]\n  [8.93248379e-01 9.11066650e-07 6.35591960e-06 1.06744319e-01]\n  [8.91073227e-01 1.02323111e-06 7.25095697e-06 1.08918428e-01]]\n\n [[8.79868567e-01 1.19900607e-04 3.13416211e-04 1.19698092e-01]\n  [8.80556047e-01 4.93590869e-06 1.74720335e-05 1.19421691e-01]\n  [8.93562734e-01 2.23242523e-06 1.12510997e-05 1.06423691e-01]\n  [8.90399516e-01 2.70319197e-06 1.48302561e-05 1.09582938e-01]\n  [8.81902695e-01 3.05733829e-06 1.75933146e-05 1.18076690e-01]]\n\n [[8.36114287e-01 1.21709192e-03 2.68130889e-03 1.59987360e-01]\n  [8.82993102e-01 1.42073142e-04 3.57928104e-04 1.16506837e-01]\n  [8.93397629e-01 1.05771011e-04 2.88897631e-04 1.06207654e-01]\n  [8.88510287e-01 1.31011839e-04 3.69975751e-04 1.10988662e-01]\n  [8.78863990e-01 1.48059073e-04 4.21734789e-04 1.20566279e-01]]]\nPredicted mask after argmax for 2008_000335: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000335 has shape: (292, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000335. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000336.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000336: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69686508e-01 1.64949677e-06 3.39712028e-06 3.03084906e-02]\n  [9.84616160e-01 4.98369346e-09 9.04313602e-09 1.53838582e-02]\n  [9.88952875e-01 4.01727013e-10 1.18884724e-09 1.10471537e-02]\n  [9.89852428e-01 1.59164085e-10 6.67214506e-10 1.01476116e-02]\n  [9.91350770e-01 4.84254130e-11 2.50610477e-10 8.64917692e-03]]\n\n [[9.89155948e-01 1.79631188e-09 7.58740359e-09 1.08441105e-02]\n  [9.88937616e-01 9.49925902e-13 4.32845686e-12 1.10624330e-02]\n  [9.86799359e-01 1.03528873e-13 9.63276334e-13 1.32006537e-02]\n  [9.85893846e-01 8.10405955e-14 1.29596464e-12 1.41061377e-02]\n  [9.87017214e-01 2.06255521e-14 4.92047538e-13 1.29828090e-02]]\n\n [[9.95620072e-01 6.66507058e-11 4.56214788e-10 4.37986571e-03]\n  [9.94863987e-01 2.79061357e-14 2.67352058e-13 5.13597950e-03]\n  [9.92195010e-01 5.20841703e-15 1.73335887e-13 7.80500332e-03]\n  [9.88884807e-01 7.48622711e-15 4.81962181e-13 1.11151394e-02]\n  [9.89418924e-01 1.94551948e-15 2.03370795e-13 1.05811674e-02]]\n\n ...\n\n [[9.61583018e-01 2.81585333e-08 2.25152178e-07 3.84167321e-02]\n  [9.77912307e-01 3.38013580e-12 9.63018137e-11 2.20876466e-02]\n  [9.89243090e-01 1.66897695e-14 1.39044689e-12 1.07569797e-02]\n  [9.92273927e-01 2.43334333e-15 2.94984604e-13 7.72614172e-03]\n  [9.93720472e-01 6.44887105e-16 9.51767080e-14 6.27947878e-03]]\n\n [[9.51255977e-01 1.68074990e-07 1.11576287e-06 4.87427302e-02]\n  [9.71613288e-01 7.09532641e-11 1.11572418e-09 2.83867326e-02]\n  [9.83571887e-01 1.12525093e-12 4.00797277e-11 1.64280999e-02]\n  [9.86263692e-01 2.73972604e-13 1.44084735e-11 1.37362666e-02]\n  [9.88643825e-01 7.61021901e-14 5.34831944e-12 1.13561610e-02]]\n\n [[9.24479425e-01 1.51604181e-05 6.83325488e-05 7.54370764e-02]\n  [9.67664599e-01 1.06349376e-07 6.64700792e-07 3.23346369e-02]\n  [9.81189966e-01 9.63960645e-09 8.39991614e-08 1.88099109e-02]\n  [9.83233750e-01 5.27920729e-09 5.44726788e-08 1.67662352e-02]\n  [9.85424697e-01 2.61147859e-09 3.15429070e-08 1.45753585e-02]]]\nPredicted mask after argmax for 2008_000336: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000336 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000336. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000336.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000336: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69686508e-01 1.64949677e-06 3.39712028e-06 3.03084906e-02]\n  [9.84616160e-01 4.98369346e-09 9.04313602e-09 1.53838582e-02]\n  [9.88952875e-01 4.01727013e-10 1.18884724e-09 1.10471537e-02]\n  [9.89852428e-01 1.59164085e-10 6.67214506e-10 1.01476116e-02]\n  [9.91350770e-01 4.84254130e-11 2.50610477e-10 8.64917692e-03]]\n\n [[9.89155948e-01 1.79631188e-09 7.58740359e-09 1.08441105e-02]\n  [9.88937616e-01 9.49925902e-13 4.32845686e-12 1.10624330e-02]\n  [9.86799359e-01 1.03528873e-13 9.63276334e-13 1.32006537e-02]\n  [9.85893846e-01 8.10405955e-14 1.29596464e-12 1.41061377e-02]\n  [9.87017214e-01 2.06255521e-14 4.92047538e-13 1.29828090e-02]]\n\n [[9.95620072e-01 6.66507058e-11 4.56214788e-10 4.37986571e-03]\n  [9.94863987e-01 2.79061357e-14 2.67352058e-13 5.13597950e-03]\n  [9.92195010e-01 5.20841703e-15 1.73335887e-13 7.80500332e-03]\n  [9.88884807e-01 7.48622711e-15 4.81962181e-13 1.11151394e-02]\n  [9.89418924e-01 1.94551948e-15 2.03370795e-13 1.05811674e-02]]\n\n ...\n\n [[9.61583018e-01 2.81585333e-08 2.25152178e-07 3.84167321e-02]\n  [9.77912307e-01 3.38013580e-12 9.63018137e-11 2.20876466e-02]\n  [9.89243090e-01 1.66897695e-14 1.39044689e-12 1.07569797e-02]\n  [9.92273927e-01 2.43334333e-15 2.94984604e-13 7.72614172e-03]\n  [9.93720472e-01 6.44887105e-16 9.51767080e-14 6.27947878e-03]]\n\n [[9.51255977e-01 1.68074990e-07 1.11576287e-06 4.87427302e-02]\n  [9.71613288e-01 7.09532641e-11 1.11572418e-09 2.83867326e-02]\n  [9.83571887e-01 1.12525093e-12 4.00797277e-11 1.64280999e-02]\n  [9.86263692e-01 2.73972604e-13 1.44084735e-11 1.37362666e-02]\n  [9.88643825e-01 7.61021901e-14 5.34831944e-12 1.13561610e-02]]\n\n [[9.24479425e-01 1.51604181e-05 6.83325488e-05 7.54370764e-02]\n  [9.67664599e-01 1.06349376e-07 6.64700792e-07 3.23346369e-02]\n  [9.81189966e-01 9.63960645e-09 8.39991614e-08 1.88099109e-02]\n  [9.83233750e-01 5.27920729e-09 5.44726788e-08 1.67662352e-02]\n  [9.85424697e-01 2.61147859e-09 3.15429070e-08 1.45753585e-02]]]\nPredicted mask after argmax for 2008_000336: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000336 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000336. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000336.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000336: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69686508e-01 1.64949677e-06 3.39712028e-06 3.03084906e-02]\n  [9.84616160e-01 4.98369346e-09 9.04313602e-09 1.53838582e-02]\n  [9.88952875e-01 4.01727013e-10 1.18884724e-09 1.10471537e-02]\n  [9.89852428e-01 1.59164085e-10 6.67214506e-10 1.01476116e-02]\n  [9.91350770e-01 4.84254130e-11 2.50610477e-10 8.64917692e-03]]\n\n [[9.89155948e-01 1.79631188e-09 7.58740359e-09 1.08441105e-02]\n  [9.88937616e-01 9.49925902e-13 4.32845686e-12 1.10624330e-02]\n  [9.86799359e-01 1.03528873e-13 9.63276334e-13 1.32006537e-02]\n  [9.85893846e-01 8.10405955e-14 1.29596464e-12 1.41061377e-02]\n  [9.87017214e-01 2.06255521e-14 4.92047538e-13 1.29828090e-02]]\n\n [[9.95620072e-01 6.66507058e-11 4.56214788e-10 4.37986571e-03]\n  [9.94863987e-01 2.79061357e-14 2.67352058e-13 5.13597950e-03]\n  [9.92195010e-01 5.20841703e-15 1.73335887e-13 7.80500332e-03]\n  [9.88884807e-01 7.48622711e-15 4.81962181e-13 1.11151394e-02]\n  [9.89418924e-01 1.94551948e-15 2.03370795e-13 1.05811674e-02]]\n\n ...\n\n [[9.61583018e-01 2.81585333e-08 2.25152178e-07 3.84167321e-02]\n  [9.77912307e-01 3.38013580e-12 9.63018137e-11 2.20876466e-02]\n  [9.89243090e-01 1.66897695e-14 1.39044689e-12 1.07569797e-02]\n  [9.92273927e-01 2.43334333e-15 2.94984604e-13 7.72614172e-03]\n  [9.93720472e-01 6.44887105e-16 9.51767080e-14 6.27947878e-03]]\n\n [[9.51255977e-01 1.68074990e-07 1.11576287e-06 4.87427302e-02]\n  [9.71613288e-01 7.09532641e-11 1.11572418e-09 2.83867326e-02]\n  [9.83571887e-01 1.12525093e-12 4.00797277e-11 1.64280999e-02]\n  [9.86263692e-01 2.73972604e-13 1.44084735e-11 1.37362666e-02]\n  [9.88643825e-01 7.61021901e-14 5.34831944e-12 1.13561610e-02]]\n\n [[9.24479425e-01 1.51604181e-05 6.83325488e-05 7.54370764e-02]\n  [9.67664599e-01 1.06349376e-07 6.64700792e-07 3.23346369e-02]\n  [9.81189966e-01 9.63960645e-09 8.39991614e-08 1.88099109e-02]\n  [9.83233750e-01 5.27920729e-09 5.44726788e-08 1.67662352e-02]\n  [9.85424697e-01 2.61147859e-09 3.15429070e-08 1.45753585e-02]]]\nPredicted mask after argmax for 2008_000336: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000336 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000336. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000336.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000336: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69686508e-01 1.64949677e-06 3.39712028e-06 3.03084906e-02]\n  [9.84616160e-01 4.98369346e-09 9.04313602e-09 1.53838582e-02]\n  [9.88952875e-01 4.01727013e-10 1.18884724e-09 1.10471537e-02]\n  [9.89852428e-01 1.59164085e-10 6.67214506e-10 1.01476116e-02]\n  [9.91350770e-01 4.84254130e-11 2.50610477e-10 8.64917692e-03]]\n\n [[9.89155948e-01 1.79631188e-09 7.58740359e-09 1.08441105e-02]\n  [9.88937616e-01 9.49925902e-13 4.32845686e-12 1.10624330e-02]\n  [9.86799359e-01 1.03528873e-13 9.63276334e-13 1.32006537e-02]\n  [9.85893846e-01 8.10405955e-14 1.29596464e-12 1.41061377e-02]\n  [9.87017214e-01 2.06255521e-14 4.92047538e-13 1.29828090e-02]]\n\n [[9.95620072e-01 6.66507058e-11 4.56214788e-10 4.37986571e-03]\n  [9.94863987e-01 2.79061357e-14 2.67352058e-13 5.13597950e-03]\n  [9.92195010e-01 5.20841703e-15 1.73335887e-13 7.80500332e-03]\n  [9.88884807e-01 7.48622711e-15 4.81962181e-13 1.11151394e-02]\n  [9.89418924e-01 1.94551948e-15 2.03370795e-13 1.05811674e-02]]\n\n ...\n\n [[9.61583018e-01 2.81585333e-08 2.25152178e-07 3.84167321e-02]\n  [9.77912307e-01 3.38013580e-12 9.63018137e-11 2.20876466e-02]\n  [9.89243090e-01 1.66897695e-14 1.39044689e-12 1.07569797e-02]\n  [9.92273927e-01 2.43334333e-15 2.94984604e-13 7.72614172e-03]\n  [9.93720472e-01 6.44887105e-16 9.51767080e-14 6.27947878e-03]]\n\n [[9.51255977e-01 1.68074990e-07 1.11576287e-06 4.87427302e-02]\n  [9.71613288e-01 7.09532641e-11 1.11572418e-09 2.83867326e-02]\n  [9.83571887e-01 1.12525093e-12 4.00797277e-11 1.64280999e-02]\n  [9.86263692e-01 2.73972604e-13 1.44084735e-11 1.37362666e-02]\n  [9.88643825e-01 7.61021901e-14 5.34831944e-12 1.13561610e-02]]\n\n [[9.24479425e-01 1.51604181e-05 6.83325488e-05 7.54370764e-02]\n  [9.67664599e-01 1.06349376e-07 6.64700792e-07 3.23346369e-02]\n  [9.81189966e-01 9.63960645e-09 8.39991614e-08 1.88099109e-02]\n  [9.83233750e-01 5.27920729e-09 5.44726788e-08 1.67662352e-02]\n  [9.85424697e-01 2.61147859e-09 3.15429070e-08 1.45753585e-02]]]\nPredicted mask after argmax for 2008_000336: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000336 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000336. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000345.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000345: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60055411e-01 4.97274368e-06 9.76967294e-06 3.99299301e-02]\n  [9.77906227e-01 2.57288360e-08 4.59927598e-08 2.20937021e-02]\n  [9.83392477e-01 2.92524516e-09 8.24833091e-09 1.66075733e-02]\n  [9.83868718e-01 1.72871928e-09 6.52375798e-09 1.61313210e-02]\n  [9.84872460e-01 8.49530835e-10 3.79414633e-09 1.51275601e-02]]\n\n [[9.84249175e-01 9.90569404e-09 3.79336775e-08 1.57508403e-02]\n  [9.83901560e-01 1.04006196e-11 4.25716302e-11 1.60984639e-02]\n  [9.81288671e-01 1.54594013e-12 1.22636666e-11 1.87113415e-02]\n  [9.79240239e-01 1.71638203e-12 2.16176365e-11 2.07597166e-02]\n  [9.79279160e-01 8.09325859e-13 1.43175454e-11 2.07208190e-02]]\n\n [[9.93048906e-01 5.04630671e-10 3.02207770e-09 6.95102522e-03]\n  [9.92059827e-01 3.96674908e-13 3.23514783e-12 7.94012658e-03]\n  [9.88713682e-01 9.07117399e-14 2.28409847e-12 1.12863174e-02]\n  [9.83675003e-01 1.63864487e-13 7.21619856e-12 1.63250845e-02]\n  [9.83298063e-01 7.53445768e-14 4.95743117e-12 1.67019628e-02]]\n\n ...\n\n [[9.33328569e-01 1.11876000e-06 5.24487541e-06 6.66650608e-02]\n  [9.46465850e-01 2.66071787e-09 3.17117745e-08 5.35341278e-02]\n  [9.57656980e-01 2.93935237e-10 5.82010395e-09 4.23429944e-02]\n  [9.60371077e-01 2.81203311e-10 6.19975715e-09 3.96289304e-02]\n  [9.60865140e-01 2.55660659e-10 5.76166892e-09 3.91348414e-02]]\n\n [[9.27193642e-01 2.27215196e-06 1.01767964e-05 7.27939606e-02]\n  [9.45841134e-01 7.44357109e-09 6.81092445e-08 5.41587360e-02]\n  [9.56488967e-01 1.04309539e-09 1.42287711e-08 4.35110331e-02]\n  [9.58643615e-01 9.16152487e-10 1.48329553e-08 4.13563810e-02]\n  [9.58701551e-01 8.05086608e-10 1.44207188e-08 4.12984006e-02]]\n\n [[8.97207260e-01 6.69289657e-05 2.24191317e-04 1.02501616e-01]\n  [9.45883691e-01 1.43063130e-06 6.06265849e-06 5.41087426e-02]\n  [9.61310506e-01 4.25859412e-07 2.17067281e-06 3.86868156e-02]\n  [9.61544573e-01 4.25829455e-07 2.30376941e-06 3.84527221e-02]\n  [9.60292578e-01 4.13991813e-07 2.31936110e-06 3.97046357e-02]]]\nPredicted mask after argmax for 2008_000345: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000345 has shape: (347, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000345. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000345.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000345: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60055411e-01 4.97274368e-06 9.76967294e-06 3.99299301e-02]\n  [9.77906227e-01 2.57288360e-08 4.59927598e-08 2.20937021e-02]\n  [9.83392477e-01 2.92524516e-09 8.24833091e-09 1.66075733e-02]\n  [9.83868718e-01 1.72871928e-09 6.52375798e-09 1.61313210e-02]\n  [9.84872460e-01 8.49530835e-10 3.79414633e-09 1.51275601e-02]]\n\n [[9.84249175e-01 9.90569404e-09 3.79336775e-08 1.57508403e-02]\n  [9.83901560e-01 1.04006196e-11 4.25716302e-11 1.60984639e-02]\n  [9.81288671e-01 1.54594013e-12 1.22636666e-11 1.87113415e-02]\n  [9.79240239e-01 1.71638203e-12 2.16176365e-11 2.07597166e-02]\n  [9.79279160e-01 8.09325859e-13 1.43175454e-11 2.07208190e-02]]\n\n [[9.93048906e-01 5.04630671e-10 3.02207770e-09 6.95102522e-03]\n  [9.92059827e-01 3.96674908e-13 3.23514783e-12 7.94012658e-03]\n  [9.88713682e-01 9.07117399e-14 2.28409847e-12 1.12863174e-02]\n  [9.83675003e-01 1.63864487e-13 7.21619856e-12 1.63250845e-02]\n  [9.83298063e-01 7.53445768e-14 4.95743117e-12 1.67019628e-02]]\n\n ...\n\n [[9.33328569e-01 1.11876000e-06 5.24487541e-06 6.66650608e-02]\n  [9.46465850e-01 2.66071787e-09 3.17117745e-08 5.35341278e-02]\n  [9.57656980e-01 2.93935237e-10 5.82010395e-09 4.23429944e-02]\n  [9.60371077e-01 2.81203311e-10 6.19975715e-09 3.96289304e-02]\n  [9.60865140e-01 2.55660659e-10 5.76166892e-09 3.91348414e-02]]\n\n [[9.27193642e-01 2.27215196e-06 1.01767964e-05 7.27939606e-02]\n  [9.45841134e-01 7.44357109e-09 6.81092445e-08 5.41587360e-02]\n  [9.56488967e-01 1.04309539e-09 1.42287711e-08 4.35110331e-02]\n  [9.58643615e-01 9.16152487e-10 1.48329553e-08 4.13563810e-02]\n  [9.58701551e-01 8.05086608e-10 1.44207188e-08 4.12984006e-02]]\n\n [[8.97207260e-01 6.69289657e-05 2.24191317e-04 1.02501616e-01]\n  [9.45883691e-01 1.43063130e-06 6.06265849e-06 5.41087426e-02]\n  [9.61310506e-01 4.25859412e-07 2.17067281e-06 3.86868156e-02]\n  [9.61544573e-01 4.25829455e-07 2.30376941e-06 3.84527221e-02]\n  [9.60292578e-01 4.13991813e-07 2.31936110e-06 3.97046357e-02]]]\nPredicted mask after argmax for 2008_000345: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000345 has shape: (347, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000345. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000345.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000345: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60055411e-01 4.97274368e-06 9.76967294e-06 3.99299301e-02]\n  [9.77906227e-01 2.57288360e-08 4.59927598e-08 2.20937021e-02]\n  [9.83392477e-01 2.92524516e-09 8.24833091e-09 1.66075733e-02]\n  [9.83868718e-01 1.72871928e-09 6.52375798e-09 1.61313210e-02]\n  [9.84872460e-01 8.49530835e-10 3.79414633e-09 1.51275601e-02]]\n\n [[9.84249175e-01 9.90569404e-09 3.79336775e-08 1.57508403e-02]\n  [9.83901560e-01 1.04006196e-11 4.25716302e-11 1.60984639e-02]\n  [9.81288671e-01 1.54594013e-12 1.22636666e-11 1.87113415e-02]\n  [9.79240239e-01 1.71638203e-12 2.16176365e-11 2.07597166e-02]\n  [9.79279160e-01 8.09325859e-13 1.43175454e-11 2.07208190e-02]]\n\n [[9.93048906e-01 5.04630671e-10 3.02207770e-09 6.95102522e-03]\n  [9.92059827e-01 3.96674908e-13 3.23514783e-12 7.94012658e-03]\n  [9.88713682e-01 9.07117399e-14 2.28409847e-12 1.12863174e-02]\n  [9.83675003e-01 1.63864487e-13 7.21619856e-12 1.63250845e-02]\n  [9.83298063e-01 7.53445768e-14 4.95743117e-12 1.67019628e-02]]\n\n ...\n\n [[9.33328569e-01 1.11876000e-06 5.24487541e-06 6.66650608e-02]\n  [9.46465850e-01 2.66071787e-09 3.17117745e-08 5.35341278e-02]\n  [9.57656980e-01 2.93935237e-10 5.82010395e-09 4.23429944e-02]\n  [9.60371077e-01 2.81203311e-10 6.19975715e-09 3.96289304e-02]\n  [9.60865140e-01 2.55660659e-10 5.76166892e-09 3.91348414e-02]]\n\n [[9.27193642e-01 2.27215196e-06 1.01767964e-05 7.27939606e-02]\n  [9.45841134e-01 7.44357109e-09 6.81092445e-08 5.41587360e-02]\n  [9.56488967e-01 1.04309539e-09 1.42287711e-08 4.35110331e-02]\n  [9.58643615e-01 9.16152487e-10 1.48329553e-08 4.13563810e-02]\n  [9.58701551e-01 8.05086608e-10 1.44207188e-08 4.12984006e-02]]\n\n [[8.97207260e-01 6.69289657e-05 2.24191317e-04 1.02501616e-01]\n  [9.45883691e-01 1.43063130e-06 6.06265849e-06 5.41087426e-02]\n  [9.61310506e-01 4.25859412e-07 2.17067281e-06 3.86868156e-02]\n  [9.61544573e-01 4.25829455e-07 2.30376941e-06 3.84527221e-02]\n  [9.60292578e-01 4.13991813e-07 2.31936110e-06 3.97046357e-02]]]\nPredicted mask after argmax for 2008_000345: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000345 has shape: (347, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000345. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000345.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000345: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60055411e-01 4.97274368e-06 9.76967294e-06 3.99299301e-02]\n  [9.77906227e-01 2.57288360e-08 4.59927598e-08 2.20937021e-02]\n  [9.83392477e-01 2.92524516e-09 8.24833091e-09 1.66075733e-02]\n  [9.83868718e-01 1.72871928e-09 6.52375798e-09 1.61313210e-02]\n  [9.84872460e-01 8.49530835e-10 3.79414633e-09 1.51275601e-02]]\n\n [[9.84249175e-01 9.90569404e-09 3.79336775e-08 1.57508403e-02]\n  [9.83901560e-01 1.04006196e-11 4.25716302e-11 1.60984639e-02]\n  [9.81288671e-01 1.54594013e-12 1.22636666e-11 1.87113415e-02]\n  [9.79240239e-01 1.71638203e-12 2.16176365e-11 2.07597166e-02]\n  [9.79279160e-01 8.09325859e-13 1.43175454e-11 2.07208190e-02]]\n\n [[9.93048906e-01 5.04630671e-10 3.02207770e-09 6.95102522e-03]\n  [9.92059827e-01 3.96674908e-13 3.23514783e-12 7.94012658e-03]\n  [9.88713682e-01 9.07117399e-14 2.28409847e-12 1.12863174e-02]\n  [9.83675003e-01 1.63864487e-13 7.21619856e-12 1.63250845e-02]\n  [9.83298063e-01 7.53445768e-14 4.95743117e-12 1.67019628e-02]]\n\n ...\n\n [[9.33328569e-01 1.11876000e-06 5.24487541e-06 6.66650608e-02]\n  [9.46465850e-01 2.66071787e-09 3.17117745e-08 5.35341278e-02]\n  [9.57656980e-01 2.93935237e-10 5.82010395e-09 4.23429944e-02]\n  [9.60371077e-01 2.81203311e-10 6.19975715e-09 3.96289304e-02]\n  [9.60865140e-01 2.55660659e-10 5.76166892e-09 3.91348414e-02]]\n\n [[9.27193642e-01 2.27215196e-06 1.01767964e-05 7.27939606e-02]\n  [9.45841134e-01 7.44357109e-09 6.81092445e-08 5.41587360e-02]\n  [9.56488967e-01 1.04309539e-09 1.42287711e-08 4.35110331e-02]\n  [9.58643615e-01 9.16152487e-10 1.48329553e-08 4.13563810e-02]\n  [9.58701551e-01 8.05086608e-10 1.44207188e-08 4.12984006e-02]]\n\n [[8.97207260e-01 6.69289657e-05 2.24191317e-04 1.02501616e-01]\n  [9.45883691e-01 1.43063130e-06 6.06265849e-06 5.41087426e-02]\n  [9.61310506e-01 4.25859412e-07 2.17067281e-06 3.86868156e-02]\n  [9.61544573e-01 4.25829455e-07 2.30376941e-06 3.84527221e-02]\n  [9.60292578e-01 4.13991813e-07 2.31936110e-06 3.97046357e-02]]]\nPredicted mask after argmax for 2008_000345: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000345 has shape: (347, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000345. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000358.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000358: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60003376e-01 5.52555366e-06 1.05279742e-05 3.99806052e-02]\n  [9.76292312e-01 3.88948003e-08 6.38820339e-08 2.37075742e-02]\n  [9.80674028e-01 6.01769612e-09 1.58719757e-08 1.93259958e-02]\n  [9.80107844e-01 4.08978940e-09 1.50169193e-08 1.98921114e-02]\n  [9.81054306e-01 2.04253570e-09 9.08159503e-09 1.89456288e-02]]\n\n [[9.85243559e-01 9.97988980e-09 3.66201292e-08 1.47564225e-02]\n  [9.83436525e-01 1.48681987e-11 5.52395248e-11 1.65635124e-02]\n  [9.78685021e-01 3.37733314e-12 2.48563548e-11 2.13149264e-02]\n  [9.75078702e-01 4.72751959e-12 5.75550892e-11 2.49212645e-02]\n  [9.74977970e-01 2.27611484e-12 4.01980046e-11 2.50220206e-02]]\n\n [[9.93710816e-01 4.17013785e-10 2.35298758e-09 6.28918363e-03]\n  [9.92052913e-01 4.79900082e-13 3.40875830e-12 7.94708263e-03]\n  [9.87750232e-01 1.73129076e-13 3.99048416e-12 1.22497892e-02]\n  [9.80280578e-01 4.34573791e-13 1.76700599e-11 1.97194424e-02]\n  [9.79964614e-01 1.93136156e-13 1.20135360e-11 2.00353730e-02]]\n\n ...\n\n [[9.47460294e-01 2.63932748e-07 1.53686949e-06 5.25378399e-02]\n  [9.64941740e-01 1.77599935e-10 2.91819391e-09 3.50582562e-02]\n  [9.78059232e-01 3.85470171e-12 1.45195564e-10 2.19406970e-02]\n  [9.84072387e-01 7.42703262e-13 3.71557229e-11 1.59276333e-02]\n  [9.88175273e-01 1.02411081e-13 6.85726606e-12 1.18247382e-02]]\n\n [[9.38193440e-01 9.39821291e-07 4.85280043e-06 6.18008859e-02]\n  [9.59067464e-01 1.36326728e-09 1.48142316e-08 4.09325249e-02]\n  [9.72163558e-01 6.45355575e-11 1.31713118e-09 2.78363880e-02]\n  [9.77032304e-01 1.79425329e-11 5.06229947e-10 2.29676310e-02]\n  [9.81901944e-01 3.59034525e-12 1.39663808e-10 1.80980638e-02]]\n\n [[9.06877339e-01 4.43921563e-05 1.65462741e-04 9.29127783e-02]\n  [9.54329669e-01 6.43423334e-07 3.12347879e-06 4.56665866e-02]\n  [9.70012486e-01 1.08209846e-07 6.74796297e-07 2.99866758e-02]\n  [9.72440481e-01 6.32147206e-08 4.48751962e-07 2.75590010e-02]\n  [9.76117253e-01 2.69319784e-08 2.24551471e-07 2.38825325e-02]]]\nPredicted mask after argmax for 2008_000358: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000358 has shape: (310, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000358. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000358.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000358: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60003376e-01 5.52555366e-06 1.05279742e-05 3.99806052e-02]\n  [9.76292312e-01 3.88948003e-08 6.38820339e-08 2.37075742e-02]\n  [9.80674028e-01 6.01769612e-09 1.58719757e-08 1.93259958e-02]\n  [9.80107844e-01 4.08978940e-09 1.50169193e-08 1.98921114e-02]\n  [9.81054306e-01 2.04253570e-09 9.08159503e-09 1.89456288e-02]]\n\n [[9.85243559e-01 9.97988980e-09 3.66201292e-08 1.47564225e-02]\n  [9.83436525e-01 1.48681987e-11 5.52395248e-11 1.65635124e-02]\n  [9.78685021e-01 3.37733314e-12 2.48563548e-11 2.13149264e-02]\n  [9.75078702e-01 4.72751959e-12 5.75550892e-11 2.49212645e-02]\n  [9.74977970e-01 2.27611484e-12 4.01980046e-11 2.50220206e-02]]\n\n [[9.93710816e-01 4.17013785e-10 2.35298758e-09 6.28918363e-03]\n  [9.92052913e-01 4.79900082e-13 3.40875830e-12 7.94708263e-03]\n  [9.87750232e-01 1.73129076e-13 3.99048416e-12 1.22497892e-02]\n  [9.80280578e-01 4.34573791e-13 1.76700599e-11 1.97194424e-02]\n  [9.79964614e-01 1.93136156e-13 1.20135360e-11 2.00353730e-02]]\n\n ...\n\n [[9.47460294e-01 2.63932748e-07 1.53686949e-06 5.25378399e-02]\n  [9.64941740e-01 1.77599935e-10 2.91819391e-09 3.50582562e-02]\n  [9.78059232e-01 3.85470171e-12 1.45195564e-10 2.19406970e-02]\n  [9.84072387e-01 7.42703262e-13 3.71557229e-11 1.59276333e-02]\n  [9.88175273e-01 1.02411081e-13 6.85726606e-12 1.18247382e-02]]\n\n [[9.38193440e-01 9.39821291e-07 4.85280043e-06 6.18008859e-02]\n  [9.59067464e-01 1.36326728e-09 1.48142316e-08 4.09325249e-02]\n  [9.72163558e-01 6.45355575e-11 1.31713118e-09 2.78363880e-02]\n  [9.77032304e-01 1.79425329e-11 5.06229947e-10 2.29676310e-02]\n  [9.81901944e-01 3.59034525e-12 1.39663808e-10 1.80980638e-02]]\n\n [[9.06877339e-01 4.43921563e-05 1.65462741e-04 9.29127783e-02]\n  [9.54329669e-01 6.43423334e-07 3.12347879e-06 4.56665866e-02]\n  [9.70012486e-01 1.08209846e-07 6.74796297e-07 2.99866758e-02]\n  [9.72440481e-01 6.32147206e-08 4.48751962e-07 2.75590010e-02]\n  [9.76117253e-01 2.69319784e-08 2.24551471e-07 2.38825325e-02]]]\nPredicted mask after argmax for 2008_000358: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000358 has shape: (310, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000358. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000358.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000358: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60003376e-01 5.52555366e-06 1.05279742e-05 3.99806052e-02]\n  [9.76292312e-01 3.88948003e-08 6.38820339e-08 2.37075742e-02]\n  [9.80674028e-01 6.01769612e-09 1.58719757e-08 1.93259958e-02]\n  [9.80107844e-01 4.08978940e-09 1.50169193e-08 1.98921114e-02]\n  [9.81054306e-01 2.04253570e-09 9.08159503e-09 1.89456288e-02]]\n\n [[9.85243559e-01 9.97988980e-09 3.66201292e-08 1.47564225e-02]\n  [9.83436525e-01 1.48681987e-11 5.52395248e-11 1.65635124e-02]\n  [9.78685021e-01 3.37733314e-12 2.48563548e-11 2.13149264e-02]\n  [9.75078702e-01 4.72751959e-12 5.75550892e-11 2.49212645e-02]\n  [9.74977970e-01 2.27611484e-12 4.01980046e-11 2.50220206e-02]]\n\n [[9.93710816e-01 4.17013785e-10 2.35298758e-09 6.28918363e-03]\n  [9.92052913e-01 4.79900082e-13 3.40875830e-12 7.94708263e-03]\n  [9.87750232e-01 1.73129076e-13 3.99048416e-12 1.22497892e-02]\n  [9.80280578e-01 4.34573791e-13 1.76700599e-11 1.97194424e-02]\n  [9.79964614e-01 1.93136156e-13 1.20135360e-11 2.00353730e-02]]\n\n ...\n\n [[9.47460294e-01 2.63932748e-07 1.53686949e-06 5.25378399e-02]\n  [9.64941740e-01 1.77599935e-10 2.91819391e-09 3.50582562e-02]\n  [9.78059232e-01 3.85470171e-12 1.45195564e-10 2.19406970e-02]\n  [9.84072387e-01 7.42703262e-13 3.71557229e-11 1.59276333e-02]\n  [9.88175273e-01 1.02411081e-13 6.85726606e-12 1.18247382e-02]]\n\n [[9.38193440e-01 9.39821291e-07 4.85280043e-06 6.18008859e-02]\n  [9.59067464e-01 1.36326728e-09 1.48142316e-08 4.09325249e-02]\n  [9.72163558e-01 6.45355575e-11 1.31713118e-09 2.78363880e-02]\n  [9.77032304e-01 1.79425329e-11 5.06229947e-10 2.29676310e-02]\n  [9.81901944e-01 3.59034525e-12 1.39663808e-10 1.80980638e-02]]\n\n [[9.06877339e-01 4.43921563e-05 1.65462741e-04 9.29127783e-02]\n  [9.54329669e-01 6.43423334e-07 3.12347879e-06 4.56665866e-02]\n  [9.70012486e-01 1.08209846e-07 6.74796297e-07 2.99866758e-02]\n  [9.72440481e-01 6.32147206e-08 4.48751962e-07 2.75590010e-02]\n  [9.76117253e-01 2.69319784e-08 2.24551471e-07 2.38825325e-02]]]\nPredicted mask after argmax for 2008_000358: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000358 has shape: (310, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000358. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000358.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000358: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60003376e-01 5.52555366e-06 1.05279742e-05 3.99806052e-02]\n  [9.76292312e-01 3.88948003e-08 6.38820339e-08 2.37075742e-02]\n  [9.80674028e-01 6.01769612e-09 1.58719757e-08 1.93259958e-02]\n  [9.80107844e-01 4.08978940e-09 1.50169193e-08 1.98921114e-02]\n  [9.81054306e-01 2.04253570e-09 9.08159503e-09 1.89456288e-02]]\n\n [[9.85243559e-01 9.97988980e-09 3.66201292e-08 1.47564225e-02]\n  [9.83436525e-01 1.48681987e-11 5.52395248e-11 1.65635124e-02]\n  [9.78685021e-01 3.37733314e-12 2.48563548e-11 2.13149264e-02]\n  [9.75078702e-01 4.72751959e-12 5.75550892e-11 2.49212645e-02]\n  [9.74977970e-01 2.27611484e-12 4.01980046e-11 2.50220206e-02]]\n\n [[9.93710816e-01 4.17013785e-10 2.35298758e-09 6.28918363e-03]\n  [9.92052913e-01 4.79900082e-13 3.40875830e-12 7.94708263e-03]\n  [9.87750232e-01 1.73129076e-13 3.99048416e-12 1.22497892e-02]\n  [9.80280578e-01 4.34573791e-13 1.76700599e-11 1.97194424e-02]\n  [9.79964614e-01 1.93136156e-13 1.20135360e-11 2.00353730e-02]]\n\n ...\n\n [[9.47460294e-01 2.63932748e-07 1.53686949e-06 5.25378399e-02]\n  [9.64941740e-01 1.77599935e-10 2.91819391e-09 3.50582562e-02]\n  [9.78059232e-01 3.85470171e-12 1.45195564e-10 2.19406970e-02]\n  [9.84072387e-01 7.42703262e-13 3.71557229e-11 1.59276333e-02]\n  [9.88175273e-01 1.02411081e-13 6.85726606e-12 1.18247382e-02]]\n\n [[9.38193440e-01 9.39821291e-07 4.85280043e-06 6.18008859e-02]\n  [9.59067464e-01 1.36326728e-09 1.48142316e-08 4.09325249e-02]\n  [9.72163558e-01 6.45355575e-11 1.31713118e-09 2.78363880e-02]\n  [9.77032304e-01 1.79425329e-11 5.06229947e-10 2.29676310e-02]\n  [9.81901944e-01 3.59034525e-12 1.39663808e-10 1.80980638e-02]]\n\n [[9.06877339e-01 4.43921563e-05 1.65462741e-04 9.29127783e-02]\n  [9.54329669e-01 6.43423334e-07 3.12347879e-06 4.56665866e-02]\n  [9.70012486e-01 1.08209846e-07 6.74796297e-07 2.99866758e-02]\n  [9.72440481e-01 6.32147206e-08 4.48751962e-07 2.75590010e-02]\n  [9.76117253e-01 2.69319784e-08 2.24551471e-07 2.38825325e-02]]]\nPredicted mask after argmax for 2008_000358: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000358 has shape: (310, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000358. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000371.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000371: (1, 256, 256, 4)\nSome predicted mask values: [[[9.71571624e-01 1.23873042e-06 2.65025460e-06 2.84243543e-02]\n  [9.86319125e-01 2.95759950e-09 5.57906699e-09 1.36808725e-02]\n  [9.90615487e-01 2.03291092e-10 6.12317141e-10 9.38449241e-03]\n  [9.91483092e-01 8.19209492e-11 3.41042528e-10 8.51697940e-03]\n  [9.92591262e-01 2.94359745e-11 1.46036447e-10 7.40879122e-03]]\n\n [[9.89583611e-01 1.35188749e-09 5.96281691e-09 1.04163671e-02]\n  [9.89759803e-01 5.28432766e-13 2.51155693e-12 1.02402093e-02]\n  [9.88149405e-01 4.84043957e-14 4.58838371e-13 1.18506253e-02]\n  [9.87364233e-01 3.85336260e-14 6.14626514e-13 1.26357246e-02]\n  [9.87844169e-01 1.34831145e-14 3.09364296e-13 1.21558243e-02]]\n\n [[9.95810568e-01 5.08008531e-11 3.70092484e-10 4.18933108e-03]\n  [9.95364666e-01 1.48635495e-14 1.54363569e-13 4.63537779e-03]\n  [9.93412077e-01 2.19787707e-15 7.96562930e-14 6.58789882e-03]\n  [9.90379691e-01 3.30650555e-15 2.25122912e-13 9.62034985e-03]\n  [9.90326166e-01 1.23635639e-15 1.31621385e-13 9.67383292e-03]]\n\n ...\n\n [[8.96983802e-01 3.78275181e-05 1.13585796e-04 1.02864809e-01]\n  [8.98557484e-01 9.42009592e-07 4.43704494e-06 1.01437151e-01]\n  [8.99796665e-01 4.54732231e-07 3.04327273e-06 1.00199901e-01]\n  [8.98704350e-01 6.84994916e-07 5.04687068e-06 1.01289950e-01]\n  [8.95116389e-01 9.30217197e-07 6.63580431e-06 1.04876049e-01]]\n\n [[8.80243838e-01 9.21491301e-05 2.60554283e-04 1.19403563e-01]\n  [8.88490200e-01 2.98633086e-06 1.21321636e-05 1.11494683e-01]\n  [8.97951603e-01 1.47595074e-06 8.09156609e-06 1.02038778e-01]\n  [8.91366363e-01 2.03832315e-06 1.18571352e-05 1.08619697e-01]\n  [8.86852920e-01 2.46963577e-06 1.50622618e-05 1.13129593e-01]]\n\n [[8.33011389e-01 1.13995827e-03 2.60988832e-03 1.63238689e-01]\n  [8.79420221e-01 1.26484898e-04 3.29360308e-04 1.20123930e-01]\n  [8.91334355e-01 9.39146412e-05 2.70430144e-04 1.08301312e-01]\n  [8.82851899e-01 1.23601174e-04 3.63037427e-04 1.16661549e-01]\n  [8.73018682e-01 1.45969592e-04 4.30589396e-04 1.26404732e-01]]]\nPredicted mask after argmax for 2008_000371: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000371 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000371. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000371.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000371: (1, 256, 256, 4)\nSome predicted mask values: [[[9.71571624e-01 1.23873042e-06 2.65025460e-06 2.84243543e-02]\n  [9.86319125e-01 2.95759950e-09 5.57906699e-09 1.36808725e-02]\n  [9.90615487e-01 2.03291092e-10 6.12317141e-10 9.38449241e-03]\n  [9.91483092e-01 8.19209492e-11 3.41042528e-10 8.51697940e-03]\n  [9.92591262e-01 2.94359745e-11 1.46036447e-10 7.40879122e-03]]\n\n [[9.89583611e-01 1.35188749e-09 5.96281691e-09 1.04163671e-02]\n  [9.89759803e-01 5.28432766e-13 2.51155693e-12 1.02402093e-02]\n  [9.88149405e-01 4.84043957e-14 4.58838371e-13 1.18506253e-02]\n  [9.87364233e-01 3.85336260e-14 6.14626514e-13 1.26357246e-02]\n  [9.87844169e-01 1.34831145e-14 3.09364296e-13 1.21558243e-02]]\n\n [[9.95810568e-01 5.08008531e-11 3.70092484e-10 4.18933108e-03]\n  [9.95364666e-01 1.48635495e-14 1.54363569e-13 4.63537779e-03]\n  [9.93412077e-01 2.19787707e-15 7.96562930e-14 6.58789882e-03]\n  [9.90379691e-01 3.30650555e-15 2.25122912e-13 9.62034985e-03]\n  [9.90326166e-01 1.23635639e-15 1.31621385e-13 9.67383292e-03]]\n\n ...\n\n [[8.96983802e-01 3.78275181e-05 1.13585796e-04 1.02864809e-01]\n  [8.98557484e-01 9.42009592e-07 4.43704494e-06 1.01437151e-01]\n  [8.99796665e-01 4.54732231e-07 3.04327273e-06 1.00199901e-01]\n  [8.98704350e-01 6.84994916e-07 5.04687068e-06 1.01289950e-01]\n  [8.95116389e-01 9.30217197e-07 6.63580431e-06 1.04876049e-01]]\n\n [[8.80243838e-01 9.21491301e-05 2.60554283e-04 1.19403563e-01]\n  [8.88490200e-01 2.98633086e-06 1.21321636e-05 1.11494683e-01]\n  [8.97951603e-01 1.47595074e-06 8.09156609e-06 1.02038778e-01]\n  [8.91366363e-01 2.03832315e-06 1.18571352e-05 1.08619697e-01]\n  [8.86852920e-01 2.46963577e-06 1.50622618e-05 1.13129593e-01]]\n\n [[8.33011389e-01 1.13995827e-03 2.60988832e-03 1.63238689e-01]\n  [8.79420221e-01 1.26484898e-04 3.29360308e-04 1.20123930e-01]\n  [8.91334355e-01 9.39146412e-05 2.70430144e-04 1.08301312e-01]\n  [8.82851899e-01 1.23601174e-04 3.63037427e-04 1.16661549e-01]\n  [8.73018682e-01 1.45969592e-04 4.30589396e-04 1.26404732e-01]]]\nPredicted mask after argmax for 2008_000371: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000371 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000371. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000371.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000371: (1, 256, 256, 4)\nSome predicted mask values: [[[9.71571624e-01 1.23873042e-06 2.65025460e-06 2.84243543e-02]\n  [9.86319125e-01 2.95759950e-09 5.57906699e-09 1.36808725e-02]\n  [9.90615487e-01 2.03291092e-10 6.12317141e-10 9.38449241e-03]\n  [9.91483092e-01 8.19209492e-11 3.41042528e-10 8.51697940e-03]\n  [9.92591262e-01 2.94359745e-11 1.46036447e-10 7.40879122e-03]]\n\n [[9.89583611e-01 1.35188749e-09 5.96281691e-09 1.04163671e-02]\n  [9.89759803e-01 5.28432766e-13 2.51155693e-12 1.02402093e-02]\n  [9.88149405e-01 4.84043957e-14 4.58838371e-13 1.18506253e-02]\n  [9.87364233e-01 3.85336260e-14 6.14626514e-13 1.26357246e-02]\n  [9.87844169e-01 1.34831145e-14 3.09364296e-13 1.21558243e-02]]\n\n [[9.95810568e-01 5.08008531e-11 3.70092484e-10 4.18933108e-03]\n  [9.95364666e-01 1.48635495e-14 1.54363569e-13 4.63537779e-03]\n  [9.93412077e-01 2.19787707e-15 7.96562930e-14 6.58789882e-03]\n  [9.90379691e-01 3.30650555e-15 2.25122912e-13 9.62034985e-03]\n  [9.90326166e-01 1.23635639e-15 1.31621385e-13 9.67383292e-03]]\n\n ...\n\n [[8.96983802e-01 3.78275181e-05 1.13585796e-04 1.02864809e-01]\n  [8.98557484e-01 9.42009592e-07 4.43704494e-06 1.01437151e-01]\n  [8.99796665e-01 4.54732231e-07 3.04327273e-06 1.00199901e-01]\n  [8.98704350e-01 6.84994916e-07 5.04687068e-06 1.01289950e-01]\n  [8.95116389e-01 9.30217197e-07 6.63580431e-06 1.04876049e-01]]\n\n [[8.80243838e-01 9.21491301e-05 2.60554283e-04 1.19403563e-01]\n  [8.88490200e-01 2.98633086e-06 1.21321636e-05 1.11494683e-01]\n  [8.97951603e-01 1.47595074e-06 8.09156609e-06 1.02038778e-01]\n  [8.91366363e-01 2.03832315e-06 1.18571352e-05 1.08619697e-01]\n  [8.86852920e-01 2.46963577e-06 1.50622618e-05 1.13129593e-01]]\n\n [[8.33011389e-01 1.13995827e-03 2.60988832e-03 1.63238689e-01]\n  [8.79420221e-01 1.26484898e-04 3.29360308e-04 1.20123930e-01]\n  [8.91334355e-01 9.39146412e-05 2.70430144e-04 1.08301312e-01]\n  [8.82851899e-01 1.23601174e-04 3.63037427e-04 1.16661549e-01]\n  [8.73018682e-01 1.45969592e-04 4.30589396e-04 1.26404732e-01]]]\nPredicted mask after argmax for 2008_000371: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000371 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000371. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000371.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000371: (1, 256, 256, 4)\nSome predicted mask values: [[[9.71571624e-01 1.23873042e-06 2.65025460e-06 2.84243543e-02]\n  [9.86319125e-01 2.95759950e-09 5.57906699e-09 1.36808725e-02]\n  [9.90615487e-01 2.03291092e-10 6.12317141e-10 9.38449241e-03]\n  [9.91483092e-01 8.19209492e-11 3.41042528e-10 8.51697940e-03]\n  [9.92591262e-01 2.94359745e-11 1.46036447e-10 7.40879122e-03]]\n\n [[9.89583611e-01 1.35188749e-09 5.96281691e-09 1.04163671e-02]\n  [9.89759803e-01 5.28432766e-13 2.51155693e-12 1.02402093e-02]\n  [9.88149405e-01 4.84043957e-14 4.58838371e-13 1.18506253e-02]\n  [9.87364233e-01 3.85336260e-14 6.14626514e-13 1.26357246e-02]\n  [9.87844169e-01 1.34831145e-14 3.09364296e-13 1.21558243e-02]]\n\n [[9.95810568e-01 5.08008531e-11 3.70092484e-10 4.18933108e-03]\n  [9.95364666e-01 1.48635495e-14 1.54363569e-13 4.63537779e-03]\n  [9.93412077e-01 2.19787707e-15 7.96562930e-14 6.58789882e-03]\n  [9.90379691e-01 3.30650555e-15 2.25122912e-13 9.62034985e-03]\n  [9.90326166e-01 1.23635639e-15 1.31621385e-13 9.67383292e-03]]\n\n ...\n\n [[8.96983802e-01 3.78275181e-05 1.13585796e-04 1.02864809e-01]\n  [8.98557484e-01 9.42009592e-07 4.43704494e-06 1.01437151e-01]\n  [8.99796665e-01 4.54732231e-07 3.04327273e-06 1.00199901e-01]\n  [8.98704350e-01 6.84994916e-07 5.04687068e-06 1.01289950e-01]\n  [8.95116389e-01 9.30217197e-07 6.63580431e-06 1.04876049e-01]]\n\n [[8.80243838e-01 9.21491301e-05 2.60554283e-04 1.19403563e-01]\n  [8.88490200e-01 2.98633086e-06 1.21321636e-05 1.11494683e-01]\n  [8.97951603e-01 1.47595074e-06 8.09156609e-06 1.02038778e-01]\n  [8.91366363e-01 2.03832315e-06 1.18571352e-05 1.08619697e-01]\n  [8.86852920e-01 2.46963577e-06 1.50622618e-05 1.13129593e-01]]\n\n [[8.33011389e-01 1.13995827e-03 2.60988832e-03 1.63238689e-01]\n  [8.79420221e-01 1.26484898e-04 3.29360308e-04 1.20123930e-01]\n  [8.91334355e-01 9.39146412e-05 2.70430144e-04 1.08301312e-01]\n  [8.82851899e-01 1.23601174e-04 3.63037427e-04 1.16661549e-01]\n  [8.73018682e-01 1.45969592e-04 4.30589396e-04 1.26404732e-01]]]\nPredicted mask after argmax for 2008_000371: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000371 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000371. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000401.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000401: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79029536e-01 4.21416360e-07 9.20326272e-07 2.09690854e-02]\n  [9.89858150e-01 8.60679084e-10 1.51993729e-09 1.01419371e-02]\n  [9.92382586e-01 7.50816700e-11 2.25839861e-10 7.61738047e-03]\n  [9.92291033e-01 4.03092802e-11 1.81298448e-10 7.70897465e-03]\n  [9.92906928e-01 1.61245583e-11 9.05041181e-11 7.09309569e-03]]\n\n [[9.93518889e-01 2.30313907e-10 1.07438036e-09 6.48105005e-03]\n  [9.93025541e-01 6.91387662e-14 3.20254673e-13 6.97452715e-03]\n  [9.90500748e-01 9.77756050e-15 9.75301721e-14 9.49928910e-03]\n  [9.88700986e-01 1.25505312e-14 2.33103250e-13 1.12989889e-02]\n  [9.88701344e-01 5.03815409e-15 1.44426368e-13 1.12986369e-02]]\n\n [[9.97712493e-01 5.31503791e-12 4.09709870e-11 2.28751148e-03]\n  [9.97246444e-01 1.21757598e-15 1.21642994e-14 2.75347079e-03]\n  [9.95392740e-01 3.06485452e-16 1.24476015e-14 4.60717501e-03]\n  [9.91716444e-01 8.73605641e-16 7.18522735e-14 8.28353968e-03]\n  [9.91037607e-01 3.79939593e-16 5.21692098e-14 8.96241888e-03]]\n\n ...\n\n [[8.98707926e-01 2.60828747e-05 8.41329820e-05 1.01182006e-01]\n  [9.09379363e-01 3.74830705e-07 2.03662830e-06 9.06182230e-02]\n  [9.15016830e-01 1.11268022e-07 9.17364446e-07 8.49821642e-02]\n  [9.18706119e-01 1.20300726e-07 1.14340139e-06 8.12926665e-02]\n  [9.16735947e-01 1.44882065e-07 1.35937114e-06 8.32626447e-02]]\n\n [[8.81307483e-01 6.68347639e-05 2.03771837e-04 1.18421920e-01]\n  [8.97091806e-01 1.34738139e-06 6.33202853e-06 1.02900453e-01]\n  [9.10623789e-01 4.45579019e-07 2.97183442e-06 8.93728435e-02]\n  [9.08720911e-01 4.60914464e-07 3.36198332e-06 9.12752897e-02]\n  [9.06768322e-01 4.86504064e-07 3.81405948e-06 9.32273045e-02]]\n\n [[8.35817039e-01 9.26632958e-04 2.25150259e-03 1.61004901e-01]\n  [8.86404693e-01 7.89766127e-05 2.26602104e-04 1.13289773e-01]\n  [9.02763367e-01 4.49525178e-05 1.49497602e-04 9.70421359e-02]\n  [8.97363126e-01 5.09477213e-05 1.74915738e-04 1.02411002e-01]\n  [8.91364455e-01 5.53887367e-05 1.93939864e-04 1.08386278e-01]]]\nPredicted mask after argmax for 2008_000401: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000401 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000401. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000401.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000401: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79029536e-01 4.21416360e-07 9.20326272e-07 2.09690854e-02]\n  [9.89858150e-01 8.60679084e-10 1.51993729e-09 1.01419371e-02]\n  [9.92382586e-01 7.50816700e-11 2.25839861e-10 7.61738047e-03]\n  [9.92291033e-01 4.03092802e-11 1.81298448e-10 7.70897465e-03]\n  [9.92906928e-01 1.61245583e-11 9.05041181e-11 7.09309569e-03]]\n\n [[9.93518889e-01 2.30313907e-10 1.07438036e-09 6.48105005e-03]\n  [9.93025541e-01 6.91387662e-14 3.20254673e-13 6.97452715e-03]\n  [9.90500748e-01 9.77756050e-15 9.75301721e-14 9.49928910e-03]\n  [9.88700986e-01 1.25505312e-14 2.33103250e-13 1.12989889e-02]\n  [9.88701344e-01 5.03815409e-15 1.44426368e-13 1.12986369e-02]]\n\n [[9.97712493e-01 5.31503791e-12 4.09709870e-11 2.28751148e-03]\n  [9.97246444e-01 1.21757598e-15 1.21642994e-14 2.75347079e-03]\n  [9.95392740e-01 3.06485452e-16 1.24476015e-14 4.60717501e-03]\n  [9.91716444e-01 8.73605641e-16 7.18522735e-14 8.28353968e-03]\n  [9.91037607e-01 3.79939593e-16 5.21692098e-14 8.96241888e-03]]\n\n ...\n\n [[8.98707926e-01 2.60828747e-05 8.41329820e-05 1.01182006e-01]\n  [9.09379363e-01 3.74830705e-07 2.03662830e-06 9.06182230e-02]\n  [9.15016830e-01 1.11268022e-07 9.17364446e-07 8.49821642e-02]\n  [9.18706119e-01 1.20300726e-07 1.14340139e-06 8.12926665e-02]\n  [9.16735947e-01 1.44882065e-07 1.35937114e-06 8.32626447e-02]]\n\n [[8.81307483e-01 6.68347639e-05 2.03771837e-04 1.18421920e-01]\n  [8.97091806e-01 1.34738139e-06 6.33202853e-06 1.02900453e-01]\n  [9.10623789e-01 4.45579019e-07 2.97183442e-06 8.93728435e-02]\n  [9.08720911e-01 4.60914464e-07 3.36198332e-06 9.12752897e-02]\n  [9.06768322e-01 4.86504064e-07 3.81405948e-06 9.32273045e-02]]\n\n [[8.35817039e-01 9.26632958e-04 2.25150259e-03 1.61004901e-01]\n  [8.86404693e-01 7.89766127e-05 2.26602104e-04 1.13289773e-01]\n  [9.02763367e-01 4.49525178e-05 1.49497602e-04 9.70421359e-02]\n  [8.97363126e-01 5.09477213e-05 1.74915738e-04 1.02411002e-01]\n  [8.91364455e-01 5.53887367e-05 1.93939864e-04 1.08386278e-01]]]\nPredicted mask after argmax for 2008_000401: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000401 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000401. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000401.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000401: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79029536e-01 4.21416360e-07 9.20326272e-07 2.09690854e-02]\n  [9.89858150e-01 8.60679084e-10 1.51993729e-09 1.01419371e-02]\n  [9.92382586e-01 7.50816700e-11 2.25839861e-10 7.61738047e-03]\n  [9.92291033e-01 4.03092802e-11 1.81298448e-10 7.70897465e-03]\n  [9.92906928e-01 1.61245583e-11 9.05041181e-11 7.09309569e-03]]\n\n [[9.93518889e-01 2.30313907e-10 1.07438036e-09 6.48105005e-03]\n  [9.93025541e-01 6.91387662e-14 3.20254673e-13 6.97452715e-03]\n  [9.90500748e-01 9.77756050e-15 9.75301721e-14 9.49928910e-03]\n  [9.88700986e-01 1.25505312e-14 2.33103250e-13 1.12989889e-02]\n  [9.88701344e-01 5.03815409e-15 1.44426368e-13 1.12986369e-02]]\n\n [[9.97712493e-01 5.31503791e-12 4.09709870e-11 2.28751148e-03]\n  [9.97246444e-01 1.21757598e-15 1.21642994e-14 2.75347079e-03]\n  [9.95392740e-01 3.06485452e-16 1.24476015e-14 4.60717501e-03]\n  [9.91716444e-01 8.73605641e-16 7.18522735e-14 8.28353968e-03]\n  [9.91037607e-01 3.79939593e-16 5.21692098e-14 8.96241888e-03]]\n\n ...\n\n [[8.98707926e-01 2.60828747e-05 8.41329820e-05 1.01182006e-01]\n  [9.09379363e-01 3.74830705e-07 2.03662830e-06 9.06182230e-02]\n  [9.15016830e-01 1.11268022e-07 9.17364446e-07 8.49821642e-02]\n  [9.18706119e-01 1.20300726e-07 1.14340139e-06 8.12926665e-02]\n  [9.16735947e-01 1.44882065e-07 1.35937114e-06 8.32626447e-02]]\n\n [[8.81307483e-01 6.68347639e-05 2.03771837e-04 1.18421920e-01]\n  [8.97091806e-01 1.34738139e-06 6.33202853e-06 1.02900453e-01]\n  [9.10623789e-01 4.45579019e-07 2.97183442e-06 8.93728435e-02]\n  [9.08720911e-01 4.60914464e-07 3.36198332e-06 9.12752897e-02]\n  [9.06768322e-01 4.86504064e-07 3.81405948e-06 9.32273045e-02]]\n\n [[8.35817039e-01 9.26632958e-04 2.25150259e-03 1.61004901e-01]\n  [8.86404693e-01 7.89766127e-05 2.26602104e-04 1.13289773e-01]\n  [9.02763367e-01 4.49525178e-05 1.49497602e-04 9.70421359e-02]\n  [8.97363126e-01 5.09477213e-05 1.74915738e-04 1.02411002e-01]\n  [8.91364455e-01 5.53887367e-05 1.93939864e-04 1.08386278e-01]]]\nPredicted mask after argmax for 2008_000401: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000401 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000401. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000403.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000403: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84235883e-01 6.16437532e-08 1.66584854e-07 1.57639328e-02]\n  [9.95665193e-01 6.48947996e-12 2.14440479e-11 4.33474965e-03]\n  [9.98306632e-01 3.56223806e-14 2.04082099e-13 1.69337599e-03]\n  [9.98839319e-01 4.46460097e-15 3.38228150e-14 1.16076076e-03]\n  [9.99141335e-01 1.04522743e-15 8.65371549e-15 8.58614163e-04]]\n\n [[9.93825972e-01 2.89314354e-11 2.01410125e-10 6.17395435e-03]\n  [9.96483445e-01 2.38972717e-16 2.58277922e-15 3.51652247e-03]\n  [9.97671306e-01 7.82876871e-19 1.90312951e-17 2.32862635e-03]\n  [9.97945011e-01 1.40628937e-19 5.63139267e-18 2.05503823e-03]\n  [9.98107791e-01 3.58483954e-20 1.91359446e-18 1.89213920e-03]]\n\n [[9.97342765e-01 1.77941049e-12 2.38905840e-11 2.65727332e-03]\n  [9.98277783e-01 1.16585342e-17 3.53286060e-16 1.72223512e-03]\n  [9.98440683e-01 7.25964789e-20 8.78331228e-18 1.55929092e-03]\n  [9.98358428e-01 2.09376264e-20 5.26973152e-18 1.64161192e-03]\n  [9.98395979e-01 5.73922102e-21 2.20794006e-18 1.60394725e-03]]\n\n ...\n\n [[9.32464182e-01 4.73705541e-06 1.73264216e-05 6.75137639e-02]\n  [9.27047312e-01 6.22314289e-08 3.69903148e-07 7.29522556e-02]\n  [9.30365801e-01 1.87113152e-08 1.90985034e-07 6.96339160e-02]\n  [9.30262446e-01 2.91173770e-08 3.43268368e-07 6.97372481e-02]\n  [9.26467896e-01 3.99984259e-08 4.57085576e-07 7.35316649e-02]]\n\n [[9.19646502e-01 1.29198797e-05 4.37416675e-05 8.02967921e-02]\n  [9.22102153e-01 2.18138538e-07 1.06093205e-06 7.78964609e-02]\n  [9.33188140e-01 7.22895450e-08 5.53865050e-07 6.68112636e-02]\n  [9.29519594e-01 1.04358335e-07 8.86133535e-07 7.04793558e-02]\n  [9.19881701e-01 1.41206641e-07 1.27830867e-06 8.01169053e-02]]\n\n [[8.83006990e-01 2.42742288e-04 6.61865633e-04 1.16088398e-01]\n  [9.25848544e-01 1.41072123e-05 4.55310837e-05 7.40917921e-02]\n  [9.36000228e-01 8.52079756e-06 3.03448178e-05 6.39609396e-02]\n  [9.31150496e-01 1.23163363e-05 4.54112960e-05 6.87917992e-02]\n  [9.18613732e-01 1.72013770e-05 6.34863027e-05 8.13054964e-02]]]\nPredicted mask after argmax for 2008_000403: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000403 has shape: (500, 374)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000403. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000403.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000403: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84235883e-01 6.16437532e-08 1.66584854e-07 1.57639328e-02]\n  [9.95665193e-01 6.48947996e-12 2.14440479e-11 4.33474965e-03]\n  [9.98306632e-01 3.56223806e-14 2.04082099e-13 1.69337599e-03]\n  [9.98839319e-01 4.46460097e-15 3.38228150e-14 1.16076076e-03]\n  [9.99141335e-01 1.04522743e-15 8.65371549e-15 8.58614163e-04]]\n\n [[9.93825972e-01 2.89314354e-11 2.01410125e-10 6.17395435e-03]\n  [9.96483445e-01 2.38972717e-16 2.58277922e-15 3.51652247e-03]\n  [9.97671306e-01 7.82876871e-19 1.90312951e-17 2.32862635e-03]\n  [9.97945011e-01 1.40628937e-19 5.63139267e-18 2.05503823e-03]\n  [9.98107791e-01 3.58483954e-20 1.91359446e-18 1.89213920e-03]]\n\n [[9.97342765e-01 1.77941049e-12 2.38905840e-11 2.65727332e-03]\n  [9.98277783e-01 1.16585342e-17 3.53286060e-16 1.72223512e-03]\n  [9.98440683e-01 7.25964789e-20 8.78331228e-18 1.55929092e-03]\n  [9.98358428e-01 2.09376264e-20 5.26973152e-18 1.64161192e-03]\n  [9.98395979e-01 5.73922102e-21 2.20794006e-18 1.60394725e-03]]\n\n ...\n\n [[9.32464182e-01 4.73705541e-06 1.73264216e-05 6.75137639e-02]\n  [9.27047312e-01 6.22314289e-08 3.69903148e-07 7.29522556e-02]\n  [9.30365801e-01 1.87113152e-08 1.90985034e-07 6.96339160e-02]\n  [9.30262446e-01 2.91173770e-08 3.43268368e-07 6.97372481e-02]\n  [9.26467896e-01 3.99984259e-08 4.57085576e-07 7.35316649e-02]]\n\n [[9.19646502e-01 1.29198797e-05 4.37416675e-05 8.02967921e-02]\n  [9.22102153e-01 2.18138538e-07 1.06093205e-06 7.78964609e-02]\n  [9.33188140e-01 7.22895450e-08 5.53865050e-07 6.68112636e-02]\n  [9.29519594e-01 1.04358335e-07 8.86133535e-07 7.04793558e-02]\n  [9.19881701e-01 1.41206641e-07 1.27830867e-06 8.01169053e-02]]\n\n [[8.83006990e-01 2.42742288e-04 6.61865633e-04 1.16088398e-01]\n  [9.25848544e-01 1.41072123e-05 4.55310837e-05 7.40917921e-02]\n  [9.36000228e-01 8.52079756e-06 3.03448178e-05 6.39609396e-02]\n  [9.31150496e-01 1.23163363e-05 4.54112960e-05 6.87917992e-02]\n  [9.18613732e-01 1.72013770e-05 6.34863027e-05 8.13054964e-02]]]\nPredicted mask after argmax for 2008_000403: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000403 has shape: (500, 374)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000403. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000403.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000403: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84235883e-01 6.16437532e-08 1.66584854e-07 1.57639328e-02]\n  [9.95665193e-01 6.48947996e-12 2.14440479e-11 4.33474965e-03]\n  [9.98306632e-01 3.56223806e-14 2.04082099e-13 1.69337599e-03]\n  [9.98839319e-01 4.46460097e-15 3.38228150e-14 1.16076076e-03]\n  [9.99141335e-01 1.04522743e-15 8.65371549e-15 8.58614163e-04]]\n\n [[9.93825972e-01 2.89314354e-11 2.01410125e-10 6.17395435e-03]\n  [9.96483445e-01 2.38972717e-16 2.58277922e-15 3.51652247e-03]\n  [9.97671306e-01 7.82876871e-19 1.90312951e-17 2.32862635e-03]\n  [9.97945011e-01 1.40628937e-19 5.63139267e-18 2.05503823e-03]\n  [9.98107791e-01 3.58483954e-20 1.91359446e-18 1.89213920e-03]]\n\n [[9.97342765e-01 1.77941049e-12 2.38905840e-11 2.65727332e-03]\n  [9.98277783e-01 1.16585342e-17 3.53286060e-16 1.72223512e-03]\n  [9.98440683e-01 7.25964789e-20 8.78331228e-18 1.55929092e-03]\n  [9.98358428e-01 2.09376264e-20 5.26973152e-18 1.64161192e-03]\n  [9.98395979e-01 5.73922102e-21 2.20794006e-18 1.60394725e-03]]\n\n ...\n\n [[9.32464182e-01 4.73705541e-06 1.73264216e-05 6.75137639e-02]\n  [9.27047312e-01 6.22314289e-08 3.69903148e-07 7.29522556e-02]\n  [9.30365801e-01 1.87113152e-08 1.90985034e-07 6.96339160e-02]\n  [9.30262446e-01 2.91173770e-08 3.43268368e-07 6.97372481e-02]\n  [9.26467896e-01 3.99984259e-08 4.57085576e-07 7.35316649e-02]]\n\n [[9.19646502e-01 1.29198797e-05 4.37416675e-05 8.02967921e-02]\n  [9.22102153e-01 2.18138538e-07 1.06093205e-06 7.78964609e-02]\n  [9.33188140e-01 7.22895450e-08 5.53865050e-07 6.68112636e-02]\n  [9.29519594e-01 1.04358335e-07 8.86133535e-07 7.04793558e-02]\n  [9.19881701e-01 1.41206641e-07 1.27830867e-06 8.01169053e-02]]\n\n [[8.83006990e-01 2.42742288e-04 6.61865633e-04 1.16088398e-01]\n  [9.25848544e-01 1.41072123e-05 4.55310837e-05 7.40917921e-02]\n  [9.36000228e-01 8.52079756e-06 3.03448178e-05 6.39609396e-02]\n  [9.31150496e-01 1.23163363e-05 4.54112960e-05 6.87917992e-02]\n  [9.18613732e-01 1.72013770e-05 6.34863027e-05 8.13054964e-02]]]\nPredicted mask after argmax for 2008_000403: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000403 has shape: (500, 374)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000403. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000403.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000403: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84235883e-01 6.16437532e-08 1.66584854e-07 1.57639328e-02]\n  [9.95665193e-01 6.48947996e-12 2.14440479e-11 4.33474965e-03]\n  [9.98306632e-01 3.56223806e-14 2.04082099e-13 1.69337599e-03]\n  [9.98839319e-01 4.46460097e-15 3.38228150e-14 1.16076076e-03]\n  [9.99141335e-01 1.04522743e-15 8.65371549e-15 8.58614163e-04]]\n\n [[9.93825972e-01 2.89314354e-11 2.01410125e-10 6.17395435e-03]\n  [9.96483445e-01 2.38972717e-16 2.58277922e-15 3.51652247e-03]\n  [9.97671306e-01 7.82876871e-19 1.90312951e-17 2.32862635e-03]\n  [9.97945011e-01 1.40628937e-19 5.63139267e-18 2.05503823e-03]\n  [9.98107791e-01 3.58483954e-20 1.91359446e-18 1.89213920e-03]]\n\n [[9.97342765e-01 1.77941049e-12 2.38905840e-11 2.65727332e-03]\n  [9.98277783e-01 1.16585342e-17 3.53286060e-16 1.72223512e-03]\n  [9.98440683e-01 7.25964789e-20 8.78331228e-18 1.55929092e-03]\n  [9.98358428e-01 2.09376264e-20 5.26973152e-18 1.64161192e-03]\n  [9.98395979e-01 5.73922102e-21 2.20794006e-18 1.60394725e-03]]\n\n ...\n\n [[9.32464182e-01 4.73705541e-06 1.73264216e-05 6.75137639e-02]\n  [9.27047312e-01 6.22314289e-08 3.69903148e-07 7.29522556e-02]\n  [9.30365801e-01 1.87113152e-08 1.90985034e-07 6.96339160e-02]\n  [9.30262446e-01 2.91173770e-08 3.43268368e-07 6.97372481e-02]\n  [9.26467896e-01 3.99984259e-08 4.57085576e-07 7.35316649e-02]]\n\n [[9.19646502e-01 1.29198797e-05 4.37416675e-05 8.02967921e-02]\n  [9.22102153e-01 2.18138538e-07 1.06093205e-06 7.78964609e-02]\n  [9.33188140e-01 7.22895450e-08 5.53865050e-07 6.68112636e-02]\n  [9.29519594e-01 1.04358335e-07 8.86133535e-07 7.04793558e-02]\n  [9.19881701e-01 1.41206641e-07 1.27830867e-06 8.01169053e-02]]\n\n [[8.83006990e-01 2.42742288e-04 6.61865633e-04 1.16088398e-01]\n  [9.25848544e-01 1.41072123e-05 4.55310837e-05 7.40917921e-02]\n  [9.36000228e-01 8.52079756e-06 3.03448178e-05 6.39609396e-02]\n  [9.31150496e-01 1.23163363e-05 4.54112960e-05 6.87917992e-02]\n  [9.18613732e-01 1.72013770e-05 6.34863027e-05 8.13054964e-02]]]\nPredicted mask after argmax for 2008_000403: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000403 has shape: (500, 374)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000403. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000419.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000419: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7483307e-01 5.5718215e-07 1.2671089e-06 2.5165040e-02]\n  [9.8824990e-01 7.5577850e-10 1.7533606e-09 1.1750059e-02]\n  [9.9217576e-01 4.4846373e-11 1.7725113e-10 7.8242021e-03]\n  [9.9268830e-01 2.4075042e-11 1.2643375e-10 7.3116776e-03]\n  [9.9324518e-01 1.1618528e-11 7.2336498e-11 6.7547909e-03]]\n\n [[9.9095821e-01 4.1839904e-10 2.1213029e-09 9.0417396e-03]\n  [9.9143469e-01 9.0530231e-14 5.6016520e-13 8.5652797e-03]\n  [9.9095345e-01 6.2385772e-15 8.4285721e-14 9.0465564e-03]\n  [9.9018049e-01 6.5227381e-15 1.4053038e-13 9.8195206e-03]\n  [9.9025905e-01 2.9856531e-15 9.2822146e-14 9.7410120e-03]]\n\n [[9.9618715e-01 2.0301377e-11 1.7660771e-10 3.8128290e-03]\n  [9.9583435e-01 3.2202876e-15 4.5907502e-14 4.1656629e-03]\n  [9.9438733e-01 3.4900021e-16 1.7378773e-14 5.6126141e-03]\n  [9.9238133e-01 5.6592738e-16 5.1884647e-14 7.6186783e-03]\n  [9.9226314e-01 2.5305183e-16 3.4876090e-14 7.7369479e-03]]\n\n ...\n\n [[8.7845057e-01 1.1762042e-04 2.9973077e-04 1.2113219e-01]\n  [8.7028235e-01 5.2663931e-06 1.9789613e-05 1.2969251e-01]\n  [8.7410492e-01 2.8673064e-06 1.4802207e-05 1.2587737e-01]\n  [8.6982518e-01 4.2463444e-06 2.3902976e-05 1.3014656e-01]\n  [8.6510170e-01 5.9877075e-06 3.2848362e-05 1.3485943e-01]]\n\n [[8.6408019e-01 2.2005693e-04 5.3376163e-04 1.3516606e-01]\n  [8.6548674e-01 1.1618412e-05 3.8428821e-05 1.3446321e-01]\n  [8.7574691e-01 6.9272878e-06 3.0227267e-05 1.2421592e-01]\n  [8.6673707e-01 9.9671179e-06 4.5765042e-05 1.3320725e-01]\n  [8.5777897e-01 1.3810341e-05 6.4705702e-05 1.4214256e-01]]\n\n [[8.1957221e-01 1.8135473e-03 3.7930782e-03 1.7482127e-01]\n  [8.6686665e-01 2.5473474e-04 6.0168933e-04 1.3227682e-01]\n  [8.7688684e-01 2.2008001e-04 5.5250811e-04 1.2234071e-01]\n  [8.6823565e-01 2.9230912e-04 7.4474665e-04 1.3072732e-01]\n  [8.5658842e-01 3.7665959e-04 9.5761084e-04 1.4207730e-01]]]\nPredicted mask after argmax for 2008_000419: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000419 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000419. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000419.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000419: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7483307e-01 5.5718215e-07 1.2671089e-06 2.5165040e-02]\n  [9.8824990e-01 7.5577850e-10 1.7533606e-09 1.1750059e-02]\n  [9.9217576e-01 4.4846373e-11 1.7725113e-10 7.8242021e-03]\n  [9.9268830e-01 2.4075042e-11 1.2643375e-10 7.3116776e-03]\n  [9.9324518e-01 1.1618528e-11 7.2336498e-11 6.7547909e-03]]\n\n [[9.9095821e-01 4.1839904e-10 2.1213029e-09 9.0417396e-03]\n  [9.9143469e-01 9.0530231e-14 5.6016520e-13 8.5652797e-03]\n  [9.9095345e-01 6.2385772e-15 8.4285721e-14 9.0465564e-03]\n  [9.9018049e-01 6.5227381e-15 1.4053038e-13 9.8195206e-03]\n  [9.9025905e-01 2.9856531e-15 9.2822146e-14 9.7410120e-03]]\n\n [[9.9618715e-01 2.0301377e-11 1.7660771e-10 3.8128290e-03]\n  [9.9583435e-01 3.2202876e-15 4.5907502e-14 4.1656629e-03]\n  [9.9438733e-01 3.4900021e-16 1.7378773e-14 5.6126141e-03]\n  [9.9238133e-01 5.6592738e-16 5.1884647e-14 7.6186783e-03]\n  [9.9226314e-01 2.5305183e-16 3.4876090e-14 7.7369479e-03]]\n\n ...\n\n [[8.7845057e-01 1.1762042e-04 2.9973077e-04 1.2113219e-01]\n  [8.7028235e-01 5.2663931e-06 1.9789613e-05 1.2969251e-01]\n  [8.7410492e-01 2.8673064e-06 1.4802207e-05 1.2587737e-01]\n  [8.6982518e-01 4.2463444e-06 2.3902976e-05 1.3014656e-01]\n  [8.6510170e-01 5.9877075e-06 3.2848362e-05 1.3485943e-01]]\n\n [[8.6408019e-01 2.2005693e-04 5.3376163e-04 1.3516606e-01]\n  [8.6548674e-01 1.1618412e-05 3.8428821e-05 1.3446321e-01]\n  [8.7574691e-01 6.9272878e-06 3.0227267e-05 1.2421592e-01]\n  [8.6673707e-01 9.9671179e-06 4.5765042e-05 1.3320725e-01]\n  [8.5777897e-01 1.3810341e-05 6.4705702e-05 1.4214256e-01]]\n\n [[8.1957221e-01 1.8135473e-03 3.7930782e-03 1.7482127e-01]\n  [8.6686665e-01 2.5473474e-04 6.0168933e-04 1.3227682e-01]\n  [8.7688684e-01 2.2008001e-04 5.5250811e-04 1.2234071e-01]\n  [8.6823565e-01 2.9230912e-04 7.4474665e-04 1.3072732e-01]\n  [8.5658842e-01 3.7665959e-04 9.5761084e-04 1.4207730e-01]]]\nPredicted mask after argmax for 2008_000419: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000419 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000419. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000419.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000419: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7483307e-01 5.5718215e-07 1.2671089e-06 2.5165040e-02]\n  [9.8824990e-01 7.5577850e-10 1.7533606e-09 1.1750059e-02]\n  [9.9217576e-01 4.4846373e-11 1.7725113e-10 7.8242021e-03]\n  [9.9268830e-01 2.4075042e-11 1.2643375e-10 7.3116776e-03]\n  [9.9324518e-01 1.1618528e-11 7.2336498e-11 6.7547909e-03]]\n\n [[9.9095821e-01 4.1839904e-10 2.1213029e-09 9.0417396e-03]\n  [9.9143469e-01 9.0530231e-14 5.6016520e-13 8.5652797e-03]\n  [9.9095345e-01 6.2385772e-15 8.4285721e-14 9.0465564e-03]\n  [9.9018049e-01 6.5227381e-15 1.4053038e-13 9.8195206e-03]\n  [9.9025905e-01 2.9856531e-15 9.2822146e-14 9.7410120e-03]]\n\n [[9.9618715e-01 2.0301377e-11 1.7660771e-10 3.8128290e-03]\n  [9.9583435e-01 3.2202876e-15 4.5907502e-14 4.1656629e-03]\n  [9.9438733e-01 3.4900021e-16 1.7378773e-14 5.6126141e-03]\n  [9.9238133e-01 5.6592738e-16 5.1884647e-14 7.6186783e-03]\n  [9.9226314e-01 2.5305183e-16 3.4876090e-14 7.7369479e-03]]\n\n ...\n\n [[8.7845057e-01 1.1762042e-04 2.9973077e-04 1.2113219e-01]\n  [8.7028235e-01 5.2663931e-06 1.9789613e-05 1.2969251e-01]\n  [8.7410492e-01 2.8673064e-06 1.4802207e-05 1.2587737e-01]\n  [8.6982518e-01 4.2463444e-06 2.3902976e-05 1.3014656e-01]\n  [8.6510170e-01 5.9877075e-06 3.2848362e-05 1.3485943e-01]]\n\n [[8.6408019e-01 2.2005693e-04 5.3376163e-04 1.3516606e-01]\n  [8.6548674e-01 1.1618412e-05 3.8428821e-05 1.3446321e-01]\n  [8.7574691e-01 6.9272878e-06 3.0227267e-05 1.2421592e-01]\n  [8.6673707e-01 9.9671179e-06 4.5765042e-05 1.3320725e-01]\n  [8.5777897e-01 1.3810341e-05 6.4705702e-05 1.4214256e-01]]\n\n [[8.1957221e-01 1.8135473e-03 3.7930782e-03 1.7482127e-01]\n  [8.6686665e-01 2.5473474e-04 6.0168933e-04 1.3227682e-01]\n  [8.7688684e-01 2.2008001e-04 5.5250811e-04 1.2234071e-01]\n  [8.6823565e-01 2.9230912e-04 7.4474665e-04 1.3072732e-01]\n  [8.5658842e-01 3.7665959e-04 9.5761084e-04 1.4207730e-01]]]\nPredicted mask after argmax for 2008_000419: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000419 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000419. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000419.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000419: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7483307e-01 5.5718215e-07 1.2671089e-06 2.5165040e-02]\n  [9.8824990e-01 7.5577850e-10 1.7533606e-09 1.1750059e-02]\n  [9.9217576e-01 4.4846373e-11 1.7725113e-10 7.8242021e-03]\n  [9.9268830e-01 2.4075042e-11 1.2643375e-10 7.3116776e-03]\n  [9.9324518e-01 1.1618528e-11 7.2336498e-11 6.7547909e-03]]\n\n [[9.9095821e-01 4.1839904e-10 2.1213029e-09 9.0417396e-03]\n  [9.9143469e-01 9.0530231e-14 5.6016520e-13 8.5652797e-03]\n  [9.9095345e-01 6.2385772e-15 8.4285721e-14 9.0465564e-03]\n  [9.9018049e-01 6.5227381e-15 1.4053038e-13 9.8195206e-03]\n  [9.9025905e-01 2.9856531e-15 9.2822146e-14 9.7410120e-03]]\n\n [[9.9618715e-01 2.0301377e-11 1.7660771e-10 3.8128290e-03]\n  [9.9583435e-01 3.2202876e-15 4.5907502e-14 4.1656629e-03]\n  [9.9438733e-01 3.4900021e-16 1.7378773e-14 5.6126141e-03]\n  [9.9238133e-01 5.6592738e-16 5.1884647e-14 7.6186783e-03]\n  [9.9226314e-01 2.5305183e-16 3.4876090e-14 7.7369479e-03]]\n\n ...\n\n [[8.7845057e-01 1.1762042e-04 2.9973077e-04 1.2113219e-01]\n  [8.7028235e-01 5.2663931e-06 1.9789613e-05 1.2969251e-01]\n  [8.7410492e-01 2.8673064e-06 1.4802207e-05 1.2587737e-01]\n  [8.6982518e-01 4.2463444e-06 2.3902976e-05 1.3014656e-01]\n  [8.6510170e-01 5.9877075e-06 3.2848362e-05 1.3485943e-01]]\n\n [[8.6408019e-01 2.2005693e-04 5.3376163e-04 1.3516606e-01]\n  [8.6548674e-01 1.1618412e-05 3.8428821e-05 1.3446321e-01]\n  [8.7574691e-01 6.9272878e-06 3.0227267e-05 1.2421592e-01]\n  [8.6673707e-01 9.9671179e-06 4.5765042e-05 1.3320725e-01]\n  [8.5777897e-01 1.3810341e-05 6.4705702e-05 1.4214256e-01]]\n\n [[8.1957221e-01 1.8135473e-03 3.7930782e-03 1.7482127e-01]\n  [8.6686665e-01 2.5473474e-04 6.0168933e-04 1.3227682e-01]\n  [8.7688684e-01 2.2008001e-04 5.5250811e-04 1.2234071e-01]\n  [8.6823565e-01 2.9230912e-04 7.4474665e-04 1.3072732e-01]\n  [8.5658842e-01 3.7665959e-04 9.5761084e-04 1.4207730e-01]]]\nPredicted mask after argmax for 2008_000419: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000419 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000419. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000428.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000428: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70897496e-01 1.00876878e-06 2.19709250e-06 2.90992297e-02]\n  [9.85483110e-01 2.01647854e-09 4.50916815e-09 1.45168975e-02]\n  [9.89670932e-01 1.70558859e-10 6.38629372e-10 1.03290891e-02]\n  [9.89945531e-01 1.18864252e-10 5.76970582e-10 1.00545427e-02]\n  [9.90271211e-01 7.09019163e-11 4.03016648e-10 9.72881541e-03]]\n\n [[9.89496887e-01 9.55149515e-10 4.45697479e-09 1.05031012e-02]\n  [9.89685774e-01 3.48433549e-13 1.93860444e-12 1.03142615e-02]\n  [9.88581598e-01 3.65247519e-14 4.33017446e-13 1.14184581e-02]\n  [9.87087667e-01 5.10910487e-14 9.39242716e-13 1.29122473e-02]\n  [9.86679018e-01 3.08428074e-14 7.92012994e-13 1.33209983e-02]]\n\n [[9.95469809e-01 5.01998651e-11 3.87683163e-10 4.53022914e-03]\n  [9.94940460e-01 1.33885212e-14 1.61740630e-13 5.05947229e-03]\n  [9.93027627e-01 2.18327486e-15 8.67020892e-14 6.97237765e-03]\n  [9.90057528e-01 4.60904720e-15 3.19756998e-13 9.94249992e-03]\n  [9.89720643e-01 2.53448457e-15 2.54617399e-13 1.02793174e-02]]\n\n ...\n\n [[9.52189147e-01 6.31384353e-07 2.73476826e-06 4.78074662e-02]\n  [9.49555635e-01 2.74967826e-09 2.38333762e-08 5.04443944e-02]\n  [9.51928377e-01 4.85552043e-10 7.94068189e-09 4.80716154e-02]\n  [9.55899954e-01 4.98508679e-10 1.04614850e-08 4.41000685e-02]\n  [9.57199454e-01 4.34894315e-10 9.47461398e-09 4.28005457e-02]]\n\n [[9.47773635e-01 1.09510518e-06 4.64308050e-06 5.22206537e-02]\n  [9.51680958e-01 5.56807089e-09 4.00455562e-08 4.83190306e-02]\n  [9.58587110e-01 1.23520016e-09 1.52542636e-08 4.14129123e-02]\n  [9.56318319e-01 1.49726476e-09 2.17647731e-08 4.36816961e-02]\n  [9.55174744e-01 1.40749923e-09 2.37175755e-08 4.48252559e-02]]\n\n [[9.20168221e-01 3.29067771e-05 1.10687230e-04 7.96881244e-02]\n  [9.56969261e-01 7.56583120e-07 3.17339368e-06 4.30267639e-02]\n  [9.65458810e-01 3.67092468e-07 1.75362322e-06 3.45391370e-02]\n  [9.63582814e-01 5.01624584e-07 2.58317027e-06 3.64142358e-02]\n  [9.59314644e-01 5.67319546e-07 3.06124912e-06 4.06816341e-02]]]\nPredicted mask after argmax for 2008_000428: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000428 has shape: (253, 400)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000428. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000428.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000428: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70897496e-01 1.00876878e-06 2.19709250e-06 2.90992297e-02]\n  [9.85483110e-01 2.01647854e-09 4.50916815e-09 1.45168975e-02]\n  [9.89670932e-01 1.70558859e-10 6.38629372e-10 1.03290891e-02]\n  [9.89945531e-01 1.18864252e-10 5.76970582e-10 1.00545427e-02]\n  [9.90271211e-01 7.09019163e-11 4.03016648e-10 9.72881541e-03]]\n\n [[9.89496887e-01 9.55149515e-10 4.45697479e-09 1.05031012e-02]\n  [9.89685774e-01 3.48433549e-13 1.93860444e-12 1.03142615e-02]\n  [9.88581598e-01 3.65247519e-14 4.33017446e-13 1.14184581e-02]\n  [9.87087667e-01 5.10910487e-14 9.39242716e-13 1.29122473e-02]\n  [9.86679018e-01 3.08428074e-14 7.92012994e-13 1.33209983e-02]]\n\n [[9.95469809e-01 5.01998651e-11 3.87683163e-10 4.53022914e-03]\n  [9.94940460e-01 1.33885212e-14 1.61740630e-13 5.05947229e-03]\n  [9.93027627e-01 2.18327486e-15 8.67020892e-14 6.97237765e-03]\n  [9.90057528e-01 4.60904720e-15 3.19756998e-13 9.94249992e-03]\n  [9.89720643e-01 2.53448457e-15 2.54617399e-13 1.02793174e-02]]\n\n ...\n\n [[9.52189147e-01 6.31384353e-07 2.73476826e-06 4.78074662e-02]\n  [9.49555635e-01 2.74967826e-09 2.38333762e-08 5.04443944e-02]\n  [9.51928377e-01 4.85552043e-10 7.94068189e-09 4.80716154e-02]\n  [9.55899954e-01 4.98508679e-10 1.04614850e-08 4.41000685e-02]\n  [9.57199454e-01 4.34894315e-10 9.47461398e-09 4.28005457e-02]]\n\n [[9.47773635e-01 1.09510518e-06 4.64308050e-06 5.22206537e-02]\n  [9.51680958e-01 5.56807089e-09 4.00455562e-08 4.83190306e-02]\n  [9.58587110e-01 1.23520016e-09 1.52542636e-08 4.14129123e-02]\n  [9.56318319e-01 1.49726476e-09 2.17647731e-08 4.36816961e-02]\n  [9.55174744e-01 1.40749923e-09 2.37175755e-08 4.48252559e-02]]\n\n [[9.20168221e-01 3.29067771e-05 1.10687230e-04 7.96881244e-02]\n  [9.56969261e-01 7.56583120e-07 3.17339368e-06 4.30267639e-02]\n  [9.65458810e-01 3.67092468e-07 1.75362322e-06 3.45391370e-02]\n  [9.63582814e-01 5.01624584e-07 2.58317027e-06 3.64142358e-02]\n  [9.59314644e-01 5.67319546e-07 3.06124912e-06 4.06816341e-02]]]\nPredicted mask after argmax for 2008_000428: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000428 has shape: (253, 400)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000428. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000428.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000428: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70897496e-01 1.00876878e-06 2.19709250e-06 2.90992297e-02]\n  [9.85483110e-01 2.01647854e-09 4.50916815e-09 1.45168975e-02]\n  [9.89670932e-01 1.70558859e-10 6.38629372e-10 1.03290891e-02]\n  [9.89945531e-01 1.18864252e-10 5.76970582e-10 1.00545427e-02]\n  [9.90271211e-01 7.09019163e-11 4.03016648e-10 9.72881541e-03]]\n\n [[9.89496887e-01 9.55149515e-10 4.45697479e-09 1.05031012e-02]\n  [9.89685774e-01 3.48433549e-13 1.93860444e-12 1.03142615e-02]\n  [9.88581598e-01 3.65247519e-14 4.33017446e-13 1.14184581e-02]\n  [9.87087667e-01 5.10910487e-14 9.39242716e-13 1.29122473e-02]\n  [9.86679018e-01 3.08428074e-14 7.92012994e-13 1.33209983e-02]]\n\n [[9.95469809e-01 5.01998651e-11 3.87683163e-10 4.53022914e-03]\n  [9.94940460e-01 1.33885212e-14 1.61740630e-13 5.05947229e-03]\n  [9.93027627e-01 2.18327486e-15 8.67020892e-14 6.97237765e-03]\n  [9.90057528e-01 4.60904720e-15 3.19756998e-13 9.94249992e-03]\n  [9.89720643e-01 2.53448457e-15 2.54617399e-13 1.02793174e-02]]\n\n ...\n\n [[9.52189147e-01 6.31384353e-07 2.73476826e-06 4.78074662e-02]\n  [9.49555635e-01 2.74967826e-09 2.38333762e-08 5.04443944e-02]\n  [9.51928377e-01 4.85552043e-10 7.94068189e-09 4.80716154e-02]\n  [9.55899954e-01 4.98508679e-10 1.04614850e-08 4.41000685e-02]\n  [9.57199454e-01 4.34894315e-10 9.47461398e-09 4.28005457e-02]]\n\n [[9.47773635e-01 1.09510518e-06 4.64308050e-06 5.22206537e-02]\n  [9.51680958e-01 5.56807089e-09 4.00455562e-08 4.83190306e-02]\n  [9.58587110e-01 1.23520016e-09 1.52542636e-08 4.14129123e-02]\n  [9.56318319e-01 1.49726476e-09 2.17647731e-08 4.36816961e-02]\n  [9.55174744e-01 1.40749923e-09 2.37175755e-08 4.48252559e-02]]\n\n [[9.20168221e-01 3.29067771e-05 1.10687230e-04 7.96881244e-02]\n  [9.56969261e-01 7.56583120e-07 3.17339368e-06 4.30267639e-02]\n  [9.65458810e-01 3.67092468e-07 1.75362322e-06 3.45391370e-02]\n  [9.63582814e-01 5.01624584e-07 2.58317027e-06 3.64142358e-02]\n  [9.59314644e-01 5.67319546e-07 3.06124912e-06 4.06816341e-02]]]\nPredicted mask after argmax for 2008_000428: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000428 has shape: (253, 400)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000428. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000428.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000428: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70897496e-01 1.00876878e-06 2.19709250e-06 2.90992297e-02]\n  [9.85483110e-01 2.01647854e-09 4.50916815e-09 1.45168975e-02]\n  [9.89670932e-01 1.70558859e-10 6.38629372e-10 1.03290891e-02]\n  [9.89945531e-01 1.18864252e-10 5.76970582e-10 1.00545427e-02]\n  [9.90271211e-01 7.09019163e-11 4.03016648e-10 9.72881541e-03]]\n\n [[9.89496887e-01 9.55149515e-10 4.45697479e-09 1.05031012e-02]\n  [9.89685774e-01 3.48433549e-13 1.93860444e-12 1.03142615e-02]\n  [9.88581598e-01 3.65247519e-14 4.33017446e-13 1.14184581e-02]\n  [9.87087667e-01 5.10910487e-14 9.39242716e-13 1.29122473e-02]\n  [9.86679018e-01 3.08428074e-14 7.92012994e-13 1.33209983e-02]]\n\n [[9.95469809e-01 5.01998651e-11 3.87683163e-10 4.53022914e-03]\n  [9.94940460e-01 1.33885212e-14 1.61740630e-13 5.05947229e-03]\n  [9.93027627e-01 2.18327486e-15 8.67020892e-14 6.97237765e-03]\n  [9.90057528e-01 4.60904720e-15 3.19756998e-13 9.94249992e-03]\n  [9.89720643e-01 2.53448457e-15 2.54617399e-13 1.02793174e-02]]\n\n ...\n\n [[9.52189147e-01 6.31384353e-07 2.73476826e-06 4.78074662e-02]\n  [9.49555635e-01 2.74967826e-09 2.38333762e-08 5.04443944e-02]\n  [9.51928377e-01 4.85552043e-10 7.94068189e-09 4.80716154e-02]\n  [9.55899954e-01 4.98508679e-10 1.04614850e-08 4.41000685e-02]\n  [9.57199454e-01 4.34894315e-10 9.47461398e-09 4.28005457e-02]]\n\n [[9.47773635e-01 1.09510518e-06 4.64308050e-06 5.22206537e-02]\n  [9.51680958e-01 5.56807089e-09 4.00455562e-08 4.83190306e-02]\n  [9.58587110e-01 1.23520016e-09 1.52542636e-08 4.14129123e-02]\n  [9.56318319e-01 1.49726476e-09 2.17647731e-08 4.36816961e-02]\n  [9.55174744e-01 1.40749923e-09 2.37175755e-08 4.48252559e-02]]\n\n [[9.20168221e-01 3.29067771e-05 1.10687230e-04 7.96881244e-02]\n  [9.56969261e-01 7.56583120e-07 3.17339368e-06 4.30267639e-02]\n  [9.65458810e-01 3.67092468e-07 1.75362322e-06 3.45391370e-02]\n  [9.63582814e-01 5.01624584e-07 2.58317027e-06 3.64142358e-02]\n  [9.59314644e-01 5.67319546e-07 3.06124912e-06 4.06816341e-02]]]\nPredicted mask after argmax for 2008_000428: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000428 has shape: (253, 400)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000428. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000464: (1, 256, 256, 4)\nSome predicted mask values: [[[9.32998598e-01 2.65604722e-05 4.79929040e-05 6.69267774e-02]\n  [9.57570076e-01 2.20730584e-07 4.97401743e-07 4.24292609e-02]\n  [9.64012802e-01 4.36834853e-08 1.50915326e-07 3.59870717e-02]\n  [9.62683380e-01 4.84556395e-08 1.97946989e-07 3.73164564e-02]\n  [9.60696757e-01 4.75730104e-08 2.12546624e-07 3.93030457e-02]]\n\n [[9.71144557e-01 9.41474170e-08 3.32610284e-07 2.88549606e-02]\n  [9.71150279e-01 1.89214144e-10 8.78035145e-10 2.88496278e-02]\n  [9.70436573e-01 3.34442127e-11 3.11604326e-10 2.95633972e-02]\n  [9.66686964e-01 5.93086621e-11 7.48491880e-10 3.33129987e-02]\n  [9.64611828e-01 6.02838265e-11 9.41583145e-10 3.53881605e-02]]\n\n [[9.84233141e-01 9.44985157e-09 5.01493460e-08 1.57668665e-02]\n  [9.82915103e-01 1.21806584e-11 1.04968451e-10 1.70849822e-02]\n  [9.79501426e-01 2.59993459e-12 5.64521728e-11 2.04985384e-02]\n  [9.75847304e-01 4.51048920e-12 1.41154713e-10 2.41526291e-02]\n  [9.74643767e-01 4.12245715e-12 1.59303168e-10 2.53561568e-02]]\n\n ...\n\n [[9.46346581e-01 2.78164975e-06 1.00499929e-05 5.36405705e-02]\n  [9.35140431e-01 4.68454715e-08 2.39981858e-07 6.48593754e-02]\n  [9.33129907e-01 2.12445261e-08 2.01294100e-07 6.68699294e-02]\n  [9.30248797e-01 3.16711457e-08 3.54277262e-07 6.97507933e-02]\n  [9.30419028e-01 3.16052429e-08 3.73719473e-07 6.95806369e-02]]\n\n [[9.28328037e-01 1.05639147e-05 3.46807137e-05 7.16267750e-02]\n  [9.23957944e-01 2.41319270e-07 1.03801949e-06 7.60408267e-02]\n  [9.29342210e-01 1.14444916e-07 8.17670525e-07 7.06569403e-02]\n  [9.23534930e-01 1.58123584e-07 1.30168007e-06 7.64636472e-02]\n  [9.19064105e-01 1.60687293e-07 1.48408856e-06 8.09342116e-02]]\n\n [[8.85778189e-01 2.59367254e-04 6.82049722e-04 1.13280512e-01]\n  [9.20076072e-01 1.95878656e-05 6.01164429e-05 7.98441768e-02]\n  [9.25746679e-01 1.58457224e-05 5.37804626e-05 7.41837174e-02]\n  [9.18904126e-01 2.24839932e-05 8.15633175e-05 8.09917524e-02]\n  [9.08584416e-01 2.50843168e-05 9.55450159e-05 9.12949666e-02]]]\nPredicted mask after argmax for 2008_000464: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000464 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000464. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000464: (1, 256, 256, 4)\nSome predicted mask values: [[[9.32998598e-01 2.65604722e-05 4.79929040e-05 6.69267774e-02]\n  [9.57570076e-01 2.20730584e-07 4.97401743e-07 4.24292609e-02]\n  [9.64012802e-01 4.36834853e-08 1.50915326e-07 3.59870717e-02]\n  [9.62683380e-01 4.84556395e-08 1.97946989e-07 3.73164564e-02]\n  [9.60696757e-01 4.75730104e-08 2.12546624e-07 3.93030457e-02]]\n\n [[9.71144557e-01 9.41474170e-08 3.32610284e-07 2.88549606e-02]\n  [9.71150279e-01 1.89214144e-10 8.78035145e-10 2.88496278e-02]\n  [9.70436573e-01 3.34442127e-11 3.11604326e-10 2.95633972e-02]\n  [9.66686964e-01 5.93086621e-11 7.48491880e-10 3.33129987e-02]\n  [9.64611828e-01 6.02838265e-11 9.41583145e-10 3.53881605e-02]]\n\n [[9.84233141e-01 9.44985157e-09 5.01493460e-08 1.57668665e-02]\n  [9.82915103e-01 1.21806584e-11 1.04968451e-10 1.70849822e-02]\n  [9.79501426e-01 2.59993459e-12 5.64521728e-11 2.04985384e-02]\n  [9.75847304e-01 4.51048920e-12 1.41154713e-10 2.41526291e-02]\n  [9.74643767e-01 4.12245715e-12 1.59303168e-10 2.53561568e-02]]\n\n ...\n\n [[9.46346581e-01 2.78164975e-06 1.00499929e-05 5.36405705e-02]\n  [9.35140431e-01 4.68454715e-08 2.39981858e-07 6.48593754e-02]\n  [9.33129907e-01 2.12445261e-08 2.01294100e-07 6.68699294e-02]\n  [9.30248797e-01 3.16711457e-08 3.54277262e-07 6.97507933e-02]\n  [9.30419028e-01 3.16052429e-08 3.73719473e-07 6.95806369e-02]]\n\n [[9.28328037e-01 1.05639147e-05 3.46807137e-05 7.16267750e-02]\n  [9.23957944e-01 2.41319270e-07 1.03801949e-06 7.60408267e-02]\n  [9.29342210e-01 1.14444916e-07 8.17670525e-07 7.06569403e-02]\n  [9.23534930e-01 1.58123584e-07 1.30168007e-06 7.64636472e-02]\n  [9.19064105e-01 1.60687293e-07 1.48408856e-06 8.09342116e-02]]\n\n [[8.85778189e-01 2.59367254e-04 6.82049722e-04 1.13280512e-01]\n  [9.20076072e-01 1.95878656e-05 6.01164429e-05 7.98441768e-02]\n  [9.25746679e-01 1.58457224e-05 5.37804626e-05 7.41837174e-02]\n  [9.18904126e-01 2.24839932e-05 8.15633175e-05 8.09917524e-02]\n  [9.08584416e-01 2.50843168e-05 9.55450159e-05 9.12949666e-02]]]\nPredicted mask after argmax for 2008_000464: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000464 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000464. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000464: (1, 256, 256, 4)\nSome predicted mask values: [[[9.32998598e-01 2.65604722e-05 4.79929040e-05 6.69267774e-02]\n  [9.57570076e-01 2.20730584e-07 4.97401743e-07 4.24292609e-02]\n  [9.64012802e-01 4.36834853e-08 1.50915326e-07 3.59870717e-02]\n  [9.62683380e-01 4.84556395e-08 1.97946989e-07 3.73164564e-02]\n  [9.60696757e-01 4.75730104e-08 2.12546624e-07 3.93030457e-02]]\n\n [[9.71144557e-01 9.41474170e-08 3.32610284e-07 2.88549606e-02]\n  [9.71150279e-01 1.89214144e-10 8.78035145e-10 2.88496278e-02]\n  [9.70436573e-01 3.34442127e-11 3.11604326e-10 2.95633972e-02]\n  [9.66686964e-01 5.93086621e-11 7.48491880e-10 3.33129987e-02]\n  [9.64611828e-01 6.02838265e-11 9.41583145e-10 3.53881605e-02]]\n\n [[9.84233141e-01 9.44985157e-09 5.01493460e-08 1.57668665e-02]\n  [9.82915103e-01 1.21806584e-11 1.04968451e-10 1.70849822e-02]\n  [9.79501426e-01 2.59993459e-12 5.64521728e-11 2.04985384e-02]\n  [9.75847304e-01 4.51048920e-12 1.41154713e-10 2.41526291e-02]\n  [9.74643767e-01 4.12245715e-12 1.59303168e-10 2.53561568e-02]]\n\n ...\n\n [[9.46346581e-01 2.78164975e-06 1.00499929e-05 5.36405705e-02]\n  [9.35140431e-01 4.68454715e-08 2.39981858e-07 6.48593754e-02]\n  [9.33129907e-01 2.12445261e-08 2.01294100e-07 6.68699294e-02]\n  [9.30248797e-01 3.16711457e-08 3.54277262e-07 6.97507933e-02]\n  [9.30419028e-01 3.16052429e-08 3.73719473e-07 6.95806369e-02]]\n\n [[9.28328037e-01 1.05639147e-05 3.46807137e-05 7.16267750e-02]\n  [9.23957944e-01 2.41319270e-07 1.03801949e-06 7.60408267e-02]\n  [9.29342210e-01 1.14444916e-07 8.17670525e-07 7.06569403e-02]\n  [9.23534930e-01 1.58123584e-07 1.30168007e-06 7.64636472e-02]\n  [9.19064105e-01 1.60687293e-07 1.48408856e-06 8.09342116e-02]]\n\n [[8.85778189e-01 2.59367254e-04 6.82049722e-04 1.13280512e-01]\n  [9.20076072e-01 1.95878656e-05 6.01164429e-05 7.98441768e-02]\n  [9.25746679e-01 1.58457224e-05 5.37804626e-05 7.41837174e-02]\n  [9.18904126e-01 2.24839932e-05 8.15633175e-05 8.09917524e-02]\n  [9.08584416e-01 2.50843168e-05 9.55450159e-05 9.12949666e-02]]]\nPredicted mask after argmax for 2008_000464: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000464 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000464. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000499.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000499: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75821912e-01 4.09054110e-07 9.56066401e-07 2.41766721e-02]\n  [9.90630686e-01 1.77644718e-10 4.88889984e-10 9.36930347e-03]\n  [9.95250463e-01 2.40255559e-12 1.30765095e-11 4.74946201e-03]\n  [9.95987236e-01 5.36235986e-13 4.39149238e-12 4.01273184e-03]\n  [9.96162891e-01 2.35209503e-13 2.39468428e-12 3.83713027e-03]]\n\n [[9.90676522e-01 3.21711852e-10 1.78593085e-09 9.32341348e-03]\n  [9.93431389e-01 1.28505960e-14 1.03461124e-13 6.56864140e-03]\n  [9.95406568e-01 8.73473941e-17 1.88853174e-15 4.59337467e-03]\n  [9.95949745e-01 1.56408224e-17 6.81605507e-16 4.05020034e-03]\n  [9.96215999e-01 3.78664714e-18 2.72773461e-16 3.78402648e-03]]\n\n [[9.95781958e-01 2.07267831e-11 2.07282955e-10 4.21804702e-03]\n  [9.96583819e-01 6.38272466e-16 1.24395564e-14 3.41620413e-03]\n  [9.96729732e-01 4.79730303e-18 4.41074593e-16 3.27030988e-03]\n  [9.97088552e-01 5.04036199e-19 1.23361825e-16 2.91144708e-03]\n  [9.97774303e-01 3.63528851e-20 1.71278185e-17 2.22562393e-03]]\n\n ...\n\n [[9.06407773e-01 2.38272351e-05 7.58281531e-05 9.34925303e-02]\n  [9.00582790e-01 6.01980560e-07 2.96608027e-06 9.94135663e-02]\n  [9.06214178e-01 2.66408648e-07 1.93165124e-06 9.37836841e-02]\n  [9.04198766e-01 3.90228053e-07 3.13426858e-06 9.57977250e-02]\n  [9.01622951e-01 4.78343907e-07 3.77771789e-06 9.83728841e-02]]\n\n [[8.90199780e-01 6.58837307e-05 1.88616017e-04 1.09545715e-01]\n  [8.91969562e-01 2.19350704e-06 8.76420199e-06 1.08019479e-01]\n  [9.04966116e-01 9.95620212e-07 5.57976182e-06 9.50273126e-02]\n  [8.98784101e-01 1.26046700e-06 7.72004478e-06 1.01206936e-01]\n  [8.93796206e-01 1.37987536e-06 9.05311663e-06 1.06193416e-01]]\n\n [[8.46487820e-01 8.34733888e-04 1.94928213e-03 1.50728151e-01]\n  [8.93273413e-01 8.15235617e-05 2.20769318e-04 1.06424324e-01]\n  [9.05611753e-01 5.75147897e-05 1.68527869e-04 9.41621810e-02]\n  [8.99311066e-01 7.10807872e-05 2.14545726e-04 1.00403398e-01]\n  [8.89888227e-01 8.27133481e-05 2.50904093e-04 1.09778114e-01]]]\nPredicted mask after argmax for 2008_000499: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000499 has shape: (374, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000499. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000499.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000499: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75821912e-01 4.09054110e-07 9.56066401e-07 2.41766721e-02]\n  [9.90630686e-01 1.77644718e-10 4.88889984e-10 9.36930347e-03]\n  [9.95250463e-01 2.40255559e-12 1.30765095e-11 4.74946201e-03]\n  [9.95987236e-01 5.36235986e-13 4.39149238e-12 4.01273184e-03]\n  [9.96162891e-01 2.35209503e-13 2.39468428e-12 3.83713027e-03]]\n\n [[9.90676522e-01 3.21711852e-10 1.78593085e-09 9.32341348e-03]\n  [9.93431389e-01 1.28505960e-14 1.03461124e-13 6.56864140e-03]\n  [9.95406568e-01 8.73473941e-17 1.88853174e-15 4.59337467e-03]\n  [9.95949745e-01 1.56408224e-17 6.81605507e-16 4.05020034e-03]\n  [9.96215999e-01 3.78664714e-18 2.72773461e-16 3.78402648e-03]]\n\n [[9.95781958e-01 2.07267831e-11 2.07282955e-10 4.21804702e-03]\n  [9.96583819e-01 6.38272466e-16 1.24395564e-14 3.41620413e-03]\n  [9.96729732e-01 4.79730303e-18 4.41074593e-16 3.27030988e-03]\n  [9.97088552e-01 5.04036199e-19 1.23361825e-16 2.91144708e-03]\n  [9.97774303e-01 3.63528851e-20 1.71278185e-17 2.22562393e-03]]\n\n ...\n\n [[9.06407773e-01 2.38272351e-05 7.58281531e-05 9.34925303e-02]\n  [9.00582790e-01 6.01980560e-07 2.96608027e-06 9.94135663e-02]\n  [9.06214178e-01 2.66408648e-07 1.93165124e-06 9.37836841e-02]\n  [9.04198766e-01 3.90228053e-07 3.13426858e-06 9.57977250e-02]\n  [9.01622951e-01 4.78343907e-07 3.77771789e-06 9.83728841e-02]]\n\n [[8.90199780e-01 6.58837307e-05 1.88616017e-04 1.09545715e-01]\n  [8.91969562e-01 2.19350704e-06 8.76420199e-06 1.08019479e-01]\n  [9.04966116e-01 9.95620212e-07 5.57976182e-06 9.50273126e-02]\n  [8.98784101e-01 1.26046700e-06 7.72004478e-06 1.01206936e-01]\n  [8.93796206e-01 1.37987536e-06 9.05311663e-06 1.06193416e-01]]\n\n [[8.46487820e-01 8.34733888e-04 1.94928213e-03 1.50728151e-01]\n  [8.93273413e-01 8.15235617e-05 2.20769318e-04 1.06424324e-01]\n  [9.05611753e-01 5.75147897e-05 1.68527869e-04 9.41621810e-02]\n  [8.99311066e-01 7.10807872e-05 2.14545726e-04 1.00403398e-01]\n  [8.89888227e-01 8.27133481e-05 2.50904093e-04 1.09778114e-01]]]\nPredicted mask after argmax for 2008_000499: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000499 has shape: (374, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000499. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000499.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000499: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75821912e-01 4.09054110e-07 9.56066401e-07 2.41766721e-02]\n  [9.90630686e-01 1.77644718e-10 4.88889984e-10 9.36930347e-03]\n  [9.95250463e-01 2.40255559e-12 1.30765095e-11 4.74946201e-03]\n  [9.95987236e-01 5.36235986e-13 4.39149238e-12 4.01273184e-03]\n  [9.96162891e-01 2.35209503e-13 2.39468428e-12 3.83713027e-03]]\n\n [[9.90676522e-01 3.21711852e-10 1.78593085e-09 9.32341348e-03]\n  [9.93431389e-01 1.28505960e-14 1.03461124e-13 6.56864140e-03]\n  [9.95406568e-01 8.73473941e-17 1.88853174e-15 4.59337467e-03]\n  [9.95949745e-01 1.56408224e-17 6.81605507e-16 4.05020034e-03]\n  [9.96215999e-01 3.78664714e-18 2.72773461e-16 3.78402648e-03]]\n\n [[9.95781958e-01 2.07267831e-11 2.07282955e-10 4.21804702e-03]\n  [9.96583819e-01 6.38272466e-16 1.24395564e-14 3.41620413e-03]\n  [9.96729732e-01 4.79730303e-18 4.41074593e-16 3.27030988e-03]\n  [9.97088552e-01 5.04036199e-19 1.23361825e-16 2.91144708e-03]\n  [9.97774303e-01 3.63528851e-20 1.71278185e-17 2.22562393e-03]]\n\n ...\n\n [[9.06407773e-01 2.38272351e-05 7.58281531e-05 9.34925303e-02]\n  [9.00582790e-01 6.01980560e-07 2.96608027e-06 9.94135663e-02]\n  [9.06214178e-01 2.66408648e-07 1.93165124e-06 9.37836841e-02]\n  [9.04198766e-01 3.90228053e-07 3.13426858e-06 9.57977250e-02]\n  [9.01622951e-01 4.78343907e-07 3.77771789e-06 9.83728841e-02]]\n\n [[8.90199780e-01 6.58837307e-05 1.88616017e-04 1.09545715e-01]\n  [8.91969562e-01 2.19350704e-06 8.76420199e-06 1.08019479e-01]\n  [9.04966116e-01 9.95620212e-07 5.57976182e-06 9.50273126e-02]\n  [8.98784101e-01 1.26046700e-06 7.72004478e-06 1.01206936e-01]\n  [8.93796206e-01 1.37987536e-06 9.05311663e-06 1.06193416e-01]]\n\n [[8.46487820e-01 8.34733888e-04 1.94928213e-03 1.50728151e-01]\n  [8.93273413e-01 8.15235617e-05 2.20769318e-04 1.06424324e-01]\n  [9.05611753e-01 5.75147897e-05 1.68527869e-04 9.41621810e-02]\n  [8.99311066e-01 7.10807872e-05 2.14545726e-04 1.00403398e-01]\n  [8.89888227e-01 8.27133481e-05 2.50904093e-04 1.09778114e-01]]]\nPredicted mask after argmax for 2008_000499: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000499 has shape: (374, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000499. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000499.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000499: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75821912e-01 4.09054110e-07 9.56066401e-07 2.41766721e-02]\n  [9.90630686e-01 1.77644718e-10 4.88889984e-10 9.36930347e-03]\n  [9.95250463e-01 2.40255559e-12 1.30765095e-11 4.74946201e-03]\n  [9.95987236e-01 5.36235986e-13 4.39149238e-12 4.01273184e-03]\n  [9.96162891e-01 2.35209503e-13 2.39468428e-12 3.83713027e-03]]\n\n [[9.90676522e-01 3.21711852e-10 1.78593085e-09 9.32341348e-03]\n  [9.93431389e-01 1.28505960e-14 1.03461124e-13 6.56864140e-03]\n  [9.95406568e-01 8.73473941e-17 1.88853174e-15 4.59337467e-03]\n  [9.95949745e-01 1.56408224e-17 6.81605507e-16 4.05020034e-03]\n  [9.96215999e-01 3.78664714e-18 2.72773461e-16 3.78402648e-03]]\n\n [[9.95781958e-01 2.07267831e-11 2.07282955e-10 4.21804702e-03]\n  [9.96583819e-01 6.38272466e-16 1.24395564e-14 3.41620413e-03]\n  [9.96729732e-01 4.79730303e-18 4.41074593e-16 3.27030988e-03]\n  [9.97088552e-01 5.04036199e-19 1.23361825e-16 2.91144708e-03]\n  [9.97774303e-01 3.63528851e-20 1.71278185e-17 2.22562393e-03]]\n\n ...\n\n [[9.06407773e-01 2.38272351e-05 7.58281531e-05 9.34925303e-02]\n  [9.00582790e-01 6.01980560e-07 2.96608027e-06 9.94135663e-02]\n  [9.06214178e-01 2.66408648e-07 1.93165124e-06 9.37836841e-02]\n  [9.04198766e-01 3.90228053e-07 3.13426858e-06 9.57977250e-02]\n  [9.01622951e-01 4.78343907e-07 3.77771789e-06 9.83728841e-02]]\n\n [[8.90199780e-01 6.58837307e-05 1.88616017e-04 1.09545715e-01]\n  [8.91969562e-01 2.19350704e-06 8.76420199e-06 1.08019479e-01]\n  [9.04966116e-01 9.95620212e-07 5.57976182e-06 9.50273126e-02]\n  [8.98784101e-01 1.26046700e-06 7.72004478e-06 1.01206936e-01]\n  [8.93796206e-01 1.37987536e-06 9.05311663e-06 1.06193416e-01]]\n\n [[8.46487820e-01 8.34733888e-04 1.94928213e-03 1.50728151e-01]\n  [8.93273413e-01 8.15235617e-05 2.20769318e-04 1.06424324e-01]\n  [9.05611753e-01 5.75147897e-05 1.68527869e-04 9.41621810e-02]\n  [8.99311066e-01 7.10807872e-05 2.14545726e-04 1.00403398e-01]\n  [8.89888227e-01 8.27133481e-05 2.50904093e-04 1.09778114e-01]]]\nPredicted mask after argmax for 2008_000499: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000499 has shape: (374, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000499. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000502.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000502: (1, 256, 256, 4)\nSome predicted mask values: [[[9.41807628e-01 2.42106507e-05 4.33889509e-05 5.81247397e-02]\n  [9.63142514e-01 2.97729457e-07 4.87055672e-07 3.68567035e-02]\n  [9.69729245e-01 5.54615234e-08 1.35980358e-07 3.02706193e-02]\n  [9.69509006e-01 4.01024032e-08 1.27015653e-07 3.04908920e-02]\n  [9.70710874e-01 2.28909531e-08 8.42095389e-08 2.92890090e-02]]\n\n [[9.74544048e-01 1.04243313e-07 3.35437790e-07 2.54555549e-02]\n  [9.72582519e-01 3.32706696e-10 1.12507070e-09 2.74174772e-02]\n  [9.67412829e-01 8.19104576e-11 4.97908881e-10 3.25871743e-02]\n  [9.63381648e-01 1.06562481e-10 9.74015757e-10 3.66183594e-02]\n  [9.63025987e-01 5.95370073e-11 7.33384575e-10 3.69740203e-02]]\n\n [[9.87268448e-01 7.86482524e-09 3.71063464e-08 1.27315763e-02]\n  [9.84730959e-01 1.99032336e-11 1.20690499e-10 1.52690280e-02]\n  [9.78584647e-01 7.17659656e-12 1.16500601e-10 2.14153063e-02]\n  [9.69295025e-01 1.46306300e-11 3.80429133e-10 3.07048932e-02]\n  [9.68800128e-01 7.68135815e-12 2.78441631e-10 3.11998036e-02]]\n\n ...\n\n [[9.47791398e-01 1.13359840e-06 4.71260455e-06 5.22027016e-02]\n  [9.44262385e-01 7.53272378e-09 5.78614987e-08 5.57375215e-02]\n  [9.45363343e-01 1.87944704e-09 2.56427963e-08 5.46366908e-02]\n  [9.48094249e-01 2.22814833e-09 3.75200955e-08 5.19057885e-02]\n  [9.49121773e-01 2.04554906e-09 3.57116896e-08 5.08782230e-02]]\n\n [[9.38583493e-01 2.94250503e-06 1.13655979e-05 6.14021756e-02]\n  [9.41582680e-01 2.52733319e-08 1.54805676e-07 5.84171824e-02]\n  [9.48723316e-01 7.19460624e-09 7.25161939e-08 5.12765236e-02]\n  [9.45432961e-01 8.90563978e-09 1.03825421e-07 5.45669757e-02]\n  [9.44125473e-01 8.30376301e-09 1.11867671e-07 5.58744147e-02]]\n\n [[9.05360341e-01 7.97651373e-05 2.42888927e-04 9.43170711e-02]\n  [9.44260478e-01 2.84150565e-06 1.05106283e-05 5.57262488e-02]\n  [9.53404009e-01 1.57046941e-06 6.55432041e-06 4.65878136e-02]\n  [9.50682461e-01 2.08577762e-06 9.30526403e-06 4.93062586e-02]\n  [9.45353448e-01 2.27121086e-06 1.06235575e-05 5.46336845e-02]]]\nPredicted mask after argmax for 2008_000502: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000502 has shape: (500, 405)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000502. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000502.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000502: (1, 256, 256, 4)\nSome predicted mask values: [[[9.41807628e-01 2.42106507e-05 4.33889509e-05 5.81247397e-02]\n  [9.63142514e-01 2.97729457e-07 4.87055672e-07 3.68567035e-02]\n  [9.69729245e-01 5.54615234e-08 1.35980358e-07 3.02706193e-02]\n  [9.69509006e-01 4.01024032e-08 1.27015653e-07 3.04908920e-02]\n  [9.70710874e-01 2.28909531e-08 8.42095389e-08 2.92890090e-02]]\n\n [[9.74544048e-01 1.04243313e-07 3.35437790e-07 2.54555549e-02]\n  [9.72582519e-01 3.32706696e-10 1.12507070e-09 2.74174772e-02]\n  [9.67412829e-01 8.19104576e-11 4.97908881e-10 3.25871743e-02]\n  [9.63381648e-01 1.06562481e-10 9.74015757e-10 3.66183594e-02]\n  [9.63025987e-01 5.95370073e-11 7.33384575e-10 3.69740203e-02]]\n\n [[9.87268448e-01 7.86482524e-09 3.71063464e-08 1.27315763e-02]\n  [9.84730959e-01 1.99032336e-11 1.20690499e-10 1.52690280e-02]\n  [9.78584647e-01 7.17659656e-12 1.16500601e-10 2.14153063e-02]\n  [9.69295025e-01 1.46306300e-11 3.80429133e-10 3.07048932e-02]\n  [9.68800128e-01 7.68135815e-12 2.78441631e-10 3.11998036e-02]]\n\n ...\n\n [[9.47791398e-01 1.13359840e-06 4.71260455e-06 5.22027016e-02]\n  [9.44262385e-01 7.53272378e-09 5.78614987e-08 5.57375215e-02]\n  [9.45363343e-01 1.87944704e-09 2.56427963e-08 5.46366908e-02]\n  [9.48094249e-01 2.22814833e-09 3.75200955e-08 5.19057885e-02]\n  [9.49121773e-01 2.04554906e-09 3.57116896e-08 5.08782230e-02]]\n\n [[9.38583493e-01 2.94250503e-06 1.13655979e-05 6.14021756e-02]\n  [9.41582680e-01 2.52733319e-08 1.54805676e-07 5.84171824e-02]\n  [9.48723316e-01 7.19460624e-09 7.25161939e-08 5.12765236e-02]\n  [9.45432961e-01 8.90563978e-09 1.03825421e-07 5.45669757e-02]\n  [9.44125473e-01 8.30376301e-09 1.11867671e-07 5.58744147e-02]]\n\n [[9.05360341e-01 7.97651373e-05 2.42888927e-04 9.43170711e-02]\n  [9.44260478e-01 2.84150565e-06 1.05106283e-05 5.57262488e-02]\n  [9.53404009e-01 1.57046941e-06 6.55432041e-06 4.65878136e-02]\n  [9.50682461e-01 2.08577762e-06 9.30526403e-06 4.93062586e-02]\n  [9.45353448e-01 2.27121086e-06 1.06235575e-05 5.46336845e-02]]]\nPredicted mask after argmax for 2008_000502: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000502 has shape: (500, 405)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000502. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000502.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000502: (1, 256, 256, 4)\nSome predicted mask values: [[[9.41807628e-01 2.42106507e-05 4.33889509e-05 5.81247397e-02]\n  [9.63142514e-01 2.97729457e-07 4.87055672e-07 3.68567035e-02]\n  [9.69729245e-01 5.54615234e-08 1.35980358e-07 3.02706193e-02]\n  [9.69509006e-01 4.01024032e-08 1.27015653e-07 3.04908920e-02]\n  [9.70710874e-01 2.28909531e-08 8.42095389e-08 2.92890090e-02]]\n\n [[9.74544048e-01 1.04243313e-07 3.35437790e-07 2.54555549e-02]\n  [9.72582519e-01 3.32706696e-10 1.12507070e-09 2.74174772e-02]\n  [9.67412829e-01 8.19104576e-11 4.97908881e-10 3.25871743e-02]\n  [9.63381648e-01 1.06562481e-10 9.74015757e-10 3.66183594e-02]\n  [9.63025987e-01 5.95370073e-11 7.33384575e-10 3.69740203e-02]]\n\n [[9.87268448e-01 7.86482524e-09 3.71063464e-08 1.27315763e-02]\n  [9.84730959e-01 1.99032336e-11 1.20690499e-10 1.52690280e-02]\n  [9.78584647e-01 7.17659656e-12 1.16500601e-10 2.14153063e-02]\n  [9.69295025e-01 1.46306300e-11 3.80429133e-10 3.07048932e-02]\n  [9.68800128e-01 7.68135815e-12 2.78441631e-10 3.11998036e-02]]\n\n ...\n\n [[9.47791398e-01 1.13359840e-06 4.71260455e-06 5.22027016e-02]\n  [9.44262385e-01 7.53272378e-09 5.78614987e-08 5.57375215e-02]\n  [9.45363343e-01 1.87944704e-09 2.56427963e-08 5.46366908e-02]\n  [9.48094249e-01 2.22814833e-09 3.75200955e-08 5.19057885e-02]\n  [9.49121773e-01 2.04554906e-09 3.57116896e-08 5.08782230e-02]]\n\n [[9.38583493e-01 2.94250503e-06 1.13655979e-05 6.14021756e-02]\n  [9.41582680e-01 2.52733319e-08 1.54805676e-07 5.84171824e-02]\n  [9.48723316e-01 7.19460624e-09 7.25161939e-08 5.12765236e-02]\n  [9.45432961e-01 8.90563978e-09 1.03825421e-07 5.45669757e-02]\n  [9.44125473e-01 8.30376301e-09 1.11867671e-07 5.58744147e-02]]\n\n [[9.05360341e-01 7.97651373e-05 2.42888927e-04 9.43170711e-02]\n  [9.44260478e-01 2.84150565e-06 1.05106283e-05 5.57262488e-02]\n  [9.53404009e-01 1.57046941e-06 6.55432041e-06 4.65878136e-02]\n  [9.50682461e-01 2.08577762e-06 9.30526403e-06 4.93062586e-02]\n  [9.45353448e-01 2.27121086e-06 1.06235575e-05 5.46336845e-02]]]\nPredicted mask after argmax for 2008_000502: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000502 has shape: (500, 405)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000502. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000502.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000502: (1, 256, 256, 4)\nSome predicted mask values: [[[9.41807628e-01 2.42106507e-05 4.33889509e-05 5.81247397e-02]\n  [9.63142514e-01 2.97729457e-07 4.87055672e-07 3.68567035e-02]\n  [9.69729245e-01 5.54615234e-08 1.35980358e-07 3.02706193e-02]\n  [9.69509006e-01 4.01024032e-08 1.27015653e-07 3.04908920e-02]\n  [9.70710874e-01 2.28909531e-08 8.42095389e-08 2.92890090e-02]]\n\n [[9.74544048e-01 1.04243313e-07 3.35437790e-07 2.54555549e-02]\n  [9.72582519e-01 3.32706696e-10 1.12507070e-09 2.74174772e-02]\n  [9.67412829e-01 8.19104576e-11 4.97908881e-10 3.25871743e-02]\n  [9.63381648e-01 1.06562481e-10 9.74015757e-10 3.66183594e-02]\n  [9.63025987e-01 5.95370073e-11 7.33384575e-10 3.69740203e-02]]\n\n [[9.87268448e-01 7.86482524e-09 3.71063464e-08 1.27315763e-02]\n  [9.84730959e-01 1.99032336e-11 1.20690499e-10 1.52690280e-02]\n  [9.78584647e-01 7.17659656e-12 1.16500601e-10 2.14153063e-02]\n  [9.69295025e-01 1.46306300e-11 3.80429133e-10 3.07048932e-02]\n  [9.68800128e-01 7.68135815e-12 2.78441631e-10 3.11998036e-02]]\n\n ...\n\n [[9.47791398e-01 1.13359840e-06 4.71260455e-06 5.22027016e-02]\n  [9.44262385e-01 7.53272378e-09 5.78614987e-08 5.57375215e-02]\n  [9.45363343e-01 1.87944704e-09 2.56427963e-08 5.46366908e-02]\n  [9.48094249e-01 2.22814833e-09 3.75200955e-08 5.19057885e-02]\n  [9.49121773e-01 2.04554906e-09 3.57116896e-08 5.08782230e-02]]\n\n [[9.38583493e-01 2.94250503e-06 1.13655979e-05 6.14021756e-02]\n  [9.41582680e-01 2.52733319e-08 1.54805676e-07 5.84171824e-02]\n  [9.48723316e-01 7.19460624e-09 7.25161939e-08 5.12765236e-02]\n  [9.45432961e-01 8.90563978e-09 1.03825421e-07 5.45669757e-02]\n  [9.44125473e-01 8.30376301e-09 1.11867671e-07 5.58744147e-02]]\n\n [[9.05360341e-01 7.97651373e-05 2.42888927e-04 9.43170711e-02]\n  [9.44260478e-01 2.84150565e-06 1.05106283e-05 5.57262488e-02]\n  [9.53404009e-01 1.57046941e-06 6.55432041e-06 4.65878136e-02]\n  [9.50682461e-01 2.08577762e-06 9.30526403e-06 4.93062586e-02]\n  [9.45353448e-01 2.27121086e-06 1.06235575e-05 5.46336845e-02]]]\nPredicted mask after argmax for 2008_000502: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000502 has shape: (500, 405)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000502. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000536: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96360242e-01 3.33942402e-10 1.09710396e-09 3.63979954e-03]\n  [9.99050677e-01 1.43145705e-14 3.58945526e-14 9.49296635e-04]\n  [9.99521971e-01 1.17889278e-16 6.17641443e-16 4.78083297e-04]\n  [9.99630809e-01 1.34368724e-17 1.28039644e-16 3.69140122e-04]\n  [9.99750674e-01 1.23815227e-18 1.58826801e-17 2.49301927e-04]]\n\n [[9.99273241e-01 6.23964152e-15 6.18823027e-14 7.26726430e-04]\n  [9.99372840e-01 1.19010465e-20 1.28235148e-19 6.27140515e-04]\n  [9.99228954e-01 1.36259439e-22 4.50861053e-21 7.71037943e-04]\n  [9.99226451e-01 4.11933477e-23 3.45559750e-21 7.73574808e-04]\n  [9.99354303e-01 3.11514072e-24 5.02931114e-22 6.45678490e-04]]\n\n [[9.99845982e-01 2.73320641e-17 5.91641608e-16 1.54002017e-04]\n  [9.99848843e-01 3.04147941e-23 1.13291755e-21 1.51131841e-04]\n  [9.99736130e-01 7.04432771e-25 2.13360293e-22 2.63873837e-04]\n  [9.99538243e-01 6.15318211e-25 6.06753135e-22 4.61672287e-04]\n  [9.99592781e-01 4.68420459e-26 1.15575494e-22 4.07230400e-04]]\n\n ...\n\n [[9.32471514e-01 1.83423981e-06 8.20900823e-06 6.75184056e-02]\n  [9.49419856e-01 5.26881694e-09 5.10871239e-08 5.05800992e-02]\n  [9.57321048e-01 7.08233028e-10 1.18295445e-08 4.26789075e-02]\n  [9.61544275e-01 5.85616666e-10 1.12368728e-08 3.84557173e-02]\n  [9.61932242e-01 5.62660751e-10 1.09903455e-08 3.80677320e-02]]\n\n [[9.15210903e-01 7.46159776e-06 3.00196953e-05 8.47516879e-02]\n  [9.36964929e-01 4.16402735e-08 2.97327659e-07 6.30346686e-02]\n  [9.48754668e-01 7.54961516e-09 8.34453004e-08 5.12451865e-02]\n  [9.50306594e-01 6.08693940e-09 7.83943719e-08 4.96932864e-02]\n  [9.50776160e-01 5.53080515e-09 7.77728815e-08 4.92236689e-02]]\n\n [[8.71860087e-01 2.34153718e-04 6.92363479e-04 1.27213359e-01]\n  [9.21995580e-01 9.30173246e-06 3.31190495e-05 7.79620111e-02]\n  [9.39276576e-01 3.55443626e-06 1.52656830e-05 6.07045442e-02]\n  [9.37695622e-01 3.60328909e-06 1.64029552e-05 6.22843541e-02]\n  [9.35160756e-01 3.62259630e-06 1.71946340e-05 6.48185611e-02]]]\nPredicted mask after argmax for 2008_000536: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000536 has shape: (458, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000536. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000536: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96360242e-01 3.33942402e-10 1.09710396e-09 3.63979954e-03]\n  [9.99050677e-01 1.43145705e-14 3.58945526e-14 9.49296635e-04]\n  [9.99521971e-01 1.17889278e-16 6.17641443e-16 4.78083297e-04]\n  [9.99630809e-01 1.34368724e-17 1.28039644e-16 3.69140122e-04]\n  [9.99750674e-01 1.23815227e-18 1.58826801e-17 2.49301927e-04]]\n\n [[9.99273241e-01 6.23964152e-15 6.18823027e-14 7.26726430e-04]\n  [9.99372840e-01 1.19010465e-20 1.28235148e-19 6.27140515e-04]\n  [9.99228954e-01 1.36259439e-22 4.50861053e-21 7.71037943e-04]\n  [9.99226451e-01 4.11933477e-23 3.45559750e-21 7.73574808e-04]\n  [9.99354303e-01 3.11514072e-24 5.02931114e-22 6.45678490e-04]]\n\n [[9.99845982e-01 2.73320641e-17 5.91641608e-16 1.54002017e-04]\n  [9.99848843e-01 3.04147941e-23 1.13291755e-21 1.51131841e-04]\n  [9.99736130e-01 7.04432771e-25 2.13360293e-22 2.63873837e-04]\n  [9.99538243e-01 6.15318211e-25 6.06753135e-22 4.61672287e-04]\n  [9.99592781e-01 4.68420459e-26 1.15575494e-22 4.07230400e-04]]\n\n ...\n\n [[9.32471514e-01 1.83423981e-06 8.20900823e-06 6.75184056e-02]\n  [9.49419856e-01 5.26881694e-09 5.10871239e-08 5.05800992e-02]\n  [9.57321048e-01 7.08233028e-10 1.18295445e-08 4.26789075e-02]\n  [9.61544275e-01 5.85616666e-10 1.12368728e-08 3.84557173e-02]\n  [9.61932242e-01 5.62660751e-10 1.09903455e-08 3.80677320e-02]]\n\n [[9.15210903e-01 7.46159776e-06 3.00196953e-05 8.47516879e-02]\n  [9.36964929e-01 4.16402735e-08 2.97327659e-07 6.30346686e-02]\n  [9.48754668e-01 7.54961516e-09 8.34453004e-08 5.12451865e-02]\n  [9.50306594e-01 6.08693940e-09 7.83943719e-08 4.96932864e-02]\n  [9.50776160e-01 5.53080515e-09 7.77728815e-08 4.92236689e-02]]\n\n [[8.71860087e-01 2.34153718e-04 6.92363479e-04 1.27213359e-01]\n  [9.21995580e-01 9.30173246e-06 3.31190495e-05 7.79620111e-02]\n  [9.39276576e-01 3.55443626e-06 1.52656830e-05 6.07045442e-02]\n  [9.37695622e-01 3.60328909e-06 1.64029552e-05 6.22843541e-02]\n  [9.35160756e-01 3.62259630e-06 1.71946340e-05 6.48185611e-02]]]\nPredicted mask after argmax for 2008_000536: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000536 has shape: (458, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000536. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000536: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96360242e-01 3.33942402e-10 1.09710396e-09 3.63979954e-03]\n  [9.99050677e-01 1.43145705e-14 3.58945526e-14 9.49296635e-04]\n  [9.99521971e-01 1.17889278e-16 6.17641443e-16 4.78083297e-04]\n  [9.99630809e-01 1.34368724e-17 1.28039644e-16 3.69140122e-04]\n  [9.99750674e-01 1.23815227e-18 1.58826801e-17 2.49301927e-04]]\n\n [[9.99273241e-01 6.23964152e-15 6.18823027e-14 7.26726430e-04]\n  [9.99372840e-01 1.19010465e-20 1.28235148e-19 6.27140515e-04]\n  [9.99228954e-01 1.36259439e-22 4.50861053e-21 7.71037943e-04]\n  [9.99226451e-01 4.11933477e-23 3.45559750e-21 7.73574808e-04]\n  [9.99354303e-01 3.11514072e-24 5.02931114e-22 6.45678490e-04]]\n\n [[9.99845982e-01 2.73320641e-17 5.91641608e-16 1.54002017e-04]\n  [9.99848843e-01 3.04147941e-23 1.13291755e-21 1.51131841e-04]\n  [9.99736130e-01 7.04432771e-25 2.13360293e-22 2.63873837e-04]\n  [9.99538243e-01 6.15318211e-25 6.06753135e-22 4.61672287e-04]\n  [9.99592781e-01 4.68420459e-26 1.15575494e-22 4.07230400e-04]]\n\n ...\n\n [[9.32471514e-01 1.83423981e-06 8.20900823e-06 6.75184056e-02]\n  [9.49419856e-01 5.26881694e-09 5.10871239e-08 5.05800992e-02]\n  [9.57321048e-01 7.08233028e-10 1.18295445e-08 4.26789075e-02]\n  [9.61544275e-01 5.85616666e-10 1.12368728e-08 3.84557173e-02]\n  [9.61932242e-01 5.62660751e-10 1.09903455e-08 3.80677320e-02]]\n\n [[9.15210903e-01 7.46159776e-06 3.00196953e-05 8.47516879e-02]\n  [9.36964929e-01 4.16402735e-08 2.97327659e-07 6.30346686e-02]\n  [9.48754668e-01 7.54961516e-09 8.34453004e-08 5.12451865e-02]\n  [9.50306594e-01 6.08693940e-09 7.83943719e-08 4.96932864e-02]\n  [9.50776160e-01 5.53080515e-09 7.77728815e-08 4.92236689e-02]]\n\n [[8.71860087e-01 2.34153718e-04 6.92363479e-04 1.27213359e-01]\n  [9.21995580e-01 9.30173246e-06 3.31190495e-05 7.79620111e-02]\n  [9.39276576e-01 3.55443626e-06 1.52656830e-05 6.07045442e-02]\n  [9.37695622e-01 3.60328909e-06 1.64029552e-05 6.22843541e-02]\n  [9.35160756e-01 3.62259630e-06 1.71946340e-05 6.48185611e-02]]]\nPredicted mask after argmax for 2008_000536: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000536 has shape: (458, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000536. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000552.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000552: (1, 256, 256, 4)\nSome predicted mask values: [[[9.34460282e-01 3.63496038e-05 6.32129377e-05 6.54402673e-02]\n  [9.54178631e-01 6.18869819e-07 1.05605136e-06 4.58197966e-02]\n  [9.58675802e-01 1.76563248e-07 4.59112073e-07 4.13235463e-02]\n  [9.54774320e-01 2.09424044e-07 6.86343753e-07 4.52247411e-02]\n  [9.52227950e-01 1.83702824e-07 6.91461480e-07 4.77712080e-02]]\n\n [[9.71845388e-01 1.61386723e-07 5.05106300e-07 2.81539671e-02]\n  [9.68122005e-01 7.68463182e-10 2.58646238e-09 3.18779312e-02]\n  [9.61684108e-01 2.69716804e-10 1.71885528e-09 3.83158773e-02]\n  [9.54515874e-01 5.65968550e-10 5.23183097e-09 4.54841070e-02]\n  [9.52280343e-01 4.78390827e-10 5.85712279e-09 4.77196313e-02]]\n\n [[9.85494971e-01 1.32362885e-08 5.96607705e-08 1.45049561e-02]\n  [9.81941342e-01 4.47592761e-11 2.58558258e-10 1.80586576e-02]\n  [9.75034535e-01 1.94492183e-11 2.98146563e-10 2.49654520e-02]\n  [9.64870453e-01 4.82930605e-11 1.12435439e-09 3.51295620e-02]\n  [9.64327514e-01 3.20095027e-11 1.00515773e-09 3.56724486e-02]]\n\n ...\n\n [[9.44406986e-01 3.13532922e-07 1.83032819e-06 5.55908792e-02]\n  [9.60232675e-01 1.82653129e-10 3.10786596e-09 3.97672914e-02]\n  [9.78480697e-01 1.88541565e-12 8.33744948e-11 2.15193145e-02]\n  [9.84498918e-01 2.94532438e-13 1.81766737e-11 1.55010652e-02]\n  [9.88077044e-01 5.37494650e-14 4.36241841e-12 1.19229620e-02]]\n\n [[9.36791062e-01 1.04417211e-06 5.22309665e-06 6.32026792e-02]\n  [9.55986679e-01 1.37840639e-09 1.45639349e-08 4.40133326e-02]\n  [9.73213971e-01 3.85633817e-11 8.36981928e-10 2.67860778e-02]\n  [9.77846265e-01 1.00164651e-11 3.10968390e-10 2.21537203e-02]\n  [9.81812298e-01 2.74997473e-12 1.15880826e-10 1.81876943e-02]]\n\n [[9.10727978e-01 3.98678494e-05 1.49583080e-04 8.90825614e-02]\n  [9.59157050e-01 4.61743241e-07 2.37004065e-06 4.08400781e-02]\n  [9.75225866e-01 5.82531854e-08 3.89296986e-07 2.47736443e-02]\n  [9.77615654e-01 3.22210134e-08 2.48725200e-07 2.23841611e-02]\n  [9.79904890e-01 1.76180599e-08 1.56210433e-07 2.00949833e-02]]]\nPredicted mask after argmax for 2008_000552: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000552 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000552. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000552.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000552: (1, 256, 256, 4)\nSome predicted mask values: [[[9.34460282e-01 3.63496038e-05 6.32129377e-05 6.54402673e-02]\n  [9.54178631e-01 6.18869819e-07 1.05605136e-06 4.58197966e-02]\n  [9.58675802e-01 1.76563248e-07 4.59112073e-07 4.13235463e-02]\n  [9.54774320e-01 2.09424044e-07 6.86343753e-07 4.52247411e-02]\n  [9.52227950e-01 1.83702824e-07 6.91461480e-07 4.77712080e-02]]\n\n [[9.71845388e-01 1.61386723e-07 5.05106300e-07 2.81539671e-02]\n  [9.68122005e-01 7.68463182e-10 2.58646238e-09 3.18779312e-02]\n  [9.61684108e-01 2.69716804e-10 1.71885528e-09 3.83158773e-02]\n  [9.54515874e-01 5.65968550e-10 5.23183097e-09 4.54841070e-02]\n  [9.52280343e-01 4.78390827e-10 5.85712279e-09 4.77196313e-02]]\n\n [[9.85494971e-01 1.32362885e-08 5.96607705e-08 1.45049561e-02]\n  [9.81941342e-01 4.47592761e-11 2.58558258e-10 1.80586576e-02]\n  [9.75034535e-01 1.94492183e-11 2.98146563e-10 2.49654520e-02]\n  [9.64870453e-01 4.82930605e-11 1.12435439e-09 3.51295620e-02]\n  [9.64327514e-01 3.20095027e-11 1.00515773e-09 3.56724486e-02]]\n\n ...\n\n [[9.44406986e-01 3.13532922e-07 1.83032819e-06 5.55908792e-02]\n  [9.60232675e-01 1.82653129e-10 3.10786596e-09 3.97672914e-02]\n  [9.78480697e-01 1.88541565e-12 8.33744948e-11 2.15193145e-02]\n  [9.84498918e-01 2.94532438e-13 1.81766737e-11 1.55010652e-02]\n  [9.88077044e-01 5.37494650e-14 4.36241841e-12 1.19229620e-02]]\n\n [[9.36791062e-01 1.04417211e-06 5.22309665e-06 6.32026792e-02]\n  [9.55986679e-01 1.37840639e-09 1.45639349e-08 4.40133326e-02]\n  [9.73213971e-01 3.85633817e-11 8.36981928e-10 2.67860778e-02]\n  [9.77846265e-01 1.00164651e-11 3.10968390e-10 2.21537203e-02]\n  [9.81812298e-01 2.74997473e-12 1.15880826e-10 1.81876943e-02]]\n\n [[9.10727978e-01 3.98678494e-05 1.49583080e-04 8.90825614e-02]\n  [9.59157050e-01 4.61743241e-07 2.37004065e-06 4.08400781e-02]\n  [9.75225866e-01 5.82531854e-08 3.89296986e-07 2.47736443e-02]\n  [9.77615654e-01 3.22210134e-08 2.48725200e-07 2.23841611e-02]\n  [9.79904890e-01 1.76180599e-08 1.56210433e-07 2.00949833e-02]]]\nPredicted mask after argmax for 2008_000552: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000552 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000552. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000552.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000552: (1, 256, 256, 4)\nSome predicted mask values: [[[9.34460282e-01 3.63496038e-05 6.32129377e-05 6.54402673e-02]\n  [9.54178631e-01 6.18869819e-07 1.05605136e-06 4.58197966e-02]\n  [9.58675802e-01 1.76563248e-07 4.59112073e-07 4.13235463e-02]\n  [9.54774320e-01 2.09424044e-07 6.86343753e-07 4.52247411e-02]\n  [9.52227950e-01 1.83702824e-07 6.91461480e-07 4.77712080e-02]]\n\n [[9.71845388e-01 1.61386723e-07 5.05106300e-07 2.81539671e-02]\n  [9.68122005e-01 7.68463182e-10 2.58646238e-09 3.18779312e-02]\n  [9.61684108e-01 2.69716804e-10 1.71885528e-09 3.83158773e-02]\n  [9.54515874e-01 5.65968550e-10 5.23183097e-09 4.54841070e-02]\n  [9.52280343e-01 4.78390827e-10 5.85712279e-09 4.77196313e-02]]\n\n [[9.85494971e-01 1.32362885e-08 5.96607705e-08 1.45049561e-02]\n  [9.81941342e-01 4.47592761e-11 2.58558258e-10 1.80586576e-02]\n  [9.75034535e-01 1.94492183e-11 2.98146563e-10 2.49654520e-02]\n  [9.64870453e-01 4.82930605e-11 1.12435439e-09 3.51295620e-02]\n  [9.64327514e-01 3.20095027e-11 1.00515773e-09 3.56724486e-02]]\n\n ...\n\n [[9.44406986e-01 3.13532922e-07 1.83032819e-06 5.55908792e-02]\n  [9.60232675e-01 1.82653129e-10 3.10786596e-09 3.97672914e-02]\n  [9.78480697e-01 1.88541565e-12 8.33744948e-11 2.15193145e-02]\n  [9.84498918e-01 2.94532438e-13 1.81766737e-11 1.55010652e-02]\n  [9.88077044e-01 5.37494650e-14 4.36241841e-12 1.19229620e-02]]\n\n [[9.36791062e-01 1.04417211e-06 5.22309665e-06 6.32026792e-02]\n  [9.55986679e-01 1.37840639e-09 1.45639349e-08 4.40133326e-02]\n  [9.73213971e-01 3.85633817e-11 8.36981928e-10 2.67860778e-02]\n  [9.77846265e-01 1.00164651e-11 3.10968390e-10 2.21537203e-02]\n  [9.81812298e-01 2.74997473e-12 1.15880826e-10 1.81876943e-02]]\n\n [[9.10727978e-01 3.98678494e-05 1.49583080e-04 8.90825614e-02]\n  [9.59157050e-01 4.61743241e-07 2.37004065e-06 4.08400781e-02]\n  [9.75225866e-01 5.82531854e-08 3.89296986e-07 2.47736443e-02]\n  [9.77615654e-01 3.22210134e-08 2.48725200e-07 2.23841611e-02]\n  [9.79904890e-01 1.76180599e-08 1.56210433e-07 2.00949833e-02]]]\nPredicted mask after argmax for 2008_000552: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000552 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000552. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000552.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000552: (1, 256, 256, 4)\nSome predicted mask values: [[[9.34460282e-01 3.63496038e-05 6.32129377e-05 6.54402673e-02]\n  [9.54178631e-01 6.18869819e-07 1.05605136e-06 4.58197966e-02]\n  [9.58675802e-01 1.76563248e-07 4.59112073e-07 4.13235463e-02]\n  [9.54774320e-01 2.09424044e-07 6.86343753e-07 4.52247411e-02]\n  [9.52227950e-01 1.83702824e-07 6.91461480e-07 4.77712080e-02]]\n\n [[9.71845388e-01 1.61386723e-07 5.05106300e-07 2.81539671e-02]\n  [9.68122005e-01 7.68463182e-10 2.58646238e-09 3.18779312e-02]\n  [9.61684108e-01 2.69716804e-10 1.71885528e-09 3.83158773e-02]\n  [9.54515874e-01 5.65968550e-10 5.23183097e-09 4.54841070e-02]\n  [9.52280343e-01 4.78390827e-10 5.85712279e-09 4.77196313e-02]]\n\n [[9.85494971e-01 1.32362885e-08 5.96607705e-08 1.45049561e-02]\n  [9.81941342e-01 4.47592761e-11 2.58558258e-10 1.80586576e-02]\n  [9.75034535e-01 1.94492183e-11 2.98146563e-10 2.49654520e-02]\n  [9.64870453e-01 4.82930605e-11 1.12435439e-09 3.51295620e-02]\n  [9.64327514e-01 3.20095027e-11 1.00515773e-09 3.56724486e-02]]\n\n ...\n\n [[9.44406986e-01 3.13532922e-07 1.83032819e-06 5.55908792e-02]\n  [9.60232675e-01 1.82653129e-10 3.10786596e-09 3.97672914e-02]\n  [9.78480697e-01 1.88541565e-12 8.33744948e-11 2.15193145e-02]\n  [9.84498918e-01 2.94532438e-13 1.81766737e-11 1.55010652e-02]\n  [9.88077044e-01 5.37494650e-14 4.36241841e-12 1.19229620e-02]]\n\n [[9.36791062e-01 1.04417211e-06 5.22309665e-06 6.32026792e-02]\n  [9.55986679e-01 1.37840639e-09 1.45639349e-08 4.40133326e-02]\n  [9.73213971e-01 3.85633817e-11 8.36981928e-10 2.67860778e-02]\n  [9.77846265e-01 1.00164651e-11 3.10968390e-10 2.21537203e-02]\n  [9.81812298e-01 2.74997473e-12 1.15880826e-10 1.81876943e-02]]\n\n [[9.10727978e-01 3.98678494e-05 1.49583080e-04 8.90825614e-02]\n  [9.59157050e-01 4.61743241e-07 2.37004065e-06 4.08400781e-02]\n  [9.75225866e-01 5.82531854e-08 3.89296986e-07 2.47736443e-02]\n  [9.77615654e-01 3.22210134e-08 2.48725200e-07 2.23841611e-02]\n  [9.79904890e-01 1.76180599e-08 1.56210433e-07 2.00949833e-02]]]\nPredicted mask after argmax for 2008_000552: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000552 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000552. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000559.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000559: (1, 256, 256, 4)\nSome predicted mask values: [[[9.11236882e-01 1.21653080e-04 1.98568494e-04 8.84429365e-02]\n  [9.36893165e-01 2.78269977e-06 4.82559426e-06 6.30991980e-02]\n  [9.44216788e-01 7.59072066e-07 1.92690163e-06 5.57804815e-02]\n  [9.42009509e-01 7.46897513e-07 2.29179454e-06 5.79873882e-02]\n  [9.40606236e-01 6.11558733e-07 2.09494124e-06 5.93910404e-02]]\n\n [[9.57145929e-01 1.03026150e-06 2.89555533e-06 4.28501517e-02]\n  [9.54378724e-01 7.26587679e-09 2.33902924e-08 4.56213318e-02]\n  [9.50181901e-01 2.09844520e-09 1.21147288e-08 4.98180762e-02]\n  [9.44528162e-01 3.11275672e-09 2.47002419e-08 5.54718524e-02]\n  [9.43203092e-01 2.40814724e-09 2.42518503e-08 5.67968339e-02]]\n\n [[9.75090623e-01 1.24098008e-07 4.87540319e-07 2.49088593e-02]\n  [9.71068680e-01 6.47838727e-10 3.39561734e-09 2.89313458e-02]\n  [9.64179635e-01 2.28881566e-10 2.80689072e-09 3.58203202e-02]\n  [9.55476284e-01 3.78131360e-10 6.69452760e-09 4.45236787e-02]\n  [9.55441236e-01 2.46435539e-10 5.59525581e-09 4.45587337e-02]]\n\n ...\n\n [[8.93361688e-01 3.70285088e-05 1.08577391e-04 1.06492639e-01]\n  [8.93204331e-01 7.70626343e-07 3.92082939e-06 1.06790982e-01]\n  [9.01102006e-01 2.65068763e-07 1.90578339e-06 9.88959000e-02]\n  [9.01649535e-01 3.53199738e-07 2.84975226e-06 9.83472690e-02]\n  [8.99851978e-01 4.29719847e-07 3.40450447e-06 1.00144148e-01]]\n\n [[8.87816727e-01 5.69242911e-05 1.61765391e-04 1.11964636e-01]\n  [8.95132244e-01 1.45950878e-06 6.33214313e-06 1.04860000e-01]\n  [9.06041563e-01 6.16999159e-07 3.60328090e-06 9.39542428e-02]\n  [9.00514841e-01 8.74907983e-07 5.44622844e-06 9.94788706e-02]\n  [8.95368576e-01 1.01466946e-06 6.61529020e-06 1.04623750e-01]]\n\n [[8.52892399e-01 5.97521488e-04 1.42416568e-03 1.45085961e-01]\n  [9.03345585e-01 4.82649739e-05 1.34043657e-04 9.64721590e-02]\n  [9.15271580e-01 3.41449486e-05 1.02000799e-04 8.45922679e-02]\n  [9.10244942e-01 4.68241633e-05 1.43524958e-04 8.95645842e-02]\n  [9.03536797e-01 5.46060073e-05 1.68481056e-04 9.62401703e-02]]]\nPredicted mask after argmax for 2008_000559: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000559 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000559. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000559.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\nPredicted mask shape for 2008_000559: (1, 256, 256, 4)\nSome predicted mask values: [[[9.11236882e-01 1.21653080e-04 1.98568494e-04 8.84429365e-02]\n  [9.36893165e-01 2.78269977e-06 4.82559426e-06 6.30991980e-02]\n  [9.44216788e-01 7.59072066e-07 1.92690163e-06 5.57804815e-02]\n  [9.42009509e-01 7.46897513e-07 2.29179454e-06 5.79873882e-02]\n  [9.40606236e-01 6.11558733e-07 2.09494124e-06 5.93910404e-02]]\n\n [[9.57145929e-01 1.03026150e-06 2.89555533e-06 4.28501517e-02]\n  [9.54378724e-01 7.26587679e-09 2.33902924e-08 4.56213318e-02]\n  [9.50181901e-01 2.09844520e-09 1.21147288e-08 4.98180762e-02]\n  [9.44528162e-01 3.11275672e-09 2.47002419e-08 5.54718524e-02]\n  [9.43203092e-01 2.40814724e-09 2.42518503e-08 5.67968339e-02]]\n\n [[9.75090623e-01 1.24098008e-07 4.87540319e-07 2.49088593e-02]\n  [9.71068680e-01 6.47838727e-10 3.39561734e-09 2.89313458e-02]\n  [9.64179635e-01 2.28881566e-10 2.80689072e-09 3.58203202e-02]\n  [9.55476284e-01 3.78131360e-10 6.69452760e-09 4.45236787e-02]\n  [9.55441236e-01 2.46435539e-10 5.59525581e-09 4.45587337e-02]]\n\n ...\n\n [[8.93361688e-01 3.70285088e-05 1.08577391e-04 1.06492639e-01]\n  [8.93204331e-01 7.70626343e-07 3.92082939e-06 1.06790982e-01]\n  [9.01102006e-01 2.65068763e-07 1.90578339e-06 9.88959000e-02]\n  [9.01649535e-01 3.53199738e-07 2.84975226e-06 9.83472690e-02]\n  [8.99851978e-01 4.29719847e-07 3.40450447e-06 1.00144148e-01]]\n\n [[8.87816727e-01 5.69242911e-05 1.61765391e-04 1.11964636e-01]\n  [8.95132244e-01 1.45950878e-06 6.33214313e-06 1.04860000e-01]\n  [9.06041563e-01 6.16999159e-07 3.60328090e-06 9.39542428e-02]\n  [9.00514841e-01 8.74907983e-07 5.44622844e-06 9.94788706e-02]\n  [8.95368576e-01 1.01466946e-06 6.61529020e-06 1.04623750e-01]]\n\n [[8.52892399e-01 5.97521488e-04 1.42416568e-03 1.45085961e-01]\n  [9.03345585e-01 4.82649739e-05 1.34043657e-04 9.64721590e-02]\n  [9.15271580e-01 3.41449486e-05 1.02000799e-04 8.45922679e-02]\n  [9.10244942e-01 4.68241633e-05 1.43524958e-04 8.95645842e-02]\n  [9.03536797e-01 5.46060073e-05 1.68481056e-04 9.62401703e-02]]]\nPredicted mask after argmax for 2008_000559: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000559 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000559. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000581.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000581: (1, 256, 256, 4)\nSome predicted mask values: [[[9.46174741e-01 1.75990626e-05 3.15073012e-05 5.37762456e-02]\n  [9.64461863e-01 2.17474266e-07 3.56843003e-07 3.55375707e-02]\n  [9.69348371e-01 4.83202776e-08 1.25458115e-07 3.06515023e-02]\n  [9.67141926e-01 4.57326017e-08 1.56930582e-07 3.28579955e-02]\n  [9.66368616e-01 3.29136149e-08 1.32855831e-07 3.36312726e-02]]\n\n [[9.78171945e-01 5.58515261e-08 1.84214343e-07 2.18277816e-02]\n  [9.75118876e-01 1.77148837e-10 6.07137951e-10 2.48811785e-02]\n  [9.69048798e-01 5.52228784e-11 3.63543445e-10 3.09511647e-02]\n  [9.63375330e-01 1.01202893e-10 1.02278386e-09 3.66246141e-02]\n  [9.61838603e-01 7.19795126e-11 9.98694905e-10 3.81613821e-02]]\n\n [[9.89536405e-01 3.56153196e-09 1.72868564e-08 1.04636243e-02]\n  [9.86680388e-01 8.73064034e-12 5.34472917e-11 1.33195566e-02]\n  [9.80337858e-01 4.01508904e-12 6.96532484e-11 1.96621735e-02]\n  [9.69974816e-01 1.13150505e-11 3.14343385e-10 3.00251655e-02]\n  [9.69435036e-01 6.85737881e-12 2.65597405e-10 3.05649359e-02]]\n\n ...\n\n [[9.01427448e-01 2.36030755e-05 7.54169814e-05 9.84735116e-02]\n  [9.06164646e-01 4.36706927e-07 2.36387041e-06 9.38325897e-02]\n  [9.07417953e-01 1.94343158e-07 1.46665536e-06 9.25802886e-02]\n  [9.06748712e-01 3.15273667e-07 2.57870988e-06 9.32484120e-02]\n  [9.02940392e-01 4.50587692e-07 3.54747408e-06 9.70555618e-02]]\n\n [[8.86750281e-01 5.60690060e-05 1.69487248e-04 1.13024272e-01]\n  [8.97014499e-01 1.39539384e-06 6.38950223e-06 1.02977715e-01]\n  [9.05344784e-01 6.60914282e-07 4.01162151e-06 9.46505293e-02]\n  [8.98654401e-01 9.90477815e-07 6.36998584e-06 1.01338357e-01]\n  [8.94316375e-01 1.27084331e-06 8.53915753e-06 1.05673842e-01]]\n\n [[8.42978060e-01 7.75948865e-04 1.87557703e-03 1.54370427e-01]\n  [8.90311420e-01 7.24571437e-05 2.01023155e-04 1.09415017e-01]\n  [9.02270496e-01 5.23261842e-05 1.61376563e-04 9.75159109e-02]\n  [8.93786788e-01 7.30599349e-05 2.28861521e-04 1.05911233e-01]\n  [8.84420931e-01 9.04721892e-05 2.84606154e-04 1.15204066e-01]]]\nPredicted mask after argmax for 2008_000581: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000581 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000581. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000581.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000581: (1, 256, 256, 4)\nSome predicted mask values: [[[9.46174741e-01 1.75990626e-05 3.15073012e-05 5.37762456e-02]\n  [9.64461863e-01 2.17474266e-07 3.56843003e-07 3.55375707e-02]\n  [9.69348371e-01 4.83202776e-08 1.25458115e-07 3.06515023e-02]\n  [9.67141926e-01 4.57326017e-08 1.56930582e-07 3.28579955e-02]\n  [9.66368616e-01 3.29136149e-08 1.32855831e-07 3.36312726e-02]]\n\n [[9.78171945e-01 5.58515261e-08 1.84214343e-07 2.18277816e-02]\n  [9.75118876e-01 1.77148837e-10 6.07137951e-10 2.48811785e-02]\n  [9.69048798e-01 5.52228784e-11 3.63543445e-10 3.09511647e-02]\n  [9.63375330e-01 1.01202893e-10 1.02278386e-09 3.66246141e-02]\n  [9.61838603e-01 7.19795126e-11 9.98694905e-10 3.81613821e-02]]\n\n [[9.89536405e-01 3.56153196e-09 1.72868564e-08 1.04636243e-02]\n  [9.86680388e-01 8.73064034e-12 5.34472917e-11 1.33195566e-02]\n  [9.80337858e-01 4.01508904e-12 6.96532484e-11 1.96621735e-02]\n  [9.69974816e-01 1.13150505e-11 3.14343385e-10 3.00251655e-02]\n  [9.69435036e-01 6.85737881e-12 2.65597405e-10 3.05649359e-02]]\n\n ...\n\n [[9.01427448e-01 2.36030755e-05 7.54169814e-05 9.84735116e-02]\n  [9.06164646e-01 4.36706927e-07 2.36387041e-06 9.38325897e-02]\n  [9.07417953e-01 1.94343158e-07 1.46665536e-06 9.25802886e-02]\n  [9.06748712e-01 3.15273667e-07 2.57870988e-06 9.32484120e-02]\n  [9.02940392e-01 4.50587692e-07 3.54747408e-06 9.70555618e-02]]\n\n [[8.86750281e-01 5.60690060e-05 1.69487248e-04 1.13024272e-01]\n  [8.97014499e-01 1.39539384e-06 6.38950223e-06 1.02977715e-01]\n  [9.05344784e-01 6.60914282e-07 4.01162151e-06 9.46505293e-02]\n  [8.98654401e-01 9.90477815e-07 6.36998584e-06 1.01338357e-01]\n  [8.94316375e-01 1.27084331e-06 8.53915753e-06 1.05673842e-01]]\n\n [[8.42978060e-01 7.75948865e-04 1.87557703e-03 1.54370427e-01]\n  [8.90311420e-01 7.24571437e-05 2.01023155e-04 1.09415017e-01]\n  [9.02270496e-01 5.23261842e-05 1.61376563e-04 9.75159109e-02]\n  [8.93786788e-01 7.30599349e-05 2.28861521e-04 1.05911233e-01]\n  [8.84420931e-01 9.04721892e-05 2.84606154e-04 1.15204066e-01]]]\nPredicted mask after argmax for 2008_000581: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000581 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000581. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000581.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000581: (1, 256, 256, 4)\nSome predicted mask values: [[[9.46174741e-01 1.75990626e-05 3.15073012e-05 5.37762456e-02]\n  [9.64461863e-01 2.17474266e-07 3.56843003e-07 3.55375707e-02]\n  [9.69348371e-01 4.83202776e-08 1.25458115e-07 3.06515023e-02]\n  [9.67141926e-01 4.57326017e-08 1.56930582e-07 3.28579955e-02]\n  [9.66368616e-01 3.29136149e-08 1.32855831e-07 3.36312726e-02]]\n\n [[9.78171945e-01 5.58515261e-08 1.84214343e-07 2.18277816e-02]\n  [9.75118876e-01 1.77148837e-10 6.07137951e-10 2.48811785e-02]\n  [9.69048798e-01 5.52228784e-11 3.63543445e-10 3.09511647e-02]\n  [9.63375330e-01 1.01202893e-10 1.02278386e-09 3.66246141e-02]\n  [9.61838603e-01 7.19795126e-11 9.98694905e-10 3.81613821e-02]]\n\n [[9.89536405e-01 3.56153196e-09 1.72868564e-08 1.04636243e-02]\n  [9.86680388e-01 8.73064034e-12 5.34472917e-11 1.33195566e-02]\n  [9.80337858e-01 4.01508904e-12 6.96532484e-11 1.96621735e-02]\n  [9.69974816e-01 1.13150505e-11 3.14343385e-10 3.00251655e-02]\n  [9.69435036e-01 6.85737881e-12 2.65597405e-10 3.05649359e-02]]\n\n ...\n\n [[9.01427448e-01 2.36030755e-05 7.54169814e-05 9.84735116e-02]\n  [9.06164646e-01 4.36706927e-07 2.36387041e-06 9.38325897e-02]\n  [9.07417953e-01 1.94343158e-07 1.46665536e-06 9.25802886e-02]\n  [9.06748712e-01 3.15273667e-07 2.57870988e-06 9.32484120e-02]\n  [9.02940392e-01 4.50587692e-07 3.54747408e-06 9.70555618e-02]]\n\n [[8.86750281e-01 5.60690060e-05 1.69487248e-04 1.13024272e-01]\n  [8.97014499e-01 1.39539384e-06 6.38950223e-06 1.02977715e-01]\n  [9.05344784e-01 6.60914282e-07 4.01162151e-06 9.46505293e-02]\n  [8.98654401e-01 9.90477815e-07 6.36998584e-06 1.01338357e-01]\n  [8.94316375e-01 1.27084331e-06 8.53915753e-06 1.05673842e-01]]\n\n [[8.42978060e-01 7.75948865e-04 1.87557703e-03 1.54370427e-01]\n  [8.90311420e-01 7.24571437e-05 2.01023155e-04 1.09415017e-01]\n  [9.02270496e-01 5.23261842e-05 1.61376563e-04 9.75159109e-02]\n  [8.93786788e-01 7.30599349e-05 2.28861521e-04 1.05911233e-01]\n  [8.84420931e-01 9.04721892e-05 2.84606154e-04 1.15204066e-01]]]\nPredicted mask after argmax for 2008_000581: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000581 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000581. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000602.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000602: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68718171e-01 1.09952748e-06 2.40933559e-06 3.12783122e-02]\n  [9.84447062e-01 1.89860550e-09 4.86268759e-09 1.55529920e-02]\n  [9.88706350e-01 1.64036063e-10 7.01354086e-10 1.12936851e-02]\n  [9.88741815e-01 1.38436262e-10 7.38532679e-10 1.12581458e-02]\n  [9.88630891e-01 1.03468074e-10 6.35382635e-10 1.13691464e-02]]\n\n [[9.88500476e-01 1.00952191e-09 4.97865127e-09 1.14994561e-02]\n  [9.89109755e-01 3.03961771e-13 1.96165350e-12 1.08902864e-02]\n  [9.88783181e-01 2.72115145e-14 3.88722501e-13 1.12168686e-02]\n  [9.87400591e-01 4.20563513e-14 8.91286665e-13 1.25994273e-02]\n  [9.86696064e-01 3.26042870e-14 9.36670012e-13 1.33039113e-02]]\n\n [[9.94735897e-01 6.27157146e-11 5.20787302e-10 5.26410481e-03]\n  [9.94318843e-01 1.28513584e-14 1.82475739e-13 5.68109145e-03]\n  [9.92755949e-01 1.61846185e-15 7.42452229e-14 7.24402303e-03]\n  [9.90362644e-01 3.41442666e-15 2.61976286e-13 9.63734277e-03]\n  [9.90083277e-01 2.33345231e-15 2.41629010e-13 9.91676003e-03]]\n\n ...\n\n [[9.40303326e-01 1.01076932e-06 4.50760535e-06 5.96911311e-02]\n  [9.45660830e-01 3.61185526e-09 3.67719828e-08 5.43392077e-02]\n  [9.52258646e-01 6.12595197e-10 1.04189706e-08 4.77413572e-02]\n  [9.54428136e-01 7.33229533e-10 1.43306123e-08 4.55718823e-02]\n  [9.54511523e-01 7.50963847e-10 1.48235726e-08 4.54884544e-02]]\n\n [[9.35399115e-01 1.91274489e-06 8.10464735e-06 6.45907819e-02]\n  [9.46607769e-01 8.84358720e-09 7.08095484e-08 5.33921719e-02]\n  [9.54542816e-01 1.88071381e-09 2.28761525e-08 4.54572029e-02]\n  [9.53140795e-01 2.31546471e-09 3.22578622e-08 4.68592048e-02]\n  [9.52161968e-01 2.31851072e-09 3.59882577e-08 4.78380024e-02]]\n\n [[9.07433867e-01 5.07175100e-05 1.66947502e-04 9.23484638e-02]\n  [9.50648844e-01 1.20562731e-06 4.93866628e-06 4.93449010e-02]\n  [9.61805880e-01 5.19826472e-07 2.45601700e-06 3.81911732e-02]\n  [9.59722281e-01 6.82283883e-07 3.39043163e-06 4.02736105e-02]\n  [9.56150949e-01 7.67165545e-07 3.91817321e-06 4.38443124e-02]]]\nPredicted mask after argmax for 2008_000602: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000602 has shape: (500, 325)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000602. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000602.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000602: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68718171e-01 1.09952748e-06 2.40933559e-06 3.12783122e-02]\n  [9.84447062e-01 1.89860550e-09 4.86268759e-09 1.55529920e-02]\n  [9.88706350e-01 1.64036063e-10 7.01354086e-10 1.12936851e-02]\n  [9.88741815e-01 1.38436262e-10 7.38532679e-10 1.12581458e-02]\n  [9.88630891e-01 1.03468074e-10 6.35382635e-10 1.13691464e-02]]\n\n [[9.88500476e-01 1.00952191e-09 4.97865127e-09 1.14994561e-02]\n  [9.89109755e-01 3.03961771e-13 1.96165350e-12 1.08902864e-02]\n  [9.88783181e-01 2.72115145e-14 3.88722501e-13 1.12168686e-02]\n  [9.87400591e-01 4.20563513e-14 8.91286665e-13 1.25994273e-02]\n  [9.86696064e-01 3.26042870e-14 9.36670012e-13 1.33039113e-02]]\n\n [[9.94735897e-01 6.27157146e-11 5.20787302e-10 5.26410481e-03]\n  [9.94318843e-01 1.28513584e-14 1.82475739e-13 5.68109145e-03]\n  [9.92755949e-01 1.61846185e-15 7.42452229e-14 7.24402303e-03]\n  [9.90362644e-01 3.41442666e-15 2.61976286e-13 9.63734277e-03]\n  [9.90083277e-01 2.33345231e-15 2.41629010e-13 9.91676003e-03]]\n\n ...\n\n [[9.40303326e-01 1.01076932e-06 4.50760535e-06 5.96911311e-02]\n  [9.45660830e-01 3.61185526e-09 3.67719828e-08 5.43392077e-02]\n  [9.52258646e-01 6.12595197e-10 1.04189706e-08 4.77413572e-02]\n  [9.54428136e-01 7.33229533e-10 1.43306123e-08 4.55718823e-02]\n  [9.54511523e-01 7.50963847e-10 1.48235726e-08 4.54884544e-02]]\n\n [[9.35399115e-01 1.91274489e-06 8.10464735e-06 6.45907819e-02]\n  [9.46607769e-01 8.84358720e-09 7.08095484e-08 5.33921719e-02]\n  [9.54542816e-01 1.88071381e-09 2.28761525e-08 4.54572029e-02]\n  [9.53140795e-01 2.31546471e-09 3.22578622e-08 4.68592048e-02]\n  [9.52161968e-01 2.31851072e-09 3.59882577e-08 4.78380024e-02]]\n\n [[9.07433867e-01 5.07175100e-05 1.66947502e-04 9.23484638e-02]\n  [9.50648844e-01 1.20562731e-06 4.93866628e-06 4.93449010e-02]\n  [9.61805880e-01 5.19826472e-07 2.45601700e-06 3.81911732e-02]\n  [9.59722281e-01 6.82283883e-07 3.39043163e-06 4.02736105e-02]\n  [9.56150949e-01 7.67165545e-07 3.91817321e-06 4.38443124e-02]]]\nPredicted mask after argmax for 2008_000602: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000602 has shape: (500, 325)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000602. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000619.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000619: (1, 256, 256, 4)\nSome predicted mask values: [[[9.64469969e-01 2.93353719e-06 5.79171092e-06 3.55213173e-02]\n  [9.78979468e-01 1.51021720e-08 2.77417787e-08 2.10205149e-02]\n  [9.82809842e-01 1.99225170e-09 6.45957599e-09 1.71902068e-02]\n  [9.82448876e-01 1.34458511e-09 6.06518302e-09 1.75511967e-02]\n  [9.84442532e-01 4.70349037e-10 2.60558375e-09 1.55575024e-02]]\n\n [[9.88167703e-01 3.00673575e-09 1.22072672e-08 1.18323015e-02]\n  [9.87077475e-01 2.65910145e-12 1.15347150e-11 1.29225161e-02]\n  [9.84253347e-01 4.20673072e-13 4.29331267e-12 1.57466400e-02]\n  [9.81625497e-01 5.69428348e-13 9.82187508e-12 1.83745883e-02]\n  [9.82132673e-01 1.87378176e-13 4.89771591e-12 1.78673733e-02]]\n\n [[9.95429039e-01 7.83898155e-11 5.36261480e-10 4.57097311e-03]\n  [9.94256616e-01 4.01104659e-14 3.69913518e-13 5.74328983e-03]\n  [9.91385698e-01 8.56913502e-15 2.98735998e-13 8.61430168e-03]\n  [9.86999214e-01 1.88457834e-14 1.22929856e-12 1.30007863e-02]\n  [9.87363756e-01 6.43041791e-15 6.66195181e-13 1.26361940e-02]]\n\n ...\n\n [[9.28261280e-01 4.61824447e-06 1.79118852e-05 7.17161372e-02]\n  [9.20889378e-01 7.04406631e-08 4.55737165e-07 7.91100338e-02]\n  [9.26429808e-01 2.83991017e-08 2.84662008e-07 7.35699013e-02]\n  [9.22845006e-01 5.05761406e-08 5.63361368e-07 7.71543607e-02]\n  [9.22194421e-01 5.43401519e-08 6.14889927e-07 7.78048933e-02]]\n\n [[9.09784794e-01 1.68127863e-05 5.82128341e-05 9.01401266e-02]\n  [9.11469460e-01 3.53367000e-07 1.83263819e-06 8.85284021e-02]\n  [9.24776852e-01 1.37255483e-07 1.03567015e-06 7.52221122e-02]\n  [9.17250097e-01 1.95880787e-07 1.60432933e-06 8.27480629e-02]\n  [9.14708436e-01 1.79667254e-07 1.62731305e-06 8.52896795e-02]]\n\n [[8.70943546e-01 3.34248383e-04 8.97767430e-04 1.27824455e-01]\n  [9.17196631e-01 2.44955372e-05 7.69695835e-05 8.27019438e-02]\n  [9.27601993e-01 1.67272174e-05 5.81707609e-05 7.23231211e-02]\n  [9.22277749e-01 2.11470415e-05 7.72246349e-05 7.76238814e-02]\n  [9.16681588e-01 2.10062644e-05 7.87013705e-05 8.32188278e-02]]]\nPredicted mask after argmax for 2008_000619: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000619 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000619. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000619.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000619: (1, 256, 256, 4)\nSome predicted mask values: [[[9.64469969e-01 2.93353719e-06 5.79171092e-06 3.55213173e-02]\n  [9.78979468e-01 1.51021720e-08 2.77417787e-08 2.10205149e-02]\n  [9.82809842e-01 1.99225170e-09 6.45957599e-09 1.71902068e-02]\n  [9.82448876e-01 1.34458511e-09 6.06518302e-09 1.75511967e-02]\n  [9.84442532e-01 4.70349037e-10 2.60558375e-09 1.55575024e-02]]\n\n [[9.88167703e-01 3.00673575e-09 1.22072672e-08 1.18323015e-02]\n  [9.87077475e-01 2.65910145e-12 1.15347150e-11 1.29225161e-02]\n  [9.84253347e-01 4.20673072e-13 4.29331267e-12 1.57466400e-02]\n  [9.81625497e-01 5.69428348e-13 9.82187508e-12 1.83745883e-02]\n  [9.82132673e-01 1.87378176e-13 4.89771591e-12 1.78673733e-02]]\n\n [[9.95429039e-01 7.83898155e-11 5.36261480e-10 4.57097311e-03]\n  [9.94256616e-01 4.01104659e-14 3.69913518e-13 5.74328983e-03]\n  [9.91385698e-01 8.56913502e-15 2.98735998e-13 8.61430168e-03]\n  [9.86999214e-01 1.88457834e-14 1.22929856e-12 1.30007863e-02]\n  [9.87363756e-01 6.43041791e-15 6.66195181e-13 1.26361940e-02]]\n\n ...\n\n [[9.28261280e-01 4.61824447e-06 1.79118852e-05 7.17161372e-02]\n  [9.20889378e-01 7.04406631e-08 4.55737165e-07 7.91100338e-02]\n  [9.26429808e-01 2.83991017e-08 2.84662008e-07 7.35699013e-02]\n  [9.22845006e-01 5.05761406e-08 5.63361368e-07 7.71543607e-02]\n  [9.22194421e-01 5.43401519e-08 6.14889927e-07 7.78048933e-02]]\n\n [[9.09784794e-01 1.68127863e-05 5.82128341e-05 9.01401266e-02]\n  [9.11469460e-01 3.53367000e-07 1.83263819e-06 8.85284021e-02]\n  [9.24776852e-01 1.37255483e-07 1.03567015e-06 7.52221122e-02]\n  [9.17250097e-01 1.95880787e-07 1.60432933e-06 8.27480629e-02]\n  [9.14708436e-01 1.79667254e-07 1.62731305e-06 8.52896795e-02]]\n\n [[8.70943546e-01 3.34248383e-04 8.97767430e-04 1.27824455e-01]\n  [9.17196631e-01 2.44955372e-05 7.69695835e-05 8.27019438e-02]\n  [9.27601993e-01 1.67272174e-05 5.81707609e-05 7.23231211e-02]\n  [9.22277749e-01 2.11470415e-05 7.72246349e-05 7.76238814e-02]\n  [9.16681588e-01 2.10062644e-05 7.87013705e-05 8.32188278e-02]]]\nPredicted mask after argmax for 2008_000619: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000619 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000619. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000619.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000619: (1, 256, 256, 4)\nSome predicted mask values: [[[9.64469969e-01 2.93353719e-06 5.79171092e-06 3.55213173e-02]\n  [9.78979468e-01 1.51021720e-08 2.77417787e-08 2.10205149e-02]\n  [9.82809842e-01 1.99225170e-09 6.45957599e-09 1.71902068e-02]\n  [9.82448876e-01 1.34458511e-09 6.06518302e-09 1.75511967e-02]\n  [9.84442532e-01 4.70349037e-10 2.60558375e-09 1.55575024e-02]]\n\n [[9.88167703e-01 3.00673575e-09 1.22072672e-08 1.18323015e-02]\n  [9.87077475e-01 2.65910145e-12 1.15347150e-11 1.29225161e-02]\n  [9.84253347e-01 4.20673072e-13 4.29331267e-12 1.57466400e-02]\n  [9.81625497e-01 5.69428348e-13 9.82187508e-12 1.83745883e-02]\n  [9.82132673e-01 1.87378176e-13 4.89771591e-12 1.78673733e-02]]\n\n [[9.95429039e-01 7.83898155e-11 5.36261480e-10 4.57097311e-03]\n  [9.94256616e-01 4.01104659e-14 3.69913518e-13 5.74328983e-03]\n  [9.91385698e-01 8.56913502e-15 2.98735998e-13 8.61430168e-03]\n  [9.86999214e-01 1.88457834e-14 1.22929856e-12 1.30007863e-02]\n  [9.87363756e-01 6.43041791e-15 6.66195181e-13 1.26361940e-02]]\n\n ...\n\n [[9.28261280e-01 4.61824447e-06 1.79118852e-05 7.17161372e-02]\n  [9.20889378e-01 7.04406631e-08 4.55737165e-07 7.91100338e-02]\n  [9.26429808e-01 2.83991017e-08 2.84662008e-07 7.35699013e-02]\n  [9.22845006e-01 5.05761406e-08 5.63361368e-07 7.71543607e-02]\n  [9.22194421e-01 5.43401519e-08 6.14889927e-07 7.78048933e-02]]\n\n [[9.09784794e-01 1.68127863e-05 5.82128341e-05 9.01401266e-02]\n  [9.11469460e-01 3.53367000e-07 1.83263819e-06 8.85284021e-02]\n  [9.24776852e-01 1.37255483e-07 1.03567015e-06 7.52221122e-02]\n  [9.17250097e-01 1.95880787e-07 1.60432933e-06 8.27480629e-02]\n  [9.14708436e-01 1.79667254e-07 1.62731305e-06 8.52896795e-02]]\n\n [[8.70943546e-01 3.34248383e-04 8.97767430e-04 1.27824455e-01]\n  [9.17196631e-01 2.44955372e-05 7.69695835e-05 8.27019438e-02]\n  [9.27601993e-01 1.67272174e-05 5.81707609e-05 7.23231211e-02]\n  [9.22277749e-01 2.11470415e-05 7.72246349e-05 7.76238814e-02]\n  [9.16681588e-01 2.10062644e-05 7.87013705e-05 8.32188278e-02]]]\nPredicted mask after argmax for 2008_000619: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000619 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000619. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000620.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000620: (1, 256, 256, 4)\nSome predicted mask values: [[[9.95457709e-01 4.39400349e-10 1.60917979e-09 4.54228045e-03]\n  [9.99110520e-01 6.94475834e-15 2.73369143e-14 8.89508578e-04]\n  [9.99631643e-01 3.81253963e-17 2.45276972e-16 3.68393637e-04]\n  [9.99730885e-01 8.99244339e-18 7.50238787e-17 2.69089418e-04]\n  [9.99757946e-01 5.03526925e-18 4.56242286e-17 2.42034977e-04]]\n\n [[9.98445094e-01 3.36759836e-14 3.60482667e-13 1.55496458e-03]\n  [9.99081254e-01 3.64013333e-20 5.63967244e-19 9.18778707e-04]\n  [9.99179542e-01 2.21721714e-22 7.25086815e-21 8.20446759e-04]\n  [9.99206543e-01 1.41811834e-22 7.52580392e-21 7.93432351e-04]\n  [9.99107540e-01 9.67467597e-23 7.32613512e-21 8.92446726e-04]]\n\n [[9.99437869e-01 1.87296688e-15 4.27045416e-14 5.62167144e-04]\n  [9.99599814e-01 2.18766371e-21 1.11934688e-19 4.00168326e-04]\n  [9.99517083e-01 2.51299577e-23 5.86576512e-21 4.82937001e-04]\n  [9.99359190e-01 2.05239835e-23 1.04535297e-20 6.40828919e-04]\n  [9.99279499e-01 1.06465283e-23 8.95199577e-21 7.20501819e-04]]\n\n ...\n\n [[9.92475450e-01 4.88996257e-12 1.01165923e-10 7.52457697e-03]\n  [9.97313201e-01 2.83292733e-18 3.21509355e-16 2.68678786e-03]\n  [9.99112546e-01 4.15633746e-22 3.22643556e-19 8.87477188e-04]\n  [9.99527514e-01 6.19456852e-24 1.04482734e-20 4.72440850e-04]\n  [9.99708235e-01 4.64035397e-25 1.19615285e-21 2.91700533e-04]]\n\n [[9.87629235e-01 1.28061603e-10 1.87306393e-09 1.23707633e-02]\n  [9.95133579e-01 5.26706051e-16 2.61141833e-14 4.86641936e-03]\n  [9.98310328e-01 3.72511742e-19 7.62493103e-17 1.68963487e-03]\n  [9.98789787e-01 1.42223512e-20 6.58695006e-18 1.21013308e-03]\n  [9.99191105e-01 1.45816453e-21 1.14871843e-18 8.08923505e-04]]\n\n [[9.72631037e-01 1.31386088e-07 1.11545114e-06 2.73676906e-02]\n  [9.92871583e-01 4.47726613e-11 6.58263388e-10 7.12842448e-03]\n  [9.97265100e-01 5.92562837e-13 1.48597454e-11 2.73487857e-03]\n  [9.97850657e-01 1.24020857e-13 4.42755641e-12 2.14934815e-03]\n  [9.98326123e-01 4.20831006e-14 2.01483968e-12 1.67390681e-03]]]\nPredicted mask after argmax for 2008_000620: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000620 has shape: (337, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000620. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000620.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000620: (1, 256, 256, 4)\nSome predicted mask values: [[[9.95457709e-01 4.39400349e-10 1.60917979e-09 4.54228045e-03]\n  [9.99110520e-01 6.94475834e-15 2.73369143e-14 8.89508578e-04]\n  [9.99631643e-01 3.81253963e-17 2.45276972e-16 3.68393637e-04]\n  [9.99730885e-01 8.99244339e-18 7.50238787e-17 2.69089418e-04]\n  [9.99757946e-01 5.03526925e-18 4.56242286e-17 2.42034977e-04]]\n\n [[9.98445094e-01 3.36759836e-14 3.60482667e-13 1.55496458e-03]\n  [9.99081254e-01 3.64013333e-20 5.63967244e-19 9.18778707e-04]\n  [9.99179542e-01 2.21721714e-22 7.25086815e-21 8.20446759e-04]\n  [9.99206543e-01 1.41811834e-22 7.52580392e-21 7.93432351e-04]\n  [9.99107540e-01 9.67467597e-23 7.32613512e-21 8.92446726e-04]]\n\n [[9.99437869e-01 1.87296688e-15 4.27045416e-14 5.62167144e-04]\n  [9.99599814e-01 2.18766371e-21 1.11934688e-19 4.00168326e-04]\n  [9.99517083e-01 2.51299577e-23 5.86576512e-21 4.82937001e-04]\n  [9.99359190e-01 2.05239835e-23 1.04535297e-20 6.40828919e-04]\n  [9.99279499e-01 1.06465283e-23 8.95199577e-21 7.20501819e-04]]\n\n ...\n\n [[9.92475450e-01 4.88996257e-12 1.01165923e-10 7.52457697e-03]\n  [9.97313201e-01 2.83292733e-18 3.21509355e-16 2.68678786e-03]\n  [9.99112546e-01 4.15633746e-22 3.22643556e-19 8.87477188e-04]\n  [9.99527514e-01 6.19456852e-24 1.04482734e-20 4.72440850e-04]\n  [9.99708235e-01 4.64035397e-25 1.19615285e-21 2.91700533e-04]]\n\n [[9.87629235e-01 1.28061603e-10 1.87306393e-09 1.23707633e-02]\n  [9.95133579e-01 5.26706051e-16 2.61141833e-14 4.86641936e-03]\n  [9.98310328e-01 3.72511742e-19 7.62493103e-17 1.68963487e-03]\n  [9.98789787e-01 1.42223512e-20 6.58695006e-18 1.21013308e-03]\n  [9.99191105e-01 1.45816453e-21 1.14871843e-18 8.08923505e-04]]\n\n [[9.72631037e-01 1.31386088e-07 1.11545114e-06 2.73676906e-02]\n  [9.92871583e-01 4.47726613e-11 6.58263388e-10 7.12842448e-03]\n  [9.97265100e-01 5.92562837e-13 1.48597454e-11 2.73487857e-03]\n  [9.97850657e-01 1.24020857e-13 4.42755641e-12 2.14934815e-03]\n  [9.98326123e-01 4.20831006e-14 2.01483968e-12 1.67390681e-03]]]\nPredicted mask after argmax for 2008_000620: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000620 has shape: (337, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000620. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000620.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000620: (1, 256, 256, 4)\nSome predicted mask values: [[[9.95457709e-01 4.39400349e-10 1.60917979e-09 4.54228045e-03]\n  [9.99110520e-01 6.94475834e-15 2.73369143e-14 8.89508578e-04]\n  [9.99631643e-01 3.81253963e-17 2.45276972e-16 3.68393637e-04]\n  [9.99730885e-01 8.99244339e-18 7.50238787e-17 2.69089418e-04]\n  [9.99757946e-01 5.03526925e-18 4.56242286e-17 2.42034977e-04]]\n\n [[9.98445094e-01 3.36759836e-14 3.60482667e-13 1.55496458e-03]\n  [9.99081254e-01 3.64013333e-20 5.63967244e-19 9.18778707e-04]\n  [9.99179542e-01 2.21721714e-22 7.25086815e-21 8.20446759e-04]\n  [9.99206543e-01 1.41811834e-22 7.52580392e-21 7.93432351e-04]\n  [9.99107540e-01 9.67467597e-23 7.32613512e-21 8.92446726e-04]]\n\n [[9.99437869e-01 1.87296688e-15 4.27045416e-14 5.62167144e-04]\n  [9.99599814e-01 2.18766371e-21 1.11934688e-19 4.00168326e-04]\n  [9.99517083e-01 2.51299577e-23 5.86576512e-21 4.82937001e-04]\n  [9.99359190e-01 2.05239835e-23 1.04535297e-20 6.40828919e-04]\n  [9.99279499e-01 1.06465283e-23 8.95199577e-21 7.20501819e-04]]\n\n ...\n\n [[9.92475450e-01 4.88996257e-12 1.01165923e-10 7.52457697e-03]\n  [9.97313201e-01 2.83292733e-18 3.21509355e-16 2.68678786e-03]\n  [9.99112546e-01 4.15633746e-22 3.22643556e-19 8.87477188e-04]\n  [9.99527514e-01 6.19456852e-24 1.04482734e-20 4.72440850e-04]\n  [9.99708235e-01 4.64035397e-25 1.19615285e-21 2.91700533e-04]]\n\n [[9.87629235e-01 1.28061603e-10 1.87306393e-09 1.23707633e-02]\n  [9.95133579e-01 5.26706051e-16 2.61141833e-14 4.86641936e-03]\n  [9.98310328e-01 3.72511742e-19 7.62493103e-17 1.68963487e-03]\n  [9.98789787e-01 1.42223512e-20 6.58695006e-18 1.21013308e-03]\n  [9.99191105e-01 1.45816453e-21 1.14871843e-18 8.08923505e-04]]\n\n [[9.72631037e-01 1.31386088e-07 1.11545114e-06 2.73676906e-02]\n  [9.92871583e-01 4.47726613e-11 6.58263388e-10 7.12842448e-03]\n  [9.97265100e-01 5.92562837e-13 1.48597454e-11 2.73487857e-03]\n  [9.97850657e-01 1.24020857e-13 4.42755641e-12 2.14934815e-03]\n  [9.98326123e-01 4.20831006e-14 2.01483968e-12 1.67390681e-03]]]\nPredicted mask after argmax for 2008_000620: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000620 has shape: (337, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000620. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000620.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000620: (1, 256, 256, 4)\nSome predicted mask values: [[[9.95457709e-01 4.39400349e-10 1.60917979e-09 4.54228045e-03]\n  [9.99110520e-01 6.94475834e-15 2.73369143e-14 8.89508578e-04]\n  [9.99631643e-01 3.81253963e-17 2.45276972e-16 3.68393637e-04]\n  [9.99730885e-01 8.99244339e-18 7.50238787e-17 2.69089418e-04]\n  [9.99757946e-01 5.03526925e-18 4.56242286e-17 2.42034977e-04]]\n\n [[9.98445094e-01 3.36759836e-14 3.60482667e-13 1.55496458e-03]\n  [9.99081254e-01 3.64013333e-20 5.63967244e-19 9.18778707e-04]\n  [9.99179542e-01 2.21721714e-22 7.25086815e-21 8.20446759e-04]\n  [9.99206543e-01 1.41811834e-22 7.52580392e-21 7.93432351e-04]\n  [9.99107540e-01 9.67467597e-23 7.32613512e-21 8.92446726e-04]]\n\n [[9.99437869e-01 1.87296688e-15 4.27045416e-14 5.62167144e-04]\n  [9.99599814e-01 2.18766371e-21 1.11934688e-19 4.00168326e-04]\n  [9.99517083e-01 2.51299577e-23 5.86576512e-21 4.82937001e-04]\n  [9.99359190e-01 2.05239835e-23 1.04535297e-20 6.40828919e-04]\n  [9.99279499e-01 1.06465283e-23 8.95199577e-21 7.20501819e-04]]\n\n ...\n\n [[9.92475450e-01 4.88996257e-12 1.01165923e-10 7.52457697e-03]\n  [9.97313201e-01 2.83292733e-18 3.21509355e-16 2.68678786e-03]\n  [9.99112546e-01 4.15633746e-22 3.22643556e-19 8.87477188e-04]\n  [9.99527514e-01 6.19456852e-24 1.04482734e-20 4.72440850e-04]\n  [9.99708235e-01 4.64035397e-25 1.19615285e-21 2.91700533e-04]]\n\n [[9.87629235e-01 1.28061603e-10 1.87306393e-09 1.23707633e-02]\n  [9.95133579e-01 5.26706051e-16 2.61141833e-14 4.86641936e-03]\n  [9.98310328e-01 3.72511742e-19 7.62493103e-17 1.68963487e-03]\n  [9.98789787e-01 1.42223512e-20 6.58695006e-18 1.21013308e-03]\n  [9.99191105e-01 1.45816453e-21 1.14871843e-18 8.08923505e-04]]\n\n [[9.72631037e-01 1.31386088e-07 1.11545114e-06 2.73676906e-02]\n  [9.92871583e-01 4.47726613e-11 6.58263388e-10 7.12842448e-03]\n  [9.97265100e-01 5.92562837e-13 1.48597454e-11 2.73487857e-03]\n  [9.97850657e-01 1.24020857e-13 4.42755641e-12 2.14934815e-03]\n  [9.98326123e-01 4.20831006e-14 2.01483968e-12 1.67390681e-03]]]\nPredicted mask after argmax for 2008_000620: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000620 has shape: (337, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000620. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000641.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000641: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81467903e-01 1.92049100e-07 4.69279684e-07 1.85313933e-02]\n  [9.92695212e-01 1.38082143e-10 3.03734510e-10 7.30477972e-03]\n  [9.95761275e-01 3.85376323e-12 1.39855792e-11 4.23871586e-03]\n  [9.96652722e-01 8.24948400e-13 4.26899184e-12 3.34729766e-03]\n  [9.97477949e-01 1.69054373e-13 1.03717696e-12 2.52203457e-03]]\n\n [[9.93490517e-01 9.71890346e-11 5.44352230e-10 6.50943862e-03]\n  [9.94037509e-01 8.33202763e-15 5.49202102e-14 5.96245052e-03]\n  [9.93736148e-01 2.75299737e-16 3.94828992e-15 6.26377016e-03]\n  [9.93990839e-01 1.13809504e-16 2.89767176e-15 6.00918988e-03]\n  [9.94621038e-01 2.19420444e-17 8.36702216e-16 5.37890382e-03]]\n\n [[9.97657418e-01 2.52965205e-12 2.62932488e-11 2.34260643e-03]\n  [9.97494996e-01 1.44876833e-16 2.52241965e-15 2.50491616e-03]\n  [9.96724963e-01 7.35381266e-18 5.47608018e-16 3.27504263e-03]\n  [9.95775938e-01 5.53030541e-18 8.75062697e-16 4.22401959e-03]\n  [9.96054649e-01 1.18617255e-18 3.12985186e-16 3.94531852e-03]]\n\n ...\n\n [[9.15930986e-01 9.97342249e-06 3.34644465e-05 8.40257034e-02]\n  [9.15753722e-01 1.15564923e-07 7.14780185e-07 8.42454433e-02]\n  [9.22712684e-01 3.14629034e-08 3.05349175e-07 7.72869885e-02]\n  [9.23228860e-01 4.15030179e-08 4.58329424e-07 7.67707154e-02]\n  [9.20783222e-01 5.42942686e-08 5.85184296e-07 7.92162269e-02]]\n\n [[9.11935687e-01 1.49304742e-05 4.85821838e-05 8.80008489e-02]\n  [9.18677211e-01 1.93138249e-07 1.02104286e-06 8.13215822e-02]\n  [9.30443108e-01 6.41170388e-08 4.92666175e-07 6.95563853e-02]\n  [9.24128592e-01 9.57323394e-08 8.01071735e-07 7.58705139e-02]\n  [9.18528259e-01 1.33866678e-07 1.15814566e-06 8.14703926e-02]]\n\n [[8.79187584e-01 2.18323315e-04 5.86665468e-04 1.20007485e-01]\n  [9.26527143e-01 1.03189341e-05 3.34920041e-05 7.34291300e-02]\n  [9.39636767e-01 6.18498143e-06 2.21251194e-05 6.03348799e-02]\n  [9.33687806e-01 9.37836921e-06 3.45727785e-05 6.62681609e-02]\n  [9.26233232e-01 1.28941219e-05 4.75075103e-05 7.37063661e-02]]]\nPredicted mask after argmax for 2008_000641: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000641 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000641. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000641.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000641: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81467903e-01 1.92049100e-07 4.69279684e-07 1.85313933e-02]\n  [9.92695212e-01 1.38082143e-10 3.03734510e-10 7.30477972e-03]\n  [9.95761275e-01 3.85376323e-12 1.39855792e-11 4.23871586e-03]\n  [9.96652722e-01 8.24948400e-13 4.26899184e-12 3.34729766e-03]\n  [9.97477949e-01 1.69054373e-13 1.03717696e-12 2.52203457e-03]]\n\n [[9.93490517e-01 9.71890346e-11 5.44352230e-10 6.50943862e-03]\n  [9.94037509e-01 8.33202763e-15 5.49202102e-14 5.96245052e-03]\n  [9.93736148e-01 2.75299737e-16 3.94828992e-15 6.26377016e-03]\n  [9.93990839e-01 1.13809504e-16 2.89767176e-15 6.00918988e-03]\n  [9.94621038e-01 2.19420444e-17 8.36702216e-16 5.37890382e-03]]\n\n [[9.97657418e-01 2.52965205e-12 2.62932488e-11 2.34260643e-03]\n  [9.97494996e-01 1.44876833e-16 2.52241965e-15 2.50491616e-03]\n  [9.96724963e-01 7.35381266e-18 5.47608018e-16 3.27504263e-03]\n  [9.95775938e-01 5.53030541e-18 8.75062697e-16 4.22401959e-03]\n  [9.96054649e-01 1.18617255e-18 3.12985186e-16 3.94531852e-03]]\n\n ...\n\n [[9.15930986e-01 9.97342249e-06 3.34644465e-05 8.40257034e-02]\n  [9.15753722e-01 1.15564923e-07 7.14780185e-07 8.42454433e-02]\n  [9.22712684e-01 3.14629034e-08 3.05349175e-07 7.72869885e-02]\n  [9.23228860e-01 4.15030179e-08 4.58329424e-07 7.67707154e-02]\n  [9.20783222e-01 5.42942686e-08 5.85184296e-07 7.92162269e-02]]\n\n [[9.11935687e-01 1.49304742e-05 4.85821838e-05 8.80008489e-02]\n  [9.18677211e-01 1.93138249e-07 1.02104286e-06 8.13215822e-02]\n  [9.30443108e-01 6.41170388e-08 4.92666175e-07 6.95563853e-02]\n  [9.24128592e-01 9.57323394e-08 8.01071735e-07 7.58705139e-02]\n  [9.18528259e-01 1.33866678e-07 1.15814566e-06 8.14703926e-02]]\n\n [[8.79187584e-01 2.18323315e-04 5.86665468e-04 1.20007485e-01]\n  [9.26527143e-01 1.03189341e-05 3.34920041e-05 7.34291300e-02]\n  [9.39636767e-01 6.18498143e-06 2.21251194e-05 6.03348799e-02]\n  [9.33687806e-01 9.37836921e-06 3.45727785e-05 6.62681609e-02]\n  [9.26233232e-01 1.28941219e-05 4.75075103e-05 7.37063661e-02]]]\nPredicted mask after argmax for 2008_000641: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000641 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000641. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000641.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000641: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81467903e-01 1.92049100e-07 4.69279684e-07 1.85313933e-02]\n  [9.92695212e-01 1.38082143e-10 3.03734510e-10 7.30477972e-03]\n  [9.95761275e-01 3.85376323e-12 1.39855792e-11 4.23871586e-03]\n  [9.96652722e-01 8.24948400e-13 4.26899184e-12 3.34729766e-03]\n  [9.97477949e-01 1.69054373e-13 1.03717696e-12 2.52203457e-03]]\n\n [[9.93490517e-01 9.71890346e-11 5.44352230e-10 6.50943862e-03]\n  [9.94037509e-01 8.33202763e-15 5.49202102e-14 5.96245052e-03]\n  [9.93736148e-01 2.75299737e-16 3.94828992e-15 6.26377016e-03]\n  [9.93990839e-01 1.13809504e-16 2.89767176e-15 6.00918988e-03]\n  [9.94621038e-01 2.19420444e-17 8.36702216e-16 5.37890382e-03]]\n\n [[9.97657418e-01 2.52965205e-12 2.62932488e-11 2.34260643e-03]\n  [9.97494996e-01 1.44876833e-16 2.52241965e-15 2.50491616e-03]\n  [9.96724963e-01 7.35381266e-18 5.47608018e-16 3.27504263e-03]\n  [9.95775938e-01 5.53030541e-18 8.75062697e-16 4.22401959e-03]\n  [9.96054649e-01 1.18617255e-18 3.12985186e-16 3.94531852e-03]]\n\n ...\n\n [[9.15930986e-01 9.97342249e-06 3.34644465e-05 8.40257034e-02]\n  [9.15753722e-01 1.15564923e-07 7.14780185e-07 8.42454433e-02]\n  [9.22712684e-01 3.14629034e-08 3.05349175e-07 7.72869885e-02]\n  [9.23228860e-01 4.15030179e-08 4.58329424e-07 7.67707154e-02]\n  [9.20783222e-01 5.42942686e-08 5.85184296e-07 7.92162269e-02]]\n\n [[9.11935687e-01 1.49304742e-05 4.85821838e-05 8.80008489e-02]\n  [9.18677211e-01 1.93138249e-07 1.02104286e-06 8.13215822e-02]\n  [9.30443108e-01 6.41170388e-08 4.92666175e-07 6.95563853e-02]\n  [9.24128592e-01 9.57323394e-08 8.01071735e-07 7.58705139e-02]\n  [9.18528259e-01 1.33866678e-07 1.15814566e-06 8.14703926e-02]]\n\n [[8.79187584e-01 2.18323315e-04 5.86665468e-04 1.20007485e-01]\n  [9.26527143e-01 1.03189341e-05 3.34920041e-05 7.34291300e-02]\n  [9.39636767e-01 6.18498143e-06 2.21251194e-05 6.03348799e-02]\n  [9.33687806e-01 9.37836921e-06 3.45727785e-05 6.62681609e-02]\n  [9.26233232e-01 1.28941219e-05 4.75075103e-05 7.37063661e-02]]]\nPredicted mask after argmax for 2008_000641: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000641 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000641. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000641.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000641: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81467903e-01 1.92049100e-07 4.69279684e-07 1.85313933e-02]\n  [9.92695212e-01 1.38082143e-10 3.03734510e-10 7.30477972e-03]\n  [9.95761275e-01 3.85376323e-12 1.39855792e-11 4.23871586e-03]\n  [9.96652722e-01 8.24948400e-13 4.26899184e-12 3.34729766e-03]\n  [9.97477949e-01 1.69054373e-13 1.03717696e-12 2.52203457e-03]]\n\n [[9.93490517e-01 9.71890346e-11 5.44352230e-10 6.50943862e-03]\n  [9.94037509e-01 8.33202763e-15 5.49202102e-14 5.96245052e-03]\n  [9.93736148e-01 2.75299737e-16 3.94828992e-15 6.26377016e-03]\n  [9.93990839e-01 1.13809504e-16 2.89767176e-15 6.00918988e-03]\n  [9.94621038e-01 2.19420444e-17 8.36702216e-16 5.37890382e-03]]\n\n [[9.97657418e-01 2.52965205e-12 2.62932488e-11 2.34260643e-03]\n  [9.97494996e-01 1.44876833e-16 2.52241965e-15 2.50491616e-03]\n  [9.96724963e-01 7.35381266e-18 5.47608018e-16 3.27504263e-03]\n  [9.95775938e-01 5.53030541e-18 8.75062697e-16 4.22401959e-03]\n  [9.96054649e-01 1.18617255e-18 3.12985186e-16 3.94531852e-03]]\n\n ...\n\n [[9.15930986e-01 9.97342249e-06 3.34644465e-05 8.40257034e-02]\n  [9.15753722e-01 1.15564923e-07 7.14780185e-07 8.42454433e-02]\n  [9.22712684e-01 3.14629034e-08 3.05349175e-07 7.72869885e-02]\n  [9.23228860e-01 4.15030179e-08 4.58329424e-07 7.67707154e-02]\n  [9.20783222e-01 5.42942686e-08 5.85184296e-07 7.92162269e-02]]\n\n [[9.11935687e-01 1.49304742e-05 4.85821838e-05 8.80008489e-02]\n  [9.18677211e-01 1.93138249e-07 1.02104286e-06 8.13215822e-02]\n  [9.30443108e-01 6.41170388e-08 4.92666175e-07 6.95563853e-02]\n  [9.24128592e-01 9.57323394e-08 8.01071735e-07 7.58705139e-02]\n  [9.18528259e-01 1.33866678e-07 1.15814566e-06 8.14703926e-02]]\n\n [[8.79187584e-01 2.18323315e-04 5.86665468e-04 1.20007485e-01]\n  [9.26527143e-01 1.03189341e-05 3.34920041e-05 7.34291300e-02]\n  [9.39636767e-01 6.18498143e-06 2.21251194e-05 6.03348799e-02]\n  [9.33687806e-01 9.37836921e-06 3.45727785e-05 6.62681609e-02]\n  [9.26233232e-01 1.28941219e-05 4.75075103e-05 7.37063661e-02]]]\nPredicted mask after argmax for 2008_000641: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000641 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000641. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000660: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86492097e-01 5.80117039e-08 1.46930873e-07 1.35077387e-02]\n  [9.94935155e-01 2.76610592e-11 6.11686743e-11 5.06480364e-03]\n  [9.96964157e-01 8.18706268e-13 3.23657659e-12 3.03585012e-03]\n  [9.97361958e-01 2.38990414e-13 1.42468968e-12 2.63804826e-03]\n  [9.97771561e-01 6.78349792e-14 4.97129031e-13 2.22838740e-03]]\n\n [[9.96067762e-01 1.35325640e-11 8.15181533e-11 3.93216684e-03]\n  [9.96515155e-01 6.43467266e-16 4.28641785e-15 3.48483142e-03]\n  [9.96059000e-01 2.42918660e-17 3.81275179e-16 3.94097576e-03]\n  [9.95790005e-01 1.60859944e-17 4.79986572e-16 4.20992728e-03]\n  [9.95984256e-01 4.27255661e-18 2.01239530e-16 4.01571533e-03]]\n\n [[9.98776257e-01 2.25099832e-13 2.51100855e-12 1.22370815e-03]\n  [9.98772562e-01 7.20701126e-18 1.25570715e-16 1.22740038e-03]\n  [9.98149157e-01 5.01352877e-19 4.07382911e-17 1.85085833e-03]\n  [9.97082770e-01 7.20945755e-19 1.30361931e-16 2.91716983e-03]\n  [9.97085273e-01 1.94700325e-19 6.41640692e-17 2.91467295e-03]]\n\n ...\n\n [[9.16137457e-01 7.62222408e-06 2.73961668e-05 8.38274732e-02]\n  [9.21525121e-01 7.01297580e-08 4.94864878e-07 7.84741938e-02]\n  [9.29354846e-01 1.67983885e-08 1.82383843e-07 7.06449077e-02]\n  [9.32056189e-01 1.97180050e-08 2.40730259e-07 6.79436550e-02]\n  [9.31765556e-01 2.12472777e-08 2.59247003e-07 6.82342052e-02]]\n\n [[9.07361507e-01 1.54975623e-05 5.33153943e-05 9.25696492e-02]\n  [9.18558598e-01 1.83858731e-07 1.07335075e-06 8.14400688e-02]\n  [9.29413021e-01 5.13453848e-08 4.27483627e-07 7.05864578e-02]\n  [9.28588867e-01 5.77411612e-08 5.42453620e-07 7.14104325e-02]\n  [9.27449584e-01 5.89218381e-08 6.04328761e-07 7.25497231e-02]]\n\n [[8.71813238e-01 2.66110088e-04 7.28598388e-04 1.27191916e-01]\n  [9.20242727e-01 1.36527715e-05 4.49966792e-05 7.96986371e-02]\n  [9.34483111e-01 6.88711089e-06 2.61726709e-05 6.54838011e-02]\n  [9.31191921e-01 8.11340124e-06 3.22083906e-05 6.87677786e-02]\n  [9.26217079e-01 8.81100550e-06 3.58194920e-05 7.37383738e-02]]]\nPredicted mask after argmax for 2008_000660: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000660 has shape: (213, 320)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000660. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000660: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86492097e-01 5.80117039e-08 1.46930873e-07 1.35077387e-02]\n  [9.94935155e-01 2.76610592e-11 6.11686743e-11 5.06480364e-03]\n  [9.96964157e-01 8.18706268e-13 3.23657659e-12 3.03585012e-03]\n  [9.97361958e-01 2.38990414e-13 1.42468968e-12 2.63804826e-03]\n  [9.97771561e-01 6.78349792e-14 4.97129031e-13 2.22838740e-03]]\n\n [[9.96067762e-01 1.35325640e-11 8.15181533e-11 3.93216684e-03]\n  [9.96515155e-01 6.43467266e-16 4.28641785e-15 3.48483142e-03]\n  [9.96059000e-01 2.42918660e-17 3.81275179e-16 3.94097576e-03]\n  [9.95790005e-01 1.60859944e-17 4.79986572e-16 4.20992728e-03]\n  [9.95984256e-01 4.27255661e-18 2.01239530e-16 4.01571533e-03]]\n\n [[9.98776257e-01 2.25099832e-13 2.51100855e-12 1.22370815e-03]\n  [9.98772562e-01 7.20701126e-18 1.25570715e-16 1.22740038e-03]\n  [9.98149157e-01 5.01352877e-19 4.07382911e-17 1.85085833e-03]\n  [9.97082770e-01 7.20945755e-19 1.30361931e-16 2.91716983e-03]\n  [9.97085273e-01 1.94700325e-19 6.41640692e-17 2.91467295e-03]]\n\n ...\n\n [[9.16137457e-01 7.62222408e-06 2.73961668e-05 8.38274732e-02]\n  [9.21525121e-01 7.01297580e-08 4.94864878e-07 7.84741938e-02]\n  [9.29354846e-01 1.67983885e-08 1.82383843e-07 7.06449077e-02]\n  [9.32056189e-01 1.97180050e-08 2.40730259e-07 6.79436550e-02]\n  [9.31765556e-01 2.12472777e-08 2.59247003e-07 6.82342052e-02]]\n\n [[9.07361507e-01 1.54975623e-05 5.33153943e-05 9.25696492e-02]\n  [9.18558598e-01 1.83858731e-07 1.07335075e-06 8.14400688e-02]\n  [9.29413021e-01 5.13453848e-08 4.27483627e-07 7.05864578e-02]\n  [9.28588867e-01 5.77411612e-08 5.42453620e-07 7.14104325e-02]\n  [9.27449584e-01 5.89218381e-08 6.04328761e-07 7.25497231e-02]]\n\n [[8.71813238e-01 2.66110088e-04 7.28598388e-04 1.27191916e-01]\n  [9.20242727e-01 1.36527715e-05 4.49966792e-05 7.96986371e-02]\n  [9.34483111e-01 6.88711089e-06 2.61726709e-05 6.54838011e-02]\n  [9.31191921e-01 8.11340124e-06 3.22083906e-05 6.87677786e-02]\n  [9.26217079e-01 8.81100550e-06 3.58194920e-05 7.37383738e-02]]]\nPredicted mask after argmax for 2008_000660: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000660 has shape: (213, 320)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000660. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000660: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86492097e-01 5.80117039e-08 1.46930873e-07 1.35077387e-02]\n  [9.94935155e-01 2.76610592e-11 6.11686743e-11 5.06480364e-03]\n  [9.96964157e-01 8.18706268e-13 3.23657659e-12 3.03585012e-03]\n  [9.97361958e-01 2.38990414e-13 1.42468968e-12 2.63804826e-03]\n  [9.97771561e-01 6.78349792e-14 4.97129031e-13 2.22838740e-03]]\n\n [[9.96067762e-01 1.35325640e-11 8.15181533e-11 3.93216684e-03]\n  [9.96515155e-01 6.43467266e-16 4.28641785e-15 3.48483142e-03]\n  [9.96059000e-01 2.42918660e-17 3.81275179e-16 3.94097576e-03]\n  [9.95790005e-01 1.60859944e-17 4.79986572e-16 4.20992728e-03]\n  [9.95984256e-01 4.27255661e-18 2.01239530e-16 4.01571533e-03]]\n\n [[9.98776257e-01 2.25099832e-13 2.51100855e-12 1.22370815e-03]\n  [9.98772562e-01 7.20701126e-18 1.25570715e-16 1.22740038e-03]\n  [9.98149157e-01 5.01352877e-19 4.07382911e-17 1.85085833e-03]\n  [9.97082770e-01 7.20945755e-19 1.30361931e-16 2.91716983e-03]\n  [9.97085273e-01 1.94700325e-19 6.41640692e-17 2.91467295e-03]]\n\n ...\n\n [[9.16137457e-01 7.62222408e-06 2.73961668e-05 8.38274732e-02]\n  [9.21525121e-01 7.01297580e-08 4.94864878e-07 7.84741938e-02]\n  [9.29354846e-01 1.67983885e-08 1.82383843e-07 7.06449077e-02]\n  [9.32056189e-01 1.97180050e-08 2.40730259e-07 6.79436550e-02]\n  [9.31765556e-01 2.12472777e-08 2.59247003e-07 6.82342052e-02]]\n\n [[9.07361507e-01 1.54975623e-05 5.33153943e-05 9.25696492e-02]\n  [9.18558598e-01 1.83858731e-07 1.07335075e-06 8.14400688e-02]\n  [9.29413021e-01 5.13453848e-08 4.27483627e-07 7.05864578e-02]\n  [9.28588867e-01 5.77411612e-08 5.42453620e-07 7.14104325e-02]\n  [9.27449584e-01 5.89218381e-08 6.04328761e-07 7.25497231e-02]]\n\n [[8.71813238e-01 2.66110088e-04 7.28598388e-04 1.27191916e-01]\n  [9.20242727e-01 1.36527715e-05 4.49966792e-05 7.96986371e-02]\n  [9.34483111e-01 6.88711089e-06 2.61726709e-05 6.54838011e-02]\n  [9.31191921e-01 8.11340124e-06 3.22083906e-05 6.87677786e-02]\n  [9.26217079e-01 8.81100550e-06 3.58194920e-05 7.37383738e-02]]]\nPredicted mask after argmax for 2008_000660: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000660 has shape: (213, 320)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000660. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000661.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000661: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78297770e-01 3.86607155e-07 8.96388940e-07 2.17008963e-02]\n  [9.90639091e-01 4.62847427e-10 9.48265910e-10 9.36089456e-03]\n  [9.94135022e-01 1.89802861e-11 6.41595319e-11 5.86498529e-03]\n  [9.95094001e-01 5.08286035e-12 2.44772692e-11 4.90589906e-03]\n  [9.96173739e-01 1.14712450e-12 6.65715790e-12 3.82616953e-03]]\n\n [[9.92366076e-01 2.50719806e-10 1.28375810e-09 7.63397710e-03]\n  [9.92678523e-01 4.02341497e-14 2.32338454e-13 7.32152071e-03]\n  [9.91876602e-01 2.07326624e-15 2.56444883e-14 8.12332984e-03]\n  [9.91860569e-01 1.06767698e-15 2.33810147e-14 8.13940074e-03]\n  [9.92663980e-01 2.19129170e-16 7.25249430e-15 7.33601395e-03]]\n\n [[9.97156739e-01 7.12642619e-12 6.48055012e-11 2.84327613e-03]\n  [9.96869743e-01 7.71768352e-16 1.09980816e-14 3.13023757e-03]\n  [9.95690763e-01 6.04382228e-17 3.47085049e-15 4.30920115e-03]\n  [9.94205832e-01 5.49154985e-17 6.57100208e-15 5.79408742e-03]\n  [9.94565368e-01 1.17409363e-17 2.37994807e-15 5.43464441e-03]]\n\n ...\n\n [[8.94053280e-01 5.30824036e-05 1.48544117e-04 1.05745062e-01]\n  [8.86507750e-01 1.71410568e-06 7.38108156e-06 1.13483153e-01]\n  [8.91724288e-01 7.17330636e-07 4.49197478e-06 1.08270548e-01]\n  [8.92319977e-01 9.26335304e-07 6.57416285e-06 1.07672468e-01]\n  [8.89988661e-01 1.07609060e-06 7.56991722e-06 1.10002756e-01]]\n\n [[8.81720901e-01 1.05405947e-04 2.77047191e-04 1.17896631e-01]\n  [8.82866561e-01 4.11835163e-06 1.50820988e-05 1.17114320e-01]\n  [8.93576860e-01 2.00053114e-06 1.01908790e-05 1.06410913e-01]\n  [8.87823641e-01 2.62018102e-06 1.44508112e-05 1.12159200e-01]\n  [8.81584585e-01 2.98346845e-06 1.73911449e-05 1.18395112e-01]]\n\n [[8.39729905e-01 1.04039931e-03 2.32565613e-03 1.56904101e-01]\n  [8.85876834e-01 1.15420495e-04 2.95500999e-04 1.13712221e-01]\n  [8.96537006e-01 8.92696698e-05 2.46547075e-04 1.03127241e-01]\n  [8.89972508e-01 1.16399511e-04 3.30155162e-04 1.09580874e-01]\n  [8.81321669e-01 1.33836686e-04 3.83530627e-04 1.18160948e-01]]]\nPredicted mask after argmax for 2008_000661: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000661 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000661. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000661.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000661: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78297770e-01 3.86607155e-07 8.96388940e-07 2.17008963e-02]\n  [9.90639091e-01 4.62847427e-10 9.48265910e-10 9.36089456e-03]\n  [9.94135022e-01 1.89802861e-11 6.41595319e-11 5.86498529e-03]\n  [9.95094001e-01 5.08286035e-12 2.44772692e-11 4.90589906e-03]\n  [9.96173739e-01 1.14712450e-12 6.65715790e-12 3.82616953e-03]]\n\n [[9.92366076e-01 2.50719806e-10 1.28375810e-09 7.63397710e-03]\n  [9.92678523e-01 4.02341497e-14 2.32338454e-13 7.32152071e-03]\n  [9.91876602e-01 2.07326624e-15 2.56444883e-14 8.12332984e-03]\n  [9.91860569e-01 1.06767698e-15 2.33810147e-14 8.13940074e-03]\n  [9.92663980e-01 2.19129170e-16 7.25249430e-15 7.33601395e-03]]\n\n [[9.97156739e-01 7.12642619e-12 6.48055012e-11 2.84327613e-03]\n  [9.96869743e-01 7.71768352e-16 1.09980816e-14 3.13023757e-03]\n  [9.95690763e-01 6.04382228e-17 3.47085049e-15 4.30920115e-03]\n  [9.94205832e-01 5.49154985e-17 6.57100208e-15 5.79408742e-03]\n  [9.94565368e-01 1.17409363e-17 2.37994807e-15 5.43464441e-03]]\n\n ...\n\n [[8.94053280e-01 5.30824036e-05 1.48544117e-04 1.05745062e-01]\n  [8.86507750e-01 1.71410568e-06 7.38108156e-06 1.13483153e-01]\n  [8.91724288e-01 7.17330636e-07 4.49197478e-06 1.08270548e-01]\n  [8.92319977e-01 9.26335304e-07 6.57416285e-06 1.07672468e-01]\n  [8.89988661e-01 1.07609060e-06 7.56991722e-06 1.10002756e-01]]\n\n [[8.81720901e-01 1.05405947e-04 2.77047191e-04 1.17896631e-01]\n  [8.82866561e-01 4.11835163e-06 1.50820988e-05 1.17114320e-01]\n  [8.93576860e-01 2.00053114e-06 1.01908790e-05 1.06410913e-01]\n  [8.87823641e-01 2.62018102e-06 1.44508112e-05 1.12159200e-01]\n  [8.81584585e-01 2.98346845e-06 1.73911449e-05 1.18395112e-01]]\n\n [[8.39729905e-01 1.04039931e-03 2.32565613e-03 1.56904101e-01]\n  [8.85876834e-01 1.15420495e-04 2.95500999e-04 1.13712221e-01]\n  [8.96537006e-01 8.92696698e-05 2.46547075e-04 1.03127241e-01]\n  [8.89972508e-01 1.16399511e-04 3.30155162e-04 1.09580874e-01]\n  [8.81321669e-01 1.33836686e-04 3.83530627e-04 1.18160948e-01]]]\nPredicted mask after argmax for 2008_000661: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000661 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000661. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000661.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000661: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78297770e-01 3.86607155e-07 8.96388940e-07 2.17008963e-02]\n  [9.90639091e-01 4.62847427e-10 9.48265910e-10 9.36089456e-03]\n  [9.94135022e-01 1.89802861e-11 6.41595319e-11 5.86498529e-03]\n  [9.95094001e-01 5.08286035e-12 2.44772692e-11 4.90589906e-03]\n  [9.96173739e-01 1.14712450e-12 6.65715790e-12 3.82616953e-03]]\n\n [[9.92366076e-01 2.50719806e-10 1.28375810e-09 7.63397710e-03]\n  [9.92678523e-01 4.02341497e-14 2.32338454e-13 7.32152071e-03]\n  [9.91876602e-01 2.07326624e-15 2.56444883e-14 8.12332984e-03]\n  [9.91860569e-01 1.06767698e-15 2.33810147e-14 8.13940074e-03]\n  [9.92663980e-01 2.19129170e-16 7.25249430e-15 7.33601395e-03]]\n\n [[9.97156739e-01 7.12642619e-12 6.48055012e-11 2.84327613e-03]\n  [9.96869743e-01 7.71768352e-16 1.09980816e-14 3.13023757e-03]\n  [9.95690763e-01 6.04382228e-17 3.47085049e-15 4.30920115e-03]\n  [9.94205832e-01 5.49154985e-17 6.57100208e-15 5.79408742e-03]\n  [9.94565368e-01 1.17409363e-17 2.37994807e-15 5.43464441e-03]]\n\n ...\n\n [[8.94053280e-01 5.30824036e-05 1.48544117e-04 1.05745062e-01]\n  [8.86507750e-01 1.71410568e-06 7.38108156e-06 1.13483153e-01]\n  [8.91724288e-01 7.17330636e-07 4.49197478e-06 1.08270548e-01]\n  [8.92319977e-01 9.26335304e-07 6.57416285e-06 1.07672468e-01]\n  [8.89988661e-01 1.07609060e-06 7.56991722e-06 1.10002756e-01]]\n\n [[8.81720901e-01 1.05405947e-04 2.77047191e-04 1.17896631e-01]\n  [8.82866561e-01 4.11835163e-06 1.50820988e-05 1.17114320e-01]\n  [8.93576860e-01 2.00053114e-06 1.01908790e-05 1.06410913e-01]\n  [8.87823641e-01 2.62018102e-06 1.44508112e-05 1.12159200e-01]\n  [8.81584585e-01 2.98346845e-06 1.73911449e-05 1.18395112e-01]]\n\n [[8.39729905e-01 1.04039931e-03 2.32565613e-03 1.56904101e-01]\n  [8.85876834e-01 1.15420495e-04 2.95500999e-04 1.13712221e-01]\n  [8.96537006e-01 8.92696698e-05 2.46547075e-04 1.03127241e-01]\n  [8.89972508e-01 1.16399511e-04 3.30155162e-04 1.09580874e-01]\n  [8.81321669e-01 1.33836686e-04 3.83530627e-04 1.18160948e-01]]]\nPredicted mask after argmax for 2008_000661: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000661 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000661. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000661.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000661: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78297770e-01 3.86607155e-07 8.96388940e-07 2.17008963e-02]\n  [9.90639091e-01 4.62847427e-10 9.48265910e-10 9.36089456e-03]\n  [9.94135022e-01 1.89802861e-11 6.41595319e-11 5.86498529e-03]\n  [9.95094001e-01 5.08286035e-12 2.44772692e-11 4.90589906e-03]\n  [9.96173739e-01 1.14712450e-12 6.65715790e-12 3.82616953e-03]]\n\n [[9.92366076e-01 2.50719806e-10 1.28375810e-09 7.63397710e-03]\n  [9.92678523e-01 4.02341497e-14 2.32338454e-13 7.32152071e-03]\n  [9.91876602e-01 2.07326624e-15 2.56444883e-14 8.12332984e-03]\n  [9.91860569e-01 1.06767698e-15 2.33810147e-14 8.13940074e-03]\n  [9.92663980e-01 2.19129170e-16 7.25249430e-15 7.33601395e-03]]\n\n [[9.97156739e-01 7.12642619e-12 6.48055012e-11 2.84327613e-03]\n  [9.96869743e-01 7.71768352e-16 1.09980816e-14 3.13023757e-03]\n  [9.95690763e-01 6.04382228e-17 3.47085049e-15 4.30920115e-03]\n  [9.94205832e-01 5.49154985e-17 6.57100208e-15 5.79408742e-03]\n  [9.94565368e-01 1.17409363e-17 2.37994807e-15 5.43464441e-03]]\n\n ...\n\n [[8.94053280e-01 5.30824036e-05 1.48544117e-04 1.05745062e-01]\n  [8.86507750e-01 1.71410568e-06 7.38108156e-06 1.13483153e-01]\n  [8.91724288e-01 7.17330636e-07 4.49197478e-06 1.08270548e-01]\n  [8.92319977e-01 9.26335304e-07 6.57416285e-06 1.07672468e-01]\n  [8.89988661e-01 1.07609060e-06 7.56991722e-06 1.10002756e-01]]\n\n [[8.81720901e-01 1.05405947e-04 2.77047191e-04 1.17896631e-01]\n  [8.82866561e-01 4.11835163e-06 1.50820988e-05 1.17114320e-01]\n  [8.93576860e-01 2.00053114e-06 1.01908790e-05 1.06410913e-01]\n  [8.87823641e-01 2.62018102e-06 1.44508112e-05 1.12159200e-01]\n  [8.81584585e-01 2.98346845e-06 1.73911449e-05 1.18395112e-01]]\n\n [[8.39729905e-01 1.04039931e-03 2.32565613e-03 1.56904101e-01]\n  [8.85876834e-01 1.15420495e-04 2.95500999e-04 1.13712221e-01]\n  [8.96537006e-01 8.92696698e-05 2.46547075e-04 1.03127241e-01]\n  [8.89972508e-01 1.16399511e-04 3.30155162e-04 1.09580874e-01]\n  [8.81321669e-01 1.33836686e-04 3.83530627e-04 1.18160948e-01]]]\nPredicted mask after argmax for 2008_000661: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000661 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000661. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000669.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000669: (1, 256, 256, 4)\nSome predicted mask values: [[[9.66052651e-01 2.71411955e-06 5.40954943e-06 3.39391306e-02]\n  [9.80674446e-01 1.37774352e-08 2.34648780e-08 1.93254780e-02]\n  [9.85010564e-01 1.54592117e-09 4.50576820e-09 1.49894953e-02]\n  [9.85569954e-01 6.79002299e-10 2.89821367e-09 1.44300610e-02]\n  [9.88176763e-01 1.58542554e-10 8.55816751e-10 1.18232565e-02]]\n\n [[9.88364458e-01 3.05949777e-09 1.23874813e-08 1.16354991e-02]\n  [9.86982584e-01 2.76206879e-12 1.14761360e-11 1.30173899e-02]\n  [9.83548343e-01 4.46210045e-13 4.05880928e-12 1.64517108e-02]\n  [9.82068837e-01 3.76277758e-13 6.01677128e-12 1.79311596e-02]\n  [9.84205663e-01 7.08121780e-14 1.78743880e-12 1.57943405e-02]]\n\n [[9.95511353e-01 8.55692392e-11 5.62130509e-10 4.48865118e-03]\n  [9.94386613e-01 4.97037138e-14 4.33641133e-13 5.61335962e-03]\n  [9.91215229e-01 1.24396046e-14 4.02682282e-13 8.78479518e-03]\n  [9.86796021e-01 2.03917321e-14 1.29460722e-12 1.32039459e-02]\n  [9.88047004e-01 4.13990233e-15 4.46116044e-13 1.19530382e-02]]\n\n ...\n\n [[9.05345798e-01 2.95857553e-05 9.07751746e-05 9.45338830e-02]\n  [8.98646295e-01 8.05896946e-07 3.69880945e-06 1.01349063e-01]\n  [9.01979327e-01 3.50831499e-07 2.45978958e-06 9.80179086e-02]\n  [9.00377750e-01 5.06753281e-07 3.98957400e-06 9.96176824e-02]\n  [8.96519721e-01 6.64211086e-07 5.09263737e-06 1.03474513e-01]]\n\n [[8.85417581e-01 8.05847449e-05 2.31505663e-04 1.14270411e-01]\n  [8.88281405e-01 2.76039714e-06 1.10499641e-05 1.11704886e-01]\n  [9.00057733e-01 1.20404252e-06 6.86424028e-06 9.99342948e-02]\n  [8.95217538e-01 1.49638015e-06 9.27045858e-06 1.04771681e-01]\n  [8.90492499e-01 1.67666053e-06 1.10622877e-05 1.09494731e-01]]\n\n [[8.38042259e-01 1.05624564e-03 2.45997356e-03 1.58441409e-01]\n  [8.83439600e-01 1.16834308e-04 3.12891818e-04 1.16130702e-01]\n  [8.95680249e-01 8.19617853e-05 2.43567716e-04 1.03994176e-01]\n  [8.89934778e-01 9.91074121e-05 3.04652960e-04 1.09661400e-01]\n  [8.81797671e-01 1.08298824e-04 3.38177953e-04 1.17755920e-01]]]\nPredicted mask after argmax for 2008_000669: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000669 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000669. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000669.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000669: (1, 256, 256, 4)\nSome predicted mask values: [[[9.66052651e-01 2.71411955e-06 5.40954943e-06 3.39391306e-02]\n  [9.80674446e-01 1.37774352e-08 2.34648780e-08 1.93254780e-02]\n  [9.85010564e-01 1.54592117e-09 4.50576820e-09 1.49894953e-02]\n  [9.85569954e-01 6.79002299e-10 2.89821367e-09 1.44300610e-02]\n  [9.88176763e-01 1.58542554e-10 8.55816751e-10 1.18232565e-02]]\n\n [[9.88364458e-01 3.05949777e-09 1.23874813e-08 1.16354991e-02]\n  [9.86982584e-01 2.76206879e-12 1.14761360e-11 1.30173899e-02]\n  [9.83548343e-01 4.46210045e-13 4.05880928e-12 1.64517108e-02]\n  [9.82068837e-01 3.76277758e-13 6.01677128e-12 1.79311596e-02]\n  [9.84205663e-01 7.08121780e-14 1.78743880e-12 1.57943405e-02]]\n\n [[9.95511353e-01 8.55692392e-11 5.62130509e-10 4.48865118e-03]\n  [9.94386613e-01 4.97037138e-14 4.33641133e-13 5.61335962e-03]\n  [9.91215229e-01 1.24396046e-14 4.02682282e-13 8.78479518e-03]\n  [9.86796021e-01 2.03917321e-14 1.29460722e-12 1.32039459e-02]\n  [9.88047004e-01 4.13990233e-15 4.46116044e-13 1.19530382e-02]]\n\n ...\n\n [[9.05345798e-01 2.95857553e-05 9.07751746e-05 9.45338830e-02]\n  [8.98646295e-01 8.05896946e-07 3.69880945e-06 1.01349063e-01]\n  [9.01979327e-01 3.50831499e-07 2.45978958e-06 9.80179086e-02]\n  [9.00377750e-01 5.06753281e-07 3.98957400e-06 9.96176824e-02]\n  [8.96519721e-01 6.64211086e-07 5.09263737e-06 1.03474513e-01]]\n\n [[8.85417581e-01 8.05847449e-05 2.31505663e-04 1.14270411e-01]\n  [8.88281405e-01 2.76039714e-06 1.10499641e-05 1.11704886e-01]\n  [9.00057733e-01 1.20404252e-06 6.86424028e-06 9.99342948e-02]\n  [8.95217538e-01 1.49638015e-06 9.27045858e-06 1.04771681e-01]\n  [8.90492499e-01 1.67666053e-06 1.10622877e-05 1.09494731e-01]]\n\n [[8.38042259e-01 1.05624564e-03 2.45997356e-03 1.58441409e-01]\n  [8.83439600e-01 1.16834308e-04 3.12891818e-04 1.16130702e-01]\n  [8.95680249e-01 8.19617853e-05 2.43567716e-04 1.03994176e-01]\n  [8.89934778e-01 9.91074121e-05 3.04652960e-04 1.09661400e-01]\n  [8.81797671e-01 1.08298824e-04 3.38177953e-04 1.17755920e-01]]]\nPredicted mask after argmax for 2008_000669: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000669 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000669. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000669.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000669: (1, 256, 256, 4)\nSome predicted mask values: [[[9.66052651e-01 2.71411955e-06 5.40954943e-06 3.39391306e-02]\n  [9.80674446e-01 1.37774352e-08 2.34648780e-08 1.93254780e-02]\n  [9.85010564e-01 1.54592117e-09 4.50576820e-09 1.49894953e-02]\n  [9.85569954e-01 6.79002299e-10 2.89821367e-09 1.44300610e-02]\n  [9.88176763e-01 1.58542554e-10 8.55816751e-10 1.18232565e-02]]\n\n [[9.88364458e-01 3.05949777e-09 1.23874813e-08 1.16354991e-02]\n  [9.86982584e-01 2.76206879e-12 1.14761360e-11 1.30173899e-02]\n  [9.83548343e-01 4.46210045e-13 4.05880928e-12 1.64517108e-02]\n  [9.82068837e-01 3.76277758e-13 6.01677128e-12 1.79311596e-02]\n  [9.84205663e-01 7.08121780e-14 1.78743880e-12 1.57943405e-02]]\n\n [[9.95511353e-01 8.55692392e-11 5.62130509e-10 4.48865118e-03]\n  [9.94386613e-01 4.97037138e-14 4.33641133e-13 5.61335962e-03]\n  [9.91215229e-01 1.24396046e-14 4.02682282e-13 8.78479518e-03]\n  [9.86796021e-01 2.03917321e-14 1.29460722e-12 1.32039459e-02]\n  [9.88047004e-01 4.13990233e-15 4.46116044e-13 1.19530382e-02]]\n\n ...\n\n [[9.05345798e-01 2.95857553e-05 9.07751746e-05 9.45338830e-02]\n  [8.98646295e-01 8.05896946e-07 3.69880945e-06 1.01349063e-01]\n  [9.01979327e-01 3.50831499e-07 2.45978958e-06 9.80179086e-02]\n  [9.00377750e-01 5.06753281e-07 3.98957400e-06 9.96176824e-02]\n  [8.96519721e-01 6.64211086e-07 5.09263737e-06 1.03474513e-01]]\n\n [[8.85417581e-01 8.05847449e-05 2.31505663e-04 1.14270411e-01]\n  [8.88281405e-01 2.76039714e-06 1.10499641e-05 1.11704886e-01]\n  [9.00057733e-01 1.20404252e-06 6.86424028e-06 9.99342948e-02]\n  [8.95217538e-01 1.49638015e-06 9.27045858e-06 1.04771681e-01]\n  [8.90492499e-01 1.67666053e-06 1.10622877e-05 1.09494731e-01]]\n\n [[8.38042259e-01 1.05624564e-03 2.45997356e-03 1.58441409e-01]\n  [8.83439600e-01 1.16834308e-04 3.12891818e-04 1.16130702e-01]\n  [8.95680249e-01 8.19617853e-05 2.43567716e-04 1.03994176e-01]\n  [8.89934778e-01 9.91074121e-05 3.04652960e-04 1.09661400e-01]\n  [8.81797671e-01 1.08298824e-04 3.38177953e-04 1.17755920e-01]]]\nPredicted mask after argmax for 2008_000669: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000669 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000669. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000670.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000670: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70768392e-01 1.33992842e-06 2.81483312e-06 2.92273555e-02]\n  [9.85659719e-01 3.12317683e-09 6.11683149e-09 1.43402517e-02]\n  [9.89880323e-01 2.30925057e-10 7.52550910e-10 1.01196626e-02]\n  [9.90194619e-01 1.30402231e-10 5.64584046e-10 9.80537105e-03]\n  [9.90937293e-01 6.42403422e-11 3.18862603e-10 9.06269904e-03]]\n\n [[9.89108443e-01 1.57601376e-09 6.79623247e-09 1.08915297e-02]\n  [9.89368498e-01 6.11386809e-13 2.98184069e-12 1.06315706e-02]\n  [9.87651944e-01 5.89439589e-14 6.01301832e-13 1.23480987e-02]\n  [9.85862553e-01 6.92934208e-14 1.15902253e-12 1.41374469e-02]\n  [9.85110581e-01 3.69847619e-14 8.59854722e-13 1.48893790e-02]]\n\n [[9.95363593e-01 7.04136749e-11 5.11143849e-10 4.63632820e-03]\n  [9.94808793e-01 1.99828693e-14 2.16845923e-13 5.19118737e-03]\n  [9.92557526e-01 2.86922437e-15 1.08279935e-13 7.44251302e-03]\n  [9.89171088e-01 4.97422724e-15 3.47830136e-13 1.08289504e-02]\n  [9.88407314e-01 2.52606718e-15 2.63097893e-13 1.15926340e-02]]\n\n ...\n\n [[9.13083851e-01 1.69094656e-05 5.36416010e-05 8.68456364e-02]\n  [9.07477379e-01 3.53986678e-07 1.83419854e-06 9.25204977e-02]\n  [9.08882558e-01 1.44469595e-07 1.12011082e-06 9.11161974e-02]\n  [9.09636796e-01 2.09453177e-07 1.84551607e-06 9.03611630e-02]\n  [9.08038616e-01 2.48418417e-07 2.16383773e-06 9.19589922e-02]]\n\n [[9.01380360e-01 3.62218962e-05 1.08437271e-04 9.84749943e-02]\n  [9.03476357e-01 9.24443839e-07 4.06709114e-06 9.65186507e-02]\n  [9.11804318e-01 4.12393376e-07 2.57749321e-06 8.81926492e-02]\n  [9.05278385e-01 5.93032723e-07 4.01475972e-06 9.47170928e-02]\n  [9.01552141e-01 6.77797061e-07 4.95294535e-06 9.84422565e-02]]\n\n [[8.60998511e-01 4.99602698e-04 1.22917548e-03 1.37272641e-01]\n  [9.04818356e-01 4.14644928e-05 1.17988486e-04 9.50222090e-02]\n  [9.15138900e-01 2.98131799e-05 9.32836774e-05 8.47380906e-02]\n  [9.08470333e-01 4.13050693e-05 1.33561189e-04 9.13548470e-02]\n  [8.99542034e-01 4.89492886e-05 1.60638345e-04 1.00248478e-01]]]\nPredicted mask after argmax for 2008_000670: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000670 has shape: (256, 384)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000670. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000670.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000670: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70768392e-01 1.33992842e-06 2.81483312e-06 2.92273555e-02]\n  [9.85659719e-01 3.12317683e-09 6.11683149e-09 1.43402517e-02]\n  [9.89880323e-01 2.30925057e-10 7.52550910e-10 1.01196626e-02]\n  [9.90194619e-01 1.30402231e-10 5.64584046e-10 9.80537105e-03]\n  [9.90937293e-01 6.42403422e-11 3.18862603e-10 9.06269904e-03]]\n\n [[9.89108443e-01 1.57601376e-09 6.79623247e-09 1.08915297e-02]\n  [9.89368498e-01 6.11386809e-13 2.98184069e-12 1.06315706e-02]\n  [9.87651944e-01 5.89439589e-14 6.01301832e-13 1.23480987e-02]\n  [9.85862553e-01 6.92934208e-14 1.15902253e-12 1.41374469e-02]\n  [9.85110581e-01 3.69847619e-14 8.59854722e-13 1.48893790e-02]]\n\n [[9.95363593e-01 7.04136749e-11 5.11143849e-10 4.63632820e-03]\n  [9.94808793e-01 1.99828693e-14 2.16845923e-13 5.19118737e-03]\n  [9.92557526e-01 2.86922437e-15 1.08279935e-13 7.44251302e-03]\n  [9.89171088e-01 4.97422724e-15 3.47830136e-13 1.08289504e-02]\n  [9.88407314e-01 2.52606718e-15 2.63097893e-13 1.15926340e-02]]\n\n ...\n\n [[9.13083851e-01 1.69094656e-05 5.36416010e-05 8.68456364e-02]\n  [9.07477379e-01 3.53986678e-07 1.83419854e-06 9.25204977e-02]\n  [9.08882558e-01 1.44469595e-07 1.12011082e-06 9.11161974e-02]\n  [9.09636796e-01 2.09453177e-07 1.84551607e-06 9.03611630e-02]\n  [9.08038616e-01 2.48418417e-07 2.16383773e-06 9.19589922e-02]]\n\n [[9.01380360e-01 3.62218962e-05 1.08437271e-04 9.84749943e-02]\n  [9.03476357e-01 9.24443839e-07 4.06709114e-06 9.65186507e-02]\n  [9.11804318e-01 4.12393376e-07 2.57749321e-06 8.81926492e-02]\n  [9.05278385e-01 5.93032723e-07 4.01475972e-06 9.47170928e-02]\n  [9.01552141e-01 6.77797061e-07 4.95294535e-06 9.84422565e-02]]\n\n [[8.60998511e-01 4.99602698e-04 1.22917548e-03 1.37272641e-01]\n  [9.04818356e-01 4.14644928e-05 1.17988486e-04 9.50222090e-02]\n  [9.15138900e-01 2.98131799e-05 9.32836774e-05 8.47380906e-02]\n  [9.08470333e-01 4.13050693e-05 1.33561189e-04 9.13548470e-02]\n  [8.99542034e-01 4.89492886e-05 1.60638345e-04 1.00248478e-01]]]\nPredicted mask after argmax for 2008_000670: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000670 has shape: (256, 384)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000670. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000676.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000676: (1, 256, 256, 4)\nSome predicted mask values: [[[9.28939402e-01 5.13933519e-05 8.64446702e-05 7.09227249e-02]\n  [9.48735893e-01 1.02305626e-06 1.72564114e-06 5.12613431e-02]\n  [9.52618957e-01 2.94582833e-07 7.77259345e-07 4.73798811e-02]\n  [9.48804259e-01 2.99062833e-07 1.01743581e-06 5.11944257e-02]\n  [9.48435009e-01 2.00735116e-07 7.95810308e-07 5.15639298e-02]]\n\n [[9.70183015e-01 2.27846243e-07 6.89089404e-07 2.98160799e-02]\n  [9.65684295e-01 1.23927191e-09 4.10164880e-09 3.43156308e-02]\n  [9.59162652e-01 4.09915407e-10 2.71232392e-09 4.08373475e-02]\n  [9.52669144e-01 6.96276203e-10 6.91353774e-09 4.73308563e-02]\n  [9.52405214e-01 4.24192015e-10 5.70534420e-09 4.75947671e-02]]\n\n [[9.84831095e-01 1.64182694e-08 7.17704864e-08 1.51688326e-02]\n  [9.80633795e-01 6.17436519e-11 3.46324858e-10 1.93662439e-02]\n  [9.73146319e-01 2.64568489e-11 4.06054496e-10 2.68536955e-02]\n  [9.64134336e-01 5.15794629e-11 1.23827670e-09 3.58656161e-02]\n  [9.64834630e-01 2.52877025e-11 8.50899573e-10 3.51653807e-02]]\n\n ...\n\n [[8.92392933e-01 4.50447769e-05 1.28602158e-04 1.07433401e-01]\n  [8.90069246e-01 1.08745826e-06 5.17020180e-06 1.09924495e-01]\n  [8.96862984e-01 3.82519858e-07 2.61188848e-06 1.03134021e-01]\n  [8.99091661e-01 4.67406551e-07 3.63419144e-06 1.00904278e-01]\n  [8.97107065e-01 5.39164489e-07 4.12385498e-06 1.02888189e-01]]\n\n [[8.86277735e-01 7.13502377e-05 1.95581961e-04 1.13455445e-01]\n  [8.91691208e-01 2.03310856e-06 8.27865733e-06 1.08298540e-01]\n  [9.02603686e-01 8.47309650e-07 4.74005083e-06 9.73907858e-02]\n  [8.98055494e-01 1.10989936e-06 6.70645659e-06 1.01936683e-01]\n  [8.91911030e-01 1.26845055e-06 8.02522391e-06 1.08079724e-01]]\n\n [[8.49699616e-01 7.02959660e-04 1.63577823e-03 1.47961572e-01]\n  [8.99820805e-01 5.95084421e-05 1.61597287e-04 9.99581814e-02]\n  [9.12324965e-01 4.08478300e-05 1.19629389e-04 8.75145569e-02]\n  [9.07151759e-01 5.40196124e-05 1.62582786e-04 9.26316902e-02]\n  [8.99510860e-01 6.37627891e-05 1.92694628e-04 1.00232676e-01]]]\nPredicted mask after argmax for 2008_000676: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000676 has shape: (483, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000676. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000676.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000676: (1, 256, 256, 4)\nSome predicted mask values: [[[9.28939402e-01 5.13933519e-05 8.64446702e-05 7.09227249e-02]\n  [9.48735893e-01 1.02305626e-06 1.72564114e-06 5.12613431e-02]\n  [9.52618957e-01 2.94582833e-07 7.77259345e-07 4.73798811e-02]\n  [9.48804259e-01 2.99062833e-07 1.01743581e-06 5.11944257e-02]\n  [9.48435009e-01 2.00735116e-07 7.95810308e-07 5.15639298e-02]]\n\n [[9.70183015e-01 2.27846243e-07 6.89089404e-07 2.98160799e-02]\n  [9.65684295e-01 1.23927191e-09 4.10164880e-09 3.43156308e-02]\n  [9.59162652e-01 4.09915407e-10 2.71232392e-09 4.08373475e-02]\n  [9.52669144e-01 6.96276203e-10 6.91353774e-09 4.73308563e-02]\n  [9.52405214e-01 4.24192015e-10 5.70534420e-09 4.75947671e-02]]\n\n [[9.84831095e-01 1.64182694e-08 7.17704864e-08 1.51688326e-02]\n  [9.80633795e-01 6.17436519e-11 3.46324858e-10 1.93662439e-02]\n  [9.73146319e-01 2.64568489e-11 4.06054496e-10 2.68536955e-02]\n  [9.64134336e-01 5.15794629e-11 1.23827670e-09 3.58656161e-02]\n  [9.64834630e-01 2.52877025e-11 8.50899573e-10 3.51653807e-02]]\n\n ...\n\n [[8.92392933e-01 4.50447769e-05 1.28602158e-04 1.07433401e-01]\n  [8.90069246e-01 1.08745826e-06 5.17020180e-06 1.09924495e-01]\n  [8.96862984e-01 3.82519858e-07 2.61188848e-06 1.03134021e-01]\n  [8.99091661e-01 4.67406551e-07 3.63419144e-06 1.00904278e-01]\n  [8.97107065e-01 5.39164489e-07 4.12385498e-06 1.02888189e-01]]\n\n [[8.86277735e-01 7.13502377e-05 1.95581961e-04 1.13455445e-01]\n  [8.91691208e-01 2.03310856e-06 8.27865733e-06 1.08298540e-01]\n  [9.02603686e-01 8.47309650e-07 4.74005083e-06 9.73907858e-02]\n  [8.98055494e-01 1.10989936e-06 6.70645659e-06 1.01936683e-01]\n  [8.91911030e-01 1.26845055e-06 8.02522391e-06 1.08079724e-01]]\n\n [[8.49699616e-01 7.02959660e-04 1.63577823e-03 1.47961572e-01]\n  [8.99820805e-01 5.95084421e-05 1.61597287e-04 9.99581814e-02]\n  [9.12324965e-01 4.08478300e-05 1.19629389e-04 8.75145569e-02]\n  [9.07151759e-01 5.40196124e-05 1.62582786e-04 9.26316902e-02]\n  [8.99510860e-01 6.37627891e-05 1.92694628e-04 1.00232676e-01]]]\nPredicted mask after argmax for 2008_000676: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000676 has shape: (483, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000676. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000690.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000690: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86229479e-01 7.21980129e-08 1.74928388e-07 1.37702916e-02]\n  [9.94133294e-01 6.10182807e-11 1.17788904e-10 5.86667843e-03]\n  [9.95977163e-01 2.91158547e-12 1.01807850e-11 4.02280269e-03]\n  [9.96241331e-01 9.69289536e-13 5.41524204e-12 3.75869451e-03]\n  [9.96890724e-01 2.32455900e-13 1.67804561e-12 3.10929376e-03]]\n\n [[9.96213615e-01 1.64693658e-11 9.42482828e-11 3.78637272e-03]\n  [9.95984375e-01 1.44871211e-15 8.50615304e-15 4.01557796e-03]\n  [9.94652152e-01 1.03901945e-16 1.50039541e-15 5.34784002e-03]\n  [9.94012892e-01 8.12171718e-17 2.40498509e-15 5.98715944e-03]\n  [9.94418800e-01 1.79322053e-17 8.89808111e-16 5.58111304e-03]]\n\n [[9.98856783e-01 2.12272447e-13 2.21712947e-12 1.14321930e-03]\n  [9.98613238e-01 1.24569777e-17 1.83895247e-16 1.38678274e-03]\n  [9.97717023e-01 1.47806453e-18 1.13048763e-16 2.28298106e-03]\n  [9.95990634e-01 2.65789157e-18 4.73031690e-16 4.00937535e-03]\n  [9.96091664e-01 5.92541526e-19 2.01909480e-16 3.90836736e-03]]\n\n ...\n\n [[9.10000920e-01 9.69729172e-06 3.56359051e-05 8.99537578e-02]\n  [9.26447868e-01 7.03601089e-08 5.06932508e-07 7.35514686e-02]\n  [9.35853183e-01 1.39875347e-08 1.56340207e-07 6.41467199e-02]\n  [9.40822601e-01 1.24674147e-08 1.57119871e-07 5.91772906e-02]\n  [9.41806555e-01 1.15376020e-08 1.48219314e-07 5.81932850e-02]]\n\n [[8.95833373e-01 2.57096362e-05 8.79438448e-05 1.04052909e-01]\n  [9.16558743e-01 2.95509608e-07 1.68948043e-06 8.34392533e-02]\n  [9.28848445e-01 7.50648042e-08 6.13635621e-07 7.11507872e-02]\n  [9.30058181e-01 6.70788367e-08 6.20379296e-07 6.99409917e-02]\n  [9.30982351e-01 5.87756119e-08 5.92709796e-07 6.90170228e-02]]\n\n [[8.53318989e-01 4.77174442e-04 1.26170891e-03 1.44942120e-01]\n  [9.05182123e-01 2.86288086e-05 8.92388416e-05 9.47000608e-02]\n  [9.22308207e-01 1.36422932e-05 4.96643370e-05 7.76284933e-02]\n  [9.19312418e-01 1.44994028e-05 5.50113036e-05 8.06180611e-02]\n  [9.16629195e-01 1.40506891e-05 5.52621786e-05 8.33013952e-02]]]\nPredicted mask after argmax for 2008_000690: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000690 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000690. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000690.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000690: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86229479e-01 7.21980129e-08 1.74928388e-07 1.37702916e-02]\n  [9.94133294e-01 6.10182807e-11 1.17788904e-10 5.86667843e-03]\n  [9.95977163e-01 2.91158547e-12 1.01807850e-11 4.02280269e-03]\n  [9.96241331e-01 9.69289536e-13 5.41524204e-12 3.75869451e-03]\n  [9.96890724e-01 2.32455900e-13 1.67804561e-12 3.10929376e-03]]\n\n [[9.96213615e-01 1.64693658e-11 9.42482828e-11 3.78637272e-03]\n  [9.95984375e-01 1.44871211e-15 8.50615304e-15 4.01557796e-03]\n  [9.94652152e-01 1.03901945e-16 1.50039541e-15 5.34784002e-03]\n  [9.94012892e-01 8.12171718e-17 2.40498509e-15 5.98715944e-03]\n  [9.94418800e-01 1.79322053e-17 8.89808111e-16 5.58111304e-03]]\n\n [[9.98856783e-01 2.12272447e-13 2.21712947e-12 1.14321930e-03]\n  [9.98613238e-01 1.24569777e-17 1.83895247e-16 1.38678274e-03]\n  [9.97717023e-01 1.47806453e-18 1.13048763e-16 2.28298106e-03]\n  [9.95990634e-01 2.65789157e-18 4.73031690e-16 4.00937535e-03]\n  [9.96091664e-01 5.92541526e-19 2.01909480e-16 3.90836736e-03]]\n\n ...\n\n [[9.10000920e-01 9.69729172e-06 3.56359051e-05 8.99537578e-02]\n  [9.26447868e-01 7.03601089e-08 5.06932508e-07 7.35514686e-02]\n  [9.35853183e-01 1.39875347e-08 1.56340207e-07 6.41467199e-02]\n  [9.40822601e-01 1.24674147e-08 1.57119871e-07 5.91772906e-02]\n  [9.41806555e-01 1.15376020e-08 1.48219314e-07 5.81932850e-02]]\n\n [[8.95833373e-01 2.57096362e-05 8.79438448e-05 1.04052909e-01]\n  [9.16558743e-01 2.95509608e-07 1.68948043e-06 8.34392533e-02]\n  [9.28848445e-01 7.50648042e-08 6.13635621e-07 7.11507872e-02]\n  [9.30058181e-01 6.70788367e-08 6.20379296e-07 6.99409917e-02]\n  [9.30982351e-01 5.87756119e-08 5.92709796e-07 6.90170228e-02]]\n\n [[8.53318989e-01 4.77174442e-04 1.26170891e-03 1.44942120e-01]\n  [9.05182123e-01 2.86288086e-05 8.92388416e-05 9.47000608e-02]\n  [9.22308207e-01 1.36422932e-05 4.96643370e-05 7.76284933e-02]\n  [9.19312418e-01 1.44994028e-05 5.50113036e-05 8.06180611e-02]\n  [9.16629195e-01 1.40506891e-05 5.52621786e-05 8.33013952e-02]]]\nPredicted mask after argmax for 2008_000690: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000690 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000690. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000696.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000696: (1, 256, 256, 4)\nSome predicted mask values: [[[9.90327299e-01 1.61876965e-08 4.32185168e-08 9.67268739e-03]\n  [9.96428072e-01 5.12836128e-12 1.16395652e-11 3.57189355e-03]\n  [9.97828186e-01 1.78847795e-13 7.09437500e-13 2.17179977e-03]\n  [9.97873902e-01 9.60709106e-14 5.46698862e-13 2.12608068e-03]\n  [9.97937381e-01 5.26028060e-14 3.54722897e-13 2.06258544e-03]]\n\n [[9.97454107e-01 2.11851175e-12 1.40686395e-11 2.54594767e-03]\n  [9.97485280e-01 6.74232072e-17 4.90881798e-16 2.51472695e-03]\n  [9.96838212e-01 4.01773494e-18 6.62819759e-17 3.16175935e-03]\n  [9.96053934e-01 7.14194193e-18 2.12029248e-16 3.94607196e-03]\n  [9.95492578e-01 5.36681316e-18 2.35437678e-16 4.50740010e-03]]\n\n [[9.99201000e-01 3.60642539e-14 4.48440330e-13 7.99016561e-04]\n  [9.99061048e-01 9.79313706e-19 1.84342212e-17 9.38906043e-04]\n  [9.98448610e-01 1.21732642e-19 1.08719590e-17 1.55134243e-03]\n  [9.97061074e-01 5.38066203e-19 9.90744064e-17 2.93889618e-03]\n  [9.96219397e-01 4.77094306e-19 1.36568062e-16 3.78052960e-03]]\n\n ...\n\n [[9.02930379e-01 2.11145416e-05 6.85985506e-05 9.69799161e-02]\n  [9.04652774e-01 3.63215122e-07 2.05587276e-06 9.53448340e-02]\n  [9.11022246e-01 1.20940555e-07 9.98991595e-07 8.89766514e-02]\n  [9.12945926e-01 1.61327620e-07 1.47157380e-06 8.70524943e-02]\n  [9.11846280e-01 1.87864003e-07 1.69628038e-06 8.81518498e-02]]\n\n [[8.87441278e-01 5.19969726e-05 1.58945870e-04 1.12347774e-01]\n  [8.96510065e-01 1.15856244e-06 5.45259127e-06 1.03483267e-01]\n  [9.10105288e-01 4.07947113e-07 2.65434892e-06 8.98916498e-02]\n  [9.06995595e-01 4.84697409e-07 3.46191041e-06 9.30005386e-02]\n  [9.04702902e-01 5.27808083e-07 4.04002913e-06 9.52925086e-02]]\n\n [[8.45113873e-01 7.25957390e-04 1.77517370e-03 1.52385041e-01]\n  [8.95664275e-01 5.86306851e-05 1.67766237e-04 1.04109414e-01]\n  [9.11792934e-01 3.38366081e-05 1.09413049e-04 8.80637616e-02]\n  [9.06980217e-01 3.95928837e-05 1.32480069e-04 9.28477570e-02]\n  [8.99842978e-01 4.54169312e-05 1.54904497e-04 9.99567658e-02]]]\nPredicted mask after argmax for 2008_000696: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000696 has shape: (286, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000696. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000696.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000696: (1, 256, 256, 4)\nSome predicted mask values: [[[9.90327299e-01 1.61876965e-08 4.32185168e-08 9.67268739e-03]\n  [9.96428072e-01 5.12836128e-12 1.16395652e-11 3.57189355e-03]\n  [9.97828186e-01 1.78847795e-13 7.09437500e-13 2.17179977e-03]\n  [9.97873902e-01 9.60709106e-14 5.46698862e-13 2.12608068e-03]\n  [9.97937381e-01 5.26028060e-14 3.54722897e-13 2.06258544e-03]]\n\n [[9.97454107e-01 2.11851175e-12 1.40686395e-11 2.54594767e-03]\n  [9.97485280e-01 6.74232072e-17 4.90881798e-16 2.51472695e-03]\n  [9.96838212e-01 4.01773494e-18 6.62819759e-17 3.16175935e-03]\n  [9.96053934e-01 7.14194193e-18 2.12029248e-16 3.94607196e-03]\n  [9.95492578e-01 5.36681316e-18 2.35437678e-16 4.50740010e-03]]\n\n [[9.99201000e-01 3.60642539e-14 4.48440330e-13 7.99016561e-04]\n  [9.99061048e-01 9.79313706e-19 1.84342212e-17 9.38906043e-04]\n  [9.98448610e-01 1.21732642e-19 1.08719590e-17 1.55134243e-03]\n  [9.97061074e-01 5.38066203e-19 9.90744064e-17 2.93889618e-03]\n  [9.96219397e-01 4.77094306e-19 1.36568062e-16 3.78052960e-03]]\n\n ...\n\n [[9.02930379e-01 2.11145416e-05 6.85985506e-05 9.69799161e-02]\n  [9.04652774e-01 3.63215122e-07 2.05587276e-06 9.53448340e-02]\n  [9.11022246e-01 1.20940555e-07 9.98991595e-07 8.89766514e-02]\n  [9.12945926e-01 1.61327620e-07 1.47157380e-06 8.70524943e-02]\n  [9.11846280e-01 1.87864003e-07 1.69628038e-06 8.81518498e-02]]\n\n [[8.87441278e-01 5.19969726e-05 1.58945870e-04 1.12347774e-01]\n  [8.96510065e-01 1.15856244e-06 5.45259127e-06 1.03483267e-01]\n  [9.10105288e-01 4.07947113e-07 2.65434892e-06 8.98916498e-02]\n  [9.06995595e-01 4.84697409e-07 3.46191041e-06 9.30005386e-02]\n  [9.04702902e-01 5.27808083e-07 4.04002913e-06 9.52925086e-02]]\n\n [[8.45113873e-01 7.25957390e-04 1.77517370e-03 1.52385041e-01]\n  [8.95664275e-01 5.86306851e-05 1.67766237e-04 1.04109414e-01]\n  [9.11792934e-01 3.38366081e-05 1.09413049e-04 8.80637616e-02]\n  [9.06980217e-01 3.95928837e-05 1.32480069e-04 9.28477570e-02]\n  [8.99842978e-01 4.54169312e-05 1.54904497e-04 9.99567658e-02]]]\nPredicted mask after argmax for 2008_000696: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000696 has shape: (286, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000696. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000696.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000696: (1, 256, 256, 4)\nSome predicted mask values: [[[9.90327299e-01 1.61876965e-08 4.32185168e-08 9.67268739e-03]\n  [9.96428072e-01 5.12836128e-12 1.16395652e-11 3.57189355e-03]\n  [9.97828186e-01 1.78847795e-13 7.09437500e-13 2.17179977e-03]\n  [9.97873902e-01 9.60709106e-14 5.46698862e-13 2.12608068e-03]\n  [9.97937381e-01 5.26028060e-14 3.54722897e-13 2.06258544e-03]]\n\n [[9.97454107e-01 2.11851175e-12 1.40686395e-11 2.54594767e-03]\n  [9.97485280e-01 6.74232072e-17 4.90881798e-16 2.51472695e-03]\n  [9.96838212e-01 4.01773494e-18 6.62819759e-17 3.16175935e-03]\n  [9.96053934e-01 7.14194193e-18 2.12029248e-16 3.94607196e-03]\n  [9.95492578e-01 5.36681316e-18 2.35437678e-16 4.50740010e-03]]\n\n [[9.99201000e-01 3.60642539e-14 4.48440330e-13 7.99016561e-04]\n  [9.99061048e-01 9.79313706e-19 1.84342212e-17 9.38906043e-04]\n  [9.98448610e-01 1.21732642e-19 1.08719590e-17 1.55134243e-03]\n  [9.97061074e-01 5.38066203e-19 9.90744064e-17 2.93889618e-03]\n  [9.96219397e-01 4.77094306e-19 1.36568062e-16 3.78052960e-03]]\n\n ...\n\n [[9.02930379e-01 2.11145416e-05 6.85985506e-05 9.69799161e-02]\n  [9.04652774e-01 3.63215122e-07 2.05587276e-06 9.53448340e-02]\n  [9.11022246e-01 1.20940555e-07 9.98991595e-07 8.89766514e-02]\n  [9.12945926e-01 1.61327620e-07 1.47157380e-06 8.70524943e-02]\n  [9.11846280e-01 1.87864003e-07 1.69628038e-06 8.81518498e-02]]\n\n [[8.87441278e-01 5.19969726e-05 1.58945870e-04 1.12347774e-01]\n  [8.96510065e-01 1.15856244e-06 5.45259127e-06 1.03483267e-01]\n  [9.10105288e-01 4.07947113e-07 2.65434892e-06 8.98916498e-02]\n  [9.06995595e-01 4.84697409e-07 3.46191041e-06 9.30005386e-02]\n  [9.04702902e-01 5.27808083e-07 4.04002913e-06 9.52925086e-02]]\n\n [[8.45113873e-01 7.25957390e-04 1.77517370e-03 1.52385041e-01]\n  [8.95664275e-01 5.86306851e-05 1.67766237e-04 1.04109414e-01]\n  [9.11792934e-01 3.38366081e-05 1.09413049e-04 8.80637616e-02]\n  [9.06980217e-01 3.95928837e-05 1.32480069e-04 9.28477570e-02]\n  [8.99842978e-01 4.54169312e-05 1.54904497e-04 9.99567658e-02]]]\nPredicted mask after argmax for 2008_000696: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000696 has shape: (286, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000696. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000706.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000706: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68182921e-01 2.68615690e-06 4.67352629e-06 3.18098105e-02]\n  [9.74290252e-01 4.03015576e-08 6.44788969e-08 2.57095881e-02]\n  [9.66650009e-01 2.62335487e-08 8.97381085e-08 3.33499014e-02]\n  [9.53213692e-01 5.37290035e-08 2.97587064e-07 4.67859805e-02]\n  [9.51296866e-01 2.57800306e-08 1.99352982e-07 4.87028658e-02]]\n\n [[9.92128491e-01 1.27401201e-09 4.50366278e-09 7.87146948e-03]\n  [9.87312853e-01 3.90595455e-12 1.29864028e-11 1.26871802e-02]\n  [9.77514923e-01 3.98321306e-12 4.28654161e-11 2.24850830e-02]\n  [9.69651461e-01 1.47406774e-11 3.17740251e-10 3.03485375e-02]\n  [9.71203685e-01 4.94348876e-12 1.78027051e-10 2.87963059e-02]]\n\n [[9.97349381e-01 2.07921805e-11 1.10598697e-10 2.65066605e-03]\n  [9.95322466e-01 3.61260738e-14 1.97238588e-13 4.67748474e-03]\n  [9.89874721e-01 4.55612788e-14 1.23081699e-12 1.01252869e-02]\n  [9.81845021e-01 2.13452642e-13 1.09753370e-11 1.81550160e-02]\n  [9.84155178e-01 5.33681071e-14 4.32874960e-12 1.58447959e-02]]\n\n ...\n\n [[9.03052270e-01 1.33121976e-05 4.67416867e-05 9.68876407e-02]\n  [9.17977810e-01 8.00012145e-08 5.70516590e-07 8.20215121e-02]\n  [9.38092411e-01 6.86914836e-09 8.41931183e-08 6.19074591e-02]\n  [9.47248697e-01 3.03838865e-09 4.76592916e-08 5.27513511e-02]\n  [9.51283455e-01 1.73727288e-09 2.98497191e-08 4.87165302e-02]]\n\n [[8.89496267e-01 3.26820664e-05 1.06960855e-04 1.10364124e-01]\n  [9.11273837e-01 3.22753834e-07 1.79505730e-06 8.87239948e-02]\n  [9.34548557e-01 3.96398043e-08 3.48811113e-07 6.54511303e-02]\n  [9.39624310e-01 1.95849417e-08 2.07884696e-07 6.03754595e-02]\n  [9.42839503e-01 1.10438050e-08 1.35370840e-07 5.71603701e-02]]\n\n [[8.53289366e-01 4.98792913e-04 1.28447730e-03 1.44927204e-01]\n  [9.12918389e-01 2.45546071e-05 7.82987918e-05 8.69788304e-02]\n  [9.32784855e-01 8.18359877e-06 3.11076947e-05 6.71757534e-02]\n  [9.37873065e-01 5.73154693e-06 2.39826004e-05 6.20971359e-02]\n  [9.39125061e-01 4.17297906e-06 1.87163405e-05 6.08520396e-02]]]\nPredicted mask after argmax for 2008_000706: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000706 has shape: (360, 480)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000706. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000706.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000706: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68182921e-01 2.68615690e-06 4.67352629e-06 3.18098105e-02]\n  [9.74290252e-01 4.03015576e-08 6.44788969e-08 2.57095881e-02]\n  [9.66650009e-01 2.62335487e-08 8.97381085e-08 3.33499014e-02]\n  [9.53213692e-01 5.37290035e-08 2.97587064e-07 4.67859805e-02]\n  [9.51296866e-01 2.57800306e-08 1.99352982e-07 4.87028658e-02]]\n\n [[9.92128491e-01 1.27401201e-09 4.50366278e-09 7.87146948e-03]\n  [9.87312853e-01 3.90595455e-12 1.29864028e-11 1.26871802e-02]\n  [9.77514923e-01 3.98321306e-12 4.28654161e-11 2.24850830e-02]\n  [9.69651461e-01 1.47406774e-11 3.17740251e-10 3.03485375e-02]\n  [9.71203685e-01 4.94348876e-12 1.78027051e-10 2.87963059e-02]]\n\n [[9.97349381e-01 2.07921805e-11 1.10598697e-10 2.65066605e-03]\n  [9.95322466e-01 3.61260738e-14 1.97238588e-13 4.67748474e-03]\n  [9.89874721e-01 4.55612788e-14 1.23081699e-12 1.01252869e-02]\n  [9.81845021e-01 2.13452642e-13 1.09753370e-11 1.81550160e-02]\n  [9.84155178e-01 5.33681071e-14 4.32874960e-12 1.58447959e-02]]\n\n ...\n\n [[9.03052270e-01 1.33121976e-05 4.67416867e-05 9.68876407e-02]\n  [9.17977810e-01 8.00012145e-08 5.70516590e-07 8.20215121e-02]\n  [9.38092411e-01 6.86914836e-09 8.41931183e-08 6.19074591e-02]\n  [9.47248697e-01 3.03838865e-09 4.76592916e-08 5.27513511e-02]\n  [9.51283455e-01 1.73727288e-09 2.98497191e-08 4.87165302e-02]]\n\n [[8.89496267e-01 3.26820664e-05 1.06960855e-04 1.10364124e-01]\n  [9.11273837e-01 3.22753834e-07 1.79505730e-06 8.87239948e-02]\n  [9.34548557e-01 3.96398043e-08 3.48811113e-07 6.54511303e-02]\n  [9.39624310e-01 1.95849417e-08 2.07884696e-07 6.03754595e-02]\n  [9.42839503e-01 1.10438050e-08 1.35370840e-07 5.71603701e-02]]\n\n [[8.53289366e-01 4.98792913e-04 1.28447730e-03 1.44927204e-01]\n  [9.12918389e-01 2.45546071e-05 7.82987918e-05 8.69788304e-02]\n  [9.32784855e-01 8.18359877e-06 3.11076947e-05 6.71757534e-02]\n  [9.37873065e-01 5.73154693e-06 2.39826004e-05 6.20971359e-02]\n  [9.39125061e-01 4.17297906e-06 1.87163405e-05 6.08520396e-02]]]\nPredicted mask after argmax for 2008_000706: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000706 has shape: (360, 480)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000706. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000706.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000706: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68182921e-01 2.68615690e-06 4.67352629e-06 3.18098105e-02]\n  [9.74290252e-01 4.03015576e-08 6.44788969e-08 2.57095881e-02]\n  [9.66650009e-01 2.62335487e-08 8.97381085e-08 3.33499014e-02]\n  [9.53213692e-01 5.37290035e-08 2.97587064e-07 4.67859805e-02]\n  [9.51296866e-01 2.57800306e-08 1.99352982e-07 4.87028658e-02]]\n\n [[9.92128491e-01 1.27401201e-09 4.50366278e-09 7.87146948e-03]\n  [9.87312853e-01 3.90595455e-12 1.29864028e-11 1.26871802e-02]\n  [9.77514923e-01 3.98321306e-12 4.28654161e-11 2.24850830e-02]\n  [9.69651461e-01 1.47406774e-11 3.17740251e-10 3.03485375e-02]\n  [9.71203685e-01 4.94348876e-12 1.78027051e-10 2.87963059e-02]]\n\n [[9.97349381e-01 2.07921805e-11 1.10598697e-10 2.65066605e-03]\n  [9.95322466e-01 3.61260738e-14 1.97238588e-13 4.67748474e-03]\n  [9.89874721e-01 4.55612788e-14 1.23081699e-12 1.01252869e-02]\n  [9.81845021e-01 2.13452642e-13 1.09753370e-11 1.81550160e-02]\n  [9.84155178e-01 5.33681071e-14 4.32874960e-12 1.58447959e-02]]\n\n ...\n\n [[9.03052270e-01 1.33121976e-05 4.67416867e-05 9.68876407e-02]\n  [9.17977810e-01 8.00012145e-08 5.70516590e-07 8.20215121e-02]\n  [9.38092411e-01 6.86914836e-09 8.41931183e-08 6.19074591e-02]\n  [9.47248697e-01 3.03838865e-09 4.76592916e-08 5.27513511e-02]\n  [9.51283455e-01 1.73727288e-09 2.98497191e-08 4.87165302e-02]]\n\n [[8.89496267e-01 3.26820664e-05 1.06960855e-04 1.10364124e-01]\n  [9.11273837e-01 3.22753834e-07 1.79505730e-06 8.87239948e-02]\n  [9.34548557e-01 3.96398043e-08 3.48811113e-07 6.54511303e-02]\n  [9.39624310e-01 1.95849417e-08 2.07884696e-07 6.03754595e-02]\n  [9.42839503e-01 1.10438050e-08 1.35370840e-07 5.71603701e-02]]\n\n [[8.53289366e-01 4.98792913e-04 1.28447730e-03 1.44927204e-01]\n  [9.12918389e-01 2.45546071e-05 7.82987918e-05 8.69788304e-02]\n  [9.32784855e-01 8.18359877e-06 3.11076947e-05 6.71757534e-02]\n  [9.37873065e-01 5.73154693e-06 2.39826004e-05 6.20971359e-02]\n  [9.39125061e-01 4.17297906e-06 1.87163405e-05 6.08520396e-02]]]\nPredicted mask after argmax for 2008_000706: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000706 has shape: (360, 480)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000706. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000706.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000706: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68182921e-01 2.68615690e-06 4.67352629e-06 3.18098105e-02]\n  [9.74290252e-01 4.03015576e-08 6.44788969e-08 2.57095881e-02]\n  [9.66650009e-01 2.62335487e-08 8.97381085e-08 3.33499014e-02]\n  [9.53213692e-01 5.37290035e-08 2.97587064e-07 4.67859805e-02]\n  [9.51296866e-01 2.57800306e-08 1.99352982e-07 4.87028658e-02]]\n\n [[9.92128491e-01 1.27401201e-09 4.50366278e-09 7.87146948e-03]\n  [9.87312853e-01 3.90595455e-12 1.29864028e-11 1.26871802e-02]\n  [9.77514923e-01 3.98321306e-12 4.28654161e-11 2.24850830e-02]\n  [9.69651461e-01 1.47406774e-11 3.17740251e-10 3.03485375e-02]\n  [9.71203685e-01 4.94348876e-12 1.78027051e-10 2.87963059e-02]]\n\n [[9.97349381e-01 2.07921805e-11 1.10598697e-10 2.65066605e-03]\n  [9.95322466e-01 3.61260738e-14 1.97238588e-13 4.67748474e-03]\n  [9.89874721e-01 4.55612788e-14 1.23081699e-12 1.01252869e-02]\n  [9.81845021e-01 2.13452642e-13 1.09753370e-11 1.81550160e-02]\n  [9.84155178e-01 5.33681071e-14 4.32874960e-12 1.58447959e-02]]\n\n ...\n\n [[9.03052270e-01 1.33121976e-05 4.67416867e-05 9.68876407e-02]\n  [9.17977810e-01 8.00012145e-08 5.70516590e-07 8.20215121e-02]\n  [9.38092411e-01 6.86914836e-09 8.41931183e-08 6.19074591e-02]\n  [9.47248697e-01 3.03838865e-09 4.76592916e-08 5.27513511e-02]\n  [9.51283455e-01 1.73727288e-09 2.98497191e-08 4.87165302e-02]]\n\n [[8.89496267e-01 3.26820664e-05 1.06960855e-04 1.10364124e-01]\n  [9.11273837e-01 3.22753834e-07 1.79505730e-06 8.87239948e-02]\n  [9.34548557e-01 3.96398043e-08 3.48811113e-07 6.54511303e-02]\n  [9.39624310e-01 1.95849417e-08 2.07884696e-07 6.03754595e-02]\n  [9.42839503e-01 1.10438050e-08 1.35370840e-07 5.71603701e-02]]\n\n [[8.53289366e-01 4.98792913e-04 1.28447730e-03 1.44927204e-01]\n  [9.12918389e-01 2.45546071e-05 7.82987918e-05 8.69788304e-02]\n  [9.32784855e-01 8.18359877e-06 3.11076947e-05 6.71757534e-02]\n  [9.37873065e-01 5.73154693e-06 2.39826004e-05 6.20971359e-02]\n  [9.39125061e-01 4.17297906e-06 1.87163405e-05 6.08520396e-02]]]\nPredicted mask after argmax for 2008_000706: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000706 has shape: (360, 480)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000706. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000711.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000711: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9365586e-01 2.1778066e-09 6.8378387e-09 6.3440716e-03]\n  [9.9831676e-01 1.1255946e-13 3.2944662e-13 1.6832447e-03]\n  [9.9927717e-01 4.9310674e-16 3.0693490e-15 7.2284188e-04]\n  [9.9952030e-01 2.8201138e-17 3.1685525e-16 4.7970196e-04]\n  [9.9971479e-01 1.4895059e-18 2.3572196e-17 2.8514469e-04]]\n\n [[9.9854302e-01 7.6192321e-14 7.2548526e-13 1.4569743e-03]\n  [9.9897867e-01 1.4663728e-19 1.8630628e-18 1.0213233e-03]\n  [9.9914145e-01 4.2374341e-22 1.7719613e-20 8.5851358e-04]\n  [9.9924392e-01 3.9289665e-23 4.1016607e-21 7.5605669e-04]\n  [9.9946052e-01 1.2551968e-24 2.5636778e-22 5.3949532e-04]]\n\n [[9.9969381e-01 2.7510124e-16 6.0986889e-15 3.0615053e-04]\n  [9.9975628e-01 1.6167530e-22 8.3950391e-21 2.4369270e-04]\n  [9.9966824e-01 6.2613216e-25 2.7428022e-22 3.3180299e-04]\n  [9.9963629e-01 8.5291240e-26 1.4041799e-22 3.6364881e-04]\n  [9.9973661e-01 2.1969555e-27 9.1567195e-24 2.6339851e-04]]\n\n ...\n\n [[9.2762077e-01 1.2277086e-06 6.0736966e-06 7.2371952e-02]\n  [9.4512743e-01 1.8515097e-09 2.5533282e-08 5.4872572e-02]\n  [9.6568274e-01 4.6226037e-11 1.3549485e-09 3.4317274e-02]\n  [9.7575164e-01 7.1942478e-12 2.8603239e-10 2.4248328e-02]\n  [9.8360455e-01 5.8792527e-13 3.3414774e-11 1.6395511e-02]]\n\n [[9.2331189e-01 2.6532166e-06 1.1912082e-05 7.6673552e-02]\n  [9.4444066e-01 6.5879013e-09 6.2102018e-08 5.5559251e-02]\n  [9.6298140e-01 2.8864330e-10 4.9735944e-09 3.7018653e-02]\n  [9.7101158e-01 6.0604320e-11 1.5137445e-09 2.8988434e-02]\n  [9.7904199e-01 7.3429882e-12 2.6762434e-10 2.0958057e-02]]\n\n [[8.9973027e-01 6.6311703e-05 2.2595735e-04 9.9977508e-02]\n  [9.5123041e-01 1.0710596e-06 4.8962779e-06 4.8763689e-02]\n  [9.6918845e-01 1.6393044e-07 9.6111967e-07 3.0810548e-02]\n  [9.7319782e-01 7.4692011e-08 5.0793426e-07 2.6801659e-02]\n  [9.7835559e-01 2.3176725e-08 1.9063683e-07 2.1644095e-02]]]\nPredicted mask after argmax for 2008_000711: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000711 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000711. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000711.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000711: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9365586e-01 2.1778066e-09 6.8378387e-09 6.3440716e-03]\n  [9.9831676e-01 1.1255946e-13 3.2944662e-13 1.6832447e-03]\n  [9.9927717e-01 4.9310674e-16 3.0693490e-15 7.2284188e-04]\n  [9.9952030e-01 2.8201138e-17 3.1685525e-16 4.7970196e-04]\n  [9.9971479e-01 1.4895059e-18 2.3572196e-17 2.8514469e-04]]\n\n [[9.9854302e-01 7.6192321e-14 7.2548526e-13 1.4569743e-03]\n  [9.9897867e-01 1.4663728e-19 1.8630628e-18 1.0213233e-03]\n  [9.9914145e-01 4.2374341e-22 1.7719613e-20 8.5851358e-04]\n  [9.9924392e-01 3.9289665e-23 4.1016607e-21 7.5605669e-04]\n  [9.9946052e-01 1.2551968e-24 2.5636778e-22 5.3949532e-04]]\n\n [[9.9969381e-01 2.7510124e-16 6.0986889e-15 3.0615053e-04]\n  [9.9975628e-01 1.6167530e-22 8.3950391e-21 2.4369270e-04]\n  [9.9966824e-01 6.2613216e-25 2.7428022e-22 3.3180299e-04]\n  [9.9963629e-01 8.5291240e-26 1.4041799e-22 3.6364881e-04]\n  [9.9973661e-01 2.1969555e-27 9.1567195e-24 2.6339851e-04]]\n\n ...\n\n [[9.2762077e-01 1.2277086e-06 6.0736966e-06 7.2371952e-02]\n  [9.4512743e-01 1.8515097e-09 2.5533282e-08 5.4872572e-02]\n  [9.6568274e-01 4.6226037e-11 1.3549485e-09 3.4317274e-02]\n  [9.7575164e-01 7.1942478e-12 2.8603239e-10 2.4248328e-02]\n  [9.8360455e-01 5.8792527e-13 3.3414774e-11 1.6395511e-02]]\n\n [[9.2331189e-01 2.6532166e-06 1.1912082e-05 7.6673552e-02]\n  [9.4444066e-01 6.5879013e-09 6.2102018e-08 5.5559251e-02]\n  [9.6298140e-01 2.8864330e-10 4.9735944e-09 3.7018653e-02]\n  [9.7101158e-01 6.0604320e-11 1.5137445e-09 2.8988434e-02]\n  [9.7904199e-01 7.3429882e-12 2.6762434e-10 2.0958057e-02]]\n\n [[8.9973027e-01 6.6311703e-05 2.2595735e-04 9.9977508e-02]\n  [9.5123041e-01 1.0710596e-06 4.8962779e-06 4.8763689e-02]\n  [9.6918845e-01 1.6393044e-07 9.6111967e-07 3.0810548e-02]\n  [9.7319782e-01 7.4692011e-08 5.0793426e-07 2.6801659e-02]\n  [9.7835559e-01 2.3176725e-08 1.9063683e-07 2.1644095e-02]]]\nPredicted mask after argmax for 2008_000711: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000711 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000711. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000711.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000711: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9365586e-01 2.1778066e-09 6.8378387e-09 6.3440716e-03]\n  [9.9831676e-01 1.1255946e-13 3.2944662e-13 1.6832447e-03]\n  [9.9927717e-01 4.9310674e-16 3.0693490e-15 7.2284188e-04]\n  [9.9952030e-01 2.8201138e-17 3.1685525e-16 4.7970196e-04]\n  [9.9971479e-01 1.4895059e-18 2.3572196e-17 2.8514469e-04]]\n\n [[9.9854302e-01 7.6192321e-14 7.2548526e-13 1.4569743e-03]\n  [9.9897867e-01 1.4663728e-19 1.8630628e-18 1.0213233e-03]\n  [9.9914145e-01 4.2374341e-22 1.7719613e-20 8.5851358e-04]\n  [9.9924392e-01 3.9289665e-23 4.1016607e-21 7.5605669e-04]\n  [9.9946052e-01 1.2551968e-24 2.5636778e-22 5.3949532e-04]]\n\n [[9.9969381e-01 2.7510124e-16 6.0986889e-15 3.0615053e-04]\n  [9.9975628e-01 1.6167530e-22 8.3950391e-21 2.4369270e-04]\n  [9.9966824e-01 6.2613216e-25 2.7428022e-22 3.3180299e-04]\n  [9.9963629e-01 8.5291240e-26 1.4041799e-22 3.6364881e-04]\n  [9.9973661e-01 2.1969555e-27 9.1567195e-24 2.6339851e-04]]\n\n ...\n\n [[9.2762077e-01 1.2277086e-06 6.0736966e-06 7.2371952e-02]\n  [9.4512743e-01 1.8515097e-09 2.5533282e-08 5.4872572e-02]\n  [9.6568274e-01 4.6226037e-11 1.3549485e-09 3.4317274e-02]\n  [9.7575164e-01 7.1942478e-12 2.8603239e-10 2.4248328e-02]\n  [9.8360455e-01 5.8792527e-13 3.3414774e-11 1.6395511e-02]]\n\n [[9.2331189e-01 2.6532166e-06 1.1912082e-05 7.6673552e-02]\n  [9.4444066e-01 6.5879013e-09 6.2102018e-08 5.5559251e-02]\n  [9.6298140e-01 2.8864330e-10 4.9735944e-09 3.7018653e-02]\n  [9.7101158e-01 6.0604320e-11 1.5137445e-09 2.8988434e-02]\n  [9.7904199e-01 7.3429882e-12 2.6762434e-10 2.0958057e-02]]\n\n [[8.9973027e-01 6.6311703e-05 2.2595735e-04 9.9977508e-02]\n  [9.5123041e-01 1.0710596e-06 4.8962779e-06 4.8763689e-02]\n  [9.6918845e-01 1.6393044e-07 9.6111967e-07 3.0810548e-02]\n  [9.7319782e-01 7.4692011e-08 5.0793426e-07 2.6801659e-02]\n  [9.7835559e-01 2.3176725e-08 1.9063683e-07 2.1644095e-02]]]\nPredicted mask after argmax for 2008_000711: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000711 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000711. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000721.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000721: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86706734e-01 6.24759409e-08 1.53089644e-07 1.32929962e-02]\n  [9.94488120e-01 4.64320422e-11 9.07626127e-11 5.51186595e-03]\n  [9.96329010e-01 1.95506372e-12 6.93351106e-12 3.67098115e-03]\n  [9.96639967e-01 5.98556252e-13 3.38937103e-12 3.36005283e-03]\n  [9.97253835e-01 1.35872758e-13 9.91669312e-13 2.74614478e-03]]\n\n [[9.96343315e-01 1.35090706e-11 7.86743032e-11 3.65663762e-03]\n  [9.96185601e-01 1.02240762e-15 6.15805573e-15 3.81434872e-03]\n  [9.95014608e-01 6.46189855e-17 9.56502109e-16 4.98540560e-03]\n  [9.94478106e-01 4.70035821e-17 1.42723834e-15 5.52189630e-03]\n  [9.94873106e-01 9.90468133e-18 5.03606245e-16 5.12689957e-03]]\n\n [[9.98902917e-01 1.71071450e-13 1.83198248e-12 1.09708228e-03]\n  [9.98693883e-01 8.56266351e-18 1.31900222e-16 1.30609854e-03]\n  [9.97856438e-01 9.26127130e-19 7.41659534e-17 2.14352855e-03]\n  [9.96259749e-01 1.59359602e-18 2.98504469e-16 3.74018936e-03]\n  [9.96358335e-01 3.48615243e-19 1.25289170e-16 3.64167639e-03]]\n\n ...\n\n [[9.05202687e-01 1.60065374e-05 5.59443361e-05 9.47255194e-02]\n  [9.14410830e-01 1.83732965e-07 1.11097927e-06 8.55878741e-02]\n  [9.22639787e-01 4.52037376e-08 4.36194995e-07 7.73597583e-02]\n  [9.26517129e-01 4.60682870e-08 5.21241873e-07 7.34824017e-02]\n  [9.24771309e-01 5.53302755e-08 6.19665343e-07 7.52279460e-02]]\n\n [[8.87493789e-01 4.52007916e-05 1.46848892e-04 1.12314194e-01]\n  [9.02338505e-01 7.54204393e-07 3.86568854e-06 9.76569131e-02]\n  [9.17984545e-01 2.11993694e-07 1.60664774e-06 8.20135549e-02]\n  [9.16745067e-01 2.07747732e-07 1.74505169e-06 8.32529515e-02]\n  [9.14733171e-01 2.19091049e-07 2.00386080e-06 8.52646232e-02]]\n\n [[8.44315827e-01 7.02778634e-04 1.79560960e-03 1.53185785e-01]\n  [8.94386828e-01 5.22169030e-05 1.60529686e-04 1.05400398e-01]\n  [9.10948813e-01 2.75239217e-05 9.97035313e-05 8.89239907e-02]\n  [9.06827450e-01 3.03901215e-05 1.14342627e-04 9.30278599e-02]\n  [9.00601923e-01 3.34655160e-05 1.28809552e-04 9.92358029e-02]]]\nPredicted mask after argmax for 2008_000721: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000721 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000721. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000721.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000721: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86706734e-01 6.24759409e-08 1.53089644e-07 1.32929962e-02]\n  [9.94488120e-01 4.64320422e-11 9.07626127e-11 5.51186595e-03]\n  [9.96329010e-01 1.95506372e-12 6.93351106e-12 3.67098115e-03]\n  [9.96639967e-01 5.98556252e-13 3.38937103e-12 3.36005283e-03]\n  [9.97253835e-01 1.35872758e-13 9.91669312e-13 2.74614478e-03]]\n\n [[9.96343315e-01 1.35090706e-11 7.86743032e-11 3.65663762e-03]\n  [9.96185601e-01 1.02240762e-15 6.15805573e-15 3.81434872e-03]\n  [9.95014608e-01 6.46189855e-17 9.56502109e-16 4.98540560e-03]\n  [9.94478106e-01 4.70035821e-17 1.42723834e-15 5.52189630e-03]\n  [9.94873106e-01 9.90468133e-18 5.03606245e-16 5.12689957e-03]]\n\n [[9.98902917e-01 1.71071450e-13 1.83198248e-12 1.09708228e-03]\n  [9.98693883e-01 8.56266351e-18 1.31900222e-16 1.30609854e-03]\n  [9.97856438e-01 9.26127130e-19 7.41659534e-17 2.14352855e-03]\n  [9.96259749e-01 1.59359602e-18 2.98504469e-16 3.74018936e-03]\n  [9.96358335e-01 3.48615243e-19 1.25289170e-16 3.64167639e-03]]\n\n ...\n\n [[9.05202687e-01 1.60065374e-05 5.59443361e-05 9.47255194e-02]\n  [9.14410830e-01 1.83732965e-07 1.11097927e-06 8.55878741e-02]\n  [9.22639787e-01 4.52037376e-08 4.36194995e-07 7.73597583e-02]\n  [9.26517129e-01 4.60682870e-08 5.21241873e-07 7.34824017e-02]\n  [9.24771309e-01 5.53302755e-08 6.19665343e-07 7.52279460e-02]]\n\n [[8.87493789e-01 4.52007916e-05 1.46848892e-04 1.12314194e-01]\n  [9.02338505e-01 7.54204393e-07 3.86568854e-06 9.76569131e-02]\n  [9.17984545e-01 2.11993694e-07 1.60664774e-06 8.20135549e-02]\n  [9.16745067e-01 2.07747732e-07 1.74505169e-06 8.32529515e-02]\n  [9.14733171e-01 2.19091049e-07 2.00386080e-06 8.52646232e-02]]\n\n [[8.44315827e-01 7.02778634e-04 1.79560960e-03 1.53185785e-01]\n  [8.94386828e-01 5.22169030e-05 1.60529686e-04 1.05400398e-01]\n  [9.10948813e-01 2.75239217e-05 9.97035313e-05 8.89239907e-02]\n  [9.06827450e-01 3.03901215e-05 1.14342627e-04 9.30278599e-02]\n  [9.00601923e-01 3.34655160e-05 1.28809552e-04 9.92358029e-02]]]\nPredicted mask after argmax for 2008_000721: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000721 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000721. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000724.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000724: (1, 256, 256, 4)\nSome predicted mask values: [[[9.22304451e-01 6.53005191e-05 1.09827692e-04 7.75204301e-02]\n  [9.47621047e-01 9.68265681e-07 1.76934077e-06 5.23761027e-02]\n  [9.55604613e-01 1.96638055e-07 5.51611265e-07 4.43946049e-02]\n  [9.54894543e-01 1.65107821e-07 5.68066923e-07 4.51048277e-02]\n  [9.54968810e-01 1.20321261e-07 4.64775411e-07 4.50306162e-02]]\n\n [[9.65592623e-01 3.48316121e-07 1.05708398e-06 3.44060436e-02]\n  [9.65112567e-01 1.30499445e-09 4.72714579e-09 3.48874405e-02]\n  [9.62496698e-01 2.68958994e-10 1.86220106e-09 3.75033431e-02]\n  [9.58487630e-01 3.53111707e-10 3.43016993e-09 4.15123329e-02]\n  [9.57709491e-01 2.55158561e-10 3.15377147e-09 4.22905497e-02]]\n\n [[9.81122255e-01 3.35178001e-08 1.46278310e-07 1.88776851e-02]\n  [9.78769898e-01 9.08589523e-11 5.52808965e-10 2.12301239e-02]\n  [9.74085689e-01 2.43588708e-11 3.77908621e-10 2.59143151e-02]\n  [9.66967106e-01 4.05377433e-11 9.30507948e-10 3.30328755e-02]\n  [9.66965318e-01 2.66396124e-11 7.87448218e-10 3.30346934e-02]]\n\n ...\n\n [[9.00702894e-01 3.46155139e-05 1.02760634e-04 9.91598144e-02]\n  [8.94762516e-01 8.65883010e-07 4.00509316e-06 1.05232604e-01]\n  [9.00162339e-01 3.04623882e-07 2.18529749e-06 9.98352021e-02]\n  [9.00479913e-01 3.72690920e-07 3.07097844e-06 9.95166674e-02]\n  [8.99616778e-01 3.94783456e-07 3.34523315e-06 1.00379467e-01]]\n\n [[8.85519803e-01 7.84283111e-05 2.20783564e-04 1.14180893e-01]\n  [8.87701929e-01 2.50934136e-06 9.98987434e-06 1.12285666e-01]\n  [9.03189003e-01 9.27915437e-07 5.34709761e-06 9.68046486e-02]\n  [8.98940146e-01 1.00735849e-06 6.42326131e-06 1.01052530e-01]\n  [8.95446360e-01 9.11870643e-07 6.41435281e-06 1.04546279e-01]]\n\n [[8.44150722e-01 9.02483705e-04 2.09081080e-03 1.52856007e-01]\n  [8.93903434e-01 8.62837041e-05 2.34876061e-04 1.05775379e-01]\n  [9.07326460e-01 5.52601086e-05 1.65250662e-04 9.24529657e-02]\n  [9.04811800e-01 6.06032518e-05 1.89079219e-04 9.49384868e-02]\n  [9.01116729e-01 5.69218864e-05 1.83674274e-04 9.86426994e-02]]]\nPredicted mask after argmax for 2008_000724: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000724 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000724. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000724.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000724: (1, 256, 256, 4)\nSome predicted mask values: [[[9.22304451e-01 6.53005191e-05 1.09827692e-04 7.75204301e-02]\n  [9.47621047e-01 9.68265681e-07 1.76934077e-06 5.23761027e-02]\n  [9.55604613e-01 1.96638055e-07 5.51611265e-07 4.43946049e-02]\n  [9.54894543e-01 1.65107821e-07 5.68066923e-07 4.51048277e-02]\n  [9.54968810e-01 1.20321261e-07 4.64775411e-07 4.50306162e-02]]\n\n [[9.65592623e-01 3.48316121e-07 1.05708398e-06 3.44060436e-02]\n  [9.65112567e-01 1.30499445e-09 4.72714579e-09 3.48874405e-02]\n  [9.62496698e-01 2.68958994e-10 1.86220106e-09 3.75033431e-02]\n  [9.58487630e-01 3.53111707e-10 3.43016993e-09 4.15123329e-02]\n  [9.57709491e-01 2.55158561e-10 3.15377147e-09 4.22905497e-02]]\n\n [[9.81122255e-01 3.35178001e-08 1.46278310e-07 1.88776851e-02]\n  [9.78769898e-01 9.08589523e-11 5.52808965e-10 2.12301239e-02]\n  [9.74085689e-01 2.43588708e-11 3.77908621e-10 2.59143151e-02]\n  [9.66967106e-01 4.05377433e-11 9.30507948e-10 3.30328755e-02]\n  [9.66965318e-01 2.66396124e-11 7.87448218e-10 3.30346934e-02]]\n\n ...\n\n [[9.00702894e-01 3.46155139e-05 1.02760634e-04 9.91598144e-02]\n  [8.94762516e-01 8.65883010e-07 4.00509316e-06 1.05232604e-01]\n  [9.00162339e-01 3.04623882e-07 2.18529749e-06 9.98352021e-02]\n  [9.00479913e-01 3.72690920e-07 3.07097844e-06 9.95166674e-02]\n  [8.99616778e-01 3.94783456e-07 3.34523315e-06 1.00379467e-01]]\n\n [[8.85519803e-01 7.84283111e-05 2.20783564e-04 1.14180893e-01]\n  [8.87701929e-01 2.50934136e-06 9.98987434e-06 1.12285666e-01]\n  [9.03189003e-01 9.27915437e-07 5.34709761e-06 9.68046486e-02]\n  [8.98940146e-01 1.00735849e-06 6.42326131e-06 1.01052530e-01]\n  [8.95446360e-01 9.11870643e-07 6.41435281e-06 1.04546279e-01]]\n\n [[8.44150722e-01 9.02483705e-04 2.09081080e-03 1.52856007e-01]\n  [8.93903434e-01 8.62837041e-05 2.34876061e-04 1.05775379e-01]\n  [9.07326460e-01 5.52601086e-05 1.65250662e-04 9.24529657e-02]\n  [9.04811800e-01 6.06032518e-05 1.89079219e-04 9.49384868e-02]\n  [9.01116729e-01 5.69218864e-05 1.83674274e-04 9.86426994e-02]]]\nPredicted mask after argmax for 2008_000724: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000724 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000724. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000724.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000724: (1, 256, 256, 4)\nSome predicted mask values: [[[9.22304451e-01 6.53005191e-05 1.09827692e-04 7.75204301e-02]\n  [9.47621047e-01 9.68265681e-07 1.76934077e-06 5.23761027e-02]\n  [9.55604613e-01 1.96638055e-07 5.51611265e-07 4.43946049e-02]\n  [9.54894543e-01 1.65107821e-07 5.68066923e-07 4.51048277e-02]\n  [9.54968810e-01 1.20321261e-07 4.64775411e-07 4.50306162e-02]]\n\n [[9.65592623e-01 3.48316121e-07 1.05708398e-06 3.44060436e-02]\n  [9.65112567e-01 1.30499445e-09 4.72714579e-09 3.48874405e-02]\n  [9.62496698e-01 2.68958994e-10 1.86220106e-09 3.75033431e-02]\n  [9.58487630e-01 3.53111707e-10 3.43016993e-09 4.15123329e-02]\n  [9.57709491e-01 2.55158561e-10 3.15377147e-09 4.22905497e-02]]\n\n [[9.81122255e-01 3.35178001e-08 1.46278310e-07 1.88776851e-02]\n  [9.78769898e-01 9.08589523e-11 5.52808965e-10 2.12301239e-02]\n  [9.74085689e-01 2.43588708e-11 3.77908621e-10 2.59143151e-02]\n  [9.66967106e-01 4.05377433e-11 9.30507948e-10 3.30328755e-02]\n  [9.66965318e-01 2.66396124e-11 7.87448218e-10 3.30346934e-02]]\n\n ...\n\n [[9.00702894e-01 3.46155139e-05 1.02760634e-04 9.91598144e-02]\n  [8.94762516e-01 8.65883010e-07 4.00509316e-06 1.05232604e-01]\n  [9.00162339e-01 3.04623882e-07 2.18529749e-06 9.98352021e-02]\n  [9.00479913e-01 3.72690920e-07 3.07097844e-06 9.95166674e-02]\n  [8.99616778e-01 3.94783456e-07 3.34523315e-06 1.00379467e-01]]\n\n [[8.85519803e-01 7.84283111e-05 2.20783564e-04 1.14180893e-01]\n  [8.87701929e-01 2.50934136e-06 9.98987434e-06 1.12285666e-01]\n  [9.03189003e-01 9.27915437e-07 5.34709761e-06 9.68046486e-02]\n  [8.98940146e-01 1.00735849e-06 6.42326131e-06 1.01052530e-01]\n  [8.95446360e-01 9.11870643e-07 6.41435281e-06 1.04546279e-01]]\n\n [[8.44150722e-01 9.02483705e-04 2.09081080e-03 1.52856007e-01]\n  [8.93903434e-01 8.62837041e-05 2.34876061e-04 1.05775379e-01]\n  [9.07326460e-01 5.52601086e-05 1.65250662e-04 9.24529657e-02]\n  [9.04811800e-01 6.06032518e-05 1.89079219e-04 9.49384868e-02]\n  [9.01116729e-01 5.69218864e-05 1.83674274e-04 9.86426994e-02]]]\nPredicted mask after argmax for 2008_000724: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000724 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000724. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000761.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000761: (1, 256, 256, 4)\nSome predicted mask values: [[[9.73635972e-01 9.47329397e-07 2.02928550e-06 2.63610948e-02]\n  [9.87133086e-01 2.24304930e-09 4.10259959e-09 1.28669031e-02]\n  [9.91009533e-01 1.50192941e-10 4.53823340e-10 8.99053458e-03]\n  [9.91871953e-01 5.23770888e-11 2.28826985e-10 8.12805258e-03]\n  [9.93415236e-01 1.30411740e-11 6.99903885e-11 6.58470718e-03]]\n\n [[9.90872920e-01 8.20677248e-10 3.69716546e-09 9.12715681e-03]\n  [9.90527630e-01 3.06384909e-13 1.46240019e-12 9.47238039e-03]\n  [9.88560855e-01 2.81293899e-14 2.84397126e-13 1.14392163e-02]\n  [9.87868249e-01 1.96805835e-14 3.52725282e-13 1.21317422e-02]\n  [9.88953114e-01 4.49519877e-15 1.21891023e-13 1.10468343e-02]]\n\n [[9.96480107e-01 2.56242718e-11 1.91307040e-10 3.51981889e-03]\n  [9.95845795e-01 7.16160174e-15 7.46592051e-14 4.15419322e-03]\n  [9.93828475e-01 1.09117399e-15 4.33768046e-14 6.17147703e-03]\n  [9.90849376e-01 1.49350766e-15 1.19146988e-13 9.15058795e-03]\n  [9.91318107e-01 3.57889843e-16 4.80158482e-14 8.68195482e-03]]\n\n ...\n\n [[8.92901123e-01 4.27825362e-05 1.24743106e-04 1.06931306e-01]\n  [8.90411437e-01 1.13513408e-06 5.42678026e-06 1.09581947e-01]\n  [8.94452929e-01 4.94184746e-07 3.28950546e-06 1.05543189e-01]\n  [8.94561410e-01 7.15017222e-07 5.27196789e-06 1.05432682e-01]\n  [8.91419411e-01 9.11980123e-07 6.53854931e-06 1.08573027e-01]]\n\n [[8.84606063e-01 7.50868494e-05 2.09429854e-04 1.15109354e-01]\n  [8.89233828e-01 2.36754545e-06 9.70286328e-06 1.10754095e-01]\n  [8.99093390e-01 1.13061560e-06 6.20171977e-06 1.00899227e-01]\n  [8.92394304e-01 1.61425203e-06 9.39588608e-06 1.07594803e-01]\n  [8.87837946e-01 1.92922562e-06 1.17857717e-05 1.12148441e-01]]\n\n [[8.45256031e-01 7.99828558e-04 1.85665512e-03 1.52087480e-01]\n  [8.93153012e-01 7.65300283e-05 2.04908516e-04 1.06565513e-01]\n  [9.04930294e-01 5.59330510e-05 1.62314449e-04 9.48515013e-02]\n  [8.98473144e-01 7.45364814e-05 2.20315240e-04 1.01232007e-01]\n  [8.90126467e-01 8.80566877e-05 2.60791916e-04 1.09524600e-01]]]\nPredicted mask after argmax for 2008_000761: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000761 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000761. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000761.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000761: (1, 256, 256, 4)\nSome predicted mask values: [[[9.73635972e-01 9.47329397e-07 2.02928550e-06 2.63610948e-02]\n  [9.87133086e-01 2.24304930e-09 4.10259959e-09 1.28669031e-02]\n  [9.91009533e-01 1.50192941e-10 4.53823340e-10 8.99053458e-03]\n  [9.91871953e-01 5.23770888e-11 2.28826985e-10 8.12805258e-03]\n  [9.93415236e-01 1.30411740e-11 6.99903885e-11 6.58470718e-03]]\n\n [[9.90872920e-01 8.20677248e-10 3.69716546e-09 9.12715681e-03]\n  [9.90527630e-01 3.06384909e-13 1.46240019e-12 9.47238039e-03]\n  [9.88560855e-01 2.81293899e-14 2.84397126e-13 1.14392163e-02]\n  [9.87868249e-01 1.96805835e-14 3.52725282e-13 1.21317422e-02]\n  [9.88953114e-01 4.49519877e-15 1.21891023e-13 1.10468343e-02]]\n\n [[9.96480107e-01 2.56242718e-11 1.91307040e-10 3.51981889e-03]\n  [9.95845795e-01 7.16160174e-15 7.46592051e-14 4.15419322e-03]\n  [9.93828475e-01 1.09117399e-15 4.33768046e-14 6.17147703e-03]\n  [9.90849376e-01 1.49350766e-15 1.19146988e-13 9.15058795e-03]\n  [9.91318107e-01 3.57889843e-16 4.80158482e-14 8.68195482e-03]]\n\n ...\n\n [[8.92901123e-01 4.27825362e-05 1.24743106e-04 1.06931306e-01]\n  [8.90411437e-01 1.13513408e-06 5.42678026e-06 1.09581947e-01]\n  [8.94452929e-01 4.94184746e-07 3.28950546e-06 1.05543189e-01]\n  [8.94561410e-01 7.15017222e-07 5.27196789e-06 1.05432682e-01]\n  [8.91419411e-01 9.11980123e-07 6.53854931e-06 1.08573027e-01]]\n\n [[8.84606063e-01 7.50868494e-05 2.09429854e-04 1.15109354e-01]\n  [8.89233828e-01 2.36754545e-06 9.70286328e-06 1.10754095e-01]\n  [8.99093390e-01 1.13061560e-06 6.20171977e-06 1.00899227e-01]\n  [8.92394304e-01 1.61425203e-06 9.39588608e-06 1.07594803e-01]\n  [8.87837946e-01 1.92922562e-06 1.17857717e-05 1.12148441e-01]]\n\n [[8.45256031e-01 7.99828558e-04 1.85665512e-03 1.52087480e-01]\n  [8.93153012e-01 7.65300283e-05 2.04908516e-04 1.06565513e-01]\n  [9.04930294e-01 5.59330510e-05 1.62314449e-04 9.48515013e-02]\n  [8.98473144e-01 7.45364814e-05 2.20315240e-04 1.01232007e-01]\n  [8.90126467e-01 8.80566877e-05 2.60791916e-04 1.09524600e-01]]]\nPredicted mask after argmax for 2008_000761: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000761 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000761. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000765.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000765: (1, 256, 256, 4)\nSome predicted mask values: [[[9.52540219e-01 8.99138649e-06 1.70350122e-05 4.74338420e-02]\n  [9.70739901e-01 6.94458393e-08 1.29143302e-07 2.92598866e-02]\n  [9.75896001e-01 1.24495605e-08 3.65226818e-08 2.41039712e-02]\n  [9.74627495e-01 1.15292798e-08 4.36031797e-08 2.53725257e-02]\n  [9.74379003e-01 8.05761768e-09 3.57425236e-08 2.56209671e-02]]\n\n [[9.80875373e-01 2.23527259e-08 8.10440000e-08 1.91245638e-02]\n  [9.79492188e-01 4.02381947e-11 1.61660255e-10 2.05078367e-02]\n  [9.75982189e-01 9.04773478e-12 7.17016724e-11 2.40178276e-02]\n  [9.72009480e-01 1.56184059e-11 1.85763585e-10 2.79904678e-02]\n  [9.70807195e-01 1.11806822e-11 1.81327536e-10 2.91928723e-02]]\n\n [[9.90781844e-01 1.53502588e-09 8.48866311e-09 9.21810605e-03]\n  [9.88974214e-01 2.01990529e-12 1.53120711e-11 1.10258097e-02]\n  [9.84430373e-01 6.49343155e-13 1.40738809e-11 1.55696142e-02]\n  [9.77227032e-01 1.65940731e-12 5.81374011e-11 2.27729678e-02]\n  [9.76732790e-01 1.05165117e-12 5.06110223e-11 2.32671611e-02]]\n\n ...\n\n [[9.22345996e-01 8.75021396e-06 3.00270003e-05 7.76151866e-02]\n  [9.18916941e-01 1.28073950e-07 7.50566812e-07 8.10822025e-02]\n  [9.21013772e-01 4.41843291e-08 4.03802574e-07 7.89858401e-02]\n  [9.22719240e-01 5.75512118e-08 6.11228018e-07 7.72799253e-02]\n  [9.21780288e-01 6.43698002e-08 6.84235090e-07 7.82189816e-02]]\n\n [[9.10708129e-01 2.08012625e-05 6.61541490e-05 8.92049000e-02]\n  [9.14420903e-01 3.90634938e-07 1.86607656e-06 8.55768621e-02]\n  [9.23424721e-01 1.49748359e-07 1.05381082e-06 7.65740499e-02]\n  [9.18060184e-01 1.97126738e-07 1.53343592e-06 8.19380581e-02]\n  [9.14653599e-01 2.17798757e-07 1.84806140e-06 8.53443071e-02]]\n\n [[8.71974289e-01 3.35336954e-04 8.63011577e-04 1.26827374e-01]\n  [9.16381240e-01 2.18010482e-05 6.61900340e-05 8.35307315e-02]\n  [9.27269578e-01 1.42280733e-05 4.76085406e-05 7.26685971e-02]\n  [9.22458887e-01 1.87875030e-05 6.54398318e-05 7.74568468e-02]\n  [9.15152311e-01 2.19589183e-05 7.80546688e-05 8.47477391e-02]]]\nPredicted mask after argmax for 2008_000765: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000765 has shape: (500, 374)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000765. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000765.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000765: (1, 256, 256, 4)\nSome predicted mask values: [[[9.52540219e-01 8.99138649e-06 1.70350122e-05 4.74338420e-02]\n  [9.70739901e-01 6.94458393e-08 1.29143302e-07 2.92598866e-02]\n  [9.75896001e-01 1.24495605e-08 3.65226818e-08 2.41039712e-02]\n  [9.74627495e-01 1.15292798e-08 4.36031797e-08 2.53725257e-02]\n  [9.74379003e-01 8.05761768e-09 3.57425236e-08 2.56209671e-02]]\n\n [[9.80875373e-01 2.23527259e-08 8.10440000e-08 1.91245638e-02]\n  [9.79492188e-01 4.02381947e-11 1.61660255e-10 2.05078367e-02]\n  [9.75982189e-01 9.04773478e-12 7.17016724e-11 2.40178276e-02]\n  [9.72009480e-01 1.56184059e-11 1.85763585e-10 2.79904678e-02]\n  [9.70807195e-01 1.11806822e-11 1.81327536e-10 2.91928723e-02]]\n\n [[9.90781844e-01 1.53502588e-09 8.48866311e-09 9.21810605e-03]\n  [9.88974214e-01 2.01990529e-12 1.53120711e-11 1.10258097e-02]\n  [9.84430373e-01 6.49343155e-13 1.40738809e-11 1.55696142e-02]\n  [9.77227032e-01 1.65940731e-12 5.81374011e-11 2.27729678e-02]\n  [9.76732790e-01 1.05165117e-12 5.06110223e-11 2.32671611e-02]]\n\n ...\n\n [[9.22345996e-01 8.75021396e-06 3.00270003e-05 7.76151866e-02]\n  [9.18916941e-01 1.28073950e-07 7.50566812e-07 8.10822025e-02]\n  [9.21013772e-01 4.41843291e-08 4.03802574e-07 7.89858401e-02]\n  [9.22719240e-01 5.75512118e-08 6.11228018e-07 7.72799253e-02]\n  [9.21780288e-01 6.43698002e-08 6.84235090e-07 7.82189816e-02]]\n\n [[9.10708129e-01 2.08012625e-05 6.61541490e-05 8.92049000e-02]\n  [9.14420903e-01 3.90634938e-07 1.86607656e-06 8.55768621e-02]\n  [9.23424721e-01 1.49748359e-07 1.05381082e-06 7.65740499e-02]\n  [9.18060184e-01 1.97126738e-07 1.53343592e-06 8.19380581e-02]\n  [9.14653599e-01 2.17798757e-07 1.84806140e-06 8.53443071e-02]]\n\n [[8.71974289e-01 3.35336954e-04 8.63011577e-04 1.26827374e-01]\n  [9.16381240e-01 2.18010482e-05 6.61900340e-05 8.35307315e-02]\n  [9.27269578e-01 1.42280733e-05 4.76085406e-05 7.26685971e-02]\n  [9.22458887e-01 1.87875030e-05 6.54398318e-05 7.74568468e-02]\n  [9.15152311e-01 2.19589183e-05 7.80546688e-05 8.47477391e-02]]]\nPredicted mask after argmax for 2008_000765: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000765 has shape: (500, 374)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000765. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000783.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000783: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79091108e-01 2.26197798e-07 5.40369740e-07 2.09080577e-02]\n  [9.90601182e-01 1.93139393e-10 5.03380115e-10 9.39883478e-03]\n  [9.93662000e-01 1.10366213e-11 5.10081040e-11 6.33795373e-03]\n  [9.93860364e-01 7.29691394e-12 4.45306084e-11 6.13961369e-03]\n  [9.94066238e-01 4.24325505e-12 3.07759061e-11 5.93370385e-03]]\n\n [[9.93149459e-01 9.69387209e-11 5.53344370e-10 6.85058394e-03]\n  [9.93608117e-01 1.14795495e-14 8.41574802e-14 6.39192993e-03]\n  [9.93245602e-01 7.35750394e-16 1.26750095e-14 6.75440719e-03]\n  [9.92409110e-01 9.93522743e-16 2.74288665e-14 7.59086432e-03]\n  [9.92156029e-01 5.91386651e-16 2.34981102e-14 7.84393772e-03]]\n\n [[9.97255504e-01 3.98940473e-12 4.02893344e-11 2.74446211e-03]\n  [9.97046530e-01 3.20406121e-16 5.61119813e-15 2.95348326e-03]\n  [9.95992780e-01 3.23684575e-17 2.13476316e-15 4.00714763e-03]\n  [9.94343817e-01 6.89944798e-17 8.33402324e-15 5.65612549e-03]\n  [9.94097590e-01 3.99204444e-17 7.08609341e-15 5.90242865e-03]]\n\n ...\n\n [[9.33367431e-01 4.26367433e-06 1.53854908e-05 6.66129813e-02]\n  [9.27734137e-01 5.06232674e-08 3.15654319e-07 7.22656101e-02]\n  [9.29031491e-01 1.60264300e-08 1.66421174e-07 7.09682927e-02]\n  [9.30704176e-01 2.13647375e-08 2.63845607e-07 6.92956150e-02]\n  [9.30653989e-01 2.33594886e-08 2.90743088e-07 6.93456754e-02]]\n\n [[9.25760746e-01 8.37077550e-06 2.87886105e-05 7.42020383e-02]\n  [9.27392244e-01 1.20235754e-07 6.26021915e-07 7.26070106e-02]\n  [9.34743941e-01 4.48579875e-08 3.60846627e-07 6.52557760e-02]\n  [9.29138780e-01 6.65068853e-08 5.96331915e-07 7.08605349e-02]\n  [9.24996376e-01 7.84651206e-08 7.71708471e-07 7.50027224e-02]]\n\n [[8.91939759e-01 1.55846297e-04 4.34058544e-04 1.07470281e-01]\n  [9.33161199e-01 7.80489063e-06 2.59485332e-05 6.68050945e-02]\n  [9.41546082e-01 5.36685229e-06 1.95279099e-05 5.84290102e-02]\n  [9.35961664e-01 8.23913615e-06 3.13495875e-05 6.39986768e-02]\n  [9.27312195e-01 1.07062606e-05 4.18195596e-05 7.26353228e-02]]]\nPredicted mask after argmax for 2008_000783: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000783 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000783. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000783.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000783: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79091108e-01 2.26197798e-07 5.40369740e-07 2.09080577e-02]\n  [9.90601182e-01 1.93139393e-10 5.03380115e-10 9.39883478e-03]\n  [9.93662000e-01 1.10366213e-11 5.10081040e-11 6.33795373e-03]\n  [9.93860364e-01 7.29691394e-12 4.45306084e-11 6.13961369e-03]\n  [9.94066238e-01 4.24325505e-12 3.07759061e-11 5.93370385e-03]]\n\n [[9.93149459e-01 9.69387209e-11 5.53344370e-10 6.85058394e-03]\n  [9.93608117e-01 1.14795495e-14 8.41574802e-14 6.39192993e-03]\n  [9.93245602e-01 7.35750394e-16 1.26750095e-14 6.75440719e-03]\n  [9.92409110e-01 9.93522743e-16 2.74288665e-14 7.59086432e-03]\n  [9.92156029e-01 5.91386651e-16 2.34981102e-14 7.84393772e-03]]\n\n [[9.97255504e-01 3.98940473e-12 4.02893344e-11 2.74446211e-03]\n  [9.97046530e-01 3.20406121e-16 5.61119813e-15 2.95348326e-03]\n  [9.95992780e-01 3.23684575e-17 2.13476316e-15 4.00714763e-03]\n  [9.94343817e-01 6.89944798e-17 8.33402324e-15 5.65612549e-03]\n  [9.94097590e-01 3.99204444e-17 7.08609341e-15 5.90242865e-03]]\n\n ...\n\n [[9.33367431e-01 4.26367433e-06 1.53854908e-05 6.66129813e-02]\n  [9.27734137e-01 5.06232674e-08 3.15654319e-07 7.22656101e-02]\n  [9.29031491e-01 1.60264300e-08 1.66421174e-07 7.09682927e-02]\n  [9.30704176e-01 2.13647375e-08 2.63845607e-07 6.92956150e-02]\n  [9.30653989e-01 2.33594886e-08 2.90743088e-07 6.93456754e-02]]\n\n [[9.25760746e-01 8.37077550e-06 2.87886105e-05 7.42020383e-02]\n  [9.27392244e-01 1.20235754e-07 6.26021915e-07 7.26070106e-02]\n  [9.34743941e-01 4.48579875e-08 3.60846627e-07 6.52557760e-02]\n  [9.29138780e-01 6.65068853e-08 5.96331915e-07 7.08605349e-02]\n  [9.24996376e-01 7.84651206e-08 7.71708471e-07 7.50027224e-02]]\n\n [[8.91939759e-01 1.55846297e-04 4.34058544e-04 1.07470281e-01]\n  [9.33161199e-01 7.80489063e-06 2.59485332e-05 6.68050945e-02]\n  [9.41546082e-01 5.36685229e-06 1.95279099e-05 5.84290102e-02]\n  [9.35961664e-01 8.23913615e-06 3.13495875e-05 6.39986768e-02]\n  [9.27312195e-01 1.07062606e-05 4.18195596e-05 7.26353228e-02]]]\nPredicted mask after argmax for 2008_000783: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000783 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000783. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000783.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000783: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79091108e-01 2.26197798e-07 5.40369740e-07 2.09080577e-02]\n  [9.90601182e-01 1.93139393e-10 5.03380115e-10 9.39883478e-03]\n  [9.93662000e-01 1.10366213e-11 5.10081040e-11 6.33795373e-03]\n  [9.93860364e-01 7.29691394e-12 4.45306084e-11 6.13961369e-03]\n  [9.94066238e-01 4.24325505e-12 3.07759061e-11 5.93370385e-03]]\n\n [[9.93149459e-01 9.69387209e-11 5.53344370e-10 6.85058394e-03]\n  [9.93608117e-01 1.14795495e-14 8.41574802e-14 6.39192993e-03]\n  [9.93245602e-01 7.35750394e-16 1.26750095e-14 6.75440719e-03]\n  [9.92409110e-01 9.93522743e-16 2.74288665e-14 7.59086432e-03]\n  [9.92156029e-01 5.91386651e-16 2.34981102e-14 7.84393772e-03]]\n\n [[9.97255504e-01 3.98940473e-12 4.02893344e-11 2.74446211e-03]\n  [9.97046530e-01 3.20406121e-16 5.61119813e-15 2.95348326e-03]\n  [9.95992780e-01 3.23684575e-17 2.13476316e-15 4.00714763e-03]\n  [9.94343817e-01 6.89944798e-17 8.33402324e-15 5.65612549e-03]\n  [9.94097590e-01 3.99204444e-17 7.08609341e-15 5.90242865e-03]]\n\n ...\n\n [[9.33367431e-01 4.26367433e-06 1.53854908e-05 6.66129813e-02]\n  [9.27734137e-01 5.06232674e-08 3.15654319e-07 7.22656101e-02]\n  [9.29031491e-01 1.60264300e-08 1.66421174e-07 7.09682927e-02]\n  [9.30704176e-01 2.13647375e-08 2.63845607e-07 6.92956150e-02]\n  [9.30653989e-01 2.33594886e-08 2.90743088e-07 6.93456754e-02]]\n\n [[9.25760746e-01 8.37077550e-06 2.87886105e-05 7.42020383e-02]\n  [9.27392244e-01 1.20235754e-07 6.26021915e-07 7.26070106e-02]\n  [9.34743941e-01 4.48579875e-08 3.60846627e-07 6.52557760e-02]\n  [9.29138780e-01 6.65068853e-08 5.96331915e-07 7.08605349e-02]\n  [9.24996376e-01 7.84651206e-08 7.71708471e-07 7.50027224e-02]]\n\n [[8.91939759e-01 1.55846297e-04 4.34058544e-04 1.07470281e-01]\n  [9.33161199e-01 7.80489063e-06 2.59485332e-05 6.68050945e-02]\n  [9.41546082e-01 5.36685229e-06 1.95279099e-05 5.84290102e-02]\n  [9.35961664e-01 8.23913615e-06 3.13495875e-05 6.39986768e-02]\n  [9.27312195e-01 1.07062606e-05 4.18195596e-05 7.26353228e-02]]]\nPredicted mask after argmax for 2008_000783: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000783 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000783. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000783.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_000783: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79091108e-01 2.26197798e-07 5.40369740e-07 2.09080577e-02]\n  [9.90601182e-01 1.93139393e-10 5.03380115e-10 9.39883478e-03]\n  [9.93662000e-01 1.10366213e-11 5.10081040e-11 6.33795373e-03]\n  [9.93860364e-01 7.29691394e-12 4.45306084e-11 6.13961369e-03]\n  [9.94066238e-01 4.24325505e-12 3.07759061e-11 5.93370385e-03]]\n\n [[9.93149459e-01 9.69387209e-11 5.53344370e-10 6.85058394e-03]\n  [9.93608117e-01 1.14795495e-14 8.41574802e-14 6.39192993e-03]\n  [9.93245602e-01 7.35750394e-16 1.26750095e-14 6.75440719e-03]\n  [9.92409110e-01 9.93522743e-16 2.74288665e-14 7.59086432e-03]\n  [9.92156029e-01 5.91386651e-16 2.34981102e-14 7.84393772e-03]]\n\n [[9.97255504e-01 3.98940473e-12 4.02893344e-11 2.74446211e-03]\n  [9.97046530e-01 3.20406121e-16 5.61119813e-15 2.95348326e-03]\n  [9.95992780e-01 3.23684575e-17 2.13476316e-15 4.00714763e-03]\n  [9.94343817e-01 6.89944798e-17 8.33402324e-15 5.65612549e-03]\n  [9.94097590e-01 3.99204444e-17 7.08609341e-15 5.90242865e-03]]\n\n ...\n\n [[9.33367431e-01 4.26367433e-06 1.53854908e-05 6.66129813e-02]\n  [9.27734137e-01 5.06232674e-08 3.15654319e-07 7.22656101e-02]\n  [9.29031491e-01 1.60264300e-08 1.66421174e-07 7.09682927e-02]\n  [9.30704176e-01 2.13647375e-08 2.63845607e-07 6.92956150e-02]\n  [9.30653989e-01 2.33594886e-08 2.90743088e-07 6.93456754e-02]]\n\n [[9.25760746e-01 8.37077550e-06 2.87886105e-05 7.42020383e-02]\n  [9.27392244e-01 1.20235754e-07 6.26021915e-07 7.26070106e-02]\n  [9.34743941e-01 4.48579875e-08 3.60846627e-07 6.52557760e-02]\n  [9.29138780e-01 6.65068853e-08 5.96331915e-07 7.08605349e-02]\n  [9.24996376e-01 7.84651206e-08 7.71708471e-07 7.50027224e-02]]\n\n [[8.91939759e-01 1.55846297e-04 4.34058544e-04 1.07470281e-01]\n  [9.33161199e-01 7.80489063e-06 2.59485332e-05 6.68050945e-02]\n  [9.41546082e-01 5.36685229e-06 1.95279099e-05 5.84290102e-02]\n  [9.35961664e-01 8.23913615e-06 3.13495875e-05 6.39986768e-02]\n  [9.27312195e-01 1.07062606e-05 4.18195596e-05 7.26353228e-02]]]\nPredicted mask after argmax for 2008_000783: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000783 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000783. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000788.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000788: (1, 256, 256, 4)\nSome predicted mask values: [[[9.08221424e-01 4.41638294e-05 8.55694962e-05 9.16489065e-02]\n  [9.57039714e-01 7.80554785e-08 3.07774712e-07 4.29598391e-02]\n  [9.76560533e-01 1.58484692e-09 1.10168719e-08 2.34394353e-02]\n  [9.81997907e-01 2.63056243e-10 2.38676434e-09 1.80020500e-02]\n  [9.85873461e-01 6.71593822e-11 6.96447955e-10 1.41264843e-02]]\n\n [[9.53569293e-01 1.89988583e-07 8.09203357e-07 4.64297086e-02]\n  [9.77196991e-01 2.03797101e-11 2.40823472e-10 2.28029862e-02]\n  [9.88211453e-01 7.69212642e-14 2.28496367e-12 1.17885703e-02]\n  [9.90101635e-01 7.41127994e-15 3.60066496e-13 9.89845768e-03]\n  [9.91873801e-01 1.23673068e-15 8.06287003e-14 8.12619925e-03]]\n\n [[9.69614983e-01 1.85667357e-08 1.32442366e-07 3.03848945e-02]\n  [9.87299860e-01 4.55416141e-13 1.41947660e-11 1.27001535e-02]\n  [9.93418157e-01 6.22491025e-16 7.20853498e-14 6.58175955e-03]\n  [9.95161653e-01 2.20709423e-17 4.93193785e-15 4.83824965e-03]\n  [9.96407568e-01 2.06230478e-18 6.71474728e-16 3.59243830e-03]]\n\n ...\n\n [[8.89904857e-01 3.46286943e-05 1.09118191e-04 1.09951392e-01]\n  [8.96162868e-01 6.42257476e-07 3.62390460e-06 1.03832833e-01]\n  [9.05775905e-01 2.27126520e-07 1.75537309e-06 9.42221284e-02]\n  [9.06471074e-01 3.14665954e-07 2.59144554e-06 9.35260206e-02]\n  [9.04808581e-01 3.73845126e-07 3.02721469e-06 9.51880813e-02]]\n\n [[8.78194213e-01 6.99947705e-05 2.09769656e-04 1.21525973e-01]\n  [8.91740441e-01 1.73100159e-06 8.14810846e-06 1.08249635e-01]\n  [9.04005349e-01 6.87770921e-07 4.21302684e-06 9.59898010e-02]\n  [9.00034547e-01 8.92441960e-07 5.83812425e-06 9.99588296e-02]\n  [8.97318602e-01 1.01331011e-06 6.95959488e-06 1.02673545e-01]]\n\n [[8.37634742e-01 8.45634495e-04 2.02266732e-03 1.59496948e-01]\n  [8.89293134e-01 7.72113344e-05 2.13177977e-04 1.10416472e-01]\n  [9.03857470e-01 4.99031812e-05 1.53358254e-04 9.59393233e-02]\n  [8.97417009e-01 6.36327459e-05 1.99129499e-04 1.02320306e-01]\n  [8.90473545e-01 7.20666721e-05 2.26834163e-04 1.09227508e-01]]]\nPredicted mask after argmax for 2008_000788: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000788 has shape: (500, 334)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000788. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000788.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000788: (1, 256, 256, 4)\nSome predicted mask values: [[[9.08221424e-01 4.41638294e-05 8.55694962e-05 9.16489065e-02]\n  [9.57039714e-01 7.80554785e-08 3.07774712e-07 4.29598391e-02]\n  [9.76560533e-01 1.58484692e-09 1.10168719e-08 2.34394353e-02]\n  [9.81997907e-01 2.63056243e-10 2.38676434e-09 1.80020500e-02]\n  [9.85873461e-01 6.71593822e-11 6.96447955e-10 1.41264843e-02]]\n\n [[9.53569293e-01 1.89988583e-07 8.09203357e-07 4.64297086e-02]\n  [9.77196991e-01 2.03797101e-11 2.40823472e-10 2.28029862e-02]\n  [9.88211453e-01 7.69212642e-14 2.28496367e-12 1.17885703e-02]\n  [9.90101635e-01 7.41127994e-15 3.60066496e-13 9.89845768e-03]\n  [9.91873801e-01 1.23673068e-15 8.06287003e-14 8.12619925e-03]]\n\n [[9.69614983e-01 1.85667357e-08 1.32442366e-07 3.03848945e-02]\n  [9.87299860e-01 4.55416141e-13 1.41947660e-11 1.27001535e-02]\n  [9.93418157e-01 6.22491025e-16 7.20853498e-14 6.58175955e-03]\n  [9.95161653e-01 2.20709423e-17 4.93193785e-15 4.83824965e-03]\n  [9.96407568e-01 2.06230478e-18 6.71474728e-16 3.59243830e-03]]\n\n ...\n\n [[8.89904857e-01 3.46286943e-05 1.09118191e-04 1.09951392e-01]\n  [8.96162868e-01 6.42257476e-07 3.62390460e-06 1.03832833e-01]\n  [9.05775905e-01 2.27126520e-07 1.75537309e-06 9.42221284e-02]\n  [9.06471074e-01 3.14665954e-07 2.59144554e-06 9.35260206e-02]\n  [9.04808581e-01 3.73845126e-07 3.02721469e-06 9.51880813e-02]]\n\n [[8.78194213e-01 6.99947705e-05 2.09769656e-04 1.21525973e-01]\n  [8.91740441e-01 1.73100159e-06 8.14810846e-06 1.08249635e-01]\n  [9.04005349e-01 6.87770921e-07 4.21302684e-06 9.59898010e-02]\n  [9.00034547e-01 8.92441960e-07 5.83812425e-06 9.99588296e-02]\n  [8.97318602e-01 1.01331011e-06 6.95959488e-06 1.02673545e-01]]\n\n [[8.37634742e-01 8.45634495e-04 2.02266732e-03 1.59496948e-01]\n  [8.89293134e-01 7.72113344e-05 2.13177977e-04 1.10416472e-01]\n  [9.03857470e-01 4.99031812e-05 1.53358254e-04 9.59393233e-02]\n  [8.97417009e-01 6.36327459e-05 1.99129499e-04 1.02320306e-01]\n  [8.90473545e-01 7.20666721e-05 2.26834163e-04 1.09227508e-01]]]\nPredicted mask after argmax for 2008_000788: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000788 has shape: (500, 334)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000788. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000793.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000793: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86167848e-01 7.18721580e-08 1.74751705e-07 1.38319600e-02]\n  [9.94109094e-01 5.92239383e-11 1.15612318e-10 5.89083089e-03]\n  [9.95987356e-01 2.70506599e-12 9.62011720e-12 4.01266897e-03]\n  [9.96274114e-01 8.73731859e-13 4.97338455e-12 3.72595643e-03]\n  [9.96937275e-01 2.02912773e-13 1.49488494e-12 3.06277908e-03]]\n\n [[9.96188164e-01 1.60857230e-11 9.29650593e-11 3.81174404e-03]\n  [9.95960176e-01 1.35058313e-15 8.11813402e-15 4.03979979e-03]\n  [9.94691074e-01 8.97494075e-17 1.34567574e-15 5.30892331e-03]\n  [9.94096875e-01 6.71465120e-17 2.06727306e-15 5.90309966e-03]\n  [9.94524181e-01 1.42342613e-17 7.37664953e-16 5.47582004e-03]]\n\n [[9.98857141e-01 1.99844508e-13 2.13066045e-12 1.14289578e-03]\n  [9.98611212e-01 1.07579173e-17 1.65212453e-16 1.38880766e-03]\n  [9.97747123e-01 1.15140729e-18 9.34333192e-17 2.25290400e-03]\n  [9.96110439e-01 1.91463774e-18 3.64663619e-16 3.88951693e-03]\n  [9.96240973e-01 4.06302897e-19 1.49132975e-16 3.75905866e-03]]\n\n ...\n\n [[8.97702694e-01 2.37431686e-05 7.96273671e-05 1.02193952e-01]\n  [9.07216966e-01 3.26345514e-07 1.87757701e-06 9.27808285e-02]\n  [9.16116059e-01 8.80189006e-08 7.79347374e-07 8.38830620e-02]\n  [9.19541359e-01 9.36107227e-08 9.57650855e-07 8.04575831e-02]\n  [9.17760193e-01 1.12111955e-07 1.13205101e-06 8.22386295e-02]]\n\n [[8.80701542e-01 6.21093204e-05 1.94562090e-04 1.19041748e-01]\n  [8.95834804e-01 1.21135122e-06 5.94407311e-06 1.04158007e-01]\n  [9.11776364e-01 3.68921064e-07 2.59659873e-06 8.82207304e-02]\n  [9.09917355e-01 3.78335926e-07 2.91447986e-06 9.00794417e-02]\n  [9.07826304e-01 4.02891487e-07 3.35846880e-06 9.21699852e-02]]\n\n [[8.37409377e-01 8.62956862e-04 2.14218465e-03 1.59585446e-01]\n  [8.88297141e-01 7.11029425e-05 2.10372513e-04 1.11421466e-01]\n  [9.05090034e-01 3.92175207e-05 1.35556620e-04 9.47352946e-02]\n  [9.00276899e-01 4.41351767e-05 1.57470524e-04 9.95215923e-02]\n  [8.93660128e-01 4.88725127e-05 1.77619106e-04 1.06113367e-01]]]\nPredicted mask after argmax for 2008_000793: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000793 has shape: (331, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000793. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000793.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000793: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86167848e-01 7.18721580e-08 1.74751705e-07 1.38319600e-02]\n  [9.94109094e-01 5.92239383e-11 1.15612318e-10 5.89083089e-03]\n  [9.95987356e-01 2.70506599e-12 9.62011720e-12 4.01266897e-03]\n  [9.96274114e-01 8.73731859e-13 4.97338455e-12 3.72595643e-03]\n  [9.96937275e-01 2.02912773e-13 1.49488494e-12 3.06277908e-03]]\n\n [[9.96188164e-01 1.60857230e-11 9.29650593e-11 3.81174404e-03]\n  [9.95960176e-01 1.35058313e-15 8.11813402e-15 4.03979979e-03]\n  [9.94691074e-01 8.97494075e-17 1.34567574e-15 5.30892331e-03]\n  [9.94096875e-01 6.71465120e-17 2.06727306e-15 5.90309966e-03]\n  [9.94524181e-01 1.42342613e-17 7.37664953e-16 5.47582004e-03]]\n\n [[9.98857141e-01 1.99844508e-13 2.13066045e-12 1.14289578e-03]\n  [9.98611212e-01 1.07579173e-17 1.65212453e-16 1.38880766e-03]\n  [9.97747123e-01 1.15140729e-18 9.34333192e-17 2.25290400e-03]\n  [9.96110439e-01 1.91463774e-18 3.64663619e-16 3.88951693e-03]\n  [9.96240973e-01 4.06302897e-19 1.49132975e-16 3.75905866e-03]]\n\n ...\n\n [[8.97702694e-01 2.37431686e-05 7.96273671e-05 1.02193952e-01]\n  [9.07216966e-01 3.26345514e-07 1.87757701e-06 9.27808285e-02]\n  [9.16116059e-01 8.80189006e-08 7.79347374e-07 8.38830620e-02]\n  [9.19541359e-01 9.36107227e-08 9.57650855e-07 8.04575831e-02]\n  [9.17760193e-01 1.12111955e-07 1.13205101e-06 8.22386295e-02]]\n\n [[8.80701542e-01 6.21093204e-05 1.94562090e-04 1.19041748e-01]\n  [8.95834804e-01 1.21135122e-06 5.94407311e-06 1.04158007e-01]\n  [9.11776364e-01 3.68921064e-07 2.59659873e-06 8.82207304e-02]\n  [9.09917355e-01 3.78335926e-07 2.91447986e-06 9.00794417e-02]\n  [9.07826304e-01 4.02891487e-07 3.35846880e-06 9.21699852e-02]]\n\n [[8.37409377e-01 8.62956862e-04 2.14218465e-03 1.59585446e-01]\n  [8.88297141e-01 7.11029425e-05 2.10372513e-04 1.11421466e-01]\n  [9.05090034e-01 3.92175207e-05 1.35556620e-04 9.47352946e-02]\n  [9.00276899e-01 4.41351767e-05 1.57470524e-04 9.95215923e-02]\n  [8.93660128e-01 4.88725127e-05 1.77619106e-04 1.06113367e-01]]]\nPredicted mask after argmax for 2008_000793: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000793 has shape: (331, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000793. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000793.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000793: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86167848e-01 7.18721580e-08 1.74751705e-07 1.38319600e-02]\n  [9.94109094e-01 5.92239383e-11 1.15612318e-10 5.89083089e-03]\n  [9.95987356e-01 2.70506599e-12 9.62011720e-12 4.01266897e-03]\n  [9.96274114e-01 8.73731859e-13 4.97338455e-12 3.72595643e-03]\n  [9.96937275e-01 2.02912773e-13 1.49488494e-12 3.06277908e-03]]\n\n [[9.96188164e-01 1.60857230e-11 9.29650593e-11 3.81174404e-03]\n  [9.95960176e-01 1.35058313e-15 8.11813402e-15 4.03979979e-03]\n  [9.94691074e-01 8.97494075e-17 1.34567574e-15 5.30892331e-03]\n  [9.94096875e-01 6.71465120e-17 2.06727306e-15 5.90309966e-03]\n  [9.94524181e-01 1.42342613e-17 7.37664953e-16 5.47582004e-03]]\n\n [[9.98857141e-01 1.99844508e-13 2.13066045e-12 1.14289578e-03]\n  [9.98611212e-01 1.07579173e-17 1.65212453e-16 1.38880766e-03]\n  [9.97747123e-01 1.15140729e-18 9.34333192e-17 2.25290400e-03]\n  [9.96110439e-01 1.91463774e-18 3.64663619e-16 3.88951693e-03]\n  [9.96240973e-01 4.06302897e-19 1.49132975e-16 3.75905866e-03]]\n\n ...\n\n [[8.97702694e-01 2.37431686e-05 7.96273671e-05 1.02193952e-01]\n  [9.07216966e-01 3.26345514e-07 1.87757701e-06 9.27808285e-02]\n  [9.16116059e-01 8.80189006e-08 7.79347374e-07 8.38830620e-02]\n  [9.19541359e-01 9.36107227e-08 9.57650855e-07 8.04575831e-02]\n  [9.17760193e-01 1.12111955e-07 1.13205101e-06 8.22386295e-02]]\n\n [[8.80701542e-01 6.21093204e-05 1.94562090e-04 1.19041748e-01]\n  [8.95834804e-01 1.21135122e-06 5.94407311e-06 1.04158007e-01]\n  [9.11776364e-01 3.68921064e-07 2.59659873e-06 8.82207304e-02]\n  [9.09917355e-01 3.78335926e-07 2.91447986e-06 9.00794417e-02]\n  [9.07826304e-01 4.02891487e-07 3.35846880e-06 9.21699852e-02]]\n\n [[8.37409377e-01 8.62956862e-04 2.14218465e-03 1.59585446e-01]\n  [8.88297141e-01 7.11029425e-05 2.10372513e-04 1.11421466e-01]\n  [9.05090034e-01 3.92175207e-05 1.35556620e-04 9.47352946e-02]\n  [9.00276899e-01 4.41351767e-05 1.57470524e-04 9.95215923e-02]\n  [8.93660128e-01 4.88725127e-05 1.77619106e-04 1.06113367e-01]]]\nPredicted mask after argmax for 2008_000793: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000793 has shape: (331, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000793. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000808.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000808: (1, 256, 256, 4)\nSome predicted mask values: [[[9.13631320e-01 1.02562073e-04 1.68894330e-04 8.60971883e-02]\n  [9.39291954e-01 2.03453942e-06 3.67079747e-06 6.07022680e-02]\n  [9.46601033e-01 5.30130706e-07 1.41489045e-06 5.33969812e-02]\n  [9.44689572e-01 5.22187349e-07 1.67487008e-06 5.53082377e-02]\n  [9.43504274e-01 4.32982660e-07 1.54198813e-06 5.64937368e-02]]\n\n [[9.59479690e-01 7.47305364e-07 2.16294620e-06 4.05172929e-02]\n  [9.57327604e-01 4.34941949e-09 1.48193182e-08 4.26723920e-02]\n  [9.53968704e-01 1.15736132e-09 7.19483628e-09 4.60313298e-02]\n  [9.48547542e-01 1.74653914e-09 1.48463464e-08 5.14524542e-02]\n  [9.47375774e-01 1.39788803e-09 1.49602180e-08 5.26241809e-02]]\n\n [[9.76605773e-01 8.76814283e-08 3.57196996e-07 2.33937409e-02]\n  [9.73043799e-01 3.74562381e-10 2.08016293e-09 2.69561540e-02]\n  [9.67127681e-01 1.21416863e-10 1.60663038e-09 3.28723975e-02]\n  [9.59198475e-01 2.04337977e-10 3.87235621e-09 4.08015177e-02]\n  [9.58862662e-01 1.43735288e-10 3.46006201e-09 4.11373004e-02]]\n\n ...\n\n [[9.11171377e-01 6.03555782e-06 2.32099628e-05 8.87992829e-02]\n  [9.25400555e-01 3.31026513e-08 2.88106321e-07 7.45991617e-02]\n  [9.37869191e-01 6.01040284e-09 7.82705030e-08 6.21307008e-02]\n  [9.39694345e-01 7.21665794e-09 1.00459026e-07 6.03055246e-02]\n  [9.38543260e-01 8.59306137e-09 1.17267824e-07 6.14566468e-02]]\n\n [[9.08688605e-01 9.05647903e-06 3.40444712e-05 9.12682414e-02]\n  [9.27852452e-01 6.41604885e-08 4.54747635e-07 7.21470341e-02]\n  [9.39320564e-01 1.35559919e-08 1.32971238e-07 6.06793724e-02]\n  [9.39856589e-01 1.49319721e-08 1.65077637e-07 6.01433441e-02]\n  [9.38461840e-01 1.62054850e-08 1.90061499e-07 6.15379587e-02]]\n\n [[8.79418969e-01 1.60810421e-04 4.70560364e-04 1.19949631e-01]\n  [9.31408346e-01 5.62303785e-06 2.02527772e-05 6.85658380e-02]\n  [9.47186470e-01 2.28404861e-06 9.55921132e-06 5.28017245e-02]\n  [9.45057809e-01 2.67177461e-06 1.15982803e-05 5.49279451e-02]\n  [9.41456795e-01 3.00735337e-06 1.31611478e-05 5.85270412e-02]]]\nPredicted mask after argmax for 2008_000808: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000808 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000808. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000808.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000808: (1, 256, 256, 4)\nSome predicted mask values: [[[9.13631320e-01 1.02562073e-04 1.68894330e-04 8.60971883e-02]\n  [9.39291954e-01 2.03453942e-06 3.67079747e-06 6.07022680e-02]\n  [9.46601033e-01 5.30130706e-07 1.41489045e-06 5.33969812e-02]\n  [9.44689572e-01 5.22187349e-07 1.67487008e-06 5.53082377e-02]\n  [9.43504274e-01 4.32982660e-07 1.54198813e-06 5.64937368e-02]]\n\n [[9.59479690e-01 7.47305364e-07 2.16294620e-06 4.05172929e-02]\n  [9.57327604e-01 4.34941949e-09 1.48193182e-08 4.26723920e-02]\n  [9.53968704e-01 1.15736132e-09 7.19483628e-09 4.60313298e-02]\n  [9.48547542e-01 1.74653914e-09 1.48463464e-08 5.14524542e-02]\n  [9.47375774e-01 1.39788803e-09 1.49602180e-08 5.26241809e-02]]\n\n [[9.76605773e-01 8.76814283e-08 3.57196996e-07 2.33937409e-02]\n  [9.73043799e-01 3.74562381e-10 2.08016293e-09 2.69561540e-02]\n  [9.67127681e-01 1.21416863e-10 1.60663038e-09 3.28723975e-02]\n  [9.59198475e-01 2.04337977e-10 3.87235621e-09 4.08015177e-02]\n  [9.58862662e-01 1.43735288e-10 3.46006201e-09 4.11373004e-02]]\n\n ...\n\n [[9.11171377e-01 6.03555782e-06 2.32099628e-05 8.87992829e-02]\n  [9.25400555e-01 3.31026513e-08 2.88106321e-07 7.45991617e-02]\n  [9.37869191e-01 6.01040284e-09 7.82705030e-08 6.21307008e-02]\n  [9.39694345e-01 7.21665794e-09 1.00459026e-07 6.03055246e-02]\n  [9.38543260e-01 8.59306137e-09 1.17267824e-07 6.14566468e-02]]\n\n [[9.08688605e-01 9.05647903e-06 3.40444712e-05 9.12682414e-02]\n  [9.27852452e-01 6.41604885e-08 4.54747635e-07 7.21470341e-02]\n  [9.39320564e-01 1.35559919e-08 1.32971238e-07 6.06793724e-02]\n  [9.39856589e-01 1.49319721e-08 1.65077637e-07 6.01433441e-02]\n  [9.38461840e-01 1.62054850e-08 1.90061499e-07 6.15379587e-02]]\n\n [[8.79418969e-01 1.60810421e-04 4.70560364e-04 1.19949631e-01]\n  [9.31408346e-01 5.62303785e-06 2.02527772e-05 6.85658380e-02]\n  [9.47186470e-01 2.28404861e-06 9.55921132e-06 5.28017245e-02]\n  [9.45057809e-01 2.67177461e-06 1.15982803e-05 5.49279451e-02]\n  [9.41456795e-01 3.00735337e-06 1.31611478e-05 5.85270412e-02]]]\nPredicted mask after argmax for 2008_000808: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000808 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000808. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000815.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000815: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65652168e-01 3.24035341e-06 6.20408628e-06 3.43384072e-02]\n  [9.79287028e-01 2.15075744e-08 3.35736807e-08 2.07130127e-02]\n  [9.82937098e-01 2.95588598e-09 7.96823763e-09 1.70629118e-02]\n  [9.82976496e-01 1.41237289e-09 5.74424552e-09 1.70235597e-02]\n  [9.85960245e-01 3.20476590e-10 1.69017944e-09 1.40396925e-02]]\n\n [[9.88566339e-01 3.86004384e-09 1.46915724e-08 1.14336796e-02]\n  [9.86185789e-01 5.05432545e-12 1.87270546e-11 1.38142230e-02]\n  [9.81257796e-01 1.06602086e-12 8.71163992e-12 1.87422391e-02]\n  [9.78873134e-01 1.00749823e-12 1.51478760e-11 2.11268477e-02]\n  [9.81375337e-01 1.77116527e-13 4.30386239e-12 1.86246876e-02]]\n\n [[9.95446622e-01 1.18212509e-10 6.96052826e-10 4.55336133e-03]\n  [9.93771017e-01 1.16014755e-13 8.31721302e-13 6.22892939e-03]\n  [9.89602149e-01 3.97055063e-14 1.06646332e-12 1.03978682e-02]\n  [9.83734488e-01 6.77758359e-14 3.72829892e-12 1.62655544e-02]\n  [9.85550880e-01 1.06724618e-14 1.05511119e-12 1.44491568e-02]]\n\n ...\n\n [[8.93904209e-01 4.77997201e-05 1.40388991e-04 1.05907649e-01]\n  [8.91479731e-01 1.40971940e-06 6.26207657e-06 1.08512565e-01]\n  [8.96275759e-01 6.46609919e-07 4.16174316e-06 1.03719443e-01]\n  [8.94209623e-01 9.50144226e-07 6.73208842e-06 1.05782725e-01]\n  [8.89298499e-01 1.33332685e-06 9.17811667e-06 1.10690840e-01]]\n\n [[8.76789749e-01 1.15477153e-04 3.16960184e-04 1.22777872e-01]\n  [8.81392598e-01 4.38017514e-06 1.68606675e-05 1.18586153e-01]\n  [8.93285692e-01 2.15227510e-06 1.13209180e-05 1.06700912e-01]\n  [8.86541009e-01 3.02144667e-06 1.68730057e-05 1.13439053e-01]\n  [8.77938628e-01 4.01223224e-06 2.32893399e-05 1.22034028e-01]]\n\n [[8.30641747e-01 1.28233142e-03 2.88252137e-03 1.65193409e-01]\n  [8.76617074e-01 1.55219299e-04 3.98092699e-04 1.22829691e-01]\n  [8.87642920e-01 1.19915399e-04 3.38530604e-04 1.11898683e-01]\n  [8.78419936e-01 1.63514283e-04 4.69386549e-04 1.20947137e-01]\n  [8.65505397e-01 2.09755235e-04 5.99730469e-04 1.33685157e-01]]]\nPredicted mask after argmax for 2008_000815: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000815 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000815. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000815.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000815: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65652168e-01 3.24035341e-06 6.20408628e-06 3.43384072e-02]\n  [9.79287028e-01 2.15075744e-08 3.35736807e-08 2.07130127e-02]\n  [9.82937098e-01 2.95588598e-09 7.96823763e-09 1.70629118e-02]\n  [9.82976496e-01 1.41237289e-09 5.74424552e-09 1.70235597e-02]\n  [9.85960245e-01 3.20476590e-10 1.69017944e-09 1.40396925e-02]]\n\n [[9.88566339e-01 3.86004384e-09 1.46915724e-08 1.14336796e-02]\n  [9.86185789e-01 5.05432545e-12 1.87270546e-11 1.38142230e-02]\n  [9.81257796e-01 1.06602086e-12 8.71163992e-12 1.87422391e-02]\n  [9.78873134e-01 1.00749823e-12 1.51478760e-11 2.11268477e-02]\n  [9.81375337e-01 1.77116527e-13 4.30386239e-12 1.86246876e-02]]\n\n [[9.95446622e-01 1.18212509e-10 6.96052826e-10 4.55336133e-03]\n  [9.93771017e-01 1.16014755e-13 8.31721302e-13 6.22892939e-03]\n  [9.89602149e-01 3.97055063e-14 1.06646332e-12 1.03978682e-02]\n  [9.83734488e-01 6.77758359e-14 3.72829892e-12 1.62655544e-02]\n  [9.85550880e-01 1.06724618e-14 1.05511119e-12 1.44491568e-02]]\n\n ...\n\n [[8.93904209e-01 4.77997201e-05 1.40388991e-04 1.05907649e-01]\n  [8.91479731e-01 1.40971940e-06 6.26207657e-06 1.08512565e-01]\n  [8.96275759e-01 6.46609919e-07 4.16174316e-06 1.03719443e-01]\n  [8.94209623e-01 9.50144226e-07 6.73208842e-06 1.05782725e-01]\n  [8.89298499e-01 1.33332685e-06 9.17811667e-06 1.10690840e-01]]\n\n [[8.76789749e-01 1.15477153e-04 3.16960184e-04 1.22777872e-01]\n  [8.81392598e-01 4.38017514e-06 1.68606675e-05 1.18586153e-01]\n  [8.93285692e-01 2.15227510e-06 1.13209180e-05 1.06700912e-01]\n  [8.86541009e-01 3.02144667e-06 1.68730057e-05 1.13439053e-01]\n  [8.77938628e-01 4.01223224e-06 2.32893399e-05 1.22034028e-01]]\n\n [[8.30641747e-01 1.28233142e-03 2.88252137e-03 1.65193409e-01]\n  [8.76617074e-01 1.55219299e-04 3.98092699e-04 1.22829691e-01]\n  [8.87642920e-01 1.19915399e-04 3.38530604e-04 1.11898683e-01]\n  [8.78419936e-01 1.63514283e-04 4.69386549e-04 1.20947137e-01]\n  [8.65505397e-01 2.09755235e-04 5.99730469e-04 1.33685157e-01]]]\nPredicted mask after argmax for 2008_000815: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000815 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000815. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000815.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000815: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65652168e-01 3.24035341e-06 6.20408628e-06 3.43384072e-02]\n  [9.79287028e-01 2.15075744e-08 3.35736807e-08 2.07130127e-02]\n  [9.82937098e-01 2.95588598e-09 7.96823763e-09 1.70629118e-02]\n  [9.82976496e-01 1.41237289e-09 5.74424552e-09 1.70235597e-02]\n  [9.85960245e-01 3.20476590e-10 1.69017944e-09 1.40396925e-02]]\n\n [[9.88566339e-01 3.86004384e-09 1.46915724e-08 1.14336796e-02]\n  [9.86185789e-01 5.05432545e-12 1.87270546e-11 1.38142230e-02]\n  [9.81257796e-01 1.06602086e-12 8.71163992e-12 1.87422391e-02]\n  [9.78873134e-01 1.00749823e-12 1.51478760e-11 2.11268477e-02]\n  [9.81375337e-01 1.77116527e-13 4.30386239e-12 1.86246876e-02]]\n\n [[9.95446622e-01 1.18212509e-10 6.96052826e-10 4.55336133e-03]\n  [9.93771017e-01 1.16014755e-13 8.31721302e-13 6.22892939e-03]\n  [9.89602149e-01 3.97055063e-14 1.06646332e-12 1.03978682e-02]\n  [9.83734488e-01 6.77758359e-14 3.72829892e-12 1.62655544e-02]\n  [9.85550880e-01 1.06724618e-14 1.05511119e-12 1.44491568e-02]]\n\n ...\n\n [[8.93904209e-01 4.77997201e-05 1.40388991e-04 1.05907649e-01]\n  [8.91479731e-01 1.40971940e-06 6.26207657e-06 1.08512565e-01]\n  [8.96275759e-01 6.46609919e-07 4.16174316e-06 1.03719443e-01]\n  [8.94209623e-01 9.50144226e-07 6.73208842e-06 1.05782725e-01]\n  [8.89298499e-01 1.33332685e-06 9.17811667e-06 1.10690840e-01]]\n\n [[8.76789749e-01 1.15477153e-04 3.16960184e-04 1.22777872e-01]\n  [8.81392598e-01 4.38017514e-06 1.68606675e-05 1.18586153e-01]\n  [8.93285692e-01 2.15227510e-06 1.13209180e-05 1.06700912e-01]\n  [8.86541009e-01 3.02144667e-06 1.68730057e-05 1.13439053e-01]\n  [8.77938628e-01 4.01223224e-06 2.32893399e-05 1.22034028e-01]]\n\n [[8.30641747e-01 1.28233142e-03 2.88252137e-03 1.65193409e-01]\n  [8.76617074e-01 1.55219299e-04 3.98092699e-04 1.22829691e-01]\n  [8.87642920e-01 1.19915399e-04 3.38530604e-04 1.11898683e-01]\n  [8.78419936e-01 1.63514283e-04 4.69386549e-04 1.20947137e-01]\n  [8.65505397e-01 2.09755235e-04 5.99730469e-04 1.33685157e-01]]]\nPredicted mask after argmax for 2008_000815: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000815 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000815. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000815.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000815: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65652168e-01 3.24035341e-06 6.20408628e-06 3.43384072e-02]\n  [9.79287028e-01 2.15075744e-08 3.35736807e-08 2.07130127e-02]\n  [9.82937098e-01 2.95588598e-09 7.96823763e-09 1.70629118e-02]\n  [9.82976496e-01 1.41237289e-09 5.74424552e-09 1.70235597e-02]\n  [9.85960245e-01 3.20476590e-10 1.69017944e-09 1.40396925e-02]]\n\n [[9.88566339e-01 3.86004384e-09 1.46915724e-08 1.14336796e-02]\n  [9.86185789e-01 5.05432545e-12 1.87270546e-11 1.38142230e-02]\n  [9.81257796e-01 1.06602086e-12 8.71163992e-12 1.87422391e-02]\n  [9.78873134e-01 1.00749823e-12 1.51478760e-11 2.11268477e-02]\n  [9.81375337e-01 1.77116527e-13 4.30386239e-12 1.86246876e-02]]\n\n [[9.95446622e-01 1.18212509e-10 6.96052826e-10 4.55336133e-03]\n  [9.93771017e-01 1.16014755e-13 8.31721302e-13 6.22892939e-03]\n  [9.89602149e-01 3.97055063e-14 1.06646332e-12 1.03978682e-02]\n  [9.83734488e-01 6.77758359e-14 3.72829892e-12 1.62655544e-02]\n  [9.85550880e-01 1.06724618e-14 1.05511119e-12 1.44491568e-02]]\n\n ...\n\n [[8.93904209e-01 4.77997201e-05 1.40388991e-04 1.05907649e-01]\n  [8.91479731e-01 1.40971940e-06 6.26207657e-06 1.08512565e-01]\n  [8.96275759e-01 6.46609919e-07 4.16174316e-06 1.03719443e-01]\n  [8.94209623e-01 9.50144226e-07 6.73208842e-06 1.05782725e-01]\n  [8.89298499e-01 1.33332685e-06 9.17811667e-06 1.10690840e-01]]\n\n [[8.76789749e-01 1.15477153e-04 3.16960184e-04 1.22777872e-01]\n  [8.81392598e-01 4.38017514e-06 1.68606675e-05 1.18586153e-01]\n  [8.93285692e-01 2.15227510e-06 1.13209180e-05 1.06700912e-01]\n  [8.86541009e-01 3.02144667e-06 1.68730057e-05 1.13439053e-01]\n  [8.77938628e-01 4.01223224e-06 2.32893399e-05 1.22034028e-01]]\n\n [[8.30641747e-01 1.28233142e-03 2.88252137e-03 1.65193409e-01]\n  [8.76617074e-01 1.55219299e-04 3.98092699e-04 1.22829691e-01]\n  [8.87642920e-01 1.19915399e-04 3.38530604e-04 1.11898683e-01]\n  [8.78419936e-01 1.63514283e-04 4.69386549e-04 1.20947137e-01]\n  [8.65505397e-01 2.09755235e-04 5.99730469e-04 1.33685157e-01]]]\nPredicted mask after argmax for 2008_000815: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000815 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000815. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000824.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\nPredicted mask shape for 2008_000824: (1, 256, 256, 4)\nSome predicted mask values: [[[9.64369953e-01 2.57695547e-06 5.29766430e-06 3.56222205e-02]\n  [9.80626464e-01 9.06106301e-09 1.84866114e-08 1.93736162e-02]\n  [9.85569358e-01 9.75146075e-10 3.25437943e-09 1.44305537e-02]\n  [9.85629022e-01 7.01341485e-10 3.06497627e-09 1.43709779e-02]\n  [9.85887468e-01 4.38843489e-10 2.25136043e-09 1.41124856e-02]]\n\n [[9.86406565e-01 3.70242592e-09 1.55904427e-08 1.35933459e-02]\n  [9.86228943e-01 2.54544714e-12 1.23883117e-11 1.37710134e-02]\n  [9.84652817e-01 3.35883204e-13 3.35568942e-12 1.53471427e-02]\n  [9.82612967e-01 4.67682208e-13 7.20677120e-12 1.73870996e-02]\n  [9.82060015e-01 2.95787619e-13 6.32566612e-12 1.79400127e-02]]\n\n [[9.93870854e-01 2.13908433e-10 1.44660206e-09 6.12913910e-03]\n  [9.92974758e-01 1.08330411e-13 1.08701991e-12 7.02527491e-03]\n  [9.90298808e-01 2.16837436e-14 6.79498233e-13 9.70121846e-03]\n  [9.86130238e-01 4.74007261e-14 2.52484145e-12 1.38696581e-02]\n  [9.85780656e-01 2.72467528e-14 2.05579694e-12 1.42193371e-02]]\n\n ...\n\n [[9.28839624e-01 8.38205960e-06 2.85125552e-05 7.11233467e-02]\n  [9.23812151e-01 1.50426800e-07 7.51791163e-07 7.61869028e-02]\n  [9.23429549e-01 6.41608366e-08 5.44425006e-07 7.65697435e-02]\n  [9.21753407e-01 8.90598955e-08 8.74417935e-07 7.82455727e-02]\n  [9.20784175e-01 1.00093672e-07 1.00710645e-06 7.92147219e-02]]\n\n [[9.09053922e-01 2.81074026e-05 8.78202700e-05 9.08301696e-02]\n  [9.11161840e-01 6.71602493e-07 2.88557362e-06 8.88345018e-02]\n  [9.19063032e-01 2.94164181e-07 1.96332985e-06 8.09347406e-02]\n  [9.13900912e-01 3.72886035e-07 2.78467473e-06 8.60958621e-02]\n  [9.10245836e-01 4.00929792e-07 3.26104600e-06 8.97504389e-02]]\n\n [[8.63038838e-01 5.21801994e-04 1.31283887e-03 1.35126442e-01]\n  [9.02534544e-01 4.52263084e-05 1.32054935e-04 9.72883180e-02]\n  [9.11888599e-01 3.27190610e-05 1.07403284e-04 8.79713073e-02]\n  [9.04273093e-01 4.31851331e-05 1.48532810e-04 9.55351368e-02]\n  [8.94510150e-01 4.87437137e-05 1.73164837e-04 1.05267964e-01]]]\nPredicted mask after argmax for 2008_000824: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000824 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000824. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000824.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000824: (1, 256, 256, 4)\nSome predicted mask values: [[[9.64369953e-01 2.57695547e-06 5.29766430e-06 3.56222205e-02]\n  [9.80626464e-01 9.06106301e-09 1.84866114e-08 1.93736162e-02]\n  [9.85569358e-01 9.75146075e-10 3.25437943e-09 1.44305537e-02]\n  [9.85629022e-01 7.01341485e-10 3.06497627e-09 1.43709779e-02]\n  [9.85887468e-01 4.38843489e-10 2.25136043e-09 1.41124856e-02]]\n\n [[9.86406565e-01 3.70242592e-09 1.55904427e-08 1.35933459e-02]\n  [9.86228943e-01 2.54544714e-12 1.23883117e-11 1.37710134e-02]\n  [9.84652817e-01 3.35883204e-13 3.35568942e-12 1.53471427e-02]\n  [9.82612967e-01 4.67682208e-13 7.20677120e-12 1.73870996e-02]\n  [9.82060015e-01 2.95787619e-13 6.32566612e-12 1.79400127e-02]]\n\n [[9.93870854e-01 2.13908433e-10 1.44660206e-09 6.12913910e-03]\n  [9.92974758e-01 1.08330411e-13 1.08701991e-12 7.02527491e-03]\n  [9.90298808e-01 2.16837436e-14 6.79498233e-13 9.70121846e-03]\n  [9.86130238e-01 4.74007261e-14 2.52484145e-12 1.38696581e-02]\n  [9.85780656e-01 2.72467528e-14 2.05579694e-12 1.42193371e-02]]\n\n ...\n\n [[9.28839624e-01 8.38205960e-06 2.85125552e-05 7.11233467e-02]\n  [9.23812151e-01 1.50426800e-07 7.51791163e-07 7.61869028e-02]\n  [9.23429549e-01 6.41608366e-08 5.44425006e-07 7.65697435e-02]\n  [9.21753407e-01 8.90598955e-08 8.74417935e-07 7.82455727e-02]\n  [9.20784175e-01 1.00093672e-07 1.00710645e-06 7.92147219e-02]]\n\n [[9.09053922e-01 2.81074026e-05 8.78202700e-05 9.08301696e-02]\n  [9.11161840e-01 6.71602493e-07 2.88557362e-06 8.88345018e-02]\n  [9.19063032e-01 2.94164181e-07 1.96332985e-06 8.09347406e-02]\n  [9.13900912e-01 3.72886035e-07 2.78467473e-06 8.60958621e-02]\n  [9.10245836e-01 4.00929792e-07 3.26104600e-06 8.97504389e-02]]\n\n [[8.63038838e-01 5.21801994e-04 1.31283887e-03 1.35126442e-01]\n  [9.02534544e-01 4.52263084e-05 1.32054935e-04 9.72883180e-02]\n  [9.11888599e-01 3.27190610e-05 1.07403284e-04 8.79713073e-02]\n  [9.04273093e-01 4.31851331e-05 1.48532810e-04 9.55351368e-02]\n  [8.94510150e-01 4.87437137e-05 1.73164837e-04 1.05267964e-01]]]\nPredicted mask after argmax for 2008_000824: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000824 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000824. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000824.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000824: (1, 256, 256, 4)\nSome predicted mask values: [[[9.64369953e-01 2.57695547e-06 5.29766430e-06 3.56222205e-02]\n  [9.80626464e-01 9.06106301e-09 1.84866114e-08 1.93736162e-02]\n  [9.85569358e-01 9.75146075e-10 3.25437943e-09 1.44305537e-02]\n  [9.85629022e-01 7.01341485e-10 3.06497627e-09 1.43709779e-02]\n  [9.85887468e-01 4.38843489e-10 2.25136043e-09 1.41124856e-02]]\n\n [[9.86406565e-01 3.70242592e-09 1.55904427e-08 1.35933459e-02]\n  [9.86228943e-01 2.54544714e-12 1.23883117e-11 1.37710134e-02]\n  [9.84652817e-01 3.35883204e-13 3.35568942e-12 1.53471427e-02]\n  [9.82612967e-01 4.67682208e-13 7.20677120e-12 1.73870996e-02]\n  [9.82060015e-01 2.95787619e-13 6.32566612e-12 1.79400127e-02]]\n\n [[9.93870854e-01 2.13908433e-10 1.44660206e-09 6.12913910e-03]\n  [9.92974758e-01 1.08330411e-13 1.08701991e-12 7.02527491e-03]\n  [9.90298808e-01 2.16837436e-14 6.79498233e-13 9.70121846e-03]\n  [9.86130238e-01 4.74007261e-14 2.52484145e-12 1.38696581e-02]\n  [9.85780656e-01 2.72467528e-14 2.05579694e-12 1.42193371e-02]]\n\n ...\n\n [[9.28839624e-01 8.38205960e-06 2.85125552e-05 7.11233467e-02]\n  [9.23812151e-01 1.50426800e-07 7.51791163e-07 7.61869028e-02]\n  [9.23429549e-01 6.41608366e-08 5.44425006e-07 7.65697435e-02]\n  [9.21753407e-01 8.90598955e-08 8.74417935e-07 7.82455727e-02]\n  [9.20784175e-01 1.00093672e-07 1.00710645e-06 7.92147219e-02]]\n\n [[9.09053922e-01 2.81074026e-05 8.78202700e-05 9.08301696e-02]\n  [9.11161840e-01 6.71602493e-07 2.88557362e-06 8.88345018e-02]\n  [9.19063032e-01 2.94164181e-07 1.96332985e-06 8.09347406e-02]\n  [9.13900912e-01 3.72886035e-07 2.78467473e-06 8.60958621e-02]\n  [9.10245836e-01 4.00929792e-07 3.26104600e-06 8.97504389e-02]]\n\n [[8.63038838e-01 5.21801994e-04 1.31283887e-03 1.35126442e-01]\n  [9.02534544e-01 4.52263084e-05 1.32054935e-04 9.72883180e-02]\n  [9.11888599e-01 3.27190610e-05 1.07403284e-04 8.79713073e-02]\n  [9.04273093e-01 4.31851331e-05 1.48532810e-04 9.55351368e-02]\n  [8.94510150e-01 4.87437137e-05 1.73164837e-04 1.05267964e-01]]]\nPredicted mask after argmax for 2008_000824: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000824 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000824. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000824.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000824: (1, 256, 256, 4)\nSome predicted mask values: [[[9.64369953e-01 2.57695547e-06 5.29766430e-06 3.56222205e-02]\n  [9.80626464e-01 9.06106301e-09 1.84866114e-08 1.93736162e-02]\n  [9.85569358e-01 9.75146075e-10 3.25437943e-09 1.44305537e-02]\n  [9.85629022e-01 7.01341485e-10 3.06497627e-09 1.43709779e-02]\n  [9.85887468e-01 4.38843489e-10 2.25136043e-09 1.41124856e-02]]\n\n [[9.86406565e-01 3.70242592e-09 1.55904427e-08 1.35933459e-02]\n  [9.86228943e-01 2.54544714e-12 1.23883117e-11 1.37710134e-02]\n  [9.84652817e-01 3.35883204e-13 3.35568942e-12 1.53471427e-02]\n  [9.82612967e-01 4.67682208e-13 7.20677120e-12 1.73870996e-02]\n  [9.82060015e-01 2.95787619e-13 6.32566612e-12 1.79400127e-02]]\n\n [[9.93870854e-01 2.13908433e-10 1.44660206e-09 6.12913910e-03]\n  [9.92974758e-01 1.08330411e-13 1.08701991e-12 7.02527491e-03]\n  [9.90298808e-01 2.16837436e-14 6.79498233e-13 9.70121846e-03]\n  [9.86130238e-01 4.74007261e-14 2.52484145e-12 1.38696581e-02]\n  [9.85780656e-01 2.72467528e-14 2.05579694e-12 1.42193371e-02]]\n\n ...\n\n [[9.28839624e-01 8.38205960e-06 2.85125552e-05 7.11233467e-02]\n  [9.23812151e-01 1.50426800e-07 7.51791163e-07 7.61869028e-02]\n  [9.23429549e-01 6.41608366e-08 5.44425006e-07 7.65697435e-02]\n  [9.21753407e-01 8.90598955e-08 8.74417935e-07 7.82455727e-02]\n  [9.20784175e-01 1.00093672e-07 1.00710645e-06 7.92147219e-02]]\n\n [[9.09053922e-01 2.81074026e-05 8.78202700e-05 9.08301696e-02]\n  [9.11161840e-01 6.71602493e-07 2.88557362e-06 8.88345018e-02]\n  [9.19063032e-01 2.94164181e-07 1.96332985e-06 8.09347406e-02]\n  [9.13900912e-01 3.72886035e-07 2.78467473e-06 8.60958621e-02]\n  [9.10245836e-01 4.00929792e-07 3.26104600e-06 8.97504389e-02]]\n\n [[8.63038838e-01 5.21801994e-04 1.31283887e-03 1.35126442e-01]\n  [9.02534544e-01 4.52263084e-05 1.32054935e-04 9.72883180e-02]\n  [9.11888599e-01 3.27190610e-05 1.07403284e-04 8.79713073e-02]\n  [9.04273093e-01 4.31851331e-05 1.48532810e-04 9.55351368e-02]\n  [8.94510150e-01 4.87437137e-05 1.73164837e-04 1.05267964e-01]]]\nPredicted mask after argmax for 2008_000824: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000824 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000824. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000829.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000829: (1, 256, 256, 4)\nSome predicted mask values: [[[9.45557535e-01 1.48728050e-05 2.74704089e-05 5.44000641e-02]\n  [9.65178311e-01 1.40954057e-07 2.68877670e-07 3.48213837e-02]\n  [9.70017016e-01 3.25690692e-08 9.50881685e-08 2.99828909e-02]\n  [9.67197239e-01 4.18952517e-08 1.49928525e-07 3.28026228e-02]\n  [9.63986456e-01 4.63696281e-08 1.85577761e-07 3.60133909e-02]]\n\n [[9.77463901e-01 4.41627570e-08 1.54841260e-07 2.25359760e-02]\n  [9.75662529e-01 1.05970885e-10 4.21939927e-10 2.43374109e-02]\n  [9.71590340e-01 3.05415172e-11 2.30688704e-10 2.84097120e-02]\n  [9.65589941e-01 7.69408773e-11 8.17156121e-10 3.44100147e-02]\n  [9.61809933e-01 9.60437493e-11 1.29405830e-09 3.81900445e-02]]\n\n [[9.88842010e-01 3.26588978e-09 1.72548695e-08 1.11579150e-02]\n  [9.86621439e-01 5.57669319e-12 4.07522245e-11 1.33784786e-02]\n  [9.81553435e-01 2.24220404e-12 4.33186646e-11 1.84465535e-02]\n  [9.72650945e-01 7.98114786e-12 2.23929611e-10 2.73489747e-02]\n  [9.70092595e-01 8.98122202e-12 3.15273252e-10 2.99074315e-02]]\n\n ...\n\n [[9.45118189e-01 1.83286159e-06 7.44436511e-06 5.48725985e-02]\n  [9.47189748e-01 1.18917090e-08 7.86900287e-08 5.28101809e-02]\n  [9.49775696e-01 2.63782374e-09 3.36562209e-08 5.02242558e-02]\n  [9.52204704e-01 2.46001242e-09 3.91484676e-08 4.77953441e-02]\n  [9.53700781e-01 2.18636220e-09 3.64037014e-08 4.62992527e-02]]\n\n [[9.26390469e-01 8.33853028e-06 3.03975830e-05 7.35707805e-02]\n  [9.33393300e-01 8.91435477e-08 4.79093728e-07 6.66061118e-02]\n  [9.43552434e-01 2.28862547e-08 2.10202131e-07 5.64473532e-02]\n  [9.41494823e-01 2.08790478e-08 2.27243873e-07 5.85049763e-02]\n  [9.42359030e-01 1.74355179e-08 2.16951392e-07 5.76407239e-02]]\n\n [[8.81719708e-01 2.46797863e-04 6.92973495e-04 1.17340513e-01]\n  [9.21775937e-01 1.33671874e-05 4.49074905e-05 7.81657398e-02]\n  [9.33533847e-01 6.99776456e-06 2.74091963e-05 6.64318353e-02]\n  [9.29950953e-01 7.79761103e-06 3.29057148e-05 7.00082853e-02]\n  [9.24665213e-01 7.63739718e-06 3.41005216e-05 7.52931163e-02]]]\nPredicted mask after argmax for 2008_000829: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000829 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000829. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000829.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000829: (1, 256, 256, 4)\nSome predicted mask values: [[[9.45557535e-01 1.48728050e-05 2.74704089e-05 5.44000641e-02]\n  [9.65178311e-01 1.40954057e-07 2.68877670e-07 3.48213837e-02]\n  [9.70017016e-01 3.25690692e-08 9.50881685e-08 2.99828909e-02]\n  [9.67197239e-01 4.18952517e-08 1.49928525e-07 3.28026228e-02]\n  [9.63986456e-01 4.63696281e-08 1.85577761e-07 3.60133909e-02]]\n\n [[9.77463901e-01 4.41627570e-08 1.54841260e-07 2.25359760e-02]\n  [9.75662529e-01 1.05970885e-10 4.21939927e-10 2.43374109e-02]\n  [9.71590340e-01 3.05415172e-11 2.30688704e-10 2.84097120e-02]\n  [9.65589941e-01 7.69408773e-11 8.17156121e-10 3.44100147e-02]\n  [9.61809933e-01 9.60437493e-11 1.29405830e-09 3.81900445e-02]]\n\n [[9.88842010e-01 3.26588978e-09 1.72548695e-08 1.11579150e-02]\n  [9.86621439e-01 5.57669319e-12 4.07522245e-11 1.33784786e-02]\n  [9.81553435e-01 2.24220404e-12 4.33186646e-11 1.84465535e-02]\n  [9.72650945e-01 7.98114786e-12 2.23929611e-10 2.73489747e-02]\n  [9.70092595e-01 8.98122202e-12 3.15273252e-10 2.99074315e-02]]\n\n ...\n\n [[9.45118189e-01 1.83286159e-06 7.44436511e-06 5.48725985e-02]\n  [9.47189748e-01 1.18917090e-08 7.86900287e-08 5.28101809e-02]\n  [9.49775696e-01 2.63782374e-09 3.36562209e-08 5.02242558e-02]\n  [9.52204704e-01 2.46001242e-09 3.91484676e-08 4.77953441e-02]\n  [9.53700781e-01 2.18636220e-09 3.64037014e-08 4.62992527e-02]]\n\n [[9.26390469e-01 8.33853028e-06 3.03975830e-05 7.35707805e-02]\n  [9.33393300e-01 8.91435477e-08 4.79093728e-07 6.66061118e-02]\n  [9.43552434e-01 2.28862547e-08 2.10202131e-07 5.64473532e-02]\n  [9.41494823e-01 2.08790478e-08 2.27243873e-07 5.85049763e-02]\n  [9.42359030e-01 1.74355179e-08 2.16951392e-07 5.76407239e-02]]\n\n [[8.81719708e-01 2.46797863e-04 6.92973495e-04 1.17340513e-01]\n  [9.21775937e-01 1.33671874e-05 4.49074905e-05 7.81657398e-02]\n  [9.33533847e-01 6.99776456e-06 2.74091963e-05 6.64318353e-02]\n  [9.29950953e-01 7.79761103e-06 3.29057148e-05 7.00082853e-02]\n  [9.24665213e-01 7.63739718e-06 3.41005216e-05 7.52931163e-02]]]\nPredicted mask after argmax for 2008_000829: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000829 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000829. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000829.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000829: (1, 256, 256, 4)\nSome predicted mask values: [[[9.45557535e-01 1.48728050e-05 2.74704089e-05 5.44000641e-02]\n  [9.65178311e-01 1.40954057e-07 2.68877670e-07 3.48213837e-02]\n  [9.70017016e-01 3.25690692e-08 9.50881685e-08 2.99828909e-02]\n  [9.67197239e-01 4.18952517e-08 1.49928525e-07 3.28026228e-02]\n  [9.63986456e-01 4.63696281e-08 1.85577761e-07 3.60133909e-02]]\n\n [[9.77463901e-01 4.41627570e-08 1.54841260e-07 2.25359760e-02]\n  [9.75662529e-01 1.05970885e-10 4.21939927e-10 2.43374109e-02]\n  [9.71590340e-01 3.05415172e-11 2.30688704e-10 2.84097120e-02]\n  [9.65589941e-01 7.69408773e-11 8.17156121e-10 3.44100147e-02]\n  [9.61809933e-01 9.60437493e-11 1.29405830e-09 3.81900445e-02]]\n\n [[9.88842010e-01 3.26588978e-09 1.72548695e-08 1.11579150e-02]\n  [9.86621439e-01 5.57669319e-12 4.07522245e-11 1.33784786e-02]\n  [9.81553435e-01 2.24220404e-12 4.33186646e-11 1.84465535e-02]\n  [9.72650945e-01 7.98114786e-12 2.23929611e-10 2.73489747e-02]\n  [9.70092595e-01 8.98122202e-12 3.15273252e-10 2.99074315e-02]]\n\n ...\n\n [[9.45118189e-01 1.83286159e-06 7.44436511e-06 5.48725985e-02]\n  [9.47189748e-01 1.18917090e-08 7.86900287e-08 5.28101809e-02]\n  [9.49775696e-01 2.63782374e-09 3.36562209e-08 5.02242558e-02]\n  [9.52204704e-01 2.46001242e-09 3.91484676e-08 4.77953441e-02]\n  [9.53700781e-01 2.18636220e-09 3.64037014e-08 4.62992527e-02]]\n\n [[9.26390469e-01 8.33853028e-06 3.03975830e-05 7.35707805e-02]\n  [9.33393300e-01 8.91435477e-08 4.79093728e-07 6.66061118e-02]\n  [9.43552434e-01 2.28862547e-08 2.10202131e-07 5.64473532e-02]\n  [9.41494823e-01 2.08790478e-08 2.27243873e-07 5.85049763e-02]\n  [9.42359030e-01 1.74355179e-08 2.16951392e-07 5.76407239e-02]]\n\n [[8.81719708e-01 2.46797863e-04 6.92973495e-04 1.17340513e-01]\n  [9.21775937e-01 1.33671874e-05 4.49074905e-05 7.81657398e-02]\n  [9.33533847e-01 6.99776456e-06 2.74091963e-05 6.64318353e-02]\n  [9.29950953e-01 7.79761103e-06 3.29057148e-05 7.00082853e-02]\n  [9.24665213e-01 7.63739718e-06 3.41005216e-05 7.52931163e-02]]]\nPredicted mask after argmax for 2008_000829: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000829 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000829. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000837.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000837: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94065881e-01 8.87136531e-10 3.30404926e-09 5.93410898e-03]\n  [9.98585343e-01 2.98617772e-14 1.34850505e-13 1.41469145e-03]\n  [9.99216795e-01 1.09154637e-15 6.71436665e-15 7.83219759e-04]\n  [9.99223828e-01 2.70891830e-15 1.58206815e-14 7.76223140e-04]\n  [9.98917818e-01 1.63626708e-14 8.19346964e-14 1.08219869e-03]]\n\n [[9.98121917e-01 5.37811576e-14 5.82165826e-13 1.87810289e-03]\n  [9.98700261e-01 1.68186511e-19 2.68305565e-18 1.29971339e-03]\n  [9.98359621e-01 1.51616956e-20 3.87018525e-19 1.64036185e-03]\n  [9.97724950e-01 2.79070007e-19 7.31190604e-18 2.27504247e-03]\n  [9.96117115e-01 4.95077233e-18 1.28869710e-16 3.88294761e-03]]\n\n [[9.99404311e-01 1.13463991e-15 2.79279282e-14 5.95643185e-04]\n  [9.99523818e-01 2.39491022e-21 1.37634802e-19 4.76074551e-04]\n  [9.99254525e-01 5.13980265e-22 8.92116359e-20 7.45487108e-04]\n  [9.98499274e-01 3.04802226e-20 5.84486565e-18 1.50076777e-03]\n  [9.96674180e-01 1.00867500e-18 1.73638551e-16 3.32584023e-03]]\n\n ...\n\n [[8.78367186e-01 7.37347800e-05 2.20094211e-04 1.21339008e-01]\n  [8.77508283e-01 2.06297136e-06 1.02434724e-05 1.22479372e-01]\n  [8.95258188e-01 5.59086345e-07 4.05213314e-06 1.04737222e-01]\n  [9.02308702e-01 4.58962433e-07 3.82291637e-06 9.76870283e-02]\n  [9.06018913e-01 3.23907017e-07 2.87674970e-06 9.39778313e-02]]\n\n [[8.59596610e-01 2.02367984e-04 5.35231433e-04 1.39665782e-01]\n  [8.66870701e-01 8.86613634e-06 3.37959646e-05 1.33086637e-01]\n  [8.86348426e-01 3.22662436e-06 1.69883751e-05 1.13631248e-01]\n  [8.85059655e-01 2.93875269e-06 1.71296051e-05 1.14920303e-01]\n  [8.88486683e-01 1.95993334e-06 1.30409826e-05 1.11498229e-01]]\n\n [[8.13413918e-01 1.92239659e-03 4.14945697e-03 1.80514246e-01]\n  [8.63703489e-01 2.63825583e-04 6.46651490e-04 1.35385960e-01]\n  [8.78717124e-01 1.73822453e-04 4.74464876e-04 1.20634727e-01]\n  [8.75849783e-01 1.76146146e-04 5.01674542e-04 1.23472385e-01]\n  [8.74475658e-01 1.41444252e-04 4.27140127e-04 1.24955803e-01]]]\nPredicted mask after argmax for 2008_000837: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000837 has shape: (490, 327)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000837. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000837.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000837: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94065881e-01 8.87136531e-10 3.30404926e-09 5.93410898e-03]\n  [9.98585343e-01 2.98617772e-14 1.34850505e-13 1.41469145e-03]\n  [9.99216795e-01 1.09154637e-15 6.71436665e-15 7.83219759e-04]\n  [9.99223828e-01 2.70891830e-15 1.58206815e-14 7.76223140e-04]\n  [9.98917818e-01 1.63626708e-14 8.19346964e-14 1.08219869e-03]]\n\n [[9.98121917e-01 5.37811576e-14 5.82165826e-13 1.87810289e-03]\n  [9.98700261e-01 1.68186511e-19 2.68305565e-18 1.29971339e-03]\n  [9.98359621e-01 1.51616956e-20 3.87018525e-19 1.64036185e-03]\n  [9.97724950e-01 2.79070007e-19 7.31190604e-18 2.27504247e-03]\n  [9.96117115e-01 4.95077233e-18 1.28869710e-16 3.88294761e-03]]\n\n [[9.99404311e-01 1.13463991e-15 2.79279282e-14 5.95643185e-04]\n  [9.99523818e-01 2.39491022e-21 1.37634802e-19 4.76074551e-04]\n  [9.99254525e-01 5.13980265e-22 8.92116359e-20 7.45487108e-04]\n  [9.98499274e-01 3.04802226e-20 5.84486565e-18 1.50076777e-03]\n  [9.96674180e-01 1.00867500e-18 1.73638551e-16 3.32584023e-03]]\n\n ...\n\n [[8.78367186e-01 7.37347800e-05 2.20094211e-04 1.21339008e-01]\n  [8.77508283e-01 2.06297136e-06 1.02434724e-05 1.22479372e-01]\n  [8.95258188e-01 5.59086345e-07 4.05213314e-06 1.04737222e-01]\n  [9.02308702e-01 4.58962433e-07 3.82291637e-06 9.76870283e-02]\n  [9.06018913e-01 3.23907017e-07 2.87674970e-06 9.39778313e-02]]\n\n [[8.59596610e-01 2.02367984e-04 5.35231433e-04 1.39665782e-01]\n  [8.66870701e-01 8.86613634e-06 3.37959646e-05 1.33086637e-01]\n  [8.86348426e-01 3.22662436e-06 1.69883751e-05 1.13631248e-01]\n  [8.85059655e-01 2.93875269e-06 1.71296051e-05 1.14920303e-01]\n  [8.88486683e-01 1.95993334e-06 1.30409826e-05 1.11498229e-01]]\n\n [[8.13413918e-01 1.92239659e-03 4.14945697e-03 1.80514246e-01]\n  [8.63703489e-01 2.63825583e-04 6.46651490e-04 1.35385960e-01]\n  [8.78717124e-01 1.73822453e-04 4.74464876e-04 1.20634727e-01]\n  [8.75849783e-01 1.76146146e-04 5.01674542e-04 1.23472385e-01]\n  [8.74475658e-01 1.41444252e-04 4.27140127e-04 1.24955803e-01]]]\nPredicted mask after argmax for 2008_000837: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000837 has shape: (490, 327)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000837. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000837.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000837: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94065881e-01 8.87136531e-10 3.30404926e-09 5.93410898e-03]\n  [9.98585343e-01 2.98617772e-14 1.34850505e-13 1.41469145e-03]\n  [9.99216795e-01 1.09154637e-15 6.71436665e-15 7.83219759e-04]\n  [9.99223828e-01 2.70891830e-15 1.58206815e-14 7.76223140e-04]\n  [9.98917818e-01 1.63626708e-14 8.19346964e-14 1.08219869e-03]]\n\n [[9.98121917e-01 5.37811576e-14 5.82165826e-13 1.87810289e-03]\n  [9.98700261e-01 1.68186511e-19 2.68305565e-18 1.29971339e-03]\n  [9.98359621e-01 1.51616956e-20 3.87018525e-19 1.64036185e-03]\n  [9.97724950e-01 2.79070007e-19 7.31190604e-18 2.27504247e-03]\n  [9.96117115e-01 4.95077233e-18 1.28869710e-16 3.88294761e-03]]\n\n [[9.99404311e-01 1.13463991e-15 2.79279282e-14 5.95643185e-04]\n  [9.99523818e-01 2.39491022e-21 1.37634802e-19 4.76074551e-04]\n  [9.99254525e-01 5.13980265e-22 8.92116359e-20 7.45487108e-04]\n  [9.98499274e-01 3.04802226e-20 5.84486565e-18 1.50076777e-03]\n  [9.96674180e-01 1.00867500e-18 1.73638551e-16 3.32584023e-03]]\n\n ...\n\n [[8.78367186e-01 7.37347800e-05 2.20094211e-04 1.21339008e-01]\n  [8.77508283e-01 2.06297136e-06 1.02434724e-05 1.22479372e-01]\n  [8.95258188e-01 5.59086345e-07 4.05213314e-06 1.04737222e-01]\n  [9.02308702e-01 4.58962433e-07 3.82291637e-06 9.76870283e-02]\n  [9.06018913e-01 3.23907017e-07 2.87674970e-06 9.39778313e-02]]\n\n [[8.59596610e-01 2.02367984e-04 5.35231433e-04 1.39665782e-01]\n  [8.66870701e-01 8.86613634e-06 3.37959646e-05 1.33086637e-01]\n  [8.86348426e-01 3.22662436e-06 1.69883751e-05 1.13631248e-01]\n  [8.85059655e-01 2.93875269e-06 1.71296051e-05 1.14920303e-01]\n  [8.88486683e-01 1.95993334e-06 1.30409826e-05 1.11498229e-01]]\n\n [[8.13413918e-01 1.92239659e-03 4.14945697e-03 1.80514246e-01]\n  [8.63703489e-01 2.63825583e-04 6.46651490e-04 1.35385960e-01]\n  [8.78717124e-01 1.73822453e-04 4.74464876e-04 1.20634727e-01]\n  [8.75849783e-01 1.76146146e-04 5.01674542e-04 1.23472385e-01]\n  [8.74475658e-01 1.41444252e-04 4.27140127e-04 1.24955803e-01]]]\nPredicted mask after argmax for 2008_000837: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000837 has shape: (490, 327)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000837. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000837.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000837: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94065881e-01 8.87136531e-10 3.30404926e-09 5.93410898e-03]\n  [9.98585343e-01 2.98617772e-14 1.34850505e-13 1.41469145e-03]\n  [9.99216795e-01 1.09154637e-15 6.71436665e-15 7.83219759e-04]\n  [9.99223828e-01 2.70891830e-15 1.58206815e-14 7.76223140e-04]\n  [9.98917818e-01 1.63626708e-14 8.19346964e-14 1.08219869e-03]]\n\n [[9.98121917e-01 5.37811576e-14 5.82165826e-13 1.87810289e-03]\n  [9.98700261e-01 1.68186511e-19 2.68305565e-18 1.29971339e-03]\n  [9.98359621e-01 1.51616956e-20 3.87018525e-19 1.64036185e-03]\n  [9.97724950e-01 2.79070007e-19 7.31190604e-18 2.27504247e-03]\n  [9.96117115e-01 4.95077233e-18 1.28869710e-16 3.88294761e-03]]\n\n [[9.99404311e-01 1.13463991e-15 2.79279282e-14 5.95643185e-04]\n  [9.99523818e-01 2.39491022e-21 1.37634802e-19 4.76074551e-04]\n  [9.99254525e-01 5.13980265e-22 8.92116359e-20 7.45487108e-04]\n  [9.98499274e-01 3.04802226e-20 5.84486565e-18 1.50076777e-03]\n  [9.96674180e-01 1.00867500e-18 1.73638551e-16 3.32584023e-03]]\n\n ...\n\n [[8.78367186e-01 7.37347800e-05 2.20094211e-04 1.21339008e-01]\n  [8.77508283e-01 2.06297136e-06 1.02434724e-05 1.22479372e-01]\n  [8.95258188e-01 5.59086345e-07 4.05213314e-06 1.04737222e-01]\n  [9.02308702e-01 4.58962433e-07 3.82291637e-06 9.76870283e-02]\n  [9.06018913e-01 3.23907017e-07 2.87674970e-06 9.39778313e-02]]\n\n [[8.59596610e-01 2.02367984e-04 5.35231433e-04 1.39665782e-01]\n  [8.66870701e-01 8.86613634e-06 3.37959646e-05 1.33086637e-01]\n  [8.86348426e-01 3.22662436e-06 1.69883751e-05 1.13631248e-01]\n  [8.85059655e-01 2.93875269e-06 1.71296051e-05 1.14920303e-01]\n  [8.88486683e-01 1.95993334e-06 1.30409826e-05 1.11498229e-01]]\n\n [[8.13413918e-01 1.92239659e-03 4.14945697e-03 1.80514246e-01]\n  [8.63703489e-01 2.63825583e-04 6.46651490e-04 1.35385960e-01]\n  [8.78717124e-01 1.73822453e-04 4.74464876e-04 1.20634727e-01]\n  [8.75849783e-01 1.76146146e-04 5.01674542e-04 1.23472385e-01]\n  [8.74475658e-01 1.41444252e-04 4.27140127e-04 1.24955803e-01]]]\nPredicted mask after argmax for 2008_000837: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000837 has shape: (490, 327)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000837. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000839.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000839: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86397862e-01 4.49404567e-08 1.16567108e-07 1.36019336e-02]\n  [9.94331598e-01 2.12915952e-11 5.46251794e-11 5.66843525e-03]\n  [9.96330619e-01 8.91846655e-13 4.34306020e-12 3.66931385e-03]\n  [9.96484756e-01 4.67741731e-13 3.27011465e-12 3.51521769e-03]\n  [9.96765852e-01 1.94753664e-13 1.70528836e-12 3.23408726e-03]]\n\n [[9.96130586e-01 8.51332286e-12 5.54789131e-11 3.86944250e-03]\n  [9.96297777e-01 4.57848466e-16 3.63162157e-15 3.70226172e-03]\n  [9.95833397e-01 2.40079975e-17 4.86091933e-16 4.16658632e-03]\n  [9.95250940e-01 2.89667533e-17 1.04991618e-15 4.74905875e-03]\n  [9.95277643e-01 1.15772091e-17 6.61590595e-16 4.72234329e-03]]\n\n [[9.98667359e-01 2.16469312e-13 2.59986845e-12 1.33259932e-03]\n  [9.98519123e-01 7.93940856e-18 1.61374745e-16 1.48089579e-03]\n  [9.97774541e-01 7.35512457e-19 6.76677284e-17 2.22544419e-03]\n  [9.96554613e-01 1.60446921e-18 3.04399554e-16 3.44534894e-03]\n  [9.96450305e-01 6.41801579e-19 2.03872532e-16 3.54969129e-03]]\n\n ...\n\n [[9.49659586e-01 8.53247514e-07 3.79493008e-06 5.03356829e-02]\n  [9.53141451e-01 4.33249081e-09 3.43593030e-08 4.68585454e-02]\n  [9.51424479e-01 1.48675838e-09 2.06700541e-08 4.85754572e-02]\n  [9.48938727e-01 3.18028026e-09 4.96115966e-08 5.10613136e-02]\n  [9.43528712e-01 6.51704557e-09 9.63754658e-08 5.64711727e-02]]\n\n [[9.34233010e-01 3.29229329e-06 1.36649296e-05 6.57499954e-02]\n  [9.43497479e-01 2.48833611e-08 1.62752897e-07 5.65023273e-02]\n  [9.48374331e-01 9.50928047e-09 9.85318778e-08 5.16255461e-02]\n  [9.41671133e-01 1.83104039e-08 2.02720713e-07 5.83286695e-02]\n  [9.34036195e-01 3.23991003e-08 3.81350219e-07 6.59634620e-02]]\n\n [[8.93341422e-01 1.22539714e-04 3.85334482e-04 1.06150724e-01]\n  [9.31997240e-01 5.41102645e-06 2.01436669e-05 6.79771528e-02]\n  [9.41177130e-01 3.47292121e-06 1.49615344e-05 5.88045269e-02]\n  [9.32686985e-01 6.27202780e-06 2.77628060e-05 6.72790334e-02]\n  [9.21576917e-01 1.00296384e-05 4.44232865e-05 7.83686787e-02]]]\nPredicted mask after argmax for 2008_000839: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000839 has shape: (500, 495)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000839. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000839.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000839: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86397862e-01 4.49404567e-08 1.16567108e-07 1.36019336e-02]\n  [9.94331598e-01 2.12915952e-11 5.46251794e-11 5.66843525e-03]\n  [9.96330619e-01 8.91846655e-13 4.34306020e-12 3.66931385e-03]\n  [9.96484756e-01 4.67741731e-13 3.27011465e-12 3.51521769e-03]\n  [9.96765852e-01 1.94753664e-13 1.70528836e-12 3.23408726e-03]]\n\n [[9.96130586e-01 8.51332286e-12 5.54789131e-11 3.86944250e-03]\n  [9.96297777e-01 4.57848466e-16 3.63162157e-15 3.70226172e-03]\n  [9.95833397e-01 2.40079975e-17 4.86091933e-16 4.16658632e-03]\n  [9.95250940e-01 2.89667533e-17 1.04991618e-15 4.74905875e-03]\n  [9.95277643e-01 1.15772091e-17 6.61590595e-16 4.72234329e-03]]\n\n [[9.98667359e-01 2.16469312e-13 2.59986845e-12 1.33259932e-03]\n  [9.98519123e-01 7.93940856e-18 1.61374745e-16 1.48089579e-03]\n  [9.97774541e-01 7.35512457e-19 6.76677284e-17 2.22544419e-03]\n  [9.96554613e-01 1.60446921e-18 3.04399554e-16 3.44534894e-03]\n  [9.96450305e-01 6.41801579e-19 2.03872532e-16 3.54969129e-03]]\n\n ...\n\n [[9.49659586e-01 8.53247514e-07 3.79493008e-06 5.03356829e-02]\n  [9.53141451e-01 4.33249081e-09 3.43593030e-08 4.68585454e-02]\n  [9.51424479e-01 1.48675838e-09 2.06700541e-08 4.85754572e-02]\n  [9.48938727e-01 3.18028026e-09 4.96115966e-08 5.10613136e-02]\n  [9.43528712e-01 6.51704557e-09 9.63754658e-08 5.64711727e-02]]\n\n [[9.34233010e-01 3.29229329e-06 1.36649296e-05 6.57499954e-02]\n  [9.43497479e-01 2.48833611e-08 1.62752897e-07 5.65023273e-02]\n  [9.48374331e-01 9.50928047e-09 9.85318778e-08 5.16255461e-02]\n  [9.41671133e-01 1.83104039e-08 2.02720713e-07 5.83286695e-02]\n  [9.34036195e-01 3.23991003e-08 3.81350219e-07 6.59634620e-02]]\n\n [[8.93341422e-01 1.22539714e-04 3.85334482e-04 1.06150724e-01]\n  [9.31997240e-01 5.41102645e-06 2.01436669e-05 6.79771528e-02]\n  [9.41177130e-01 3.47292121e-06 1.49615344e-05 5.88045269e-02]\n  [9.32686985e-01 6.27202780e-06 2.77628060e-05 6.72790334e-02]\n  [9.21576917e-01 1.00296384e-05 4.44232865e-05 7.83686787e-02]]]\nPredicted mask after argmax for 2008_000839: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000839 has shape: (500, 495)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000839. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000847.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000847: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75371361e-01 7.09025358e-07 1.55325972e-06 2.46264786e-02]\n  [9.88476396e-01 1.38550504e-09 2.62333089e-09 1.15236687e-02]\n  [9.92046237e-01 9.22179486e-11 2.83670115e-10 7.95373507e-03]\n  [9.92725074e-01 3.68821779e-11 1.59696922e-10 7.27490010e-03]\n  [9.93779719e-01 1.20638135e-11 6.28281108e-11 6.22021919e-03]]\n\n [[9.91426468e-01 5.81294790e-10 2.67486922e-09 8.57355725e-03]\n  [9.91466522e-01 1.77915110e-13 8.70562791e-13 8.53343029e-03]\n  [9.89716709e-01 1.68276309e-14 1.68411251e-13 1.02833603e-02]\n  [9.88861501e-01 1.40801059e-14 2.43972594e-13 1.11385407e-02]\n  [9.89378154e-01 4.44617885e-15 1.13376641e-13 1.06218802e-02]]\n\n [[9.96708751e-01 1.88833914e-11 1.44847592e-10 3.29120341e-03]\n  [9.96291697e-01 4.43744298e-15 4.79857107e-14 3.70821054e-03]\n  [9.94413853e-01 7.19952965e-16 2.84606458e-14 5.58609329e-03]\n  [9.91488457e-01 1.20206035e-15 9.20122675e-14 8.51159636e-03]\n  [9.91531491e-01 4.01859350e-16 4.99415200e-14 8.46849009e-03]]\n\n ...\n\n [[9.22521412e-01 9.00756368e-06 3.17970407e-05 7.74377808e-02]\n  [9.24252868e-01 1.15825976e-07 6.46748504e-07 7.57463276e-02]\n  [9.27777410e-01 3.62592587e-08 3.41377557e-07 7.22222552e-02]\n  [9.28611159e-01 4.30773319e-08 4.73853135e-07 7.13883713e-02]\n  [9.27513957e-01 4.92236545e-08 5.48929847e-07 7.24854767e-02]]\n\n [[9.03163016e-01 2.98973246e-05 9.69062312e-05 9.67101231e-02]\n  [9.11038935e-01 5.46593299e-07 2.59038984e-06 8.89579132e-02]\n  [9.22652781e-01 1.84295729e-07 1.34640959e-06 7.73456544e-02]\n  [9.19704080e-01 2.01314364e-07 1.65127278e-06 8.02940503e-02]\n  [9.16907012e-01 2.10848143e-07 1.89188358e-06 8.30909610e-02]]\n\n [[8.57637942e-01 5.47248288e-04 1.40420534e-03 1.40410602e-01]\n  [9.01751101e-01 4.15945724e-05 1.26354658e-04 9.80809927e-02]\n  [9.14940000e-01 2.48877623e-05 8.69831347e-05 8.49481001e-02]\n  [9.09638762e-01 2.98211653e-05 1.09236818e-04 9.02221650e-02]\n  [9.01819944e-01 3.30476396e-05 1.24259604e-04 9.80228558e-02]]]\nPredicted mask after argmax for 2008_000847: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000847 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000847. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000847.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000847: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75371361e-01 7.09025358e-07 1.55325972e-06 2.46264786e-02]\n  [9.88476396e-01 1.38550504e-09 2.62333089e-09 1.15236687e-02]\n  [9.92046237e-01 9.22179486e-11 2.83670115e-10 7.95373507e-03]\n  [9.92725074e-01 3.68821779e-11 1.59696922e-10 7.27490010e-03]\n  [9.93779719e-01 1.20638135e-11 6.28281108e-11 6.22021919e-03]]\n\n [[9.91426468e-01 5.81294790e-10 2.67486922e-09 8.57355725e-03]\n  [9.91466522e-01 1.77915110e-13 8.70562791e-13 8.53343029e-03]\n  [9.89716709e-01 1.68276309e-14 1.68411251e-13 1.02833603e-02]\n  [9.88861501e-01 1.40801059e-14 2.43972594e-13 1.11385407e-02]\n  [9.89378154e-01 4.44617885e-15 1.13376641e-13 1.06218802e-02]]\n\n [[9.96708751e-01 1.88833914e-11 1.44847592e-10 3.29120341e-03]\n  [9.96291697e-01 4.43744298e-15 4.79857107e-14 3.70821054e-03]\n  [9.94413853e-01 7.19952965e-16 2.84606458e-14 5.58609329e-03]\n  [9.91488457e-01 1.20206035e-15 9.20122675e-14 8.51159636e-03]\n  [9.91531491e-01 4.01859350e-16 4.99415200e-14 8.46849009e-03]]\n\n ...\n\n [[9.22521412e-01 9.00756368e-06 3.17970407e-05 7.74377808e-02]\n  [9.24252868e-01 1.15825976e-07 6.46748504e-07 7.57463276e-02]\n  [9.27777410e-01 3.62592587e-08 3.41377557e-07 7.22222552e-02]\n  [9.28611159e-01 4.30773319e-08 4.73853135e-07 7.13883713e-02]\n  [9.27513957e-01 4.92236545e-08 5.48929847e-07 7.24854767e-02]]\n\n [[9.03163016e-01 2.98973246e-05 9.69062312e-05 9.67101231e-02]\n  [9.11038935e-01 5.46593299e-07 2.59038984e-06 8.89579132e-02]\n  [9.22652781e-01 1.84295729e-07 1.34640959e-06 7.73456544e-02]\n  [9.19704080e-01 2.01314364e-07 1.65127278e-06 8.02940503e-02]\n  [9.16907012e-01 2.10848143e-07 1.89188358e-06 8.30909610e-02]]\n\n [[8.57637942e-01 5.47248288e-04 1.40420534e-03 1.40410602e-01]\n  [9.01751101e-01 4.15945724e-05 1.26354658e-04 9.80809927e-02]\n  [9.14940000e-01 2.48877623e-05 8.69831347e-05 8.49481001e-02]\n  [9.09638762e-01 2.98211653e-05 1.09236818e-04 9.02221650e-02]\n  [9.01819944e-01 3.30476396e-05 1.24259604e-04 9.80228558e-02]]]\nPredicted mask after argmax for 2008_000847: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000847 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000847. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000847.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000847: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75371361e-01 7.09025358e-07 1.55325972e-06 2.46264786e-02]\n  [9.88476396e-01 1.38550504e-09 2.62333089e-09 1.15236687e-02]\n  [9.92046237e-01 9.22179486e-11 2.83670115e-10 7.95373507e-03]\n  [9.92725074e-01 3.68821779e-11 1.59696922e-10 7.27490010e-03]\n  [9.93779719e-01 1.20638135e-11 6.28281108e-11 6.22021919e-03]]\n\n [[9.91426468e-01 5.81294790e-10 2.67486922e-09 8.57355725e-03]\n  [9.91466522e-01 1.77915110e-13 8.70562791e-13 8.53343029e-03]\n  [9.89716709e-01 1.68276309e-14 1.68411251e-13 1.02833603e-02]\n  [9.88861501e-01 1.40801059e-14 2.43972594e-13 1.11385407e-02]\n  [9.89378154e-01 4.44617885e-15 1.13376641e-13 1.06218802e-02]]\n\n [[9.96708751e-01 1.88833914e-11 1.44847592e-10 3.29120341e-03]\n  [9.96291697e-01 4.43744298e-15 4.79857107e-14 3.70821054e-03]\n  [9.94413853e-01 7.19952965e-16 2.84606458e-14 5.58609329e-03]\n  [9.91488457e-01 1.20206035e-15 9.20122675e-14 8.51159636e-03]\n  [9.91531491e-01 4.01859350e-16 4.99415200e-14 8.46849009e-03]]\n\n ...\n\n [[9.22521412e-01 9.00756368e-06 3.17970407e-05 7.74377808e-02]\n  [9.24252868e-01 1.15825976e-07 6.46748504e-07 7.57463276e-02]\n  [9.27777410e-01 3.62592587e-08 3.41377557e-07 7.22222552e-02]\n  [9.28611159e-01 4.30773319e-08 4.73853135e-07 7.13883713e-02]\n  [9.27513957e-01 4.92236545e-08 5.48929847e-07 7.24854767e-02]]\n\n [[9.03163016e-01 2.98973246e-05 9.69062312e-05 9.67101231e-02]\n  [9.11038935e-01 5.46593299e-07 2.59038984e-06 8.89579132e-02]\n  [9.22652781e-01 1.84295729e-07 1.34640959e-06 7.73456544e-02]\n  [9.19704080e-01 2.01314364e-07 1.65127278e-06 8.02940503e-02]\n  [9.16907012e-01 2.10848143e-07 1.89188358e-06 8.30909610e-02]]\n\n [[8.57637942e-01 5.47248288e-04 1.40420534e-03 1.40410602e-01]\n  [9.01751101e-01 4.15945724e-05 1.26354658e-04 9.80809927e-02]\n  [9.14940000e-01 2.48877623e-05 8.69831347e-05 8.49481001e-02]\n  [9.09638762e-01 2.98211653e-05 1.09236818e-04 9.02221650e-02]\n  [9.01819944e-01 3.30476396e-05 1.24259604e-04 9.80228558e-02]]]\nPredicted mask after argmax for 2008_000847: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000847 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000847. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000853.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000853: (1, 256, 256, 4)\nSome predicted mask values: [[[9.45299864e-01 1.80912921e-05 3.29090872e-05 5.46490997e-02]\n  [9.65727687e-01 1.89704920e-07 3.23618281e-07 3.42717394e-02]\n  [9.72195983e-01 3.43555548e-08 8.87710598e-08 2.78038997e-02]\n  [9.71728504e-01 2.75529572e-08 9.09944688e-08 2.82713808e-02]\n  [9.72006977e-01 1.82840036e-08 6.95910174e-08 2.79929321e-02]]\n\n [[9.76238906e-01 6.95812759e-08 2.31269027e-07 2.37607341e-02]\n  [9.74446237e-01 1.90889721e-10 6.77894518e-10 2.55538095e-02]\n  [9.69985127e-01 4.60259400e-11 2.96832309e-10 3.00148316e-02]\n  [9.65899467e-01 6.76735681e-11 6.47204679e-10 3.41005176e-02]\n  [9.64734733e-01 4.47251784e-11 5.71071634e-10 3.52652818e-02]]\n\n [[9.88032818e-01 5.53266455e-09 2.72302376e-08 1.19671803e-02]\n  [9.85624969e-01 1.20993016e-11 7.80115000e-11 1.43750235e-02]\n  [9.80024397e-01 4.24577517e-12 7.30556379e-11 1.99756566e-02]\n  [9.71339464e-01 9.44762671e-12 2.58790933e-10 2.86605675e-02]\n  [9.70628142e-01 5.50315696e-12 2.06811096e-10 2.93718502e-02]]\n\n ...\n\n [[9.00231957e-01 4.36428163e-05 1.22542478e-04 9.96017680e-02]\n  [8.87498856e-01 1.78744642e-06 7.19149284e-06 1.12492189e-01]\n  [8.90283465e-01 1.11297504e-06 6.50815264e-06 1.09709024e-01]\n  [8.82058918e-01 2.08894926e-06 1.31165352e-05 1.17925793e-01]\n  [8.77221525e-01 2.81973757e-06 1.75500172e-05 1.22758113e-01]]\n\n [[8.86072040e-01 9.33998890e-05 2.47848715e-04 1.13586798e-01]\n  [8.81337285e-01 4.70715531e-06 1.65549391e-05 1.18641406e-01]\n  [8.89744222e-01 3.28823330e-06 1.57131853e-05 1.10236868e-01]\n  [8.78256381e-01 5.89211459e-06 2.95299124e-05 1.21708229e-01]\n  [8.67078483e-01 7.87236968e-06 4.10198409e-05 1.32872596e-01]]\n\n [[8.43418360e-01 9.97575582e-04 2.23378860e-03 1.53350234e-01]\n  [8.83671522e-01 1.35648646e-04 3.40508181e-04 1.15852363e-01]\n  [8.88595760e-01 1.38989606e-04 3.70019261e-04 1.10895254e-01]\n  [8.75510037e-01 2.23003735e-04 6.01216685e-04 1.23665847e-01]\n  [8.61259103e-01 2.85776245e-04 7.69523554e-04 1.37685657e-01]]]\nPredicted mask after argmax for 2008_000853: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000853 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000853. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000853.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000853: (1, 256, 256, 4)\nSome predicted mask values: [[[9.45299864e-01 1.80912921e-05 3.29090872e-05 5.46490997e-02]\n  [9.65727687e-01 1.89704920e-07 3.23618281e-07 3.42717394e-02]\n  [9.72195983e-01 3.43555548e-08 8.87710598e-08 2.78038997e-02]\n  [9.71728504e-01 2.75529572e-08 9.09944688e-08 2.82713808e-02]\n  [9.72006977e-01 1.82840036e-08 6.95910174e-08 2.79929321e-02]]\n\n [[9.76238906e-01 6.95812759e-08 2.31269027e-07 2.37607341e-02]\n  [9.74446237e-01 1.90889721e-10 6.77894518e-10 2.55538095e-02]\n  [9.69985127e-01 4.60259400e-11 2.96832309e-10 3.00148316e-02]\n  [9.65899467e-01 6.76735681e-11 6.47204679e-10 3.41005176e-02]\n  [9.64734733e-01 4.47251784e-11 5.71071634e-10 3.52652818e-02]]\n\n [[9.88032818e-01 5.53266455e-09 2.72302376e-08 1.19671803e-02]\n  [9.85624969e-01 1.20993016e-11 7.80115000e-11 1.43750235e-02]\n  [9.80024397e-01 4.24577517e-12 7.30556379e-11 1.99756566e-02]\n  [9.71339464e-01 9.44762671e-12 2.58790933e-10 2.86605675e-02]\n  [9.70628142e-01 5.50315696e-12 2.06811096e-10 2.93718502e-02]]\n\n ...\n\n [[9.00231957e-01 4.36428163e-05 1.22542478e-04 9.96017680e-02]\n  [8.87498856e-01 1.78744642e-06 7.19149284e-06 1.12492189e-01]\n  [8.90283465e-01 1.11297504e-06 6.50815264e-06 1.09709024e-01]\n  [8.82058918e-01 2.08894926e-06 1.31165352e-05 1.17925793e-01]\n  [8.77221525e-01 2.81973757e-06 1.75500172e-05 1.22758113e-01]]\n\n [[8.86072040e-01 9.33998890e-05 2.47848715e-04 1.13586798e-01]\n  [8.81337285e-01 4.70715531e-06 1.65549391e-05 1.18641406e-01]\n  [8.89744222e-01 3.28823330e-06 1.57131853e-05 1.10236868e-01]\n  [8.78256381e-01 5.89211459e-06 2.95299124e-05 1.21708229e-01]\n  [8.67078483e-01 7.87236968e-06 4.10198409e-05 1.32872596e-01]]\n\n [[8.43418360e-01 9.97575582e-04 2.23378860e-03 1.53350234e-01]\n  [8.83671522e-01 1.35648646e-04 3.40508181e-04 1.15852363e-01]\n  [8.88595760e-01 1.38989606e-04 3.70019261e-04 1.10895254e-01]\n  [8.75510037e-01 2.23003735e-04 6.01216685e-04 1.23665847e-01]\n  [8.61259103e-01 2.85776245e-04 7.69523554e-04 1.37685657e-01]]]\nPredicted mask after argmax for 2008_000853: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000853 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000853. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000853.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000853: (1, 256, 256, 4)\nSome predicted mask values: [[[9.45299864e-01 1.80912921e-05 3.29090872e-05 5.46490997e-02]\n  [9.65727687e-01 1.89704920e-07 3.23618281e-07 3.42717394e-02]\n  [9.72195983e-01 3.43555548e-08 8.87710598e-08 2.78038997e-02]\n  [9.71728504e-01 2.75529572e-08 9.09944688e-08 2.82713808e-02]\n  [9.72006977e-01 1.82840036e-08 6.95910174e-08 2.79929321e-02]]\n\n [[9.76238906e-01 6.95812759e-08 2.31269027e-07 2.37607341e-02]\n  [9.74446237e-01 1.90889721e-10 6.77894518e-10 2.55538095e-02]\n  [9.69985127e-01 4.60259400e-11 2.96832309e-10 3.00148316e-02]\n  [9.65899467e-01 6.76735681e-11 6.47204679e-10 3.41005176e-02]\n  [9.64734733e-01 4.47251784e-11 5.71071634e-10 3.52652818e-02]]\n\n [[9.88032818e-01 5.53266455e-09 2.72302376e-08 1.19671803e-02]\n  [9.85624969e-01 1.20993016e-11 7.80115000e-11 1.43750235e-02]\n  [9.80024397e-01 4.24577517e-12 7.30556379e-11 1.99756566e-02]\n  [9.71339464e-01 9.44762671e-12 2.58790933e-10 2.86605675e-02]\n  [9.70628142e-01 5.50315696e-12 2.06811096e-10 2.93718502e-02]]\n\n ...\n\n [[9.00231957e-01 4.36428163e-05 1.22542478e-04 9.96017680e-02]\n  [8.87498856e-01 1.78744642e-06 7.19149284e-06 1.12492189e-01]\n  [8.90283465e-01 1.11297504e-06 6.50815264e-06 1.09709024e-01]\n  [8.82058918e-01 2.08894926e-06 1.31165352e-05 1.17925793e-01]\n  [8.77221525e-01 2.81973757e-06 1.75500172e-05 1.22758113e-01]]\n\n [[8.86072040e-01 9.33998890e-05 2.47848715e-04 1.13586798e-01]\n  [8.81337285e-01 4.70715531e-06 1.65549391e-05 1.18641406e-01]\n  [8.89744222e-01 3.28823330e-06 1.57131853e-05 1.10236868e-01]\n  [8.78256381e-01 5.89211459e-06 2.95299124e-05 1.21708229e-01]\n  [8.67078483e-01 7.87236968e-06 4.10198409e-05 1.32872596e-01]]\n\n [[8.43418360e-01 9.97575582e-04 2.23378860e-03 1.53350234e-01]\n  [8.83671522e-01 1.35648646e-04 3.40508181e-04 1.15852363e-01]\n  [8.88595760e-01 1.38989606e-04 3.70019261e-04 1.10895254e-01]\n  [8.75510037e-01 2.23003735e-04 6.01216685e-04 1.23665847e-01]\n  [8.61259103e-01 2.85776245e-04 7.69523554e-04 1.37685657e-01]]]\nPredicted mask after argmax for 2008_000853: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000853 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000853. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000853.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000853: (1, 256, 256, 4)\nSome predicted mask values: [[[9.45299864e-01 1.80912921e-05 3.29090872e-05 5.46490997e-02]\n  [9.65727687e-01 1.89704920e-07 3.23618281e-07 3.42717394e-02]\n  [9.72195983e-01 3.43555548e-08 8.87710598e-08 2.78038997e-02]\n  [9.71728504e-01 2.75529572e-08 9.09944688e-08 2.82713808e-02]\n  [9.72006977e-01 1.82840036e-08 6.95910174e-08 2.79929321e-02]]\n\n [[9.76238906e-01 6.95812759e-08 2.31269027e-07 2.37607341e-02]\n  [9.74446237e-01 1.90889721e-10 6.77894518e-10 2.55538095e-02]\n  [9.69985127e-01 4.60259400e-11 2.96832309e-10 3.00148316e-02]\n  [9.65899467e-01 6.76735681e-11 6.47204679e-10 3.41005176e-02]\n  [9.64734733e-01 4.47251784e-11 5.71071634e-10 3.52652818e-02]]\n\n [[9.88032818e-01 5.53266455e-09 2.72302376e-08 1.19671803e-02]\n  [9.85624969e-01 1.20993016e-11 7.80115000e-11 1.43750235e-02]\n  [9.80024397e-01 4.24577517e-12 7.30556379e-11 1.99756566e-02]\n  [9.71339464e-01 9.44762671e-12 2.58790933e-10 2.86605675e-02]\n  [9.70628142e-01 5.50315696e-12 2.06811096e-10 2.93718502e-02]]\n\n ...\n\n [[9.00231957e-01 4.36428163e-05 1.22542478e-04 9.96017680e-02]\n  [8.87498856e-01 1.78744642e-06 7.19149284e-06 1.12492189e-01]\n  [8.90283465e-01 1.11297504e-06 6.50815264e-06 1.09709024e-01]\n  [8.82058918e-01 2.08894926e-06 1.31165352e-05 1.17925793e-01]\n  [8.77221525e-01 2.81973757e-06 1.75500172e-05 1.22758113e-01]]\n\n [[8.86072040e-01 9.33998890e-05 2.47848715e-04 1.13586798e-01]\n  [8.81337285e-01 4.70715531e-06 1.65549391e-05 1.18641406e-01]\n  [8.89744222e-01 3.28823330e-06 1.57131853e-05 1.10236868e-01]\n  [8.78256381e-01 5.89211459e-06 2.95299124e-05 1.21708229e-01]\n  [8.67078483e-01 7.87236968e-06 4.10198409e-05 1.32872596e-01]]\n\n [[8.43418360e-01 9.97575582e-04 2.23378860e-03 1.53350234e-01]\n  [8.83671522e-01 1.35648646e-04 3.40508181e-04 1.15852363e-01]\n  [8.88595760e-01 1.38989606e-04 3.70019261e-04 1.10895254e-01]\n  [8.75510037e-01 2.23003735e-04 6.01216685e-04 1.23665847e-01]\n  [8.61259103e-01 2.85776245e-04 7.69523554e-04 1.37685657e-01]]]\nPredicted mask after argmax for 2008_000853: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000853 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000853. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000860.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000860: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86124098e-01 6.70658196e-08 1.66760628e-07 1.38756316e-02]\n  [9.94549334e-01 3.91238188e-11 8.34107505e-11 5.45068877e-03]\n  [9.96583343e-01 1.38132171e-12 5.24846139e-12 3.41663742e-03]\n  [9.97041762e-01 3.83040442e-13 2.21523754e-12 2.95820506e-03]\n  [9.97640669e-01 8.50635480e-14 6.18083438e-13 2.35931715e-03]]\n\n [[9.95984852e-01 1.63393483e-11 9.56597510e-11 4.01512999e-03]\n  [9.96221066e-01 1.03817271e-15 6.62407547e-15 3.77893378e-03]\n  [9.95466948e-01 5.17180517e-17 7.77482754e-16 4.53309249e-03]\n  [9.95222688e-01 3.21939886e-17 9.33770392e-16 4.77730529e-03]\n  [9.95675862e-01 6.40452323e-18 2.98111128e-16 4.32415446e-03]]\n\n [[9.98715281e-01 2.97682560e-13 3.14644773e-12 1.28468976e-03]\n  [9.98622894e-01 1.35406869e-17 2.17895454e-16 1.37717125e-03]\n  [9.97805536e-01 1.27386642e-18 9.41526090e-17 2.19441974e-03]\n  [9.96585250e-01 1.74380240e-18 2.90121331e-16 3.41475010e-03]\n  [9.96765137e-01 3.58757873e-19 1.11460867e-16 3.23481602e-03]]\n\n ...\n\n [[8.99213672e-01 2.76420342e-05 8.54383979e-05 1.00673229e-01]\n  [9.01107907e-01 4.48307361e-07 2.34731874e-06 9.88893583e-02]\n  [9.11873400e-01 1.13961057e-07 9.06490527e-07 8.81256163e-02]\n  [9.15456593e-01 1.14504928e-07 1.06102982e-06 8.45421627e-02]\n  [9.14959371e-01 1.17258821e-07 1.11709244e-06 8.50395113e-02]]\n\n [[8.87725413e-01 5.78761137e-05 1.69161940e-04 1.12047553e-01]\n  [8.96056414e-01 1.26606517e-06 5.58632246e-06 1.03936724e-01]\n  [9.14334536e-01 3.93219182e-07 2.47911680e-06 8.56625587e-02]\n  [9.12816882e-01 4.01410176e-07 2.79191431e-06 8.71798769e-02]\n  [9.07689631e-01 4.09489928e-07 3.01378691e-06 9.23068896e-02]]\n\n [[8.49200368e-01 6.96306990e-04 1.66181254e-03 1.48441434e-01]\n  [9.02446866e-01 5.35309555e-05 1.51808010e-04 9.73477960e-02]\n  [9.16436315e-01 3.14877179e-05 9.85000079e-05 8.34337026e-02]\n  [9.15066123e-01 3.50217924e-05 1.13960465e-04 8.47849026e-02]\n  [9.09873903e-01 3.72825380e-05 1.23493257e-04 8.99652243e-02]]]\nPredicted mask after argmax for 2008_000860: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000860 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000860. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000860.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000860: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86124098e-01 6.70658196e-08 1.66760628e-07 1.38756316e-02]\n  [9.94549334e-01 3.91238188e-11 8.34107505e-11 5.45068877e-03]\n  [9.96583343e-01 1.38132171e-12 5.24846139e-12 3.41663742e-03]\n  [9.97041762e-01 3.83040442e-13 2.21523754e-12 2.95820506e-03]\n  [9.97640669e-01 8.50635480e-14 6.18083438e-13 2.35931715e-03]]\n\n [[9.95984852e-01 1.63393483e-11 9.56597510e-11 4.01512999e-03]\n  [9.96221066e-01 1.03817271e-15 6.62407547e-15 3.77893378e-03]\n  [9.95466948e-01 5.17180517e-17 7.77482754e-16 4.53309249e-03]\n  [9.95222688e-01 3.21939886e-17 9.33770392e-16 4.77730529e-03]\n  [9.95675862e-01 6.40452323e-18 2.98111128e-16 4.32415446e-03]]\n\n [[9.98715281e-01 2.97682560e-13 3.14644773e-12 1.28468976e-03]\n  [9.98622894e-01 1.35406869e-17 2.17895454e-16 1.37717125e-03]\n  [9.97805536e-01 1.27386642e-18 9.41526090e-17 2.19441974e-03]\n  [9.96585250e-01 1.74380240e-18 2.90121331e-16 3.41475010e-03]\n  [9.96765137e-01 3.58757873e-19 1.11460867e-16 3.23481602e-03]]\n\n ...\n\n [[8.99213672e-01 2.76420342e-05 8.54383979e-05 1.00673229e-01]\n  [9.01107907e-01 4.48307361e-07 2.34731874e-06 9.88893583e-02]\n  [9.11873400e-01 1.13961057e-07 9.06490527e-07 8.81256163e-02]\n  [9.15456593e-01 1.14504928e-07 1.06102982e-06 8.45421627e-02]\n  [9.14959371e-01 1.17258821e-07 1.11709244e-06 8.50395113e-02]]\n\n [[8.87725413e-01 5.78761137e-05 1.69161940e-04 1.12047553e-01]\n  [8.96056414e-01 1.26606517e-06 5.58632246e-06 1.03936724e-01]\n  [9.14334536e-01 3.93219182e-07 2.47911680e-06 8.56625587e-02]\n  [9.12816882e-01 4.01410176e-07 2.79191431e-06 8.71798769e-02]\n  [9.07689631e-01 4.09489928e-07 3.01378691e-06 9.23068896e-02]]\n\n [[8.49200368e-01 6.96306990e-04 1.66181254e-03 1.48441434e-01]\n  [9.02446866e-01 5.35309555e-05 1.51808010e-04 9.73477960e-02]\n  [9.16436315e-01 3.14877179e-05 9.85000079e-05 8.34337026e-02]\n  [9.15066123e-01 3.50217924e-05 1.13960465e-04 8.47849026e-02]\n  [9.09873903e-01 3.72825380e-05 1.23493257e-04 8.99652243e-02]]]\nPredicted mask after argmax for 2008_000860: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000860 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000860. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000860.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000860: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86124098e-01 6.70658196e-08 1.66760628e-07 1.38756316e-02]\n  [9.94549334e-01 3.91238188e-11 8.34107505e-11 5.45068877e-03]\n  [9.96583343e-01 1.38132171e-12 5.24846139e-12 3.41663742e-03]\n  [9.97041762e-01 3.83040442e-13 2.21523754e-12 2.95820506e-03]\n  [9.97640669e-01 8.50635480e-14 6.18083438e-13 2.35931715e-03]]\n\n [[9.95984852e-01 1.63393483e-11 9.56597510e-11 4.01512999e-03]\n  [9.96221066e-01 1.03817271e-15 6.62407547e-15 3.77893378e-03]\n  [9.95466948e-01 5.17180517e-17 7.77482754e-16 4.53309249e-03]\n  [9.95222688e-01 3.21939886e-17 9.33770392e-16 4.77730529e-03]\n  [9.95675862e-01 6.40452323e-18 2.98111128e-16 4.32415446e-03]]\n\n [[9.98715281e-01 2.97682560e-13 3.14644773e-12 1.28468976e-03]\n  [9.98622894e-01 1.35406869e-17 2.17895454e-16 1.37717125e-03]\n  [9.97805536e-01 1.27386642e-18 9.41526090e-17 2.19441974e-03]\n  [9.96585250e-01 1.74380240e-18 2.90121331e-16 3.41475010e-03]\n  [9.96765137e-01 3.58757873e-19 1.11460867e-16 3.23481602e-03]]\n\n ...\n\n [[8.99213672e-01 2.76420342e-05 8.54383979e-05 1.00673229e-01]\n  [9.01107907e-01 4.48307361e-07 2.34731874e-06 9.88893583e-02]\n  [9.11873400e-01 1.13961057e-07 9.06490527e-07 8.81256163e-02]\n  [9.15456593e-01 1.14504928e-07 1.06102982e-06 8.45421627e-02]\n  [9.14959371e-01 1.17258821e-07 1.11709244e-06 8.50395113e-02]]\n\n [[8.87725413e-01 5.78761137e-05 1.69161940e-04 1.12047553e-01]\n  [8.96056414e-01 1.26606517e-06 5.58632246e-06 1.03936724e-01]\n  [9.14334536e-01 3.93219182e-07 2.47911680e-06 8.56625587e-02]\n  [9.12816882e-01 4.01410176e-07 2.79191431e-06 8.71798769e-02]\n  [9.07689631e-01 4.09489928e-07 3.01378691e-06 9.23068896e-02]]\n\n [[8.49200368e-01 6.96306990e-04 1.66181254e-03 1.48441434e-01]\n  [9.02446866e-01 5.35309555e-05 1.51808010e-04 9.73477960e-02]\n  [9.16436315e-01 3.14877179e-05 9.85000079e-05 8.34337026e-02]\n  [9.15066123e-01 3.50217924e-05 1.13960465e-04 8.47849026e-02]\n  [9.09873903e-01 3.72825380e-05 1.23493257e-04 8.99652243e-02]]]\nPredicted mask after argmax for 2008_000860: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000860 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000860. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000863.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000863: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9152839e-01 1.0833704e-08 2.8424790e-08 8.4716221e-03]\n  [9.9692363e-01 3.2913518e-12 6.6284287e-12 3.0763347e-03]\n  [9.9816006e-01 6.4989748e-14 2.5422516e-13 1.8399629e-03]\n  [9.9849343e-01 9.1936109e-15 6.3247991e-14 1.5065352e-03]\n  [9.9899811e-01 7.7037445e-16 7.3377719e-15 1.0019562e-03]]\n\n [[9.9790949e-01 1.1155160e-12 7.5985633e-12 2.0905193e-03]\n  [9.9789965e-01 2.4184607e-17 1.6968815e-16 2.1003466e-03]\n  [9.9736053e-01 5.9028255e-19 1.1840639e-17 2.6394213e-03]\n  [9.9738306e-01 1.5859746e-19 7.7371290e-18 2.6168944e-03]\n  [9.9793833e-01 9.5317104e-21 8.9108786e-19 2.0616218e-03]]\n\n [[9.9941689e-01 1.1862536e-14 1.4990625e-13 5.8301556e-04]\n  [9.9934489e-01 1.7447989e-19 3.2601630e-18 6.5509760e-04]\n  [9.9897867e-01 6.6008145e-21 8.3034809e-19 1.0212549e-03]\n  [9.9839860e-01 4.1215667e-21 1.5555476e-18 1.6013951e-03]\n  [9.9866414e-01 2.5543657e-22 2.2688631e-19 1.3358701e-03]]\n\n ...\n\n [[9.5628375e-01 5.4514476e-07 2.3874838e-06 4.3713272e-02]\n  [9.6194571e-01 9.5235875e-10 6.7513066e-09 3.8054310e-02]\n  [9.6512437e-01 6.5993919e-11 1.1037458e-09 3.4875590e-02]\n  [9.6332908e-01 2.7892084e-11 7.2375450e-10 3.6670879e-02]\n  [9.6927500e-01 6.0581345e-12 2.3439087e-10 3.0724974e-02]]\n\n [[9.4070786e-01 2.1028286e-06 9.4398747e-06 5.9280578e-02]\n  [9.5157725e-01 6.0657595e-09 4.4894843e-08 4.8422787e-02]\n  [9.6156663e-01 3.9362905e-10 6.2322578e-09 3.8433421e-02]\n  [9.5828450e-01 1.6358787e-10 3.9707335e-09 4.1715510e-02]\n  [9.6594071e-01 3.4874482e-11 1.2709424e-09 3.4059234e-02]]\n\n [[9.0052110e-01 9.1458351e-05 3.1351310e-04 9.9073991e-02]\n  [9.4261879e-01 2.0921543e-06 9.9661120e-06 5.7369098e-02]\n  [9.5828658e-01 4.6501333e-07 2.9218129e-06 4.1709974e-02]\n  [9.5882660e-01 3.1170393e-07 2.3701054e-06 4.1170627e-02]\n  [9.6327066e-01 1.3565125e-07 1.2814530e-06 3.6727890e-02]]]\nPredicted mask after argmax for 2008_000863: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000863 has shape: (336, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000863. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000863.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000863: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9152839e-01 1.0833704e-08 2.8424790e-08 8.4716221e-03]\n  [9.9692363e-01 3.2913518e-12 6.6284287e-12 3.0763347e-03]\n  [9.9816006e-01 6.4989748e-14 2.5422516e-13 1.8399629e-03]\n  [9.9849343e-01 9.1936109e-15 6.3247991e-14 1.5065352e-03]\n  [9.9899811e-01 7.7037445e-16 7.3377719e-15 1.0019562e-03]]\n\n [[9.9790949e-01 1.1155160e-12 7.5985633e-12 2.0905193e-03]\n  [9.9789965e-01 2.4184607e-17 1.6968815e-16 2.1003466e-03]\n  [9.9736053e-01 5.9028255e-19 1.1840639e-17 2.6394213e-03]\n  [9.9738306e-01 1.5859746e-19 7.7371290e-18 2.6168944e-03]\n  [9.9793833e-01 9.5317104e-21 8.9108786e-19 2.0616218e-03]]\n\n [[9.9941689e-01 1.1862536e-14 1.4990625e-13 5.8301556e-04]\n  [9.9934489e-01 1.7447989e-19 3.2601630e-18 6.5509760e-04]\n  [9.9897867e-01 6.6008145e-21 8.3034809e-19 1.0212549e-03]\n  [9.9839860e-01 4.1215667e-21 1.5555476e-18 1.6013951e-03]\n  [9.9866414e-01 2.5543657e-22 2.2688631e-19 1.3358701e-03]]\n\n ...\n\n [[9.5628375e-01 5.4514476e-07 2.3874838e-06 4.3713272e-02]\n  [9.6194571e-01 9.5235875e-10 6.7513066e-09 3.8054310e-02]\n  [9.6512437e-01 6.5993919e-11 1.1037458e-09 3.4875590e-02]\n  [9.6332908e-01 2.7892084e-11 7.2375450e-10 3.6670879e-02]\n  [9.6927500e-01 6.0581345e-12 2.3439087e-10 3.0724974e-02]]\n\n [[9.4070786e-01 2.1028286e-06 9.4398747e-06 5.9280578e-02]\n  [9.5157725e-01 6.0657595e-09 4.4894843e-08 4.8422787e-02]\n  [9.6156663e-01 3.9362905e-10 6.2322578e-09 3.8433421e-02]\n  [9.5828450e-01 1.6358787e-10 3.9707335e-09 4.1715510e-02]\n  [9.6594071e-01 3.4874482e-11 1.2709424e-09 3.4059234e-02]]\n\n [[9.0052110e-01 9.1458351e-05 3.1351310e-04 9.9073991e-02]\n  [9.4261879e-01 2.0921543e-06 9.9661120e-06 5.7369098e-02]\n  [9.5828658e-01 4.6501333e-07 2.9218129e-06 4.1709974e-02]\n  [9.5882660e-01 3.1170393e-07 2.3701054e-06 4.1170627e-02]\n  [9.6327066e-01 1.3565125e-07 1.2814530e-06 3.6727890e-02]]]\nPredicted mask after argmax for 2008_000863: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000863 has shape: (336, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000863. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000863.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000863: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9152839e-01 1.0833704e-08 2.8424790e-08 8.4716221e-03]\n  [9.9692363e-01 3.2913518e-12 6.6284287e-12 3.0763347e-03]\n  [9.9816006e-01 6.4989748e-14 2.5422516e-13 1.8399629e-03]\n  [9.9849343e-01 9.1936109e-15 6.3247991e-14 1.5065352e-03]\n  [9.9899811e-01 7.7037445e-16 7.3377719e-15 1.0019562e-03]]\n\n [[9.9790949e-01 1.1155160e-12 7.5985633e-12 2.0905193e-03]\n  [9.9789965e-01 2.4184607e-17 1.6968815e-16 2.1003466e-03]\n  [9.9736053e-01 5.9028255e-19 1.1840639e-17 2.6394213e-03]\n  [9.9738306e-01 1.5859746e-19 7.7371290e-18 2.6168944e-03]\n  [9.9793833e-01 9.5317104e-21 8.9108786e-19 2.0616218e-03]]\n\n [[9.9941689e-01 1.1862536e-14 1.4990625e-13 5.8301556e-04]\n  [9.9934489e-01 1.7447989e-19 3.2601630e-18 6.5509760e-04]\n  [9.9897867e-01 6.6008145e-21 8.3034809e-19 1.0212549e-03]\n  [9.9839860e-01 4.1215667e-21 1.5555476e-18 1.6013951e-03]\n  [9.9866414e-01 2.5543657e-22 2.2688631e-19 1.3358701e-03]]\n\n ...\n\n [[9.5628375e-01 5.4514476e-07 2.3874838e-06 4.3713272e-02]\n  [9.6194571e-01 9.5235875e-10 6.7513066e-09 3.8054310e-02]\n  [9.6512437e-01 6.5993919e-11 1.1037458e-09 3.4875590e-02]\n  [9.6332908e-01 2.7892084e-11 7.2375450e-10 3.6670879e-02]\n  [9.6927500e-01 6.0581345e-12 2.3439087e-10 3.0724974e-02]]\n\n [[9.4070786e-01 2.1028286e-06 9.4398747e-06 5.9280578e-02]\n  [9.5157725e-01 6.0657595e-09 4.4894843e-08 4.8422787e-02]\n  [9.6156663e-01 3.9362905e-10 6.2322578e-09 3.8433421e-02]\n  [9.5828450e-01 1.6358787e-10 3.9707335e-09 4.1715510e-02]\n  [9.6594071e-01 3.4874482e-11 1.2709424e-09 3.4059234e-02]]\n\n [[9.0052110e-01 9.1458351e-05 3.1351310e-04 9.9073991e-02]\n  [9.4261879e-01 2.0921543e-06 9.9661120e-06 5.7369098e-02]\n  [9.5828658e-01 4.6501333e-07 2.9218129e-06 4.1709974e-02]\n  [9.5882660e-01 3.1170393e-07 2.3701054e-06 4.1170627e-02]\n  [9.6327066e-01 1.3565125e-07 1.2814530e-06 3.6727890e-02]]]\nPredicted mask after argmax for 2008_000863: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000863 has shape: (336, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000863. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000863.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000863: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9152839e-01 1.0833704e-08 2.8424790e-08 8.4716221e-03]\n  [9.9692363e-01 3.2913518e-12 6.6284287e-12 3.0763347e-03]\n  [9.9816006e-01 6.4989748e-14 2.5422516e-13 1.8399629e-03]\n  [9.9849343e-01 9.1936109e-15 6.3247991e-14 1.5065352e-03]\n  [9.9899811e-01 7.7037445e-16 7.3377719e-15 1.0019562e-03]]\n\n [[9.9790949e-01 1.1155160e-12 7.5985633e-12 2.0905193e-03]\n  [9.9789965e-01 2.4184607e-17 1.6968815e-16 2.1003466e-03]\n  [9.9736053e-01 5.9028255e-19 1.1840639e-17 2.6394213e-03]\n  [9.9738306e-01 1.5859746e-19 7.7371290e-18 2.6168944e-03]\n  [9.9793833e-01 9.5317104e-21 8.9108786e-19 2.0616218e-03]]\n\n [[9.9941689e-01 1.1862536e-14 1.4990625e-13 5.8301556e-04]\n  [9.9934489e-01 1.7447989e-19 3.2601630e-18 6.5509760e-04]\n  [9.9897867e-01 6.6008145e-21 8.3034809e-19 1.0212549e-03]\n  [9.9839860e-01 4.1215667e-21 1.5555476e-18 1.6013951e-03]\n  [9.9866414e-01 2.5543657e-22 2.2688631e-19 1.3358701e-03]]\n\n ...\n\n [[9.5628375e-01 5.4514476e-07 2.3874838e-06 4.3713272e-02]\n  [9.6194571e-01 9.5235875e-10 6.7513066e-09 3.8054310e-02]\n  [9.6512437e-01 6.5993919e-11 1.1037458e-09 3.4875590e-02]\n  [9.6332908e-01 2.7892084e-11 7.2375450e-10 3.6670879e-02]\n  [9.6927500e-01 6.0581345e-12 2.3439087e-10 3.0724974e-02]]\n\n [[9.4070786e-01 2.1028286e-06 9.4398747e-06 5.9280578e-02]\n  [9.5157725e-01 6.0657595e-09 4.4894843e-08 4.8422787e-02]\n  [9.6156663e-01 3.9362905e-10 6.2322578e-09 3.8433421e-02]\n  [9.5828450e-01 1.6358787e-10 3.9707335e-09 4.1715510e-02]\n  [9.6594071e-01 3.4874482e-11 1.2709424e-09 3.4059234e-02]]\n\n [[9.0052110e-01 9.1458351e-05 3.1351310e-04 9.9073991e-02]\n  [9.4261879e-01 2.0921543e-06 9.9661120e-06 5.7369098e-02]\n  [9.5828658e-01 4.6501333e-07 2.9218129e-06 4.1709974e-02]\n  [9.5882660e-01 3.1170393e-07 2.3701054e-06 4.1170627e-02]\n  [9.6327066e-01 1.3565125e-07 1.2814530e-06 3.6727890e-02]]]\nPredicted mask after argmax for 2008_000863: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000863 has shape: (336, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000863. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000876: (1, 256, 256, 4)\nSome predicted mask values: [[[9.36767697e-01 1.85369900e-05 3.57959216e-05 6.31779209e-02]\n  [9.67664480e-01 6.28934416e-08 1.60287598e-07 3.23352814e-02]\n  [9.79385018e-01 3.60935193e-09 1.46185597e-08 2.06149481e-02]\n  [9.81796801e-01 1.61347702e-09 7.97555710e-09 1.82032138e-02]\n  [9.82818723e-01 8.80256645e-10 4.86983476e-09 1.71813630e-02]]\n\n [[9.71171200e-01 6.31119690e-08 2.47142168e-07 2.88284328e-02]\n  [9.77706552e-01 3.60032559e-11 2.05251607e-10 2.22934708e-02]\n  [9.83111262e-01 1.17546099e-12 1.42413824e-11 1.68887507e-02]\n  [9.83068883e-01 6.46820705e-13 1.13421295e-11 1.69311352e-02]\n  [9.83280301e-01 3.20305035e-13 7.26948883e-12 1.67196859e-02]]\n\n [[9.85106647e-01 5.00841324e-09 3.15256301e-08 1.48933167e-02]\n  [9.88133967e-01 1.43927329e-12 1.80961166e-11 1.18660238e-02]\n  [9.88510191e-01 5.65924498e-14 2.08109615e-12 1.14897862e-02]\n  [9.87725437e-01 3.23466534e-14 1.96441951e-12 1.22745698e-02]\n  [9.88282859e-01 1.32675683e-14 1.07347865e-12 1.17171705e-02]]\n\n ...\n\n [[9.14985120e-01 1.20591048e-05 4.09288186e-05 8.49619210e-02]\n  [9.15723324e-01 1.68675356e-07 9.83304858e-07 8.42754766e-02]\n  [9.19174731e-01 5.83492543e-08 5.17397780e-07 8.08246881e-02]\n  [9.20730293e-01 7.68076305e-08 7.71731777e-07 7.92687684e-02]\n  [9.17485833e-01 1.00101033e-07 9.76561523e-07 8.25130716e-02]]\n\n [[9.02361393e-01 2.89463769e-05 9.17341822e-05 9.75178555e-02]\n  [9.08951223e-01 5.16683258e-07 2.51135111e-06 9.10457298e-02]\n  [9.20917809e-01 1.79405461e-07 1.25363101e-06 7.90807530e-02]\n  [9.16704714e-01 2.10649887e-07 1.62469848e-06 8.32934007e-02]\n  [9.13315654e-01 2.41198535e-07 1.98854127e-06 8.66821930e-02]]\n\n [[8.62334728e-01 4.39601106e-04 1.11284549e-03 1.36112794e-01]\n  [9.10612047e-01 2.82980618e-05 8.55643957e-05 8.92740786e-02]\n  [9.24732804e-01 1.64055400e-05 5.53227837e-05 7.51954466e-02]\n  [9.20443654e-01 1.93226388e-05 6.75270712e-05 7.94695541e-02]\n  [9.13820267e-01 2.21876671e-05 7.81521449e-05 8.60793963e-02]]]\nPredicted mask after argmax for 2008_000876: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000876 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000876. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000876: (1, 256, 256, 4)\nSome predicted mask values: [[[9.36767697e-01 1.85369900e-05 3.57959216e-05 6.31779209e-02]\n  [9.67664480e-01 6.28934416e-08 1.60287598e-07 3.23352814e-02]\n  [9.79385018e-01 3.60935193e-09 1.46185597e-08 2.06149481e-02]\n  [9.81796801e-01 1.61347702e-09 7.97555710e-09 1.82032138e-02]\n  [9.82818723e-01 8.80256645e-10 4.86983476e-09 1.71813630e-02]]\n\n [[9.71171200e-01 6.31119690e-08 2.47142168e-07 2.88284328e-02]\n  [9.77706552e-01 3.60032559e-11 2.05251607e-10 2.22934708e-02]\n  [9.83111262e-01 1.17546099e-12 1.42413824e-11 1.68887507e-02]\n  [9.83068883e-01 6.46820705e-13 1.13421295e-11 1.69311352e-02]\n  [9.83280301e-01 3.20305035e-13 7.26948883e-12 1.67196859e-02]]\n\n [[9.85106647e-01 5.00841324e-09 3.15256301e-08 1.48933167e-02]\n  [9.88133967e-01 1.43927329e-12 1.80961166e-11 1.18660238e-02]\n  [9.88510191e-01 5.65924498e-14 2.08109615e-12 1.14897862e-02]\n  [9.87725437e-01 3.23466534e-14 1.96441951e-12 1.22745698e-02]\n  [9.88282859e-01 1.32675683e-14 1.07347865e-12 1.17171705e-02]]\n\n ...\n\n [[9.14985120e-01 1.20591048e-05 4.09288186e-05 8.49619210e-02]\n  [9.15723324e-01 1.68675356e-07 9.83304858e-07 8.42754766e-02]\n  [9.19174731e-01 5.83492543e-08 5.17397780e-07 8.08246881e-02]\n  [9.20730293e-01 7.68076305e-08 7.71731777e-07 7.92687684e-02]\n  [9.17485833e-01 1.00101033e-07 9.76561523e-07 8.25130716e-02]]\n\n [[9.02361393e-01 2.89463769e-05 9.17341822e-05 9.75178555e-02]\n  [9.08951223e-01 5.16683258e-07 2.51135111e-06 9.10457298e-02]\n  [9.20917809e-01 1.79405461e-07 1.25363101e-06 7.90807530e-02]\n  [9.16704714e-01 2.10649887e-07 1.62469848e-06 8.32934007e-02]\n  [9.13315654e-01 2.41198535e-07 1.98854127e-06 8.66821930e-02]]\n\n [[8.62334728e-01 4.39601106e-04 1.11284549e-03 1.36112794e-01]\n  [9.10612047e-01 2.82980618e-05 8.55643957e-05 8.92740786e-02]\n  [9.24732804e-01 1.64055400e-05 5.53227837e-05 7.51954466e-02]\n  [9.20443654e-01 1.93226388e-05 6.75270712e-05 7.94695541e-02]\n  [9.13820267e-01 2.21876671e-05 7.81521449e-05 8.60793963e-02]]]\nPredicted mask after argmax for 2008_000876: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000876 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000876. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000876: (1, 256, 256, 4)\nSome predicted mask values: [[[9.36767697e-01 1.85369900e-05 3.57959216e-05 6.31779209e-02]\n  [9.67664480e-01 6.28934416e-08 1.60287598e-07 3.23352814e-02]\n  [9.79385018e-01 3.60935193e-09 1.46185597e-08 2.06149481e-02]\n  [9.81796801e-01 1.61347702e-09 7.97555710e-09 1.82032138e-02]\n  [9.82818723e-01 8.80256645e-10 4.86983476e-09 1.71813630e-02]]\n\n [[9.71171200e-01 6.31119690e-08 2.47142168e-07 2.88284328e-02]\n  [9.77706552e-01 3.60032559e-11 2.05251607e-10 2.22934708e-02]\n  [9.83111262e-01 1.17546099e-12 1.42413824e-11 1.68887507e-02]\n  [9.83068883e-01 6.46820705e-13 1.13421295e-11 1.69311352e-02]\n  [9.83280301e-01 3.20305035e-13 7.26948883e-12 1.67196859e-02]]\n\n [[9.85106647e-01 5.00841324e-09 3.15256301e-08 1.48933167e-02]\n  [9.88133967e-01 1.43927329e-12 1.80961166e-11 1.18660238e-02]\n  [9.88510191e-01 5.65924498e-14 2.08109615e-12 1.14897862e-02]\n  [9.87725437e-01 3.23466534e-14 1.96441951e-12 1.22745698e-02]\n  [9.88282859e-01 1.32675683e-14 1.07347865e-12 1.17171705e-02]]\n\n ...\n\n [[9.14985120e-01 1.20591048e-05 4.09288186e-05 8.49619210e-02]\n  [9.15723324e-01 1.68675356e-07 9.83304858e-07 8.42754766e-02]\n  [9.19174731e-01 5.83492543e-08 5.17397780e-07 8.08246881e-02]\n  [9.20730293e-01 7.68076305e-08 7.71731777e-07 7.92687684e-02]\n  [9.17485833e-01 1.00101033e-07 9.76561523e-07 8.25130716e-02]]\n\n [[9.02361393e-01 2.89463769e-05 9.17341822e-05 9.75178555e-02]\n  [9.08951223e-01 5.16683258e-07 2.51135111e-06 9.10457298e-02]\n  [9.20917809e-01 1.79405461e-07 1.25363101e-06 7.90807530e-02]\n  [9.16704714e-01 2.10649887e-07 1.62469848e-06 8.32934007e-02]\n  [9.13315654e-01 2.41198535e-07 1.98854127e-06 8.66821930e-02]]\n\n [[8.62334728e-01 4.39601106e-04 1.11284549e-03 1.36112794e-01]\n  [9.10612047e-01 2.82980618e-05 8.55643957e-05 8.92740786e-02]\n  [9.24732804e-01 1.64055400e-05 5.53227837e-05 7.51954466e-02]\n  [9.20443654e-01 1.93226388e-05 6.75270712e-05 7.94695541e-02]\n  [9.13820267e-01 2.21876671e-05 7.81521449e-05 8.60793963e-02]]]\nPredicted mask after argmax for 2008_000876: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000876 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000876. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000880.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000880: (1, 256, 256, 4)\nSome predicted mask values: [[[9.92283046e-01 7.34941930e-09 1.98476720e-08 7.71693047e-03]\n  [9.97067153e-01 2.46628629e-12 5.03927238e-12 2.93291663e-03]\n  [9.97986197e-01 9.99951668e-14 4.04560852e-13 2.01377831e-03]\n  [9.98032510e-01 3.89049009e-14 2.65739010e-13 1.96745619e-03]\n  [9.98277426e-01 1.07205453e-14 9.63090420e-14 1.72262220e-03]]\n\n [[9.98290956e-01 4.59027781e-13 3.29602318e-12 1.70899695e-03]\n  [9.98168826e-01 1.10547395e-17 7.92458681e-17 1.83109695e-03]\n  [9.97316420e-01 7.63635978e-19 1.50583664e-17 2.68354453e-03]\n  [9.96765137e-01 8.82989351e-19 3.87236001e-17 3.23487772e-03]\n  [9.96771157e-01 2.65329452e-19 2.00223352e-17 3.22883134e-03]]\n\n [[9.99594450e-01 2.43951355e-15 3.47454507e-14 4.05550032e-04]\n  [9.99506235e-01 3.08209597e-20 6.35551713e-19 4.93706611e-04]\n  [9.99089003e-01 3.52749072e-21 4.76679578e-19 9.11041687e-04]\n  [9.98080134e-01 1.18706089e-20 4.03252741e-18 1.91991823e-03]\n  [9.97917831e-01 4.17762964e-21 2.79134745e-18 2.08214112e-03]]\n\n ...\n\n [[8.95035863e-01 2.47942080e-05 7.95627930e-05 1.04859814e-01]\n  [9.00708437e-01 3.77909203e-07 2.27670762e-06 9.92888808e-02]\n  [9.11650717e-01 1.11565797e-07 9.50251206e-07 8.83482099e-02]\n  [9.13123310e-01 1.44815303e-07 1.33323317e-06 8.68753195e-02]\n  [9.11633432e-01 1.66153626e-07 1.50332596e-06 8.83648992e-02]]\n\n [[8.88670206e-01 4.12386107e-05 1.27869193e-04 1.11160636e-01]\n  [9.00777757e-01 7.71522934e-07 3.92699394e-06 9.92175490e-02]\n  [9.13756311e-01 2.64501324e-07 1.78668120e-06 8.62417892e-02]\n  [9.10834491e-01 3.33722511e-07 2.44738362e-06 8.91627222e-02]\n  [9.08542871e-01 3.64362563e-07 2.81594521e-06 9.14539546e-02]]\n\n [[8.52853358e-01 5.08883502e-04 1.27530820e-03 1.45362422e-01]\n  [9.04902220e-01 3.53285614e-05 1.04147737e-04 9.49583501e-02]\n  [9.20003653e-01 2.04127573e-05 6.74458934e-05 7.99085125e-02]\n  [9.15193439e-01 2.54714341e-05 8.61653825e-05 8.46949667e-02]\n  [9.09428716e-01 2.84349899e-05 9.71670524e-05 9.04456899e-02]]]\nPredicted mask after argmax for 2008_000880: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000880 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000880. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000880.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000880: (1, 256, 256, 4)\nSome predicted mask values: [[[9.92283046e-01 7.34941930e-09 1.98476720e-08 7.71693047e-03]\n  [9.97067153e-01 2.46628629e-12 5.03927238e-12 2.93291663e-03]\n  [9.97986197e-01 9.99951668e-14 4.04560852e-13 2.01377831e-03]\n  [9.98032510e-01 3.89049009e-14 2.65739010e-13 1.96745619e-03]\n  [9.98277426e-01 1.07205453e-14 9.63090420e-14 1.72262220e-03]]\n\n [[9.98290956e-01 4.59027781e-13 3.29602318e-12 1.70899695e-03]\n  [9.98168826e-01 1.10547395e-17 7.92458681e-17 1.83109695e-03]\n  [9.97316420e-01 7.63635978e-19 1.50583664e-17 2.68354453e-03]\n  [9.96765137e-01 8.82989351e-19 3.87236001e-17 3.23487772e-03]\n  [9.96771157e-01 2.65329452e-19 2.00223352e-17 3.22883134e-03]]\n\n [[9.99594450e-01 2.43951355e-15 3.47454507e-14 4.05550032e-04]\n  [9.99506235e-01 3.08209597e-20 6.35551713e-19 4.93706611e-04]\n  [9.99089003e-01 3.52749072e-21 4.76679578e-19 9.11041687e-04]\n  [9.98080134e-01 1.18706089e-20 4.03252741e-18 1.91991823e-03]\n  [9.97917831e-01 4.17762964e-21 2.79134745e-18 2.08214112e-03]]\n\n ...\n\n [[8.95035863e-01 2.47942080e-05 7.95627930e-05 1.04859814e-01]\n  [9.00708437e-01 3.77909203e-07 2.27670762e-06 9.92888808e-02]\n  [9.11650717e-01 1.11565797e-07 9.50251206e-07 8.83482099e-02]\n  [9.13123310e-01 1.44815303e-07 1.33323317e-06 8.68753195e-02]\n  [9.11633432e-01 1.66153626e-07 1.50332596e-06 8.83648992e-02]]\n\n [[8.88670206e-01 4.12386107e-05 1.27869193e-04 1.11160636e-01]\n  [9.00777757e-01 7.71522934e-07 3.92699394e-06 9.92175490e-02]\n  [9.13756311e-01 2.64501324e-07 1.78668120e-06 8.62417892e-02]\n  [9.10834491e-01 3.33722511e-07 2.44738362e-06 8.91627222e-02]\n  [9.08542871e-01 3.64362563e-07 2.81594521e-06 9.14539546e-02]]\n\n [[8.52853358e-01 5.08883502e-04 1.27530820e-03 1.45362422e-01]\n  [9.04902220e-01 3.53285614e-05 1.04147737e-04 9.49583501e-02]\n  [9.20003653e-01 2.04127573e-05 6.74458934e-05 7.99085125e-02]\n  [9.15193439e-01 2.54714341e-05 8.61653825e-05 8.46949667e-02]\n  [9.09428716e-01 2.84349899e-05 9.71670524e-05 9.04456899e-02]]]\nPredicted mask after argmax for 2008_000880: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000880 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000880. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000880.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000880: (1, 256, 256, 4)\nSome predicted mask values: [[[9.92283046e-01 7.34941930e-09 1.98476720e-08 7.71693047e-03]\n  [9.97067153e-01 2.46628629e-12 5.03927238e-12 2.93291663e-03]\n  [9.97986197e-01 9.99951668e-14 4.04560852e-13 2.01377831e-03]\n  [9.98032510e-01 3.89049009e-14 2.65739010e-13 1.96745619e-03]\n  [9.98277426e-01 1.07205453e-14 9.63090420e-14 1.72262220e-03]]\n\n [[9.98290956e-01 4.59027781e-13 3.29602318e-12 1.70899695e-03]\n  [9.98168826e-01 1.10547395e-17 7.92458681e-17 1.83109695e-03]\n  [9.97316420e-01 7.63635978e-19 1.50583664e-17 2.68354453e-03]\n  [9.96765137e-01 8.82989351e-19 3.87236001e-17 3.23487772e-03]\n  [9.96771157e-01 2.65329452e-19 2.00223352e-17 3.22883134e-03]]\n\n [[9.99594450e-01 2.43951355e-15 3.47454507e-14 4.05550032e-04]\n  [9.99506235e-01 3.08209597e-20 6.35551713e-19 4.93706611e-04]\n  [9.99089003e-01 3.52749072e-21 4.76679578e-19 9.11041687e-04]\n  [9.98080134e-01 1.18706089e-20 4.03252741e-18 1.91991823e-03]\n  [9.97917831e-01 4.17762964e-21 2.79134745e-18 2.08214112e-03]]\n\n ...\n\n [[8.95035863e-01 2.47942080e-05 7.95627930e-05 1.04859814e-01]\n  [9.00708437e-01 3.77909203e-07 2.27670762e-06 9.92888808e-02]\n  [9.11650717e-01 1.11565797e-07 9.50251206e-07 8.83482099e-02]\n  [9.13123310e-01 1.44815303e-07 1.33323317e-06 8.68753195e-02]\n  [9.11633432e-01 1.66153626e-07 1.50332596e-06 8.83648992e-02]]\n\n [[8.88670206e-01 4.12386107e-05 1.27869193e-04 1.11160636e-01]\n  [9.00777757e-01 7.71522934e-07 3.92699394e-06 9.92175490e-02]\n  [9.13756311e-01 2.64501324e-07 1.78668120e-06 8.62417892e-02]\n  [9.10834491e-01 3.33722511e-07 2.44738362e-06 8.91627222e-02]\n  [9.08542871e-01 3.64362563e-07 2.81594521e-06 9.14539546e-02]]\n\n [[8.52853358e-01 5.08883502e-04 1.27530820e-03 1.45362422e-01]\n  [9.04902220e-01 3.53285614e-05 1.04147737e-04 9.49583501e-02]\n  [9.20003653e-01 2.04127573e-05 6.74458934e-05 7.99085125e-02]\n  [9.15193439e-01 2.54714341e-05 8.61653825e-05 8.46949667e-02]\n  [9.09428716e-01 2.84349899e-05 9.71670524e-05 9.04456899e-02]]]\nPredicted mask after argmax for 2008_000880: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000880 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000880. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000880.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000880: (1, 256, 256, 4)\nSome predicted mask values: [[[9.92283046e-01 7.34941930e-09 1.98476720e-08 7.71693047e-03]\n  [9.97067153e-01 2.46628629e-12 5.03927238e-12 2.93291663e-03]\n  [9.97986197e-01 9.99951668e-14 4.04560852e-13 2.01377831e-03]\n  [9.98032510e-01 3.89049009e-14 2.65739010e-13 1.96745619e-03]\n  [9.98277426e-01 1.07205453e-14 9.63090420e-14 1.72262220e-03]]\n\n [[9.98290956e-01 4.59027781e-13 3.29602318e-12 1.70899695e-03]\n  [9.98168826e-01 1.10547395e-17 7.92458681e-17 1.83109695e-03]\n  [9.97316420e-01 7.63635978e-19 1.50583664e-17 2.68354453e-03]\n  [9.96765137e-01 8.82989351e-19 3.87236001e-17 3.23487772e-03]\n  [9.96771157e-01 2.65329452e-19 2.00223352e-17 3.22883134e-03]]\n\n [[9.99594450e-01 2.43951355e-15 3.47454507e-14 4.05550032e-04]\n  [9.99506235e-01 3.08209597e-20 6.35551713e-19 4.93706611e-04]\n  [9.99089003e-01 3.52749072e-21 4.76679578e-19 9.11041687e-04]\n  [9.98080134e-01 1.18706089e-20 4.03252741e-18 1.91991823e-03]\n  [9.97917831e-01 4.17762964e-21 2.79134745e-18 2.08214112e-03]]\n\n ...\n\n [[8.95035863e-01 2.47942080e-05 7.95627930e-05 1.04859814e-01]\n  [9.00708437e-01 3.77909203e-07 2.27670762e-06 9.92888808e-02]\n  [9.11650717e-01 1.11565797e-07 9.50251206e-07 8.83482099e-02]\n  [9.13123310e-01 1.44815303e-07 1.33323317e-06 8.68753195e-02]\n  [9.11633432e-01 1.66153626e-07 1.50332596e-06 8.83648992e-02]]\n\n [[8.88670206e-01 4.12386107e-05 1.27869193e-04 1.11160636e-01]\n  [9.00777757e-01 7.71522934e-07 3.92699394e-06 9.92175490e-02]\n  [9.13756311e-01 2.64501324e-07 1.78668120e-06 8.62417892e-02]\n  [9.10834491e-01 3.33722511e-07 2.44738362e-06 8.91627222e-02]\n  [9.08542871e-01 3.64362563e-07 2.81594521e-06 9.14539546e-02]]\n\n [[8.52853358e-01 5.08883502e-04 1.27530820e-03 1.45362422e-01]\n  [9.04902220e-01 3.53285614e-05 1.04147737e-04 9.49583501e-02]\n  [9.20003653e-01 2.04127573e-05 6.74458934e-05 7.99085125e-02]\n  [9.15193439e-01 2.54714341e-05 8.61653825e-05 8.46949667e-02]\n  [9.09428716e-01 2.84349899e-05 9.71670524e-05 9.04456899e-02]]]\nPredicted mask after argmax for 2008_000880: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000880 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000880. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000897.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000897: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69126284e-01 1.05196841e-06 2.30751721e-06 3.08703277e-02]\n  [9.84628439e-01 1.81410509e-09 4.62440219e-09 1.53715694e-02]\n  [9.88795757e-01 1.58461327e-10 6.76534773e-10 1.12042613e-02]\n  [9.88778949e-01 1.35357558e-10 7.23797522e-10 1.12209832e-02]\n  [9.88631904e-01 1.01857453e-10 6.28446961e-10 1.13680465e-02]]\n\n [[9.88738894e-01 9.36225542e-10 4.62474770e-09 1.12611083e-02]\n  [9.89296377e-01 2.79808539e-13 1.80091781e-12 1.07035991e-02]\n  [9.88897979e-01 2.55606524e-14 3.65319970e-13 1.11020338e-02]\n  [9.87472415e-01 4.02793880e-14 8.58261162e-13 1.25275198e-02]\n  [9.86748397e-01 3.14563405e-14 9.11554252e-13 1.32516036e-02]]\n\n [[9.94882643e-01 5.67658316e-11 4.71975459e-10 5.11735026e-03]\n  [9.94457245e-01 1.15439240e-14 1.63356619e-13 5.54279005e-03]\n  [9.92876589e-01 1.49078572e-15 6.86590203e-14 7.12333713e-03]\n  [9.90429401e-01 3.23865970e-15 2.50023065e-13 9.57065728e-03]\n  [9.90131319e-01 2.22587172e-15 2.32702095e-13 9.86867584e-03]]\n\n ...\n\n [[9.07313824e-01 1.18505131e-05 4.16705079e-05 9.26326886e-02]\n  [9.07369256e-01 1.35774698e-07 9.40822531e-07 9.26296040e-02]\n  [9.25450206e-01 2.30699637e-08 2.56775309e-07 7.45495781e-02]\n  [9.31079566e-01 1.97060999e-08 2.52529560e-07 6.89202026e-02]\n  [9.33495164e-01 1.53269539e-08 2.06987721e-07 6.65045753e-02]]\n\n [[9.02509451e-01 2.26372431e-05 7.37028313e-05 9.73942280e-02]\n  [9.07870770e-01 3.73503269e-07 2.00619161e-06 9.21268836e-02]\n  [9.25313711e-01 9.12684897e-08 7.33808861e-07 7.46854395e-02]\n  [9.24002528e-01 8.85665656e-08 8.13364863e-07 7.59965181e-02]\n  [9.24581409e-01 7.36646015e-08 7.56545887e-07 7.54176676e-02]]\n\n [[8.69386613e-01 3.22173903e-04 8.60213477e-04 1.29430979e-01]\n  [9.17487741e-01 1.98855359e-05 6.35397228e-05 8.24287534e-02]\n  [9.30767775e-01 1.07578053e-05 3.91943104e-05 6.91822544e-02]\n  [9.28502619e-01 1.20713339e-05 4.66008933e-05 7.14387596e-02]\n  [9.24038291e-01 1.21160747e-05 4.85788223e-05 7.59010762e-02]]]\nPredicted mask after argmax for 2008_000897: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000897 has shape: (500, 350)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000897. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000897.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000897: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69126284e-01 1.05196841e-06 2.30751721e-06 3.08703277e-02]\n  [9.84628439e-01 1.81410509e-09 4.62440219e-09 1.53715694e-02]\n  [9.88795757e-01 1.58461327e-10 6.76534773e-10 1.12042613e-02]\n  [9.88778949e-01 1.35357558e-10 7.23797522e-10 1.12209832e-02]\n  [9.88631904e-01 1.01857453e-10 6.28446961e-10 1.13680465e-02]]\n\n [[9.88738894e-01 9.36225542e-10 4.62474770e-09 1.12611083e-02]\n  [9.89296377e-01 2.79808539e-13 1.80091781e-12 1.07035991e-02]\n  [9.88897979e-01 2.55606524e-14 3.65319970e-13 1.11020338e-02]\n  [9.87472415e-01 4.02793880e-14 8.58261162e-13 1.25275198e-02]\n  [9.86748397e-01 3.14563405e-14 9.11554252e-13 1.32516036e-02]]\n\n [[9.94882643e-01 5.67658316e-11 4.71975459e-10 5.11735026e-03]\n  [9.94457245e-01 1.15439240e-14 1.63356619e-13 5.54279005e-03]\n  [9.92876589e-01 1.49078572e-15 6.86590203e-14 7.12333713e-03]\n  [9.90429401e-01 3.23865970e-15 2.50023065e-13 9.57065728e-03]\n  [9.90131319e-01 2.22587172e-15 2.32702095e-13 9.86867584e-03]]\n\n ...\n\n [[9.07313824e-01 1.18505131e-05 4.16705079e-05 9.26326886e-02]\n  [9.07369256e-01 1.35774698e-07 9.40822531e-07 9.26296040e-02]\n  [9.25450206e-01 2.30699637e-08 2.56775309e-07 7.45495781e-02]\n  [9.31079566e-01 1.97060999e-08 2.52529560e-07 6.89202026e-02]\n  [9.33495164e-01 1.53269539e-08 2.06987721e-07 6.65045753e-02]]\n\n [[9.02509451e-01 2.26372431e-05 7.37028313e-05 9.73942280e-02]\n  [9.07870770e-01 3.73503269e-07 2.00619161e-06 9.21268836e-02]\n  [9.25313711e-01 9.12684897e-08 7.33808861e-07 7.46854395e-02]\n  [9.24002528e-01 8.85665656e-08 8.13364863e-07 7.59965181e-02]\n  [9.24581409e-01 7.36646015e-08 7.56545887e-07 7.54176676e-02]]\n\n [[8.69386613e-01 3.22173903e-04 8.60213477e-04 1.29430979e-01]\n  [9.17487741e-01 1.98855359e-05 6.35397228e-05 8.24287534e-02]\n  [9.30767775e-01 1.07578053e-05 3.91943104e-05 6.91822544e-02]\n  [9.28502619e-01 1.20713339e-05 4.66008933e-05 7.14387596e-02]\n  [9.24038291e-01 1.21160747e-05 4.85788223e-05 7.59010762e-02]]]\nPredicted mask after argmax for 2008_000897: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000897 has shape: (500, 350)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000897. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000897.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000897: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69126284e-01 1.05196841e-06 2.30751721e-06 3.08703277e-02]\n  [9.84628439e-01 1.81410509e-09 4.62440219e-09 1.53715694e-02]\n  [9.88795757e-01 1.58461327e-10 6.76534773e-10 1.12042613e-02]\n  [9.88778949e-01 1.35357558e-10 7.23797522e-10 1.12209832e-02]\n  [9.88631904e-01 1.01857453e-10 6.28446961e-10 1.13680465e-02]]\n\n [[9.88738894e-01 9.36225542e-10 4.62474770e-09 1.12611083e-02]\n  [9.89296377e-01 2.79808539e-13 1.80091781e-12 1.07035991e-02]\n  [9.88897979e-01 2.55606524e-14 3.65319970e-13 1.11020338e-02]\n  [9.87472415e-01 4.02793880e-14 8.58261162e-13 1.25275198e-02]\n  [9.86748397e-01 3.14563405e-14 9.11554252e-13 1.32516036e-02]]\n\n [[9.94882643e-01 5.67658316e-11 4.71975459e-10 5.11735026e-03]\n  [9.94457245e-01 1.15439240e-14 1.63356619e-13 5.54279005e-03]\n  [9.92876589e-01 1.49078572e-15 6.86590203e-14 7.12333713e-03]\n  [9.90429401e-01 3.23865970e-15 2.50023065e-13 9.57065728e-03]\n  [9.90131319e-01 2.22587172e-15 2.32702095e-13 9.86867584e-03]]\n\n ...\n\n [[9.07313824e-01 1.18505131e-05 4.16705079e-05 9.26326886e-02]\n  [9.07369256e-01 1.35774698e-07 9.40822531e-07 9.26296040e-02]\n  [9.25450206e-01 2.30699637e-08 2.56775309e-07 7.45495781e-02]\n  [9.31079566e-01 1.97060999e-08 2.52529560e-07 6.89202026e-02]\n  [9.33495164e-01 1.53269539e-08 2.06987721e-07 6.65045753e-02]]\n\n [[9.02509451e-01 2.26372431e-05 7.37028313e-05 9.73942280e-02]\n  [9.07870770e-01 3.73503269e-07 2.00619161e-06 9.21268836e-02]\n  [9.25313711e-01 9.12684897e-08 7.33808861e-07 7.46854395e-02]\n  [9.24002528e-01 8.85665656e-08 8.13364863e-07 7.59965181e-02]\n  [9.24581409e-01 7.36646015e-08 7.56545887e-07 7.54176676e-02]]\n\n [[8.69386613e-01 3.22173903e-04 8.60213477e-04 1.29430979e-01]\n  [9.17487741e-01 1.98855359e-05 6.35397228e-05 8.24287534e-02]\n  [9.30767775e-01 1.07578053e-05 3.91943104e-05 6.91822544e-02]\n  [9.28502619e-01 1.20713339e-05 4.66008933e-05 7.14387596e-02]\n  [9.24038291e-01 1.21160747e-05 4.85788223e-05 7.59010762e-02]]]\nPredicted mask after argmax for 2008_000897: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000897 has shape: (500, 350)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000897. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000897.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000897: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69126284e-01 1.05196841e-06 2.30751721e-06 3.08703277e-02]\n  [9.84628439e-01 1.81410509e-09 4.62440219e-09 1.53715694e-02]\n  [9.88795757e-01 1.58461327e-10 6.76534773e-10 1.12042613e-02]\n  [9.88778949e-01 1.35357558e-10 7.23797522e-10 1.12209832e-02]\n  [9.88631904e-01 1.01857453e-10 6.28446961e-10 1.13680465e-02]]\n\n [[9.88738894e-01 9.36225542e-10 4.62474770e-09 1.12611083e-02]\n  [9.89296377e-01 2.79808539e-13 1.80091781e-12 1.07035991e-02]\n  [9.88897979e-01 2.55606524e-14 3.65319970e-13 1.11020338e-02]\n  [9.87472415e-01 4.02793880e-14 8.58261162e-13 1.25275198e-02]\n  [9.86748397e-01 3.14563405e-14 9.11554252e-13 1.32516036e-02]]\n\n [[9.94882643e-01 5.67658316e-11 4.71975459e-10 5.11735026e-03]\n  [9.94457245e-01 1.15439240e-14 1.63356619e-13 5.54279005e-03]\n  [9.92876589e-01 1.49078572e-15 6.86590203e-14 7.12333713e-03]\n  [9.90429401e-01 3.23865970e-15 2.50023065e-13 9.57065728e-03]\n  [9.90131319e-01 2.22587172e-15 2.32702095e-13 9.86867584e-03]]\n\n ...\n\n [[9.07313824e-01 1.18505131e-05 4.16705079e-05 9.26326886e-02]\n  [9.07369256e-01 1.35774698e-07 9.40822531e-07 9.26296040e-02]\n  [9.25450206e-01 2.30699637e-08 2.56775309e-07 7.45495781e-02]\n  [9.31079566e-01 1.97060999e-08 2.52529560e-07 6.89202026e-02]\n  [9.33495164e-01 1.53269539e-08 2.06987721e-07 6.65045753e-02]]\n\n [[9.02509451e-01 2.26372431e-05 7.37028313e-05 9.73942280e-02]\n  [9.07870770e-01 3.73503269e-07 2.00619161e-06 9.21268836e-02]\n  [9.25313711e-01 9.12684897e-08 7.33808861e-07 7.46854395e-02]\n  [9.24002528e-01 8.85665656e-08 8.13364863e-07 7.59965181e-02]\n  [9.24581409e-01 7.36646015e-08 7.56545887e-07 7.54176676e-02]]\n\n [[8.69386613e-01 3.22173903e-04 8.60213477e-04 1.29430979e-01]\n  [9.17487741e-01 1.98855359e-05 6.35397228e-05 8.24287534e-02]\n  [9.30767775e-01 1.07578053e-05 3.91943104e-05 6.91822544e-02]\n  [9.28502619e-01 1.20713339e-05 4.66008933e-05 7.14387596e-02]\n  [9.24038291e-01 1.21160747e-05 4.85788223e-05 7.59010762e-02]]]\nPredicted mask after argmax for 2008_000897: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000897 has shape: (500, 350)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000897. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000901.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000901: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84459400e-01 7.96201789e-08 2.01201871e-07 1.55403093e-02]\n  [9.93673325e-01 4.06110874e-11 1.01634624e-10 6.32669171e-03]\n  [9.96160984e-01 1.31907430e-12 6.08798255e-12 3.83896963e-03]\n  [9.96593773e-01 4.90573890e-13 3.25536776e-12 3.40619241e-03]\n  [9.96965230e-01 1.89851024e-13 1.52532490e-12 3.03476374e-03]]\n\n [[9.95222807e-01 2.23469489e-11 1.36541181e-10 4.77718096e-03]\n  [9.95624661e-01 1.33207959e-15 1.00008257e-14 4.37533297e-03]\n  [9.95398223e-01 5.14753436e-17 9.39426984e-16 4.60181199e-03]\n  [9.95072424e-01 3.97778550e-17 1.30486834e-15 4.92758676e-03]\n  [9.95189190e-01 1.38622749e-17 7.03906878e-16 4.81081009e-03]]\n\n [[9.98254955e-01 6.94038089e-13 7.68324293e-12 1.74508838e-03]\n  [9.98130500e-01 2.97758021e-17 5.71220173e-16 1.86949049e-03]\n  [9.97373343e-01 1.96106036e-18 1.63369190e-16 2.62661232e-03]\n  [9.96349454e-01 2.76843847e-18 4.72048232e-16 3.65053490e-03]\n  [9.96360838e-01 1.01482147e-18 2.83361717e-16 3.63918417e-03]]\n\n ...\n\n [[8.82650435e-01 1.00726589e-04 2.60415894e-04 1.16988465e-01]\n  [8.73101294e-01 4.58278782e-06 1.73928838e-05 1.26876742e-01]\n  [8.75325382e-01 2.51696679e-06 1.32276264e-05 1.24658920e-01]\n  [8.73094141e-01 3.78269692e-06 2.17324905e-05 1.26880348e-01]\n  [8.68456841e-01 4.92967638e-06 2.76833907e-05 1.31510556e-01]]\n\n [[8.70305300e-01 1.83060867e-04 4.48907202e-04 1.29062772e-01]\n  [8.69960845e-01 9.85549832e-06 3.26031259e-05 1.29996687e-01]\n  [8.77970695e-01 5.95538040e-06 2.62413851e-05 1.21997014e-01]\n  [8.70332003e-01 8.77649563e-06 4.08998494e-05 1.29618332e-01]\n  [8.61253440e-01 1.09442617e-05 5.27051343e-05 1.38682857e-01]]\n\n [[8.27459872e-01 1.54141418e-03 3.24896001e-03 1.67749748e-01]\n  [8.72142375e-01 2.11646693e-04 5.03583346e-04 1.27142340e-01]\n  [8.81099284e-01 1.84988530e-04 4.66754660e-04 1.18248992e-01]\n  [8.72145355e-01 2.56166182e-04 6.58794539e-04 1.26939669e-01]\n  [8.60505939e-01 3.10516363e-04 7.97847868e-04 1.38385639e-01]]]\nPredicted mask after argmax for 2008_000901: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000901 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000901. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000901.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000901: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84459400e-01 7.96201789e-08 2.01201871e-07 1.55403093e-02]\n  [9.93673325e-01 4.06110874e-11 1.01634624e-10 6.32669171e-03]\n  [9.96160984e-01 1.31907430e-12 6.08798255e-12 3.83896963e-03]\n  [9.96593773e-01 4.90573890e-13 3.25536776e-12 3.40619241e-03]\n  [9.96965230e-01 1.89851024e-13 1.52532490e-12 3.03476374e-03]]\n\n [[9.95222807e-01 2.23469489e-11 1.36541181e-10 4.77718096e-03]\n  [9.95624661e-01 1.33207959e-15 1.00008257e-14 4.37533297e-03]\n  [9.95398223e-01 5.14753436e-17 9.39426984e-16 4.60181199e-03]\n  [9.95072424e-01 3.97778550e-17 1.30486834e-15 4.92758676e-03]\n  [9.95189190e-01 1.38622749e-17 7.03906878e-16 4.81081009e-03]]\n\n [[9.98254955e-01 6.94038089e-13 7.68324293e-12 1.74508838e-03]\n  [9.98130500e-01 2.97758021e-17 5.71220173e-16 1.86949049e-03]\n  [9.97373343e-01 1.96106036e-18 1.63369190e-16 2.62661232e-03]\n  [9.96349454e-01 2.76843847e-18 4.72048232e-16 3.65053490e-03]\n  [9.96360838e-01 1.01482147e-18 2.83361717e-16 3.63918417e-03]]\n\n ...\n\n [[8.82650435e-01 1.00726589e-04 2.60415894e-04 1.16988465e-01]\n  [8.73101294e-01 4.58278782e-06 1.73928838e-05 1.26876742e-01]\n  [8.75325382e-01 2.51696679e-06 1.32276264e-05 1.24658920e-01]\n  [8.73094141e-01 3.78269692e-06 2.17324905e-05 1.26880348e-01]\n  [8.68456841e-01 4.92967638e-06 2.76833907e-05 1.31510556e-01]]\n\n [[8.70305300e-01 1.83060867e-04 4.48907202e-04 1.29062772e-01]\n  [8.69960845e-01 9.85549832e-06 3.26031259e-05 1.29996687e-01]\n  [8.77970695e-01 5.95538040e-06 2.62413851e-05 1.21997014e-01]\n  [8.70332003e-01 8.77649563e-06 4.08998494e-05 1.29618332e-01]\n  [8.61253440e-01 1.09442617e-05 5.27051343e-05 1.38682857e-01]]\n\n [[8.27459872e-01 1.54141418e-03 3.24896001e-03 1.67749748e-01]\n  [8.72142375e-01 2.11646693e-04 5.03583346e-04 1.27142340e-01]\n  [8.81099284e-01 1.84988530e-04 4.66754660e-04 1.18248992e-01]\n  [8.72145355e-01 2.56166182e-04 6.58794539e-04 1.26939669e-01]\n  [8.60505939e-01 3.10516363e-04 7.97847868e-04 1.38385639e-01]]]\nPredicted mask after argmax for 2008_000901: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000901 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000901. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000905.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000905: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81207192e-01 2.06367474e-07 4.84023133e-07 1.87921543e-02]\n  [9.91600394e-01 2.15779866e-10 4.70587069e-10 8.39959830e-03]\n  [9.94279861e-01 1.25771988e-11 4.80326889e-11 5.72010828e-03]\n  [9.94353414e-01 7.58947072e-12 4.00364672e-11 5.64653799e-03]\n  [9.94577885e-01 4.20993448e-12 2.58119116e-11 5.42212743e-03]]\n\n [[9.94110525e-01 8.41292036e-11 4.44631526e-10 5.88948233e-03]\n  [9.94209230e-01 1.22199893e-14 7.32531169e-14 5.79067087e-03]\n  [9.93053615e-01 1.00698114e-15 1.37106445e-14 6.94642309e-03]\n  [9.91669893e-01 1.56491391e-15 3.63240627e-14 8.33005272e-03]\n  [9.91053283e-01 1.03132275e-15 3.37245863e-14 8.94677080e-03]]\n\n [[9.97903705e-01 2.18131806e-12 2.04563345e-11 2.09625275e-03]\n  [9.97620165e-01 2.26284058e-16 3.26498696e-15 2.37980764e-03]\n  [9.96201336e-01 3.70941867e-17 2.09543775e-15 3.79864313e-03]\n  [9.93639052e-01 1.24312077e-16 1.30607729e-14 6.36090618e-03]\n  [9.92686987e-01 9.51341812e-17 1.49036514e-14 7.31302099e-03]]\n\n ...\n\n [[9.29455042e-01 9.18297872e-07 4.84020939e-06 7.05391467e-02]\n  [9.51355755e-01 8.29334046e-10 1.25767095e-08 4.86441851e-02]\n  [9.72319961e-01 1.55108322e-11 5.13879550e-10 2.76800599e-02]\n  [9.78268325e-01 4.05680350e-12 1.66136743e-10 2.17316300e-02]\n  [9.80935693e-01 1.59280152e-12 7.49660889e-11 1.90642960e-02]]\n\n [[9.24996674e-01 2.23081224e-06 1.04234132e-05 7.49906003e-02]\n  [9.49224651e-01 3.88179844e-09 3.89368680e-08 5.07752635e-02]\n  [9.68074024e-01 1.50351578e-10 2.78320145e-09 3.19260396e-02]\n  [9.72393811e-01 5.07191338e-11 1.23597677e-09 2.76062377e-02]\n  [9.75548983e-01 2.27906999e-11 6.75947520e-10 2.44510695e-02]]\n\n [[9.02454495e-01 5.94799967e-05 2.10605576e-04 9.72753912e-02]\n  [9.54628766e-01 7.89374440e-07 3.84760096e-06 4.53665964e-02]\n  [9.71852839e-01 1.20267572e-07 7.44366162e-07 2.81463843e-02]\n  [9.73528028e-01 7.79116007e-08 5.31917578e-07 2.64712162e-02]\n  [9.75083947e-01 5.59294833e-08 4.12596563e-07 2.49156263e-02]]]\nPredicted mask after argmax for 2008_000905: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000905 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000905. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000905.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000905: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81207192e-01 2.06367474e-07 4.84023133e-07 1.87921543e-02]\n  [9.91600394e-01 2.15779866e-10 4.70587069e-10 8.39959830e-03]\n  [9.94279861e-01 1.25771988e-11 4.80326889e-11 5.72010828e-03]\n  [9.94353414e-01 7.58947072e-12 4.00364672e-11 5.64653799e-03]\n  [9.94577885e-01 4.20993448e-12 2.58119116e-11 5.42212743e-03]]\n\n [[9.94110525e-01 8.41292036e-11 4.44631526e-10 5.88948233e-03]\n  [9.94209230e-01 1.22199893e-14 7.32531169e-14 5.79067087e-03]\n  [9.93053615e-01 1.00698114e-15 1.37106445e-14 6.94642309e-03]\n  [9.91669893e-01 1.56491391e-15 3.63240627e-14 8.33005272e-03]\n  [9.91053283e-01 1.03132275e-15 3.37245863e-14 8.94677080e-03]]\n\n [[9.97903705e-01 2.18131806e-12 2.04563345e-11 2.09625275e-03]\n  [9.97620165e-01 2.26284058e-16 3.26498696e-15 2.37980764e-03]\n  [9.96201336e-01 3.70941867e-17 2.09543775e-15 3.79864313e-03]\n  [9.93639052e-01 1.24312077e-16 1.30607729e-14 6.36090618e-03]\n  [9.92686987e-01 9.51341812e-17 1.49036514e-14 7.31302099e-03]]\n\n ...\n\n [[9.29455042e-01 9.18297872e-07 4.84020939e-06 7.05391467e-02]\n  [9.51355755e-01 8.29334046e-10 1.25767095e-08 4.86441851e-02]\n  [9.72319961e-01 1.55108322e-11 5.13879550e-10 2.76800599e-02]\n  [9.78268325e-01 4.05680350e-12 1.66136743e-10 2.17316300e-02]\n  [9.80935693e-01 1.59280152e-12 7.49660889e-11 1.90642960e-02]]\n\n [[9.24996674e-01 2.23081224e-06 1.04234132e-05 7.49906003e-02]\n  [9.49224651e-01 3.88179844e-09 3.89368680e-08 5.07752635e-02]\n  [9.68074024e-01 1.50351578e-10 2.78320145e-09 3.19260396e-02]\n  [9.72393811e-01 5.07191338e-11 1.23597677e-09 2.76062377e-02]\n  [9.75548983e-01 2.27906999e-11 6.75947520e-10 2.44510695e-02]]\n\n [[9.02454495e-01 5.94799967e-05 2.10605576e-04 9.72753912e-02]\n  [9.54628766e-01 7.89374440e-07 3.84760096e-06 4.53665964e-02]\n  [9.71852839e-01 1.20267572e-07 7.44366162e-07 2.81463843e-02]\n  [9.73528028e-01 7.79116007e-08 5.31917578e-07 2.64712162e-02]\n  [9.75083947e-01 5.59294833e-08 4.12596563e-07 2.49156263e-02]]]\nPredicted mask after argmax for 2008_000905: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000905 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000905. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000912.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000912: (1, 256, 256, 4)\nSome predicted mask values: [[[9.82505143e-01 1.30790937e-07 3.24770696e-07 1.74943954e-02]\n  [9.92601931e-01 7.88913657e-11 1.88104018e-10 7.39801163e-03]\n  [9.95591819e-01 1.89101664e-12 9.22721708e-12 4.40819375e-03]\n  [9.96207833e-01 4.33030646e-13 3.42589563e-12 3.79217276e-03]\n  [9.96907413e-01 8.85855517e-14 9.35821841e-13 3.09264590e-03]]\n\n [[9.95094478e-01 2.67693420e-11 1.70221962e-10 4.90544550e-03]\n  [9.95592773e-01 1.26038725e-15 9.92037110e-15 4.40724147e-03]\n  [9.95897472e-01 2.16171295e-17 5.23325701e-16 4.10253694e-03]\n  [9.95833993e-01 7.30356309e-18 3.73897469e-16 4.16595954e-03]\n  [9.96400118e-01 1.01846065e-18 9.08929615e-17 3.59983486e-03]]\n\n [[9.98570919e-01 2.76219341e-13 3.44904747e-12 1.42905652e-03]\n  [9.98543143e-01 5.03366121e-18 1.15951902e-16 1.45687105e-03]\n  [9.98023748e-01 9.81035819e-20 1.33944066e-17 1.97630259e-03]\n  [9.97757554e-01 3.39062852e-20 1.34123573e-17 2.24242639e-03]\n  [9.98235106e-01 2.62611144e-21 2.05306104e-18 1.76490645e-03]]\n\n ...\n\n [[9.20368850e-01 1.50288206e-05 4.76185451e-05 7.95684904e-02]\n  [9.08882678e-01 3.78125264e-07 1.76065987e-06 9.11152959e-02]\n  [9.12171781e-01 1.59632435e-07 1.21993503e-06 8.78269002e-02]\n  [9.09794986e-01 2.15568477e-07 1.89798629e-06 9.02028829e-02]\n  [9.09265399e-01 2.28095260e-07 2.04627213e-06 9.07323137e-02]]\n\n [[8.98313940e-01 5.28632627e-05 1.50942244e-04 1.01482235e-01]\n  [8.94625306e-01 1.88830336e-06 7.25010341e-06 1.05365582e-01]\n  [9.05764580e-01 8.57873772e-07 5.00032002e-06 9.42296609e-02]\n  [9.00081694e-01 1.05059519e-06 6.82642803e-06 9.99104008e-02]\n  [8.95367146e-01 1.04791570e-06 7.43109422e-06 1.04624331e-01]]\n\n [[8.52338135e-01 7.89934187e-04 1.85450865e-03 1.45017490e-01]\n  [8.94194424e-01 8.52162120e-05 2.31149374e-04 1.05489314e-01]\n  [9.02656853e-01 6.56494522e-05 1.95624234e-04 9.70818922e-02]\n  [8.97089243e-01 7.97746834e-05 2.50728976e-04 1.02580205e-01]\n  [8.87063086e-01 8.33937884e-05 2.71440484e-04 1.12582058e-01]]]\nPredicted mask after argmax for 2008_000912: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000912 has shape: (480, 338)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000912. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000912.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000912: (1, 256, 256, 4)\nSome predicted mask values: [[[9.82505143e-01 1.30790937e-07 3.24770696e-07 1.74943954e-02]\n  [9.92601931e-01 7.88913657e-11 1.88104018e-10 7.39801163e-03]\n  [9.95591819e-01 1.89101664e-12 9.22721708e-12 4.40819375e-03]\n  [9.96207833e-01 4.33030646e-13 3.42589563e-12 3.79217276e-03]\n  [9.96907413e-01 8.85855517e-14 9.35821841e-13 3.09264590e-03]]\n\n [[9.95094478e-01 2.67693420e-11 1.70221962e-10 4.90544550e-03]\n  [9.95592773e-01 1.26038725e-15 9.92037110e-15 4.40724147e-03]\n  [9.95897472e-01 2.16171295e-17 5.23325701e-16 4.10253694e-03]\n  [9.95833993e-01 7.30356309e-18 3.73897469e-16 4.16595954e-03]\n  [9.96400118e-01 1.01846065e-18 9.08929615e-17 3.59983486e-03]]\n\n [[9.98570919e-01 2.76219341e-13 3.44904747e-12 1.42905652e-03]\n  [9.98543143e-01 5.03366121e-18 1.15951902e-16 1.45687105e-03]\n  [9.98023748e-01 9.81035819e-20 1.33944066e-17 1.97630259e-03]\n  [9.97757554e-01 3.39062852e-20 1.34123573e-17 2.24242639e-03]\n  [9.98235106e-01 2.62611144e-21 2.05306104e-18 1.76490645e-03]]\n\n ...\n\n [[9.20368850e-01 1.50288206e-05 4.76185451e-05 7.95684904e-02]\n  [9.08882678e-01 3.78125264e-07 1.76065987e-06 9.11152959e-02]\n  [9.12171781e-01 1.59632435e-07 1.21993503e-06 8.78269002e-02]\n  [9.09794986e-01 2.15568477e-07 1.89798629e-06 9.02028829e-02]\n  [9.09265399e-01 2.28095260e-07 2.04627213e-06 9.07323137e-02]]\n\n [[8.98313940e-01 5.28632627e-05 1.50942244e-04 1.01482235e-01]\n  [8.94625306e-01 1.88830336e-06 7.25010341e-06 1.05365582e-01]\n  [9.05764580e-01 8.57873772e-07 5.00032002e-06 9.42296609e-02]\n  [9.00081694e-01 1.05059519e-06 6.82642803e-06 9.99104008e-02]\n  [8.95367146e-01 1.04791570e-06 7.43109422e-06 1.04624331e-01]]\n\n [[8.52338135e-01 7.89934187e-04 1.85450865e-03 1.45017490e-01]\n  [8.94194424e-01 8.52162120e-05 2.31149374e-04 1.05489314e-01]\n  [9.02656853e-01 6.56494522e-05 1.95624234e-04 9.70818922e-02]\n  [8.97089243e-01 7.97746834e-05 2.50728976e-04 1.02580205e-01]\n  [8.87063086e-01 8.33937884e-05 2.71440484e-04 1.12582058e-01]]]\nPredicted mask after argmax for 2008_000912: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000912 has shape: (480, 338)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000912. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000912.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000912: (1, 256, 256, 4)\nSome predicted mask values: [[[9.82505143e-01 1.30790937e-07 3.24770696e-07 1.74943954e-02]\n  [9.92601931e-01 7.88913657e-11 1.88104018e-10 7.39801163e-03]\n  [9.95591819e-01 1.89101664e-12 9.22721708e-12 4.40819375e-03]\n  [9.96207833e-01 4.33030646e-13 3.42589563e-12 3.79217276e-03]\n  [9.96907413e-01 8.85855517e-14 9.35821841e-13 3.09264590e-03]]\n\n [[9.95094478e-01 2.67693420e-11 1.70221962e-10 4.90544550e-03]\n  [9.95592773e-01 1.26038725e-15 9.92037110e-15 4.40724147e-03]\n  [9.95897472e-01 2.16171295e-17 5.23325701e-16 4.10253694e-03]\n  [9.95833993e-01 7.30356309e-18 3.73897469e-16 4.16595954e-03]\n  [9.96400118e-01 1.01846065e-18 9.08929615e-17 3.59983486e-03]]\n\n [[9.98570919e-01 2.76219341e-13 3.44904747e-12 1.42905652e-03]\n  [9.98543143e-01 5.03366121e-18 1.15951902e-16 1.45687105e-03]\n  [9.98023748e-01 9.81035819e-20 1.33944066e-17 1.97630259e-03]\n  [9.97757554e-01 3.39062852e-20 1.34123573e-17 2.24242639e-03]\n  [9.98235106e-01 2.62611144e-21 2.05306104e-18 1.76490645e-03]]\n\n ...\n\n [[9.20368850e-01 1.50288206e-05 4.76185451e-05 7.95684904e-02]\n  [9.08882678e-01 3.78125264e-07 1.76065987e-06 9.11152959e-02]\n  [9.12171781e-01 1.59632435e-07 1.21993503e-06 8.78269002e-02]\n  [9.09794986e-01 2.15568477e-07 1.89798629e-06 9.02028829e-02]\n  [9.09265399e-01 2.28095260e-07 2.04627213e-06 9.07323137e-02]]\n\n [[8.98313940e-01 5.28632627e-05 1.50942244e-04 1.01482235e-01]\n  [8.94625306e-01 1.88830336e-06 7.25010341e-06 1.05365582e-01]\n  [9.05764580e-01 8.57873772e-07 5.00032002e-06 9.42296609e-02]\n  [9.00081694e-01 1.05059519e-06 6.82642803e-06 9.99104008e-02]\n  [8.95367146e-01 1.04791570e-06 7.43109422e-06 1.04624331e-01]]\n\n [[8.52338135e-01 7.89934187e-04 1.85450865e-03 1.45017490e-01]\n  [8.94194424e-01 8.52162120e-05 2.31149374e-04 1.05489314e-01]\n  [9.02656853e-01 6.56494522e-05 1.95624234e-04 9.70818922e-02]\n  [8.97089243e-01 7.97746834e-05 2.50728976e-04 1.02580205e-01]\n  [8.87063086e-01 8.33937884e-05 2.71440484e-04 1.12582058e-01]]]\nPredicted mask after argmax for 2008_000912: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000912 has shape: (480, 338)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000912. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000912.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000912: (1, 256, 256, 4)\nSome predicted mask values: [[[9.82505143e-01 1.30790937e-07 3.24770696e-07 1.74943954e-02]\n  [9.92601931e-01 7.88913657e-11 1.88104018e-10 7.39801163e-03]\n  [9.95591819e-01 1.89101664e-12 9.22721708e-12 4.40819375e-03]\n  [9.96207833e-01 4.33030646e-13 3.42589563e-12 3.79217276e-03]\n  [9.96907413e-01 8.85855517e-14 9.35821841e-13 3.09264590e-03]]\n\n [[9.95094478e-01 2.67693420e-11 1.70221962e-10 4.90544550e-03]\n  [9.95592773e-01 1.26038725e-15 9.92037110e-15 4.40724147e-03]\n  [9.95897472e-01 2.16171295e-17 5.23325701e-16 4.10253694e-03]\n  [9.95833993e-01 7.30356309e-18 3.73897469e-16 4.16595954e-03]\n  [9.96400118e-01 1.01846065e-18 9.08929615e-17 3.59983486e-03]]\n\n [[9.98570919e-01 2.76219341e-13 3.44904747e-12 1.42905652e-03]\n  [9.98543143e-01 5.03366121e-18 1.15951902e-16 1.45687105e-03]\n  [9.98023748e-01 9.81035819e-20 1.33944066e-17 1.97630259e-03]\n  [9.97757554e-01 3.39062852e-20 1.34123573e-17 2.24242639e-03]\n  [9.98235106e-01 2.62611144e-21 2.05306104e-18 1.76490645e-03]]\n\n ...\n\n [[9.20368850e-01 1.50288206e-05 4.76185451e-05 7.95684904e-02]\n  [9.08882678e-01 3.78125264e-07 1.76065987e-06 9.11152959e-02]\n  [9.12171781e-01 1.59632435e-07 1.21993503e-06 8.78269002e-02]\n  [9.09794986e-01 2.15568477e-07 1.89798629e-06 9.02028829e-02]\n  [9.09265399e-01 2.28095260e-07 2.04627213e-06 9.07323137e-02]]\n\n [[8.98313940e-01 5.28632627e-05 1.50942244e-04 1.01482235e-01]\n  [8.94625306e-01 1.88830336e-06 7.25010341e-06 1.05365582e-01]\n  [9.05764580e-01 8.57873772e-07 5.00032002e-06 9.42296609e-02]\n  [9.00081694e-01 1.05059519e-06 6.82642803e-06 9.99104008e-02]\n  [8.95367146e-01 1.04791570e-06 7.43109422e-06 1.04624331e-01]]\n\n [[8.52338135e-01 7.89934187e-04 1.85450865e-03 1.45017490e-01]\n  [8.94194424e-01 8.52162120e-05 2.31149374e-04 1.05489314e-01]\n  [9.02656853e-01 6.56494522e-05 1.95624234e-04 9.70818922e-02]\n  [8.97089243e-01 7.97746834e-05 2.50728976e-04 1.02580205e-01]\n  [8.87063086e-01 8.33937884e-05 2.71440484e-04 1.12582058e-01]]]\nPredicted mask after argmax for 2008_000912: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000912 has shape: (480, 338)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000912. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000915.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000915: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8033911e-01 1.8748732e-07 4.5127916e-07 1.9660207e-02]\n  [9.9121118e-01 1.5508556e-10 3.9229517e-10 8.7888865e-03]\n  [9.9412960e-01 8.3169652e-12 3.7765832e-11 5.8703702e-03]\n  [9.9435753e-01 4.9866205e-12 3.0621655e-11 5.6424243e-03]\n  [9.9467587e-01 2.5182322e-12 1.8690452e-11 5.3240601e-03]]\n\n [[9.9366117e-01 7.4471665e-11 4.2735415e-10 6.3387621e-03]\n  [9.9400592e-01 8.4320326e-15 6.0674183e-14 5.9940764e-03]\n  [9.9356633e-01 5.2491458e-16 8.9688380e-15 6.4336541e-03]\n  [9.9278790e-01 6.4974637e-16 1.8313959e-14 7.2121476e-03]\n  [9.9271750e-01 3.2441346e-16 1.3502677e-14 7.2824694e-03]]\n\n [[9.9750501e-01 2.9175707e-12 2.9544027e-11 2.4950244e-03]\n  [9.9727362e-01 2.3224738e-16 4.0002833e-15 2.7263341e-03]\n  [9.9620867e-01 2.3356927e-17 1.5628800e-15 3.7913658e-03]\n  [9.9456948e-01 4.7106447e-17 5.9555234e-15 5.4304958e-03]\n  [9.9443060e-01 2.2608507e-17 4.3771516e-15 5.5693891e-03]]\n\n ...\n\n [[9.5962340e-01 5.1628604e-07 2.2534691e-06 4.0373825e-02]\n  [9.5543385e-01 3.2953782e-09 2.3000634e-08 4.4566143e-02]\n  [9.5448416e-01 8.7240526e-10 1.2448176e-08 4.5515876e-02]\n  [9.5562327e-01 9.8312547e-10 1.7903004e-08 4.4376764e-02]\n  [9.5724207e-01 8.1163976e-10 1.5932931e-08 4.2757940e-02]]\n\n [[9.4529647e-01 2.2244451e-06 8.8697216e-06 5.4692347e-02]\n  [9.4603586e-01 2.1167459e-08 1.2031107e-07 5.3964037e-02]\n  [9.5154655e-01 6.4010766e-09 6.5614444e-08 4.8453327e-02]\n  [9.4869751e-01 7.2540463e-09 8.9245397e-08 5.1302366e-02]\n  [9.4794810e-01 6.1161640e-09 8.9304606e-08 5.2051794e-02]]\n\n [[9.0777010e-01 8.6967084e-05 2.6680616e-04 9.1876075e-02]\n  [9.4110084e-01 3.7485468e-06 1.3859251e-05 5.8881536e-02]\n  [9.4845569e-01 2.2441370e-06 9.5332662e-06 5.1532552e-02]\n  [9.4494784e-01 2.9467881e-06 1.3685911e-05 5.5035640e-02]\n  [9.3861574e-01 3.0389024e-06 1.5151449e-05 6.1366089e-02]]]\nPredicted mask after argmax for 2008_000915: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000915 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000915. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000915.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000915: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8033911e-01 1.8748732e-07 4.5127916e-07 1.9660207e-02]\n  [9.9121118e-01 1.5508556e-10 3.9229517e-10 8.7888865e-03]\n  [9.9412960e-01 8.3169652e-12 3.7765832e-11 5.8703702e-03]\n  [9.9435753e-01 4.9866205e-12 3.0621655e-11 5.6424243e-03]\n  [9.9467587e-01 2.5182322e-12 1.8690452e-11 5.3240601e-03]]\n\n [[9.9366117e-01 7.4471665e-11 4.2735415e-10 6.3387621e-03]\n  [9.9400592e-01 8.4320326e-15 6.0674183e-14 5.9940764e-03]\n  [9.9356633e-01 5.2491458e-16 8.9688380e-15 6.4336541e-03]\n  [9.9278790e-01 6.4974637e-16 1.8313959e-14 7.2121476e-03]\n  [9.9271750e-01 3.2441346e-16 1.3502677e-14 7.2824694e-03]]\n\n [[9.9750501e-01 2.9175707e-12 2.9544027e-11 2.4950244e-03]\n  [9.9727362e-01 2.3224738e-16 4.0002833e-15 2.7263341e-03]\n  [9.9620867e-01 2.3356927e-17 1.5628800e-15 3.7913658e-03]\n  [9.9456948e-01 4.7106447e-17 5.9555234e-15 5.4304958e-03]\n  [9.9443060e-01 2.2608507e-17 4.3771516e-15 5.5693891e-03]]\n\n ...\n\n [[9.5962340e-01 5.1628604e-07 2.2534691e-06 4.0373825e-02]\n  [9.5543385e-01 3.2953782e-09 2.3000634e-08 4.4566143e-02]\n  [9.5448416e-01 8.7240526e-10 1.2448176e-08 4.5515876e-02]\n  [9.5562327e-01 9.8312547e-10 1.7903004e-08 4.4376764e-02]\n  [9.5724207e-01 8.1163976e-10 1.5932931e-08 4.2757940e-02]]\n\n [[9.4529647e-01 2.2244451e-06 8.8697216e-06 5.4692347e-02]\n  [9.4603586e-01 2.1167459e-08 1.2031107e-07 5.3964037e-02]\n  [9.5154655e-01 6.4010766e-09 6.5614444e-08 4.8453327e-02]\n  [9.4869751e-01 7.2540463e-09 8.9245397e-08 5.1302366e-02]\n  [9.4794810e-01 6.1161640e-09 8.9304606e-08 5.2051794e-02]]\n\n [[9.0777010e-01 8.6967084e-05 2.6680616e-04 9.1876075e-02]\n  [9.4110084e-01 3.7485468e-06 1.3859251e-05 5.8881536e-02]\n  [9.4845569e-01 2.2441370e-06 9.5332662e-06 5.1532552e-02]\n  [9.4494784e-01 2.9467881e-06 1.3685911e-05 5.5035640e-02]\n  [9.3861574e-01 3.0389024e-06 1.5151449e-05 6.1366089e-02]]]\nPredicted mask after argmax for 2008_000915: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000915 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000915. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000915.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000915: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8033911e-01 1.8748732e-07 4.5127916e-07 1.9660207e-02]\n  [9.9121118e-01 1.5508556e-10 3.9229517e-10 8.7888865e-03]\n  [9.9412960e-01 8.3169652e-12 3.7765832e-11 5.8703702e-03]\n  [9.9435753e-01 4.9866205e-12 3.0621655e-11 5.6424243e-03]\n  [9.9467587e-01 2.5182322e-12 1.8690452e-11 5.3240601e-03]]\n\n [[9.9366117e-01 7.4471665e-11 4.2735415e-10 6.3387621e-03]\n  [9.9400592e-01 8.4320326e-15 6.0674183e-14 5.9940764e-03]\n  [9.9356633e-01 5.2491458e-16 8.9688380e-15 6.4336541e-03]\n  [9.9278790e-01 6.4974637e-16 1.8313959e-14 7.2121476e-03]\n  [9.9271750e-01 3.2441346e-16 1.3502677e-14 7.2824694e-03]]\n\n [[9.9750501e-01 2.9175707e-12 2.9544027e-11 2.4950244e-03]\n  [9.9727362e-01 2.3224738e-16 4.0002833e-15 2.7263341e-03]\n  [9.9620867e-01 2.3356927e-17 1.5628800e-15 3.7913658e-03]\n  [9.9456948e-01 4.7106447e-17 5.9555234e-15 5.4304958e-03]\n  [9.9443060e-01 2.2608507e-17 4.3771516e-15 5.5693891e-03]]\n\n ...\n\n [[9.5962340e-01 5.1628604e-07 2.2534691e-06 4.0373825e-02]\n  [9.5543385e-01 3.2953782e-09 2.3000634e-08 4.4566143e-02]\n  [9.5448416e-01 8.7240526e-10 1.2448176e-08 4.5515876e-02]\n  [9.5562327e-01 9.8312547e-10 1.7903004e-08 4.4376764e-02]\n  [9.5724207e-01 8.1163976e-10 1.5932931e-08 4.2757940e-02]]\n\n [[9.4529647e-01 2.2244451e-06 8.8697216e-06 5.4692347e-02]\n  [9.4603586e-01 2.1167459e-08 1.2031107e-07 5.3964037e-02]\n  [9.5154655e-01 6.4010766e-09 6.5614444e-08 4.8453327e-02]\n  [9.4869751e-01 7.2540463e-09 8.9245397e-08 5.1302366e-02]\n  [9.4794810e-01 6.1161640e-09 8.9304606e-08 5.2051794e-02]]\n\n [[9.0777010e-01 8.6967084e-05 2.6680616e-04 9.1876075e-02]\n  [9.4110084e-01 3.7485468e-06 1.3859251e-05 5.8881536e-02]\n  [9.4845569e-01 2.2441370e-06 9.5332662e-06 5.1532552e-02]\n  [9.4494784e-01 2.9467881e-06 1.3685911e-05 5.5035640e-02]\n  [9.3861574e-01 3.0389024e-06 1.5151449e-05 6.1366089e-02]]]\nPredicted mask after argmax for 2008_000915: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000915 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000915. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000919.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000919: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84453857e-01 1.21171936e-07 2.86271955e-07 1.55458106e-02]\n  [9.93306696e-01 1.20563518e-10 2.28238456e-10 6.69330452e-03]\n  [9.95457113e-01 6.05996243e-12 2.02565326e-11 4.54285881e-03]\n  [9.95836735e-01 2.01157558e-12 1.04272086e-11 4.16322006e-03]\n  [9.96525109e-01 5.08456883e-13 3.35139555e-12 3.47489025e-03]]\n\n [[9.95514929e-01 3.72084273e-11 1.99664146e-10 4.48507490e-03]\n  [9.95321333e-01 4.55434369e-15 2.48371338e-14 4.67868196e-03]\n  [9.93880987e-01 3.61945384e-16 4.53263297e-15 6.11904822e-03]\n  [9.93267179e-01 2.78256279e-16 6.89082775e-15 6.73289690e-03]\n  [9.93734300e-01 6.36034525e-17 2.56113371e-15 6.26569334e-03]]\n\n [[9.98542190e-01 6.51469872e-13 6.11648362e-12 1.45788421e-03]\n  [9.98271346e-01 5.97342127e-17 7.73263419e-16 1.72866124e-03]\n  [9.97138023e-01 8.68167081e-18 5.18715301e-16 2.86201434e-03]\n  [9.95121062e-01 1.56631414e-17 2.07523707e-15 4.87894705e-03]\n  [9.95252132e-01 3.66073785e-18 8.98559338e-16 4.74791648e-03]]\n\n ...\n\n [[9.01068211e-01 1.23147365e-05 4.54706569e-05 9.88739952e-02]\n  [9.10033047e-01 1.14329389e-07 8.68835741e-07 8.99659917e-02]\n  [9.26818788e-01 2.01739265e-08 2.33702409e-07 7.31810257e-02]\n  [9.31175172e-01 1.96321501e-08 2.52022318e-07 6.88245744e-02]\n  [9.32837248e-01 1.52799409e-08 2.06177148e-07 6.71625808e-02]]\n\n [[8.95118475e-01 2.37902714e-05 8.13933293e-05 1.04776300e-01]\n  [9.11072195e-01 2.84679061e-07 1.67910935e-06 8.89258757e-02]\n  [9.28269982e-01 5.64991893e-08 4.80857238e-07 7.17294663e-02]\n  [9.29673135e-01 5.16432515e-08 5.08593530e-07 7.03263506e-02]\n  [9.28460658e-01 4.40965273e-08 4.86135946e-07 7.15388209e-02]]\n\n [[8.63954723e-01 3.29228933e-04 9.06473724e-04 1.34809569e-01]\n  [9.19456422e-01 1.56261576e-05 5.20094145e-05 8.04758295e-02]\n  [9.37206328e-01 6.26127394e-06 2.43483391e-05 6.27630651e-02]\n  [9.35412347e-01 6.88604177e-06 2.79713877e-05 6.45527244e-02]\n  [9.31095898e-01 7.58810984e-06 3.20031249e-05 6.88645467e-02]]]\nPredicted mask after argmax for 2008_000919: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000919 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000919. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000919.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000919: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84453857e-01 1.21171936e-07 2.86271955e-07 1.55458106e-02]\n  [9.93306696e-01 1.20563518e-10 2.28238456e-10 6.69330452e-03]\n  [9.95457113e-01 6.05996243e-12 2.02565326e-11 4.54285881e-03]\n  [9.95836735e-01 2.01157558e-12 1.04272086e-11 4.16322006e-03]\n  [9.96525109e-01 5.08456883e-13 3.35139555e-12 3.47489025e-03]]\n\n [[9.95514929e-01 3.72084273e-11 1.99664146e-10 4.48507490e-03]\n  [9.95321333e-01 4.55434369e-15 2.48371338e-14 4.67868196e-03]\n  [9.93880987e-01 3.61945384e-16 4.53263297e-15 6.11904822e-03]\n  [9.93267179e-01 2.78256279e-16 6.89082775e-15 6.73289690e-03]\n  [9.93734300e-01 6.36034525e-17 2.56113371e-15 6.26569334e-03]]\n\n [[9.98542190e-01 6.51469872e-13 6.11648362e-12 1.45788421e-03]\n  [9.98271346e-01 5.97342127e-17 7.73263419e-16 1.72866124e-03]\n  [9.97138023e-01 8.68167081e-18 5.18715301e-16 2.86201434e-03]\n  [9.95121062e-01 1.56631414e-17 2.07523707e-15 4.87894705e-03]\n  [9.95252132e-01 3.66073785e-18 8.98559338e-16 4.74791648e-03]]\n\n ...\n\n [[9.01068211e-01 1.23147365e-05 4.54706569e-05 9.88739952e-02]\n  [9.10033047e-01 1.14329389e-07 8.68835741e-07 8.99659917e-02]\n  [9.26818788e-01 2.01739265e-08 2.33702409e-07 7.31810257e-02]\n  [9.31175172e-01 1.96321501e-08 2.52022318e-07 6.88245744e-02]\n  [9.32837248e-01 1.52799409e-08 2.06177148e-07 6.71625808e-02]]\n\n [[8.95118475e-01 2.37902714e-05 8.13933293e-05 1.04776300e-01]\n  [9.11072195e-01 2.84679061e-07 1.67910935e-06 8.89258757e-02]\n  [9.28269982e-01 5.64991893e-08 4.80857238e-07 7.17294663e-02]\n  [9.29673135e-01 5.16432515e-08 5.08593530e-07 7.03263506e-02]\n  [9.28460658e-01 4.40965273e-08 4.86135946e-07 7.15388209e-02]]\n\n [[8.63954723e-01 3.29228933e-04 9.06473724e-04 1.34809569e-01]\n  [9.19456422e-01 1.56261576e-05 5.20094145e-05 8.04758295e-02]\n  [9.37206328e-01 6.26127394e-06 2.43483391e-05 6.27630651e-02]\n  [9.35412347e-01 6.88604177e-06 2.79713877e-05 6.45527244e-02]\n  [9.31095898e-01 7.58810984e-06 3.20031249e-05 6.88645467e-02]]]\nPredicted mask after argmax for 2008_000919: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000919 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000919. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000919.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000919: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84453857e-01 1.21171936e-07 2.86271955e-07 1.55458106e-02]\n  [9.93306696e-01 1.20563518e-10 2.28238456e-10 6.69330452e-03]\n  [9.95457113e-01 6.05996243e-12 2.02565326e-11 4.54285881e-03]\n  [9.95836735e-01 2.01157558e-12 1.04272086e-11 4.16322006e-03]\n  [9.96525109e-01 5.08456883e-13 3.35139555e-12 3.47489025e-03]]\n\n [[9.95514929e-01 3.72084273e-11 1.99664146e-10 4.48507490e-03]\n  [9.95321333e-01 4.55434369e-15 2.48371338e-14 4.67868196e-03]\n  [9.93880987e-01 3.61945384e-16 4.53263297e-15 6.11904822e-03]\n  [9.93267179e-01 2.78256279e-16 6.89082775e-15 6.73289690e-03]\n  [9.93734300e-01 6.36034525e-17 2.56113371e-15 6.26569334e-03]]\n\n [[9.98542190e-01 6.51469872e-13 6.11648362e-12 1.45788421e-03]\n  [9.98271346e-01 5.97342127e-17 7.73263419e-16 1.72866124e-03]\n  [9.97138023e-01 8.68167081e-18 5.18715301e-16 2.86201434e-03]\n  [9.95121062e-01 1.56631414e-17 2.07523707e-15 4.87894705e-03]\n  [9.95252132e-01 3.66073785e-18 8.98559338e-16 4.74791648e-03]]\n\n ...\n\n [[9.01068211e-01 1.23147365e-05 4.54706569e-05 9.88739952e-02]\n  [9.10033047e-01 1.14329389e-07 8.68835741e-07 8.99659917e-02]\n  [9.26818788e-01 2.01739265e-08 2.33702409e-07 7.31810257e-02]\n  [9.31175172e-01 1.96321501e-08 2.52022318e-07 6.88245744e-02]\n  [9.32837248e-01 1.52799409e-08 2.06177148e-07 6.71625808e-02]]\n\n [[8.95118475e-01 2.37902714e-05 8.13933293e-05 1.04776300e-01]\n  [9.11072195e-01 2.84679061e-07 1.67910935e-06 8.89258757e-02]\n  [9.28269982e-01 5.64991893e-08 4.80857238e-07 7.17294663e-02]\n  [9.29673135e-01 5.16432515e-08 5.08593530e-07 7.03263506e-02]\n  [9.28460658e-01 4.40965273e-08 4.86135946e-07 7.15388209e-02]]\n\n [[8.63954723e-01 3.29228933e-04 9.06473724e-04 1.34809569e-01]\n  [9.19456422e-01 1.56261576e-05 5.20094145e-05 8.04758295e-02]\n  [9.37206328e-01 6.26127394e-06 2.43483391e-05 6.27630651e-02]\n  [9.35412347e-01 6.88604177e-06 2.79713877e-05 6.45527244e-02]\n  [9.31095898e-01 7.58810984e-06 3.20031249e-05 6.88645467e-02]]]\nPredicted mask after argmax for 2008_000919: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000919 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000919. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000931.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000931: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84673262e-01 1.15091453e-07 2.68076377e-07 1.53263845e-02]\n  [9.93186355e-01 1.13658104e-10 2.13251264e-10 6.81358483e-03]\n  [9.95290935e-01 5.09557414e-12 1.82828613e-11 4.70906310e-03]\n  [9.95695353e-01 1.42112678e-12 8.46301935e-12 4.30459622e-03]\n  [9.96576130e-01 2.61577381e-13 2.08779803e-12 3.42386216e-03]]\n\n [[9.95711327e-01 3.18118171e-11 1.72302714e-10 4.28868458e-03]\n  [9.95427608e-01 3.38877659e-15 1.88280364e-14 4.57234448e-03]\n  [9.94055033e-01 2.01488981e-16 2.93716742e-15 5.94489416e-03]\n  [9.93600309e-01 1.17660288e-16 3.65604789e-15 6.39964780e-03]\n  [9.94428813e-01 1.69974829e-17 9.26573788e-16 5.57113159e-03]]\n\n [[9.98619676e-01 5.36932857e-13 4.98666256e-12 1.38031063e-03]\n  [9.98362005e-01 4.18720547e-17 5.38561494e-16 1.63797708e-03]\n  [9.97355819e-01 4.59856131e-18 3.07855766e-16 2.64419685e-03]\n  [9.95502174e-01 6.94420606e-18 1.10959738e-15 4.49786382e-03]\n  [9.95799601e-01 1.11018981e-18 3.53711430e-16 4.20033466e-03]]\n\n ...\n\n [[9.69971776e-01 7.19523925e-08 3.77335937e-07 3.00277118e-02]\n  [9.75742698e-01 3.12016246e-11 2.74744949e-10 2.42573339e-02]\n  [9.81487870e-01 7.43919954e-13 1.66369592e-11 1.85120888e-02]\n  [9.78871167e-01 2.20993999e-13 8.23613313e-12 2.11287905e-02]\n  [9.82682705e-01 3.47902046e-14 1.89042336e-12 1.73172895e-02]]\n\n [[9.57928658e-01 3.30865305e-07 1.85428155e-06 4.20691445e-02]\n  [9.68538046e-01 2.66690142e-10 2.74651013e-09 3.14619616e-02]\n  [9.77726638e-01 6.36784679e-12 1.56877011e-10 2.22733729e-02]\n  [9.75933254e-01 1.70191270e-12 6.90620616e-11 2.40667500e-02]\n  [9.80655789e-01 2.58265685e-13 1.66119844e-11 1.93442181e-02]]\n\n [[9.22115266e-01 2.72176185e-05 1.11954854e-04 7.77455121e-02]\n  [9.59925115e-01 3.04777501e-07 1.87458534e-06 4.00727056e-02]\n  [9.73739505e-01 4.20711324e-08 3.62813694e-07 2.62602083e-02]\n  [9.74703729e-01 2.31411370e-08 2.52680366e-07 2.52960473e-02]\n  [9.78225112e-01 8.43158787e-09 1.18955995e-07 2.17748322e-02]]]\nPredicted mask after argmax for 2008_000931: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000931 has shape: (336, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000931. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000931.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000931: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84673262e-01 1.15091453e-07 2.68076377e-07 1.53263845e-02]\n  [9.93186355e-01 1.13658104e-10 2.13251264e-10 6.81358483e-03]\n  [9.95290935e-01 5.09557414e-12 1.82828613e-11 4.70906310e-03]\n  [9.95695353e-01 1.42112678e-12 8.46301935e-12 4.30459622e-03]\n  [9.96576130e-01 2.61577381e-13 2.08779803e-12 3.42386216e-03]]\n\n [[9.95711327e-01 3.18118171e-11 1.72302714e-10 4.28868458e-03]\n  [9.95427608e-01 3.38877659e-15 1.88280364e-14 4.57234448e-03]\n  [9.94055033e-01 2.01488981e-16 2.93716742e-15 5.94489416e-03]\n  [9.93600309e-01 1.17660288e-16 3.65604789e-15 6.39964780e-03]\n  [9.94428813e-01 1.69974829e-17 9.26573788e-16 5.57113159e-03]]\n\n [[9.98619676e-01 5.36932857e-13 4.98666256e-12 1.38031063e-03]\n  [9.98362005e-01 4.18720547e-17 5.38561494e-16 1.63797708e-03]\n  [9.97355819e-01 4.59856131e-18 3.07855766e-16 2.64419685e-03]\n  [9.95502174e-01 6.94420606e-18 1.10959738e-15 4.49786382e-03]\n  [9.95799601e-01 1.11018981e-18 3.53711430e-16 4.20033466e-03]]\n\n ...\n\n [[9.69971776e-01 7.19523925e-08 3.77335937e-07 3.00277118e-02]\n  [9.75742698e-01 3.12016246e-11 2.74744949e-10 2.42573339e-02]\n  [9.81487870e-01 7.43919954e-13 1.66369592e-11 1.85120888e-02]\n  [9.78871167e-01 2.20993999e-13 8.23613313e-12 2.11287905e-02]\n  [9.82682705e-01 3.47902046e-14 1.89042336e-12 1.73172895e-02]]\n\n [[9.57928658e-01 3.30865305e-07 1.85428155e-06 4.20691445e-02]\n  [9.68538046e-01 2.66690142e-10 2.74651013e-09 3.14619616e-02]\n  [9.77726638e-01 6.36784679e-12 1.56877011e-10 2.22733729e-02]\n  [9.75933254e-01 1.70191270e-12 6.90620616e-11 2.40667500e-02]\n  [9.80655789e-01 2.58265685e-13 1.66119844e-11 1.93442181e-02]]\n\n [[9.22115266e-01 2.72176185e-05 1.11954854e-04 7.77455121e-02]\n  [9.59925115e-01 3.04777501e-07 1.87458534e-06 4.00727056e-02]\n  [9.73739505e-01 4.20711324e-08 3.62813694e-07 2.62602083e-02]\n  [9.74703729e-01 2.31411370e-08 2.52680366e-07 2.52960473e-02]\n  [9.78225112e-01 8.43158787e-09 1.18955995e-07 2.17748322e-02]]]\nPredicted mask after argmax for 2008_000931: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000931 has shape: (336, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000931. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000931.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_000931: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84673262e-01 1.15091453e-07 2.68076377e-07 1.53263845e-02]\n  [9.93186355e-01 1.13658104e-10 2.13251264e-10 6.81358483e-03]\n  [9.95290935e-01 5.09557414e-12 1.82828613e-11 4.70906310e-03]\n  [9.95695353e-01 1.42112678e-12 8.46301935e-12 4.30459622e-03]\n  [9.96576130e-01 2.61577381e-13 2.08779803e-12 3.42386216e-03]]\n\n [[9.95711327e-01 3.18118171e-11 1.72302714e-10 4.28868458e-03]\n  [9.95427608e-01 3.38877659e-15 1.88280364e-14 4.57234448e-03]\n  [9.94055033e-01 2.01488981e-16 2.93716742e-15 5.94489416e-03]\n  [9.93600309e-01 1.17660288e-16 3.65604789e-15 6.39964780e-03]\n  [9.94428813e-01 1.69974829e-17 9.26573788e-16 5.57113159e-03]]\n\n [[9.98619676e-01 5.36932857e-13 4.98666256e-12 1.38031063e-03]\n  [9.98362005e-01 4.18720547e-17 5.38561494e-16 1.63797708e-03]\n  [9.97355819e-01 4.59856131e-18 3.07855766e-16 2.64419685e-03]\n  [9.95502174e-01 6.94420606e-18 1.10959738e-15 4.49786382e-03]\n  [9.95799601e-01 1.11018981e-18 3.53711430e-16 4.20033466e-03]]\n\n ...\n\n [[9.69971776e-01 7.19523925e-08 3.77335937e-07 3.00277118e-02]\n  [9.75742698e-01 3.12016246e-11 2.74744949e-10 2.42573339e-02]\n  [9.81487870e-01 7.43919954e-13 1.66369592e-11 1.85120888e-02]\n  [9.78871167e-01 2.20993999e-13 8.23613313e-12 2.11287905e-02]\n  [9.82682705e-01 3.47902046e-14 1.89042336e-12 1.73172895e-02]]\n\n [[9.57928658e-01 3.30865305e-07 1.85428155e-06 4.20691445e-02]\n  [9.68538046e-01 2.66690142e-10 2.74651013e-09 3.14619616e-02]\n  [9.77726638e-01 6.36784679e-12 1.56877011e-10 2.22733729e-02]\n  [9.75933254e-01 1.70191270e-12 6.90620616e-11 2.40667500e-02]\n  [9.80655789e-01 2.58265685e-13 1.66119844e-11 1.93442181e-02]]\n\n [[9.22115266e-01 2.72176185e-05 1.11954854e-04 7.77455121e-02]\n  [9.59925115e-01 3.04777501e-07 1.87458534e-06 4.00727056e-02]\n  [9.73739505e-01 4.20711324e-08 3.62813694e-07 2.62602083e-02]\n  [9.74703729e-01 2.31411370e-08 2.52680366e-07 2.52960473e-02]\n  [9.78225112e-01 8.43158787e-09 1.18955995e-07 2.17748322e-02]]]\nPredicted mask after argmax for 2008_000931: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000931 has shape: (336, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000931. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000931.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000931: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84673262e-01 1.15091453e-07 2.68076377e-07 1.53263845e-02]\n  [9.93186355e-01 1.13658104e-10 2.13251264e-10 6.81358483e-03]\n  [9.95290935e-01 5.09557414e-12 1.82828613e-11 4.70906310e-03]\n  [9.95695353e-01 1.42112678e-12 8.46301935e-12 4.30459622e-03]\n  [9.96576130e-01 2.61577381e-13 2.08779803e-12 3.42386216e-03]]\n\n [[9.95711327e-01 3.18118171e-11 1.72302714e-10 4.28868458e-03]\n  [9.95427608e-01 3.38877659e-15 1.88280364e-14 4.57234448e-03]\n  [9.94055033e-01 2.01488981e-16 2.93716742e-15 5.94489416e-03]\n  [9.93600309e-01 1.17660288e-16 3.65604789e-15 6.39964780e-03]\n  [9.94428813e-01 1.69974829e-17 9.26573788e-16 5.57113159e-03]]\n\n [[9.98619676e-01 5.36932857e-13 4.98666256e-12 1.38031063e-03]\n  [9.98362005e-01 4.18720547e-17 5.38561494e-16 1.63797708e-03]\n  [9.97355819e-01 4.59856131e-18 3.07855766e-16 2.64419685e-03]\n  [9.95502174e-01 6.94420606e-18 1.10959738e-15 4.49786382e-03]\n  [9.95799601e-01 1.11018981e-18 3.53711430e-16 4.20033466e-03]]\n\n ...\n\n [[9.69971776e-01 7.19523925e-08 3.77335937e-07 3.00277118e-02]\n  [9.75742698e-01 3.12016246e-11 2.74744949e-10 2.42573339e-02]\n  [9.81487870e-01 7.43919954e-13 1.66369592e-11 1.85120888e-02]\n  [9.78871167e-01 2.20993999e-13 8.23613313e-12 2.11287905e-02]\n  [9.82682705e-01 3.47902046e-14 1.89042336e-12 1.73172895e-02]]\n\n [[9.57928658e-01 3.30865305e-07 1.85428155e-06 4.20691445e-02]\n  [9.68538046e-01 2.66690142e-10 2.74651013e-09 3.14619616e-02]\n  [9.77726638e-01 6.36784679e-12 1.56877011e-10 2.22733729e-02]\n  [9.75933254e-01 1.70191270e-12 6.90620616e-11 2.40667500e-02]\n  [9.80655789e-01 2.58265685e-13 1.66119844e-11 1.93442181e-02]]\n\n [[9.22115266e-01 2.72176185e-05 1.11954854e-04 7.77455121e-02]\n  [9.59925115e-01 3.04777501e-07 1.87458534e-06 4.00727056e-02]\n  [9.73739505e-01 4.20711324e-08 3.62813694e-07 2.62602083e-02]\n  [9.74703729e-01 2.31411370e-08 2.52680366e-07 2.52960473e-02]\n  [9.78225112e-01 8.43158787e-09 1.18955995e-07 2.17748322e-02]]]\nPredicted mask after argmax for 2008_000931: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000931 has shape: (336, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000931. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000934.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000934: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69343781e-01 1.19493905e-06 2.56692192e-06 3.06524839e-02]\n  [9.84225392e-01 2.53338484e-09 5.83247539e-09 1.57745928e-02]\n  [9.88420725e-01 2.35764741e-10 9.12893205e-10 1.15792509e-02]\n  [9.88332450e-01 1.86577545e-10 9.34110900e-10 1.16675738e-02]\n  [9.88264918e-01 1.28484445e-10 7.54584284e-10 1.17350342e-02]]\n\n [[9.88967001e-01 1.12228404e-09 5.24397459e-09 1.10329604e-02]\n  [9.89183903e-01 4.10859064e-13 2.36771518e-12 1.08161112e-02]\n  [9.88216937e-01 4.25416538e-14 5.40162153e-13 1.17830839e-02]\n  [9.86558557e-01 6.29056472e-14 1.24447685e-12 1.34414006e-02]\n  [9.85827804e-01 4.48679349e-14 1.22758195e-12 1.41721796e-02]]\n\n [[9.95151162e-01 5.76117765e-11 4.51858828e-10 4.84877685e-03]\n  [9.94558752e-01 1.49172378e-14 1.87219828e-13 5.44116553e-03]\n  [9.92634833e-01 2.34721618e-15 9.75840163e-14 7.36521184e-03]\n  [9.89583731e-01 5.31804046e-15 3.82490372e-13 1.04163475e-02]\n  [9.89234447e-01 3.23752997e-15 3.26035016e-13 1.07655479e-02]]\n\n ...\n\n [[9.24706459e-01 3.00343777e-06 1.26894729e-05 7.52778202e-02]\n  [9.43691313e-01 9.25134902e-09 8.47019166e-08 5.63085601e-02]\n  [9.53748047e-01 1.19167387e-09 1.87551450e-08 4.62519191e-02]\n  [9.57801998e-01 9.38339184e-10 1.68263039e-08 4.21980433e-02]\n  [9.58325028e-01 9.19388732e-10 1.68080287e-08 4.16749492e-02]]\n\n [[9.11770046e-01 8.74688703e-06 3.44987347e-05 8.81868526e-02]\n  [9.33820248e-01 4.69196308e-08 3.34465966e-07 6.61794469e-02]\n  [9.47715044e-01 8.15575341e-09 8.90457486e-08 5.22848628e-02]\n  [9.48671937e-01 6.28133767e-09 7.96218274e-08 5.13279699e-02]\n  [9.48845565e-01 5.83421578e-09 8.15054904e-08 5.11543117e-02]]\n\n [[8.71740937e-01 2.30337100e-04 6.77992764e-04 1.27350822e-01]\n  [9.23607886e-01 8.34735965e-06 3.03242050e-05 7.63534158e-02]\n  [9.41644490e-01 3.14187514e-06 1.36506906e-05 5.83386868e-02]\n  [9.39645350e-01 3.12041857e-06 1.43602374e-05 6.03371263e-02]\n  [9.36797976e-01 3.26571012e-06 1.56916649e-05 6.31830469e-02]]]\nPredicted mask after argmax for 2008_000934: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000934 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000934. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000934.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000934: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69343781e-01 1.19493905e-06 2.56692192e-06 3.06524839e-02]\n  [9.84225392e-01 2.53338484e-09 5.83247539e-09 1.57745928e-02]\n  [9.88420725e-01 2.35764741e-10 9.12893205e-10 1.15792509e-02]\n  [9.88332450e-01 1.86577545e-10 9.34110900e-10 1.16675738e-02]\n  [9.88264918e-01 1.28484445e-10 7.54584284e-10 1.17350342e-02]]\n\n [[9.88967001e-01 1.12228404e-09 5.24397459e-09 1.10329604e-02]\n  [9.89183903e-01 4.10859064e-13 2.36771518e-12 1.08161112e-02]\n  [9.88216937e-01 4.25416538e-14 5.40162153e-13 1.17830839e-02]\n  [9.86558557e-01 6.29056472e-14 1.24447685e-12 1.34414006e-02]\n  [9.85827804e-01 4.48679349e-14 1.22758195e-12 1.41721796e-02]]\n\n [[9.95151162e-01 5.76117765e-11 4.51858828e-10 4.84877685e-03]\n  [9.94558752e-01 1.49172378e-14 1.87219828e-13 5.44116553e-03]\n  [9.92634833e-01 2.34721618e-15 9.75840163e-14 7.36521184e-03]\n  [9.89583731e-01 5.31804046e-15 3.82490372e-13 1.04163475e-02]\n  [9.89234447e-01 3.23752997e-15 3.26035016e-13 1.07655479e-02]]\n\n ...\n\n [[9.24706459e-01 3.00343777e-06 1.26894729e-05 7.52778202e-02]\n  [9.43691313e-01 9.25134902e-09 8.47019166e-08 5.63085601e-02]\n  [9.53748047e-01 1.19167387e-09 1.87551450e-08 4.62519191e-02]\n  [9.57801998e-01 9.38339184e-10 1.68263039e-08 4.21980433e-02]\n  [9.58325028e-01 9.19388732e-10 1.68080287e-08 4.16749492e-02]]\n\n [[9.11770046e-01 8.74688703e-06 3.44987347e-05 8.81868526e-02]\n  [9.33820248e-01 4.69196308e-08 3.34465966e-07 6.61794469e-02]\n  [9.47715044e-01 8.15575341e-09 8.90457486e-08 5.22848628e-02]\n  [9.48671937e-01 6.28133767e-09 7.96218274e-08 5.13279699e-02]\n  [9.48845565e-01 5.83421578e-09 8.15054904e-08 5.11543117e-02]]\n\n [[8.71740937e-01 2.30337100e-04 6.77992764e-04 1.27350822e-01]\n  [9.23607886e-01 8.34735965e-06 3.03242050e-05 7.63534158e-02]\n  [9.41644490e-01 3.14187514e-06 1.36506906e-05 5.83386868e-02]\n  [9.39645350e-01 3.12041857e-06 1.43602374e-05 6.03371263e-02]\n  [9.36797976e-01 3.26571012e-06 1.56916649e-05 6.31830469e-02]]]\nPredicted mask after argmax for 2008_000934: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000934 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000934. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000943.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000943: (1, 256, 256, 4)\nSome predicted mask values: [[[9.37124550e-01 3.17951453e-05 5.53144455e-05 6.27882779e-02]\n  [9.58220482e-01 4.40623950e-07 7.37437631e-07 4.17783335e-02]\n  [9.64661002e-01 9.17471326e-08 2.38765949e-07 3.53386365e-02]\n  [9.63533223e-01 7.78815163e-08 2.60735760e-07 3.64664756e-02]\n  [9.63380992e-01 5.29322044e-08 2.05404561e-07 3.66188511e-02]]\n\n [[9.73205686e-01 1.35048239e-07 4.23026933e-07 2.67937072e-02]\n  [9.71230567e-01 4.80524120e-10 1.61776659e-09 2.87694596e-02]\n  [9.66872513e-01 1.19681542e-10 7.65849717e-10 3.31275612e-02]\n  [9.62375998e-01 1.71847439e-10 1.64192115e-09 3.76239829e-02]\n  [9.61465418e-01 1.11940554e-10 1.44054613e-09 3.85345556e-02]]\n\n [[9.86509025e-01 1.01269038e-08 4.62546659e-08 1.34909116e-02]\n  [9.84035373e-01 2.64639612e-11 1.55887053e-10 1.59646645e-02]\n  [9.78464246e-01 8.99323931e-12 1.43852041e-10 2.15357915e-02]\n  [9.69690084e-01 1.82578327e-11 4.60113586e-10 3.03099100e-02]\n  [9.69768286e-01 1.01095321e-11 3.50378782e-10 3.02317422e-02]]\n\n ...\n\n [[9.50766385e-01 2.02746173e-06 7.36051879e-06 4.92242053e-02]\n  [9.35683012e-01 3.09277972e-08 1.58596890e-07 6.43168315e-02]\n  [9.38413322e-01 9.71705472e-09 1.02705258e-07 6.15865327e-02]\n  [9.36937332e-01 1.10010978e-08 1.44775953e-07 6.30624965e-02]\n  [9.38625932e-01 8.46655634e-09 1.24143014e-07 6.13739640e-02]]\n\n [[9.34408665e-01 7.72548174e-06 2.49143632e-05 6.55587316e-02]\n  [9.27002728e-01 1.60066676e-07 6.68634186e-07 7.29964674e-02]\n  [9.35460448e-01 6.06456041e-08 4.59810110e-07 6.45389333e-02]\n  [9.31909680e-01 7.19118063e-08 6.60493924e-07 6.80895448e-02]\n  [9.25531387e-01 6.43498197e-08 6.89762373e-07 7.44678378e-02]]\n\n [[8.95828426e-01 1.85267476e-04 4.91951534e-04 1.03494316e-01]\n  [9.30316567e-01 1.18343823e-05 3.74074116e-05 6.96341991e-02]\n  [9.35566485e-01 9.21651827e-06 3.19492865e-05 6.43924177e-02]\n  [9.31860566e-01 1.24152230e-05 4.73701693e-05 6.80796877e-02]\n  [9.21886742e-01 1.33041458e-05 5.44673021e-05 7.80454800e-02]]]\nPredicted mask after argmax for 2008_000943: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000943 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000943. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000943.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000943: (1, 256, 256, 4)\nSome predicted mask values: [[[9.37124550e-01 3.17951453e-05 5.53144455e-05 6.27882779e-02]\n  [9.58220482e-01 4.40623950e-07 7.37437631e-07 4.17783335e-02]\n  [9.64661002e-01 9.17471326e-08 2.38765949e-07 3.53386365e-02]\n  [9.63533223e-01 7.78815163e-08 2.60735760e-07 3.64664756e-02]\n  [9.63380992e-01 5.29322044e-08 2.05404561e-07 3.66188511e-02]]\n\n [[9.73205686e-01 1.35048239e-07 4.23026933e-07 2.67937072e-02]\n  [9.71230567e-01 4.80524120e-10 1.61776659e-09 2.87694596e-02]\n  [9.66872513e-01 1.19681542e-10 7.65849717e-10 3.31275612e-02]\n  [9.62375998e-01 1.71847439e-10 1.64192115e-09 3.76239829e-02]\n  [9.61465418e-01 1.11940554e-10 1.44054613e-09 3.85345556e-02]]\n\n [[9.86509025e-01 1.01269038e-08 4.62546659e-08 1.34909116e-02]\n  [9.84035373e-01 2.64639612e-11 1.55887053e-10 1.59646645e-02]\n  [9.78464246e-01 8.99323931e-12 1.43852041e-10 2.15357915e-02]\n  [9.69690084e-01 1.82578327e-11 4.60113586e-10 3.03099100e-02]\n  [9.69768286e-01 1.01095321e-11 3.50378782e-10 3.02317422e-02]]\n\n ...\n\n [[9.50766385e-01 2.02746173e-06 7.36051879e-06 4.92242053e-02]\n  [9.35683012e-01 3.09277972e-08 1.58596890e-07 6.43168315e-02]\n  [9.38413322e-01 9.71705472e-09 1.02705258e-07 6.15865327e-02]\n  [9.36937332e-01 1.10010978e-08 1.44775953e-07 6.30624965e-02]\n  [9.38625932e-01 8.46655634e-09 1.24143014e-07 6.13739640e-02]]\n\n [[9.34408665e-01 7.72548174e-06 2.49143632e-05 6.55587316e-02]\n  [9.27002728e-01 1.60066676e-07 6.68634186e-07 7.29964674e-02]\n  [9.35460448e-01 6.06456041e-08 4.59810110e-07 6.45389333e-02]\n  [9.31909680e-01 7.19118063e-08 6.60493924e-07 6.80895448e-02]\n  [9.25531387e-01 6.43498197e-08 6.89762373e-07 7.44678378e-02]]\n\n [[8.95828426e-01 1.85267476e-04 4.91951534e-04 1.03494316e-01]\n  [9.30316567e-01 1.18343823e-05 3.74074116e-05 6.96341991e-02]\n  [9.35566485e-01 9.21651827e-06 3.19492865e-05 6.43924177e-02]\n  [9.31860566e-01 1.24152230e-05 4.73701693e-05 6.80796877e-02]\n  [9.21886742e-01 1.33041458e-05 5.44673021e-05 7.80454800e-02]]]\nPredicted mask after argmax for 2008_000943: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000943 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000943. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000943.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000943: (1, 256, 256, 4)\nSome predicted mask values: [[[9.37124550e-01 3.17951453e-05 5.53144455e-05 6.27882779e-02]\n  [9.58220482e-01 4.40623950e-07 7.37437631e-07 4.17783335e-02]\n  [9.64661002e-01 9.17471326e-08 2.38765949e-07 3.53386365e-02]\n  [9.63533223e-01 7.78815163e-08 2.60735760e-07 3.64664756e-02]\n  [9.63380992e-01 5.29322044e-08 2.05404561e-07 3.66188511e-02]]\n\n [[9.73205686e-01 1.35048239e-07 4.23026933e-07 2.67937072e-02]\n  [9.71230567e-01 4.80524120e-10 1.61776659e-09 2.87694596e-02]\n  [9.66872513e-01 1.19681542e-10 7.65849717e-10 3.31275612e-02]\n  [9.62375998e-01 1.71847439e-10 1.64192115e-09 3.76239829e-02]\n  [9.61465418e-01 1.11940554e-10 1.44054613e-09 3.85345556e-02]]\n\n [[9.86509025e-01 1.01269038e-08 4.62546659e-08 1.34909116e-02]\n  [9.84035373e-01 2.64639612e-11 1.55887053e-10 1.59646645e-02]\n  [9.78464246e-01 8.99323931e-12 1.43852041e-10 2.15357915e-02]\n  [9.69690084e-01 1.82578327e-11 4.60113586e-10 3.03099100e-02]\n  [9.69768286e-01 1.01095321e-11 3.50378782e-10 3.02317422e-02]]\n\n ...\n\n [[9.50766385e-01 2.02746173e-06 7.36051879e-06 4.92242053e-02]\n  [9.35683012e-01 3.09277972e-08 1.58596890e-07 6.43168315e-02]\n  [9.38413322e-01 9.71705472e-09 1.02705258e-07 6.15865327e-02]\n  [9.36937332e-01 1.10010978e-08 1.44775953e-07 6.30624965e-02]\n  [9.38625932e-01 8.46655634e-09 1.24143014e-07 6.13739640e-02]]\n\n [[9.34408665e-01 7.72548174e-06 2.49143632e-05 6.55587316e-02]\n  [9.27002728e-01 1.60066676e-07 6.68634186e-07 7.29964674e-02]\n  [9.35460448e-01 6.06456041e-08 4.59810110e-07 6.45389333e-02]\n  [9.31909680e-01 7.19118063e-08 6.60493924e-07 6.80895448e-02]\n  [9.25531387e-01 6.43498197e-08 6.89762373e-07 7.44678378e-02]]\n\n [[8.95828426e-01 1.85267476e-04 4.91951534e-04 1.03494316e-01]\n  [9.30316567e-01 1.18343823e-05 3.74074116e-05 6.96341991e-02]\n  [9.35566485e-01 9.21651827e-06 3.19492865e-05 6.43924177e-02]\n  [9.31860566e-01 1.24152230e-05 4.73701693e-05 6.80796877e-02]\n  [9.21886742e-01 1.33041458e-05 5.44673021e-05 7.80454800e-02]]]\nPredicted mask after argmax for 2008_000943: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000943 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000943. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000950.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000950: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5251530e-01 1.0088317e-05 1.9068462e-05 4.7455497e-02]\n  [9.7202849e-01 7.6067430e-08 1.3203727e-07 2.7971286e-02]\n  [9.7838092e-01 1.0336125e-08 2.7490440e-08 2.1619039e-02]\n  [9.7908360e-01 6.5141448e-09 2.2305128e-08 2.0916412e-02]\n  [9.8068160e-01 3.0942022e-09 1.2151075e-08 1.9318435e-02]]\n\n [[9.8021448e-01 2.8598439e-08 1.0205090e-07 1.9785363e-02]\n  [9.7904962e-01 5.0574080e-11 1.9264207e-10 2.0950397e-02]\n  [9.7537738e-01 9.3483216e-12 6.6275270e-11 2.4622673e-02]\n  [9.7290987e-01 1.1361612e-11 1.2077921e-10 2.7090119e-02]\n  [9.7314483e-01 5.1836061e-12 7.4153267e-11 2.6855094e-02]]\n\n [[9.9067020e-01 1.7812216e-09 9.7408037e-09 9.3297716e-03]\n  [9.8881859e-01 2.4695938e-12 1.8012409e-11 1.1181425e-02]\n  [9.8427689e-01 7.0709503e-13 1.4804042e-11 1.5723120e-02]\n  [9.7757339e-01 1.4336556e-12 4.9206823e-11 2.2426639e-02]\n  [9.7676158e-01 6.8572762e-13 3.3414695e-11 2.3238480e-02]]\n\n ...\n\n [[9.0535116e-01 1.9320518e-05 6.4749373e-05 9.4564743e-02]\n  [9.1106921e-01 2.9869824e-07 1.6373131e-06 8.8928811e-02]\n  [9.1599339e-01 1.1669572e-07 9.6446456e-07 8.4005468e-02]\n  [9.1282350e-01 2.1615944e-07 1.8945079e-06 8.7174401e-02]\n  [9.0262824e-01 5.0117654e-07 3.9814959e-06 9.7367264e-02]]\n\n [[8.8683701e-01 5.5440232e-05 1.7244820e-04 1.1293522e-01]\n  [8.9848232e-01 1.2160788e-06 5.6891249e-06 1.0151083e-01]\n  [9.1103542e-01 5.0708246e-07 3.3312435e-06 8.8960752e-02]\n  [9.0445065e-01 8.1588200e-07 5.5549699e-06 9.5542923e-02]\n  [8.9221168e-01 1.5673605e-06 1.0485662e-05 1.0777620e-01]]\n\n [[8.4119302e-01 8.2639011e-04 2.0366483e-03 1.5594396e-01]\n  [8.8899648e-01 7.3490948e-05 2.1285682e-04 1.1071714e-01]\n  [9.0211803e-01 5.0312956e-05 1.6527831e-04 9.7666293e-02]\n  [8.9261276e-01 7.4682001e-05 2.4492541e-04 1.0706757e-01]\n  [8.7719464e-01 1.1749696e-04 3.7176316e-04 1.2231607e-01]]]\nPredicted mask after argmax for 2008_000950: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000950 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000950. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000950.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000950: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5251530e-01 1.0088317e-05 1.9068462e-05 4.7455497e-02]\n  [9.7202849e-01 7.6067430e-08 1.3203727e-07 2.7971286e-02]\n  [9.7838092e-01 1.0336125e-08 2.7490440e-08 2.1619039e-02]\n  [9.7908360e-01 6.5141448e-09 2.2305128e-08 2.0916412e-02]\n  [9.8068160e-01 3.0942022e-09 1.2151075e-08 1.9318435e-02]]\n\n [[9.8021448e-01 2.8598439e-08 1.0205090e-07 1.9785363e-02]\n  [9.7904962e-01 5.0574080e-11 1.9264207e-10 2.0950397e-02]\n  [9.7537738e-01 9.3483216e-12 6.6275270e-11 2.4622673e-02]\n  [9.7290987e-01 1.1361612e-11 1.2077921e-10 2.7090119e-02]\n  [9.7314483e-01 5.1836061e-12 7.4153267e-11 2.6855094e-02]]\n\n [[9.9067020e-01 1.7812216e-09 9.7408037e-09 9.3297716e-03]\n  [9.8881859e-01 2.4695938e-12 1.8012409e-11 1.1181425e-02]\n  [9.8427689e-01 7.0709503e-13 1.4804042e-11 1.5723120e-02]\n  [9.7757339e-01 1.4336556e-12 4.9206823e-11 2.2426639e-02]\n  [9.7676158e-01 6.8572762e-13 3.3414695e-11 2.3238480e-02]]\n\n ...\n\n [[9.0535116e-01 1.9320518e-05 6.4749373e-05 9.4564743e-02]\n  [9.1106921e-01 2.9869824e-07 1.6373131e-06 8.8928811e-02]\n  [9.1599339e-01 1.1669572e-07 9.6446456e-07 8.4005468e-02]\n  [9.1282350e-01 2.1615944e-07 1.8945079e-06 8.7174401e-02]\n  [9.0262824e-01 5.0117654e-07 3.9814959e-06 9.7367264e-02]]\n\n [[8.8683701e-01 5.5440232e-05 1.7244820e-04 1.1293522e-01]\n  [8.9848232e-01 1.2160788e-06 5.6891249e-06 1.0151083e-01]\n  [9.1103542e-01 5.0708246e-07 3.3312435e-06 8.8960752e-02]\n  [9.0445065e-01 8.1588200e-07 5.5549699e-06 9.5542923e-02]\n  [8.9221168e-01 1.5673605e-06 1.0485662e-05 1.0777620e-01]]\n\n [[8.4119302e-01 8.2639011e-04 2.0366483e-03 1.5594396e-01]\n  [8.8899648e-01 7.3490948e-05 2.1285682e-04 1.1071714e-01]\n  [9.0211803e-01 5.0312956e-05 1.6527831e-04 9.7666293e-02]\n  [8.9261276e-01 7.4682001e-05 2.4492541e-04 1.0706757e-01]\n  [8.7719464e-01 1.1749696e-04 3.7176316e-04 1.2231607e-01]]]\nPredicted mask after argmax for 2008_000950: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000950 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000950. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000950.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000950: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5251530e-01 1.0088317e-05 1.9068462e-05 4.7455497e-02]\n  [9.7202849e-01 7.6067430e-08 1.3203727e-07 2.7971286e-02]\n  [9.7838092e-01 1.0336125e-08 2.7490440e-08 2.1619039e-02]\n  [9.7908360e-01 6.5141448e-09 2.2305128e-08 2.0916412e-02]\n  [9.8068160e-01 3.0942022e-09 1.2151075e-08 1.9318435e-02]]\n\n [[9.8021448e-01 2.8598439e-08 1.0205090e-07 1.9785363e-02]\n  [9.7904962e-01 5.0574080e-11 1.9264207e-10 2.0950397e-02]\n  [9.7537738e-01 9.3483216e-12 6.6275270e-11 2.4622673e-02]\n  [9.7290987e-01 1.1361612e-11 1.2077921e-10 2.7090119e-02]\n  [9.7314483e-01 5.1836061e-12 7.4153267e-11 2.6855094e-02]]\n\n [[9.9067020e-01 1.7812216e-09 9.7408037e-09 9.3297716e-03]\n  [9.8881859e-01 2.4695938e-12 1.8012409e-11 1.1181425e-02]\n  [9.8427689e-01 7.0709503e-13 1.4804042e-11 1.5723120e-02]\n  [9.7757339e-01 1.4336556e-12 4.9206823e-11 2.2426639e-02]\n  [9.7676158e-01 6.8572762e-13 3.3414695e-11 2.3238480e-02]]\n\n ...\n\n [[9.0535116e-01 1.9320518e-05 6.4749373e-05 9.4564743e-02]\n  [9.1106921e-01 2.9869824e-07 1.6373131e-06 8.8928811e-02]\n  [9.1599339e-01 1.1669572e-07 9.6446456e-07 8.4005468e-02]\n  [9.1282350e-01 2.1615944e-07 1.8945079e-06 8.7174401e-02]\n  [9.0262824e-01 5.0117654e-07 3.9814959e-06 9.7367264e-02]]\n\n [[8.8683701e-01 5.5440232e-05 1.7244820e-04 1.1293522e-01]\n  [8.9848232e-01 1.2160788e-06 5.6891249e-06 1.0151083e-01]\n  [9.1103542e-01 5.0708246e-07 3.3312435e-06 8.8960752e-02]\n  [9.0445065e-01 8.1588200e-07 5.5549699e-06 9.5542923e-02]\n  [8.9221168e-01 1.5673605e-06 1.0485662e-05 1.0777620e-01]]\n\n [[8.4119302e-01 8.2639011e-04 2.0366483e-03 1.5594396e-01]\n  [8.8899648e-01 7.3490948e-05 2.1285682e-04 1.1071714e-01]\n  [9.0211803e-01 5.0312956e-05 1.6527831e-04 9.7666293e-02]\n  [8.9261276e-01 7.4682001e-05 2.4492541e-04 1.0706757e-01]\n  [8.7719464e-01 1.1749696e-04 3.7176316e-04 1.2231607e-01]]]\nPredicted mask after argmax for 2008_000950: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000950 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000950. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000956.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000956: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84226763e-01 5.74915262e-08 1.53664089e-07 1.57731045e-02]\n  [9.94718075e-01 9.32272228e-12 3.01897847e-11 5.28194290e-03]\n  [9.97681141e-01 6.43293741e-14 4.21726483e-13 2.31882185e-03]\n  [9.98505652e-01 6.61267568e-15 6.36119507e-14 1.49437343e-03]\n  [9.98940408e-01 9.96926650e-16 1.15876521e-14 1.05965324e-03]]\n\n [[9.95202661e-01 1.10302297e-11 8.26279323e-11 4.79731569e-03]\n  [9.96796191e-01 1.10863451e-16 1.27299248e-15 3.20385839e-03]\n  [9.97778475e-01 3.81084280e-19 1.27163303e-17 2.22152378e-03]\n  [9.98122156e-01 5.76261190e-20 3.56818171e-18 1.87783816e-03]\n  [9.98321474e-01 9.28666707e-21 8.42769555e-19 1.67848694e-03]]\n\n [[9.98320758e-01 2.67512520e-13 3.93716093e-12 1.67920126e-03]\n  [9.98703003e-01 1.38174431e-18 4.62165197e-17 1.29695015e-03]\n  [9.98727620e-01 8.44370056e-21 1.47382151e-18 1.27238582e-03]\n  [9.98748422e-01 2.04763573e-21 8.52860331e-19 1.25159021e-03]\n  [9.98799324e-01 4.65197965e-22 3.06312710e-19 1.20063149e-03]]\n\n ...\n\n [[9.27918136e-01 9.00625037e-06 2.97747738e-05 7.20431432e-02]\n  [9.16316748e-01 2.01343525e-07 1.00480224e-06 8.36820379e-02]\n  [9.17233527e-01 9.05792419e-08 7.36457082e-07 8.27655494e-02]\n  [9.14332986e-01 1.43489117e-07 1.33289268e-06 8.56655985e-02]\n  [9.11944807e-01 1.76571177e-07 1.63518962e-06 8.80533531e-02]]\n\n [[9.12505686e-01 2.49853711e-05 7.56013324e-05 8.73937234e-02]\n  [9.09405589e-01 7.11499297e-07 2.94030110e-06 9.05907154e-02]\n  [9.16417003e-01 3.55200399e-07 2.23239067e-06 8.35805461e-02]\n  [9.09363747e-01 5.50689663e-07 3.81310997e-06 9.06318352e-02]\n  [9.01576281e-01 6.70543557e-07 5.01821614e-06 9.84180421e-02]]\n\n [[8.71335030e-01 4.09301399e-04 1.01542263e-03 1.27240285e-01]\n  [9.10529494e-01 3.54344666e-05 1.01463622e-04 8.93336385e-02]\n  [9.17116821e-01 2.94407309e-05 9.16234567e-05 8.27622041e-02]\n  [9.09038603e-01 4.48392930e-05 1.45110389e-04 9.07714069e-02]\n  [8.97225201e-01 5.63755348e-05 1.86428661e-04 1.02532044e-01]]]\nPredicted mask after argmax for 2008_000956: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000956 has shape: (441, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000956. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000956.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_000956: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84226763e-01 5.74915262e-08 1.53664089e-07 1.57731045e-02]\n  [9.94718075e-01 9.32272228e-12 3.01897847e-11 5.28194290e-03]\n  [9.97681141e-01 6.43293741e-14 4.21726483e-13 2.31882185e-03]\n  [9.98505652e-01 6.61267568e-15 6.36119507e-14 1.49437343e-03]\n  [9.98940408e-01 9.96926650e-16 1.15876521e-14 1.05965324e-03]]\n\n [[9.95202661e-01 1.10302297e-11 8.26279323e-11 4.79731569e-03]\n  [9.96796191e-01 1.10863451e-16 1.27299248e-15 3.20385839e-03]\n  [9.97778475e-01 3.81084280e-19 1.27163303e-17 2.22152378e-03]\n  [9.98122156e-01 5.76261190e-20 3.56818171e-18 1.87783816e-03]\n  [9.98321474e-01 9.28666707e-21 8.42769555e-19 1.67848694e-03]]\n\n [[9.98320758e-01 2.67512520e-13 3.93716093e-12 1.67920126e-03]\n  [9.98703003e-01 1.38174431e-18 4.62165197e-17 1.29695015e-03]\n  [9.98727620e-01 8.44370056e-21 1.47382151e-18 1.27238582e-03]\n  [9.98748422e-01 2.04763573e-21 8.52860331e-19 1.25159021e-03]\n  [9.98799324e-01 4.65197965e-22 3.06312710e-19 1.20063149e-03]]\n\n ...\n\n [[9.27918136e-01 9.00625037e-06 2.97747738e-05 7.20431432e-02]\n  [9.16316748e-01 2.01343525e-07 1.00480224e-06 8.36820379e-02]\n  [9.17233527e-01 9.05792419e-08 7.36457082e-07 8.27655494e-02]\n  [9.14332986e-01 1.43489117e-07 1.33289268e-06 8.56655985e-02]\n  [9.11944807e-01 1.76571177e-07 1.63518962e-06 8.80533531e-02]]\n\n [[9.12505686e-01 2.49853711e-05 7.56013324e-05 8.73937234e-02]\n  [9.09405589e-01 7.11499297e-07 2.94030110e-06 9.05907154e-02]\n  [9.16417003e-01 3.55200399e-07 2.23239067e-06 8.35805461e-02]\n  [9.09363747e-01 5.50689663e-07 3.81310997e-06 9.06318352e-02]\n  [9.01576281e-01 6.70543557e-07 5.01821614e-06 9.84180421e-02]]\n\n [[8.71335030e-01 4.09301399e-04 1.01542263e-03 1.27240285e-01]\n  [9.10529494e-01 3.54344666e-05 1.01463622e-04 8.93336385e-02]\n  [9.17116821e-01 2.94407309e-05 9.16234567e-05 8.27622041e-02]\n  [9.09038603e-01 4.48392930e-05 1.45110389e-04 9.07714069e-02]\n  [8.97225201e-01 5.63755348e-05 1.86428661e-04 1.02532044e-01]]]\nPredicted mask after argmax for 2008_000956: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000956 has shape: (441, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000956. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000956.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000956: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84226763e-01 5.74915262e-08 1.53664089e-07 1.57731045e-02]\n  [9.94718075e-01 9.32272228e-12 3.01897847e-11 5.28194290e-03]\n  [9.97681141e-01 6.43293741e-14 4.21726483e-13 2.31882185e-03]\n  [9.98505652e-01 6.61267568e-15 6.36119507e-14 1.49437343e-03]\n  [9.98940408e-01 9.96926650e-16 1.15876521e-14 1.05965324e-03]]\n\n [[9.95202661e-01 1.10302297e-11 8.26279323e-11 4.79731569e-03]\n  [9.96796191e-01 1.10863451e-16 1.27299248e-15 3.20385839e-03]\n  [9.97778475e-01 3.81084280e-19 1.27163303e-17 2.22152378e-03]\n  [9.98122156e-01 5.76261190e-20 3.56818171e-18 1.87783816e-03]\n  [9.98321474e-01 9.28666707e-21 8.42769555e-19 1.67848694e-03]]\n\n [[9.98320758e-01 2.67512520e-13 3.93716093e-12 1.67920126e-03]\n  [9.98703003e-01 1.38174431e-18 4.62165197e-17 1.29695015e-03]\n  [9.98727620e-01 8.44370056e-21 1.47382151e-18 1.27238582e-03]\n  [9.98748422e-01 2.04763573e-21 8.52860331e-19 1.25159021e-03]\n  [9.98799324e-01 4.65197965e-22 3.06312710e-19 1.20063149e-03]]\n\n ...\n\n [[9.27918136e-01 9.00625037e-06 2.97747738e-05 7.20431432e-02]\n  [9.16316748e-01 2.01343525e-07 1.00480224e-06 8.36820379e-02]\n  [9.17233527e-01 9.05792419e-08 7.36457082e-07 8.27655494e-02]\n  [9.14332986e-01 1.43489117e-07 1.33289268e-06 8.56655985e-02]\n  [9.11944807e-01 1.76571177e-07 1.63518962e-06 8.80533531e-02]]\n\n [[9.12505686e-01 2.49853711e-05 7.56013324e-05 8.73937234e-02]\n  [9.09405589e-01 7.11499297e-07 2.94030110e-06 9.05907154e-02]\n  [9.16417003e-01 3.55200399e-07 2.23239067e-06 8.35805461e-02]\n  [9.09363747e-01 5.50689663e-07 3.81310997e-06 9.06318352e-02]\n  [9.01576281e-01 6.70543557e-07 5.01821614e-06 9.84180421e-02]]\n\n [[8.71335030e-01 4.09301399e-04 1.01542263e-03 1.27240285e-01]\n  [9.10529494e-01 3.54344666e-05 1.01463622e-04 8.93336385e-02]\n  [9.17116821e-01 2.94407309e-05 9.16234567e-05 8.27622041e-02]\n  [9.09038603e-01 4.48392930e-05 1.45110389e-04 9.07714069e-02]\n  [8.97225201e-01 5.63755348e-05 1.86428661e-04 1.02532044e-01]]]\nPredicted mask after argmax for 2008_000956: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000956 has shape: (441, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000956. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000964.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000964: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69172180e-01 1.02441425e-06 2.25305939e-06 3.08243893e-02]\n  [9.84560728e-01 1.75770065e-09 4.55443550e-09 1.54393241e-02]\n  [9.88687813e-01 1.52771934e-10 6.70179634e-10 1.13121700e-02]\n  [9.88732696e-01 1.25644675e-10 6.93127444e-10 1.12673333e-02]\n  [9.88844812e-01 8.34215891e-11 5.36734823e-10 1.11551853e-02]]\n\n [[9.88886237e-01 8.59661786e-10 4.30945724e-09 1.11137349e-02]\n  [9.89312351e-01 2.53209373e-13 1.66542886e-12 1.06876092e-02]\n  [9.88965392e-01 2.22817184e-14 3.35396180e-13 1.10346321e-02]\n  [9.87669587e-01 3.28860271e-14 7.46526430e-13 1.23303505e-02]\n  [9.87278104e-01 2.14639419e-14 6.77187852e-13 1.27218580e-02]]\n\n [[9.94967759e-01 4.98103017e-11 4.25405544e-10 5.03225438e-03]\n  [9.94492114e-01 9.57726770e-15 1.41113765e-13 5.50781330e-03]\n  [9.92889524e-01 1.15966349e-15 5.67768556e-14 7.11049279e-03]\n  [9.90777314e-01 2.16530357e-15 1.82552080e-13 9.22271982e-03]\n  [9.90779161e-01 1.20117287e-15 1.41021729e-13 9.22086369e-03]]\n\n ...\n\n [[9.48805988e-01 3.67094799e-07 1.87549927e-06 5.11918180e-02]\n  [9.56507504e-01 7.74153797e-10 9.49367784e-09 4.34925221e-02]\n  [9.61647391e-01 1.15558112e-10 2.47217424e-09 3.83525603e-02]\n  [9.63372111e-01 1.50388105e-10 3.64395203e-09 3.66278850e-02]\n  [9.63322580e-01 1.57686864e-10 3.87571353e-09 3.66774537e-02]]\n\n [[9.43599403e-01 7.44408851e-07 3.68354699e-06 5.63960709e-02]\n  [9.55444098e-01 2.14937845e-09 2.10044639e-08 4.45559658e-02]\n  [9.62249279e-01 4.26773727e-10 6.49498899e-09 3.77507284e-02]\n  [9.60771143e-01 5.67273672e-10 9.87979121e-09 3.92289273e-02]\n  [9.59886670e-01 5.95615779e-10 1.15375682e-08 4.01133038e-02]]\n\n [[9.15889859e-01 2.91976739e-05 1.08308341e-04 8.39727074e-02]\n  [9.56229568e-01 5.70393581e-07 2.66085021e-06 4.37671877e-02]\n  [9.66410220e-01 2.39618544e-07 1.31374247e-06 3.35882306e-02]\n  [9.63469267e-01 3.53209856e-07 2.03078412e-06 3.65283303e-02]\n  [9.60045338e-01 4.07339172e-07 2.43098930e-06 3.99518833e-02]]]\nPredicted mask after argmax for 2008_000964: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000964 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000964. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000964.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000964: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69172180e-01 1.02441425e-06 2.25305939e-06 3.08243893e-02]\n  [9.84560728e-01 1.75770065e-09 4.55443550e-09 1.54393241e-02]\n  [9.88687813e-01 1.52771934e-10 6.70179634e-10 1.13121700e-02]\n  [9.88732696e-01 1.25644675e-10 6.93127444e-10 1.12673333e-02]\n  [9.88844812e-01 8.34215891e-11 5.36734823e-10 1.11551853e-02]]\n\n [[9.88886237e-01 8.59661786e-10 4.30945724e-09 1.11137349e-02]\n  [9.89312351e-01 2.53209373e-13 1.66542886e-12 1.06876092e-02]\n  [9.88965392e-01 2.22817184e-14 3.35396180e-13 1.10346321e-02]\n  [9.87669587e-01 3.28860271e-14 7.46526430e-13 1.23303505e-02]\n  [9.87278104e-01 2.14639419e-14 6.77187852e-13 1.27218580e-02]]\n\n [[9.94967759e-01 4.98103017e-11 4.25405544e-10 5.03225438e-03]\n  [9.94492114e-01 9.57726770e-15 1.41113765e-13 5.50781330e-03]\n  [9.92889524e-01 1.15966349e-15 5.67768556e-14 7.11049279e-03]\n  [9.90777314e-01 2.16530357e-15 1.82552080e-13 9.22271982e-03]\n  [9.90779161e-01 1.20117287e-15 1.41021729e-13 9.22086369e-03]]\n\n ...\n\n [[9.48805988e-01 3.67094799e-07 1.87549927e-06 5.11918180e-02]\n  [9.56507504e-01 7.74153797e-10 9.49367784e-09 4.34925221e-02]\n  [9.61647391e-01 1.15558112e-10 2.47217424e-09 3.83525603e-02]\n  [9.63372111e-01 1.50388105e-10 3.64395203e-09 3.66278850e-02]\n  [9.63322580e-01 1.57686864e-10 3.87571353e-09 3.66774537e-02]]\n\n [[9.43599403e-01 7.44408851e-07 3.68354699e-06 5.63960709e-02]\n  [9.55444098e-01 2.14937845e-09 2.10044639e-08 4.45559658e-02]\n  [9.62249279e-01 4.26773727e-10 6.49498899e-09 3.77507284e-02]\n  [9.60771143e-01 5.67273672e-10 9.87979121e-09 3.92289273e-02]\n  [9.59886670e-01 5.95615779e-10 1.15375682e-08 4.01133038e-02]]\n\n [[9.15889859e-01 2.91976739e-05 1.08308341e-04 8.39727074e-02]\n  [9.56229568e-01 5.70393581e-07 2.66085021e-06 4.37671877e-02]\n  [9.66410220e-01 2.39618544e-07 1.31374247e-06 3.35882306e-02]\n  [9.63469267e-01 3.53209856e-07 2.03078412e-06 3.65283303e-02]\n  [9.60045338e-01 4.07339172e-07 2.43098930e-06 3.99518833e-02]]]\nPredicted mask after argmax for 2008_000964: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000964 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000964. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000964.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000964: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69172180e-01 1.02441425e-06 2.25305939e-06 3.08243893e-02]\n  [9.84560728e-01 1.75770065e-09 4.55443550e-09 1.54393241e-02]\n  [9.88687813e-01 1.52771934e-10 6.70179634e-10 1.13121700e-02]\n  [9.88732696e-01 1.25644675e-10 6.93127444e-10 1.12673333e-02]\n  [9.88844812e-01 8.34215891e-11 5.36734823e-10 1.11551853e-02]]\n\n [[9.88886237e-01 8.59661786e-10 4.30945724e-09 1.11137349e-02]\n  [9.89312351e-01 2.53209373e-13 1.66542886e-12 1.06876092e-02]\n  [9.88965392e-01 2.22817184e-14 3.35396180e-13 1.10346321e-02]\n  [9.87669587e-01 3.28860271e-14 7.46526430e-13 1.23303505e-02]\n  [9.87278104e-01 2.14639419e-14 6.77187852e-13 1.27218580e-02]]\n\n [[9.94967759e-01 4.98103017e-11 4.25405544e-10 5.03225438e-03]\n  [9.94492114e-01 9.57726770e-15 1.41113765e-13 5.50781330e-03]\n  [9.92889524e-01 1.15966349e-15 5.67768556e-14 7.11049279e-03]\n  [9.90777314e-01 2.16530357e-15 1.82552080e-13 9.22271982e-03]\n  [9.90779161e-01 1.20117287e-15 1.41021729e-13 9.22086369e-03]]\n\n ...\n\n [[9.48805988e-01 3.67094799e-07 1.87549927e-06 5.11918180e-02]\n  [9.56507504e-01 7.74153797e-10 9.49367784e-09 4.34925221e-02]\n  [9.61647391e-01 1.15558112e-10 2.47217424e-09 3.83525603e-02]\n  [9.63372111e-01 1.50388105e-10 3.64395203e-09 3.66278850e-02]\n  [9.63322580e-01 1.57686864e-10 3.87571353e-09 3.66774537e-02]]\n\n [[9.43599403e-01 7.44408851e-07 3.68354699e-06 5.63960709e-02]\n  [9.55444098e-01 2.14937845e-09 2.10044639e-08 4.45559658e-02]\n  [9.62249279e-01 4.26773727e-10 6.49498899e-09 3.77507284e-02]\n  [9.60771143e-01 5.67273672e-10 9.87979121e-09 3.92289273e-02]\n  [9.59886670e-01 5.95615779e-10 1.15375682e-08 4.01133038e-02]]\n\n [[9.15889859e-01 2.91976739e-05 1.08308341e-04 8.39727074e-02]\n  [9.56229568e-01 5.70393581e-07 2.66085021e-06 4.37671877e-02]\n  [9.66410220e-01 2.39618544e-07 1.31374247e-06 3.35882306e-02]\n  [9.63469267e-01 3.53209856e-07 2.03078412e-06 3.65283303e-02]\n  [9.60045338e-01 4.07339172e-07 2.43098930e-06 3.99518833e-02]]]\nPredicted mask after argmax for 2008_000964: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000964 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000964. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000964.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000964: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69172180e-01 1.02441425e-06 2.25305939e-06 3.08243893e-02]\n  [9.84560728e-01 1.75770065e-09 4.55443550e-09 1.54393241e-02]\n  [9.88687813e-01 1.52771934e-10 6.70179634e-10 1.13121700e-02]\n  [9.88732696e-01 1.25644675e-10 6.93127444e-10 1.12673333e-02]\n  [9.88844812e-01 8.34215891e-11 5.36734823e-10 1.11551853e-02]]\n\n [[9.88886237e-01 8.59661786e-10 4.30945724e-09 1.11137349e-02]\n  [9.89312351e-01 2.53209373e-13 1.66542886e-12 1.06876092e-02]\n  [9.88965392e-01 2.22817184e-14 3.35396180e-13 1.10346321e-02]\n  [9.87669587e-01 3.28860271e-14 7.46526430e-13 1.23303505e-02]\n  [9.87278104e-01 2.14639419e-14 6.77187852e-13 1.27218580e-02]]\n\n [[9.94967759e-01 4.98103017e-11 4.25405544e-10 5.03225438e-03]\n  [9.94492114e-01 9.57726770e-15 1.41113765e-13 5.50781330e-03]\n  [9.92889524e-01 1.15966349e-15 5.67768556e-14 7.11049279e-03]\n  [9.90777314e-01 2.16530357e-15 1.82552080e-13 9.22271982e-03]\n  [9.90779161e-01 1.20117287e-15 1.41021729e-13 9.22086369e-03]]\n\n ...\n\n [[9.48805988e-01 3.67094799e-07 1.87549927e-06 5.11918180e-02]\n  [9.56507504e-01 7.74153797e-10 9.49367784e-09 4.34925221e-02]\n  [9.61647391e-01 1.15558112e-10 2.47217424e-09 3.83525603e-02]\n  [9.63372111e-01 1.50388105e-10 3.64395203e-09 3.66278850e-02]\n  [9.63322580e-01 1.57686864e-10 3.87571353e-09 3.66774537e-02]]\n\n [[9.43599403e-01 7.44408851e-07 3.68354699e-06 5.63960709e-02]\n  [9.55444098e-01 2.14937845e-09 2.10044639e-08 4.45559658e-02]\n  [9.62249279e-01 4.26773727e-10 6.49498899e-09 3.77507284e-02]\n  [9.60771143e-01 5.67273672e-10 9.87979121e-09 3.92289273e-02]\n  [9.59886670e-01 5.95615779e-10 1.15375682e-08 4.01133038e-02]]\n\n [[9.15889859e-01 2.91976739e-05 1.08308341e-04 8.39727074e-02]\n  [9.56229568e-01 5.70393581e-07 2.66085021e-06 4.37671877e-02]\n  [9.66410220e-01 2.39618544e-07 1.31374247e-06 3.35882306e-02]\n  [9.63469267e-01 3.53209856e-07 2.03078412e-06 3.65283303e-02]\n  [9.60045338e-01 4.07339172e-07 2.43098930e-06 3.99518833e-02]]]\nPredicted mask after argmax for 2008_000964: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000964 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000964. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000973.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000973: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9052590e-01 1.2428573e-08 3.3655798e-08 9.4741303e-03]\n  [9.9633741e-01 3.7515902e-12 9.0714797e-12 3.6626142e-03]\n  [9.9768579e-01 1.1072915e-13 5.4568535e-13 2.3142630e-03]\n  [9.9789464e-01 3.3662041e-14 2.6840498e-13 2.1053266e-03]\n  [9.9835277e-01 5.7730682e-15 6.2943770e-14 1.6472475e-03]]\n\n [[9.9768722e-01 1.1282053e-12 8.0561747e-12 2.3127287e-03]\n  [9.9772578e-01 3.1191882e-17 2.5217320e-16 2.2741593e-03]\n  [9.9719691e-01 1.2832114e-18 2.9603391e-17 2.8030239e-03]\n  [9.9692255e-01 9.0758577e-19 4.4221612e-17 3.0773820e-03]\n  [9.9735057e-01 1.2044278e-19 1.0661821e-17 2.6494660e-03]]\n\n [[9.9931633e-01 1.6199985e-14 2.1985789e-13 6.8372325e-04]\n  [9.9922037e-01 3.1218324e-19 6.8292548e-18 7.7960599e-04]\n  [9.9865806e-01 2.5753588e-20 3.1397656e-18 1.3418747e-03]\n  [9.9783164e-01 3.8354879e-20 1.1814100e-17 2.1683099e-03]\n  [9.9806923e-01 4.9085516e-21 3.1376270e-18 1.9307956e-03]]\n\n ...\n\n [[9.6513498e-01 4.7330701e-07 1.9276233e-06 3.4862522e-02]\n  [9.5099121e-01 5.6169021e-09 3.0635427e-08 4.9008813e-02]\n  [9.5018417e-01 1.7815804e-09 2.2889399e-08 4.9815785e-02]\n  [9.4786292e-01 1.9651609e-09 3.3154535e-08 5.2136987e-02]\n  [9.5017397e-01 1.2005521e-09 2.3719696e-08 4.9826086e-02]]\n\n [[9.4990408e-01 2.4132810e-06 8.6544969e-06 5.0084889e-02]\n  [9.4159913e-01 3.8755211e-08 1.7349328e-07 5.8400661e-02]\n  [9.4666117e-01 1.3962857e-08 1.2741346e-07 5.3338688e-02]\n  [9.4269276e-01 1.5260257e-08 1.7824220e-07 5.7306990e-02]\n  [9.3994367e-01 1.0814700e-08 1.5234929e-07 6.0056265e-02]]\n\n [[9.1251379e-01 9.3290342e-05 2.6863045e-04 8.7124318e-02]\n  [9.4109285e-01 4.9582050e-06 1.7253911e-05 5.8884893e-02]\n  [9.4391334e-01 3.7784478e-06 1.4643159e-05 5.6068201e-02]\n  [9.4050956e-01 4.9115611e-06 2.1727546e-05 5.9463803e-02]\n  [9.3141544e-01 4.5605675e-06 2.2468656e-05 6.8557531e-02]]]\nPredicted mask after argmax for 2008_000973: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000973 has shape: (367, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000973. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000973.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_000973: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9052590e-01 1.2428573e-08 3.3655798e-08 9.4741303e-03]\n  [9.9633741e-01 3.7515902e-12 9.0714797e-12 3.6626142e-03]\n  [9.9768579e-01 1.1072915e-13 5.4568535e-13 2.3142630e-03]\n  [9.9789464e-01 3.3662041e-14 2.6840498e-13 2.1053266e-03]\n  [9.9835277e-01 5.7730682e-15 6.2943770e-14 1.6472475e-03]]\n\n [[9.9768722e-01 1.1282053e-12 8.0561747e-12 2.3127287e-03]\n  [9.9772578e-01 3.1191882e-17 2.5217320e-16 2.2741593e-03]\n  [9.9719691e-01 1.2832114e-18 2.9603391e-17 2.8030239e-03]\n  [9.9692255e-01 9.0758577e-19 4.4221612e-17 3.0773820e-03]\n  [9.9735057e-01 1.2044278e-19 1.0661821e-17 2.6494660e-03]]\n\n [[9.9931633e-01 1.6199985e-14 2.1985789e-13 6.8372325e-04]\n  [9.9922037e-01 3.1218324e-19 6.8292548e-18 7.7960599e-04]\n  [9.9865806e-01 2.5753588e-20 3.1397656e-18 1.3418747e-03]\n  [9.9783164e-01 3.8354879e-20 1.1814100e-17 2.1683099e-03]\n  [9.9806923e-01 4.9085516e-21 3.1376270e-18 1.9307956e-03]]\n\n ...\n\n [[9.6513498e-01 4.7330701e-07 1.9276233e-06 3.4862522e-02]\n  [9.5099121e-01 5.6169021e-09 3.0635427e-08 4.9008813e-02]\n  [9.5018417e-01 1.7815804e-09 2.2889399e-08 4.9815785e-02]\n  [9.4786292e-01 1.9651609e-09 3.3154535e-08 5.2136987e-02]\n  [9.5017397e-01 1.2005521e-09 2.3719696e-08 4.9826086e-02]]\n\n [[9.4990408e-01 2.4132810e-06 8.6544969e-06 5.0084889e-02]\n  [9.4159913e-01 3.8755211e-08 1.7349328e-07 5.8400661e-02]\n  [9.4666117e-01 1.3962857e-08 1.2741346e-07 5.3338688e-02]\n  [9.4269276e-01 1.5260257e-08 1.7824220e-07 5.7306990e-02]\n  [9.3994367e-01 1.0814700e-08 1.5234929e-07 6.0056265e-02]]\n\n [[9.1251379e-01 9.3290342e-05 2.6863045e-04 8.7124318e-02]\n  [9.4109285e-01 4.9582050e-06 1.7253911e-05 5.8884893e-02]\n  [9.4391334e-01 3.7784478e-06 1.4643159e-05 5.6068201e-02]\n  [9.4050956e-01 4.9115611e-06 2.1727546e-05 5.9463803e-02]\n  [9.3141544e-01 4.5605675e-06 2.2468656e-05 6.8557531e-02]]]\nPredicted mask after argmax for 2008_000973: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000973 has shape: (367, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000973. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000973.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000973: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9052590e-01 1.2428573e-08 3.3655798e-08 9.4741303e-03]\n  [9.9633741e-01 3.7515902e-12 9.0714797e-12 3.6626142e-03]\n  [9.9768579e-01 1.1072915e-13 5.4568535e-13 2.3142630e-03]\n  [9.9789464e-01 3.3662041e-14 2.6840498e-13 2.1053266e-03]\n  [9.9835277e-01 5.7730682e-15 6.2943770e-14 1.6472475e-03]]\n\n [[9.9768722e-01 1.1282053e-12 8.0561747e-12 2.3127287e-03]\n  [9.9772578e-01 3.1191882e-17 2.5217320e-16 2.2741593e-03]\n  [9.9719691e-01 1.2832114e-18 2.9603391e-17 2.8030239e-03]\n  [9.9692255e-01 9.0758577e-19 4.4221612e-17 3.0773820e-03]\n  [9.9735057e-01 1.2044278e-19 1.0661821e-17 2.6494660e-03]]\n\n [[9.9931633e-01 1.6199985e-14 2.1985789e-13 6.8372325e-04]\n  [9.9922037e-01 3.1218324e-19 6.8292548e-18 7.7960599e-04]\n  [9.9865806e-01 2.5753588e-20 3.1397656e-18 1.3418747e-03]\n  [9.9783164e-01 3.8354879e-20 1.1814100e-17 2.1683099e-03]\n  [9.9806923e-01 4.9085516e-21 3.1376270e-18 1.9307956e-03]]\n\n ...\n\n [[9.6513498e-01 4.7330701e-07 1.9276233e-06 3.4862522e-02]\n  [9.5099121e-01 5.6169021e-09 3.0635427e-08 4.9008813e-02]\n  [9.5018417e-01 1.7815804e-09 2.2889399e-08 4.9815785e-02]\n  [9.4786292e-01 1.9651609e-09 3.3154535e-08 5.2136987e-02]\n  [9.5017397e-01 1.2005521e-09 2.3719696e-08 4.9826086e-02]]\n\n [[9.4990408e-01 2.4132810e-06 8.6544969e-06 5.0084889e-02]\n  [9.4159913e-01 3.8755211e-08 1.7349328e-07 5.8400661e-02]\n  [9.4666117e-01 1.3962857e-08 1.2741346e-07 5.3338688e-02]\n  [9.4269276e-01 1.5260257e-08 1.7824220e-07 5.7306990e-02]\n  [9.3994367e-01 1.0814700e-08 1.5234929e-07 6.0056265e-02]]\n\n [[9.1251379e-01 9.3290342e-05 2.6863045e-04 8.7124318e-02]\n  [9.4109285e-01 4.9582050e-06 1.7253911e-05 5.8884893e-02]\n  [9.4391334e-01 3.7784478e-06 1.4643159e-05 5.6068201e-02]\n  [9.4050956e-01 4.9115611e-06 2.1727546e-05 5.9463803e-02]\n  [9.3141544e-01 4.5605675e-06 2.2468656e-05 6.8557531e-02]]]\nPredicted mask after argmax for 2008_000973: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000973 has shape: (367, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000973. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000999.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000999: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81706381e-01 2.41617869e-07 5.41834936e-07 1.82927866e-02]\n  [9.91299331e-01 3.96553651e-10 7.10012937e-10 8.70062318e-03]\n  [9.93565381e-01 2.97166944e-11 9.58387050e-11 6.43455284e-03]\n  [9.93636131e-01 1.33108108e-11 6.71709147e-11 6.36389060e-03]\n  [9.94366825e-01 4.08910926e-12 2.67039914e-11 5.63313253e-03]]\n\n [[9.94755149e-01 9.01096767e-11 4.47944432e-10 5.24485856e-03]\n  [9.94269371e-01 1.96391213e-14 9.64235067e-14 5.73057216e-03]\n  [9.92178917e-01 2.31316799e-15 2.65408575e-14 7.82102719e-03]\n  [9.90972400e-01 2.39055970e-15 5.40782290e-14 9.02759284e-03]\n  [9.91391897e-01 6.56100445e-16 2.44174933e-14 8.60815495e-03]]\n\n [[9.98267889e-01 1.58373401e-12 1.34225617e-11 1.73208781e-03]\n  [9.97885287e-01 2.45784265e-16 2.71448966e-15 2.11469200e-03]\n  [9.96426880e-01 5.09845840e-17 2.54206891e-15 3.57309030e-03]\n  [9.93566334e-01 1.20906740e-16 1.30567520e-14 6.43370580e-03]\n  [9.93541360e-01 3.38778801e-17 6.69592039e-15 6.45865640e-03]]\n\n ...\n\n [[8.93069327e-01 5.47445125e-05 1.57659015e-04 1.06718339e-01]\n  [8.88301134e-01 1.87150522e-06 7.95403776e-06 1.11689046e-01]\n  [8.90607774e-01 9.77036279e-07 5.96231939e-06 1.09385327e-01]\n  [8.86888027e-01 1.51373024e-06 1.00926354e-05 1.13100491e-01]\n  [8.82396579e-01 2.09181462e-06 1.36725384e-05 1.17587656e-01]]\n\n [[8.74920368e-01 1.35499839e-04 3.62404069e-04 1.24581710e-01]\n  [8.77219021e-01 6.03749186e-06 2.21114788e-05 1.22752786e-01]\n  [8.86823773e-01 3.36029211e-06 1.65860147e-05 1.13156214e-01]\n  [8.79181027e-01 4.95589529e-06 2.57622069e-05 1.20788299e-01]\n  [8.70816350e-01 6.46588796e-06 3.48612448e-05 1.29142284e-01]]\n\n [[8.27805281e-01 1.44391204e-03 3.16906325e-03 1.67581752e-01]\n  [8.71636391e-01 1.92650914e-04 4.78522998e-04 1.27692416e-01]\n  [8.81545305e-01 1.60933661e-04 4.33869165e-04 1.17859885e-01]\n  [8.72597337e-01 2.20236223e-04 6.02221873e-04 1.26580253e-01]\n  [8.61740947e-01 2.70121353e-04 7.34287663e-04 1.37254670e-01]]]\nPredicted mask after argmax for 2008_000999: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000999 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000999. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000999.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_000999: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81706381e-01 2.41617869e-07 5.41834936e-07 1.82927866e-02]\n  [9.91299331e-01 3.96553651e-10 7.10012937e-10 8.70062318e-03]\n  [9.93565381e-01 2.97166944e-11 9.58387050e-11 6.43455284e-03]\n  [9.93636131e-01 1.33108108e-11 6.71709147e-11 6.36389060e-03]\n  [9.94366825e-01 4.08910926e-12 2.67039914e-11 5.63313253e-03]]\n\n [[9.94755149e-01 9.01096767e-11 4.47944432e-10 5.24485856e-03]\n  [9.94269371e-01 1.96391213e-14 9.64235067e-14 5.73057216e-03]\n  [9.92178917e-01 2.31316799e-15 2.65408575e-14 7.82102719e-03]\n  [9.90972400e-01 2.39055970e-15 5.40782290e-14 9.02759284e-03]\n  [9.91391897e-01 6.56100445e-16 2.44174933e-14 8.60815495e-03]]\n\n [[9.98267889e-01 1.58373401e-12 1.34225617e-11 1.73208781e-03]\n  [9.97885287e-01 2.45784265e-16 2.71448966e-15 2.11469200e-03]\n  [9.96426880e-01 5.09845840e-17 2.54206891e-15 3.57309030e-03]\n  [9.93566334e-01 1.20906740e-16 1.30567520e-14 6.43370580e-03]\n  [9.93541360e-01 3.38778801e-17 6.69592039e-15 6.45865640e-03]]\n\n ...\n\n [[8.93069327e-01 5.47445125e-05 1.57659015e-04 1.06718339e-01]\n  [8.88301134e-01 1.87150522e-06 7.95403776e-06 1.11689046e-01]\n  [8.90607774e-01 9.77036279e-07 5.96231939e-06 1.09385327e-01]\n  [8.86888027e-01 1.51373024e-06 1.00926354e-05 1.13100491e-01]\n  [8.82396579e-01 2.09181462e-06 1.36725384e-05 1.17587656e-01]]\n\n [[8.74920368e-01 1.35499839e-04 3.62404069e-04 1.24581710e-01]\n  [8.77219021e-01 6.03749186e-06 2.21114788e-05 1.22752786e-01]\n  [8.86823773e-01 3.36029211e-06 1.65860147e-05 1.13156214e-01]\n  [8.79181027e-01 4.95589529e-06 2.57622069e-05 1.20788299e-01]\n  [8.70816350e-01 6.46588796e-06 3.48612448e-05 1.29142284e-01]]\n\n [[8.27805281e-01 1.44391204e-03 3.16906325e-03 1.67581752e-01]\n  [8.71636391e-01 1.92650914e-04 4.78522998e-04 1.27692416e-01]\n  [8.81545305e-01 1.60933661e-04 4.33869165e-04 1.17859885e-01]\n  [8.72597337e-01 2.20236223e-04 6.02221873e-04 1.26580253e-01]\n  [8.61740947e-01 2.70121353e-04 7.34287663e-04 1.37254670e-01]]]\nPredicted mask after argmax for 2008_000999: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_000999 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_000999. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001004: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58991766e-01 3.71260285e-06 7.64078777e-06 4.09968682e-02]\n  [9.79038000e-01 1.03292663e-08 2.40672549e-08 2.09620241e-02]\n  [9.85430717e-01 9.04212427e-10 3.27466720e-09 1.45692565e-02]\n  [9.86390352e-01 6.21740381e-10 2.70628653e-09 1.36096803e-02]\n  [9.86798882e-01 4.31227665e-10 2.08155826e-09 1.32011194e-02]]\n\n [[9.82473254e-01 7.65926078e-09 3.25195089e-08 1.75268110e-02]\n  [9.83694851e-01 4.57704144e-12 2.47587367e-11 1.63052157e-02]\n  [9.83658612e-01 4.46033699e-13 4.65373877e-12 1.63413938e-02]\n  [9.82582927e-01 5.39355398e-13 7.86482598e-12 1.74171217e-02]\n  [9.81876314e-01 3.76855394e-13 7.14803954e-12 1.81236845e-02]]\n\n [[9.91211772e-01 6.71449785e-10 4.61666216e-09 8.78831837e-03]\n  [9.90828872e-01 2.91454496e-13 3.32822441e-12 9.17113479e-03]\n  [9.89036858e-01 3.92593503e-14 1.22671567e-12 1.09632015e-02]\n  [9.86484766e-01 6.12151592e-14 3.03005494e-12 1.35152144e-02]\n  [9.85945642e-01 3.95053422e-14 2.60611086e-12 1.40543338e-02]]\n\n ...\n\n [[8.73679459e-01 1.11291389e-04 2.98284547e-04 1.25910908e-01]\n  [8.73403132e-01 3.96056339e-06 1.61942480e-05 1.26576662e-01]\n  [8.81216288e-01 1.63625771e-06 9.37675395e-06 1.18772723e-01]\n  [8.82158756e-01 2.05045035e-06 1.30291128e-05 1.17826253e-01]\n  [8.79249871e-01 2.50902644e-06 1.57065751e-05 1.20731898e-01]]\n\n [[8.57422113e-01 2.34982392e-04 5.99759631e-04 1.41743124e-01]\n  [8.63624156e-01 1.05654672e-05 3.83194310e-05 1.36326849e-01]\n  [8.79253924e-01 4.72981446e-06 2.27987257e-05 1.20718524e-01]\n  [8.74983430e-01 5.67376173e-06 2.91126562e-05 1.24981813e-01]\n  [8.70279908e-01 6.43603062e-06 3.44721193e-05 1.29679173e-01]]\n\n [[8.10795605e-01 2.05947878e-03 4.38286224e-03 1.82762027e-01]\n  [8.60634923e-01 2.82934780e-04 6.89225562e-04 1.38392821e-01]\n  [8.74714494e-01 2.01665971e-04 5.43579576e-04 1.24540284e-01]\n  [8.68195236e-01 2.39589295e-04 6.61010505e-04 1.30904198e-01]\n  [8.59352767e-01 2.69623852e-04 7.47140672e-04 1.39630556e-01]]]\nPredicted mask after argmax for 2008_001004: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001004 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001004. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001004: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58991766e-01 3.71260285e-06 7.64078777e-06 4.09968682e-02]\n  [9.79038000e-01 1.03292663e-08 2.40672549e-08 2.09620241e-02]\n  [9.85430717e-01 9.04212427e-10 3.27466720e-09 1.45692565e-02]\n  [9.86390352e-01 6.21740381e-10 2.70628653e-09 1.36096803e-02]\n  [9.86798882e-01 4.31227665e-10 2.08155826e-09 1.32011194e-02]]\n\n [[9.82473254e-01 7.65926078e-09 3.25195089e-08 1.75268110e-02]\n  [9.83694851e-01 4.57704144e-12 2.47587367e-11 1.63052157e-02]\n  [9.83658612e-01 4.46033699e-13 4.65373877e-12 1.63413938e-02]\n  [9.82582927e-01 5.39355398e-13 7.86482598e-12 1.74171217e-02]\n  [9.81876314e-01 3.76855394e-13 7.14803954e-12 1.81236845e-02]]\n\n [[9.91211772e-01 6.71449785e-10 4.61666216e-09 8.78831837e-03]\n  [9.90828872e-01 2.91454496e-13 3.32822441e-12 9.17113479e-03]\n  [9.89036858e-01 3.92593503e-14 1.22671567e-12 1.09632015e-02]\n  [9.86484766e-01 6.12151592e-14 3.03005494e-12 1.35152144e-02]\n  [9.85945642e-01 3.95053422e-14 2.60611086e-12 1.40543338e-02]]\n\n ...\n\n [[8.73679459e-01 1.11291389e-04 2.98284547e-04 1.25910908e-01]\n  [8.73403132e-01 3.96056339e-06 1.61942480e-05 1.26576662e-01]\n  [8.81216288e-01 1.63625771e-06 9.37675395e-06 1.18772723e-01]\n  [8.82158756e-01 2.05045035e-06 1.30291128e-05 1.17826253e-01]\n  [8.79249871e-01 2.50902644e-06 1.57065751e-05 1.20731898e-01]]\n\n [[8.57422113e-01 2.34982392e-04 5.99759631e-04 1.41743124e-01]\n  [8.63624156e-01 1.05654672e-05 3.83194310e-05 1.36326849e-01]\n  [8.79253924e-01 4.72981446e-06 2.27987257e-05 1.20718524e-01]\n  [8.74983430e-01 5.67376173e-06 2.91126562e-05 1.24981813e-01]\n  [8.70279908e-01 6.43603062e-06 3.44721193e-05 1.29679173e-01]]\n\n [[8.10795605e-01 2.05947878e-03 4.38286224e-03 1.82762027e-01]\n  [8.60634923e-01 2.82934780e-04 6.89225562e-04 1.38392821e-01]\n  [8.74714494e-01 2.01665971e-04 5.43579576e-04 1.24540284e-01]\n  [8.68195236e-01 2.39589295e-04 6.61010505e-04 1.30904198e-01]\n  [8.59352767e-01 2.69623852e-04 7.47140672e-04 1.39630556e-01]]]\nPredicted mask after argmax for 2008_001004: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001004 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001004. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_001004: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58991766e-01 3.71260285e-06 7.64078777e-06 4.09968682e-02]\n  [9.79038000e-01 1.03292663e-08 2.40672549e-08 2.09620241e-02]\n  [9.85430717e-01 9.04212427e-10 3.27466720e-09 1.45692565e-02]\n  [9.86390352e-01 6.21740381e-10 2.70628653e-09 1.36096803e-02]\n  [9.86798882e-01 4.31227665e-10 2.08155826e-09 1.32011194e-02]]\n\n [[9.82473254e-01 7.65926078e-09 3.25195089e-08 1.75268110e-02]\n  [9.83694851e-01 4.57704144e-12 2.47587367e-11 1.63052157e-02]\n  [9.83658612e-01 4.46033699e-13 4.65373877e-12 1.63413938e-02]\n  [9.82582927e-01 5.39355398e-13 7.86482598e-12 1.74171217e-02]\n  [9.81876314e-01 3.76855394e-13 7.14803954e-12 1.81236845e-02]]\n\n [[9.91211772e-01 6.71449785e-10 4.61666216e-09 8.78831837e-03]\n  [9.90828872e-01 2.91454496e-13 3.32822441e-12 9.17113479e-03]\n  [9.89036858e-01 3.92593503e-14 1.22671567e-12 1.09632015e-02]\n  [9.86484766e-01 6.12151592e-14 3.03005494e-12 1.35152144e-02]\n  [9.85945642e-01 3.95053422e-14 2.60611086e-12 1.40543338e-02]]\n\n ...\n\n [[8.73679459e-01 1.11291389e-04 2.98284547e-04 1.25910908e-01]\n  [8.73403132e-01 3.96056339e-06 1.61942480e-05 1.26576662e-01]\n  [8.81216288e-01 1.63625771e-06 9.37675395e-06 1.18772723e-01]\n  [8.82158756e-01 2.05045035e-06 1.30291128e-05 1.17826253e-01]\n  [8.79249871e-01 2.50902644e-06 1.57065751e-05 1.20731898e-01]]\n\n [[8.57422113e-01 2.34982392e-04 5.99759631e-04 1.41743124e-01]\n  [8.63624156e-01 1.05654672e-05 3.83194310e-05 1.36326849e-01]\n  [8.79253924e-01 4.72981446e-06 2.27987257e-05 1.20718524e-01]\n  [8.74983430e-01 5.67376173e-06 2.91126562e-05 1.24981813e-01]\n  [8.70279908e-01 6.43603062e-06 3.44721193e-05 1.29679173e-01]]\n\n [[8.10795605e-01 2.05947878e-03 4.38286224e-03 1.82762027e-01]\n  [8.60634923e-01 2.82934780e-04 6.89225562e-04 1.38392821e-01]\n  [8.74714494e-01 2.01665971e-04 5.43579576e-04 1.24540284e-01]\n  [8.68195236e-01 2.39589295e-04 6.61010505e-04 1.30904198e-01]\n  [8.59352767e-01 2.69623852e-04 7.47140672e-04 1.39630556e-01]]]\nPredicted mask after argmax for 2008_001004: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001004 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001004. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001031.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001031: (1, 256, 256, 4)\nSome predicted mask values: [[[9.88957703e-01 2.50190837e-08 6.61003270e-08 1.10421991e-02]\n  [9.95925605e-01 9.47707017e-12 2.17155842e-11 4.07439005e-03]\n  [9.97427166e-01 3.24511441e-13 1.33177757e-12 2.57285708e-03]\n  [9.97582912e-01 1.42997363e-13 8.74127485e-13 2.41706613e-03]\n  [9.97769237e-01 5.35303986e-14 4.11719432e-13 2.23072665e-03]]\n\n [[9.97023404e-01 3.69327789e-12 2.41245756e-11 2.97656306e-03]\n  [9.97291148e-01 1.35833327e-16 9.86326880e-16 2.70886207e-03]\n  [9.96607065e-01 7.04089355e-18 1.18896149e-16 3.39300046e-03]\n  [9.95956719e-01 9.63146937e-18 3.04215774e-16 4.04330110e-03]\n  [9.95759904e-01 4.41338080e-18 2.16993297e-16 4.24004858e-03]]\n\n [[9.99082088e-01 5.91156423e-14 7.33985138e-13 9.17897560e-04]\n  [9.99007702e-01 1.58146025e-18 3.05908662e-17 9.92267043e-04]\n  [9.98322546e-01 1.73008328e-19 1.59330620e-17 1.67740358e-03]\n  [9.96881902e-01 5.76033069e-19 1.11238587e-16 3.11803771e-03]\n  [9.96491134e-01 3.05674798e-19 1.00084884e-16 3.50884791e-03]]\n\n ...\n\n [[9.56138015e-01 7.76238153e-07 3.26126019e-06 4.38578650e-02]\n  [9.47978735e-01 6.02138650e-09 4.03182803e-08 5.20212166e-02]\n  [9.48250413e-01 1.15862864e-09 1.65232574e-08 5.17495610e-02]\n  [9.53017354e-01 7.88952126e-10 1.56162105e-08 4.69826497e-02]\n  [9.58414614e-01 3.39560935e-10 7.97511124e-09 4.15853634e-02]]\n\n [[9.42764461e-01 2.72279635e-06 1.06340212e-05 5.72221801e-02]\n  [9.40950334e-01 2.69098805e-08 1.49822398e-07 5.90495095e-02]\n  [9.49682474e-01 5.40085665e-09 5.67234011e-08 5.03174253e-02]\n  [9.51273978e-01 3.37471207e-09 4.56291467e-08 4.87260558e-02]\n  [9.56146181e-01 1.28523381e-09 2.35430111e-08 4.38538641e-02]]\n\n [[9.07625437e-01 8.95310222e-05 2.74467282e-04 9.20106024e-02]\n  [9.42740381e-01 3.46987304e-06 1.30713688e-05 5.72430566e-02]\n  [9.53570783e-01 1.43169621e-06 6.28782482e-06 4.64214794e-02]\n  [9.56375003e-01 1.08803715e-06 5.52919300e-06 4.36183661e-02]\n  [9.57581103e-01 6.14158864e-07 3.54123745e-06 4.24147099e-02]]]\nPredicted mask after argmax for 2008_001031: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001031 has shape: (500, 299)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001031. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001031.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_001031: (1, 256, 256, 4)\nSome predicted mask values: [[[9.88957703e-01 2.50190837e-08 6.61003270e-08 1.10421991e-02]\n  [9.95925605e-01 9.47707017e-12 2.17155842e-11 4.07439005e-03]\n  [9.97427166e-01 3.24511441e-13 1.33177757e-12 2.57285708e-03]\n  [9.97582912e-01 1.42997363e-13 8.74127485e-13 2.41706613e-03]\n  [9.97769237e-01 5.35303986e-14 4.11719432e-13 2.23072665e-03]]\n\n [[9.97023404e-01 3.69327789e-12 2.41245756e-11 2.97656306e-03]\n  [9.97291148e-01 1.35833327e-16 9.86326880e-16 2.70886207e-03]\n  [9.96607065e-01 7.04089355e-18 1.18896149e-16 3.39300046e-03]\n  [9.95956719e-01 9.63146937e-18 3.04215774e-16 4.04330110e-03]\n  [9.95759904e-01 4.41338080e-18 2.16993297e-16 4.24004858e-03]]\n\n [[9.99082088e-01 5.91156423e-14 7.33985138e-13 9.17897560e-04]\n  [9.99007702e-01 1.58146025e-18 3.05908662e-17 9.92267043e-04]\n  [9.98322546e-01 1.73008328e-19 1.59330620e-17 1.67740358e-03]\n  [9.96881902e-01 5.76033069e-19 1.11238587e-16 3.11803771e-03]\n  [9.96491134e-01 3.05674798e-19 1.00084884e-16 3.50884791e-03]]\n\n ...\n\n [[9.56138015e-01 7.76238153e-07 3.26126019e-06 4.38578650e-02]\n  [9.47978735e-01 6.02138650e-09 4.03182803e-08 5.20212166e-02]\n  [9.48250413e-01 1.15862864e-09 1.65232574e-08 5.17495610e-02]\n  [9.53017354e-01 7.88952126e-10 1.56162105e-08 4.69826497e-02]\n  [9.58414614e-01 3.39560935e-10 7.97511124e-09 4.15853634e-02]]\n\n [[9.42764461e-01 2.72279635e-06 1.06340212e-05 5.72221801e-02]\n  [9.40950334e-01 2.69098805e-08 1.49822398e-07 5.90495095e-02]\n  [9.49682474e-01 5.40085665e-09 5.67234011e-08 5.03174253e-02]\n  [9.51273978e-01 3.37471207e-09 4.56291467e-08 4.87260558e-02]\n  [9.56146181e-01 1.28523381e-09 2.35430111e-08 4.38538641e-02]]\n\n [[9.07625437e-01 8.95310222e-05 2.74467282e-04 9.20106024e-02]\n  [9.42740381e-01 3.46987304e-06 1.30713688e-05 5.72430566e-02]\n  [9.53570783e-01 1.43169621e-06 6.28782482e-06 4.64214794e-02]\n  [9.56375003e-01 1.08803715e-06 5.52919300e-06 4.36183661e-02]\n  [9.57581103e-01 6.14158864e-07 3.54123745e-06 4.24147099e-02]]]\nPredicted mask after argmax for 2008_001031: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001031 has shape: (500, 299)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001031. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001031.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001031: (1, 256, 256, 4)\nSome predicted mask values: [[[9.88957703e-01 2.50190837e-08 6.61003270e-08 1.10421991e-02]\n  [9.95925605e-01 9.47707017e-12 2.17155842e-11 4.07439005e-03]\n  [9.97427166e-01 3.24511441e-13 1.33177757e-12 2.57285708e-03]\n  [9.97582912e-01 1.42997363e-13 8.74127485e-13 2.41706613e-03]\n  [9.97769237e-01 5.35303986e-14 4.11719432e-13 2.23072665e-03]]\n\n [[9.97023404e-01 3.69327789e-12 2.41245756e-11 2.97656306e-03]\n  [9.97291148e-01 1.35833327e-16 9.86326880e-16 2.70886207e-03]\n  [9.96607065e-01 7.04089355e-18 1.18896149e-16 3.39300046e-03]\n  [9.95956719e-01 9.63146937e-18 3.04215774e-16 4.04330110e-03]\n  [9.95759904e-01 4.41338080e-18 2.16993297e-16 4.24004858e-03]]\n\n [[9.99082088e-01 5.91156423e-14 7.33985138e-13 9.17897560e-04]\n  [9.99007702e-01 1.58146025e-18 3.05908662e-17 9.92267043e-04]\n  [9.98322546e-01 1.73008328e-19 1.59330620e-17 1.67740358e-03]\n  [9.96881902e-01 5.76033069e-19 1.11238587e-16 3.11803771e-03]\n  [9.96491134e-01 3.05674798e-19 1.00084884e-16 3.50884791e-03]]\n\n ...\n\n [[9.56138015e-01 7.76238153e-07 3.26126019e-06 4.38578650e-02]\n  [9.47978735e-01 6.02138650e-09 4.03182803e-08 5.20212166e-02]\n  [9.48250413e-01 1.15862864e-09 1.65232574e-08 5.17495610e-02]\n  [9.53017354e-01 7.88952126e-10 1.56162105e-08 4.69826497e-02]\n  [9.58414614e-01 3.39560935e-10 7.97511124e-09 4.15853634e-02]]\n\n [[9.42764461e-01 2.72279635e-06 1.06340212e-05 5.72221801e-02]\n  [9.40950334e-01 2.69098805e-08 1.49822398e-07 5.90495095e-02]\n  [9.49682474e-01 5.40085665e-09 5.67234011e-08 5.03174253e-02]\n  [9.51273978e-01 3.37471207e-09 4.56291467e-08 4.87260558e-02]\n  [9.56146181e-01 1.28523381e-09 2.35430111e-08 4.38538641e-02]]\n\n [[9.07625437e-01 8.95310222e-05 2.74467282e-04 9.20106024e-02]\n  [9.42740381e-01 3.46987304e-06 1.30713688e-05 5.72430566e-02]\n  [9.53570783e-01 1.43169621e-06 6.28782482e-06 4.64214794e-02]\n  [9.56375003e-01 1.08803715e-06 5.52919300e-06 4.36183661e-02]\n  [9.57581103e-01 6.14158864e-07 3.54123745e-06 4.24147099e-02]]]\nPredicted mask after argmax for 2008_001031: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001031 has shape: (500, 299)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001031. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001031.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001031: (1, 256, 256, 4)\nSome predicted mask values: [[[9.88957703e-01 2.50190837e-08 6.61003270e-08 1.10421991e-02]\n  [9.95925605e-01 9.47707017e-12 2.17155842e-11 4.07439005e-03]\n  [9.97427166e-01 3.24511441e-13 1.33177757e-12 2.57285708e-03]\n  [9.97582912e-01 1.42997363e-13 8.74127485e-13 2.41706613e-03]\n  [9.97769237e-01 5.35303986e-14 4.11719432e-13 2.23072665e-03]]\n\n [[9.97023404e-01 3.69327789e-12 2.41245756e-11 2.97656306e-03]\n  [9.97291148e-01 1.35833327e-16 9.86326880e-16 2.70886207e-03]\n  [9.96607065e-01 7.04089355e-18 1.18896149e-16 3.39300046e-03]\n  [9.95956719e-01 9.63146937e-18 3.04215774e-16 4.04330110e-03]\n  [9.95759904e-01 4.41338080e-18 2.16993297e-16 4.24004858e-03]]\n\n [[9.99082088e-01 5.91156423e-14 7.33985138e-13 9.17897560e-04]\n  [9.99007702e-01 1.58146025e-18 3.05908662e-17 9.92267043e-04]\n  [9.98322546e-01 1.73008328e-19 1.59330620e-17 1.67740358e-03]\n  [9.96881902e-01 5.76033069e-19 1.11238587e-16 3.11803771e-03]\n  [9.96491134e-01 3.05674798e-19 1.00084884e-16 3.50884791e-03]]\n\n ...\n\n [[9.56138015e-01 7.76238153e-07 3.26126019e-06 4.38578650e-02]\n  [9.47978735e-01 6.02138650e-09 4.03182803e-08 5.20212166e-02]\n  [9.48250413e-01 1.15862864e-09 1.65232574e-08 5.17495610e-02]\n  [9.53017354e-01 7.88952126e-10 1.56162105e-08 4.69826497e-02]\n  [9.58414614e-01 3.39560935e-10 7.97511124e-09 4.15853634e-02]]\n\n [[9.42764461e-01 2.72279635e-06 1.06340212e-05 5.72221801e-02]\n  [9.40950334e-01 2.69098805e-08 1.49822398e-07 5.90495095e-02]\n  [9.49682474e-01 5.40085665e-09 5.67234011e-08 5.03174253e-02]\n  [9.51273978e-01 3.37471207e-09 4.56291467e-08 4.87260558e-02]\n  [9.56146181e-01 1.28523381e-09 2.35430111e-08 4.38538641e-02]]\n\n [[9.07625437e-01 8.95310222e-05 2.74467282e-04 9.20106024e-02]\n  [9.42740381e-01 3.46987304e-06 1.30713688e-05 5.72430566e-02]\n  [9.53570783e-01 1.43169621e-06 6.28782482e-06 4.64214794e-02]\n  [9.56375003e-01 1.08803715e-06 5.52919300e-06 4.36183661e-02]\n  [9.57581103e-01 6.14158864e-07 3.54123745e-06 4.24147099e-02]]]\nPredicted mask after argmax for 2008_001031: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001031 has shape: (500, 299)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001031. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_001062: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69848752e-01 1.52681355e-06 3.19375454e-06 3.01464368e-02]\n  [9.84960377e-01 4.03402689e-09 7.70921815e-09 1.50396135e-02]\n  [9.89680827e-01 2.85651558e-10 8.65946814e-10 1.03191733e-02]\n  [9.90946531e-01 9.75610009e-11 4.06919970e-10 9.05351061e-03]\n  [9.92832541e-01 2.30677231e-11 1.18698357e-10 7.16741150e-03]]\n\n [[9.88785148e-01 1.85300209e-09 7.96120414e-09 1.12148793e-02]\n  [9.88843083e-01 8.65148068e-13 4.08456819e-12 1.11568999e-02]\n  [9.87340748e-01 8.08398894e-14 7.56822339e-13 1.26592992e-02]\n  [9.86997128e-01 5.03284988e-14 7.95825916e-13 1.30028166e-02]\n  [9.88564074e-01 9.84560266e-15 2.31579431e-13 1.14359381e-02]]\n\n [[9.95249152e-01 8.29809971e-11 5.84586657e-10 4.75080824e-03]\n  [9.94529724e-01 3.12536150e-14 3.17561000e-13 5.47022931e-03]\n  [9.92105126e-01 4.96292020e-15 1.67610338e-13 7.89490435e-03]\n  [9.89493608e-01 5.40257350e-15 3.55480131e-13 1.05064278e-02]\n  [9.90579784e-01 1.04279020e-15 1.12804893e-13 9.42017697e-03]]\n\n ...\n\n [[9.09236610e-01 1.20574196e-05 4.15894683e-05 9.07097533e-02]\n  [9.13887978e-01 1.42310398e-07 9.31286252e-07 8.61109048e-02]\n  [9.22283351e-01 3.92335160e-08 3.79031633e-07 7.77163357e-02]\n  [9.24460471e-01 4.91385883e-08 5.26509098e-07 7.55389854e-02]\n  [9.23779905e-01 5.45098437e-08 5.79190782e-07 7.62195364e-02]]\n\n [[9.00601745e-01 2.35717216e-05 7.73769789e-05 9.92972404e-02]\n  [9.11755264e-01 3.55507893e-07 1.92326024e-06 8.82424712e-02]\n  [9.23353553e-01 1.12671913e-07 8.44813030e-07 7.66454861e-02]\n  [9.20970500e-01 1.35453988e-07 1.12263774e-06 7.90282860e-02]\n  [9.19499338e-01 1.40343261e-07 1.25423207e-06 8.04993883e-02]]\n\n [[8.64181638e-01 3.57298064e-04 9.37500736e-04 1.34523600e-01]\n  [9.14225996e-01 2.13388812e-05 6.64072795e-05 8.56862068e-02]\n  [9.28388774e-01 1.16943320e-05 4.10683715e-05 7.15584978e-02]\n  [9.24405038e-01 1.43120633e-05 5.20448557e-05 7.55286142e-02]\n  [9.19051349e-01 1.57042159e-05 5.79790940e-05 8.08750540e-02]]]\nPredicted mask after argmax for 2008_001062: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001062 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001062. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001062: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69848752e-01 1.52681355e-06 3.19375454e-06 3.01464368e-02]\n  [9.84960377e-01 4.03402689e-09 7.70921815e-09 1.50396135e-02]\n  [9.89680827e-01 2.85651558e-10 8.65946814e-10 1.03191733e-02]\n  [9.90946531e-01 9.75610009e-11 4.06919970e-10 9.05351061e-03]\n  [9.92832541e-01 2.30677231e-11 1.18698357e-10 7.16741150e-03]]\n\n [[9.88785148e-01 1.85300209e-09 7.96120414e-09 1.12148793e-02]\n  [9.88843083e-01 8.65148068e-13 4.08456819e-12 1.11568999e-02]\n  [9.87340748e-01 8.08398894e-14 7.56822339e-13 1.26592992e-02]\n  [9.86997128e-01 5.03284988e-14 7.95825916e-13 1.30028166e-02]\n  [9.88564074e-01 9.84560266e-15 2.31579431e-13 1.14359381e-02]]\n\n [[9.95249152e-01 8.29809971e-11 5.84586657e-10 4.75080824e-03]\n  [9.94529724e-01 3.12536150e-14 3.17561000e-13 5.47022931e-03]\n  [9.92105126e-01 4.96292020e-15 1.67610338e-13 7.89490435e-03]\n  [9.89493608e-01 5.40257350e-15 3.55480131e-13 1.05064278e-02]\n  [9.90579784e-01 1.04279020e-15 1.12804893e-13 9.42017697e-03]]\n\n ...\n\n [[9.09236610e-01 1.20574196e-05 4.15894683e-05 9.07097533e-02]\n  [9.13887978e-01 1.42310398e-07 9.31286252e-07 8.61109048e-02]\n  [9.22283351e-01 3.92335160e-08 3.79031633e-07 7.77163357e-02]\n  [9.24460471e-01 4.91385883e-08 5.26509098e-07 7.55389854e-02]\n  [9.23779905e-01 5.45098437e-08 5.79190782e-07 7.62195364e-02]]\n\n [[9.00601745e-01 2.35717216e-05 7.73769789e-05 9.92972404e-02]\n  [9.11755264e-01 3.55507893e-07 1.92326024e-06 8.82424712e-02]\n  [9.23353553e-01 1.12671913e-07 8.44813030e-07 7.66454861e-02]\n  [9.20970500e-01 1.35453988e-07 1.12263774e-06 7.90282860e-02]\n  [9.19499338e-01 1.40343261e-07 1.25423207e-06 8.04993883e-02]]\n\n [[8.64181638e-01 3.57298064e-04 9.37500736e-04 1.34523600e-01]\n  [9.14225996e-01 2.13388812e-05 6.64072795e-05 8.56862068e-02]\n  [9.28388774e-01 1.16943320e-05 4.10683715e-05 7.15584978e-02]\n  [9.24405038e-01 1.43120633e-05 5.20448557e-05 7.55286142e-02]\n  [9.19051349e-01 1.57042159e-05 5.79790940e-05 8.08750540e-02]]]\nPredicted mask after argmax for 2008_001062: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001062 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001062. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001062: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69848752e-01 1.52681355e-06 3.19375454e-06 3.01464368e-02]\n  [9.84960377e-01 4.03402689e-09 7.70921815e-09 1.50396135e-02]\n  [9.89680827e-01 2.85651558e-10 8.65946814e-10 1.03191733e-02]\n  [9.90946531e-01 9.75610009e-11 4.06919970e-10 9.05351061e-03]\n  [9.92832541e-01 2.30677231e-11 1.18698357e-10 7.16741150e-03]]\n\n [[9.88785148e-01 1.85300209e-09 7.96120414e-09 1.12148793e-02]\n  [9.88843083e-01 8.65148068e-13 4.08456819e-12 1.11568999e-02]\n  [9.87340748e-01 8.08398894e-14 7.56822339e-13 1.26592992e-02]\n  [9.86997128e-01 5.03284988e-14 7.95825916e-13 1.30028166e-02]\n  [9.88564074e-01 9.84560266e-15 2.31579431e-13 1.14359381e-02]]\n\n [[9.95249152e-01 8.29809971e-11 5.84586657e-10 4.75080824e-03]\n  [9.94529724e-01 3.12536150e-14 3.17561000e-13 5.47022931e-03]\n  [9.92105126e-01 4.96292020e-15 1.67610338e-13 7.89490435e-03]\n  [9.89493608e-01 5.40257350e-15 3.55480131e-13 1.05064278e-02]\n  [9.90579784e-01 1.04279020e-15 1.12804893e-13 9.42017697e-03]]\n\n ...\n\n [[9.09236610e-01 1.20574196e-05 4.15894683e-05 9.07097533e-02]\n  [9.13887978e-01 1.42310398e-07 9.31286252e-07 8.61109048e-02]\n  [9.22283351e-01 3.92335160e-08 3.79031633e-07 7.77163357e-02]\n  [9.24460471e-01 4.91385883e-08 5.26509098e-07 7.55389854e-02]\n  [9.23779905e-01 5.45098437e-08 5.79190782e-07 7.62195364e-02]]\n\n [[9.00601745e-01 2.35717216e-05 7.73769789e-05 9.92972404e-02]\n  [9.11755264e-01 3.55507893e-07 1.92326024e-06 8.82424712e-02]\n  [9.23353553e-01 1.12671913e-07 8.44813030e-07 7.66454861e-02]\n  [9.20970500e-01 1.35453988e-07 1.12263774e-06 7.90282860e-02]\n  [9.19499338e-01 1.40343261e-07 1.25423207e-06 8.04993883e-02]]\n\n [[8.64181638e-01 3.57298064e-04 9.37500736e-04 1.34523600e-01]\n  [9.14225996e-01 2.13388812e-05 6.64072795e-05 8.56862068e-02]\n  [9.28388774e-01 1.16943320e-05 4.10683715e-05 7.15584978e-02]\n  [9.24405038e-01 1.43120633e-05 5.20448557e-05 7.55286142e-02]\n  [9.19051349e-01 1.57042159e-05 5.79790940e-05 8.08750540e-02]]]\nPredicted mask after argmax for 2008_001062: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001062 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001062. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001062: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69848752e-01 1.52681355e-06 3.19375454e-06 3.01464368e-02]\n  [9.84960377e-01 4.03402689e-09 7.70921815e-09 1.50396135e-02]\n  [9.89680827e-01 2.85651558e-10 8.65946814e-10 1.03191733e-02]\n  [9.90946531e-01 9.75610009e-11 4.06919970e-10 9.05351061e-03]\n  [9.92832541e-01 2.30677231e-11 1.18698357e-10 7.16741150e-03]]\n\n [[9.88785148e-01 1.85300209e-09 7.96120414e-09 1.12148793e-02]\n  [9.88843083e-01 8.65148068e-13 4.08456819e-12 1.11568999e-02]\n  [9.87340748e-01 8.08398894e-14 7.56822339e-13 1.26592992e-02]\n  [9.86997128e-01 5.03284988e-14 7.95825916e-13 1.30028166e-02]\n  [9.88564074e-01 9.84560266e-15 2.31579431e-13 1.14359381e-02]]\n\n [[9.95249152e-01 8.29809971e-11 5.84586657e-10 4.75080824e-03]\n  [9.94529724e-01 3.12536150e-14 3.17561000e-13 5.47022931e-03]\n  [9.92105126e-01 4.96292020e-15 1.67610338e-13 7.89490435e-03]\n  [9.89493608e-01 5.40257350e-15 3.55480131e-13 1.05064278e-02]\n  [9.90579784e-01 1.04279020e-15 1.12804893e-13 9.42017697e-03]]\n\n ...\n\n [[9.09236610e-01 1.20574196e-05 4.15894683e-05 9.07097533e-02]\n  [9.13887978e-01 1.42310398e-07 9.31286252e-07 8.61109048e-02]\n  [9.22283351e-01 3.92335160e-08 3.79031633e-07 7.77163357e-02]\n  [9.24460471e-01 4.91385883e-08 5.26509098e-07 7.55389854e-02]\n  [9.23779905e-01 5.45098437e-08 5.79190782e-07 7.62195364e-02]]\n\n [[9.00601745e-01 2.35717216e-05 7.73769789e-05 9.92972404e-02]\n  [9.11755264e-01 3.55507893e-07 1.92326024e-06 8.82424712e-02]\n  [9.23353553e-01 1.12671913e-07 8.44813030e-07 7.66454861e-02]\n  [9.20970500e-01 1.35453988e-07 1.12263774e-06 7.90282860e-02]\n  [9.19499338e-01 1.40343261e-07 1.25423207e-06 8.04993883e-02]]\n\n [[8.64181638e-01 3.57298064e-04 9.37500736e-04 1.34523600e-01]\n  [9.14225996e-01 2.13388812e-05 6.64072795e-05 8.56862068e-02]\n  [9.28388774e-01 1.16943320e-05 4.10683715e-05 7.15584978e-02]\n  [9.24405038e-01 1.43120633e-05 5.20448557e-05 7.55286142e-02]\n  [9.19051349e-01 1.57042159e-05 5.79790940e-05 8.08750540e-02]]]\nPredicted mask after argmax for 2008_001062: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001062 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001062. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001068.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_001068: (1, 256, 256, 4)\nSome predicted mask values: [[[9.49587941e-01 7.59395380e-06 1.48422141e-05 5.03896400e-02]\n  [9.73124981e-01 2.54314312e-08 6.31204884e-08 2.68749334e-02]\n  [9.79721069e-01 2.71749556e-09 1.09467875e-08 2.02789046e-02]\n  [9.79213655e-01 2.35218400e-09 1.14031398e-08 2.07863674e-02]\n  [9.78544056e-01 1.91949034e-09 1.03746487e-08 2.14559715e-02]]\n\n [[9.79416549e-01 1.69948322e-08 6.87863562e-08 2.05833372e-02]\n  [9.82037008e-01 1.21114464e-11 6.38615896e-11 1.79630574e-02]\n  [9.82172132e-01 1.21774357e-12 1.34242938e-11 1.78279709e-02]\n  [9.79675531e-01 1.73086361e-12 2.72125638e-11 2.03245059e-02]\n  [9.78590846e-01 1.36498386e-12 2.80792334e-11 2.14091744e-02]]\n\n [[9.89139259e-01 1.70670011e-09 1.06814841e-08 1.08608138e-02]\n  [9.89223003e-01 1.00237917e-12 9.94144784e-12 1.07770460e-02]\n  [9.87395465e-01 1.35655064e-13 3.85729729e-12 1.26044527e-02]\n  [9.83275592e-01 2.21715007e-13 9.95300890e-12 1.67244375e-02]\n  [9.83481348e-01 1.29027770e-13 7.75106715e-12 1.65186469e-02]]\n\n ...\n\n [[9.65861797e-01 3.01251163e-07 1.31269019e-06 3.41366492e-02]\n  [9.57021892e-01 2.04867634e-09 1.36370124e-08 4.29781005e-02]\n  [9.58926439e-01 4.55950611e-10 7.00260605e-09 4.10735793e-02]\n  [9.58357215e-01 4.87756446e-10 9.89444437e-09 4.16427739e-02]\n  [9.60083544e-01 3.55983215e-10 8.10229484e-09 3.99165154e-02]]\n\n [[9.54420209e-01 1.18774619e-06 4.61552690e-06 4.55740467e-02]\n  [9.52524841e-01 9.55869783e-09 5.13356042e-08 4.74751405e-02]\n  [9.60199594e-01 2.27804753e-09 2.49872318e-08 3.98004353e-02]\n  [9.57769930e-01 2.30214403e-09 3.20040314e-08 4.22300622e-02]\n  [9.55192983e-01 1.89242289e-09 3.24159188e-08 4.48069833e-02]]\n\n [[9.20566797e-01 4.84301199e-05 1.51076267e-04 7.92336464e-02]\n  [9.52380061e-01 1.52461234e-06 5.85367934e-06 4.76126224e-02]\n  [9.59061503e-01 8.24088431e-07 3.59538080e-06 4.09341231e-02]\n  [9.56667483e-01 1.02877959e-06 5.02205739e-06 4.33264449e-02]\n  [9.50254560e-01 1.10366921e-06 5.84506142e-06 4.97384146e-02]]]\nPredicted mask after argmax for 2008_001068: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001068 has shape: (345, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001068. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001068.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_001068: (1, 256, 256, 4)\nSome predicted mask values: [[[9.49587941e-01 7.59395380e-06 1.48422141e-05 5.03896400e-02]\n  [9.73124981e-01 2.54314312e-08 6.31204884e-08 2.68749334e-02]\n  [9.79721069e-01 2.71749556e-09 1.09467875e-08 2.02789046e-02]\n  [9.79213655e-01 2.35218400e-09 1.14031398e-08 2.07863674e-02]\n  [9.78544056e-01 1.91949034e-09 1.03746487e-08 2.14559715e-02]]\n\n [[9.79416549e-01 1.69948322e-08 6.87863562e-08 2.05833372e-02]\n  [9.82037008e-01 1.21114464e-11 6.38615896e-11 1.79630574e-02]\n  [9.82172132e-01 1.21774357e-12 1.34242938e-11 1.78279709e-02]\n  [9.79675531e-01 1.73086361e-12 2.72125638e-11 2.03245059e-02]\n  [9.78590846e-01 1.36498386e-12 2.80792334e-11 2.14091744e-02]]\n\n [[9.89139259e-01 1.70670011e-09 1.06814841e-08 1.08608138e-02]\n  [9.89223003e-01 1.00237917e-12 9.94144784e-12 1.07770460e-02]\n  [9.87395465e-01 1.35655064e-13 3.85729729e-12 1.26044527e-02]\n  [9.83275592e-01 2.21715007e-13 9.95300890e-12 1.67244375e-02]\n  [9.83481348e-01 1.29027770e-13 7.75106715e-12 1.65186469e-02]]\n\n ...\n\n [[9.65861797e-01 3.01251163e-07 1.31269019e-06 3.41366492e-02]\n  [9.57021892e-01 2.04867634e-09 1.36370124e-08 4.29781005e-02]\n  [9.58926439e-01 4.55950611e-10 7.00260605e-09 4.10735793e-02]\n  [9.58357215e-01 4.87756446e-10 9.89444437e-09 4.16427739e-02]\n  [9.60083544e-01 3.55983215e-10 8.10229484e-09 3.99165154e-02]]\n\n [[9.54420209e-01 1.18774619e-06 4.61552690e-06 4.55740467e-02]\n  [9.52524841e-01 9.55869783e-09 5.13356042e-08 4.74751405e-02]\n  [9.60199594e-01 2.27804753e-09 2.49872318e-08 3.98004353e-02]\n  [9.57769930e-01 2.30214403e-09 3.20040314e-08 4.22300622e-02]\n  [9.55192983e-01 1.89242289e-09 3.24159188e-08 4.48069833e-02]]\n\n [[9.20566797e-01 4.84301199e-05 1.51076267e-04 7.92336464e-02]\n  [9.52380061e-01 1.52461234e-06 5.85367934e-06 4.76126224e-02]\n  [9.59061503e-01 8.24088431e-07 3.59538080e-06 4.09341231e-02]\n  [9.56667483e-01 1.02877959e-06 5.02205739e-06 4.33264449e-02]\n  [9.50254560e-01 1.10366921e-06 5.84506142e-06 4.97384146e-02]]]\nPredicted mask after argmax for 2008_001068: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001068 has shape: (345, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001068. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001068.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_001068: (1, 256, 256, 4)\nSome predicted mask values: [[[9.49587941e-01 7.59395380e-06 1.48422141e-05 5.03896400e-02]\n  [9.73124981e-01 2.54314312e-08 6.31204884e-08 2.68749334e-02]\n  [9.79721069e-01 2.71749556e-09 1.09467875e-08 2.02789046e-02]\n  [9.79213655e-01 2.35218400e-09 1.14031398e-08 2.07863674e-02]\n  [9.78544056e-01 1.91949034e-09 1.03746487e-08 2.14559715e-02]]\n\n [[9.79416549e-01 1.69948322e-08 6.87863562e-08 2.05833372e-02]\n  [9.82037008e-01 1.21114464e-11 6.38615896e-11 1.79630574e-02]\n  [9.82172132e-01 1.21774357e-12 1.34242938e-11 1.78279709e-02]\n  [9.79675531e-01 1.73086361e-12 2.72125638e-11 2.03245059e-02]\n  [9.78590846e-01 1.36498386e-12 2.80792334e-11 2.14091744e-02]]\n\n [[9.89139259e-01 1.70670011e-09 1.06814841e-08 1.08608138e-02]\n  [9.89223003e-01 1.00237917e-12 9.94144784e-12 1.07770460e-02]\n  [9.87395465e-01 1.35655064e-13 3.85729729e-12 1.26044527e-02]\n  [9.83275592e-01 2.21715007e-13 9.95300890e-12 1.67244375e-02]\n  [9.83481348e-01 1.29027770e-13 7.75106715e-12 1.65186469e-02]]\n\n ...\n\n [[9.65861797e-01 3.01251163e-07 1.31269019e-06 3.41366492e-02]\n  [9.57021892e-01 2.04867634e-09 1.36370124e-08 4.29781005e-02]\n  [9.58926439e-01 4.55950611e-10 7.00260605e-09 4.10735793e-02]\n  [9.58357215e-01 4.87756446e-10 9.89444437e-09 4.16427739e-02]\n  [9.60083544e-01 3.55983215e-10 8.10229484e-09 3.99165154e-02]]\n\n [[9.54420209e-01 1.18774619e-06 4.61552690e-06 4.55740467e-02]\n  [9.52524841e-01 9.55869783e-09 5.13356042e-08 4.74751405e-02]\n  [9.60199594e-01 2.27804753e-09 2.49872318e-08 3.98004353e-02]\n  [9.57769930e-01 2.30214403e-09 3.20040314e-08 4.22300622e-02]\n  [9.55192983e-01 1.89242289e-09 3.24159188e-08 4.48069833e-02]]\n\n [[9.20566797e-01 4.84301199e-05 1.51076267e-04 7.92336464e-02]\n  [9.52380061e-01 1.52461234e-06 5.85367934e-06 4.76126224e-02]\n  [9.59061503e-01 8.24088431e-07 3.59538080e-06 4.09341231e-02]\n  [9.56667483e-01 1.02877959e-06 5.02205739e-06 4.33264449e-02]\n  [9.50254560e-01 1.10366921e-06 5.84506142e-06 4.97384146e-02]]]\nPredicted mask after argmax for 2008_001068: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001068 has shape: (345, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001068. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001068.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001068: (1, 256, 256, 4)\nSome predicted mask values: [[[9.49587941e-01 7.59395380e-06 1.48422141e-05 5.03896400e-02]\n  [9.73124981e-01 2.54314312e-08 6.31204884e-08 2.68749334e-02]\n  [9.79721069e-01 2.71749556e-09 1.09467875e-08 2.02789046e-02]\n  [9.79213655e-01 2.35218400e-09 1.14031398e-08 2.07863674e-02]\n  [9.78544056e-01 1.91949034e-09 1.03746487e-08 2.14559715e-02]]\n\n [[9.79416549e-01 1.69948322e-08 6.87863562e-08 2.05833372e-02]\n  [9.82037008e-01 1.21114464e-11 6.38615896e-11 1.79630574e-02]\n  [9.82172132e-01 1.21774357e-12 1.34242938e-11 1.78279709e-02]\n  [9.79675531e-01 1.73086361e-12 2.72125638e-11 2.03245059e-02]\n  [9.78590846e-01 1.36498386e-12 2.80792334e-11 2.14091744e-02]]\n\n [[9.89139259e-01 1.70670011e-09 1.06814841e-08 1.08608138e-02]\n  [9.89223003e-01 1.00237917e-12 9.94144784e-12 1.07770460e-02]\n  [9.87395465e-01 1.35655064e-13 3.85729729e-12 1.26044527e-02]\n  [9.83275592e-01 2.21715007e-13 9.95300890e-12 1.67244375e-02]\n  [9.83481348e-01 1.29027770e-13 7.75106715e-12 1.65186469e-02]]\n\n ...\n\n [[9.65861797e-01 3.01251163e-07 1.31269019e-06 3.41366492e-02]\n  [9.57021892e-01 2.04867634e-09 1.36370124e-08 4.29781005e-02]\n  [9.58926439e-01 4.55950611e-10 7.00260605e-09 4.10735793e-02]\n  [9.58357215e-01 4.87756446e-10 9.89444437e-09 4.16427739e-02]\n  [9.60083544e-01 3.55983215e-10 8.10229484e-09 3.99165154e-02]]\n\n [[9.54420209e-01 1.18774619e-06 4.61552690e-06 4.55740467e-02]\n  [9.52524841e-01 9.55869783e-09 5.13356042e-08 4.74751405e-02]\n  [9.60199594e-01 2.27804753e-09 2.49872318e-08 3.98004353e-02]\n  [9.57769930e-01 2.30214403e-09 3.20040314e-08 4.22300622e-02]\n  [9.55192983e-01 1.89242289e-09 3.24159188e-08 4.48069833e-02]]\n\n [[9.20566797e-01 4.84301199e-05 1.51076267e-04 7.92336464e-02]\n  [9.52380061e-01 1.52461234e-06 5.85367934e-06 4.76126224e-02]\n  [9.59061503e-01 8.24088431e-07 3.59538080e-06 4.09341231e-02]\n  [9.56667483e-01 1.02877959e-06 5.02205739e-06 4.33264449e-02]\n  [9.50254560e-01 1.10366921e-06 5.84506142e-06 4.97384146e-02]]]\nPredicted mask after argmax for 2008_001068: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001068 has shape: (345, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001068. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001070.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001070: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53007340e-01 8.85002191e-06 1.67848484e-05 4.69669923e-02]\n  [9.71536338e-01 6.49599414e-08 1.18840852e-07 2.84634959e-02]\n  [9.77056086e-01 1.05161826e-08 3.03211820e-08 2.29438674e-02]\n  [9.76305485e-01 9.05625352e-09 3.34589529e-08 2.36945804e-02]\n  [9.76471603e-01 6.07533091e-09 2.59734616e-08 2.35283300e-02]]\n\n [[9.80932057e-01 2.20413092e-08 7.99524003e-08 1.90678034e-02]\n  [9.79833007e-01 3.71037055e-11 1.49206300e-10 2.01670080e-02]\n  [9.76421297e-01 7.70185651e-12 6.01930311e-11 2.35787183e-02]\n  [9.72590625e-01 1.26689197e-11 1.48122084e-10 2.74093729e-02]\n  [9.71279263e-01 8.87128912e-12 1.38909342e-10 2.87207644e-02]]\n\n [[9.90919590e-01 1.45105905e-09 8.06740363e-09 9.08044539e-03]\n  [9.89251137e-01 1.77513917e-12 1.36407222e-11 1.07488846e-02]\n  [9.84814227e-01 5.32642019e-13 1.16730748e-11 1.51857687e-02]\n  [9.77884948e-01 1.31822624e-12 4.68725024e-11 2.21150424e-02]\n  [9.77229238e-01 8.08538024e-13 3.94060895e-11 2.27707680e-02]]\n\n ...\n\n [[9.34090793e-01 8.46366675e-06 2.68543390e-05 6.58738464e-02]\n  [9.16850567e-01 2.30671972e-07 9.83287919e-07 8.31482336e-02]\n  [9.18319583e-01 9.99646517e-08 7.77264745e-07 8.16795453e-02]\n  [9.15035188e-01 1.27377220e-07 1.17666627e-06 8.49634856e-02]\n  [9.15923655e-01 1.10549067e-07 1.10828546e-06 8.40751305e-02]]\n\n [[9.16023016e-01 2.73269889e-05 7.76973757e-05 8.38719755e-02]\n  [9.08097506e-01 9.34226193e-07 3.33537923e-06 9.18981507e-02]\n  [9.16696012e-01 4.40492414e-07 2.60796651e-06 8.33009183e-02]\n  [9.11818683e-01 5.48960372e-07 3.78232153e-06 8.81769657e-02]\n  [9.04618025e-01 5.23893789e-07 4.05840910e-06 9.53773186e-02]]\n\n [[8.73300374e-01 4.58074384e-04 1.09281030e-03 1.25148788e-01]\n  [9.10372198e-01 4.19714925e-05 1.16424584e-04 8.94694030e-02]\n  [9.16084528e-01 3.50304872e-05 1.04664337e-04 8.37757960e-02]\n  [9.10921335e-01 4.59760340e-05 1.47816769e-04 8.88849944e-02]\n  [9.00849044e-01 4.89060585e-05 1.64999394e-04 9.89371911e-02]]]\nPredicted mask after argmax for 2008_001070: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001070 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001070. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001070.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001070: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53007340e-01 8.85002191e-06 1.67848484e-05 4.69669923e-02]\n  [9.71536338e-01 6.49599414e-08 1.18840852e-07 2.84634959e-02]\n  [9.77056086e-01 1.05161826e-08 3.03211820e-08 2.29438674e-02]\n  [9.76305485e-01 9.05625352e-09 3.34589529e-08 2.36945804e-02]\n  [9.76471603e-01 6.07533091e-09 2.59734616e-08 2.35283300e-02]]\n\n [[9.80932057e-01 2.20413092e-08 7.99524003e-08 1.90678034e-02]\n  [9.79833007e-01 3.71037055e-11 1.49206300e-10 2.01670080e-02]\n  [9.76421297e-01 7.70185651e-12 6.01930311e-11 2.35787183e-02]\n  [9.72590625e-01 1.26689197e-11 1.48122084e-10 2.74093729e-02]\n  [9.71279263e-01 8.87128912e-12 1.38909342e-10 2.87207644e-02]]\n\n [[9.90919590e-01 1.45105905e-09 8.06740363e-09 9.08044539e-03]\n  [9.89251137e-01 1.77513917e-12 1.36407222e-11 1.07488846e-02]\n  [9.84814227e-01 5.32642019e-13 1.16730748e-11 1.51857687e-02]\n  [9.77884948e-01 1.31822624e-12 4.68725024e-11 2.21150424e-02]\n  [9.77229238e-01 8.08538024e-13 3.94060895e-11 2.27707680e-02]]\n\n ...\n\n [[9.34090793e-01 8.46366675e-06 2.68543390e-05 6.58738464e-02]\n  [9.16850567e-01 2.30671972e-07 9.83287919e-07 8.31482336e-02]\n  [9.18319583e-01 9.99646517e-08 7.77264745e-07 8.16795453e-02]\n  [9.15035188e-01 1.27377220e-07 1.17666627e-06 8.49634856e-02]\n  [9.15923655e-01 1.10549067e-07 1.10828546e-06 8.40751305e-02]]\n\n [[9.16023016e-01 2.73269889e-05 7.76973757e-05 8.38719755e-02]\n  [9.08097506e-01 9.34226193e-07 3.33537923e-06 9.18981507e-02]\n  [9.16696012e-01 4.40492414e-07 2.60796651e-06 8.33009183e-02]\n  [9.11818683e-01 5.48960372e-07 3.78232153e-06 8.81769657e-02]\n  [9.04618025e-01 5.23893789e-07 4.05840910e-06 9.53773186e-02]]\n\n [[8.73300374e-01 4.58074384e-04 1.09281030e-03 1.25148788e-01]\n  [9.10372198e-01 4.19714925e-05 1.16424584e-04 8.94694030e-02]\n  [9.16084528e-01 3.50304872e-05 1.04664337e-04 8.37757960e-02]\n  [9.10921335e-01 4.59760340e-05 1.47816769e-04 8.88849944e-02]\n  [9.00849044e-01 4.89060585e-05 1.64999394e-04 9.89371911e-02]]]\nPredicted mask after argmax for 2008_001070: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001070 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001070. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001071.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001071: (1, 256, 256, 4)\nSome predicted mask values: [[[9.29920554e-01 4.44720608e-05 7.66513404e-05 6.99583218e-02]\n  [9.53221023e-01 6.20493950e-07 1.09894427e-06 4.67773192e-02]\n  [9.60713387e-01 1.21884526e-07 3.33018846e-07 3.92861962e-02]\n  [9.60080266e-01 1.03617175e-07 3.53292421e-07 3.99193279e-02]\n  [9.60054994e-01 7.33907299e-08 2.82346321e-07 3.99446562e-02]]\n\n [[9.69224274e-01 2.19431968e-07 6.80929645e-07 3.07748280e-02]\n  [9.67493057e-01 8.31438418e-10 2.94135316e-09 3.25069688e-02]\n  [9.63890970e-01 1.85615731e-10 1.24252741e-09 3.61090973e-02]\n  [9.59509552e-01 2.56945326e-10 2.46618459e-09 4.04905267e-02]\n  [9.58526850e-01 1.72657902e-10 2.16714091e-09 4.14731130e-02]]\n\n [[9.83610511e-01 2.02749728e-08 9.02543107e-08 1.63893346e-02]\n  [9.80863094e-01 5.66367404e-11 3.44324902e-10 1.91368759e-02]\n  [9.75288570e-01 1.67743545e-11 2.66154793e-10 2.47114412e-02]\n  [9.67745006e-01 2.85831064e-11 6.89797552e-10 3.22550051e-02]\n  [9.68272448e-01 1.56294751e-11 5.05190278e-10 3.17275375e-02]]\n\n ...\n\n [[9.44308758e-01 1.68140002e-06 6.75245155e-06 5.56828082e-02]\n  [9.39395964e-01 1.48748089e-08 1.04450393e-07 6.06039129e-02]\n  [9.39394832e-01 5.17227861e-09 6.09378574e-08 6.06050529e-02]\n  [9.36897218e-01 1.01059365e-08 1.35492428e-07 6.31026626e-02]\n  [9.32605982e-01 1.74195804e-08 2.25089408e-07 6.73937798e-02]]\n\n [[9.33879375e-01 4.51825190e-06 1.68001534e-05 6.60992712e-02]\n  [9.35843766e-01 5.19758174e-08 2.93359221e-07 6.41558990e-02]\n  [9.42305684e-01 1.99409591e-08 1.75807344e-07 5.76940775e-02]\n  [9.35551047e-01 3.76092579e-08 3.60633663e-07 6.44486323e-02]\n  [9.27516758e-01 6.54010250e-08 6.48011962e-07 7.24824592e-02]]\n\n [[8.98245811e-01 1.15560098e-04 3.37507285e-04 1.01301089e-01]\n  [9.37464714e-01 5.16230375e-06 1.80787993e-05 6.25120476e-02]\n  [9.45767403e-01 3.51036101e-06 1.34160200e-05 5.42157143e-02]\n  [9.40225899e-01 6.05742298e-06 2.38994762e-05 5.97441718e-02]\n  [9.30380166e-01 9.75220973e-06 3.82417202e-05 6.95717707e-02]]]\nPredicted mask after argmax for 2008_001071: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001071 has shape: (312, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001071. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001071.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001071: (1, 256, 256, 4)\nSome predicted mask values: [[[9.29920554e-01 4.44720608e-05 7.66513404e-05 6.99583218e-02]\n  [9.53221023e-01 6.20493950e-07 1.09894427e-06 4.67773192e-02]\n  [9.60713387e-01 1.21884526e-07 3.33018846e-07 3.92861962e-02]\n  [9.60080266e-01 1.03617175e-07 3.53292421e-07 3.99193279e-02]\n  [9.60054994e-01 7.33907299e-08 2.82346321e-07 3.99446562e-02]]\n\n [[9.69224274e-01 2.19431968e-07 6.80929645e-07 3.07748280e-02]\n  [9.67493057e-01 8.31438418e-10 2.94135316e-09 3.25069688e-02]\n  [9.63890970e-01 1.85615731e-10 1.24252741e-09 3.61090973e-02]\n  [9.59509552e-01 2.56945326e-10 2.46618459e-09 4.04905267e-02]\n  [9.58526850e-01 1.72657902e-10 2.16714091e-09 4.14731130e-02]]\n\n [[9.83610511e-01 2.02749728e-08 9.02543107e-08 1.63893346e-02]\n  [9.80863094e-01 5.66367404e-11 3.44324902e-10 1.91368759e-02]\n  [9.75288570e-01 1.67743545e-11 2.66154793e-10 2.47114412e-02]\n  [9.67745006e-01 2.85831064e-11 6.89797552e-10 3.22550051e-02]\n  [9.68272448e-01 1.56294751e-11 5.05190278e-10 3.17275375e-02]]\n\n ...\n\n [[9.44308758e-01 1.68140002e-06 6.75245155e-06 5.56828082e-02]\n  [9.39395964e-01 1.48748089e-08 1.04450393e-07 6.06039129e-02]\n  [9.39394832e-01 5.17227861e-09 6.09378574e-08 6.06050529e-02]\n  [9.36897218e-01 1.01059365e-08 1.35492428e-07 6.31026626e-02]\n  [9.32605982e-01 1.74195804e-08 2.25089408e-07 6.73937798e-02]]\n\n [[9.33879375e-01 4.51825190e-06 1.68001534e-05 6.60992712e-02]\n  [9.35843766e-01 5.19758174e-08 2.93359221e-07 6.41558990e-02]\n  [9.42305684e-01 1.99409591e-08 1.75807344e-07 5.76940775e-02]\n  [9.35551047e-01 3.76092579e-08 3.60633663e-07 6.44486323e-02]\n  [9.27516758e-01 6.54010250e-08 6.48011962e-07 7.24824592e-02]]\n\n [[8.98245811e-01 1.15560098e-04 3.37507285e-04 1.01301089e-01]\n  [9.37464714e-01 5.16230375e-06 1.80787993e-05 6.25120476e-02]\n  [9.45767403e-01 3.51036101e-06 1.34160200e-05 5.42157143e-02]\n  [9.40225899e-01 6.05742298e-06 2.38994762e-05 5.97441718e-02]\n  [9.30380166e-01 9.75220973e-06 3.82417202e-05 6.95717707e-02]]]\nPredicted mask after argmax for 2008_001071: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001071 has shape: (312, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001071. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001071.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001071: (1, 256, 256, 4)\nSome predicted mask values: [[[9.29920554e-01 4.44720608e-05 7.66513404e-05 6.99583218e-02]\n  [9.53221023e-01 6.20493950e-07 1.09894427e-06 4.67773192e-02]\n  [9.60713387e-01 1.21884526e-07 3.33018846e-07 3.92861962e-02]\n  [9.60080266e-01 1.03617175e-07 3.53292421e-07 3.99193279e-02]\n  [9.60054994e-01 7.33907299e-08 2.82346321e-07 3.99446562e-02]]\n\n [[9.69224274e-01 2.19431968e-07 6.80929645e-07 3.07748280e-02]\n  [9.67493057e-01 8.31438418e-10 2.94135316e-09 3.25069688e-02]\n  [9.63890970e-01 1.85615731e-10 1.24252741e-09 3.61090973e-02]\n  [9.59509552e-01 2.56945326e-10 2.46618459e-09 4.04905267e-02]\n  [9.58526850e-01 1.72657902e-10 2.16714091e-09 4.14731130e-02]]\n\n [[9.83610511e-01 2.02749728e-08 9.02543107e-08 1.63893346e-02]\n  [9.80863094e-01 5.66367404e-11 3.44324902e-10 1.91368759e-02]\n  [9.75288570e-01 1.67743545e-11 2.66154793e-10 2.47114412e-02]\n  [9.67745006e-01 2.85831064e-11 6.89797552e-10 3.22550051e-02]\n  [9.68272448e-01 1.56294751e-11 5.05190278e-10 3.17275375e-02]]\n\n ...\n\n [[9.44308758e-01 1.68140002e-06 6.75245155e-06 5.56828082e-02]\n  [9.39395964e-01 1.48748089e-08 1.04450393e-07 6.06039129e-02]\n  [9.39394832e-01 5.17227861e-09 6.09378574e-08 6.06050529e-02]\n  [9.36897218e-01 1.01059365e-08 1.35492428e-07 6.31026626e-02]\n  [9.32605982e-01 1.74195804e-08 2.25089408e-07 6.73937798e-02]]\n\n [[9.33879375e-01 4.51825190e-06 1.68001534e-05 6.60992712e-02]\n  [9.35843766e-01 5.19758174e-08 2.93359221e-07 6.41558990e-02]\n  [9.42305684e-01 1.99409591e-08 1.75807344e-07 5.76940775e-02]\n  [9.35551047e-01 3.76092579e-08 3.60633663e-07 6.44486323e-02]\n  [9.27516758e-01 6.54010250e-08 6.48011962e-07 7.24824592e-02]]\n\n [[8.98245811e-01 1.15560098e-04 3.37507285e-04 1.01301089e-01]\n  [9.37464714e-01 5.16230375e-06 1.80787993e-05 6.25120476e-02]\n  [9.45767403e-01 3.51036101e-06 1.34160200e-05 5.42157143e-02]\n  [9.40225899e-01 6.05742298e-06 2.38994762e-05 5.97441718e-02]\n  [9.30380166e-01 9.75220973e-06 3.82417202e-05 6.95717707e-02]]]\nPredicted mask after argmax for 2008_001071: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001071 has shape: (312, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001071. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001071.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001071: (1, 256, 256, 4)\nSome predicted mask values: [[[9.29920554e-01 4.44720608e-05 7.66513404e-05 6.99583218e-02]\n  [9.53221023e-01 6.20493950e-07 1.09894427e-06 4.67773192e-02]\n  [9.60713387e-01 1.21884526e-07 3.33018846e-07 3.92861962e-02]\n  [9.60080266e-01 1.03617175e-07 3.53292421e-07 3.99193279e-02]\n  [9.60054994e-01 7.33907299e-08 2.82346321e-07 3.99446562e-02]]\n\n [[9.69224274e-01 2.19431968e-07 6.80929645e-07 3.07748280e-02]\n  [9.67493057e-01 8.31438418e-10 2.94135316e-09 3.25069688e-02]\n  [9.63890970e-01 1.85615731e-10 1.24252741e-09 3.61090973e-02]\n  [9.59509552e-01 2.56945326e-10 2.46618459e-09 4.04905267e-02]\n  [9.58526850e-01 1.72657902e-10 2.16714091e-09 4.14731130e-02]]\n\n [[9.83610511e-01 2.02749728e-08 9.02543107e-08 1.63893346e-02]\n  [9.80863094e-01 5.66367404e-11 3.44324902e-10 1.91368759e-02]\n  [9.75288570e-01 1.67743545e-11 2.66154793e-10 2.47114412e-02]\n  [9.67745006e-01 2.85831064e-11 6.89797552e-10 3.22550051e-02]\n  [9.68272448e-01 1.56294751e-11 5.05190278e-10 3.17275375e-02]]\n\n ...\n\n [[9.44308758e-01 1.68140002e-06 6.75245155e-06 5.56828082e-02]\n  [9.39395964e-01 1.48748089e-08 1.04450393e-07 6.06039129e-02]\n  [9.39394832e-01 5.17227861e-09 6.09378574e-08 6.06050529e-02]\n  [9.36897218e-01 1.01059365e-08 1.35492428e-07 6.31026626e-02]\n  [9.32605982e-01 1.74195804e-08 2.25089408e-07 6.73937798e-02]]\n\n [[9.33879375e-01 4.51825190e-06 1.68001534e-05 6.60992712e-02]\n  [9.35843766e-01 5.19758174e-08 2.93359221e-07 6.41558990e-02]\n  [9.42305684e-01 1.99409591e-08 1.75807344e-07 5.76940775e-02]\n  [9.35551047e-01 3.76092579e-08 3.60633663e-07 6.44486323e-02]\n  [9.27516758e-01 6.54010250e-08 6.48011962e-07 7.24824592e-02]]\n\n [[8.98245811e-01 1.15560098e-04 3.37507285e-04 1.01301089e-01]\n  [9.37464714e-01 5.16230375e-06 1.80787993e-05 6.25120476e-02]\n  [9.45767403e-01 3.51036101e-06 1.34160200e-05 5.42157143e-02]\n  [9.40225899e-01 6.05742298e-06 2.38994762e-05 5.97441718e-02]\n  [9.30380166e-01 9.75220973e-06 3.82417202e-05 6.95717707e-02]]]\nPredicted mask after argmax for 2008_001071: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001071 has shape: (312, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001071. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001078.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001078: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7751367e-01 2.9880846e-07 7.3249879e-07 2.2485221e-02]\n  [9.9123186e-01 1.6535809e-10 4.5248241e-10 8.7681701e-03]\n  [9.9486876e-01 5.2681214e-12 2.5533842e-11 5.1311892e-03]\n  [9.9513912e-01 2.9116171e-12 1.8827384e-11 4.8608184e-03]\n  [9.9483490e-01 2.6051956e-12 1.8708242e-11 5.1650545e-03]]\n\n [[9.9229610e-01 1.3734146e-10 8.1408646e-10 7.7039097e-03]\n  [9.9427021e-01 6.8157611e-15 5.6048055e-14 5.7298364e-03]\n  [9.9486130e-01 1.6780058e-16 3.3035623e-15 5.1386608e-03]\n  [9.9397850e-01 1.8589161e-16 5.9188596e-15 6.0215439e-03]\n  [9.9299943e-01 1.9645730e-16 8.4653718e-15 7.0006093e-03]]\n\n [[9.9724740e-01 3.4007970e-12 3.8092297e-11 2.7525795e-03]\n  [9.9772722e-01 8.1938123e-17 1.8268804e-15 2.2727924e-03]\n  [9.9711740e-01 2.5646487e-18 2.4025031e-16 2.8826348e-03]\n  [9.9604958e-01 3.3878119e-18 6.2868246e-16 3.9503979e-03]\n  [9.9564868e-01 2.6897246e-18 7.1235921e-16 4.3513509e-03]]\n\n ...\n\n [[8.7664855e-01 1.4221486e-04 3.5145821e-04 1.2285773e-01]\n  [8.6859518e-01 7.1322293e-06 2.4678020e-05 1.3137302e-01]\n  [8.7151587e-01 4.0284222e-06 1.9417052e-05 1.2846066e-01]\n  [8.6686271e-01 5.8835503e-06 3.0593910e-05 1.3310082e-01]\n  [8.6205781e-01 7.3475376e-06 3.8472361e-05 1.3789642e-01]]\n\n [[8.6067379e-01 2.6988360e-04 6.3664175e-04 1.3841972e-01]\n  [8.6233836e-01 1.5754749e-05 4.9042701e-05 1.3759683e-01]\n  [8.7324047e-01 9.2305554e-06 3.8329454e-05 1.2671202e-01]\n  [8.6664063e-01 1.2275293e-05 5.4097174e-05 1.3329297e-01]\n  [8.5726911e-01 1.4420519e-05 6.5522436e-05 1.4265092e-01]]\n\n [[8.1443053e-01 2.1676749e-03 4.3946733e-03 1.7900711e-01]\n  [8.6145377e-01 3.2463888e-04 7.4536394e-04 1.3747618e-01]\n  [8.7093073e-01 2.7451519e-04 6.6980574e-04 1.2812503e-01]\n  [8.6332911e-01 3.4723378e-04 8.6591602e-04 1.3545766e-01]\n  [8.5368460e-01 3.9111241e-04 9.8198024e-04 1.4494237e-01]]]\nPredicted mask after argmax for 2008_001078: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001078 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001078. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001078.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001078: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7751367e-01 2.9880846e-07 7.3249879e-07 2.2485221e-02]\n  [9.9123186e-01 1.6535809e-10 4.5248241e-10 8.7681701e-03]\n  [9.9486876e-01 5.2681214e-12 2.5533842e-11 5.1311892e-03]\n  [9.9513912e-01 2.9116171e-12 1.8827384e-11 4.8608184e-03]\n  [9.9483490e-01 2.6051956e-12 1.8708242e-11 5.1650545e-03]]\n\n [[9.9229610e-01 1.3734146e-10 8.1408646e-10 7.7039097e-03]\n  [9.9427021e-01 6.8157611e-15 5.6048055e-14 5.7298364e-03]\n  [9.9486130e-01 1.6780058e-16 3.3035623e-15 5.1386608e-03]\n  [9.9397850e-01 1.8589161e-16 5.9188596e-15 6.0215439e-03]\n  [9.9299943e-01 1.9645730e-16 8.4653718e-15 7.0006093e-03]]\n\n [[9.9724740e-01 3.4007970e-12 3.8092297e-11 2.7525795e-03]\n  [9.9772722e-01 8.1938123e-17 1.8268804e-15 2.2727924e-03]\n  [9.9711740e-01 2.5646487e-18 2.4025031e-16 2.8826348e-03]\n  [9.9604958e-01 3.3878119e-18 6.2868246e-16 3.9503979e-03]\n  [9.9564868e-01 2.6897246e-18 7.1235921e-16 4.3513509e-03]]\n\n ...\n\n [[8.7664855e-01 1.4221486e-04 3.5145821e-04 1.2285773e-01]\n  [8.6859518e-01 7.1322293e-06 2.4678020e-05 1.3137302e-01]\n  [8.7151587e-01 4.0284222e-06 1.9417052e-05 1.2846066e-01]\n  [8.6686271e-01 5.8835503e-06 3.0593910e-05 1.3310082e-01]\n  [8.6205781e-01 7.3475376e-06 3.8472361e-05 1.3789642e-01]]\n\n [[8.6067379e-01 2.6988360e-04 6.3664175e-04 1.3841972e-01]\n  [8.6233836e-01 1.5754749e-05 4.9042701e-05 1.3759683e-01]\n  [8.7324047e-01 9.2305554e-06 3.8329454e-05 1.2671202e-01]\n  [8.6664063e-01 1.2275293e-05 5.4097174e-05 1.3329297e-01]\n  [8.5726911e-01 1.4420519e-05 6.5522436e-05 1.4265092e-01]]\n\n [[8.1443053e-01 2.1676749e-03 4.3946733e-03 1.7900711e-01]\n  [8.6145377e-01 3.2463888e-04 7.4536394e-04 1.3747618e-01]\n  [8.7093073e-01 2.7451519e-04 6.6980574e-04 1.2812503e-01]\n  [8.6332911e-01 3.4723378e-04 8.6591602e-04 1.3545766e-01]\n  [8.5368460e-01 3.9111241e-04 9.8198024e-04 1.4494237e-01]]]\nPredicted mask after argmax for 2008_001078: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001078 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001078. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001078.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001078: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7751367e-01 2.9880846e-07 7.3249879e-07 2.2485221e-02]\n  [9.9123186e-01 1.6535809e-10 4.5248241e-10 8.7681701e-03]\n  [9.9486876e-01 5.2681214e-12 2.5533842e-11 5.1311892e-03]\n  [9.9513912e-01 2.9116171e-12 1.8827384e-11 4.8608184e-03]\n  [9.9483490e-01 2.6051956e-12 1.8708242e-11 5.1650545e-03]]\n\n [[9.9229610e-01 1.3734146e-10 8.1408646e-10 7.7039097e-03]\n  [9.9427021e-01 6.8157611e-15 5.6048055e-14 5.7298364e-03]\n  [9.9486130e-01 1.6780058e-16 3.3035623e-15 5.1386608e-03]\n  [9.9397850e-01 1.8589161e-16 5.9188596e-15 6.0215439e-03]\n  [9.9299943e-01 1.9645730e-16 8.4653718e-15 7.0006093e-03]]\n\n [[9.9724740e-01 3.4007970e-12 3.8092297e-11 2.7525795e-03]\n  [9.9772722e-01 8.1938123e-17 1.8268804e-15 2.2727924e-03]\n  [9.9711740e-01 2.5646487e-18 2.4025031e-16 2.8826348e-03]\n  [9.9604958e-01 3.3878119e-18 6.2868246e-16 3.9503979e-03]\n  [9.9564868e-01 2.6897246e-18 7.1235921e-16 4.3513509e-03]]\n\n ...\n\n [[8.7664855e-01 1.4221486e-04 3.5145821e-04 1.2285773e-01]\n  [8.6859518e-01 7.1322293e-06 2.4678020e-05 1.3137302e-01]\n  [8.7151587e-01 4.0284222e-06 1.9417052e-05 1.2846066e-01]\n  [8.6686271e-01 5.8835503e-06 3.0593910e-05 1.3310082e-01]\n  [8.6205781e-01 7.3475376e-06 3.8472361e-05 1.3789642e-01]]\n\n [[8.6067379e-01 2.6988360e-04 6.3664175e-04 1.3841972e-01]\n  [8.6233836e-01 1.5754749e-05 4.9042701e-05 1.3759683e-01]\n  [8.7324047e-01 9.2305554e-06 3.8329454e-05 1.2671202e-01]\n  [8.6664063e-01 1.2275293e-05 5.4097174e-05 1.3329297e-01]\n  [8.5726911e-01 1.4420519e-05 6.5522436e-05 1.4265092e-01]]\n\n [[8.1443053e-01 2.1676749e-03 4.3946733e-03 1.7900711e-01]\n  [8.6145377e-01 3.2463888e-04 7.4536394e-04 1.3747618e-01]\n  [8.7093073e-01 2.7451519e-04 6.6980574e-04 1.2812503e-01]\n  [8.6332911e-01 3.4723378e-04 8.6591602e-04 1.3545766e-01]\n  [8.5368460e-01 3.9111241e-04 9.8198024e-04 1.4494237e-01]]]\nPredicted mask after argmax for 2008_001078: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001078 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001078. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001078.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001078: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7751367e-01 2.9880846e-07 7.3249879e-07 2.2485221e-02]\n  [9.9123186e-01 1.6535809e-10 4.5248241e-10 8.7681701e-03]\n  [9.9486876e-01 5.2681214e-12 2.5533842e-11 5.1311892e-03]\n  [9.9513912e-01 2.9116171e-12 1.8827384e-11 4.8608184e-03]\n  [9.9483490e-01 2.6051956e-12 1.8708242e-11 5.1650545e-03]]\n\n [[9.9229610e-01 1.3734146e-10 8.1408646e-10 7.7039097e-03]\n  [9.9427021e-01 6.8157611e-15 5.6048055e-14 5.7298364e-03]\n  [9.9486130e-01 1.6780058e-16 3.3035623e-15 5.1386608e-03]\n  [9.9397850e-01 1.8589161e-16 5.9188596e-15 6.0215439e-03]\n  [9.9299943e-01 1.9645730e-16 8.4653718e-15 7.0006093e-03]]\n\n [[9.9724740e-01 3.4007970e-12 3.8092297e-11 2.7525795e-03]\n  [9.9772722e-01 8.1938123e-17 1.8268804e-15 2.2727924e-03]\n  [9.9711740e-01 2.5646487e-18 2.4025031e-16 2.8826348e-03]\n  [9.9604958e-01 3.3878119e-18 6.2868246e-16 3.9503979e-03]\n  [9.9564868e-01 2.6897246e-18 7.1235921e-16 4.3513509e-03]]\n\n ...\n\n [[8.7664855e-01 1.4221486e-04 3.5145821e-04 1.2285773e-01]\n  [8.6859518e-01 7.1322293e-06 2.4678020e-05 1.3137302e-01]\n  [8.7151587e-01 4.0284222e-06 1.9417052e-05 1.2846066e-01]\n  [8.6686271e-01 5.8835503e-06 3.0593910e-05 1.3310082e-01]\n  [8.6205781e-01 7.3475376e-06 3.8472361e-05 1.3789642e-01]]\n\n [[8.6067379e-01 2.6988360e-04 6.3664175e-04 1.3841972e-01]\n  [8.6233836e-01 1.5754749e-05 4.9042701e-05 1.3759683e-01]\n  [8.7324047e-01 9.2305554e-06 3.8329454e-05 1.2671202e-01]\n  [8.6664063e-01 1.2275293e-05 5.4097174e-05 1.3329297e-01]\n  [8.5726911e-01 1.4420519e-05 6.5522436e-05 1.4265092e-01]]\n\n [[8.1443053e-01 2.1676749e-03 4.3946733e-03 1.7900711e-01]\n  [8.6145377e-01 3.2463888e-04 7.4536394e-04 1.3747618e-01]\n  [8.7093073e-01 2.7451519e-04 6.6980574e-04 1.2812503e-01]\n  [8.6332911e-01 3.4723378e-04 8.6591602e-04 1.3545766e-01]\n  [8.5368460e-01 3.9111241e-04 9.8198024e-04 1.4494237e-01]]]\nPredicted mask after argmax for 2008_001078: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001078 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001078. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001111.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001111: (1, 256, 256, 4)\nSome predicted mask values: [[[9.59586620e-01 4.42013834e-06 8.82647328e-06 4.04001325e-02]\n  [9.76265371e-01 2.39711451e-08 4.60061464e-08 2.37345863e-02]\n  [9.81345594e-01 3.62739572e-09 1.11196545e-08 1.86543409e-02]\n  [9.80935335e-01 3.27205618e-09 1.25850814e-08 1.90646295e-02]\n  [9.81448472e-01 2.08283923e-09 9.15863119e-09 1.85515117e-02]]\n\n [[9.85041320e-01 6.13151352e-09 2.49632492e-08 1.49586741e-02]\n  [9.83552992e-01 6.86968711e-12 3.17430041e-11 1.64470114e-02]\n  [9.80471730e-01 1.51491840e-12 1.36835959e-11 1.95282623e-02]\n  [9.76893306e-01 3.29332763e-12 4.24904417e-11 2.31067054e-02]\n  [9.75582659e-01 2.41634013e-12 4.11591247e-11 2.44173780e-02]]\n\n [[9.93676841e-01 2.46109300e-10 1.64277569e-09 6.32312195e-03]\n  [9.91852939e-01 1.95521306e-13 1.84306693e-12 8.14711209e-03]\n  [9.88347709e-01 7.12410613e-14 1.99254502e-12 1.16522918e-02]\n  [9.81623650e-01 3.00307549e-13 1.29376284e-11 1.83763858e-02]\n  [9.80374992e-01 2.19528998e-13 1.29106526e-11 1.96249578e-02]]\n\n ...\n\n [[9.49047029e-01 9.06584830e-07 3.85578505e-06 5.09481356e-02]\n  [9.45287287e-01 5.19602317e-09 4.21288924e-08 5.47126830e-02]\n  [9.47284639e-01 1.15086229e-09 1.67396870e-08 5.27154021e-02]\n  [9.50620413e-01 1.35529721e-09 2.47385188e-08 4.93796095e-02]\n  [9.51492906e-01 1.29541089e-09 2.42585969e-08 4.85070832e-02]]\n\n [[9.41539228e-01 2.14364127e-06 8.53754409e-06 5.84500581e-02]\n  [9.44504797e-01 1.56615485e-08 1.00806261e-07 5.54950982e-02]\n  [9.52207923e-01 4.02767375e-09 4.38701981e-08 4.77921069e-02]\n  [9.49183226e-01 5.15910292e-09 6.51055956e-08 5.08166105e-02]\n  [9.46550846e-01 5.20033927e-09 7.50185905e-08 5.34490459e-02]]\n\n [[9.11144674e-01 5.81505337e-05 1.84396064e-04 8.86128694e-02]\n  [9.49882925e-01 1.75133732e-06 6.82903419e-06 5.01086377e-02]\n  [9.58870113e-01 9.44094893e-07 4.14895840e-06 4.11248505e-02]\n  [9.56086457e-01 1.33278797e-06 6.25250732e-06 4.39058729e-02]\n  [9.50011134e-01 1.61045989e-06 7.85918473e-06 4.99794595e-02]]]\nPredicted mask after argmax for 2008_001111: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001111 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001111. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001111.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001111: (1, 256, 256, 4)\nSome predicted mask values: [[[9.59586620e-01 4.42013834e-06 8.82647328e-06 4.04001325e-02]\n  [9.76265371e-01 2.39711451e-08 4.60061464e-08 2.37345863e-02]\n  [9.81345594e-01 3.62739572e-09 1.11196545e-08 1.86543409e-02]\n  [9.80935335e-01 3.27205618e-09 1.25850814e-08 1.90646295e-02]\n  [9.81448472e-01 2.08283923e-09 9.15863119e-09 1.85515117e-02]]\n\n [[9.85041320e-01 6.13151352e-09 2.49632492e-08 1.49586741e-02]\n  [9.83552992e-01 6.86968711e-12 3.17430041e-11 1.64470114e-02]\n  [9.80471730e-01 1.51491840e-12 1.36835959e-11 1.95282623e-02]\n  [9.76893306e-01 3.29332763e-12 4.24904417e-11 2.31067054e-02]\n  [9.75582659e-01 2.41634013e-12 4.11591247e-11 2.44173780e-02]]\n\n [[9.93676841e-01 2.46109300e-10 1.64277569e-09 6.32312195e-03]\n  [9.91852939e-01 1.95521306e-13 1.84306693e-12 8.14711209e-03]\n  [9.88347709e-01 7.12410613e-14 1.99254502e-12 1.16522918e-02]\n  [9.81623650e-01 3.00307549e-13 1.29376284e-11 1.83763858e-02]\n  [9.80374992e-01 2.19528998e-13 1.29106526e-11 1.96249578e-02]]\n\n ...\n\n [[9.49047029e-01 9.06584830e-07 3.85578505e-06 5.09481356e-02]\n  [9.45287287e-01 5.19602317e-09 4.21288924e-08 5.47126830e-02]\n  [9.47284639e-01 1.15086229e-09 1.67396870e-08 5.27154021e-02]\n  [9.50620413e-01 1.35529721e-09 2.47385188e-08 4.93796095e-02]\n  [9.51492906e-01 1.29541089e-09 2.42585969e-08 4.85070832e-02]]\n\n [[9.41539228e-01 2.14364127e-06 8.53754409e-06 5.84500581e-02]\n  [9.44504797e-01 1.56615485e-08 1.00806261e-07 5.54950982e-02]\n  [9.52207923e-01 4.02767375e-09 4.38701981e-08 4.77921069e-02]\n  [9.49183226e-01 5.15910292e-09 6.51055956e-08 5.08166105e-02]\n  [9.46550846e-01 5.20033927e-09 7.50185905e-08 5.34490459e-02]]\n\n [[9.11144674e-01 5.81505337e-05 1.84396064e-04 8.86128694e-02]\n  [9.49882925e-01 1.75133732e-06 6.82903419e-06 5.01086377e-02]\n  [9.58870113e-01 9.44094893e-07 4.14895840e-06 4.11248505e-02]\n  [9.56086457e-01 1.33278797e-06 6.25250732e-06 4.39058729e-02]\n  [9.50011134e-01 1.61045989e-06 7.85918473e-06 4.99794595e-02]]]\nPredicted mask after argmax for 2008_001111: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001111 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001111. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001111.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001111: (1, 256, 256, 4)\nSome predicted mask values: [[[9.59586620e-01 4.42013834e-06 8.82647328e-06 4.04001325e-02]\n  [9.76265371e-01 2.39711451e-08 4.60061464e-08 2.37345863e-02]\n  [9.81345594e-01 3.62739572e-09 1.11196545e-08 1.86543409e-02]\n  [9.80935335e-01 3.27205618e-09 1.25850814e-08 1.90646295e-02]\n  [9.81448472e-01 2.08283923e-09 9.15863119e-09 1.85515117e-02]]\n\n [[9.85041320e-01 6.13151352e-09 2.49632492e-08 1.49586741e-02]\n  [9.83552992e-01 6.86968711e-12 3.17430041e-11 1.64470114e-02]\n  [9.80471730e-01 1.51491840e-12 1.36835959e-11 1.95282623e-02]\n  [9.76893306e-01 3.29332763e-12 4.24904417e-11 2.31067054e-02]\n  [9.75582659e-01 2.41634013e-12 4.11591247e-11 2.44173780e-02]]\n\n [[9.93676841e-01 2.46109300e-10 1.64277569e-09 6.32312195e-03]\n  [9.91852939e-01 1.95521306e-13 1.84306693e-12 8.14711209e-03]\n  [9.88347709e-01 7.12410613e-14 1.99254502e-12 1.16522918e-02]\n  [9.81623650e-01 3.00307549e-13 1.29376284e-11 1.83763858e-02]\n  [9.80374992e-01 2.19528998e-13 1.29106526e-11 1.96249578e-02]]\n\n ...\n\n [[9.49047029e-01 9.06584830e-07 3.85578505e-06 5.09481356e-02]\n  [9.45287287e-01 5.19602317e-09 4.21288924e-08 5.47126830e-02]\n  [9.47284639e-01 1.15086229e-09 1.67396870e-08 5.27154021e-02]\n  [9.50620413e-01 1.35529721e-09 2.47385188e-08 4.93796095e-02]\n  [9.51492906e-01 1.29541089e-09 2.42585969e-08 4.85070832e-02]]\n\n [[9.41539228e-01 2.14364127e-06 8.53754409e-06 5.84500581e-02]\n  [9.44504797e-01 1.56615485e-08 1.00806261e-07 5.54950982e-02]\n  [9.52207923e-01 4.02767375e-09 4.38701981e-08 4.77921069e-02]\n  [9.49183226e-01 5.15910292e-09 6.51055956e-08 5.08166105e-02]\n  [9.46550846e-01 5.20033927e-09 7.50185905e-08 5.34490459e-02]]\n\n [[9.11144674e-01 5.81505337e-05 1.84396064e-04 8.86128694e-02]\n  [9.49882925e-01 1.75133732e-06 6.82903419e-06 5.01086377e-02]\n  [9.58870113e-01 9.44094893e-07 4.14895840e-06 4.11248505e-02]\n  [9.56086457e-01 1.33278797e-06 6.25250732e-06 4.39058729e-02]\n  [9.50011134e-01 1.61045989e-06 7.85918473e-06 4.99794595e-02]]]\nPredicted mask after argmax for 2008_001111: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001111 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001111. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001111.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001111: (1, 256, 256, 4)\nSome predicted mask values: [[[9.59586620e-01 4.42013834e-06 8.82647328e-06 4.04001325e-02]\n  [9.76265371e-01 2.39711451e-08 4.60061464e-08 2.37345863e-02]\n  [9.81345594e-01 3.62739572e-09 1.11196545e-08 1.86543409e-02]\n  [9.80935335e-01 3.27205618e-09 1.25850814e-08 1.90646295e-02]\n  [9.81448472e-01 2.08283923e-09 9.15863119e-09 1.85515117e-02]]\n\n [[9.85041320e-01 6.13151352e-09 2.49632492e-08 1.49586741e-02]\n  [9.83552992e-01 6.86968711e-12 3.17430041e-11 1.64470114e-02]\n  [9.80471730e-01 1.51491840e-12 1.36835959e-11 1.95282623e-02]\n  [9.76893306e-01 3.29332763e-12 4.24904417e-11 2.31067054e-02]\n  [9.75582659e-01 2.41634013e-12 4.11591247e-11 2.44173780e-02]]\n\n [[9.93676841e-01 2.46109300e-10 1.64277569e-09 6.32312195e-03]\n  [9.91852939e-01 1.95521306e-13 1.84306693e-12 8.14711209e-03]\n  [9.88347709e-01 7.12410613e-14 1.99254502e-12 1.16522918e-02]\n  [9.81623650e-01 3.00307549e-13 1.29376284e-11 1.83763858e-02]\n  [9.80374992e-01 2.19528998e-13 1.29106526e-11 1.96249578e-02]]\n\n ...\n\n [[9.49047029e-01 9.06584830e-07 3.85578505e-06 5.09481356e-02]\n  [9.45287287e-01 5.19602317e-09 4.21288924e-08 5.47126830e-02]\n  [9.47284639e-01 1.15086229e-09 1.67396870e-08 5.27154021e-02]\n  [9.50620413e-01 1.35529721e-09 2.47385188e-08 4.93796095e-02]\n  [9.51492906e-01 1.29541089e-09 2.42585969e-08 4.85070832e-02]]\n\n [[9.41539228e-01 2.14364127e-06 8.53754409e-06 5.84500581e-02]\n  [9.44504797e-01 1.56615485e-08 1.00806261e-07 5.54950982e-02]\n  [9.52207923e-01 4.02767375e-09 4.38701981e-08 4.77921069e-02]\n  [9.49183226e-01 5.15910292e-09 6.51055956e-08 5.08166105e-02]\n  [9.46550846e-01 5.20033927e-09 7.50185905e-08 5.34490459e-02]]\n\n [[9.11144674e-01 5.81505337e-05 1.84396064e-04 8.86128694e-02]\n  [9.49882925e-01 1.75133732e-06 6.82903419e-06 5.01086377e-02]\n  [9.58870113e-01 9.44094893e-07 4.14895840e-06 4.11248505e-02]\n  [9.56086457e-01 1.33278797e-06 6.25250732e-06 4.39058729e-02]\n  [9.50011134e-01 1.61045989e-06 7.85918473e-06 4.99794595e-02]]]\nPredicted mask after argmax for 2008_001111: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001111 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001111. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001112: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99871850e-01 2.38265339e-16 1.93053378e-15 1.28148386e-04]\n  [9.99991059e-01 2.46705342e-24 1.78633876e-23 8.98740473e-06]\n  [9.99998093e-01 1.42172991e-28 3.19180595e-27 1.87018861e-06]\n  [9.99999166e-01 1.38071375e-30 6.83175078e-29 8.86862892e-07]\n  [9.99999642e-01 1.48316574e-32 1.11138364e-30 3.73593025e-07]]\n\n [[9.99987483e-01 6.09640543e-24 3.14281200e-22 1.24835387e-05]\n  [9.99994159e-01 3.20582725e-34 2.65890298e-32 5.87854629e-06]\n  [9.99995351e-01 1.38434177e-38 7.25526607e-36 4.61434047e-06]\n  [9.99996424e-01 4.24352411e-40 8.79734907e-37 3.59321052e-06]\n  [9.99997735e-01 2.72552551e-42 1.54282933e-38 2.31859372e-06]]\n\n [[9.99998927e-01 1.54126916e-27 3.34144494e-25 1.05824677e-06]\n  [9.99999285e-01 2.62102312e-38 2.30859686e-35 6.67811435e-07]\n  [9.99998808e-01 3.13610596e-42 7.51282462e-38 1.21259177e-06]\n  [9.99998569e-01 2.34016844e-43 4.55797437e-38 1.47048854e-06]\n  [9.99998927e-01 1.40129846e-45 1.08284918e-39 1.03381240e-06]]\n\n ...\n\n [[9.04208124e-01 2.82996498e-05 8.72335077e-05 9.56763178e-02]\n  [8.97463083e-01 6.24321387e-07 3.05873800e-06 1.02533147e-01]\n  [9.06125486e-01 1.34150113e-07 1.09619327e-06 9.38733369e-02]\n  [9.17650938e-01 7.20500779e-08 7.60590865e-07 8.23481530e-02]\n  [9.27475929e-01 3.38756685e-08 4.07475852e-07 7.25236461e-02]]\n\n [[8.89295042e-01 6.47449924e-05 1.86342979e-04 1.10453859e-01]\n  [8.90487492e-01 1.79378708e-06 7.40355472e-06 1.09503262e-01]\n  [9.07615483e-01 4.50282357e-07 2.82737369e-06 9.23812166e-02]\n  [9.11268353e-01 2.68663797e-07 2.01809030e-06 8.87293667e-02]\n  [9.20871794e-01 1.32225210e-07 1.19416404e-06 7.91268945e-02]]\n\n [[8.49322736e-01 7.65272183e-04 1.82688551e-03 1.48085073e-01]\n  [8.97501767e-01 6.55791373e-05 1.84511184e-04 1.02248125e-01]\n  [9.14098024e-01 3.15617108e-05 1.00322330e-04 8.57700333e-02]\n  [9.19122219e-01 2.24167579e-05 7.88969846e-05 8.07764307e-02]\n  [9.23523843e-01 1.47282071e-05 5.65230475e-05 7.64049739e-02]]]\nPredicted mask after argmax for 2008_001112: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001112 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001112. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001112: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99871850e-01 2.38265339e-16 1.93053378e-15 1.28148386e-04]\n  [9.99991059e-01 2.46705342e-24 1.78633876e-23 8.98740473e-06]\n  [9.99998093e-01 1.42172991e-28 3.19180595e-27 1.87018861e-06]\n  [9.99999166e-01 1.38071375e-30 6.83175078e-29 8.86862892e-07]\n  [9.99999642e-01 1.48316574e-32 1.11138364e-30 3.73593025e-07]]\n\n [[9.99987483e-01 6.09640543e-24 3.14281200e-22 1.24835387e-05]\n  [9.99994159e-01 3.20582725e-34 2.65890298e-32 5.87854629e-06]\n  [9.99995351e-01 1.38434177e-38 7.25526607e-36 4.61434047e-06]\n  [9.99996424e-01 4.24352411e-40 8.79734907e-37 3.59321052e-06]\n  [9.99997735e-01 2.72552551e-42 1.54282933e-38 2.31859372e-06]]\n\n [[9.99998927e-01 1.54126916e-27 3.34144494e-25 1.05824677e-06]\n  [9.99999285e-01 2.62102312e-38 2.30859686e-35 6.67811435e-07]\n  [9.99998808e-01 3.13610596e-42 7.51282462e-38 1.21259177e-06]\n  [9.99998569e-01 2.34016844e-43 4.55797437e-38 1.47048854e-06]\n  [9.99998927e-01 1.40129846e-45 1.08284918e-39 1.03381240e-06]]\n\n ...\n\n [[9.04208124e-01 2.82996498e-05 8.72335077e-05 9.56763178e-02]\n  [8.97463083e-01 6.24321387e-07 3.05873800e-06 1.02533147e-01]\n  [9.06125486e-01 1.34150113e-07 1.09619327e-06 9.38733369e-02]\n  [9.17650938e-01 7.20500779e-08 7.60590865e-07 8.23481530e-02]\n  [9.27475929e-01 3.38756685e-08 4.07475852e-07 7.25236461e-02]]\n\n [[8.89295042e-01 6.47449924e-05 1.86342979e-04 1.10453859e-01]\n  [8.90487492e-01 1.79378708e-06 7.40355472e-06 1.09503262e-01]\n  [9.07615483e-01 4.50282357e-07 2.82737369e-06 9.23812166e-02]\n  [9.11268353e-01 2.68663797e-07 2.01809030e-06 8.87293667e-02]\n  [9.20871794e-01 1.32225210e-07 1.19416404e-06 7.91268945e-02]]\n\n [[8.49322736e-01 7.65272183e-04 1.82688551e-03 1.48085073e-01]\n  [8.97501767e-01 6.55791373e-05 1.84511184e-04 1.02248125e-01]\n  [9.14098024e-01 3.15617108e-05 1.00322330e-04 8.57700333e-02]\n  [9.19122219e-01 2.24167579e-05 7.88969846e-05 8.07764307e-02]\n  [9.23523843e-01 1.47282071e-05 5.65230475e-05 7.64049739e-02]]]\nPredicted mask after argmax for 2008_001112: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001112 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001112. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001137.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001137: (1, 256, 256, 4)\nSome predicted mask values: [[[9.39852536e-01 2.12493251e-05 3.93740993e-05 6.00867942e-02]\n  [9.63887751e-01 1.73145779e-07 3.40432052e-07 3.61117125e-02]\n  [9.71857905e-01 2.64231730e-08 7.68411610e-08 2.81419959e-02]\n  [9.72487330e-01 2.08428688e-08 7.27601446e-08 2.75125541e-02]\n  [9.72338438e-01 1.70355037e-08 6.56909123e-08 2.76613906e-02]]\n\n [[9.71865296e-01 9.77256178e-08 3.33680958e-07 2.81342119e-02]\n  [9.73066092e-01 1.86696561e-10 7.78442644e-10 2.69339420e-02]\n  [9.71888602e-01 2.96971406e-11 2.17375548e-10 2.81113591e-02]\n  [9.69732940e-01 3.77319981e-11 3.81036813e-10 3.02670412e-02]\n  [9.67670858e-01 3.31939268e-11 4.21413821e-10 3.23291607e-02]]\n\n [[9.84319270e-01 1.14245307e-08 5.86165356e-08 1.56807527e-02]\n  [9.83570039e-01 1.59187923e-11 1.20996255e-10 1.64299645e-02]\n  [9.80943501e-01 2.99884445e-12 5.62386630e-11 1.90565493e-02]\n  [9.75854695e-01 4.71288113e-12 1.32665559e-10 2.41452530e-02]\n  [9.74426270e-01 3.81318024e-12 1.35588790e-10 2.55737323e-02]]\n\n ...\n\n [[9.59055066e-01 2.18993804e-07 1.18134540e-06 4.09436263e-02]\n  [9.66038942e-01 1.75885001e-10 2.17412488e-09 3.39609981e-02]\n  [9.78889227e-01 2.39910500e-12 8.97211402e-11 2.11107116e-02]\n  [9.84561622e-01 5.17945387e-13 2.82734114e-11 1.54383313e-02]\n  [9.84407544e-01 5.87355739e-13 3.19402248e-11 1.55925015e-02]]\n\n [[9.50392485e-01 7.39075062e-07 3.54162080e-06 4.96032313e-02]\n  [9.61044669e-01 1.06744535e-09 9.70351621e-09 3.89553383e-02]\n  [9.75538313e-01 4.05488594e-11 8.40600312e-10 2.44616512e-02]\n  [9.76415038e-01 2.11926084e-11 5.84825577e-10 2.35849433e-02]\n  [9.73713934e-01 4.15956991e-11 1.22341770e-09 2.62860376e-02]]\n\n [[9.21461105e-01 3.27272683e-05 1.21230893e-04 7.83848464e-02]\n  [9.61171210e-01 4.02287242e-07 2.05284596e-06 3.88263091e-02]\n  [9.73823130e-01 7.56438041e-08 4.95233621e-07 2.61762459e-02]\n  [9.72372055e-01 8.22515247e-08 5.92565812e-07 2.76273079e-02]\n  [9.65279400e-01 1.92069137e-07 1.35923176e-06 3.47190611e-02]]]\nPredicted mask after argmax for 2008_001137: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001137 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001137. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001137.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001137: (1, 256, 256, 4)\nSome predicted mask values: [[[9.39852536e-01 2.12493251e-05 3.93740993e-05 6.00867942e-02]\n  [9.63887751e-01 1.73145779e-07 3.40432052e-07 3.61117125e-02]\n  [9.71857905e-01 2.64231730e-08 7.68411610e-08 2.81419959e-02]\n  [9.72487330e-01 2.08428688e-08 7.27601446e-08 2.75125541e-02]\n  [9.72338438e-01 1.70355037e-08 6.56909123e-08 2.76613906e-02]]\n\n [[9.71865296e-01 9.77256178e-08 3.33680958e-07 2.81342119e-02]\n  [9.73066092e-01 1.86696561e-10 7.78442644e-10 2.69339420e-02]\n  [9.71888602e-01 2.96971406e-11 2.17375548e-10 2.81113591e-02]\n  [9.69732940e-01 3.77319981e-11 3.81036813e-10 3.02670412e-02]\n  [9.67670858e-01 3.31939268e-11 4.21413821e-10 3.23291607e-02]]\n\n [[9.84319270e-01 1.14245307e-08 5.86165356e-08 1.56807527e-02]\n  [9.83570039e-01 1.59187923e-11 1.20996255e-10 1.64299645e-02]\n  [9.80943501e-01 2.99884445e-12 5.62386630e-11 1.90565493e-02]\n  [9.75854695e-01 4.71288113e-12 1.32665559e-10 2.41452530e-02]\n  [9.74426270e-01 3.81318024e-12 1.35588790e-10 2.55737323e-02]]\n\n ...\n\n [[9.59055066e-01 2.18993804e-07 1.18134540e-06 4.09436263e-02]\n  [9.66038942e-01 1.75885001e-10 2.17412488e-09 3.39609981e-02]\n  [9.78889227e-01 2.39910500e-12 8.97211402e-11 2.11107116e-02]\n  [9.84561622e-01 5.17945387e-13 2.82734114e-11 1.54383313e-02]\n  [9.84407544e-01 5.87355739e-13 3.19402248e-11 1.55925015e-02]]\n\n [[9.50392485e-01 7.39075062e-07 3.54162080e-06 4.96032313e-02]\n  [9.61044669e-01 1.06744535e-09 9.70351621e-09 3.89553383e-02]\n  [9.75538313e-01 4.05488594e-11 8.40600312e-10 2.44616512e-02]\n  [9.76415038e-01 2.11926084e-11 5.84825577e-10 2.35849433e-02]\n  [9.73713934e-01 4.15956991e-11 1.22341770e-09 2.62860376e-02]]\n\n [[9.21461105e-01 3.27272683e-05 1.21230893e-04 7.83848464e-02]\n  [9.61171210e-01 4.02287242e-07 2.05284596e-06 3.88263091e-02]\n  [9.73823130e-01 7.56438041e-08 4.95233621e-07 2.61762459e-02]\n  [9.72372055e-01 8.22515247e-08 5.92565812e-07 2.76273079e-02]\n  [9.65279400e-01 1.92069137e-07 1.35923176e-06 3.47190611e-02]]]\nPredicted mask after argmax for 2008_001137: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001137 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001137. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001137.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001137: (1, 256, 256, 4)\nSome predicted mask values: [[[9.39852536e-01 2.12493251e-05 3.93740993e-05 6.00867942e-02]\n  [9.63887751e-01 1.73145779e-07 3.40432052e-07 3.61117125e-02]\n  [9.71857905e-01 2.64231730e-08 7.68411610e-08 2.81419959e-02]\n  [9.72487330e-01 2.08428688e-08 7.27601446e-08 2.75125541e-02]\n  [9.72338438e-01 1.70355037e-08 6.56909123e-08 2.76613906e-02]]\n\n [[9.71865296e-01 9.77256178e-08 3.33680958e-07 2.81342119e-02]\n  [9.73066092e-01 1.86696561e-10 7.78442644e-10 2.69339420e-02]\n  [9.71888602e-01 2.96971406e-11 2.17375548e-10 2.81113591e-02]\n  [9.69732940e-01 3.77319981e-11 3.81036813e-10 3.02670412e-02]\n  [9.67670858e-01 3.31939268e-11 4.21413821e-10 3.23291607e-02]]\n\n [[9.84319270e-01 1.14245307e-08 5.86165356e-08 1.56807527e-02]\n  [9.83570039e-01 1.59187923e-11 1.20996255e-10 1.64299645e-02]\n  [9.80943501e-01 2.99884445e-12 5.62386630e-11 1.90565493e-02]\n  [9.75854695e-01 4.71288113e-12 1.32665559e-10 2.41452530e-02]\n  [9.74426270e-01 3.81318024e-12 1.35588790e-10 2.55737323e-02]]\n\n ...\n\n [[9.59055066e-01 2.18993804e-07 1.18134540e-06 4.09436263e-02]\n  [9.66038942e-01 1.75885001e-10 2.17412488e-09 3.39609981e-02]\n  [9.78889227e-01 2.39910500e-12 8.97211402e-11 2.11107116e-02]\n  [9.84561622e-01 5.17945387e-13 2.82734114e-11 1.54383313e-02]\n  [9.84407544e-01 5.87355739e-13 3.19402248e-11 1.55925015e-02]]\n\n [[9.50392485e-01 7.39075062e-07 3.54162080e-06 4.96032313e-02]\n  [9.61044669e-01 1.06744535e-09 9.70351621e-09 3.89553383e-02]\n  [9.75538313e-01 4.05488594e-11 8.40600312e-10 2.44616512e-02]\n  [9.76415038e-01 2.11926084e-11 5.84825577e-10 2.35849433e-02]\n  [9.73713934e-01 4.15956991e-11 1.22341770e-09 2.62860376e-02]]\n\n [[9.21461105e-01 3.27272683e-05 1.21230893e-04 7.83848464e-02]\n  [9.61171210e-01 4.02287242e-07 2.05284596e-06 3.88263091e-02]\n  [9.73823130e-01 7.56438041e-08 4.95233621e-07 2.61762459e-02]\n  [9.72372055e-01 8.22515247e-08 5.92565812e-07 2.76273079e-02]\n  [9.65279400e-01 1.92069137e-07 1.35923176e-06 3.47190611e-02]]]\nPredicted mask after argmax for 2008_001137: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001137 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001137. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001171.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001171: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96844471e-01 1.39288830e-10 5.05092967e-10 3.15543823e-03]\n  [9.99288201e-01 2.44590271e-15 7.67330704e-15 7.11821660e-04]\n  [9.99689758e-01 1.02869926e-17 6.98705302e-17 3.10148549e-04]\n  [9.99783039e-01 8.70834863e-19 1.03128635e-17 2.16951579e-04]\n  [9.99863625e-01 6.26096172e-20 9.91366038e-19 1.36367657e-04]]\n\n [[9.99344051e-01 1.92894051e-15 2.26282226e-14 6.55960757e-04]\n  [9.99504447e-01 1.42063747e-21 2.05568519e-20 4.95539221e-04]\n  [9.99485016e-01 6.92227811e-24 3.30746608e-22 5.15015272e-04]\n  [9.99518871e-01 1.45900781e-24 1.70674411e-22 4.81133291e-04]\n  [9.99616981e-01 8.07687317e-26 1.82573763e-23 3.82943690e-04]]\n\n [[9.99860287e-01 9.77718881e-18 2.69463150e-16 1.39673619e-04]\n  [9.99873042e-01 4.25946866e-24 2.44177694e-22 1.26956074e-04]\n  [9.99786377e-01 4.57710532e-26 2.14380966e-23 2.13630949e-04]\n  [9.99699771e-01 2.21718248e-26 3.58915493e-23 3.00184736e-04]\n  [9.99747932e-01 1.18455823e-27 4.79892843e-24 2.52077123e-04]]\n\n ...\n\n [[9.65327501e-01 1.65671921e-07 8.36424817e-07 3.46716121e-02]\n  [9.60727155e-01 6.11567741e-10 5.72810332e-09 3.92728634e-02]\n  [9.62054491e-01 1.10407718e-10 2.17802287e-09 3.79455276e-02]\n  [9.64865148e-01 1.14365351e-10 2.92774627e-09 3.51348072e-02]\n  [9.66875076e-01 7.58444904e-11 2.14613571e-09 3.31249870e-02]]\n\n [[9.56262708e-01 6.00970793e-07 2.76386459e-06 4.37339693e-02]\n  [9.56136465e-01 3.21183125e-09 2.31509141e-08 4.38635238e-02]\n  [9.62969899e-01 7.09277470e-10 9.60861524e-09 3.70301306e-02]\n  [9.61027622e-01 7.73032083e-10 1.27905926e-08 3.89724262e-02]\n  [9.61193323e-01 5.32966671e-10 1.09421556e-08 3.88066769e-02]]\n\n [[9.26672101e-01 2.70838809e-05 9.50231915e-05 7.32059255e-02]\n  [9.58198249e-01 6.91886100e-07 3.02584726e-06 4.17981260e-02]\n  [9.65807259e-01 3.53592526e-07 1.79742142e-06 3.41905206e-02]\n  [9.63280499e-01 4.70250797e-07 2.63091033e-06 3.67163755e-02]\n  [9.59214091e-01 4.36176180e-07 2.65879498e-06 4.07828465e-02]]]\nPredicted mask after argmax for 2008_001171: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001171 has shape: (406, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001171. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001171.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001171: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96844471e-01 1.39288830e-10 5.05092967e-10 3.15543823e-03]\n  [9.99288201e-01 2.44590271e-15 7.67330704e-15 7.11821660e-04]\n  [9.99689758e-01 1.02869926e-17 6.98705302e-17 3.10148549e-04]\n  [9.99783039e-01 8.70834863e-19 1.03128635e-17 2.16951579e-04]\n  [9.99863625e-01 6.26096172e-20 9.91366038e-19 1.36367657e-04]]\n\n [[9.99344051e-01 1.92894051e-15 2.26282226e-14 6.55960757e-04]\n  [9.99504447e-01 1.42063747e-21 2.05568519e-20 4.95539221e-04]\n  [9.99485016e-01 6.92227811e-24 3.30746608e-22 5.15015272e-04]\n  [9.99518871e-01 1.45900781e-24 1.70674411e-22 4.81133291e-04]\n  [9.99616981e-01 8.07687317e-26 1.82573763e-23 3.82943690e-04]]\n\n [[9.99860287e-01 9.77718881e-18 2.69463150e-16 1.39673619e-04]\n  [9.99873042e-01 4.25946866e-24 2.44177694e-22 1.26956074e-04]\n  [9.99786377e-01 4.57710532e-26 2.14380966e-23 2.13630949e-04]\n  [9.99699771e-01 2.21718248e-26 3.58915493e-23 3.00184736e-04]\n  [9.99747932e-01 1.18455823e-27 4.79892843e-24 2.52077123e-04]]\n\n ...\n\n [[9.65327501e-01 1.65671921e-07 8.36424817e-07 3.46716121e-02]\n  [9.60727155e-01 6.11567741e-10 5.72810332e-09 3.92728634e-02]\n  [9.62054491e-01 1.10407718e-10 2.17802287e-09 3.79455276e-02]\n  [9.64865148e-01 1.14365351e-10 2.92774627e-09 3.51348072e-02]\n  [9.66875076e-01 7.58444904e-11 2.14613571e-09 3.31249870e-02]]\n\n [[9.56262708e-01 6.00970793e-07 2.76386459e-06 4.37339693e-02]\n  [9.56136465e-01 3.21183125e-09 2.31509141e-08 4.38635238e-02]\n  [9.62969899e-01 7.09277470e-10 9.60861524e-09 3.70301306e-02]\n  [9.61027622e-01 7.73032083e-10 1.27905926e-08 3.89724262e-02]\n  [9.61193323e-01 5.32966671e-10 1.09421556e-08 3.88066769e-02]]\n\n [[9.26672101e-01 2.70838809e-05 9.50231915e-05 7.32059255e-02]\n  [9.58198249e-01 6.91886100e-07 3.02584726e-06 4.17981260e-02]\n  [9.65807259e-01 3.53592526e-07 1.79742142e-06 3.41905206e-02]\n  [9.63280499e-01 4.70250797e-07 2.63091033e-06 3.67163755e-02]\n  [9.59214091e-01 4.36176180e-07 2.65879498e-06 4.07828465e-02]]]\nPredicted mask after argmax for 2008_001171: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001171 has shape: (406, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001171. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001171.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001171: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96844471e-01 1.39288830e-10 5.05092967e-10 3.15543823e-03]\n  [9.99288201e-01 2.44590271e-15 7.67330704e-15 7.11821660e-04]\n  [9.99689758e-01 1.02869926e-17 6.98705302e-17 3.10148549e-04]\n  [9.99783039e-01 8.70834863e-19 1.03128635e-17 2.16951579e-04]\n  [9.99863625e-01 6.26096172e-20 9.91366038e-19 1.36367657e-04]]\n\n [[9.99344051e-01 1.92894051e-15 2.26282226e-14 6.55960757e-04]\n  [9.99504447e-01 1.42063747e-21 2.05568519e-20 4.95539221e-04]\n  [9.99485016e-01 6.92227811e-24 3.30746608e-22 5.15015272e-04]\n  [9.99518871e-01 1.45900781e-24 1.70674411e-22 4.81133291e-04]\n  [9.99616981e-01 8.07687317e-26 1.82573763e-23 3.82943690e-04]]\n\n [[9.99860287e-01 9.77718881e-18 2.69463150e-16 1.39673619e-04]\n  [9.99873042e-01 4.25946866e-24 2.44177694e-22 1.26956074e-04]\n  [9.99786377e-01 4.57710532e-26 2.14380966e-23 2.13630949e-04]\n  [9.99699771e-01 2.21718248e-26 3.58915493e-23 3.00184736e-04]\n  [9.99747932e-01 1.18455823e-27 4.79892843e-24 2.52077123e-04]]\n\n ...\n\n [[9.65327501e-01 1.65671921e-07 8.36424817e-07 3.46716121e-02]\n  [9.60727155e-01 6.11567741e-10 5.72810332e-09 3.92728634e-02]\n  [9.62054491e-01 1.10407718e-10 2.17802287e-09 3.79455276e-02]\n  [9.64865148e-01 1.14365351e-10 2.92774627e-09 3.51348072e-02]\n  [9.66875076e-01 7.58444904e-11 2.14613571e-09 3.31249870e-02]]\n\n [[9.56262708e-01 6.00970793e-07 2.76386459e-06 4.37339693e-02]\n  [9.56136465e-01 3.21183125e-09 2.31509141e-08 4.38635238e-02]\n  [9.62969899e-01 7.09277470e-10 9.60861524e-09 3.70301306e-02]\n  [9.61027622e-01 7.73032083e-10 1.27905926e-08 3.89724262e-02]\n  [9.61193323e-01 5.32966671e-10 1.09421556e-08 3.88066769e-02]]\n\n [[9.26672101e-01 2.70838809e-05 9.50231915e-05 7.32059255e-02]\n  [9.58198249e-01 6.91886100e-07 3.02584726e-06 4.17981260e-02]\n  [9.65807259e-01 3.53592526e-07 1.79742142e-06 3.41905206e-02]\n  [9.63280499e-01 4.70250797e-07 2.63091033e-06 3.67163755e-02]\n  [9.59214091e-01 4.36176180e-07 2.65879498e-06 4.07828465e-02]]]\nPredicted mask after argmax for 2008_001171: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001171 has shape: (406, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001171. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001171.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001171: (1, 256, 256, 4)\nSome predicted mask values: [[[9.96844471e-01 1.39288830e-10 5.05092967e-10 3.15543823e-03]\n  [9.99288201e-01 2.44590271e-15 7.67330704e-15 7.11821660e-04]\n  [9.99689758e-01 1.02869926e-17 6.98705302e-17 3.10148549e-04]\n  [9.99783039e-01 8.70834863e-19 1.03128635e-17 2.16951579e-04]\n  [9.99863625e-01 6.26096172e-20 9.91366038e-19 1.36367657e-04]]\n\n [[9.99344051e-01 1.92894051e-15 2.26282226e-14 6.55960757e-04]\n  [9.99504447e-01 1.42063747e-21 2.05568519e-20 4.95539221e-04]\n  [9.99485016e-01 6.92227811e-24 3.30746608e-22 5.15015272e-04]\n  [9.99518871e-01 1.45900781e-24 1.70674411e-22 4.81133291e-04]\n  [9.99616981e-01 8.07687317e-26 1.82573763e-23 3.82943690e-04]]\n\n [[9.99860287e-01 9.77718881e-18 2.69463150e-16 1.39673619e-04]\n  [9.99873042e-01 4.25946866e-24 2.44177694e-22 1.26956074e-04]\n  [9.99786377e-01 4.57710532e-26 2.14380966e-23 2.13630949e-04]\n  [9.99699771e-01 2.21718248e-26 3.58915493e-23 3.00184736e-04]\n  [9.99747932e-01 1.18455823e-27 4.79892843e-24 2.52077123e-04]]\n\n ...\n\n [[9.65327501e-01 1.65671921e-07 8.36424817e-07 3.46716121e-02]\n  [9.60727155e-01 6.11567741e-10 5.72810332e-09 3.92728634e-02]\n  [9.62054491e-01 1.10407718e-10 2.17802287e-09 3.79455276e-02]\n  [9.64865148e-01 1.14365351e-10 2.92774627e-09 3.51348072e-02]\n  [9.66875076e-01 7.58444904e-11 2.14613571e-09 3.31249870e-02]]\n\n [[9.56262708e-01 6.00970793e-07 2.76386459e-06 4.37339693e-02]\n  [9.56136465e-01 3.21183125e-09 2.31509141e-08 4.38635238e-02]\n  [9.62969899e-01 7.09277470e-10 9.60861524e-09 3.70301306e-02]\n  [9.61027622e-01 7.73032083e-10 1.27905926e-08 3.89724262e-02]\n  [9.61193323e-01 5.32966671e-10 1.09421556e-08 3.88066769e-02]]\n\n [[9.26672101e-01 2.70838809e-05 9.50231915e-05 7.32059255e-02]\n  [9.58198249e-01 6.91886100e-07 3.02584726e-06 4.17981260e-02]\n  [9.65807259e-01 3.53592526e-07 1.79742142e-06 3.41905206e-02]\n  [9.63280499e-01 4.70250797e-07 2.63091033e-06 3.67163755e-02]\n  [9.59214091e-01 4.36176180e-07 2.65879498e-06 4.07828465e-02]]]\nPredicted mask after argmax for 2008_001171: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001171 has shape: (406, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001171. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69259322e-01 1.03327466e-06 2.26934753e-06 3.07373125e-02]\n  [9.84721243e-01 1.76518755e-09 4.50120696e-09 1.52787371e-02]\n  [9.88879800e-01 1.53288798e-10 6.54645949e-10 1.11202579e-02]\n  [9.88871038e-01 1.30670808e-10 6.98932023e-10 1.11289388e-02]\n  [9.88728523e-01 9.83009021e-11 6.06444506e-10 1.12714656e-02]]\n\n [[9.88797724e-01 9.12405651e-10 4.51526549e-09 1.12022273e-02]\n  [9.89357650e-01 2.69507615e-13 1.73766828e-12 1.06424056e-02]\n  [9.88957703e-01 2.45290154e-14 3.51082065e-13 1.10422727e-02]\n  [9.87537146e-01 3.86866442e-14 8.25623207e-13 1.24628097e-02]\n  [9.86805975e-01 3.02603029e-14 8.77892323e-13 1.31939780e-02]]\n\n [[9.94922161e-01 5.47751323e-11 4.56967519e-10 5.07782027e-03]\n  [9.94497538e-01 1.09789438e-14 1.56004834e-13 5.50240139e-03]\n  [9.92923498e-01 1.41239218e-15 6.54002541e-14 7.07646180e-03]\n  [9.90489602e-01 3.07050290e-15 2.38599098e-13 9.51035786e-03]\n  [9.90185499e-01 2.11409852e-15 2.22357668e-13 9.81445517e-03]]\n\n ...\n\n [[8.94898415e-01 3.34237739e-05 1.03379862e-04 1.04964815e-01]\n  [9.00405705e-01 6.62554385e-07 3.48654658e-06 9.95902866e-02]\n  [9.04712260e-01 2.50768665e-07 1.87002536e-06 9.52857211e-02]\n  [9.06936765e-01 3.10072323e-07 2.53939061e-06 9.30604264e-02]\n  [9.06431496e-01 3.44423654e-07 2.81953612e-06 9.35654119e-02]]\n\n [[8.79407823e-01 7.64392462e-05 2.24448799e-04 1.20291255e-01]\n  [8.90902579e-01 2.02220303e-06 9.05279558e-06 1.09086320e-01]\n  [9.02181327e-01 8.21383480e-07 4.92295476e-06 9.78128985e-02]\n  [8.98693204e-01 9.62777790e-07 6.27972804e-06 1.01299576e-01]\n  [8.98025095e-01 9.76395199e-07 6.81888287e-06 1.01967022e-01]]\n\n [[8.35301697e-01 9.63126717e-04 2.26750155e-03 1.61467686e-01]\n  [8.84419560e-01 9.39018864e-05 2.55065155e-04 1.15231447e-01]\n  [8.98868561e-01 6.11518772e-05 1.86211517e-04 1.00883991e-01]\n  [8.92805278e-01 7.26917060e-05 2.28492281e-04 1.06893584e-01]\n  [8.87331963e-01 7.63301359e-05 2.45036383e-04 1.12346575e-01]]]\nPredicted mask after argmax for 2008_001182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001182 has shape: (374, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69259322e-01 1.03327466e-06 2.26934753e-06 3.07373125e-02]\n  [9.84721243e-01 1.76518755e-09 4.50120696e-09 1.52787371e-02]\n  [9.88879800e-01 1.53288798e-10 6.54645949e-10 1.11202579e-02]\n  [9.88871038e-01 1.30670808e-10 6.98932023e-10 1.11289388e-02]\n  [9.88728523e-01 9.83009021e-11 6.06444506e-10 1.12714656e-02]]\n\n [[9.88797724e-01 9.12405651e-10 4.51526549e-09 1.12022273e-02]\n  [9.89357650e-01 2.69507615e-13 1.73766828e-12 1.06424056e-02]\n  [9.88957703e-01 2.45290154e-14 3.51082065e-13 1.10422727e-02]\n  [9.87537146e-01 3.86866442e-14 8.25623207e-13 1.24628097e-02]\n  [9.86805975e-01 3.02603029e-14 8.77892323e-13 1.31939780e-02]]\n\n [[9.94922161e-01 5.47751323e-11 4.56967519e-10 5.07782027e-03]\n  [9.94497538e-01 1.09789438e-14 1.56004834e-13 5.50240139e-03]\n  [9.92923498e-01 1.41239218e-15 6.54002541e-14 7.07646180e-03]\n  [9.90489602e-01 3.07050290e-15 2.38599098e-13 9.51035786e-03]\n  [9.90185499e-01 2.11409852e-15 2.22357668e-13 9.81445517e-03]]\n\n ...\n\n [[8.94898415e-01 3.34237739e-05 1.03379862e-04 1.04964815e-01]\n  [9.00405705e-01 6.62554385e-07 3.48654658e-06 9.95902866e-02]\n  [9.04712260e-01 2.50768665e-07 1.87002536e-06 9.52857211e-02]\n  [9.06936765e-01 3.10072323e-07 2.53939061e-06 9.30604264e-02]\n  [9.06431496e-01 3.44423654e-07 2.81953612e-06 9.35654119e-02]]\n\n [[8.79407823e-01 7.64392462e-05 2.24448799e-04 1.20291255e-01]\n  [8.90902579e-01 2.02220303e-06 9.05279558e-06 1.09086320e-01]\n  [9.02181327e-01 8.21383480e-07 4.92295476e-06 9.78128985e-02]\n  [8.98693204e-01 9.62777790e-07 6.27972804e-06 1.01299576e-01]\n  [8.98025095e-01 9.76395199e-07 6.81888287e-06 1.01967022e-01]]\n\n [[8.35301697e-01 9.63126717e-04 2.26750155e-03 1.61467686e-01]\n  [8.84419560e-01 9.39018864e-05 2.55065155e-04 1.15231447e-01]\n  [8.98868561e-01 6.11518772e-05 1.86211517e-04 1.00883991e-01]\n  [8.92805278e-01 7.26917060e-05 2.28492281e-04 1.06893584e-01]\n  [8.87331963e-01 7.63301359e-05 2.45036383e-04 1.12346575e-01]]]\nPredicted mask after argmax for 2008_001182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001182 has shape: (374, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.69259322e-01 1.03327466e-06 2.26934753e-06 3.07373125e-02]\n  [9.84721243e-01 1.76518755e-09 4.50120696e-09 1.52787371e-02]\n  [9.88879800e-01 1.53288798e-10 6.54645949e-10 1.11202579e-02]\n  [9.88871038e-01 1.30670808e-10 6.98932023e-10 1.11289388e-02]\n  [9.88728523e-01 9.83009021e-11 6.06444506e-10 1.12714656e-02]]\n\n [[9.88797724e-01 9.12405651e-10 4.51526549e-09 1.12022273e-02]\n  [9.89357650e-01 2.69507615e-13 1.73766828e-12 1.06424056e-02]\n  [9.88957703e-01 2.45290154e-14 3.51082065e-13 1.10422727e-02]\n  [9.87537146e-01 3.86866442e-14 8.25623207e-13 1.24628097e-02]\n  [9.86805975e-01 3.02603029e-14 8.77892323e-13 1.31939780e-02]]\n\n [[9.94922161e-01 5.47751323e-11 4.56967519e-10 5.07782027e-03]\n  [9.94497538e-01 1.09789438e-14 1.56004834e-13 5.50240139e-03]\n  [9.92923498e-01 1.41239218e-15 6.54002541e-14 7.07646180e-03]\n  [9.90489602e-01 3.07050290e-15 2.38599098e-13 9.51035786e-03]\n  [9.90185499e-01 2.11409852e-15 2.22357668e-13 9.81445517e-03]]\n\n ...\n\n [[8.94898415e-01 3.34237739e-05 1.03379862e-04 1.04964815e-01]\n  [9.00405705e-01 6.62554385e-07 3.48654658e-06 9.95902866e-02]\n  [9.04712260e-01 2.50768665e-07 1.87002536e-06 9.52857211e-02]\n  [9.06936765e-01 3.10072323e-07 2.53939061e-06 9.30604264e-02]\n  [9.06431496e-01 3.44423654e-07 2.81953612e-06 9.35654119e-02]]\n\n [[8.79407823e-01 7.64392462e-05 2.24448799e-04 1.20291255e-01]\n  [8.90902579e-01 2.02220303e-06 9.05279558e-06 1.09086320e-01]\n  [9.02181327e-01 8.21383480e-07 4.92295476e-06 9.78128985e-02]\n  [8.98693204e-01 9.62777790e-07 6.27972804e-06 1.01299576e-01]\n  [8.98025095e-01 9.76395199e-07 6.81888287e-06 1.01967022e-01]]\n\n [[8.35301697e-01 9.63126717e-04 2.26750155e-03 1.61467686e-01]\n  [8.84419560e-01 9.39018864e-05 2.55065155e-04 1.15231447e-01]\n  [8.98868561e-01 6.11518772e-05 1.86211517e-04 1.00883991e-01]\n  [8.92805278e-01 7.26917060e-05 2.28492281e-04 1.06893584e-01]\n  [8.87331963e-01 7.63301359e-05 2.45036383e-04 1.12346575e-01]]]\nPredicted mask after argmax for 2008_001182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001182 has shape: (374, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001210.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001210: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83973265e-01 1.17367286e-07 2.66827158e-07 1.60264280e-02]\n  [9.90419805e-01 2.57530330e-10 4.98197317e-10 9.58025828e-03]\n  [9.91052270e-01 3.66223024e-11 1.58802346e-10 8.94771703e-03]\n  [9.89679337e-01 2.85628084e-11 2.13566498e-10 1.03206979e-02]\n  [9.90815461e-01 6.33846231e-12 6.86388932e-11 9.18452442e-03]]\n\n [[9.96712565e-01 1.12147019e-11 6.48980730e-11 3.28742946e-03]\n  [9.95272517e-01 2.62138380e-15 1.54605553e-14 4.72740177e-03]\n  [9.92861927e-01 5.06024047e-16 1.07705559e-14 7.13804597e-03]\n  [9.90680397e-01 9.31137496e-16 4.59345222e-14 9.31959227e-03]\n  [9.91755605e-01 1.31668678e-16 1.26713571e-14 8.24440643e-03]]\n\n [[9.99195635e-01 4.47234175e-14 5.05242603e-13 8.04409792e-04]\n  [9.98605967e-01 3.96111484e-18 6.15265211e-17 1.39398733e-03]\n  [9.97055888e-01 1.04564563e-18 1.09693242e-16 2.94417585e-03]\n  [9.95552838e-01 1.69585591e-18 4.73731869e-16 4.44718916e-03]\n  [9.96264398e-01 1.44616193e-19 8.82199902e-17 3.73564544e-03]]\n\n ...\n\n [[9.60762441e-01 6.38089901e-08 4.14643353e-07 3.92370075e-02]\n  [9.74939346e-01 3.02720141e-11 5.58022184e-10 2.50606555e-02]\n  [9.79957402e-01 1.92575339e-12 7.09154124e-11 2.00425535e-02]\n  [9.82853949e-01 1.32870050e-12 5.79062423e-11 1.71460491e-02]\n  [9.83819664e-01 9.74550193e-13 4.50300318e-11 1.61803048e-02]]\n\n [[9.48903441e-01 3.41202082e-07 1.94228073e-06 5.10943346e-02]\n  [9.67149734e-01 4.02290479e-10 4.85817342e-09 3.28502692e-02]\n  [9.73990023e-01 4.21706801e-11 8.77887540e-10 2.60099620e-02]\n  [9.75447536e-01 3.00238480e-11 7.74357689e-10 2.45524608e-02]\n  [9.76696372e-01 2.05250730e-11 6.21895702e-10 2.33035833e-02]]\n\n [[9.15448427e-01 2.62131070e-05 1.03764360e-04 8.44216421e-02]\n  [9.57664192e-01 3.69289495e-07 1.85726992e-06 4.23335806e-02]\n  [9.69741940e-01 9.79458576e-08 6.17743638e-07 3.02574076e-02]\n  [9.69401896e-01 1.01668078e-07 6.96562438e-07 3.05973031e-02]\n  [9.68698919e-01 9.07007376e-08 6.66876247e-07 3.13002653e-02]]]\nPredicted mask after argmax for 2008_001210: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001210 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001210. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001210.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001210: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83973265e-01 1.17367286e-07 2.66827158e-07 1.60264280e-02]\n  [9.90419805e-01 2.57530330e-10 4.98197317e-10 9.58025828e-03]\n  [9.91052270e-01 3.66223024e-11 1.58802346e-10 8.94771703e-03]\n  [9.89679337e-01 2.85628084e-11 2.13566498e-10 1.03206979e-02]\n  [9.90815461e-01 6.33846231e-12 6.86388932e-11 9.18452442e-03]]\n\n [[9.96712565e-01 1.12147019e-11 6.48980730e-11 3.28742946e-03]\n  [9.95272517e-01 2.62138380e-15 1.54605553e-14 4.72740177e-03]\n  [9.92861927e-01 5.06024047e-16 1.07705559e-14 7.13804597e-03]\n  [9.90680397e-01 9.31137496e-16 4.59345222e-14 9.31959227e-03]\n  [9.91755605e-01 1.31668678e-16 1.26713571e-14 8.24440643e-03]]\n\n [[9.99195635e-01 4.47234175e-14 5.05242603e-13 8.04409792e-04]\n  [9.98605967e-01 3.96111484e-18 6.15265211e-17 1.39398733e-03]\n  [9.97055888e-01 1.04564563e-18 1.09693242e-16 2.94417585e-03]\n  [9.95552838e-01 1.69585591e-18 4.73731869e-16 4.44718916e-03]\n  [9.96264398e-01 1.44616193e-19 8.82199902e-17 3.73564544e-03]]\n\n ...\n\n [[9.60762441e-01 6.38089901e-08 4.14643353e-07 3.92370075e-02]\n  [9.74939346e-01 3.02720141e-11 5.58022184e-10 2.50606555e-02]\n  [9.79957402e-01 1.92575339e-12 7.09154124e-11 2.00425535e-02]\n  [9.82853949e-01 1.32870050e-12 5.79062423e-11 1.71460491e-02]\n  [9.83819664e-01 9.74550193e-13 4.50300318e-11 1.61803048e-02]]\n\n [[9.48903441e-01 3.41202082e-07 1.94228073e-06 5.10943346e-02]\n  [9.67149734e-01 4.02290479e-10 4.85817342e-09 3.28502692e-02]\n  [9.73990023e-01 4.21706801e-11 8.77887540e-10 2.60099620e-02]\n  [9.75447536e-01 3.00238480e-11 7.74357689e-10 2.45524608e-02]\n  [9.76696372e-01 2.05250730e-11 6.21895702e-10 2.33035833e-02]]\n\n [[9.15448427e-01 2.62131070e-05 1.03764360e-04 8.44216421e-02]\n  [9.57664192e-01 3.69289495e-07 1.85726992e-06 4.23335806e-02]\n  [9.69741940e-01 9.79458576e-08 6.17743638e-07 3.02574076e-02]\n  [9.69401896e-01 1.01668078e-07 6.96562438e-07 3.05973031e-02]\n  [9.68698919e-01 9.07007376e-08 6.66876247e-07 3.13002653e-02]]]\nPredicted mask after argmax for 2008_001210: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001210 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001210. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001210.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001210: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83973265e-01 1.17367286e-07 2.66827158e-07 1.60264280e-02]\n  [9.90419805e-01 2.57530330e-10 4.98197317e-10 9.58025828e-03]\n  [9.91052270e-01 3.66223024e-11 1.58802346e-10 8.94771703e-03]\n  [9.89679337e-01 2.85628084e-11 2.13566498e-10 1.03206979e-02]\n  [9.90815461e-01 6.33846231e-12 6.86388932e-11 9.18452442e-03]]\n\n [[9.96712565e-01 1.12147019e-11 6.48980730e-11 3.28742946e-03]\n  [9.95272517e-01 2.62138380e-15 1.54605553e-14 4.72740177e-03]\n  [9.92861927e-01 5.06024047e-16 1.07705559e-14 7.13804597e-03]\n  [9.90680397e-01 9.31137496e-16 4.59345222e-14 9.31959227e-03]\n  [9.91755605e-01 1.31668678e-16 1.26713571e-14 8.24440643e-03]]\n\n [[9.99195635e-01 4.47234175e-14 5.05242603e-13 8.04409792e-04]\n  [9.98605967e-01 3.96111484e-18 6.15265211e-17 1.39398733e-03]\n  [9.97055888e-01 1.04564563e-18 1.09693242e-16 2.94417585e-03]\n  [9.95552838e-01 1.69585591e-18 4.73731869e-16 4.44718916e-03]\n  [9.96264398e-01 1.44616193e-19 8.82199902e-17 3.73564544e-03]]\n\n ...\n\n [[9.60762441e-01 6.38089901e-08 4.14643353e-07 3.92370075e-02]\n  [9.74939346e-01 3.02720141e-11 5.58022184e-10 2.50606555e-02]\n  [9.79957402e-01 1.92575339e-12 7.09154124e-11 2.00425535e-02]\n  [9.82853949e-01 1.32870050e-12 5.79062423e-11 1.71460491e-02]\n  [9.83819664e-01 9.74550193e-13 4.50300318e-11 1.61803048e-02]]\n\n [[9.48903441e-01 3.41202082e-07 1.94228073e-06 5.10943346e-02]\n  [9.67149734e-01 4.02290479e-10 4.85817342e-09 3.28502692e-02]\n  [9.73990023e-01 4.21706801e-11 8.77887540e-10 2.60099620e-02]\n  [9.75447536e-01 3.00238480e-11 7.74357689e-10 2.45524608e-02]\n  [9.76696372e-01 2.05250730e-11 6.21895702e-10 2.33035833e-02]]\n\n [[9.15448427e-01 2.62131070e-05 1.03764360e-04 8.44216421e-02]\n  [9.57664192e-01 3.69289495e-07 1.85726992e-06 4.23335806e-02]\n  [9.69741940e-01 9.79458576e-08 6.17743638e-07 3.02574076e-02]\n  [9.69401896e-01 1.01668078e-07 6.96562438e-07 3.05973031e-02]\n  [9.68698919e-01 9.07007376e-08 6.66876247e-07 3.13002653e-02]]]\nPredicted mask after argmax for 2008_001210: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001210 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001210. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001210.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001210: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83973265e-01 1.17367286e-07 2.66827158e-07 1.60264280e-02]\n  [9.90419805e-01 2.57530330e-10 4.98197317e-10 9.58025828e-03]\n  [9.91052270e-01 3.66223024e-11 1.58802346e-10 8.94771703e-03]\n  [9.89679337e-01 2.85628084e-11 2.13566498e-10 1.03206979e-02]\n  [9.90815461e-01 6.33846231e-12 6.86388932e-11 9.18452442e-03]]\n\n [[9.96712565e-01 1.12147019e-11 6.48980730e-11 3.28742946e-03]\n  [9.95272517e-01 2.62138380e-15 1.54605553e-14 4.72740177e-03]\n  [9.92861927e-01 5.06024047e-16 1.07705559e-14 7.13804597e-03]\n  [9.90680397e-01 9.31137496e-16 4.59345222e-14 9.31959227e-03]\n  [9.91755605e-01 1.31668678e-16 1.26713571e-14 8.24440643e-03]]\n\n [[9.99195635e-01 4.47234175e-14 5.05242603e-13 8.04409792e-04]\n  [9.98605967e-01 3.96111484e-18 6.15265211e-17 1.39398733e-03]\n  [9.97055888e-01 1.04564563e-18 1.09693242e-16 2.94417585e-03]\n  [9.95552838e-01 1.69585591e-18 4.73731869e-16 4.44718916e-03]\n  [9.96264398e-01 1.44616193e-19 8.82199902e-17 3.73564544e-03]]\n\n ...\n\n [[9.60762441e-01 6.38089901e-08 4.14643353e-07 3.92370075e-02]\n  [9.74939346e-01 3.02720141e-11 5.58022184e-10 2.50606555e-02]\n  [9.79957402e-01 1.92575339e-12 7.09154124e-11 2.00425535e-02]\n  [9.82853949e-01 1.32870050e-12 5.79062423e-11 1.71460491e-02]\n  [9.83819664e-01 9.74550193e-13 4.50300318e-11 1.61803048e-02]]\n\n [[9.48903441e-01 3.41202082e-07 1.94228073e-06 5.10943346e-02]\n  [9.67149734e-01 4.02290479e-10 4.85817342e-09 3.28502692e-02]\n  [9.73990023e-01 4.21706801e-11 8.77887540e-10 2.60099620e-02]\n  [9.75447536e-01 3.00238480e-11 7.74357689e-10 2.45524608e-02]\n  [9.76696372e-01 2.05250730e-11 6.21895702e-10 2.33035833e-02]]\n\n [[9.15448427e-01 2.62131070e-05 1.03764360e-04 8.44216421e-02]\n  [9.57664192e-01 3.69289495e-07 1.85726992e-06 4.23335806e-02]\n  [9.69741940e-01 9.79458576e-08 6.17743638e-07 3.02574076e-02]\n  [9.69401896e-01 1.01668078e-07 6.96562438e-07 3.05973031e-02]\n  [9.68698919e-01 9.07007376e-08 6.66876247e-07 3.13002653e-02]]]\nPredicted mask after argmax for 2008_001210: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001210 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001210. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001218.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001218: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83277440e-01 1.16411535e-07 2.71544479e-07 1.67222526e-02]\n  [9.91091251e-01 1.61506489e-10 3.69771769e-10 8.90878215e-03]\n  [9.92471576e-01 1.77753229e-11 8.34514124e-11 7.52841681e-03]\n  [9.91581380e-01 1.53926663e-11 1.10553788e-10 8.41864012e-03]\n  [9.92265224e-01 5.10642917e-12 4.90315184e-11 7.73474388e-03]]\n\n [[9.95800197e-01 2.18185886e-11 1.24866159e-10 4.19979636e-03]\n  [9.95054722e-01 4.01860806e-15 2.55943643e-14 4.94527956e-03]\n  [9.93299842e-01 6.17031527e-16 1.17754571e-14 6.70012319e-03]\n  [9.91543293e-01 1.18968181e-15 4.41065573e-14 8.45671911e-03]\n  [9.92058933e-01 3.24913871e-16 2.07202758e-14 7.94115011e-03]]\n\n [[9.98564661e-01 4.56934566e-13 4.52413107e-12 1.43531826e-03]\n  [9.98095214e-01 5.28495090e-17 7.65584377e-16 1.90477259e-03]\n  [9.96540964e-01 1.34483826e-17 9.58272725e-16 3.45904357e-03]\n  [9.94140089e-01 4.04568909e-17 6.14259865e-15 5.85982436e-03]\n  [9.94654655e-01 8.91047559e-18 2.50055180e-15 5.34533709e-03]]\n\n ...\n\n [[8.86102557e-01 7.35152134e-05 2.03335789e-04 1.13620616e-01]\n  [8.80278289e-01 2.67978908e-06 1.12883281e-05 1.19707674e-01]\n  [8.84284973e-01 1.26554323e-06 7.49212359e-06 1.15706243e-01]\n  [8.84648442e-01 1.69201166e-06 1.10805004e-05 1.15338810e-01]\n  [8.83153856e-01 1.94455561e-06 1.26107279e-05 1.16831549e-01]]\n\n [[8.68544698e-01 1.64582685e-04 4.31499735e-04 1.30859137e-01]\n  [8.70994210e-01 7.34057585e-06 2.71571171e-05 1.28971249e-01]\n  [8.83625388e-01 3.59087016e-06 1.76994909e-05 1.16353244e-01]\n  [8.77098322e-01 4.57558826e-06 2.40969566e-05 1.22873046e-01]\n  [8.74304950e-01 4.95227277e-06 2.76942246e-05 1.25662342e-01]]\n\n [[8.21705163e-01 1.61512266e-03 3.51335038e-03 1.73166454e-01]\n  [8.68507922e-01 2.12945917e-04 5.25953888e-04 1.30753115e-01]\n  [8.81497979e-01 1.58902811e-04 4.31865221e-04 1.17911287e-01]\n  [8.73247921e-01 1.98137204e-04 5.53512014e-04 1.26000538e-01]\n  [8.63855422e-01 2.22217117e-04 6.28114911e-04 1.35294229e-01]]]\nPredicted mask after argmax for 2008_001218: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001218 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001218. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001218.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001218: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83277440e-01 1.16411535e-07 2.71544479e-07 1.67222526e-02]\n  [9.91091251e-01 1.61506489e-10 3.69771769e-10 8.90878215e-03]\n  [9.92471576e-01 1.77753229e-11 8.34514124e-11 7.52841681e-03]\n  [9.91581380e-01 1.53926663e-11 1.10553788e-10 8.41864012e-03]\n  [9.92265224e-01 5.10642917e-12 4.90315184e-11 7.73474388e-03]]\n\n [[9.95800197e-01 2.18185886e-11 1.24866159e-10 4.19979636e-03]\n  [9.95054722e-01 4.01860806e-15 2.55943643e-14 4.94527956e-03]\n  [9.93299842e-01 6.17031527e-16 1.17754571e-14 6.70012319e-03]\n  [9.91543293e-01 1.18968181e-15 4.41065573e-14 8.45671911e-03]\n  [9.92058933e-01 3.24913871e-16 2.07202758e-14 7.94115011e-03]]\n\n [[9.98564661e-01 4.56934566e-13 4.52413107e-12 1.43531826e-03]\n  [9.98095214e-01 5.28495090e-17 7.65584377e-16 1.90477259e-03]\n  [9.96540964e-01 1.34483826e-17 9.58272725e-16 3.45904357e-03]\n  [9.94140089e-01 4.04568909e-17 6.14259865e-15 5.85982436e-03]\n  [9.94654655e-01 8.91047559e-18 2.50055180e-15 5.34533709e-03]]\n\n ...\n\n [[8.86102557e-01 7.35152134e-05 2.03335789e-04 1.13620616e-01]\n  [8.80278289e-01 2.67978908e-06 1.12883281e-05 1.19707674e-01]\n  [8.84284973e-01 1.26554323e-06 7.49212359e-06 1.15706243e-01]\n  [8.84648442e-01 1.69201166e-06 1.10805004e-05 1.15338810e-01]\n  [8.83153856e-01 1.94455561e-06 1.26107279e-05 1.16831549e-01]]\n\n [[8.68544698e-01 1.64582685e-04 4.31499735e-04 1.30859137e-01]\n  [8.70994210e-01 7.34057585e-06 2.71571171e-05 1.28971249e-01]\n  [8.83625388e-01 3.59087016e-06 1.76994909e-05 1.16353244e-01]\n  [8.77098322e-01 4.57558826e-06 2.40969566e-05 1.22873046e-01]\n  [8.74304950e-01 4.95227277e-06 2.76942246e-05 1.25662342e-01]]\n\n [[8.21705163e-01 1.61512266e-03 3.51335038e-03 1.73166454e-01]\n  [8.68507922e-01 2.12945917e-04 5.25953888e-04 1.30753115e-01]\n  [8.81497979e-01 1.58902811e-04 4.31865221e-04 1.17911287e-01]\n  [8.73247921e-01 1.98137204e-04 5.53512014e-04 1.26000538e-01]\n  [8.63855422e-01 2.22217117e-04 6.28114911e-04 1.35294229e-01]]]\nPredicted mask after argmax for 2008_001218: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001218 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001218. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001220.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask shape for 2008_001220: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70564663e-01 1.59816796e-06 3.26228724e-06 2.94304173e-02]\n  [9.84420955e-01 5.73005154e-09 9.82391146e-09 1.55790458e-02]\n  [9.88187492e-01 5.53813106e-10 1.58339153e-09 1.18124699e-02]\n  [9.88518178e-01 2.59262889e-10 1.08362586e-09 1.14818001e-02]\n  [9.89916623e-01 8.82027298e-11 4.57729632e-10 1.00833829e-02]]\n\n [[9.89940464e-01 1.63434644e-09 6.80438861e-09 1.00594880e-02]\n  [9.89042461e-01 1.01913248e-12 4.33826412e-12 1.09575354e-02]\n  [9.85947251e-01 1.43161064e-13 1.27936561e-12 1.40527831e-02]\n  [9.84253705e-01 1.38539259e-13 2.20200594e-12 1.57462787e-02]\n  [9.85040963e-01 4.28709260e-14 1.03614448e-12 1.49590103e-02]]\n\n [[9.96022105e-01 5.42058273e-11 3.59331370e-10 3.97789758e-03]\n  [9.95104909e-01 2.64458018e-14 2.29611875e-13 4.89503331e-03]\n  [9.92344439e-01 6.19930878e-15 1.98871993e-13 7.65560521e-03]\n  [9.87802088e-01 1.16818608e-14 7.30375125e-13 1.21979602e-02]\n  [9.87976730e-01 3.61849002e-15 3.76461937e-13 1.20232450e-02]]\n\n ...\n\n [[8.83682191e-01 7.55279034e-05 2.06894460e-04 1.16035402e-01]\n  [8.80186737e-01 2.76529499e-06 1.17668751e-05 1.19798839e-01]\n  [8.80574226e-01 1.52913537e-06 8.69716496e-06 1.19415484e-01]\n  [8.78539443e-01 2.53359417e-06 1.55657399e-05 1.21442430e-01]\n  [8.73885334e-01 3.54892882e-06 2.09601894e-05 1.26090199e-01]]\n\n [[8.71367574e-01 1.42281089e-04 3.74226191e-04 1.28115863e-01]\n  [8.75694633e-01 6.24396625e-06 2.33252013e-05 1.24275856e-01]\n  [8.82779777e-01 3.66387349e-06 1.76166905e-05 1.17198966e-01]\n  [8.72925460e-01 5.89086630e-06 2.93546727e-05 1.27039239e-01]\n  [8.66896331e-01 7.76323395e-06 3.99403107e-05 1.33056089e-01]]\n\n [[8.27094793e-01 1.36928947e-03 2.99408194e-03 1.68541759e-01]\n  [8.72821569e-01 1.76079877e-04 4.35061491e-04 1.26567334e-01]\n  [8.82933855e-01 1.45332029e-04 3.88595363e-04 1.16532154e-01]\n  [8.72919381e-01 2.08893020e-04 5.65283117e-04 1.26306504e-01]\n  [8.61674070e-01 2.63654627e-04 7.08471693e-04 1.37353852e-01]]]\nPredicted mask after argmax for 2008_001220: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001220 has shape: (371, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001220. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001220.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001220: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70564663e-01 1.59816796e-06 3.26228724e-06 2.94304173e-02]\n  [9.84420955e-01 5.73005154e-09 9.82391146e-09 1.55790458e-02]\n  [9.88187492e-01 5.53813106e-10 1.58339153e-09 1.18124699e-02]\n  [9.88518178e-01 2.59262889e-10 1.08362586e-09 1.14818001e-02]\n  [9.89916623e-01 8.82027298e-11 4.57729632e-10 1.00833829e-02]]\n\n [[9.89940464e-01 1.63434644e-09 6.80438861e-09 1.00594880e-02]\n  [9.89042461e-01 1.01913248e-12 4.33826412e-12 1.09575354e-02]\n  [9.85947251e-01 1.43161064e-13 1.27936561e-12 1.40527831e-02]\n  [9.84253705e-01 1.38539259e-13 2.20200594e-12 1.57462787e-02]\n  [9.85040963e-01 4.28709260e-14 1.03614448e-12 1.49590103e-02]]\n\n [[9.96022105e-01 5.42058273e-11 3.59331370e-10 3.97789758e-03]\n  [9.95104909e-01 2.64458018e-14 2.29611875e-13 4.89503331e-03]\n  [9.92344439e-01 6.19930878e-15 1.98871993e-13 7.65560521e-03]\n  [9.87802088e-01 1.16818608e-14 7.30375125e-13 1.21979602e-02]\n  [9.87976730e-01 3.61849002e-15 3.76461937e-13 1.20232450e-02]]\n\n ...\n\n [[8.83682191e-01 7.55279034e-05 2.06894460e-04 1.16035402e-01]\n  [8.80186737e-01 2.76529499e-06 1.17668751e-05 1.19798839e-01]\n  [8.80574226e-01 1.52913537e-06 8.69716496e-06 1.19415484e-01]\n  [8.78539443e-01 2.53359417e-06 1.55657399e-05 1.21442430e-01]\n  [8.73885334e-01 3.54892882e-06 2.09601894e-05 1.26090199e-01]]\n\n [[8.71367574e-01 1.42281089e-04 3.74226191e-04 1.28115863e-01]\n  [8.75694633e-01 6.24396625e-06 2.33252013e-05 1.24275856e-01]\n  [8.82779777e-01 3.66387349e-06 1.76166905e-05 1.17198966e-01]\n  [8.72925460e-01 5.89086630e-06 2.93546727e-05 1.27039239e-01]\n  [8.66896331e-01 7.76323395e-06 3.99403107e-05 1.33056089e-01]]\n\n [[8.27094793e-01 1.36928947e-03 2.99408194e-03 1.68541759e-01]\n  [8.72821569e-01 1.76079877e-04 4.35061491e-04 1.26567334e-01]\n  [8.82933855e-01 1.45332029e-04 3.88595363e-04 1.16532154e-01]\n  [8.72919381e-01 2.08893020e-04 5.65283117e-04 1.26306504e-01]\n  [8.61674070e-01 2.63654627e-04 7.08471693e-04 1.37353852e-01]]]\nPredicted mask after argmax for 2008_001220: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001220 has shape: (371, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001220. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001220.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001220: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70564663e-01 1.59816796e-06 3.26228724e-06 2.94304173e-02]\n  [9.84420955e-01 5.73005154e-09 9.82391146e-09 1.55790458e-02]\n  [9.88187492e-01 5.53813106e-10 1.58339153e-09 1.18124699e-02]\n  [9.88518178e-01 2.59262889e-10 1.08362586e-09 1.14818001e-02]\n  [9.89916623e-01 8.82027298e-11 4.57729632e-10 1.00833829e-02]]\n\n [[9.89940464e-01 1.63434644e-09 6.80438861e-09 1.00594880e-02]\n  [9.89042461e-01 1.01913248e-12 4.33826412e-12 1.09575354e-02]\n  [9.85947251e-01 1.43161064e-13 1.27936561e-12 1.40527831e-02]\n  [9.84253705e-01 1.38539259e-13 2.20200594e-12 1.57462787e-02]\n  [9.85040963e-01 4.28709260e-14 1.03614448e-12 1.49590103e-02]]\n\n [[9.96022105e-01 5.42058273e-11 3.59331370e-10 3.97789758e-03]\n  [9.95104909e-01 2.64458018e-14 2.29611875e-13 4.89503331e-03]\n  [9.92344439e-01 6.19930878e-15 1.98871993e-13 7.65560521e-03]\n  [9.87802088e-01 1.16818608e-14 7.30375125e-13 1.21979602e-02]\n  [9.87976730e-01 3.61849002e-15 3.76461937e-13 1.20232450e-02]]\n\n ...\n\n [[8.83682191e-01 7.55279034e-05 2.06894460e-04 1.16035402e-01]\n  [8.80186737e-01 2.76529499e-06 1.17668751e-05 1.19798839e-01]\n  [8.80574226e-01 1.52913537e-06 8.69716496e-06 1.19415484e-01]\n  [8.78539443e-01 2.53359417e-06 1.55657399e-05 1.21442430e-01]\n  [8.73885334e-01 3.54892882e-06 2.09601894e-05 1.26090199e-01]]\n\n [[8.71367574e-01 1.42281089e-04 3.74226191e-04 1.28115863e-01]\n  [8.75694633e-01 6.24396625e-06 2.33252013e-05 1.24275856e-01]\n  [8.82779777e-01 3.66387349e-06 1.76166905e-05 1.17198966e-01]\n  [8.72925460e-01 5.89086630e-06 2.93546727e-05 1.27039239e-01]\n  [8.66896331e-01 7.76323395e-06 3.99403107e-05 1.33056089e-01]]\n\n [[8.27094793e-01 1.36928947e-03 2.99408194e-03 1.68541759e-01]\n  [8.72821569e-01 1.76079877e-04 4.35061491e-04 1.26567334e-01]\n  [8.82933855e-01 1.45332029e-04 3.88595363e-04 1.16532154e-01]\n  [8.72919381e-01 2.08893020e-04 5.65283117e-04 1.26306504e-01]\n  [8.61674070e-01 2.63654627e-04 7.08471693e-04 1.37353852e-01]]]\nPredicted mask after argmax for 2008_001220: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001220 has shape: (371, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001220. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001220.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001220: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70564663e-01 1.59816796e-06 3.26228724e-06 2.94304173e-02]\n  [9.84420955e-01 5.73005154e-09 9.82391146e-09 1.55790458e-02]\n  [9.88187492e-01 5.53813106e-10 1.58339153e-09 1.18124699e-02]\n  [9.88518178e-01 2.59262889e-10 1.08362586e-09 1.14818001e-02]\n  [9.89916623e-01 8.82027298e-11 4.57729632e-10 1.00833829e-02]]\n\n [[9.89940464e-01 1.63434644e-09 6.80438861e-09 1.00594880e-02]\n  [9.89042461e-01 1.01913248e-12 4.33826412e-12 1.09575354e-02]\n  [9.85947251e-01 1.43161064e-13 1.27936561e-12 1.40527831e-02]\n  [9.84253705e-01 1.38539259e-13 2.20200594e-12 1.57462787e-02]\n  [9.85040963e-01 4.28709260e-14 1.03614448e-12 1.49590103e-02]]\n\n [[9.96022105e-01 5.42058273e-11 3.59331370e-10 3.97789758e-03]\n  [9.95104909e-01 2.64458018e-14 2.29611875e-13 4.89503331e-03]\n  [9.92344439e-01 6.19930878e-15 1.98871993e-13 7.65560521e-03]\n  [9.87802088e-01 1.16818608e-14 7.30375125e-13 1.21979602e-02]\n  [9.87976730e-01 3.61849002e-15 3.76461937e-13 1.20232450e-02]]\n\n ...\n\n [[8.83682191e-01 7.55279034e-05 2.06894460e-04 1.16035402e-01]\n  [8.80186737e-01 2.76529499e-06 1.17668751e-05 1.19798839e-01]\n  [8.80574226e-01 1.52913537e-06 8.69716496e-06 1.19415484e-01]\n  [8.78539443e-01 2.53359417e-06 1.55657399e-05 1.21442430e-01]\n  [8.73885334e-01 3.54892882e-06 2.09601894e-05 1.26090199e-01]]\n\n [[8.71367574e-01 1.42281089e-04 3.74226191e-04 1.28115863e-01]\n  [8.75694633e-01 6.24396625e-06 2.33252013e-05 1.24275856e-01]\n  [8.82779777e-01 3.66387349e-06 1.76166905e-05 1.17198966e-01]\n  [8.72925460e-01 5.89086630e-06 2.93546727e-05 1.27039239e-01]\n  [8.66896331e-01 7.76323395e-06 3.99403107e-05 1.33056089e-01]]\n\n [[8.27094793e-01 1.36928947e-03 2.99408194e-03 1.68541759e-01]\n  [8.72821569e-01 1.76079877e-04 4.35061491e-04 1.26567334e-01]\n  [8.82933855e-01 1.45332029e-04 3.88595363e-04 1.16532154e-01]\n  [8.72919381e-01 2.08893020e-04 5.65283117e-04 1.26306504e-01]\n  [8.61674070e-01 2.63654627e-04 7.08471693e-04 1.37353852e-01]]]\nPredicted mask after argmax for 2008_001220: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001220 has shape: (371, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001220. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001235.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001235: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8291451e-01 1.5274668e-07 3.6566760e-07 1.7085079e-02]\n  [9.9319297e-01 1.1228649e-10 2.2952408e-10 6.8070320e-03]\n  [9.9607700e-01 2.7702777e-12 9.5034380e-12 3.9229742e-03]\n  [9.9704450e-01 3.7416478e-13 1.9010065e-12 2.9555159e-03]\n  [9.9831235e-01 2.2348920e-14 1.4430270e-13 1.6875963e-03]]\n\n [[9.9442869e-01 6.4016507e-11 3.5498024e-10 5.5712163e-03]\n  [9.9477130e-01 5.8378201e-15 3.5807057e-14 5.2286554e-03]\n  [9.9429119e-01 1.8661878e-16 2.5611225e-15 5.7088025e-03]\n  [9.9469072e-01 4.7505975e-17 1.2468080e-15 5.3092479e-03]\n  [9.9626189e-01 1.9766651e-18 8.4713677e-17 3.7380864e-03]]\n\n [[9.9798989e-01 1.7451736e-12 1.6969356e-11 2.0101164e-03]\n  [9.9777263e-01 1.3344538e-16 1.9926444e-15 2.2273478e-03]\n  [9.9665463e-01 8.4416958e-18 5.4910684e-16 3.3453447e-03]\n  [9.9575162e-01 4.6824858e-18 7.2336508e-16 4.2483313e-03]\n  [9.9674332e-01 2.5015953e-19 7.4860481e-17 3.2566725e-03]]\n\n ...\n\n [[9.0881914e-01 1.0261421e-05 3.7153932e-05 9.1133393e-02]\n  [9.1437972e-01 9.4259434e-08 7.2251197e-07 8.5619457e-02]\n  [9.3091857e-01 1.4049278e-08 1.7123948e-07 6.9081135e-02]\n  [9.3781990e-01 1.0393219e-08 1.4324046e-07 6.2179971e-02]\n  [9.4295710e-01 5.5780074e-09 8.5597101e-08 5.7042785e-02]]\n\n [[8.9741516e-01 2.2409524e-05 7.7034252e-05 1.0248543e-01]\n  [9.1100949e-01 2.8378207e-07 1.7306742e-06 8.8988505e-02]\n  [9.2616439e-01 5.5032757e-08 4.8926631e-07 7.3835224e-02]\n  [9.3171144e-01 4.0276937e-08 4.3010357e-07 6.8288140e-02]\n  [9.3617237e-01 2.3287759e-08 2.8599081e-07 6.3827299e-02]]\n\n [[8.6224401e-01 3.4983043e-04 9.4997376e-04 1.3645621e-01]\n  [9.1271567e-01 1.9989295e-05 6.4848624e-05 8.7199517e-02]\n  [9.3046683e-01 8.4813601e-06 3.3087708e-05 6.9491684e-02]\n  [9.2933559e-01 7.9177844e-06 3.3062199e-05 7.0623465e-02]\n  [9.2841023e-01 6.1586388e-06 2.7890339e-05 7.1555674e-02]]]\nPredicted mask after argmax for 2008_001235: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001235 has shape: (357, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001235. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001235.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001235: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8291451e-01 1.5274668e-07 3.6566760e-07 1.7085079e-02]\n  [9.9319297e-01 1.1228649e-10 2.2952408e-10 6.8070320e-03]\n  [9.9607700e-01 2.7702777e-12 9.5034380e-12 3.9229742e-03]\n  [9.9704450e-01 3.7416478e-13 1.9010065e-12 2.9555159e-03]\n  [9.9831235e-01 2.2348920e-14 1.4430270e-13 1.6875963e-03]]\n\n [[9.9442869e-01 6.4016507e-11 3.5498024e-10 5.5712163e-03]\n  [9.9477130e-01 5.8378201e-15 3.5807057e-14 5.2286554e-03]\n  [9.9429119e-01 1.8661878e-16 2.5611225e-15 5.7088025e-03]\n  [9.9469072e-01 4.7505975e-17 1.2468080e-15 5.3092479e-03]\n  [9.9626189e-01 1.9766651e-18 8.4713677e-17 3.7380864e-03]]\n\n [[9.9798989e-01 1.7451736e-12 1.6969356e-11 2.0101164e-03]\n  [9.9777263e-01 1.3344538e-16 1.9926444e-15 2.2273478e-03]\n  [9.9665463e-01 8.4416958e-18 5.4910684e-16 3.3453447e-03]\n  [9.9575162e-01 4.6824858e-18 7.2336508e-16 4.2483313e-03]\n  [9.9674332e-01 2.5015953e-19 7.4860481e-17 3.2566725e-03]]\n\n ...\n\n [[9.0881914e-01 1.0261421e-05 3.7153932e-05 9.1133393e-02]\n  [9.1437972e-01 9.4259434e-08 7.2251197e-07 8.5619457e-02]\n  [9.3091857e-01 1.4049278e-08 1.7123948e-07 6.9081135e-02]\n  [9.3781990e-01 1.0393219e-08 1.4324046e-07 6.2179971e-02]\n  [9.4295710e-01 5.5780074e-09 8.5597101e-08 5.7042785e-02]]\n\n [[8.9741516e-01 2.2409524e-05 7.7034252e-05 1.0248543e-01]\n  [9.1100949e-01 2.8378207e-07 1.7306742e-06 8.8988505e-02]\n  [9.2616439e-01 5.5032757e-08 4.8926631e-07 7.3835224e-02]\n  [9.3171144e-01 4.0276937e-08 4.3010357e-07 6.8288140e-02]\n  [9.3617237e-01 2.3287759e-08 2.8599081e-07 6.3827299e-02]]\n\n [[8.6224401e-01 3.4983043e-04 9.4997376e-04 1.3645621e-01]\n  [9.1271567e-01 1.9989295e-05 6.4848624e-05 8.7199517e-02]\n  [9.3046683e-01 8.4813601e-06 3.3087708e-05 6.9491684e-02]\n  [9.2933559e-01 7.9177844e-06 3.3062199e-05 7.0623465e-02]\n  [9.2841023e-01 6.1586388e-06 2.7890339e-05 7.1555674e-02]]]\nPredicted mask after argmax for 2008_001235: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001235 has shape: (357, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001235. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001235.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001235: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8291451e-01 1.5274668e-07 3.6566760e-07 1.7085079e-02]\n  [9.9319297e-01 1.1228649e-10 2.2952408e-10 6.8070320e-03]\n  [9.9607700e-01 2.7702777e-12 9.5034380e-12 3.9229742e-03]\n  [9.9704450e-01 3.7416478e-13 1.9010065e-12 2.9555159e-03]\n  [9.9831235e-01 2.2348920e-14 1.4430270e-13 1.6875963e-03]]\n\n [[9.9442869e-01 6.4016507e-11 3.5498024e-10 5.5712163e-03]\n  [9.9477130e-01 5.8378201e-15 3.5807057e-14 5.2286554e-03]\n  [9.9429119e-01 1.8661878e-16 2.5611225e-15 5.7088025e-03]\n  [9.9469072e-01 4.7505975e-17 1.2468080e-15 5.3092479e-03]\n  [9.9626189e-01 1.9766651e-18 8.4713677e-17 3.7380864e-03]]\n\n [[9.9798989e-01 1.7451736e-12 1.6969356e-11 2.0101164e-03]\n  [9.9777263e-01 1.3344538e-16 1.9926444e-15 2.2273478e-03]\n  [9.9665463e-01 8.4416958e-18 5.4910684e-16 3.3453447e-03]\n  [9.9575162e-01 4.6824858e-18 7.2336508e-16 4.2483313e-03]\n  [9.9674332e-01 2.5015953e-19 7.4860481e-17 3.2566725e-03]]\n\n ...\n\n [[9.0881914e-01 1.0261421e-05 3.7153932e-05 9.1133393e-02]\n  [9.1437972e-01 9.4259434e-08 7.2251197e-07 8.5619457e-02]\n  [9.3091857e-01 1.4049278e-08 1.7123948e-07 6.9081135e-02]\n  [9.3781990e-01 1.0393219e-08 1.4324046e-07 6.2179971e-02]\n  [9.4295710e-01 5.5780074e-09 8.5597101e-08 5.7042785e-02]]\n\n [[8.9741516e-01 2.2409524e-05 7.7034252e-05 1.0248543e-01]\n  [9.1100949e-01 2.8378207e-07 1.7306742e-06 8.8988505e-02]\n  [9.2616439e-01 5.5032757e-08 4.8926631e-07 7.3835224e-02]\n  [9.3171144e-01 4.0276937e-08 4.3010357e-07 6.8288140e-02]\n  [9.3617237e-01 2.3287759e-08 2.8599081e-07 6.3827299e-02]]\n\n [[8.6224401e-01 3.4983043e-04 9.4997376e-04 1.3645621e-01]\n  [9.1271567e-01 1.9989295e-05 6.4848624e-05 8.7199517e-02]\n  [9.3046683e-01 8.4813601e-06 3.3087708e-05 6.9491684e-02]\n  [9.2933559e-01 7.9177844e-06 3.3062199e-05 7.0623465e-02]\n  [9.2841023e-01 6.1586388e-06 2.7890339e-05 7.1555674e-02]]]\nPredicted mask after argmax for 2008_001235: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001235 has shape: (357, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001235. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001235.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001235: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8291451e-01 1.5274668e-07 3.6566760e-07 1.7085079e-02]\n  [9.9319297e-01 1.1228649e-10 2.2952408e-10 6.8070320e-03]\n  [9.9607700e-01 2.7702777e-12 9.5034380e-12 3.9229742e-03]\n  [9.9704450e-01 3.7416478e-13 1.9010065e-12 2.9555159e-03]\n  [9.9831235e-01 2.2348920e-14 1.4430270e-13 1.6875963e-03]]\n\n [[9.9442869e-01 6.4016507e-11 3.5498024e-10 5.5712163e-03]\n  [9.9477130e-01 5.8378201e-15 3.5807057e-14 5.2286554e-03]\n  [9.9429119e-01 1.8661878e-16 2.5611225e-15 5.7088025e-03]\n  [9.9469072e-01 4.7505975e-17 1.2468080e-15 5.3092479e-03]\n  [9.9626189e-01 1.9766651e-18 8.4713677e-17 3.7380864e-03]]\n\n [[9.9798989e-01 1.7451736e-12 1.6969356e-11 2.0101164e-03]\n  [9.9777263e-01 1.3344538e-16 1.9926444e-15 2.2273478e-03]\n  [9.9665463e-01 8.4416958e-18 5.4910684e-16 3.3453447e-03]\n  [9.9575162e-01 4.6824858e-18 7.2336508e-16 4.2483313e-03]\n  [9.9674332e-01 2.5015953e-19 7.4860481e-17 3.2566725e-03]]\n\n ...\n\n [[9.0881914e-01 1.0261421e-05 3.7153932e-05 9.1133393e-02]\n  [9.1437972e-01 9.4259434e-08 7.2251197e-07 8.5619457e-02]\n  [9.3091857e-01 1.4049278e-08 1.7123948e-07 6.9081135e-02]\n  [9.3781990e-01 1.0393219e-08 1.4324046e-07 6.2179971e-02]\n  [9.4295710e-01 5.5780074e-09 8.5597101e-08 5.7042785e-02]]\n\n [[8.9741516e-01 2.2409524e-05 7.7034252e-05 1.0248543e-01]\n  [9.1100949e-01 2.8378207e-07 1.7306742e-06 8.8988505e-02]\n  [9.2616439e-01 5.5032757e-08 4.8926631e-07 7.3835224e-02]\n  [9.3171144e-01 4.0276937e-08 4.3010357e-07 6.8288140e-02]\n  [9.3617237e-01 2.3287759e-08 2.8599081e-07 6.3827299e-02]]\n\n [[8.6224401e-01 3.4983043e-04 9.4997376e-04 1.3645621e-01]\n  [9.1271567e-01 1.9989295e-05 6.4848624e-05 8.7199517e-02]\n  [9.3046683e-01 8.4813601e-06 3.3087708e-05 6.9491684e-02]\n  [9.2933559e-01 7.9177844e-06 3.3062199e-05 7.0623465e-02]\n  [9.2841023e-01 6.1586388e-06 2.7890339e-05 7.1555674e-02]]]\nPredicted mask after argmax for 2008_001235: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001235 has shape: (357, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001235. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001238: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86706495e-01 6.43228049e-08 1.55665134e-07 1.32932588e-02]\n  [9.94326890e-01 5.36665538e-11 1.02269665e-10 5.67305367e-03]\n  [9.96090710e-01 2.54965320e-12 8.88908825e-12 3.90929962e-03]\n  [9.96349335e-01 8.20386023e-13 4.61043747e-12 3.65062850e-03]\n  [9.97045934e-01 1.74857416e-13 1.28281045e-12 2.95406603e-03]]\n\n [[9.96413708e-01 1.35805820e-11 7.81830573e-11 3.58628016e-03]\n  [9.96153414e-01 1.16126301e-15 6.77736430e-15 3.84659041e-03]\n  [9.94801044e-01 8.48797224e-17 1.23305371e-15 5.19898254e-03]\n  [9.94185209e-01 6.47407266e-17 1.95355719e-15 5.81480842e-03]\n  [9.94694352e-01 1.24718240e-17 6.38531817e-16 5.30558266e-03]]\n\n [[9.98929322e-01 1.67339151e-13 1.75232246e-12 1.07065833e-03]\n  [9.98692691e-01 9.59454733e-18 1.40234523e-16 1.30727759e-03]\n  [9.97806489e-01 1.18904773e-18 9.13736527e-17 2.19346350e-03]\n  [9.96105015e-01 2.16411790e-18 3.93303285e-16 3.89495376e-03]\n  [9.96264040e-01 4.28899248e-19 1.51989713e-16 3.73596512e-03]]\n\n ...\n\n [[9.02612984e-01 3.58733087e-05 1.04588355e-04 9.72466320e-02]\n  [8.94540608e-01 1.10339613e-06 4.89849754e-06 1.05453484e-01]\n  [8.96054983e-01 5.46324657e-07 3.52835832e-06 1.03940941e-01]\n  [8.94132674e-01 8.13150848e-07 5.87076102e-06 1.05860583e-01]\n  [8.91161919e-01 1.00494299e-06 7.15760370e-06 1.08829945e-01]]\n\n [[8.88963521e-01 7.65094373e-05 2.08959726e-04 1.10751018e-01]\n  [8.89910698e-01 2.84771909e-06 1.07785163e-05 1.10075638e-01]\n  [8.97940457e-01 1.52023256e-06 7.97766643e-06 1.02050088e-01]\n  [8.90631795e-01 2.19488038e-06 1.23562550e-05 1.09353706e-01]\n  [8.84052098e-01 2.59907188e-06 1.54320642e-05 1.15929887e-01]]\n\n [[8.46263409e-01 8.69109470e-04 1.98162510e-03 1.50885805e-01]\n  [8.90423834e-01 9.26404682e-05 2.41328205e-04 1.09242089e-01]\n  [8.99900794e-01 7.47092636e-05 2.09031932e-04 9.98154283e-02]\n  [8.92280579e-01 1.02563237e-04 2.94348283e-04 1.07322603e-01]\n  [8.82695556e-01 1.20710472e-04 3.49213049e-04 1.16834544e-01]]]\nPredicted mask after argmax for 2008_001238: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001238 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001238. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001238: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86706495e-01 6.43228049e-08 1.55665134e-07 1.32932588e-02]\n  [9.94326890e-01 5.36665538e-11 1.02269665e-10 5.67305367e-03]\n  [9.96090710e-01 2.54965320e-12 8.88908825e-12 3.90929962e-03]\n  [9.96349335e-01 8.20386023e-13 4.61043747e-12 3.65062850e-03]\n  [9.97045934e-01 1.74857416e-13 1.28281045e-12 2.95406603e-03]]\n\n [[9.96413708e-01 1.35805820e-11 7.81830573e-11 3.58628016e-03]\n  [9.96153414e-01 1.16126301e-15 6.77736430e-15 3.84659041e-03]\n  [9.94801044e-01 8.48797224e-17 1.23305371e-15 5.19898254e-03]\n  [9.94185209e-01 6.47407266e-17 1.95355719e-15 5.81480842e-03]\n  [9.94694352e-01 1.24718240e-17 6.38531817e-16 5.30558266e-03]]\n\n [[9.98929322e-01 1.67339151e-13 1.75232246e-12 1.07065833e-03]\n  [9.98692691e-01 9.59454733e-18 1.40234523e-16 1.30727759e-03]\n  [9.97806489e-01 1.18904773e-18 9.13736527e-17 2.19346350e-03]\n  [9.96105015e-01 2.16411790e-18 3.93303285e-16 3.89495376e-03]\n  [9.96264040e-01 4.28899248e-19 1.51989713e-16 3.73596512e-03]]\n\n ...\n\n [[9.02612984e-01 3.58733087e-05 1.04588355e-04 9.72466320e-02]\n  [8.94540608e-01 1.10339613e-06 4.89849754e-06 1.05453484e-01]\n  [8.96054983e-01 5.46324657e-07 3.52835832e-06 1.03940941e-01]\n  [8.94132674e-01 8.13150848e-07 5.87076102e-06 1.05860583e-01]\n  [8.91161919e-01 1.00494299e-06 7.15760370e-06 1.08829945e-01]]\n\n [[8.88963521e-01 7.65094373e-05 2.08959726e-04 1.10751018e-01]\n  [8.89910698e-01 2.84771909e-06 1.07785163e-05 1.10075638e-01]\n  [8.97940457e-01 1.52023256e-06 7.97766643e-06 1.02050088e-01]\n  [8.90631795e-01 2.19488038e-06 1.23562550e-05 1.09353706e-01]\n  [8.84052098e-01 2.59907188e-06 1.54320642e-05 1.15929887e-01]]\n\n [[8.46263409e-01 8.69109470e-04 1.98162510e-03 1.50885805e-01]\n  [8.90423834e-01 9.26404682e-05 2.41328205e-04 1.09242089e-01]\n  [8.99900794e-01 7.47092636e-05 2.09031932e-04 9.98154283e-02]\n  [8.92280579e-01 1.02563237e-04 2.94348283e-04 1.07322603e-01]\n  [8.82695556e-01 1.20710472e-04 3.49213049e-04 1.16834544e-01]]]\nPredicted mask after argmax for 2008_001238: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001238 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001238. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001238: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86706495e-01 6.43228049e-08 1.55665134e-07 1.32932588e-02]\n  [9.94326890e-01 5.36665538e-11 1.02269665e-10 5.67305367e-03]\n  [9.96090710e-01 2.54965320e-12 8.88908825e-12 3.90929962e-03]\n  [9.96349335e-01 8.20386023e-13 4.61043747e-12 3.65062850e-03]\n  [9.97045934e-01 1.74857416e-13 1.28281045e-12 2.95406603e-03]]\n\n [[9.96413708e-01 1.35805820e-11 7.81830573e-11 3.58628016e-03]\n  [9.96153414e-01 1.16126301e-15 6.77736430e-15 3.84659041e-03]\n  [9.94801044e-01 8.48797224e-17 1.23305371e-15 5.19898254e-03]\n  [9.94185209e-01 6.47407266e-17 1.95355719e-15 5.81480842e-03]\n  [9.94694352e-01 1.24718240e-17 6.38531817e-16 5.30558266e-03]]\n\n [[9.98929322e-01 1.67339151e-13 1.75232246e-12 1.07065833e-03]\n  [9.98692691e-01 9.59454733e-18 1.40234523e-16 1.30727759e-03]\n  [9.97806489e-01 1.18904773e-18 9.13736527e-17 2.19346350e-03]\n  [9.96105015e-01 2.16411790e-18 3.93303285e-16 3.89495376e-03]\n  [9.96264040e-01 4.28899248e-19 1.51989713e-16 3.73596512e-03]]\n\n ...\n\n [[9.02612984e-01 3.58733087e-05 1.04588355e-04 9.72466320e-02]\n  [8.94540608e-01 1.10339613e-06 4.89849754e-06 1.05453484e-01]\n  [8.96054983e-01 5.46324657e-07 3.52835832e-06 1.03940941e-01]\n  [8.94132674e-01 8.13150848e-07 5.87076102e-06 1.05860583e-01]\n  [8.91161919e-01 1.00494299e-06 7.15760370e-06 1.08829945e-01]]\n\n [[8.88963521e-01 7.65094373e-05 2.08959726e-04 1.10751018e-01]\n  [8.89910698e-01 2.84771909e-06 1.07785163e-05 1.10075638e-01]\n  [8.97940457e-01 1.52023256e-06 7.97766643e-06 1.02050088e-01]\n  [8.90631795e-01 2.19488038e-06 1.23562550e-05 1.09353706e-01]\n  [8.84052098e-01 2.59907188e-06 1.54320642e-05 1.15929887e-01]]\n\n [[8.46263409e-01 8.69109470e-04 1.98162510e-03 1.50885805e-01]\n  [8.90423834e-01 9.26404682e-05 2.41328205e-04 1.09242089e-01]\n  [8.99900794e-01 7.47092636e-05 2.09031932e-04 9.98154283e-02]\n  [8.92280579e-01 1.02563237e-04 2.94348283e-04 1.07322603e-01]\n  [8.82695556e-01 1.20710472e-04 3.49213049e-04 1.16834544e-01]]]\nPredicted mask after argmax for 2008_001238: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001238 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001238. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001238: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86706495e-01 6.43228049e-08 1.55665134e-07 1.32932588e-02]\n  [9.94326890e-01 5.36665538e-11 1.02269665e-10 5.67305367e-03]\n  [9.96090710e-01 2.54965320e-12 8.88908825e-12 3.90929962e-03]\n  [9.96349335e-01 8.20386023e-13 4.61043747e-12 3.65062850e-03]\n  [9.97045934e-01 1.74857416e-13 1.28281045e-12 2.95406603e-03]]\n\n [[9.96413708e-01 1.35805820e-11 7.81830573e-11 3.58628016e-03]\n  [9.96153414e-01 1.16126301e-15 6.77736430e-15 3.84659041e-03]\n  [9.94801044e-01 8.48797224e-17 1.23305371e-15 5.19898254e-03]\n  [9.94185209e-01 6.47407266e-17 1.95355719e-15 5.81480842e-03]\n  [9.94694352e-01 1.24718240e-17 6.38531817e-16 5.30558266e-03]]\n\n [[9.98929322e-01 1.67339151e-13 1.75232246e-12 1.07065833e-03]\n  [9.98692691e-01 9.59454733e-18 1.40234523e-16 1.30727759e-03]\n  [9.97806489e-01 1.18904773e-18 9.13736527e-17 2.19346350e-03]\n  [9.96105015e-01 2.16411790e-18 3.93303285e-16 3.89495376e-03]\n  [9.96264040e-01 4.28899248e-19 1.51989713e-16 3.73596512e-03]]\n\n ...\n\n [[9.02612984e-01 3.58733087e-05 1.04588355e-04 9.72466320e-02]\n  [8.94540608e-01 1.10339613e-06 4.89849754e-06 1.05453484e-01]\n  [8.96054983e-01 5.46324657e-07 3.52835832e-06 1.03940941e-01]\n  [8.94132674e-01 8.13150848e-07 5.87076102e-06 1.05860583e-01]\n  [8.91161919e-01 1.00494299e-06 7.15760370e-06 1.08829945e-01]]\n\n [[8.88963521e-01 7.65094373e-05 2.08959726e-04 1.10751018e-01]\n  [8.89910698e-01 2.84771909e-06 1.07785163e-05 1.10075638e-01]\n  [8.97940457e-01 1.52023256e-06 7.97766643e-06 1.02050088e-01]\n  [8.90631795e-01 2.19488038e-06 1.23562550e-05 1.09353706e-01]\n  [8.84052098e-01 2.59907188e-06 1.54320642e-05 1.15929887e-01]]\n\n [[8.46263409e-01 8.69109470e-04 1.98162510e-03 1.50885805e-01]\n  [8.90423834e-01 9.26404682e-05 2.41328205e-04 1.09242089e-01]\n  [8.99900794e-01 7.47092636e-05 2.09031932e-04 9.98154283e-02]\n  [8.92280579e-01 1.02563237e-04 2.94348283e-04 1.07322603e-01]\n  [8.82695556e-01 1.20710472e-04 3.49213049e-04 1.16834544e-01]]]\nPredicted mask after argmax for 2008_001238: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001238 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001238. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001248.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001248: (1, 256, 256, 4)\nSome predicted mask values: [[[9.39074695e-01 2.52966965e-05 4.52698478e-05 6.08548038e-02]\n  [9.60756958e-01 2.86211304e-07 5.16809223e-07 3.92422862e-02]\n  [9.67749476e-01 5.41769225e-08 1.49217684e-07 3.22504081e-02]\n  [9.67243433e-01 4.58387959e-08 1.58371961e-07 3.27565037e-02]\n  [9.67396438e-01 3.13168655e-08 1.24233949e-07 3.26034240e-02]]\n\n [[9.73183036e-01 1.04948199e-07 3.45967095e-07 2.68164854e-02]\n  [9.71682727e-01 3.05927728e-10 1.13905319e-09 2.83172354e-02]\n  [9.68505085e-01 6.73836889e-11 4.72303086e-10 3.14948931e-02]\n  [9.64495242e-01 9.96223173e-11 1.00456399e-09 3.55047472e-02]\n  [9.63365495e-01 6.95792451e-11 9.21169252e-10 3.66345681e-02]]\n\n [[9.86120641e-01 8.78603945e-09 4.31968630e-08 1.38793215e-02]\n  [9.83720541e-01 1.84914375e-11 1.25146352e-10 1.62794925e-02]\n  [9.78476226e-01 5.59999009e-12 9.94555063e-11 2.15237420e-02]\n  [9.70934153e-01 1.15125930e-11 3.17177812e-10 2.90658660e-02]\n  [9.70506608e-01 7.28355397e-12 2.66248718e-10 2.94933170e-02]]\n\n ...\n\n [[9.05966580e-01 2.33678329e-05 7.15716742e-05 9.39384699e-02]\n  [9.01279151e-01 4.52763032e-07 2.32110528e-06 9.87180322e-02]\n  [9.07869637e-01 1.33859800e-07 1.05815764e-06 9.21292230e-02]\n  [9.11990821e-01 1.41568592e-07 1.32668310e-06 8.80078077e-02]\n  [9.12304103e-01 1.37056972e-07 1.30538524e-06 8.76944363e-02]]\n\n [[8.98798048e-01 4.02823862e-05 1.18206182e-04 1.01043455e-01]\n  [9.01719511e-01 9.44691919e-07 4.08291226e-06 9.82754678e-02]\n  [9.14119899e-01 3.31327755e-07 2.09259474e-06 8.58776271e-02]\n  [9.11445379e-01 3.66825986e-07 2.59204944e-06 8.85516927e-02]\n  [9.08655465e-01 3.44137220e-07 2.65668700e-06 9.13415551e-02]]\n\n [[8.63189161e-01 4.72872896e-04 1.15486048e-03 1.35183111e-01]\n  [9.11239088e-01 3.36549019e-05 9.75900839e-05 8.86297300e-02]\n  [9.23709512e-01 2.10476828e-05 6.64760955e-05 7.62029663e-02]\n  [9.21578825e-01 2.44926159e-05 8.12505023e-05 7.83153102e-02]\n  [9.16979671e-01 2.51840156e-05 8.54481768e-05 8.29096809e-02]]]\nPredicted mask after argmax for 2008_001248: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001248 has shape: (480, 360)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001248. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001248.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001248: (1, 256, 256, 4)\nSome predicted mask values: [[[9.39074695e-01 2.52966965e-05 4.52698478e-05 6.08548038e-02]\n  [9.60756958e-01 2.86211304e-07 5.16809223e-07 3.92422862e-02]\n  [9.67749476e-01 5.41769225e-08 1.49217684e-07 3.22504081e-02]\n  [9.67243433e-01 4.58387959e-08 1.58371961e-07 3.27565037e-02]\n  [9.67396438e-01 3.13168655e-08 1.24233949e-07 3.26034240e-02]]\n\n [[9.73183036e-01 1.04948199e-07 3.45967095e-07 2.68164854e-02]\n  [9.71682727e-01 3.05927728e-10 1.13905319e-09 2.83172354e-02]\n  [9.68505085e-01 6.73836889e-11 4.72303086e-10 3.14948931e-02]\n  [9.64495242e-01 9.96223173e-11 1.00456399e-09 3.55047472e-02]\n  [9.63365495e-01 6.95792451e-11 9.21169252e-10 3.66345681e-02]]\n\n [[9.86120641e-01 8.78603945e-09 4.31968630e-08 1.38793215e-02]\n  [9.83720541e-01 1.84914375e-11 1.25146352e-10 1.62794925e-02]\n  [9.78476226e-01 5.59999009e-12 9.94555063e-11 2.15237420e-02]\n  [9.70934153e-01 1.15125930e-11 3.17177812e-10 2.90658660e-02]\n  [9.70506608e-01 7.28355397e-12 2.66248718e-10 2.94933170e-02]]\n\n ...\n\n [[9.05966580e-01 2.33678329e-05 7.15716742e-05 9.39384699e-02]\n  [9.01279151e-01 4.52763032e-07 2.32110528e-06 9.87180322e-02]\n  [9.07869637e-01 1.33859800e-07 1.05815764e-06 9.21292230e-02]\n  [9.11990821e-01 1.41568592e-07 1.32668310e-06 8.80078077e-02]\n  [9.12304103e-01 1.37056972e-07 1.30538524e-06 8.76944363e-02]]\n\n [[8.98798048e-01 4.02823862e-05 1.18206182e-04 1.01043455e-01]\n  [9.01719511e-01 9.44691919e-07 4.08291226e-06 9.82754678e-02]\n  [9.14119899e-01 3.31327755e-07 2.09259474e-06 8.58776271e-02]\n  [9.11445379e-01 3.66825986e-07 2.59204944e-06 8.85516927e-02]\n  [9.08655465e-01 3.44137220e-07 2.65668700e-06 9.13415551e-02]]\n\n [[8.63189161e-01 4.72872896e-04 1.15486048e-03 1.35183111e-01]\n  [9.11239088e-01 3.36549019e-05 9.75900839e-05 8.86297300e-02]\n  [9.23709512e-01 2.10476828e-05 6.64760955e-05 7.62029663e-02]\n  [9.21578825e-01 2.44926159e-05 8.12505023e-05 7.83153102e-02]\n  [9.16979671e-01 2.51840156e-05 8.54481768e-05 8.29096809e-02]]]\nPredicted mask after argmax for 2008_001248: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001248 has shape: (480, 360)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001248. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001248.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001248: (1, 256, 256, 4)\nSome predicted mask values: [[[9.39074695e-01 2.52966965e-05 4.52698478e-05 6.08548038e-02]\n  [9.60756958e-01 2.86211304e-07 5.16809223e-07 3.92422862e-02]\n  [9.67749476e-01 5.41769225e-08 1.49217684e-07 3.22504081e-02]\n  [9.67243433e-01 4.58387959e-08 1.58371961e-07 3.27565037e-02]\n  [9.67396438e-01 3.13168655e-08 1.24233949e-07 3.26034240e-02]]\n\n [[9.73183036e-01 1.04948199e-07 3.45967095e-07 2.68164854e-02]\n  [9.71682727e-01 3.05927728e-10 1.13905319e-09 2.83172354e-02]\n  [9.68505085e-01 6.73836889e-11 4.72303086e-10 3.14948931e-02]\n  [9.64495242e-01 9.96223173e-11 1.00456399e-09 3.55047472e-02]\n  [9.63365495e-01 6.95792451e-11 9.21169252e-10 3.66345681e-02]]\n\n [[9.86120641e-01 8.78603945e-09 4.31968630e-08 1.38793215e-02]\n  [9.83720541e-01 1.84914375e-11 1.25146352e-10 1.62794925e-02]\n  [9.78476226e-01 5.59999009e-12 9.94555063e-11 2.15237420e-02]\n  [9.70934153e-01 1.15125930e-11 3.17177812e-10 2.90658660e-02]\n  [9.70506608e-01 7.28355397e-12 2.66248718e-10 2.94933170e-02]]\n\n ...\n\n [[9.05966580e-01 2.33678329e-05 7.15716742e-05 9.39384699e-02]\n  [9.01279151e-01 4.52763032e-07 2.32110528e-06 9.87180322e-02]\n  [9.07869637e-01 1.33859800e-07 1.05815764e-06 9.21292230e-02]\n  [9.11990821e-01 1.41568592e-07 1.32668310e-06 8.80078077e-02]\n  [9.12304103e-01 1.37056972e-07 1.30538524e-06 8.76944363e-02]]\n\n [[8.98798048e-01 4.02823862e-05 1.18206182e-04 1.01043455e-01]\n  [9.01719511e-01 9.44691919e-07 4.08291226e-06 9.82754678e-02]\n  [9.14119899e-01 3.31327755e-07 2.09259474e-06 8.58776271e-02]\n  [9.11445379e-01 3.66825986e-07 2.59204944e-06 8.85516927e-02]\n  [9.08655465e-01 3.44137220e-07 2.65668700e-06 9.13415551e-02]]\n\n [[8.63189161e-01 4.72872896e-04 1.15486048e-03 1.35183111e-01]\n  [9.11239088e-01 3.36549019e-05 9.75900839e-05 8.86297300e-02]\n  [9.23709512e-01 2.10476828e-05 6.64760955e-05 7.62029663e-02]\n  [9.21578825e-01 2.44926159e-05 8.12505023e-05 7.83153102e-02]\n  [9.16979671e-01 2.51840156e-05 8.54481768e-05 8.29096809e-02]]]\nPredicted mask after argmax for 2008_001248: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001248 has shape: (480, 360)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001248. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001248.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001248: (1, 256, 256, 4)\nSome predicted mask values: [[[9.39074695e-01 2.52966965e-05 4.52698478e-05 6.08548038e-02]\n  [9.60756958e-01 2.86211304e-07 5.16809223e-07 3.92422862e-02]\n  [9.67749476e-01 5.41769225e-08 1.49217684e-07 3.22504081e-02]\n  [9.67243433e-01 4.58387959e-08 1.58371961e-07 3.27565037e-02]\n  [9.67396438e-01 3.13168655e-08 1.24233949e-07 3.26034240e-02]]\n\n [[9.73183036e-01 1.04948199e-07 3.45967095e-07 2.68164854e-02]\n  [9.71682727e-01 3.05927728e-10 1.13905319e-09 2.83172354e-02]\n  [9.68505085e-01 6.73836889e-11 4.72303086e-10 3.14948931e-02]\n  [9.64495242e-01 9.96223173e-11 1.00456399e-09 3.55047472e-02]\n  [9.63365495e-01 6.95792451e-11 9.21169252e-10 3.66345681e-02]]\n\n [[9.86120641e-01 8.78603945e-09 4.31968630e-08 1.38793215e-02]\n  [9.83720541e-01 1.84914375e-11 1.25146352e-10 1.62794925e-02]\n  [9.78476226e-01 5.59999009e-12 9.94555063e-11 2.15237420e-02]\n  [9.70934153e-01 1.15125930e-11 3.17177812e-10 2.90658660e-02]\n  [9.70506608e-01 7.28355397e-12 2.66248718e-10 2.94933170e-02]]\n\n ...\n\n [[9.05966580e-01 2.33678329e-05 7.15716742e-05 9.39384699e-02]\n  [9.01279151e-01 4.52763032e-07 2.32110528e-06 9.87180322e-02]\n  [9.07869637e-01 1.33859800e-07 1.05815764e-06 9.21292230e-02]\n  [9.11990821e-01 1.41568592e-07 1.32668310e-06 8.80078077e-02]\n  [9.12304103e-01 1.37056972e-07 1.30538524e-06 8.76944363e-02]]\n\n [[8.98798048e-01 4.02823862e-05 1.18206182e-04 1.01043455e-01]\n  [9.01719511e-01 9.44691919e-07 4.08291226e-06 9.82754678e-02]\n  [9.14119899e-01 3.31327755e-07 2.09259474e-06 8.58776271e-02]\n  [9.11445379e-01 3.66825986e-07 2.59204944e-06 8.85516927e-02]\n  [9.08655465e-01 3.44137220e-07 2.65668700e-06 9.13415551e-02]]\n\n [[8.63189161e-01 4.72872896e-04 1.15486048e-03 1.35183111e-01]\n  [9.11239088e-01 3.36549019e-05 9.75900839e-05 8.86297300e-02]\n  [9.23709512e-01 2.10476828e-05 6.64760955e-05 7.62029663e-02]\n  [9.21578825e-01 2.44926159e-05 8.12505023e-05 7.83153102e-02]\n  [9.16979671e-01 2.51840156e-05 8.54481768e-05 8.29096809e-02]]]\nPredicted mask after argmax for 2008_001248: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001248 has shape: (480, 360)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001248. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001267.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001267: (1, 256, 256, 4)\nSome predicted mask values: [[[9.29010093e-01 5.34031278e-05 9.06271816e-05 7.08459020e-02]\n  [9.51486766e-01 9.42075530e-07 1.52622715e-06 4.85108830e-02]\n  [9.58529115e-01 2.13669580e-07 5.23291078e-07 4.14700545e-02]\n  [9.57427442e-01 1.77822628e-07 5.52231427e-07 4.25717644e-02]\n  [9.58164990e-01 1.18413780e-07 4.19912652e-07 4.18344140e-02]]\n\n [[9.68068957e-01 3.05574474e-07 9.09293362e-07 3.19297090e-02]\n  [9.65144336e-01 1.52113488e-09 4.87680385e-09 3.48556302e-02]\n  [9.59445000e-01 4.32790442e-10 2.52390620e-09 4.05549482e-02]\n  [9.53872681e-01 6.34725272e-10 5.35476241e-09 4.61273231e-02]\n  [9.52637672e-01 4.30329189e-10 4.72708228e-09 4.73623760e-02]]\n\n [[9.82946157e-01 2.78278982e-08 1.18156677e-07 1.70537047e-02]\n  [9.79354799e-01 1.09277296e-10 5.93524618e-10 2.06451360e-02]\n  [9.72005188e-01 4.33863813e-11 5.97996819e-10 2.79947761e-02]\n  [9.61158872e-01 9.03182459e-11 1.91325644e-09 3.88411134e-02]\n  [9.60955143e-01 5.29089238e-11 1.49794155e-09 3.90448011e-02]]\n\n ...\n\n [[9.56858337e-01 6.86505928e-08 4.63502658e-07 4.31410782e-02]\n  [9.74828660e-01 2.49248625e-11 5.17671905e-10 2.51713526e-02]\n  [9.81537163e-01 1.31925623e-12 5.33336361e-11 1.84628125e-02]\n  [9.83541429e-01 1.01732793e-12 4.63272164e-11 1.64585393e-02]\n  [9.83922362e-01 8.97439458e-13 4.22730670e-11 1.60776451e-02]]\n\n [[9.46585774e-01 3.10573171e-07 1.84214389e-06 5.34120984e-02]\n  [9.68731701e-01 2.72560696e-10 3.62580033e-09 3.12683173e-02]\n  [9.76307750e-01 2.43562063e-11 5.44275236e-10 2.36922819e-02]\n  [9.77383852e-01 1.80344021e-11 4.91554741e-10 2.26160940e-02]\n  [9.77751553e-01 1.53321331e-11 4.73780681e-10 2.22484171e-02]]\n\n [[9.14331377e-01 2.43719733e-05 9.78384633e-05 8.55463743e-02]\n  [9.59212005e-01 2.77448748e-07 1.45377476e-06 4.07862999e-02]\n  [9.72184658e-01 6.39314521e-08 4.26739831e-07 2.78147347e-02]\n  [9.71626580e-01 6.56236665e-08 4.71145000e-07 2.83728428e-02]\n  [9.70722258e-01 6.61464057e-08 4.98226484e-07 2.92771291e-02]]]\nPredicted mask after argmax for 2008_001267: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001267 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001267. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001267.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001267: (1, 256, 256, 4)\nSome predicted mask values: [[[9.29010093e-01 5.34031278e-05 9.06271816e-05 7.08459020e-02]\n  [9.51486766e-01 9.42075530e-07 1.52622715e-06 4.85108830e-02]\n  [9.58529115e-01 2.13669580e-07 5.23291078e-07 4.14700545e-02]\n  [9.57427442e-01 1.77822628e-07 5.52231427e-07 4.25717644e-02]\n  [9.58164990e-01 1.18413780e-07 4.19912652e-07 4.18344140e-02]]\n\n [[9.68068957e-01 3.05574474e-07 9.09293362e-07 3.19297090e-02]\n  [9.65144336e-01 1.52113488e-09 4.87680385e-09 3.48556302e-02]\n  [9.59445000e-01 4.32790442e-10 2.52390620e-09 4.05549482e-02]\n  [9.53872681e-01 6.34725272e-10 5.35476241e-09 4.61273231e-02]\n  [9.52637672e-01 4.30329189e-10 4.72708228e-09 4.73623760e-02]]\n\n [[9.82946157e-01 2.78278982e-08 1.18156677e-07 1.70537047e-02]\n  [9.79354799e-01 1.09277296e-10 5.93524618e-10 2.06451360e-02]\n  [9.72005188e-01 4.33863813e-11 5.97996819e-10 2.79947761e-02]\n  [9.61158872e-01 9.03182459e-11 1.91325644e-09 3.88411134e-02]\n  [9.60955143e-01 5.29089238e-11 1.49794155e-09 3.90448011e-02]]\n\n ...\n\n [[9.56858337e-01 6.86505928e-08 4.63502658e-07 4.31410782e-02]\n  [9.74828660e-01 2.49248625e-11 5.17671905e-10 2.51713526e-02]\n  [9.81537163e-01 1.31925623e-12 5.33336361e-11 1.84628125e-02]\n  [9.83541429e-01 1.01732793e-12 4.63272164e-11 1.64585393e-02]\n  [9.83922362e-01 8.97439458e-13 4.22730670e-11 1.60776451e-02]]\n\n [[9.46585774e-01 3.10573171e-07 1.84214389e-06 5.34120984e-02]\n  [9.68731701e-01 2.72560696e-10 3.62580033e-09 3.12683173e-02]\n  [9.76307750e-01 2.43562063e-11 5.44275236e-10 2.36922819e-02]\n  [9.77383852e-01 1.80344021e-11 4.91554741e-10 2.26160940e-02]\n  [9.77751553e-01 1.53321331e-11 4.73780681e-10 2.22484171e-02]]\n\n [[9.14331377e-01 2.43719733e-05 9.78384633e-05 8.55463743e-02]\n  [9.59212005e-01 2.77448748e-07 1.45377476e-06 4.07862999e-02]\n  [9.72184658e-01 6.39314521e-08 4.26739831e-07 2.78147347e-02]\n  [9.71626580e-01 6.56236665e-08 4.71145000e-07 2.83728428e-02]\n  [9.70722258e-01 6.61464057e-08 4.98226484e-07 2.92771291e-02]]]\nPredicted mask after argmax for 2008_001267: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001267 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001267. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001267.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001267: (1, 256, 256, 4)\nSome predicted mask values: [[[9.29010093e-01 5.34031278e-05 9.06271816e-05 7.08459020e-02]\n  [9.51486766e-01 9.42075530e-07 1.52622715e-06 4.85108830e-02]\n  [9.58529115e-01 2.13669580e-07 5.23291078e-07 4.14700545e-02]\n  [9.57427442e-01 1.77822628e-07 5.52231427e-07 4.25717644e-02]\n  [9.58164990e-01 1.18413780e-07 4.19912652e-07 4.18344140e-02]]\n\n [[9.68068957e-01 3.05574474e-07 9.09293362e-07 3.19297090e-02]\n  [9.65144336e-01 1.52113488e-09 4.87680385e-09 3.48556302e-02]\n  [9.59445000e-01 4.32790442e-10 2.52390620e-09 4.05549482e-02]\n  [9.53872681e-01 6.34725272e-10 5.35476241e-09 4.61273231e-02]\n  [9.52637672e-01 4.30329189e-10 4.72708228e-09 4.73623760e-02]]\n\n [[9.82946157e-01 2.78278982e-08 1.18156677e-07 1.70537047e-02]\n  [9.79354799e-01 1.09277296e-10 5.93524618e-10 2.06451360e-02]\n  [9.72005188e-01 4.33863813e-11 5.97996819e-10 2.79947761e-02]\n  [9.61158872e-01 9.03182459e-11 1.91325644e-09 3.88411134e-02]\n  [9.60955143e-01 5.29089238e-11 1.49794155e-09 3.90448011e-02]]\n\n ...\n\n [[9.56858337e-01 6.86505928e-08 4.63502658e-07 4.31410782e-02]\n  [9.74828660e-01 2.49248625e-11 5.17671905e-10 2.51713526e-02]\n  [9.81537163e-01 1.31925623e-12 5.33336361e-11 1.84628125e-02]\n  [9.83541429e-01 1.01732793e-12 4.63272164e-11 1.64585393e-02]\n  [9.83922362e-01 8.97439458e-13 4.22730670e-11 1.60776451e-02]]\n\n [[9.46585774e-01 3.10573171e-07 1.84214389e-06 5.34120984e-02]\n  [9.68731701e-01 2.72560696e-10 3.62580033e-09 3.12683173e-02]\n  [9.76307750e-01 2.43562063e-11 5.44275236e-10 2.36922819e-02]\n  [9.77383852e-01 1.80344021e-11 4.91554741e-10 2.26160940e-02]\n  [9.77751553e-01 1.53321331e-11 4.73780681e-10 2.22484171e-02]]\n\n [[9.14331377e-01 2.43719733e-05 9.78384633e-05 8.55463743e-02]\n  [9.59212005e-01 2.77448748e-07 1.45377476e-06 4.07862999e-02]\n  [9.72184658e-01 6.39314521e-08 4.26739831e-07 2.78147347e-02]\n  [9.71626580e-01 6.56236665e-08 4.71145000e-07 2.83728428e-02]\n  [9.70722258e-01 6.61464057e-08 4.98226484e-07 2.92771291e-02]]]\nPredicted mask after argmax for 2008_001267: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001267 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001267. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001278.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001278: (1, 256, 256, 4)\nSome predicted mask values: [[[9.56673384e-01 5.07294408e-06 9.95998380e-06 4.33116741e-02]\n  [9.73993540e-01 2.52473740e-08 5.35780131e-08 2.60064881e-02]\n  [9.78586614e-01 3.47238061e-09 1.29671802e-08 2.14134138e-02]\n  [9.77511048e-01 2.84783486e-09 1.43334278e-08 2.24889405e-02]\n  [9.77948308e-01 1.58502378e-09 9.72974856e-09 2.20516603e-02]]\n\n [[9.84959900e-01 6.12421625e-09 2.48912979e-08 1.50400866e-02]\n  [9.83956754e-01 5.61002243e-12 2.79683204e-11 1.60432775e-02]\n  [9.82430220e-01 7.51672054e-13 9.06306193e-12 1.75698381e-02]\n  [9.79920685e-01 1.00863989e-12 1.99167783e-11 2.00793166e-02]\n  [9.80601013e-01 4.80258628e-13 1.39146012e-11 1.93989892e-02]]\n\n [[9.93643165e-01 2.40410580e-10 1.57338931e-09 6.35686237e-03]\n  [9.92381334e-01 1.27321886e-13 1.28646735e-12 7.61873322e-03]\n  [9.89577174e-01 2.37103614e-14 8.32652686e-13 1.04228128e-02]\n  [9.86434877e-01 3.91333694e-14 2.40021197e-12 1.35650514e-02]\n  [9.87083852e-01 1.66799151e-14 1.52209788e-12 1.29161440e-02]]\n\n ...\n\n [[9.08921480e-01 1.71420415e-05 5.74229998e-05 9.10040066e-02]\n  [9.13850665e-01 2.52776800e-07 1.36987012e-06 8.61477107e-02]\n  [9.18351591e-01 8.19048651e-08 7.02601142e-07 8.16476792e-02]\n  [9.20066297e-01 9.69734231e-08 9.56975668e-07 7.99325407e-02]\n  [9.18314874e-01 1.15926262e-07 1.14432032e-06 8.16839188e-02]]\n\n [[8.90373886e-01 4.93442640e-05 1.54020570e-04 1.09422766e-01]\n  [9.01085615e-01 1.01555327e-06 4.73902446e-06 9.89086553e-02]\n  [9.13667500e-01 3.54517539e-07 2.42856345e-06 8.63297358e-02]\n  [9.10575747e-01 3.91432394e-07 2.95099949e-06 8.94208625e-02]\n  [9.08014953e-01 4.17649545e-07 3.41978284e-06 9.19811577e-02]]\n\n [[8.45388114e-01 7.47891667e-04 1.86282443e-03 1.52001217e-01]\n  [8.92485499e-01 6.24076274e-05 1.84176795e-04 1.07267834e-01]\n  [9.06826377e-01 3.75822965e-05 1.27909720e-04 9.30081457e-02]\n  [9.01137590e-01 4.46670529e-05 1.57557501e-04 9.86600891e-02]\n  [8.93658400e-01 4.98534537e-05 1.79360286e-04 1.06112331e-01]]]\nPredicted mask after argmax for 2008_001278: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001278 has shape: (300, 400)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001278. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001278.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001278: (1, 256, 256, 4)\nSome predicted mask values: [[[9.56673384e-01 5.07294408e-06 9.95998380e-06 4.33116741e-02]\n  [9.73993540e-01 2.52473740e-08 5.35780131e-08 2.60064881e-02]\n  [9.78586614e-01 3.47238061e-09 1.29671802e-08 2.14134138e-02]\n  [9.77511048e-01 2.84783486e-09 1.43334278e-08 2.24889405e-02]\n  [9.77948308e-01 1.58502378e-09 9.72974856e-09 2.20516603e-02]]\n\n [[9.84959900e-01 6.12421625e-09 2.48912979e-08 1.50400866e-02]\n  [9.83956754e-01 5.61002243e-12 2.79683204e-11 1.60432775e-02]\n  [9.82430220e-01 7.51672054e-13 9.06306193e-12 1.75698381e-02]\n  [9.79920685e-01 1.00863989e-12 1.99167783e-11 2.00793166e-02]\n  [9.80601013e-01 4.80258628e-13 1.39146012e-11 1.93989892e-02]]\n\n [[9.93643165e-01 2.40410580e-10 1.57338931e-09 6.35686237e-03]\n  [9.92381334e-01 1.27321886e-13 1.28646735e-12 7.61873322e-03]\n  [9.89577174e-01 2.37103614e-14 8.32652686e-13 1.04228128e-02]\n  [9.86434877e-01 3.91333694e-14 2.40021197e-12 1.35650514e-02]\n  [9.87083852e-01 1.66799151e-14 1.52209788e-12 1.29161440e-02]]\n\n ...\n\n [[9.08921480e-01 1.71420415e-05 5.74229998e-05 9.10040066e-02]\n  [9.13850665e-01 2.52776800e-07 1.36987012e-06 8.61477107e-02]\n  [9.18351591e-01 8.19048651e-08 7.02601142e-07 8.16476792e-02]\n  [9.20066297e-01 9.69734231e-08 9.56975668e-07 7.99325407e-02]\n  [9.18314874e-01 1.15926262e-07 1.14432032e-06 8.16839188e-02]]\n\n [[8.90373886e-01 4.93442640e-05 1.54020570e-04 1.09422766e-01]\n  [9.01085615e-01 1.01555327e-06 4.73902446e-06 9.89086553e-02]\n  [9.13667500e-01 3.54517539e-07 2.42856345e-06 8.63297358e-02]\n  [9.10575747e-01 3.91432394e-07 2.95099949e-06 8.94208625e-02]\n  [9.08014953e-01 4.17649545e-07 3.41978284e-06 9.19811577e-02]]\n\n [[8.45388114e-01 7.47891667e-04 1.86282443e-03 1.52001217e-01]\n  [8.92485499e-01 6.24076274e-05 1.84176795e-04 1.07267834e-01]\n  [9.06826377e-01 3.75822965e-05 1.27909720e-04 9.30081457e-02]\n  [9.01137590e-01 4.46670529e-05 1.57557501e-04 9.86600891e-02]\n  [8.93658400e-01 4.98534537e-05 1.79360286e-04 1.06112331e-01]]]\nPredicted mask after argmax for 2008_001278: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001278 has shape: (300, 400)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001278. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001278.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001278: (1, 256, 256, 4)\nSome predicted mask values: [[[9.56673384e-01 5.07294408e-06 9.95998380e-06 4.33116741e-02]\n  [9.73993540e-01 2.52473740e-08 5.35780131e-08 2.60064881e-02]\n  [9.78586614e-01 3.47238061e-09 1.29671802e-08 2.14134138e-02]\n  [9.77511048e-01 2.84783486e-09 1.43334278e-08 2.24889405e-02]\n  [9.77948308e-01 1.58502378e-09 9.72974856e-09 2.20516603e-02]]\n\n [[9.84959900e-01 6.12421625e-09 2.48912979e-08 1.50400866e-02]\n  [9.83956754e-01 5.61002243e-12 2.79683204e-11 1.60432775e-02]\n  [9.82430220e-01 7.51672054e-13 9.06306193e-12 1.75698381e-02]\n  [9.79920685e-01 1.00863989e-12 1.99167783e-11 2.00793166e-02]\n  [9.80601013e-01 4.80258628e-13 1.39146012e-11 1.93989892e-02]]\n\n [[9.93643165e-01 2.40410580e-10 1.57338931e-09 6.35686237e-03]\n  [9.92381334e-01 1.27321886e-13 1.28646735e-12 7.61873322e-03]\n  [9.89577174e-01 2.37103614e-14 8.32652686e-13 1.04228128e-02]\n  [9.86434877e-01 3.91333694e-14 2.40021197e-12 1.35650514e-02]\n  [9.87083852e-01 1.66799151e-14 1.52209788e-12 1.29161440e-02]]\n\n ...\n\n [[9.08921480e-01 1.71420415e-05 5.74229998e-05 9.10040066e-02]\n  [9.13850665e-01 2.52776800e-07 1.36987012e-06 8.61477107e-02]\n  [9.18351591e-01 8.19048651e-08 7.02601142e-07 8.16476792e-02]\n  [9.20066297e-01 9.69734231e-08 9.56975668e-07 7.99325407e-02]\n  [9.18314874e-01 1.15926262e-07 1.14432032e-06 8.16839188e-02]]\n\n [[8.90373886e-01 4.93442640e-05 1.54020570e-04 1.09422766e-01]\n  [9.01085615e-01 1.01555327e-06 4.73902446e-06 9.89086553e-02]\n  [9.13667500e-01 3.54517539e-07 2.42856345e-06 8.63297358e-02]\n  [9.10575747e-01 3.91432394e-07 2.95099949e-06 8.94208625e-02]\n  [9.08014953e-01 4.17649545e-07 3.41978284e-06 9.19811577e-02]]\n\n [[8.45388114e-01 7.47891667e-04 1.86282443e-03 1.52001217e-01]\n  [8.92485499e-01 6.24076274e-05 1.84176795e-04 1.07267834e-01]\n  [9.06826377e-01 3.75822965e-05 1.27909720e-04 9.30081457e-02]\n  [9.01137590e-01 4.46670529e-05 1.57557501e-04 9.86600891e-02]\n  [8.93658400e-01 4.98534537e-05 1.79360286e-04 1.06112331e-01]]]\nPredicted mask after argmax for 2008_001278: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001278 has shape: (300, 400)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001278. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001278.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001278: (1, 256, 256, 4)\nSome predicted mask values: [[[9.56673384e-01 5.07294408e-06 9.95998380e-06 4.33116741e-02]\n  [9.73993540e-01 2.52473740e-08 5.35780131e-08 2.60064881e-02]\n  [9.78586614e-01 3.47238061e-09 1.29671802e-08 2.14134138e-02]\n  [9.77511048e-01 2.84783486e-09 1.43334278e-08 2.24889405e-02]\n  [9.77948308e-01 1.58502378e-09 9.72974856e-09 2.20516603e-02]]\n\n [[9.84959900e-01 6.12421625e-09 2.48912979e-08 1.50400866e-02]\n  [9.83956754e-01 5.61002243e-12 2.79683204e-11 1.60432775e-02]\n  [9.82430220e-01 7.51672054e-13 9.06306193e-12 1.75698381e-02]\n  [9.79920685e-01 1.00863989e-12 1.99167783e-11 2.00793166e-02]\n  [9.80601013e-01 4.80258628e-13 1.39146012e-11 1.93989892e-02]]\n\n [[9.93643165e-01 2.40410580e-10 1.57338931e-09 6.35686237e-03]\n  [9.92381334e-01 1.27321886e-13 1.28646735e-12 7.61873322e-03]\n  [9.89577174e-01 2.37103614e-14 8.32652686e-13 1.04228128e-02]\n  [9.86434877e-01 3.91333694e-14 2.40021197e-12 1.35650514e-02]\n  [9.87083852e-01 1.66799151e-14 1.52209788e-12 1.29161440e-02]]\n\n ...\n\n [[9.08921480e-01 1.71420415e-05 5.74229998e-05 9.10040066e-02]\n  [9.13850665e-01 2.52776800e-07 1.36987012e-06 8.61477107e-02]\n  [9.18351591e-01 8.19048651e-08 7.02601142e-07 8.16476792e-02]\n  [9.20066297e-01 9.69734231e-08 9.56975668e-07 7.99325407e-02]\n  [9.18314874e-01 1.15926262e-07 1.14432032e-06 8.16839188e-02]]\n\n [[8.90373886e-01 4.93442640e-05 1.54020570e-04 1.09422766e-01]\n  [9.01085615e-01 1.01555327e-06 4.73902446e-06 9.89086553e-02]\n  [9.13667500e-01 3.54517539e-07 2.42856345e-06 8.63297358e-02]\n  [9.10575747e-01 3.91432394e-07 2.95099949e-06 8.94208625e-02]\n  [9.08014953e-01 4.17649545e-07 3.41978284e-06 9.19811577e-02]]\n\n [[8.45388114e-01 7.47891667e-04 1.86282443e-03 1.52001217e-01]\n  [8.92485499e-01 6.24076274e-05 1.84176795e-04 1.07267834e-01]\n  [9.06826377e-01 3.75822965e-05 1.27909720e-04 9.30081457e-02]\n  [9.01137590e-01 4.46670529e-05 1.57557501e-04 9.86600891e-02]\n  [8.93658400e-01 4.98534537e-05 1.79360286e-04 1.06112331e-01]]]\nPredicted mask after argmax for 2008_001278: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001278 has shape: (300, 400)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001278. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001285.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001285: (1, 256, 256, 4)\nSome predicted mask values: [[[9.77677047e-01 4.92186189e-07 1.08839663e-06 2.23214701e-02]\n  [9.89699066e-01 8.23868196e-10 1.56206781e-09 1.03009120e-02]\n  [9.93059874e-01 5.12418614e-11 1.57957106e-10 6.94014691e-03]\n  [9.93720829e-01 1.86185563e-11 8.17812207e-11 6.27910718e-03]\n  [9.94758427e-01 5.48741044e-12 2.95238278e-11 5.24158869e-03]]\n\n [[9.92466450e-01 3.38169603e-10 1.59996838e-09 7.53357401e-03]\n  [9.92338002e-01 8.53402838e-14 4.31718111e-13 7.66203087e-03]\n  [9.90721107e-01 7.79592523e-15 8.13575959e-14 9.27893538e-03]\n  [9.90010917e-01 5.98542068e-15 1.09738905e-13 9.98911448e-03]\n  [9.90623415e-01 1.71451253e-15 4.70544082e-14 9.37657431e-03]]\n\n [[9.97091532e-01 1.09506380e-11 8.66062361e-11 2.90842424e-03]\n  [9.96597707e-01 2.19011295e-15 2.44230278e-14 3.40228109e-03]\n  [9.94835317e-01 3.52077159e-16 1.49162926e-14 5.16457856e-03]\n  [9.92123306e-01 5.33952153e-16 4.54604616e-14 7.87666533e-03]\n  [9.92257237e-01 1.62755144e-16 2.29964803e-14 7.74277747e-03]]\n\n ...\n\n [[9.18391705e-01 6.18878539e-06 2.26005759e-05 8.15795735e-02]\n  [9.24376667e-01 4.53227997e-08 3.32167389e-07 7.56230280e-02]\n  [9.36713040e-01 6.80081724e-09 8.33953564e-08 6.32868558e-02]\n  [9.43601906e-01 4.48991333e-09 6.86031640e-08 5.63979968e-02]\n  [9.46895182e-01 2.74408252e-09 4.42145769e-08 5.31047992e-02]]\n\n [[9.12791073e-01 1.10558940e-05 3.87597393e-05 8.71591717e-02]\n  [9.24077332e-01 1.00377910e-07 6.15099793e-07 7.59218782e-02]\n  [9.37907815e-01 1.99347010e-08 1.86116253e-07 6.20920025e-02]\n  [9.41235304e-01 1.35174858e-08 1.52763036e-07 5.87645471e-02]\n  [9.43677843e-01 8.04704570e-09 1.05063073e-07 5.63220680e-02]]\n\n [[8.80637765e-01 1.88194113e-04 5.39102941e-04 1.18634939e-01]\n  [9.28990006e-01 8.15712519e-06 2.82887449e-05 7.09735528e-02]\n  [9.43025172e-01 3.41252394e-06 1.39658187e-05 5.69574684e-02]\n  [9.44864035e-01 2.87266812e-06 1.26099776e-05 5.51203527e-02]\n  [9.44781184e-01 2.07579546e-06 9.73997976e-06 5.52071333e-02]]]\nPredicted mask after argmax for 2008_001285: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001285 has shape: (339, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001285. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001285.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001285: (1, 256, 256, 4)\nSome predicted mask values: [[[9.77677047e-01 4.92186189e-07 1.08839663e-06 2.23214701e-02]\n  [9.89699066e-01 8.23868196e-10 1.56206781e-09 1.03009120e-02]\n  [9.93059874e-01 5.12418614e-11 1.57957106e-10 6.94014691e-03]\n  [9.93720829e-01 1.86185563e-11 8.17812207e-11 6.27910718e-03]\n  [9.94758427e-01 5.48741044e-12 2.95238278e-11 5.24158869e-03]]\n\n [[9.92466450e-01 3.38169603e-10 1.59996838e-09 7.53357401e-03]\n  [9.92338002e-01 8.53402838e-14 4.31718111e-13 7.66203087e-03]\n  [9.90721107e-01 7.79592523e-15 8.13575959e-14 9.27893538e-03]\n  [9.90010917e-01 5.98542068e-15 1.09738905e-13 9.98911448e-03]\n  [9.90623415e-01 1.71451253e-15 4.70544082e-14 9.37657431e-03]]\n\n [[9.97091532e-01 1.09506380e-11 8.66062361e-11 2.90842424e-03]\n  [9.96597707e-01 2.19011295e-15 2.44230278e-14 3.40228109e-03]\n  [9.94835317e-01 3.52077159e-16 1.49162926e-14 5.16457856e-03]\n  [9.92123306e-01 5.33952153e-16 4.54604616e-14 7.87666533e-03]\n  [9.92257237e-01 1.62755144e-16 2.29964803e-14 7.74277747e-03]]\n\n ...\n\n [[9.18391705e-01 6.18878539e-06 2.26005759e-05 8.15795735e-02]\n  [9.24376667e-01 4.53227997e-08 3.32167389e-07 7.56230280e-02]\n  [9.36713040e-01 6.80081724e-09 8.33953564e-08 6.32868558e-02]\n  [9.43601906e-01 4.48991333e-09 6.86031640e-08 5.63979968e-02]\n  [9.46895182e-01 2.74408252e-09 4.42145769e-08 5.31047992e-02]]\n\n [[9.12791073e-01 1.10558940e-05 3.87597393e-05 8.71591717e-02]\n  [9.24077332e-01 1.00377910e-07 6.15099793e-07 7.59218782e-02]\n  [9.37907815e-01 1.99347010e-08 1.86116253e-07 6.20920025e-02]\n  [9.41235304e-01 1.35174858e-08 1.52763036e-07 5.87645471e-02]\n  [9.43677843e-01 8.04704570e-09 1.05063073e-07 5.63220680e-02]]\n\n [[8.80637765e-01 1.88194113e-04 5.39102941e-04 1.18634939e-01]\n  [9.28990006e-01 8.15712519e-06 2.82887449e-05 7.09735528e-02]\n  [9.43025172e-01 3.41252394e-06 1.39658187e-05 5.69574684e-02]\n  [9.44864035e-01 2.87266812e-06 1.26099776e-05 5.51203527e-02]\n  [9.44781184e-01 2.07579546e-06 9.73997976e-06 5.52071333e-02]]]\nPredicted mask after argmax for 2008_001285: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001285 has shape: (339, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001285. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001285.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001285: (1, 256, 256, 4)\nSome predicted mask values: [[[9.77677047e-01 4.92186189e-07 1.08839663e-06 2.23214701e-02]\n  [9.89699066e-01 8.23868196e-10 1.56206781e-09 1.03009120e-02]\n  [9.93059874e-01 5.12418614e-11 1.57957106e-10 6.94014691e-03]\n  [9.93720829e-01 1.86185563e-11 8.17812207e-11 6.27910718e-03]\n  [9.94758427e-01 5.48741044e-12 2.95238278e-11 5.24158869e-03]]\n\n [[9.92466450e-01 3.38169603e-10 1.59996838e-09 7.53357401e-03]\n  [9.92338002e-01 8.53402838e-14 4.31718111e-13 7.66203087e-03]\n  [9.90721107e-01 7.79592523e-15 8.13575959e-14 9.27893538e-03]\n  [9.90010917e-01 5.98542068e-15 1.09738905e-13 9.98911448e-03]\n  [9.90623415e-01 1.71451253e-15 4.70544082e-14 9.37657431e-03]]\n\n [[9.97091532e-01 1.09506380e-11 8.66062361e-11 2.90842424e-03]\n  [9.96597707e-01 2.19011295e-15 2.44230278e-14 3.40228109e-03]\n  [9.94835317e-01 3.52077159e-16 1.49162926e-14 5.16457856e-03]\n  [9.92123306e-01 5.33952153e-16 4.54604616e-14 7.87666533e-03]\n  [9.92257237e-01 1.62755144e-16 2.29964803e-14 7.74277747e-03]]\n\n ...\n\n [[9.18391705e-01 6.18878539e-06 2.26005759e-05 8.15795735e-02]\n  [9.24376667e-01 4.53227997e-08 3.32167389e-07 7.56230280e-02]\n  [9.36713040e-01 6.80081724e-09 8.33953564e-08 6.32868558e-02]\n  [9.43601906e-01 4.48991333e-09 6.86031640e-08 5.63979968e-02]\n  [9.46895182e-01 2.74408252e-09 4.42145769e-08 5.31047992e-02]]\n\n [[9.12791073e-01 1.10558940e-05 3.87597393e-05 8.71591717e-02]\n  [9.24077332e-01 1.00377910e-07 6.15099793e-07 7.59218782e-02]\n  [9.37907815e-01 1.99347010e-08 1.86116253e-07 6.20920025e-02]\n  [9.41235304e-01 1.35174858e-08 1.52763036e-07 5.87645471e-02]\n  [9.43677843e-01 8.04704570e-09 1.05063073e-07 5.63220680e-02]]\n\n [[8.80637765e-01 1.88194113e-04 5.39102941e-04 1.18634939e-01]\n  [9.28990006e-01 8.15712519e-06 2.82887449e-05 7.09735528e-02]\n  [9.43025172e-01 3.41252394e-06 1.39658187e-05 5.69574684e-02]\n  [9.44864035e-01 2.87266812e-06 1.26099776e-05 5.51203527e-02]\n  [9.44781184e-01 2.07579546e-06 9.73997976e-06 5.52071333e-02]]]\nPredicted mask after argmax for 2008_001285: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001285 has shape: (339, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001285. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001285.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001285: (1, 256, 256, 4)\nSome predicted mask values: [[[9.77677047e-01 4.92186189e-07 1.08839663e-06 2.23214701e-02]\n  [9.89699066e-01 8.23868196e-10 1.56206781e-09 1.03009120e-02]\n  [9.93059874e-01 5.12418614e-11 1.57957106e-10 6.94014691e-03]\n  [9.93720829e-01 1.86185563e-11 8.17812207e-11 6.27910718e-03]\n  [9.94758427e-01 5.48741044e-12 2.95238278e-11 5.24158869e-03]]\n\n [[9.92466450e-01 3.38169603e-10 1.59996838e-09 7.53357401e-03]\n  [9.92338002e-01 8.53402838e-14 4.31718111e-13 7.66203087e-03]\n  [9.90721107e-01 7.79592523e-15 8.13575959e-14 9.27893538e-03]\n  [9.90010917e-01 5.98542068e-15 1.09738905e-13 9.98911448e-03]\n  [9.90623415e-01 1.71451253e-15 4.70544082e-14 9.37657431e-03]]\n\n [[9.97091532e-01 1.09506380e-11 8.66062361e-11 2.90842424e-03]\n  [9.96597707e-01 2.19011295e-15 2.44230278e-14 3.40228109e-03]\n  [9.94835317e-01 3.52077159e-16 1.49162926e-14 5.16457856e-03]\n  [9.92123306e-01 5.33952153e-16 4.54604616e-14 7.87666533e-03]\n  [9.92257237e-01 1.62755144e-16 2.29964803e-14 7.74277747e-03]]\n\n ...\n\n [[9.18391705e-01 6.18878539e-06 2.26005759e-05 8.15795735e-02]\n  [9.24376667e-01 4.53227997e-08 3.32167389e-07 7.56230280e-02]\n  [9.36713040e-01 6.80081724e-09 8.33953564e-08 6.32868558e-02]\n  [9.43601906e-01 4.48991333e-09 6.86031640e-08 5.63979968e-02]\n  [9.46895182e-01 2.74408252e-09 4.42145769e-08 5.31047992e-02]]\n\n [[9.12791073e-01 1.10558940e-05 3.87597393e-05 8.71591717e-02]\n  [9.24077332e-01 1.00377910e-07 6.15099793e-07 7.59218782e-02]\n  [9.37907815e-01 1.99347010e-08 1.86116253e-07 6.20920025e-02]\n  [9.41235304e-01 1.35174858e-08 1.52763036e-07 5.87645471e-02]\n  [9.43677843e-01 8.04704570e-09 1.05063073e-07 5.63220680e-02]]\n\n [[8.80637765e-01 1.88194113e-04 5.39102941e-04 1.18634939e-01]\n  [9.28990006e-01 8.15712519e-06 2.82887449e-05 7.09735528e-02]\n  [9.43025172e-01 3.41252394e-06 1.39658187e-05 5.69574684e-02]\n  [9.44864035e-01 2.87266812e-06 1.26099776e-05 5.51203527e-02]\n  [9.44781184e-01 2.07579546e-06 9.73997976e-06 5.52071333e-02]]]\nPredicted mask after argmax for 2008_001285: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001285 has shape: (339, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001285. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001290.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001290: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5924586e-01 4.9354935e-06 1.0012132e-05 4.0739194e-02]\n  [9.7961831e-01 1.7329066e-08 3.3552258e-08 2.0381665e-02]\n  [9.8663932e-01 1.1360950e-09 3.2680447e-09 1.3360621e-02]\n  [9.8866999e-01 4.1749340e-10 1.5532575e-09 1.1330023e-02]\n  [9.9009305e-01 1.7662620e-10 7.5206258e-10 9.9069988e-03]]\n\n [[9.8168164e-01 1.3844138e-08 5.4352363e-08 1.8318320e-02]\n  [9.8286915e-01 1.0204057e-11 4.5897616e-11 1.7130876e-02]\n  [9.8258871e-01 7.4957114e-13 6.0470574e-12 1.7411329e-02]\n  [9.8293746e-01 4.3592866e-13 5.3840708e-12 1.7062601e-02]\n  [9.8381144e-01 1.6501672e-13 2.7499457e-12 1.6188519e-02]]\n\n [[9.9093038e-01 1.1640293e-09 7.1645441e-09 9.0696914e-03]\n  [9.9036485e-01 7.1720868e-13 6.5479484e-12 9.6352091e-03]\n  [9.8860031e-01 7.1943204e-14 1.9157657e-12 1.1399687e-02]\n  [9.8637110e-01 5.7491799e-14 2.6968976e-12 1.3628870e-02]\n  [9.8695493e-01 1.9584347e-14 1.3506212e-12 1.3044992e-02]]\n\n ...\n\n [[9.0518761e-01 1.7624370e-05 5.6349436e-05 9.4738483e-02]\n  [9.0614343e-01 2.7396410e-07 1.5936818e-06 9.3854696e-02]\n  [9.1293865e-01 9.1959564e-08 7.7120774e-07 8.7060474e-02]\n  [9.1317517e-01 1.3203483e-07 1.2331643e-06 8.6823516e-02]\n  [9.1036910e-01 1.7096177e-07 1.5444011e-06 8.9629188e-02]]\n\n [[9.0114409e-01 2.7081129e-05 8.3497885e-05 9.8745324e-02]\n  [9.0951353e-01 4.9402104e-07 2.4177964e-06 9.0483524e-02]\n  [9.1885966e-01 1.9729144e-07 1.3223540e-06 8.1138849e-02]\n  [9.1276938e-01 2.9839188e-07 2.1383646e-06 8.7228082e-02]\n  [9.0760165e-01 3.7469891e-07 2.8053551e-06 9.2395209e-02]]\n\n [[8.6753339e-01 3.4475245e-04 8.7965385e-04 1.3124213e-01]\n  [9.1637516e-01 2.1413700e-05 6.4488078e-05 8.3538979e-02]\n  [9.2826867e-01 1.4119035e-05 4.6192617e-05 7.1671069e-02]\n  [9.2243665e-01 2.0405794e-05 6.8123838e-05 7.7474654e-02]\n  [9.1484171e-01 2.5852622e-05 8.6015127e-05 8.5046440e-02]]]\nPredicted mask after argmax for 2008_001290: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001290 has shape: (500, 332)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001290. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001290.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001290: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5924586e-01 4.9354935e-06 1.0012132e-05 4.0739194e-02]\n  [9.7961831e-01 1.7329066e-08 3.3552258e-08 2.0381665e-02]\n  [9.8663932e-01 1.1360950e-09 3.2680447e-09 1.3360621e-02]\n  [9.8866999e-01 4.1749340e-10 1.5532575e-09 1.1330023e-02]\n  [9.9009305e-01 1.7662620e-10 7.5206258e-10 9.9069988e-03]]\n\n [[9.8168164e-01 1.3844138e-08 5.4352363e-08 1.8318320e-02]\n  [9.8286915e-01 1.0204057e-11 4.5897616e-11 1.7130876e-02]\n  [9.8258871e-01 7.4957114e-13 6.0470574e-12 1.7411329e-02]\n  [9.8293746e-01 4.3592866e-13 5.3840708e-12 1.7062601e-02]\n  [9.8381144e-01 1.6501672e-13 2.7499457e-12 1.6188519e-02]]\n\n [[9.9093038e-01 1.1640293e-09 7.1645441e-09 9.0696914e-03]\n  [9.9036485e-01 7.1720868e-13 6.5479484e-12 9.6352091e-03]\n  [9.8860031e-01 7.1943204e-14 1.9157657e-12 1.1399687e-02]\n  [9.8637110e-01 5.7491799e-14 2.6968976e-12 1.3628870e-02]\n  [9.8695493e-01 1.9584347e-14 1.3506212e-12 1.3044992e-02]]\n\n ...\n\n [[9.0518761e-01 1.7624370e-05 5.6349436e-05 9.4738483e-02]\n  [9.0614343e-01 2.7396410e-07 1.5936818e-06 9.3854696e-02]\n  [9.1293865e-01 9.1959564e-08 7.7120774e-07 8.7060474e-02]\n  [9.1317517e-01 1.3203483e-07 1.2331643e-06 8.6823516e-02]\n  [9.1036910e-01 1.7096177e-07 1.5444011e-06 8.9629188e-02]]\n\n [[9.0114409e-01 2.7081129e-05 8.3497885e-05 9.8745324e-02]\n  [9.0951353e-01 4.9402104e-07 2.4177964e-06 9.0483524e-02]\n  [9.1885966e-01 1.9729144e-07 1.3223540e-06 8.1138849e-02]\n  [9.1276938e-01 2.9839188e-07 2.1383646e-06 8.7228082e-02]\n  [9.0760165e-01 3.7469891e-07 2.8053551e-06 9.2395209e-02]]\n\n [[8.6753339e-01 3.4475245e-04 8.7965385e-04 1.3124213e-01]\n  [9.1637516e-01 2.1413700e-05 6.4488078e-05 8.3538979e-02]\n  [9.2826867e-01 1.4119035e-05 4.6192617e-05 7.1671069e-02]\n  [9.2243665e-01 2.0405794e-05 6.8123838e-05 7.7474654e-02]\n  [9.1484171e-01 2.5852622e-05 8.6015127e-05 8.5046440e-02]]]\nPredicted mask after argmax for 2008_001290: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001290 has shape: (500, 332)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001290. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001290.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001290: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5924586e-01 4.9354935e-06 1.0012132e-05 4.0739194e-02]\n  [9.7961831e-01 1.7329066e-08 3.3552258e-08 2.0381665e-02]\n  [9.8663932e-01 1.1360950e-09 3.2680447e-09 1.3360621e-02]\n  [9.8866999e-01 4.1749340e-10 1.5532575e-09 1.1330023e-02]\n  [9.9009305e-01 1.7662620e-10 7.5206258e-10 9.9069988e-03]]\n\n [[9.8168164e-01 1.3844138e-08 5.4352363e-08 1.8318320e-02]\n  [9.8286915e-01 1.0204057e-11 4.5897616e-11 1.7130876e-02]\n  [9.8258871e-01 7.4957114e-13 6.0470574e-12 1.7411329e-02]\n  [9.8293746e-01 4.3592866e-13 5.3840708e-12 1.7062601e-02]\n  [9.8381144e-01 1.6501672e-13 2.7499457e-12 1.6188519e-02]]\n\n [[9.9093038e-01 1.1640293e-09 7.1645441e-09 9.0696914e-03]\n  [9.9036485e-01 7.1720868e-13 6.5479484e-12 9.6352091e-03]\n  [9.8860031e-01 7.1943204e-14 1.9157657e-12 1.1399687e-02]\n  [9.8637110e-01 5.7491799e-14 2.6968976e-12 1.3628870e-02]\n  [9.8695493e-01 1.9584347e-14 1.3506212e-12 1.3044992e-02]]\n\n ...\n\n [[9.0518761e-01 1.7624370e-05 5.6349436e-05 9.4738483e-02]\n  [9.0614343e-01 2.7396410e-07 1.5936818e-06 9.3854696e-02]\n  [9.1293865e-01 9.1959564e-08 7.7120774e-07 8.7060474e-02]\n  [9.1317517e-01 1.3203483e-07 1.2331643e-06 8.6823516e-02]\n  [9.1036910e-01 1.7096177e-07 1.5444011e-06 8.9629188e-02]]\n\n [[9.0114409e-01 2.7081129e-05 8.3497885e-05 9.8745324e-02]\n  [9.0951353e-01 4.9402104e-07 2.4177964e-06 9.0483524e-02]\n  [9.1885966e-01 1.9729144e-07 1.3223540e-06 8.1138849e-02]\n  [9.1276938e-01 2.9839188e-07 2.1383646e-06 8.7228082e-02]\n  [9.0760165e-01 3.7469891e-07 2.8053551e-06 9.2395209e-02]]\n\n [[8.6753339e-01 3.4475245e-04 8.7965385e-04 1.3124213e-01]\n  [9.1637516e-01 2.1413700e-05 6.4488078e-05 8.3538979e-02]\n  [9.2826867e-01 1.4119035e-05 4.6192617e-05 7.1671069e-02]\n  [9.2243665e-01 2.0405794e-05 6.8123838e-05 7.7474654e-02]\n  [9.1484171e-01 2.5852622e-05 8.6015127e-05 8.5046440e-02]]]\nPredicted mask after argmax for 2008_001290: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001290 has shape: (500, 332)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001290. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001335.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001335: (1, 256, 256, 4)\nSome predicted mask values: [[[9.91193831e-01 6.76859013e-09 2.01103081e-08 8.80622957e-03]\n  [9.97159958e-01 8.66109376e-13 2.63898278e-12 2.84009683e-03]\n  [9.98446703e-01 1.60574153e-14 9.21781979e-14 1.55322254e-03]\n  [9.98683393e-01 5.20261231e-15 4.28738161e-14 1.31663808e-03]\n  [9.98883784e-01 1.69202423e-15 1.67937309e-14 1.11618754e-03]]\n\n [[9.97582197e-01 6.18638116e-13 5.05589667e-12 2.41775811e-03]\n  [9.98021483e-01 6.68708896e-18 7.15717363e-17 1.97856221e-03]\n  [9.97909248e-01 1.54459888e-19 4.22549003e-18 2.09071022e-03]\n  [9.97777283e-01 1.26484743e-19 6.22254764e-18 2.22265488e-03]\n  [9.97837484e-01 4.03615897e-20 3.10596373e-18 2.16254010e-03]]\n\n [[9.99259770e-01 1.12134059e-14 1.88321594e-13 7.40207499e-04]\n  [9.99283910e-01 8.07574816e-20 2.61995438e-18 7.16034789e-04]\n  [9.98923600e-01 3.72508510e-21 5.95428748e-19 1.07642531e-03]\n  [9.98429716e-01 5.88572812e-21 2.06890362e-18 1.57028681e-03]\n  [9.98397291e-01 2.03138978e-21 1.23304247e-18 1.60275726e-03]]\n\n ...\n\n [[9.33752179e-01 1.26021257e-06 5.80364849e-06 6.62408918e-02]\n  [9.49397743e-01 3.41929485e-09 3.69954627e-08 5.06022722e-02]\n  [9.54840541e-01 5.93360028e-10 1.02859774e-08 4.51594479e-02]\n  [9.57060635e-01 7.24087623e-10 1.37815634e-08 4.29393873e-02]\n  [9.55764353e-01 9.05572173e-10 1.67759762e-08 4.42356281e-02]]\n\n [[9.24035609e-01 3.26692702e-06 1.42514118e-05 7.59468153e-02]\n  [9.43546951e-01 1.44617909e-08 1.18766124e-07 5.64529523e-02]\n  [9.51076388e-01 3.06168935e-09 3.68999196e-08 4.89236116e-02]\n  [9.51789618e-01 3.50880480e-09 4.77326481e-08 4.82103899e-02]\n  [9.49756980e-01 3.86864896e-09 5.74041970e-08 5.02429046e-02]]\n\n [[8.89740229e-01 1.01640777e-04 3.30947922e-04 1.09827258e-01]\n  [9.37585235e-01 3.09220627e-06 1.22060155e-05 6.23993948e-02]\n  [9.51366246e-01 1.24522865e-06 5.84430381e-06 4.86266091e-02]\n  [9.49416995e-01 1.56649446e-06 7.61378806e-06 5.05738333e-02]\n  [9.45603549e-01 1.78988671e-06 8.88674367e-06 5.43857366e-02]]]\nPredicted mask after argmax for 2008_001335: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001335 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001335. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001335.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001335: (1, 256, 256, 4)\nSome predicted mask values: [[[9.91193831e-01 6.76859013e-09 2.01103081e-08 8.80622957e-03]\n  [9.97159958e-01 8.66109376e-13 2.63898278e-12 2.84009683e-03]\n  [9.98446703e-01 1.60574153e-14 9.21781979e-14 1.55322254e-03]\n  [9.98683393e-01 5.20261231e-15 4.28738161e-14 1.31663808e-03]\n  [9.98883784e-01 1.69202423e-15 1.67937309e-14 1.11618754e-03]]\n\n [[9.97582197e-01 6.18638116e-13 5.05589667e-12 2.41775811e-03]\n  [9.98021483e-01 6.68708896e-18 7.15717363e-17 1.97856221e-03]\n  [9.97909248e-01 1.54459888e-19 4.22549003e-18 2.09071022e-03]\n  [9.97777283e-01 1.26484743e-19 6.22254764e-18 2.22265488e-03]\n  [9.97837484e-01 4.03615897e-20 3.10596373e-18 2.16254010e-03]]\n\n [[9.99259770e-01 1.12134059e-14 1.88321594e-13 7.40207499e-04]\n  [9.99283910e-01 8.07574816e-20 2.61995438e-18 7.16034789e-04]\n  [9.98923600e-01 3.72508510e-21 5.95428748e-19 1.07642531e-03]\n  [9.98429716e-01 5.88572812e-21 2.06890362e-18 1.57028681e-03]\n  [9.98397291e-01 2.03138978e-21 1.23304247e-18 1.60275726e-03]]\n\n ...\n\n [[9.33752179e-01 1.26021257e-06 5.80364849e-06 6.62408918e-02]\n  [9.49397743e-01 3.41929485e-09 3.69954627e-08 5.06022722e-02]\n  [9.54840541e-01 5.93360028e-10 1.02859774e-08 4.51594479e-02]\n  [9.57060635e-01 7.24087623e-10 1.37815634e-08 4.29393873e-02]\n  [9.55764353e-01 9.05572173e-10 1.67759762e-08 4.42356281e-02]]\n\n [[9.24035609e-01 3.26692702e-06 1.42514118e-05 7.59468153e-02]\n  [9.43546951e-01 1.44617909e-08 1.18766124e-07 5.64529523e-02]\n  [9.51076388e-01 3.06168935e-09 3.68999196e-08 4.89236116e-02]\n  [9.51789618e-01 3.50880480e-09 4.77326481e-08 4.82103899e-02]\n  [9.49756980e-01 3.86864896e-09 5.74041970e-08 5.02429046e-02]]\n\n [[8.89740229e-01 1.01640777e-04 3.30947922e-04 1.09827258e-01]\n  [9.37585235e-01 3.09220627e-06 1.22060155e-05 6.23993948e-02]\n  [9.51366246e-01 1.24522865e-06 5.84430381e-06 4.86266091e-02]\n  [9.49416995e-01 1.56649446e-06 7.61378806e-06 5.05738333e-02]\n  [9.45603549e-01 1.78988671e-06 8.88674367e-06 5.43857366e-02]]]\nPredicted mask after argmax for 2008_001335: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001335 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001335. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001350.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001350: (1, 256, 256, 4)\nSome predicted mask values: [[[9.28188443e-01 4.35652983e-05 7.53115601e-05 7.16925710e-02]\n  [9.53188241e-01 4.90893683e-07 9.43561190e-07 4.68104742e-02]\n  [9.61107194e-01 8.94133336e-08 2.67760385e-07 3.88924330e-02]\n  [9.61064517e-01 7.23146769e-08 2.65253249e-07 3.89352180e-02]\n  [9.61325765e-01 5.05626581e-08 2.08533905e-07 3.86740752e-02]]\n\n [[9.69359756e-01 1.82786508e-07 5.87509646e-07 3.06394305e-02]\n  [9.69511032e-01 4.89227325e-10 1.91916749e-09 3.04889902e-02]\n  [9.67630327e-01 8.88881746e-11 6.77444600e-10 3.23696621e-02]\n  [9.64643121e-01 1.13685353e-10 1.21943144e-09 3.53568308e-02]\n  [9.64099526e-01 7.81699774e-11 1.07969622e-09 3.59004103e-02]]\n\n [[9.83464658e-01 1.68544272e-08 7.88996743e-08 1.65352467e-02]\n  [9.81637180e-01 3.27686177e-11 2.20329116e-10 1.83627773e-02]\n  [9.77964282e-01 7.87755364e-12 1.38846601e-10 2.20357701e-02]\n  [9.71713543e-01 1.34957471e-11 3.52143231e-10 2.82863975e-02]\n  [9.71591353e-01 8.90571211e-12 3.00890590e-10 2.84086782e-02]]\n\n ...\n\n [[9.42292273e-01 2.69651764e-06 9.81863832e-06 5.76952770e-02]\n  [9.33678389e-01 2.95733553e-08 1.71553481e-07 6.63214251e-02]\n  [9.39128339e-01 7.34883976e-09 8.01485598e-08 6.08715899e-02]\n  [9.39570427e-01 7.72527375e-09 1.03453758e-07 6.04294874e-02]\n  [9.40991998e-01 6.19003604e-09 9.12126197e-08 5.90078719e-02]]\n\n [[9.30355072e-01 7.59808336e-06 2.55935975e-05 6.96116909e-02]\n  [9.29067075e-01 1.09358403e-07 5.17225885e-07 7.09322020e-02]\n  [9.40897763e-01 3.25696980e-08 2.62385498e-07 5.91020137e-02]\n  [9.38695073e-01 3.37646497e-08 3.21211559e-07 6.13045618e-02]\n  [9.34207201e-01 2.93313978e-08 3.17791859e-07 6.57924488e-02]]\n\n [[8.93458366e-01 1.69629289e-04 4.60981944e-04 1.05911046e-01]\n  [9.34108257e-01 8.38807227e-06 2.76150040e-05 6.58557564e-02]\n  [9.43413556e-01 5.03984847e-06 1.83359189e-05 5.65630309e-02]\n  [9.41755474e-01 5.91567277e-06 2.33174160e-05 5.82151450e-02]\n  [9.36710179e-01 5.84831650e-06 2.44014955e-05 6.32595271e-02]]]\nPredicted mask after argmax for 2008_001350: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001350 has shape: (344, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001350. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001350.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001350: (1, 256, 256, 4)\nSome predicted mask values: [[[9.28188443e-01 4.35652983e-05 7.53115601e-05 7.16925710e-02]\n  [9.53188241e-01 4.90893683e-07 9.43561190e-07 4.68104742e-02]\n  [9.61107194e-01 8.94133336e-08 2.67760385e-07 3.88924330e-02]\n  [9.61064517e-01 7.23146769e-08 2.65253249e-07 3.89352180e-02]\n  [9.61325765e-01 5.05626581e-08 2.08533905e-07 3.86740752e-02]]\n\n [[9.69359756e-01 1.82786508e-07 5.87509646e-07 3.06394305e-02]\n  [9.69511032e-01 4.89227325e-10 1.91916749e-09 3.04889902e-02]\n  [9.67630327e-01 8.88881746e-11 6.77444600e-10 3.23696621e-02]\n  [9.64643121e-01 1.13685353e-10 1.21943144e-09 3.53568308e-02]\n  [9.64099526e-01 7.81699774e-11 1.07969622e-09 3.59004103e-02]]\n\n [[9.83464658e-01 1.68544272e-08 7.88996743e-08 1.65352467e-02]\n  [9.81637180e-01 3.27686177e-11 2.20329116e-10 1.83627773e-02]\n  [9.77964282e-01 7.87755364e-12 1.38846601e-10 2.20357701e-02]\n  [9.71713543e-01 1.34957471e-11 3.52143231e-10 2.82863975e-02]\n  [9.71591353e-01 8.90571211e-12 3.00890590e-10 2.84086782e-02]]\n\n ...\n\n [[9.42292273e-01 2.69651764e-06 9.81863832e-06 5.76952770e-02]\n  [9.33678389e-01 2.95733553e-08 1.71553481e-07 6.63214251e-02]\n  [9.39128339e-01 7.34883976e-09 8.01485598e-08 6.08715899e-02]\n  [9.39570427e-01 7.72527375e-09 1.03453758e-07 6.04294874e-02]\n  [9.40991998e-01 6.19003604e-09 9.12126197e-08 5.90078719e-02]]\n\n [[9.30355072e-01 7.59808336e-06 2.55935975e-05 6.96116909e-02]\n  [9.29067075e-01 1.09358403e-07 5.17225885e-07 7.09322020e-02]\n  [9.40897763e-01 3.25696980e-08 2.62385498e-07 5.91020137e-02]\n  [9.38695073e-01 3.37646497e-08 3.21211559e-07 6.13045618e-02]\n  [9.34207201e-01 2.93313978e-08 3.17791859e-07 6.57924488e-02]]\n\n [[8.93458366e-01 1.69629289e-04 4.60981944e-04 1.05911046e-01]\n  [9.34108257e-01 8.38807227e-06 2.76150040e-05 6.58557564e-02]\n  [9.43413556e-01 5.03984847e-06 1.83359189e-05 5.65630309e-02]\n  [9.41755474e-01 5.91567277e-06 2.33174160e-05 5.82151450e-02]\n  [9.36710179e-01 5.84831650e-06 2.44014955e-05 6.32595271e-02]]]\nPredicted mask after argmax for 2008_001350: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001350 has shape: (344, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001350. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001357.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001357: (1, 256, 256, 4)\nSome predicted mask values: [[[9.16229129e-01 2.89656837e-05 5.68245596e-05 8.36851820e-02]\n  [9.61256027e-01 4.44613306e-08 1.81087017e-07 3.87437530e-02]\n  [9.78277326e-01 9.86374427e-10 7.22129201e-09 2.17226986e-02]\n  [9.82678235e-01 2.11789739e-10 2.01155226e-09 1.73217785e-02]\n  [9.85373139e-01 6.97157124e-11 7.58028529e-10 1.46268755e-02]]\n\n [[9.59832668e-01 9.30870030e-08 4.14443235e-07 4.01667878e-02]\n  [9.79973435e-01 8.56556492e-12 1.07423397e-10 2.00265571e-02]\n  [9.89359736e-01 3.68924353e-14 1.19786266e-12 1.06402850e-02]\n  [9.90832984e-01 4.98439079e-15 2.62937377e-13 9.16698854e-03]\n  [9.91990387e-01 1.13453202e-15 8.03378970e-14 8.00956134e-03]]\n\n [[9.74847198e-01 7.70370701e-09 5.86779834e-08 2.51526944e-02]\n  [9.89153028e-01 1.60475027e-13 5.39027633e-12 1.08469902e-02]\n  [9.94072855e-01 2.76433940e-16 3.49646324e-14 5.92719065e-03]\n  [9.95575666e-01 1.35674619e-17 3.19703057e-15 4.42438992e-03]\n  [9.96551633e-01 1.81831835e-18 5.85272926e-16 3.44834453e-03]]\n\n ...\n\n [[8.98652196e-01 1.28732281e-05 4.61234085e-05 1.01288781e-01]\n  [9.19601619e-01 7.45984323e-08 5.92142499e-07 8.03977549e-02]\n  [9.35856223e-01 9.41109679e-09 1.17339049e-07 6.41436651e-02]\n  [9.41349864e-01 6.45935128e-09 9.07143942e-08 5.86500429e-02]\n  [9.42595303e-01 5.30094990e-09 7.74550912e-08 5.74046336e-02]]\n\n [[8.87620449e-01 2.81702996e-05 9.52815462e-05 1.12256221e-01]\n  [9.16126132e-01 2.14497931e-07 1.35707353e-06 8.38723555e-02]\n  [9.33090031e-01 2.92141262e-08 2.71669222e-07 6.69097751e-02]\n  [9.39556420e-01 1.61694889e-08 1.80483070e-07 6.04433268e-02]\n  [9.40848589e-01 1.22280328e-08 1.51364361e-07 5.91513067e-02]]\n\n [[8.50086689e-01 4.55016620e-04 1.20302371e-03 1.48255304e-01]\n  [9.10087407e-01 1.82266031e-05 5.97623257e-05 8.98346156e-02]\n  [9.34107959e-01 5.03800675e-06 2.01093499e-05 6.58669248e-02]\n  [9.39370513e-01 3.32761419e-06 1.42845156e-05 6.06118068e-02]\n  [9.40835714e-01 2.68358508e-06 1.20215809e-05 5.91495670e-02]]]\nPredicted mask after argmax for 2008_001357: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001357 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001357. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001357.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001357: (1, 256, 256, 4)\nSome predicted mask values: [[[9.16229129e-01 2.89656837e-05 5.68245596e-05 8.36851820e-02]\n  [9.61256027e-01 4.44613306e-08 1.81087017e-07 3.87437530e-02]\n  [9.78277326e-01 9.86374427e-10 7.22129201e-09 2.17226986e-02]\n  [9.82678235e-01 2.11789739e-10 2.01155226e-09 1.73217785e-02]\n  [9.85373139e-01 6.97157124e-11 7.58028529e-10 1.46268755e-02]]\n\n [[9.59832668e-01 9.30870030e-08 4.14443235e-07 4.01667878e-02]\n  [9.79973435e-01 8.56556492e-12 1.07423397e-10 2.00265571e-02]\n  [9.89359736e-01 3.68924353e-14 1.19786266e-12 1.06402850e-02]\n  [9.90832984e-01 4.98439079e-15 2.62937377e-13 9.16698854e-03]\n  [9.91990387e-01 1.13453202e-15 8.03378970e-14 8.00956134e-03]]\n\n [[9.74847198e-01 7.70370701e-09 5.86779834e-08 2.51526944e-02]\n  [9.89153028e-01 1.60475027e-13 5.39027633e-12 1.08469902e-02]\n  [9.94072855e-01 2.76433940e-16 3.49646324e-14 5.92719065e-03]\n  [9.95575666e-01 1.35674619e-17 3.19703057e-15 4.42438992e-03]\n  [9.96551633e-01 1.81831835e-18 5.85272926e-16 3.44834453e-03]]\n\n ...\n\n [[8.98652196e-01 1.28732281e-05 4.61234085e-05 1.01288781e-01]\n  [9.19601619e-01 7.45984323e-08 5.92142499e-07 8.03977549e-02]\n  [9.35856223e-01 9.41109679e-09 1.17339049e-07 6.41436651e-02]\n  [9.41349864e-01 6.45935128e-09 9.07143942e-08 5.86500429e-02]\n  [9.42595303e-01 5.30094990e-09 7.74550912e-08 5.74046336e-02]]\n\n [[8.87620449e-01 2.81702996e-05 9.52815462e-05 1.12256221e-01]\n  [9.16126132e-01 2.14497931e-07 1.35707353e-06 8.38723555e-02]\n  [9.33090031e-01 2.92141262e-08 2.71669222e-07 6.69097751e-02]\n  [9.39556420e-01 1.61694889e-08 1.80483070e-07 6.04433268e-02]\n  [9.40848589e-01 1.22280328e-08 1.51364361e-07 5.91513067e-02]]\n\n [[8.50086689e-01 4.55016620e-04 1.20302371e-03 1.48255304e-01]\n  [9.10087407e-01 1.82266031e-05 5.97623257e-05 8.98346156e-02]\n  [9.34107959e-01 5.03800675e-06 2.01093499e-05 6.58669248e-02]\n  [9.39370513e-01 3.32761419e-06 1.42845156e-05 6.06118068e-02]\n  [9.40835714e-01 2.68358508e-06 1.20215809e-05 5.91495670e-02]]]\nPredicted mask after argmax for 2008_001357: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001357 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001357. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001357.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001357: (1, 256, 256, 4)\nSome predicted mask values: [[[9.16229129e-01 2.89656837e-05 5.68245596e-05 8.36851820e-02]\n  [9.61256027e-01 4.44613306e-08 1.81087017e-07 3.87437530e-02]\n  [9.78277326e-01 9.86374427e-10 7.22129201e-09 2.17226986e-02]\n  [9.82678235e-01 2.11789739e-10 2.01155226e-09 1.73217785e-02]\n  [9.85373139e-01 6.97157124e-11 7.58028529e-10 1.46268755e-02]]\n\n [[9.59832668e-01 9.30870030e-08 4.14443235e-07 4.01667878e-02]\n  [9.79973435e-01 8.56556492e-12 1.07423397e-10 2.00265571e-02]\n  [9.89359736e-01 3.68924353e-14 1.19786266e-12 1.06402850e-02]\n  [9.90832984e-01 4.98439079e-15 2.62937377e-13 9.16698854e-03]\n  [9.91990387e-01 1.13453202e-15 8.03378970e-14 8.00956134e-03]]\n\n [[9.74847198e-01 7.70370701e-09 5.86779834e-08 2.51526944e-02]\n  [9.89153028e-01 1.60475027e-13 5.39027633e-12 1.08469902e-02]\n  [9.94072855e-01 2.76433940e-16 3.49646324e-14 5.92719065e-03]\n  [9.95575666e-01 1.35674619e-17 3.19703057e-15 4.42438992e-03]\n  [9.96551633e-01 1.81831835e-18 5.85272926e-16 3.44834453e-03]]\n\n ...\n\n [[8.98652196e-01 1.28732281e-05 4.61234085e-05 1.01288781e-01]\n  [9.19601619e-01 7.45984323e-08 5.92142499e-07 8.03977549e-02]\n  [9.35856223e-01 9.41109679e-09 1.17339049e-07 6.41436651e-02]\n  [9.41349864e-01 6.45935128e-09 9.07143942e-08 5.86500429e-02]\n  [9.42595303e-01 5.30094990e-09 7.74550912e-08 5.74046336e-02]]\n\n [[8.87620449e-01 2.81702996e-05 9.52815462e-05 1.12256221e-01]\n  [9.16126132e-01 2.14497931e-07 1.35707353e-06 8.38723555e-02]\n  [9.33090031e-01 2.92141262e-08 2.71669222e-07 6.69097751e-02]\n  [9.39556420e-01 1.61694889e-08 1.80483070e-07 6.04433268e-02]\n  [9.40848589e-01 1.22280328e-08 1.51364361e-07 5.91513067e-02]]\n\n [[8.50086689e-01 4.55016620e-04 1.20302371e-03 1.48255304e-01]\n  [9.10087407e-01 1.82266031e-05 5.97623257e-05 8.98346156e-02]\n  [9.34107959e-01 5.03800675e-06 2.01093499e-05 6.58669248e-02]\n  [9.39370513e-01 3.32761419e-06 1.42845156e-05 6.06118068e-02]\n  [9.40835714e-01 2.68358508e-06 1.20215809e-05 5.91495670e-02]]]\nPredicted mask after argmax for 2008_001357: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001357 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001357. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001357.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001357: (1, 256, 256, 4)\nSome predicted mask values: [[[9.16229129e-01 2.89656837e-05 5.68245596e-05 8.36851820e-02]\n  [9.61256027e-01 4.44613306e-08 1.81087017e-07 3.87437530e-02]\n  [9.78277326e-01 9.86374427e-10 7.22129201e-09 2.17226986e-02]\n  [9.82678235e-01 2.11789739e-10 2.01155226e-09 1.73217785e-02]\n  [9.85373139e-01 6.97157124e-11 7.58028529e-10 1.46268755e-02]]\n\n [[9.59832668e-01 9.30870030e-08 4.14443235e-07 4.01667878e-02]\n  [9.79973435e-01 8.56556492e-12 1.07423397e-10 2.00265571e-02]\n  [9.89359736e-01 3.68924353e-14 1.19786266e-12 1.06402850e-02]\n  [9.90832984e-01 4.98439079e-15 2.62937377e-13 9.16698854e-03]\n  [9.91990387e-01 1.13453202e-15 8.03378970e-14 8.00956134e-03]]\n\n [[9.74847198e-01 7.70370701e-09 5.86779834e-08 2.51526944e-02]\n  [9.89153028e-01 1.60475027e-13 5.39027633e-12 1.08469902e-02]\n  [9.94072855e-01 2.76433940e-16 3.49646324e-14 5.92719065e-03]\n  [9.95575666e-01 1.35674619e-17 3.19703057e-15 4.42438992e-03]\n  [9.96551633e-01 1.81831835e-18 5.85272926e-16 3.44834453e-03]]\n\n ...\n\n [[8.98652196e-01 1.28732281e-05 4.61234085e-05 1.01288781e-01]\n  [9.19601619e-01 7.45984323e-08 5.92142499e-07 8.03977549e-02]\n  [9.35856223e-01 9.41109679e-09 1.17339049e-07 6.41436651e-02]\n  [9.41349864e-01 6.45935128e-09 9.07143942e-08 5.86500429e-02]\n  [9.42595303e-01 5.30094990e-09 7.74550912e-08 5.74046336e-02]]\n\n [[8.87620449e-01 2.81702996e-05 9.52815462e-05 1.12256221e-01]\n  [9.16126132e-01 2.14497931e-07 1.35707353e-06 8.38723555e-02]\n  [9.33090031e-01 2.92141262e-08 2.71669222e-07 6.69097751e-02]\n  [9.39556420e-01 1.61694889e-08 1.80483070e-07 6.04433268e-02]\n  [9.40848589e-01 1.22280328e-08 1.51364361e-07 5.91513067e-02]]\n\n [[8.50086689e-01 4.55016620e-04 1.20302371e-03 1.48255304e-01]\n  [9.10087407e-01 1.82266031e-05 5.97623257e-05 8.98346156e-02]\n  [9.34107959e-01 5.03800675e-06 2.01093499e-05 6.58669248e-02]\n  [9.39370513e-01 3.32761419e-06 1.42845156e-05 6.06118068e-02]\n  [9.40835714e-01 2.68358508e-06 1.20215809e-05 5.91495670e-02]]]\nPredicted mask after argmax for 2008_001357: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001357 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001357. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001359.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001359: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99779105e-01 2.15868062e-15 1.54667657e-14 2.20795511e-04]\n  [9.99981403e-01 7.29690216e-23 4.79458147e-22 1.85823446e-05]\n  [9.99995589e-01 9.33708864e-27 1.76241128e-25 4.38615007e-06]\n  [9.99997735e-01 1.71069909e-28 6.58643928e-27 2.30304636e-06]\n  [9.99998808e-01 4.16218212e-30 2.29755185e-28 1.14383272e-06]]\n\n [[9.99974966e-01 1.67502029e-22 6.78579716e-21 2.50406738e-05]\n  [9.99987483e-01 4.28221131e-32 2.71240563e-30 1.24822645e-05]\n  [9.99989748e-01 4.55276086e-36 1.57515398e-33 1.02318299e-05]\n  [9.99991417e-01 2.73029352e-37 3.26232031e-34 8.52734411e-06]\n  [9.99993801e-01 4.62078309e-39 1.34926935e-35 6.20490755e-06]]\n\n [[9.99997497e-01 7.93846321e-26 1.22454934e-23 2.52362292e-06]\n  [9.99998331e-01 7.50068711e-36 4.24991938e-33 1.65447523e-06]\n  [9.99997139e-01 2.21005647e-39 2.61543877e-35 2.91939546e-06]\n  [9.99996185e-01 3.26250308e-40 2.50859047e-35 3.82892995e-06]\n  [9.99997020e-01 5.06569395e-42 1.39594833e-36 3.02355284e-06]]\n\n ...\n\n [[9.05597746e-01 1.55957096e-05 5.33012499e-05 9.43334103e-02]\n  [9.05579269e-01 1.91480595e-07 1.21813548e-06 9.44193751e-02]\n  [9.21292007e-01 3.62850123e-08 3.68371076e-07 7.87076056e-02]\n  [9.25923347e-01 2.70958864e-08 3.29406163e-07 7.40763396e-02]\n  [9.29297328e-01 2.06699617e-08 2.67340880e-07 7.07024708e-02]]\n\n [[8.95016730e-01 3.20937870e-05 1.02690319e-04 1.04848467e-01]\n  [9.04031992e-01 5.07995367e-07 2.63438642e-06 9.59649011e-02]\n  [9.23763037e-01 1.15609360e-07 8.82385052e-07 7.62359351e-02]\n  [9.22203243e-01 8.95495731e-08 7.81117080e-07 7.77958483e-02]\n  [9.25294518e-01 6.71702196e-08 6.67485381e-07 7.47047663e-02]]\n\n [[8.60759079e-01 4.27604478e-04 1.10173877e-03 1.37711555e-01]\n  [9.14379120e-01 2.37186450e-05 7.46744336e-05 8.55224952e-02]\n  [9.32390392e-01 1.08979239e-05 3.89467314e-05 6.75597861e-02]\n  [9.32437837e-01 9.80819641e-06 3.74590745e-05 6.75149485e-02]\n  [9.31514621e-01 9.09585015e-06 3.63212421e-05 6.84399381e-02]]]\nPredicted mask after argmax for 2008_001359: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001359 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001359. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001359.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001359: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99779105e-01 2.15868062e-15 1.54667657e-14 2.20795511e-04]\n  [9.99981403e-01 7.29690216e-23 4.79458147e-22 1.85823446e-05]\n  [9.99995589e-01 9.33708864e-27 1.76241128e-25 4.38615007e-06]\n  [9.99997735e-01 1.71069909e-28 6.58643928e-27 2.30304636e-06]\n  [9.99998808e-01 4.16218212e-30 2.29755185e-28 1.14383272e-06]]\n\n [[9.99974966e-01 1.67502029e-22 6.78579716e-21 2.50406738e-05]\n  [9.99987483e-01 4.28221131e-32 2.71240563e-30 1.24822645e-05]\n  [9.99989748e-01 4.55276086e-36 1.57515398e-33 1.02318299e-05]\n  [9.99991417e-01 2.73029352e-37 3.26232031e-34 8.52734411e-06]\n  [9.99993801e-01 4.62078309e-39 1.34926935e-35 6.20490755e-06]]\n\n [[9.99997497e-01 7.93846321e-26 1.22454934e-23 2.52362292e-06]\n  [9.99998331e-01 7.50068711e-36 4.24991938e-33 1.65447523e-06]\n  [9.99997139e-01 2.21005647e-39 2.61543877e-35 2.91939546e-06]\n  [9.99996185e-01 3.26250308e-40 2.50859047e-35 3.82892995e-06]\n  [9.99997020e-01 5.06569395e-42 1.39594833e-36 3.02355284e-06]]\n\n ...\n\n [[9.05597746e-01 1.55957096e-05 5.33012499e-05 9.43334103e-02]\n  [9.05579269e-01 1.91480595e-07 1.21813548e-06 9.44193751e-02]\n  [9.21292007e-01 3.62850123e-08 3.68371076e-07 7.87076056e-02]\n  [9.25923347e-01 2.70958864e-08 3.29406163e-07 7.40763396e-02]\n  [9.29297328e-01 2.06699617e-08 2.67340880e-07 7.07024708e-02]]\n\n [[8.95016730e-01 3.20937870e-05 1.02690319e-04 1.04848467e-01]\n  [9.04031992e-01 5.07995367e-07 2.63438642e-06 9.59649011e-02]\n  [9.23763037e-01 1.15609360e-07 8.82385052e-07 7.62359351e-02]\n  [9.22203243e-01 8.95495731e-08 7.81117080e-07 7.77958483e-02]\n  [9.25294518e-01 6.71702196e-08 6.67485381e-07 7.47047663e-02]]\n\n [[8.60759079e-01 4.27604478e-04 1.10173877e-03 1.37711555e-01]\n  [9.14379120e-01 2.37186450e-05 7.46744336e-05 8.55224952e-02]\n  [9.32390392e-01 1.08979239e-05 3.89467314e-05 6.75597861e-02]\n  [9.32437837e-01 9.80819641e-06 3.74590745e-05 6.75149485e-02]\n  [9.31514621e-01 9.09585015e-06 3.63212421e-05 6.84399381e-02]]]\nPredicted mask after argmax for 2008_001359: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001359 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001359. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001374: (1, 256, 256, 4)\nSome predicted mask values: [[[9.27641273e-01 3.75683048e-05 6.57670025e-05 7.22553954e-02]\n  [9.53019381e-01 3.52604019e-07 7.68838504e-07 4.69795130e-02]\n  [9.60629642e-01 6.51686705e-08 2.22026657e-07 3.93700749e-02]\n  [9.59969163e-01 6.02103114e-08 2.46505408e-07 4.00305018e-02]\n  [9.59477961e-01 4.82015352e-08 2.18201677e-07 4.05218676e-02]]\n\n [[9.69708860e-01 1.35819789e-07 4.58345028e-07 3.02906036e-02]\n  [9.70005333e-01 2.99206576e-10 1.32553823e-09 2.99947187e-02]\n  [9.69425619e-01 4.95881079e-11 4.44194126e-10 3.05743329e-02]\n  [9.66421485e-01 7.09379638e-11 8.75549799e-10 3.35785821e-02]\n  [9.65555727e-01 5.56918574e-11 8.67787509e-10 3.44442353e-02]]\n\n [[9.83497143e-01 1.28997675e-08 6.44019735e-08 1.65028013e-02]\n  [9.81967807e-01 1.90120506e-11 1.50088858e-10 1.80322621e-02]\n  [9.78933990e-01 3.94022185e-12 8.01406858e-11 2.10660119e-02]\n  [9.74872589e-01 6.14162367e-12 1.79966542e-10 2.51274202e-02]\n  [9.74580288e-01 4.51684133e-12 1.66609157e-10 2.54197363e-02]]\n\n ...\n\n [[9.18800473e-01 6.94785194e-06 2.43992472e-05 8.11681822e-02]\n  [9.20794785e-01 6.22596730e-08 4.21149366e-07 7.92046636e-02]\n  [9.30048585e-01 1.30305313e-08 1.40147279e-07 6.99512213e-02]\n  [9.32294726e-01 1.47547627e-08 1.86968180e-07 6.77050650e-02]\n  [9.31599677e-01 1.59641136e-08 2.02420068e-07 6.84000850e-02]]\n\n [[9.16503966e-01 1.03270331e-05 3.52591014e-05 8.34503025e-02]\n  [9.25113916e-01 1.10963526e-07 6.21064203e-07 7.48853683e-02]\n  [9.37126756e-01 2.92412370e-08 2.44242926e-07 6.28729463e-02]\n  [9.34222519e-01 3.61262025e-08 3.36035015e-07 6.57772273e-02]\n  [9.30253983e-01 3.90134218e-08 3.88050523e-07 6.97457343e-02]]\n\n [[8.86902452e-01 1.60526368e-04 4.46773018e-04 1.12490304e-01]\n  [9.35338020e-01 6.37946323e-06 2.17660454e-05 6.46339133e-02]\n  [9.47718680e-01 3.29614522e-06 1.24009312e-05 5.22655919e-02]\n  [9.45072412e-01 4.35599350e-06 1.70977710e-05 5.49061000e-02]\n  [9.40400302e-01 5.05750722e-06 2.01288785e-05 5.95744364e-02]]]\nPredicted mask after argmax for 2008_001374: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001374 has shape: (313, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001374. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001374: (1, 256, 256, 4)\nSome predicted mask values: [[[9.27641273e-01 3.75683048e-05 6.57670025e-05 7.22553954e-02]\n  [9.53019381e-01 3.52604019e-07 7.68838504e-07 4.69795130e-02]\n  [9.60629642e-01 6.51686705e-08 2.22026657e-07 3.93700749e-02]\n  [9.59969163e-01 6.02103114e-08 2.46505408e-07 4.00305018e-02]\n  [9.59477961e-01 4.82015352e-08 2.18201677e-07 4.05218676e-02]]\n\n [[9.69708860e-01 1.35819789e-07 4.58345028e-07 3.02906036e-02]\n  [9.70005333e-01 2.99206576e-10 1.32553823e-09 2.99947187e-02]\n  [9.69425619e-01 4.95881079e-11 4.44194126e-10 3.05743329e-02]\n  [9.66421485e-01 7.09379638e-11 8.75549799e-10 3.35785821e-02]\n  [9.65555727e-01 5.56918574e-11 8.67787509e-10 3.44442353e-02]]\n\n [[9.83497143e-01 1.28997675e-08 6.44019735e-08 1.65028013e-02]\n  [9.81967807e-01 1.90120506e-11 1.50088858e-10 1.80322621e-02]\n  [9.78933990e-01 3.94022185e-12 8.01406858e-11 2.10660119e-02]\n  [9.74872589e-01 6.14162367e-12 1.79966542e-10 2.51274202e-02]\n  [9.74580288e-01 4.51684133e-12 1.66609157e-10 2.54197363e-02]]\n\n ...\n\n [[9.18800473e-01 6.94785194e-06 2.43992472e-05 8.11681822e-02]\n  [9.20794785e-01 6.22596730e-08 4.21149366e-07 7.92046636e-02]\n  [9.30048585e-01 1.30305313e-08 1.40147279e-07 6.99512213e-02]\n  [9.32294726e-01 1.47547627e-08 1.86968180e-07 6.77050650e-02]\n  [9.31599677e-01 1.59641136e-08 2.02420068e-07 6.84000850e-02]]\n\n [[9.16503966e-01 1.03270331e-05 3.52591014e-05 8.34503025e-02]\n  [9.25113916e-01 1.10963526e-07 6.21064203e-07 7.48853683e-02]\n  [9.37126756e-01 2.92412370e-08 2.44242926e-07 6.28729463e-02]\n  [9.34222519e-01 3.61262025e-08 3.36035015e-07 6.57772273e-02]\n  [9.30253983e-01 3.90134218e-08 3.88050523e-07 6.97457343e-02]]\n\n [[8.86902452e-01 1.60526368e-04 4.46773018e-04 1.12490304e-01]\n  [9.35338020e-01 6.37946323e-06 2.17660454e-05 6.46339133e-02]\n  [9.47718680e-01 3.29614522e-06 1.24009312e-05 5.22655919e-02]\n  [9.45072412e-01 4.35599350e-06 1.70977710e-05 5.49061000e-02]\n  [9.40400302e-01 5.05750722e-06 2.01288785e-05 5.95744364e-02]]]\nPredicted mask after argmax for 2008_001374: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001374 has shape: (313, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001374. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001374: (1, 256, 256, 4)\nSome predicted mask values: [[[9.27641273e-01 3.75683048e-05 6.57670025e-05 7.22553954e-02]\n  [9.53019381e-01 3.52604019e-07 7.68838504e-07 4.69795130e-02]\n  [9.60629642e-01 6.51686705e-08 2.22026657e-07 3.93700749e-02]\n  [9.59969163e-01 6.02103114e-08 2.46505408e-07 4.00305018e-02]\n  [9.59477961e-01 4.82015352e-08 2.18201677e-07 4.05218676e-02]]\n\n [[9.69708860e-01 1.35819789e-07 4.58345028e-07 3.02906036e-02]\n  [9.70005333e-01 2.99206576e-10 1.32553823e-09 2.99947187e-02]\n  [9.69425619e-01 4.95881079e-11 4.44194126e-10 3.05743329e-02]\n  [9.66421485e-01 7.09379638e-11 8.75549799e-10 3.35785821e-02]\n  [9.65555727e-01 5.56918574e-11 8.67787509e-10 3.44442353e-02]]\n\n [[9.83497143e-01 1.28997675e-08 6.44019735e-08 1.65028013e-02]\n  [9.81967807e-01 1.90120506e-11 1.50088858e-10 1.80322621e-02]\n  [9.78933990e-01 3.94022185e-12 8.01406858e-11 2.10660119e-02]\n  [9.74872589e-01 6.14162367e-12 1.79966542e-10 2.51274202e-02]\n  [9.74580288e-01 4.51684133e-12 1.66609157e-10 2.54197363e-02]]\n\n ...\n\n [[9.18800473e-01 6.94785194e-06 2.43992472e-05 8.11681822e-02]\n  [9.20794785e-01 6.22596730e-08 4.21149366e-07 7.92046636e-02]\n  [9.30048585e-01 1.30305313e-08 1.40147279e-07 6.99512213e-02]\n  [9.32294726e-01 1.47547627e-08 1.86968180e-07 6.77050650e-02]\n  [9.31599677e-01 1.59641136e-08 2.02420068e-07 6.84000850e-02]]\n\n [[9.16503966e-01 1.03270331e-05 3.52591014e-05 8.34503025e-02]\n  [9.25113916e-01 1.10963526e-07 6.21064203e-07 7.48853683e-02]\n  [9.37126756e-01 2.92412370e-08 2.44242926e-07 6.28729463e-02]\n  [9.34222519e-01 3.61262025e-08 3.36035015e-07 6.57772273e-02]\n  [9.30253983e-01 3.90134218e-08 3.88050523e-07 6.97457343e-02]]\n\n [[8.86902452e-01 1.60526368e-04 4.46773018e-04 1.12490304e-01]\n  [9.35338020e-01 6.37946323e-06 2.17660454e-05 6.46339133e-02]\n  [9.47718680e-01 3.29614522e-06 1.24009312e-05 5.22655919e-02]\n  [9.45072412e-01 4.35599350e-06 1.70977710e-05 5.49061000e-02]\n  [9.40400302e-01 5.05750722e-06 2.01288785e-05 5.95744364e-02]]]\nPredicted mask after argmax for 2008_001374: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001374 has shape: (313, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001374. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001374: (1, 256, 256, 4)\nSome predicted mask values: [[[9.27641273e-01 3.75683048e-05 6.57670025e-05 7.22553954e-02]\n  [9.53019381e-01 3.52604019e-07 7.68838504e-07 4.69795130e-02]\n  [9.60629642e-01 6.51686705e-08 2.22026657e-07 3.93700749e-02]\n  [9.59969163e-01 6.02103114e-08 2.46505408e-07 4.00305018e-02]\n  [9.59477961e-01 4.82015352e-08 2.18201677e-07 4.05218676e-02]]\n\n [[9.69708860e-01 1.35819789e-07 4.58345028e-07 3.02906036e-02]\n  [9.70005333e-01 2.99206576e-10 1.32553823e-09 2.99947187e-02]\n  [9.69425619e-01 4.95881079e-11 4.44194126e-10 3.05743329e-02]\n  [9.66421485e-01 7.09379638e-11 8.75549799e-10 3.35785821e-02]\n  [9.65555727e-01 5.56918574e-11 8.67787509e-10 3.44442353e-02]]\n\n [[9.83497143e-01 1.28997675e-08 6.44019735e-08 1.65028013e-02]\n  [9.81967807e-01 1.90120506e-11 1.50088858e-10 1.80322621e-02]\n  [9.78933990e-01 3.94022185e-12 8.01406858e-11 2.10660119e-02]\n  [9.74872589e-01 6.14162367e-12 1.79966542e-10 2.51274202e-02]\n  [9.74580288e-01 4.51684133e-12 1.66609157e-10 2.54197363e-02]]\n\n ...\n\n [[9.18800473e-01 6.94785194e-06 2.43992472e-05 8.11681822e-02]\n  [9.20794785e-01 6.22596730e-08 4.21149366e-07 7.92046636e-02]\n  [9.30048585e-01 1.30305313e-08 1.40147279e-07 6.99512213e-02]\n  [9.32294726e-01 1.47547627e-08 1.86968180e-07 6.77050650e-02]\n  [9.31599677e-01 1.59641136e-08 2.02420068e-07 6.84000850e-02]]\n\n [[9.16503966e-01 1.03270331e-05 3.52591014e-05 8.34503025e-02]\n  [9.25113916e-01 1.10963526e-07 6.21064203e-07 7.48853683e-02]\n  [9.37126756e-01 2.92412370e-08 2.44242926e-07 6.28729463e-02]\n  [9.34222519e-01 3.61262025e-08 3.36035015e-07 6.57772273e-02]\n  [9.30253983e-01 3.90134218e-08 3.88050523e-07 6.97457343e-02]]\n\n [[8.86902452e-01 1.60526368e-04 4.46773018e-04 1.12490304e-01]\n  [9.35338020e-01 6.37946323e-06 2.17660454e-05 6.46339133e-02]\n  [9.47718680e-01 3.29614522e-06 1.24009312e-05 5.22655919e-02]\n  [9.45072412e-01 4.35599350e-06 1.70977710e-05 5.49061000e-02]\n  [9.40400302e-01 5.05750722e-06 2.01288785e-05 5.95744364e-02]]]\nPredicted mask after argmax for 2008_001374: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001374 has shape: (313, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001374. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001379.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001379: (1, 256, 256, 4)\nSome predicted mask values: [[[9.72522974e-01 1.10260464e-06 2.32357752e-06 2.74735559e-02]\n  [9.84911084e-01 3.79157505e-09 6.86028834e-09 1.50889540e-02]\n  [9.87925887e-01 4.37342662e-10 1.44126611e-09 1.20741660e-02]\n  [9.87574756e-01 2.65882594e-10 1.31789279e-09 1.24253128e-02]\n  [9.88202393e-01 1.12658896e-10 7.10498549e-10 1.17975771e-02]]\n\n [[9.91395175e-01 7.23268168e-10 3.25235017e-09 8.60482268e-03]\n  [9.90243971e-01 3.71253538e-13 1.73728545e-12 9.75603051e-03]\n  [9.87298906e-01 5.86891443e-14 6.58328969e-13 1.27010569e-02]\n  [9.85416234e-01 7.28100780e-14 1.50432032e-12 1.45838056e-02]\n  [9.85501528e-01 2.80777666e-14 9.24396952e-13 1.44984005e-02]]\n\n [[9.96949255e-01 1.45491136e-11 1.12584615e-10 3.05080391e-03]\n  [9.96160626e-01 4.19925986e-15 4.45020167e-14 3.83939827e-03]\n  [9.93941724e-01 8.75519089e-16 3.89753605e-14 6.05819002e-03]\n  [9.90563989e-01 1.64540173e-15 1.49176949e-13 9.43599083e-03]\n  [9.91087139e-01 4.45079921e-16 6.98373108e-14 8.91292188e-03]]\n\n ...\n\n [[8.94641519e-01 3.51383896e-05 1.06071522e-04 1.05217226e-01]\n  [8.96059334e-01 7.27386464e-07 3.73621947e-06 1.03936225e-01]\n  [9.04648185e-01 2.46822424e-07 1.80867414e-06 9.53498259e-02]\n  [9.06048298e-01 3.19106448e-07 2.59633089e-06 9.39488709e-02]\n  [9.03236270e-01 4.01294301e-07 3.16749720e-06 9.67602432e-02]]\n\n [[8.86422873e-01 6.32365409e-05 1.81706331e-04 1.13332182e-01]\n  [8.94761205e-01 1.60789193e-06 6.96095049e-06 1.05230302e-01]\n  [9.08387601e-01 6.22217840e-07 3.65764322e-06 9.16080773e-02]\n  [9.03079391e-01 7.94974255e-07 5.00260421e-06 9.69149247e-02]\n  [8.99641037e-01 9.19503520e-07 6.07763104e-06 1.00351945e-01]]\n\n [[8.47918093e-01 7.04291102e-04 1.67029467e-03 1.49707198e-01]\n  [8.98645163e-01 5.81059940e-05 1.60950251e-04 1.01135910e-01]\n  [9.12734449e-01 3.68326037e-05 1.11339126e-04 8.71174186e-02]\n  [9.06974137e-01 4.63303259e-05 1.42633027e-04 9.28369462e-02]\n  [8.99680018e-01 5.38875647e-05 1.65660254e-04 1.00100480e-01]]]\nPredicted mask after argmax for 2008_001379: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001379 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001379. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001379.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001379: (1, 256, 256, 4)\nSome predicted mask values: [[[9.72522974e-01 1.10260464e-06 2.32357752e-06 2.74735559e-02]\n  [9.84911084e-01 3.79157505e-09 6.86028834e-09 1.50889540e-02]\n  [9.87925887e-01 4.37342662e-10 1.44126611e-09 1.20741660e-02]\n  [9.87574756e-01 2.65882594e-10 1.31789279e-09 1.24253128e-02]\n  [9.88202393e-01 1.12658896e-10 7.10498549e-10 1.17975771e-02]]\n\n [[9.91395175e-01 7.23268168e-10 3.25235017e-09 8.60482268e-03]\n  [9.90243971e-01 3.71253538e-13 1.73728545e-12 9.75603051e-03]\n  [9.87298906e-01 5.86891443e-14 6.58328969e-13 1.27010569e-02]\n  [9.85416234e-01 7.28100780e-14 1.50432032e-12 1.45838056e-02]\n  [9.85501528e-01 2.80777666e-14 9.24396952e-13 1.44984005e-02]]\n\n [[9.96949255e-01 1.45491136e-11 1.12584615e-10 3.05080391e-03]\n  [9.96160626e-01 4.19925986e-15 4.45020167e-14 3.83939827e-03]\n  [9.93941724e-01 8.75519089e-16 3.89753605e-14 6.05819002e-03]\n  [9.90563989e-01 1.64540173e-15 1.49176949e-13 9.43599083e-03]\n  [9.91087139e-01 4.45079921e-16 6.98373108e-14 8.91292188e-03]]\n\n ...\n\n [[8.94641519e-01 3.51383896e-05 1.06071522e-04 1.05217226e-01]\n  [8.96059334e-01 7.27386464e-07 3.73621947e-06 1.03936225e-01]\n  [9.04648185e-01 2.46822424e-07 1.80867414e-06 9.53498259e-02]\n  [9.06048298e-01 3.19106448e-07 2.59633089e-06 9.39488709e-02]\n  [9.03236270e-01 4.01294301e-07 3.16749720e-06 9.67602432e-02]]\n\n [[8.86422873e-01 6.32365409e-05 1.81706331e-04 1.13332182e-01]\n  [8.94761205e-01 1.60789193e-06 6.96095049e-06 1.05230302e-01]\n  [9.08387601e-01 6.22217840e-07 3.65764322e-06 9.16080773e-02]\n  [9.03079391e-01 7.94974255e-07 5.00260421e-06 9.69149247e-02]\n  [8.99641037e-01 9.19503520e-07 6.07763104e-06 1.00351945e-01]]\n\n [[8.47918093e-01 7.04291102e-04 1.67029467e-03 1.49707198e-01]\n  [8.98645163e-01 5.81059940e-05 1.60950251e-04 1.01135910e-01]\n  [9.12734449e-01 3.68326037e-05 1.11339126e-04 8.71174186e-02]\n  [9.06974137e-01 4.63303259e-05 1.42633027e-04 9.28369462e-02]\n  [8.99680018e-01 5.38875647e-05 1.65660254e-04 1.00100480e-01]]]\nPredicted mask after argmax for 2008_001379: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001379 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001379. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001379.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001379: (1, 256, 256, 4)\nSome predicted mask values: [[[9.72522974e-01 1.10260464e-06 2.32357752e-06 2.74735559e-02]\n  [9.84911084e-01 3.79157505e-09 6.86028834e-09 1.50889540e-02]\n  [9.87925887e-01 4.37342662e-10 1.44126611e-09 1.20741660e-02]\n  [9.87574756e-01 2.65882594e-10 1.31789279e-09 1.24253128e-02]\n  [9.88202393e-01 1.12658896e-10 7.10498549e-10 1.17975771e-02]]\n\n [[9.91395175e-01 7.23268168e-10 3.25235017e-09 8.60482268e-03]\n  [9.90243971e-01 3.71253538e-13 1.73728545e-12 9.75603051e-03]\n  [9.87298906e-01 5.86891443e-14 6.58328969e-13 1.27010569e-02]\n  [9.85416234e-01 7.28100780e-14 1.50432032e-12 1.45838056e-02]\n  [9.85501528e-01 2.80777666e-14 9.24396952e-13 1.44984005e-02]]\n\n [[9.96949255e-01 1.45491136e-11 1.12584615e-10 3.05080391e-03]\n  [9.96160626e-01 4.19925986e-15 4.45020167e-14 3.83939827e-03]\n  [9.93941724e-01 8.75519089e-16 3.89753605e-14 6.05819002e-03]\n  [9.90563989e-01 1.64540173e-15 1.49176949e-13 9.43599083e-03]\n  [9.91087139e-01 4.45079921e-16 6.98373108e-14 8.91292188e-03]]\n\n ...\n\n [[8.94641519e-01 3.51383896e-05 1.06071522e-04 1.05217226e-01]\n  [8.96059334e-01 7.27386464e-07 3.73621947e-06 1.03936225e-01]\n  [9.04648185e-01 2.46822424e-07 1.80867414e-06 9.53498259e-02]\n  [9.06048298e-01 3.19106448e-07 2.59633089e-06 9.39488709e-02]\n  [9.03236270e-01 4.01294301e-07 3.16749720e-06 9.67602432e-02]]\n\n [[8.86422873e-01 6.32365409e-05 1.81706331e-04 1.13332182e-01]\n  [8.94761205e-01 1.60789193e-06 6.96095049e-06 1.05230302e-01]\n  [9.08387601e-01 6.22217840e-07 3.65764322e-06 9.16080773e-02]\n  [9.03079391e-01 7.94974255e-07 5.00260421e-06 9.69149247e-02]\n  [8.99641037e-01 9.19503520e-07 6.07763104e-06 1.00351945e-01]]\n\n [[8.47918093e-01 7.04291102e-04 1.67029467e-03 1.49707198e-01]\n  [8.98645163e-01 5.81059940e-05 1.60950251e-04 1.01135910e-01]\n  [9.12734449e-01 3.68326037e-05 1.11339126e-04 8.71174186e-02]\n  [9.06974137e-01 4.63303259e-05 1.42633027e-04 9.28369462e-02]\n  [8.99680018e-01 5.38875647e-05 1.65660254e-04 1.00100480e-01]]]\nPredicted mask after argmax for 2008_001379: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001379 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001379. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001379.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001379: (1, 256, 256, 4)\nSome predicted mask values: [[[9.72522974e-01 1.10260464e-06 2.32357752e-06 2.74735559e-02]\n  [9.84911084e-01 3.79157505e-09 6.86028834e-09 1.50889540e-02]\n  [9.87925887e-01 4.37342662e-10 1.44126611e-09 1.20741660e-02]\n  [9.87574756e-01 2.65882594e-10 1.31789279e-09 1.24253128e-02]\n  [9.88202393e-01 1.12658896e-10 7.10498549e-10 1.17975771e-02]]\n\n [[9.91395175e-01 7.23268168e-10 3.25235017e-09 8.60482268e-03]\n  [9.90243971e-01 3.71253538e-13 1.73728545e-12 9.75603051e-03]\n  [9.87298906e-01 5.86891443e-14 6.58328969e-13 1.27010569e-02]\n  [9.85416234e-01 7.28100780e-14 1.50432032e-12 1.45838056e-02]\n  [9.85501528e-01 2.80777666e-14 9.24396952e-13 1.44984005e-02]]\n\n [[9.96949255e-01 1.45491136e-11 1.12584615e-10 3.05080391e-03]\n  [9.96160626e-01 4.19925986e-15 4.45020167e-14 3.83939827e-03]\n  [9.93941724e-01 8.75519089e-16 3.89753605e-14 6.05819002e-03]\n  [9.90563989e-01 1.64540173e-15 1.49176949e-13 9.43599083e-03]\n  [9.91087139e-01 4.45079921e-16 6.98373108e-14 8.91292188e-03]]\n\n ...\n\n [[8.94641519e-01 3.51383896e-05 1.06071522e-04 1.05217226e-01]\n  [8.96059334e-01 7.27386464e-07 3.73621947e-06 1.03936225e-01]\n  [9.04648185e-01 2.46822424e-07 1.80867414e-06 9.53498259e-02]\n  [9.06048298e-01 3.19106448e-07 2.59633089e-06 9.39488709e-02]\n  [9.03236270e-01 4.01294301e-07 3.16749720e-06 9.67602432e-02]]\n\n [[8.86422873e-01 6.32365409e-05 1.81706331e-04 1.13332182e-01]\n  [8.94761205e-01 1.60789193e-06 6.96095049e-06 1.05230302e-01]\n  [9.08387601e-01 6.22217840e-07 3.65764322e-06 9.16080773e-02]\n  [9.03079391e-01 7.94974255e-07 5.00260421e-06 9.69149247e-02]\n  [8.99641037e-01 9.19503520e-07 6.07763104e-06 1.00351945e-01]]\n\n [[8.47918093e-01 7.04291102e-04 1.67029467e-03 1.49707198e-01]\n  [8.98645163e-01 5.81059940e-05 1.60950251e-04 1.01135910e-01]\n  [9.12734449e-01 3.68326037e-05 1.11339126e-04 8.71174186e-02]\n  [9.06974137e-01 4.63303259e-05 1.42633027e-04 9.28369462e-02]\n  [8.99680018e-01 5.38875647e-05 1.65660254e-04 1.00100480e-01]]]\nPredicted mask after argmax for 2008_001379: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001379 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001379. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001382.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001382: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70028877e-01 1.40725592e-06 2.95437030e-06 2.99667623e-02]\n  [9.83908951e-01 4.43115455e-09 8.68524985e-09 1.60910636e-02]\n  [9.87962604e-01 4.76655826e-10 1.53935653e-09 1.20373806e-02]\n  [9.87824440e-01 3.37977452e-10 1.46953305e-09 1.21756243e-02]\n  [9.88534749e-01 1.74436701e-10 8.97896202e-10 1.14653055e-02]]\n\n [[9.89373744e-01 1.45080292e-09 6.31367136e-09 1.06263002e-02]\n  [9.88778710e-01 8.55168150e-13 4.08083723e-12 1.12213166e-02]\n  [9.86583591e-01 1.27360755e-13 1.26651044e-12 1.34163834e-02]\n  [9.84241068e-01 2.02048922e-13 3.17366706e-12 1.57589205e-02]\n  [9.84125853e-01 1.03775529e-13 2.32723216e-12 1.58741642e-02]]\n\n [[9.95615363e-01 6.00742234e-11 4.28465041e-10 4.38464293e-03]\n  [9.94716346e-01 2.56875633e-14 2.60110049e-13 5.28371474e-03]\n  [9.92122054e-01 6.11567148e-15 2.07960399e-13 7.87801109e-03]\n  [9.87708330e-01 1.72052127e-14 1.02044415e-12 1.22916596e-02]\n  [9.87197101e-01 9.14430597e-15 8.02051242e-13 1.28028560e-02]]\n\n ...\n\n [[9.01323020e-01 2.52041191e-05 8.03119328e-05 9.85714719e-02]\n  [9.08610165e-01 4.22176356e-07 2.22798599e-06 9.13871154e-02]\n  [9.11489069e-01 1.45502582e-07 1.14288707e-06 8.85096639e-02]\n  [9.14071798e-01 1.81058610e-07 1.61320997e-06 8.59263614e-02]\n  [9.12278652e-01 2.12099465e-07 1.86825889e-06 8.77193213e-02]]\n\n [[8.84680152e-01 6.30912182e-05 1.89420898e-04 1.15067340e-01]\n  [8.97292674e-01 1.45023182e-06 6.57324290e-06 1.02699354e-01]\n  [9.07938898e-01 5.42614828e-07 3.44705222e-06 9.20571685e-02]\n  [9.05026555e-01 6.42185341e-07 4.42845112e-06 9.49683413e-02]\n  [9.03209686e-01 6.64460458e-07 4.93482185e-06 9.67846885e-02]]\n\n [[8.39655519e-01 8.67446885e-04 2.09715357e-03 1.57379881e-01]\n  [8.88364196e-01 7.80596019e-05 2.18338086e-04 1.11339413e-01]\n  [9.02363241e-01 4.85816308e-05 1.55070593e-04 9.74329710e-02]\n  [8.96266103e-01 5.98745610e-05 1.96557929e-04 1.03477426e-01]\n  [8.89301658e-01 6.54535179e-05 2.19164212e-04 1.10413820e-01]]]\nPredicted mask after argmax for 2008_001382: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001382 has shape: (444, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001382. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001382.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001382: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70028877e-01 1.40725592e-06 2.95437030e-06 2.99667623e-02]\n  [9.83908951e-01 4.43115455e-09 8.68524985e-09 1.60910636e-02]\n  [9.87962604e-01 4.76655826e-10 1.53935653e-09 1.20373806e-02]\n  [9.87824440e-01 3.37977452e-10 1.46953305e-09 1.21756243e-02]\n  [9.88534749e-01 1.74436701e-10 8.97896202e-10 1.14653055e-02]]\n\n [[9.89373744e-01 1.45080292e-09 6.31367136e-09 1.06263002e-02]\n  [9.88778710e-01 8.55168150e-13 4.08083723e-12 1.12213166e-02]\n  [9.86583591e-01 1.27360755e-13 1.26651044e-12 1.34163834e-02]\n  [9.84241068e-01 2.02048922e-13 3.17366706e-12 1.57589205e-02]\n  [9.84125853e-01 1.03775529e-13 2.32723216e-12 1.58741642e-02]]\n\n [[9.95615363e-01 6.00742234e-11 4.28465041e-10 4.38464293e-03]\n  [9.94716346e-01 2.56875633e-14 2.60110049e-13 5.28371474e-03]\n  [9.92122054e-01 6.11567148e-15 2.07960399e-13 7.87801109e-03]\n  [9.87708330e-01 1.72052127e-14 1.02044415e-12 1.22916596e-02]\n  [9.87197101e-01 9.14430597e-15 8.02051242e-13 1.28028560e-02]]\n\n ...\n\n [[9.01323020e-01 2.52041191e-05 8.03119328e-05 9.85714719e-02]\n  [9.08610165e-01 4.22176356e-07 2.22798599e-06 9.13871154e-02]\n  [9.11489069e-01 1.45502582e-07 1.14288707e-06 8.85096639e-02]\n  [9.14071798e-01 1.81058610e-07 1.61320997e-06 8.59263614e-02]\n  [9.12278652e-01 2.12099465e-07 1.86825889e-06 8.77193213e-02]]\n\n [[8.84680152e-01 6.30912182e-05 1.89420898e-04 1.15067340e-01]\n  [8.97292674e-01 1.45023182e-06 6.57324290e-06 1.02699354e-01]\n  [9.07938898e-01 5.42614828e-07 3.44705222e-06 9.20571685e-02]\n  [9.05026555e-01 6.42185341e-07 4.42845112e-06 9.49683413e-02]\n  [9.03209686e-01 6.64460458e-07 4.93482185e-06 9.67846885e-02]]\n\n [[8.39655519e-01 8.67446885e-04 2.09715357e-03 1.57379881e-01]\n  [8.88364196e-01 7.80596019e-05 2.18338086e-04 1.11339413e-01]\n  [9.02363241e-01 4.85816308e-05 1.55070593e-04 9.74329710e-02]\n  [8.96266103e-01 5.98745610e-05 1.96557929e-04 1.03477426e-01]\n  [8.89301658e-01 6.54535179e-05 2.19164212e-04 1.10413820e-01]]]\nPredicted mask after argmax for 2008_001382: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001382 has shape: (444, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001382. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001382.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_001382: (1, 256, 256, 4)\nSome predicted mask values: [[[9.70028877e-01 1.40725592e-06 2.95437030e-06 2.99667623e-02]\n  [9.83908951e-01 4.43115455e-09 8.68524985e-09 1.60910636e-02]\n  [9.87962604e-01 4.76655826e-10 1.53935653e-09 1.20373806e-02]\n  [9.87824440e-01 3.37977452e-10 1.46953305e-09 1.21756243e-02]\n  [9.88534749e-01 1.74436701e-10 8.97896202e-10 1.14653055e-02]]\n\n [[9.89373744e-01 1.45080292e-09 6.31367136e-09 1.06263002e-02]\n  [9.88778710e-01 8.55168150e-13 4.08083723e-12 1.12213166e-02]\n  [9.86583591e-01 1.27360755e-13 1.26651044e-12 1.34163834e-02]\n  [9.84241068e-01 2.02048922e-13 3.17366706e-12 1.57589205e-02]\n  [9.84125853e-01 1.03775529e-13 2.32723216e-12 1.58741642e-02]]\n\n [[9.95615363e-01 6.00742234e-11 4.28465041e-10 4.38464293e-03]\n  [9.94716346e-01 2.56875633e-14 2.60110049e-13 5.28371474e-03]\n  [9.92122054e-01 6.11567148e-15 2.07960399e-13 7.87801109e-03]\n  [9.87708330e-01 1.72052127e-14 1.02044415e-12 1.22916596e-02]\n  [9.87197101e-01 9.14430597e-15 8.02051242e-13 1.28028560e-02]]\n\n ...\n\n [[9.01323020e-01 2.52041191e-05 8.03119328e-05 9.85714719e-02]\n  [9.08610165e-01 4.22176356e-07 2.22798599e-06 9.13871154e-02]\n  [9.11489069e-01 1.45502582e-07 1.14288707e-06 8.85096639e-02]\n  [9.14071798e-01 1.81058610e-07 1.61320997e-06 8.59263614e-02]\n  [9.12278652e-01 2.12099465e-07 1.86825889e-06 8.77193213e-02]]\n\n [[8.84680152e-01 6.30912182e-05 1.89420898e-04 1.15067340e-01]\n  [8.97292674e-01 1.45023182e-06 6.57324290e-06 1.02699354e-01]\n  [9.07938898e-01 5.42614828e-07 3.44705222e-06 9.20571685e-02]\n  [9.05026555e-01 6.42185341e-07 4.42845112e-06 9.49683413e-02]\n  [9.03209686e-01 6.64460458e-07 4.93482185e-06 9.67846885e-02]]\n\n [[8.39655519e-01 8.67446885e-04 2.09715357e-03 1.57379881e-01]\n  [8.88364196e-01 7.80596019e-05 2.18338086e-04 1.11339413e-01]\n  [9.02363241e-01 4.85816308e-05 1.55070593e-04 9.74329710e-02]\n  [8.96266103e-01 5.98745610e-05 1.96557929e-04 1.03477426e-01]\n  [8.89301658e-01 6.54535179e-05 2.19164212e-04 1.10413820e-01]]]\nPredicted mask after argmax for 2008_001382: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001382 has shape: (444, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001382. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001410: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7012830e-01 5.4970491e-07 1.3689430e-06 2.9869774e-02]\n  [9.9019021e-01 1.2415205e-10 4.8716781e-10 9.8098274e-03]\n  [9.9566734e-01 1.1181077e-12 7.9963848e-12 4.3326411e-03]\n  [9.9692839e-01 1.9250324e-13 1.7247431e-12 3.0716092e-03]\n  [9.9749362e-01 6.6040245e-14 6.3138665e-13 2.5064156e-03]]\n\n [[9.8819131e-01 3.6550468e-10 2.3116384e-09 1.1808674e-02]\n  [9.9370295e-01 5.4479334e-15 6.4340087e-14 6.2969867e-03]\n  [9.9647254e-01 1.7956220e-17 5.5173376e-16 3.5274033e-03]\n  [9.9679780e-01 3.7880931e-18 1.7958255e-16 3.2021927e-03]\n  [9.9681652e-01 1.5468330e-18 9.0421766e-17 3.1834550e-03]]\n\n [[9.9476504e-01 1.6125674e-11 1.9019515e-10 5.2349521e-03]\n  [9.9734557e-01 8.6463621e-17 3.1760087e-15 2.6543846e-03]\n  [9.9798930e-01 3.1978500e-19 4.8719423e-17 2.0106626e-03]\n  [9.9795145e-01 8.0383809e-20 2.2768669e-17 2.0486331e-03]\n  [9.9792695e-01 3.8344203e-20 1.4244494e-17 2.0730156e-03]]\n\n ...\n\n [[9.0070122e-01 1.2063757e-05 4.4041670e-05 9.9242717e-02]\n  [9.1631007e-01 9.6329899e-08 7.3596470e-07 8.3689049e-02]\n  [9.3071896e-01 1.7507720e-08 1.9650408e-07 6.9280788e-02]\n  [9.3317640e-01 2.0751134e-08 2.4965675e-07 6.6823453e-02]\n  [9.3191212e-01 2.3273447e-08 2.7556803e-07 6.8087615e-02]]\n\n [[8.9314920e-01 2.3146064e-05 8.0642989e-05 1.0674710e-01]\n  [9.1398937e-01 2.6362102e-07 1.6111104e-06 8.6008787e-02]\n  [9.2668766e-01 6.2238499e-08 5.1989701e-07 7.3311709e-02]\n  [9.2749816e-01 6.7412557e-08 6.2646251e-07 7.2500989e-02]\n  [9.2574555e-01 7.1401544e-08 7.0257340e-07 7.4253730e-02]]\n\n [[8.5884625e-01 3.7078402e-04 1.0025691e-03 1.3978039e-01]\n  [9.1208452e-01 2.0191170e-05 6.5140295e-05 8.7830156e-02]\n  [9.2968333e-01 9.0861886e-06 3.4212157e-05 7.0273355e-02]\n  [9.2626071e-01 1.0769098e-05 4.1392872e-05 7.3687084e-02]\n  [9.2233169e-01 1.1576195e-05 4.5454530e-05 7.7611364e-02]]]\nPredicted mask after argmax for 2008_001410: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001410 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001410. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001410: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7012830e-01 5.4970491e-07 1.3689430e-06 2.9869774e-02]\n  [9.9019021e-01 1.2415205e-10 4.8716781e-10 9.8098274e-03]\n  [9.9566734e-01 1.1181077e-12 7.9963848e-12 4.3326411e-03]\n  [9.9692839e-01 1.9250324e-13 1.7247431e-12 3.0716092e-03]\n  [9.9749362e-01 6.6040245e-14 6.3138665e-13 2.5064156e-03]]\n\n [[9.8819131e-01 3.6550468e-10 2.3116384e-09 1.1808674e-02]\n  [9.9370295e-01 5.4479334e-15 6.4340087e-14 6.2969867e-03]\n  [9.9647254e-01 1.7956220e-17 5.5173376e-16 3.5274033e-03]\n  [9.9679780e-01 3.7880931e-18 1.7958255e-16 3.2021927e-03]\n  [9.9681652e-01 1.5468330e-18 9.0421766e-17 3.1834550e-03]]\n\n [[9.9476504e-01 1.6125674e-11 1.9019515e-10 5.2349521e-03]\n  [9.9734557e-01 8.6463621e-17 3.1760087e-15 2.6543846e-03]\n  [9.9798930e-01 3.1978500e-19 4.8719423e-17 2.0106626e-03]\n  [9.9795145e-01 8.0383809e-20 2.2768669e-17 2.0486331e-03]\n  [9.9792695e-01 3.8344203e-20 1.4244494e-17 2.0730156e-03]]\n\n ...\n\n [[9.0070122e-01 1.2063757e-05 4.4041670e-05 9.9242717e-02]\n  [9.1631007e-01 9.6329899e-08 7.3596470e-07 8.3689049e-02]\n  [9.3071896e-01 1.7507720e-08 1.9650408e-07 6.9280788e-02]\n  [9.3317640e-01 2.0751134e-08 2.4965675e-07 6.6823453e-02]\n  [9.3191212e-01 2.3273447e-08 2.7556803e-07 6.8087615e-02]]\n\n [[8.9314920e-01 2.3146064e-05 8.0642989e-05 1.0674710e-01]\n  [9.1398937e-01 2.6362102e-07 1.6111104e-06 8.6008787e-02]\n  [9.2668766e-01 6.2238499e-08 5.1989701e-07 7.3311709e-02]\n  [9.2749816e-01 6.7412557e-08 6.2646251e-07 7.2500989e-02]\n  [9.2574555e-01 7.1401544e-08 7.0257340e-07 7.4253730e-02]]\n\n [[8.5884625e-01 3.7078402e-04 1.0025691e-03 1.3978039e-01]\n  [9.1208452e-01 2.0191170e-05 6.5140295e-05 8.7830156e-02]\n  [9.2968333e-01 9.0861886e-06 3.4212157e-05 7.0273355e-02]\n  [9.2626071e-01 1.0769098e-05 4.1392872e-05 7.3687084e-02]\n  [9.2233169e-01 1.1576195e-05 4.5454530e-05 7.7611364e-02]]]\nPredicted mask after argmax for 2008_001410: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001410 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001410. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001410: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7012830e-01 5.4970491e-07 1.3689430e-06 2.9869774e-02]\n  [9.9019021e-01 1.2415205e-10 4.8716781e-10 9.8098274e-03]\n  [9.9566734e-01 1.1181077e-12 7.9963848e-12 4.3326411e-03]\n  [9.9692839e-01 1.9250324e-13 1.7247431e-12 3.0716092e-03]\n  [9.9749362e-01 6.6040245e-14 6.3138665e-13 2.5064156e-03]]\n\n [[9.8819131e-01 3.6550468e-10 2.3116384e-09 1.1808674e-02]\n  [9.9370295e-01 5.4479334e-15 6.4340087e-14 6.2969867e-03]\n  [9.9647254e-01 1.7956220e-17 5.5173376e-16 3.5274033e-03]\n  [9.9679780e-01 3.7880931e-18 1.7958255e-16 3.2021927e-03]\n  [9.9681652e-01 1.5468330e-18 9.0421766e-17 3.1834550e-03]]\n\n [[9.9476504e-01 1.6125674e-11 1.9019515e-10 5.2349521e-03]\n  [9.9734557e-01 8.6463621e-17 3.1760087e-15 2.6543846e-03]\n  [9.9798930e-01 3.1978500e-19 4.8719423e-17 2.0106626e-03]\n  [9.9795145e-01 8.0383809e-20 2.2768669e-17 2.0486331e-03]\n  [9.9792695e-01 3.8344203e-20 1.4244494e-17 2.0730156e-03]]\n\n ...\n\n [[9.0070122e-01 1.2063757e-05 4.4041670e-05 9.9242717e-02]\n  [9.1631007e-01 9.6329899e-08 7.3596470e-07 8.3689049e-02]\n  [9.3071896e-01 1.7507720e-08 1.9650408e-07 6.9280788e-02]\n  [9.3317640e-01 2.0751134e-08 2.4965675e-07 6.6823453e-02]\n  [9.3191212e-01 2.3273447e-08 2.7556803e-07 6.8087615e-02]]\n\n [[8.9314920e-01 2.3146064e-05 8.0642989e-05 1.0674710e-01]\n  [9.1398937e-01 2.6362102e-07 1.6111104e-06 8.6008787e-02]\n  [9.2668766e-01 6.2238499e-08 5.1989701e-07 7.3311709e-02]\n  [9.2749816e-01 6.7412557e-08 6.2646251e-07 7.2500989e-02]\n  [9.2574555e-01 7.1401544e-08 7.0257340e-07 7.4253730e-02]]\n\n [[8.5884625e-01 3.7078402e-04 1.0025691e-03 1.3978039e-01]\n  [9.1208452e-01 2.0191170e-05 6.5140295e-05 8.7830156e-02]\n  [9.2968333e-01 9.0861886e-06 3.4212157e-05 7.0273355e-02]\n  [9.2626071e-01 1.0769098e-05 4.1392872e-05 7.3687084e-02]\n  [9.2233169e-01 1.1576195e-05 4.5454530e-05 7.7611364e-02]]]\nPredicted mask after argmax for 2008_001410: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001410 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001410. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001410: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7012830e-01 5.4970491e-07 1.3689430e-06 2.9869774e-02]\n  [9.9019021e-01 1.2415205e-10 4.8716781e-10 9.8098274e-03]\n  [9.9566734e-01 1.1181077e-12 7.9963848e-12 4.3326411e-03]\n  [9.9692839e-01 1.9250324e-13 1.7247431e-12 3.0716092e-03]\n  [9.9749362e-01 6.6040245e-14 6.3138665e-13 2.5064156e-03]]\n\n [[9.8819131e-01 3.6550468e-10 2.3116384e-09 1.1808674e-02]\n  [9.9370295e-01 5.4479334e-15 6.4340087e-14 6.2969867e-03]\n  [9.9647254e-01 1.7956220e-17 5.5173376e-16 3.5274033e-03]\n  [9.9679780e-01 3.7880931e-18 1.7958255e-16 3.2021927e-03]\n  [9.9681652e-01 1.5468330e-18 9.0421766e-17 3.1834550e-03]]\n\n [[9.9476504e-01 1.6125674e-11 1.9019515e-10 5.2349521e-03]\n  [9.9734557e-01 8.6463621e-17 3.1760087e-15 2.6543846e-03]\n  [9.9798930e-01 3.1978500e-19 4.8719423e-17 2.0106626e-03]\n  [9.9795145e-01 8.0383809e-20 2.2768669e-17 2.0486331e-03]\n  [9.9792695e-01 3.8344203e-20 1.4244494e-17 2.0730156e-03]]\n\n ...\n\n [[9.0070122e-01 1.2063757e-05 4.4041670e-05 9.9242717e-02]\n  [9.1631007e-01 9.6329899e-08 7.3596470e-07 8.3689049e-02]\n  [9.3071896e-01 1.7507720e-08 1.9650408e-07 6.9280788e-02]\n  [9.3317640e-01 2.0751134e-08 2.4965675e-07 6.6823453e-02]\n  [9.3191212e-01 2.3273447e-08 2.7556803e-07 6.8087615e-02]]\n\n [[8.9314920e-01 2.3146064e-05 8.0642989e-05 1.0674710e-01]\n  [9.1398937e-01 2.6362102e-07 1.6111104e-06 8.6008787e-02]\n  [9.2668766e-01 6.2238499e-08 5.1989701e-07 7.3311709e-02]\n  [9.2749816e-01 6.7412557e-08 6.2646251e-07 7.2500989e-02]\n  [9.2574555e-01 7.1401544e-08 7.0257340e-07 7.4253730e-02]]\n\n [[8.5884625e-01 3.7078402e-04 1.0025691e-03 1.3978039e-01]\n  [9.1208452e-01 2.0191170e-05 6.5140295e-05 8.7830156e-02]\n  [9.2968333e-01 9.0861886e-06 3.4212157e-05 7.0273355e-02]\n  [9.2626071e-01 1.0769098e-05 4.1392872e-05 7.3687084e-02]\n  [9.2233169e-01 1.1576195e-05 4.5454530e-05 7.7611364e-02]]]\nPredicted mask after argmax for 2008_001410: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001410 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001410. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001414.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001414: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79363263e-01 3.74380107e-07 8.25446023e-07 2.06355732e-02]\n  [9.89910662e-01 7.19387383e-10 1.29917355e-09 1.00893248e-02]\n  [9.92413700e-01 5.81336472e-11 1.85839705e-10 7.58635113e-03]\n  [9.92474914e-01 2.74289983e-11 1.35606415e-10 7.52512179e-03]\n  [9.93073940e-01 1.04599844e-11 6.56934576e-11 6.92607882e-03]]\n\n [[9.93814886e-01 1.72973608e-10 8.37424685e-10 6.18507992e-03]\n  [9.93250787e-01 4.33907196e-14 2.14704299e-13 6.74920483e-03]\n  [9.90983903e-01 5.09057611e-15 5.83742310e-14 9.01613757e-03]\n  [9.89574492e-01 5.42422323e-15 1.19343053e-13 1.04254782e-02]\n  [9.89726722e-01 2.01486840e-15 7.06539116e-14 1.02732601e-02]]\n\n [[9.97922242e-01 3.14665525e-12 2.61191624e-11 2.07774690e-03]\n  [9.97461200e-01 5.20505134e-16 5.83111880e-15 2.53882655e-03]\n  [9.95941937e-01 9.51244271e-17 4.80171755e-15 4.05805372e-03]\n  [9.92931008e-01 2.18173744e-16 2.32125415e-14 7.06893718e-03]\n  [9.92633045e-01 8.29888206e-17 1.52066622e-14 7.36688497e-03]]\n\n ...\n\n [[9.45495784e-01 1.97639770e-06 8.08357800e-06 5.44940792e-02]\n  [9.40504193e-01 1.84476061e-08 1.14999828e-07 5.94957396e-02]\n  [9.44811285e-01 4.56509675e-09 5.74875578e-08 5.51886670e-02]\n  [9.45341945e-01 4.71805928e-09 7.33462215e-08 5.46578914e-02]\n  [9.46087539e-01 4.34674829e-09 7.22132754e-08 5.39123155e-02]]\n\n [[9.26038265e-01 9.23783136e-06 3.36237790e-05 7.39187822e-02]\n  [9.26725626e-01 1.28197712e-07 6.61683373e-07 7.32736290e-02]\n  [9.38238680e-01 3.47223619e-08 3.19594562e-07 6.17610291e-02]\n  [9.36547697e-01 3.35326575e-08 3.66986825e-07 6.34519905e-02]\n  [9.34587717e-01 3.04669463e-08 3.79766760e-07 6.54119104e-02]]\n\n [[8.83045077e-01 2.45604635e-04 6.96847041e-04 1.16012417e-01]\n  [9.20597911e-01 1.44711821e-05 5.00039932e-05 7.93375671e-02]\n  [9.31609631e-01 8.09623634e-06 3.30629191e-05 6.83491379e-02]\n  [9.28173125e-01 9.30628630e-06 4.11973670e-05 7.17763826e-02]\n  [9.20543075e-01 9.70282144e-06 4.52891327e-05 7.94019103e-02]]]\nPredicted mask after argmax for 2008_001414: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001414 has shape: (416, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001414. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001414.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001414: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79363263e-01 3.74380107e-07 8.25446023e-07 2.06355732e-02]\n  [9.89910662e-01 7.19387383e-10 1.29917355e-09 1.00893248e-02]\n  [9.92413700e-01 5.81336472e-11 1.85839705e-10 7.58635113e-03]\n  [9.92474914e-01 2.74289983e-11 1.35606415e-10 7.52512179e-03]\n  [9.93073940e-01 1.04599844e-11 6.56934576e-11 6.92607882e-03]]\n\n [[9.93814886e-01 1.72973608e-10 8.37424685e-10 6.18507992e-03]\n  [9.93250787e-01 4.33907196e-14 2.14704299e-13 6.74920483e-03]\n  [9.90983903e-01 5.09057611e-15 5.83742310e-14 9.01613757e-03]\n  [9.89574492e-01 5.42422323e-15 1.19343053e-13 1.04254782e-02]\n  [9.89726722e-01 2.01486840e-15 7.06539116e-14 1.02732601e-02]]\n\n [[9.97922242e-01 3.14665525e-12 2.61191624e-11 2.07774690e-03]\n  [9.97461200e-01 5.20505134e-16 5.83111880e-15 2.53882655e-03]\n  [9.95941937e-01 9.51244271e-17 4.80171755e-15 4.05805372e-03]\n  [9.92931008e-01 2.18173744e-16 2.32125415e-14 7.06893718e-03]\n  [9.92633045e-01 8.29888206e-17 1.52066622e-14 7.36688497e-03]]\n\n ...\n\n [[9.45495784e-01 1.97639770e-06 8.08357800e-06 5.44940792e-02]\n  [9.40504193e-01 1.84476061e-08 1.14999828e-07 5.94957396e-02]\n  [9.44811285e-01 4.56509675e-09 5.74875578e-08 5.51886670e-02]\n  [9.45341945e-01 4.71805928e-09 7.33462215e-08 5.46578914e-02]\n  [9.46087539e-01 4.34674829e-09 7.22132754e-08 5.39123155e-02]]\n\n [[9.26038265e-01 9.23783136e-06 3.36237790e-05 7.39187822e-02]\n  [9.26725626e-01 1.28197712e-07 6.61683373e-07 7.32736290e-02]\n  [9.38238680e-01 3.47223619e-08 3.19594562e-07 6.17610291e-02]\n  [9.36547697e-01 3.35326575e-08 3.66986825e-07 6.34519905e-02]\n  [9.34587717e-01 3.04669463e-08 3.79766760e-07 6.54119104e-02]]\n\n [[8.83045077e-01 2.45604635e-04 6.96847041e-04 1.16012417e-01]\n  [9.20597911e-01 1.44711821e-05 5.00039932e-05 7.93375671e-02]\n  [9.31609631e-01 8.09623634e-06 3.30629191e-05 6.83491379e-02]\n  [9.28173125e-01 9.30628630e-06 4.11973670e-05 7.17763826e-02]\n  [9.20543075e-01 9.70282144e-06 4.52891327e-05 7.94019103e-02]]]\nPredicted mask after argmax for 2008_001414: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001414 has shape: (416, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001414. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001414.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001414: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79363263e-01 3.74380107e-07 8.25446023e-07 2.06355732e-02]\n  [9.89910662e-01 7.19387383e-10 1.29917355e-09 1.00893248e-02]\n  [9.92413700e-01 5.81336472e-11 1.85839705e-10 7.58635113e-03]\n  [9.92474914e-01 2.74289983e-11 1.35606415e-10 7.52512179e-03]\n  [9.93073940e-01 1.04599844e-11 6.56934576e-11 6.92607882e-03]]\n\n [[9.93814886e-01 1.72973608e-10 8.37424685e-10 6.18507992e-03]\n  [9.93250787e-01 4.33907196e-14 2.14704299e-13 6.74920483e-03]\n  [9.90983903e-01 5.09057611e-15 5.83742310e-14 9.01613757e-03]\n  [9.89574492e-01 5.42422323e-15 1.19343053e-13 1.04254782e-02]\n  [9.89726722e-01 2.01486840e-15 7.06539116e-14 1.02732601e-02]]\n\n [[9.97922242e-01 3.14665525e-12 2.61191624e-11 2.07774690e-03]\n  [9.97461200e-01 5.20505134e-16 5.83111880e-15 2.53882655e-03]\n  [9.95941937e-01 9.51244271e-17 4.80171755e-15 4.05805372e-03]\n  [9.92931008e-01 2.18173744e-16 2.32125415e-14 7.06893718e-03]\n  [9.92633045e-01 8.29888206e-17 1.52066622e-14 7.36688497e-03]]\n\n ...\n\n [[9.45495784e-01 1.97639770e-06 8.08357800e-06 5.44940792e-02]\n  [9.40504193e-01 1.84476061e-08 1.14999828e-07 5.94957396e-02]\n  [9.44811285e-01 4.56509675e-09 5.74875578e-08 5.51886670e-02]\n  [9.45341945e-01 4.71805928e-09 7.33462215e-08 5.46578914e-02]\n  [9.46087539e-01 4.34674829e-09 7.22132754e-08 5.39123155e-02]]\n\n [[9.26038265e-01 9.23783136e-06 3.36237790e-05 7.39187822e-02]\n  [9.26725626e-01 1.28197712e-07 6.61683373e-07 7.32736290e-02]\n  [9.38238680e-01 3.47223619e-08 3.19594562e-07 6.17610291e-02]\n  [9.36547697e-01 3.35326575e-08 3.66986825e-07 6.34519905e-02]\n  [9.34587717e-01 3.04669463e-08 3.79766760e-07 6.54119104e-02]]\n\n [[8.83045077e-01 2.45604635e-04 6.96847041e-04 1.16012417e-01]\n  [9.20597911e-01 1.44711821e-05 5.00039932e-05 7.93375671e-02]\n  [9.31609631e-01 8.09623634e-06 3.30629191e-05 6.83491379e-02]\n  [9.28173125e-01 9.30628630e-06 4.11973670e-05 7.17763826e-02]\n  [9.20543075e-01 9.70282144e-06 4.52891327e-05 7.94019103e-02]]]\nPredicted mask after argmax for 2008_001414: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001414 has shape: (416, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001414. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001414.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001414: (1, 256, 256, 4)\nSome predicted mask values: [[[9.79363263e-01 3.74380107e-07 8.25446023e-07 2.06355732e-02]\n  [9.89910662e-01 7.19387383e-10 1.29917355e-09 1.00893248e-02]\n  [9.92413700e-01 5.81336472e-11 1.85839705e-10 7.58635113e-03]\n  [9.92474914e-01 2.74289983e-11 1.35606415e-10 7.52512179e-03]\n  [9.93073940e-01 1.04599844e-11 6.56934576e-11 6.92607882e-03]]\n\n [[9.93814886e-01 1.72973608e-10 8.37424685e-10 6.18507992e-03]\n  [9.93250787e-01 4.33907196e-14 2.14704299e-13 6.74920483e-03]\n  [9.90983903e-01 5.09057611e-15 5.83742310e-14 9.01613757e-03]\n  [9.89574492e-01 5.42422323e-15 1.19343053e-13 1.04254782e-02]\n  [9.89726722e-01 2.01486840e-15 7.06539116e-14 1.02732601e-02]]\n\n [[9.97922242e-01 3.14665525e-12 2.61191624e-11 2.07774690e-03]\n  [9.97461200e-01 5.20505134e-16 5.83111880e-15 2.53882655e-03]\n  [9.95941937e-01 9.51244271e-17 4.80171755e-15 4.05805372e-03]\n  [9.92931008e-01 2.18173744e-16 2.32125415e-14 7.06893718e-03]\n  [9.92633045e-01 8.29888206e-17 1.52066622e-14 7.36688497e-03]]\n\n ...\n\n [[9.45495784e-01 1.97639770e-06 8.08357800e-06 5.44940792e-02]\n  [9.40504193e-01 1.84476061e-08 1.14999828e-07 5.94957396e-02]\n  [9.44811285e-01 4.56509675e-09 5.74875578e-08 5.51886670e-02]\n  [9.45341945e-01 4.71805928e-09 7.33462215e-08 5.46578914e-02]\n  [9.46087539e-01 4.34674829e-09 7.22132754e-08 5.39123155e-02]]\n\n [[9.26038265e-01 9.23783136e-06 3.36237790e-05 7.39187822e-02]\n  [9.26725626e-01 1.28197712e-07 6.61683373e-07 7.32736290e-02]\n  [9.38238680e-01 3.47223619e-08 3.19594562e-07 6.17610291e-02]\n  [9.36547697e-01 3.35326575e-08 3.66986825e-07 6.34519905e-02]\n  [9.34587717e-01 3.04669463e-08 3.79766760e-07 6.54119104e-02]]\n\n [[8.83045077e-01 2.45604635e-04 6.96847041e-04 1.16012417e-01]\n  [9.20597911e-01 1.44711821e-05 5.00039932e-05 7.93375671e-02]\n  [9.31609631e-01 8.09623634e-06 3.30629191e-05 6.83491379e-02]\n  [9.28173125e-01 9.30628630e-06 4.11973670e-05 7.17763826e-02]\n  [9.20543075e-01 9.70282144e-06 4.52891327e-05 7.94019103e-02]]]\nPredicted mask after argmax for 2008_001414: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001414 has shape: (416, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001414. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001420.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001420: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78614450e-01 1.93983709e-07 5.08919015e-07 2.13848166e-02]\n  [9.92949605e-01 5.60541440e-11 1.76553272e-10 7.05044391e-03]\n  [9.96595323e-01 8.53312917e-13 4.32677375e-12 3.40461475e-03]\n  [9.97545183e-01 2.00684060e-13 1.23065739e-12 2.45478097e-03]\n  [9.97985840e-01 8.35712115e-14 5.37186018e-13 2.01411010e-03]]\n\n [[9.90765452e-01 1.55007243e-10 9.75564296e-10 9.23459698e-03]\n  [9.93529975e-01 5.82660031e-15 5.39610166e-14 6.47004927e-03]\n  [9.94884551e-01 8.16638493e-17 1.50370858e-15 5.11542987e-03]\n  [9.95401382e-01 3.38223962e-17 9.02269977e-16 4.59862826e-03]\n  [9.95460212e-01 1.51701417e-17 5.18702542e-16 4.53982595e-03]]\n\n [[9.95644391e-01 1.42172975e-11 1.62698743e-10 4.35556332e-03]\n  [9.96426880e-01 4.56463832e-16 1.10557315e-14 3.57308332e-03]\n  [9.96366620e-01 8.89332069e-18 7.12636400e-16 3.63340857e-03]\n  [9.96253610e-01 4.45981955e-18 6.58377958e-16 3.74631537e-03]\n  [9.96175528e-01 1.95846611e-18 4.11079992e-16 3.82445799e-03]]\n\n ...\n\n [[9.37755466e-01 2.32926664e-06 9.32413241e-06 6.22329302e-02]\n  [9.34537351e-01 1.88045703e-08 1.35227225e-07 6.54625297e-02]\n  [9.39993262e-01 4.78659512e-09 5.97782304e-08 6.00066558e-02]\n  [9.41224754e-01 6.03426686e-09 8.91960426e-08 5.87751530e-02]\n  [9.40366805e-01 7.15337212e-09 1.04943346e-07 5.96330799e-02]]\n\n [[9.27643418e-01 5.55659426e-06 2.12717368e-05 7.23297969e-02]\n  [9.30738747e-01 5.98500662e-08 3.63368031e-07 6.92607313e-02]\n  [9.42776203e-01 1.83889739e-08 1.73544407e-07 5.72235622e-02]\n  [9.39336121e-01 2.48968686e-08 2.59450616e-07 6.06636517e-02]\n  [9.33765471e-01 3.15783879e-08 3.54225051e-07 6.62342235e-02]]\n\n [[8.94406855e-01 1.29004286e-04 3.83197563e-04 1.05080940e-01]\n  [9.36900198e-01 5.98277984e-06 2.12973046e-05 6.30724728e-02]\n  [9.45584893e-01 3.90863806e-06 1.55890393e-05 5.43956310e-02]\n  [9.41942751e-01 5.31593196e-06 2.19074973e-05 5.80299981e-02]\n  [9.33477402e-01 6.66434562e-06 2.80738986e-05 6.64878190e-02]]]\nPredicted mask after argmax for 2008_001420: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001420 has shape: (500, 452)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001420. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001420.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001420: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78614450e-01 1.93983709e-07 5.08919015e-07 2.13848166e-02]\n  [9.92949605e-01 5.60541440e-11 1.76553272e-10 7.05044391e-03]\n  [9.96595323e-01 8.53312917e-13 4.32677375e-12 3.40461475e-03]\n  [9.97545183e-01 2.00684060e-13 1.23065739e-12 2.45478097e-03]\n  [9.97985840e-01 8.35712115e-14 5.37186018e-13 2.01411010e-03]]\n\n [[9.90765452e-01 1.55007243e-10 9.75564296e-10 9.23459698e-03]\n  [9.93529975e-01 5.82660031e-15 5.39610166e-14 6.47004927e-03]\n  [9.94884551e-01 8.16638493e-17 1.50370858e-15 5.11542987e-03]\n  [9.95401382e-01 3.38223962e-17 9.02269977e-16 4.59862826e-03]\n  [9.95460212e-01 1.51701417e-17 5.18702542e-16 4.53982595e-03]]\n\n [[9.95644391e-01 1.42172975e-11 1.62698743e-10 4.35556332e-03]\n  [9.96426880e-01 4.56463832e-16 1.10557315e-14 3.57308332e-03]\n  [9.96366620e-01 8.89332069e-18 7.12636400e-16 3.63340857e-03]\n  [9.96253610e-01 4.45981955e-18 6.58377958e-16 3.74631537e-03]\n  [9.96175528e-01 1.95846611e-18 4.11079992e-16 3.82445799e-03]]\n\n ...\n\n [[9.37755466e-01 2.32926664e-06 9.32413241e-06 6.22329302e-02]\n  [9.34537351e-01 1.88045703e-08 1.35227225e-07 6.54625297e-02]\n  [9.39993262e-01 4.78659512e-09 5.97782304e-08 6.00066558e-02]\n  [9.41224754e-01 6.03426686e-09 8.91960426e-08 5.87751530e-02]\n  [9.40366805e-01 7.15337212e-09 1.04943346e-07 5.96330799e-02]]\n\n [[9.27643418e-01 5.55659426e-06 2.12717368e-05 7.23297969e-02]\n  [9.30738747e-01 5.98500662e-08 3.63368031e-07 6.92607313e-02]\n  [9.42776203e-01 1.83889739e-08 1.73544407e-07 5.72235622e-02]\n  [9.39336121e-01 2.48968686e-08 2.59450616e-07 6.06636517e-02]\n  [9.33765471e-01 3.15783879e-08 3.54225051e-07 6.62342235e-02]]\n\n [[8.94406855e-01 1.29004286e-04 3.83197563e-04 1.05080940e-01]\n  [9.36900198e-01 5.98277984e-06 2.12973046e-05 6.30724728e-02]\n  [9.45584893e-01 3.90863806e-06 1.55890393e-05 5.43956310e-02]\n  [9.41942751e-01 5.31593196e-06 2.19074973e-05 5.80299981e-02]\n  [9.33477402e-01 6.66434562e-06 2.80738986e-05 6.64878190e-02]]]\nPredicted mask after argmax for 2008_001420: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001420 has shape: (500, 452)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001420. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001420.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001420: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78614450e-01 1.93983709e-07 5.08919015e-07 2.13848166e-02]\n  [9.92949605e-01 5.60541440e-11 1.76553272e-10 7.05044391e-03]\n  [9.96595323e-01 8.53312917e-13 4.32677375e-12 3.40461475e-03]\n  [9.97545183e-01 2.00684060e-13 1.23065739e-12 2.45478097e-03]\n  [9.97985840e-01 8.35712115e-14 5.37186018e-13 2.01411010e-03]]\n\n [[9.90765452e-01 1.55007243e-10 9.75564296e-10 9.23459698e-03]\n  [9.93529975e-01 5.82660031e-15 5.39610166e-14 6.47004927e-03]\n  [9.94884551e-01 8.16638493e-17 1.50370858e-15 5.11542987e-03]\n  [9.95401382e-01 3.38223962e-17 9.02269977e-16 4.59862826e-03]\n  [9.95460212e-01 1.51701417e-17 5.18702542e-16 4.53982595e-03]]\n\n [[9.95644391e-01 1.42172975e-11 1.62698743e-10 4.35556332e-03]\n  [9.96426880e-01 4.56463832e-16 1.10557315e-14 3.57308332e-03]\n  [9.96366620e-01 8.89332069e-18 7.12636400e-16 3.63340857e-03]\n  [9.96253610e-01 4.45981955e-18 6.58377958e-16 3.74631537e-03]\n  [9.96175528e-01 1.95846611e-18 4.11079992e-16 3.82445799e-03]]\n\n ...\n\n [[9.37755466e-01 2.32926664e-06 9.32413241e-06 6.22329302e-02]\n  [9.34537351e-01 1.88045703e-08 1.35227225e-07 6.54625297e-02]\n  [9.39993262e-01 4.78659512e-09 5.97782304e-08 6.00066558e-02]\n  [9.41224754e-01 6.03426686e-09 8.91960426e-08 5.87751530e-02]\n  [9.40366805e-01 7.15337212e-09 1.04943346e-07 5.96330799e-02]]\n\n [[9.27643418e-01 5.55659426e-06 2.12717368e-05 7.23297969e-02]\n  [9.30738747e-01 5.98500662e-08 3.63368031e-07 6.92607313e-02]\n  [9.42776203e-01 1.83889739e-08 1.73544407e-07 5.72235622e-02]\n  [9.39336121e-01 2.48968686e-08 2.59450616e-07 6.06636517e-02]\n  [9.33765471e-01 3.15783879e-08 3.54225051e-07 6.62342235e-02]]\n\n [[8.94406855e-01 1.29004286e-04 3.83197563e-04 1.05080940e-01]\n  [9.36900198e-01 5.98277984e-06 2.12973046e-05 6.30724728e-02]\n  [9.45584893e-01 3.90863806e-06 1.55890393e-05 5.43956310e-02]\n  [9.41942751e-01 5.31593196e-06 2.19074973e-05 5.80299981e-02]\n  [9.33477402e-01 6.66434562e-06 2.80738986e-05 6.64878190e-02]]]\nPredicted mask after argmax for 2008_001420: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001420 has shape: (500, 452)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001420. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001420.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001420: (1, 256, 256, 4)\nSome predicted mask values: [[[9.78614450e-01 1.93983709e-07 5.08919015e-07 2.13848166e-02]\n  [9.92949605e-01 5.60541440e-11 1.76553272e-10 7.05044391e-03]\n  [9.96595323e-01 8.53312917e-13 4.32677375e-12 3.40461475e-03]\n  [9.97545183e-01 2.00684060e-13 1.23065739e-12 2.45478097e-03]\n  [9.97985840e-01 8.35712115e-14 5.37186018e-13 2.01411010e-03]]\n\n [[9.90765452e-01 1.55007243e-10 9.75564296e-10 9.23459698e-03]\n  [9.93529975e-01 5.82660031e-15 5.39610166e-14 6.47004927e-03]\n  [9.94884551e-01 8.16638493e-17 1.50370858e-15 5.11542987e-03]\n  [9.95401382e-01 3.38223962e-17 9.02269977e-16 4.59862826e-03]\n  [9.95460212e-01 1.51701417e-17 5.18702542e-16 4.53982595e-03]]\n\n [[9.95644391e-01 1.42172975e-11 1.62698743e-10 4.35556332e-03]\n  [9.96426880e-01 4.56463832e-16 1.10557315e-14 3.57308332e-03]\n  [9.96366620e-01 8.89332069e-18 7.12636400e-16 3.63340857e-03]\n  [9.96253610e-01 4.45981955e-18 6.58377958e-16 3.74631537e-03]\n  [9.96175528e-01 1.95846611e-18 4.11079992e-16 3.82445799e-03]]\n\n ...\n\n [[9.37755466e-01 2.32926664e-06 9.32413241e-06 6.22329302e-02]\n  [9.34537351e-01 1.88045703e-08 1.35227225e-07 6.54625297e-02]\n  [9.39993262e-01 4.78659512e-09 5.97782304e-08 6.00066558e-02]\n  [9.41224754e-01 6.03426686e-09 8.91960426e-08 5.87751530e-02]\n  [9.40366805e-01 7.15337212e-09 1.04943346e-07 5.96330799e-02]]\n\n [[9.27643418e-01 5.55659426e-06 2.12717368e-05 7.23297969e-02]\n  [9.30738747e-01 5.98500662e-08 3.63368031e-07 6.92607313e-02]\n  [9.42776203e-01 1.83889739e-08 1.73544407e-07 5.72235622e-02]\n  [9.39336121e-01 2.48968686e-08 2.59450616e-07 6.06636517e-02]\n  [9.33765471e-01 3.15783879e-08 3.54225051e-07 6.62342235e-02]]\n\n [[8.94406855e-01 1.29004286e-04 3.83197563e-04 1.05080940e-01]\n  [9.36900198e-01 5.98277984e-06 2.12973046e-05 6.30724728e-02]\n  [9.45584893e-01 3.90863806e-06 1.55890393e-05 5.43956310e-02]\n  [9.41942751e-01 5.31593196e-06 2.19074973e-05 5.80299981e-02]\n  [9.33477402e-01 6.66434562e-06 2.80738986e-05 6.64878190e-02]]]\nPredicted mask after argmax for 2008_001420: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001420 has shape: (500, 452)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001420. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001430.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001430: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57968593e-01 4.00086856e-06 8.10058827e-06 4.20193635e-02]\n  [9.76859927e-01 1.40640966e-08 3.27784981e-08 2.31400412e-02]\n  [9.82127964e-01 1.74827486e-09 6.53267973e-09 1.78720243e-02]\n  [9.81768847e-01 1.66108838e-09 7.60458541e-09 1.82311833e-02]\n  [9.81251717e-01 1.36686085e-09 7.11459469e-09 1.87482461e-02]]\n\n [[9.83305097e-01 6.79074885e-09 2.88721207e-08 1.66949704e-02]\n  [9.83586848e-01 4.95114670e-12 2.66561113e-11 1.64131429e-02]\n  [9.82854187e-01 6.31789543e-13 7.09400767e-12 1.71458814e-02]\n  [9.80607986e-01 1.04762911e-12 1.69112970e-11 1.93919800e-02]\n  [9.79548991e-01 8.72547314e-13 1.85931496e-11 2.04509795e-02]]\n\n [[9.91755724e-01 5.27569710e-10 3.58840091e-09 8.24425835e-03]\n  [9.90904510e-01 2.66180388e-13 2.90704028e-12 9.09547787e-03]\n  [9.88555014e-01 4.45542278e-14 1.42725144e-12 1.14450296e-02]\n  [9.85086560e-01 9.07250756e-14 4.63135823e-12 1.49134230e-02]\n  [9.84733164e-01 6.44416500e-14 4.32766670e-12 1.52667901e-02]]\n\n ...\n\n [[9.05233026e-01 2.78352745e-05 8.24088784e-05 9.46566612e-02]\n  [8.98596048e-01 6.57985652e-07 3.06876814e-06 1.01400211e-01]\n  [9.04669344e-01 2.41211637e-07 1.71308386e-06 9.53286663e-02]\n  [9.04482484e-01 3.09990895e-07 2.50039670e-06 9.55147594e-02]\n  [9.02156353e-01 3.51372506e-07 2.87832540e-06 9.78404358e-02]]\n\n [[8.95199180e-01 5.42906128e-05 1.52690322e-04 1.04593828e-01]\n  [8.96650255e-01 1.58022237e-06 6.24737368e-06 1.03341915e-01]\n  [9.08498466e-01 6.85991552e-07 3.88194712e-06 9.14970040e-02]\n  [9.04013515e-01 8.88039494e-07 5.49042034e-06 9.59801674e-02]\n  [8.95730734e-01 1.01363275e-06 6.58931140e-06 1.04261622e-01]]\n\n [[8.56658399e-01 6.24026521e-04 1.46456657e-03 1.41253024e-01]\n  [9.04376864e-01 5.32184276e-05 1.46294362e-04 9.54235569e-02]\n  [9.14578617e-01 3.88848202e-05 1.14710776e-04 8.52678567e-02]\n  [9.09806728e-01 5.14697567e-05 1.57243368e-04 8.99844691e-02]\n  [9.02028680e-01 5.95626516e-05 1.84258955e-04 9.77274030e-02]]]\nPredicted mask after argmax for 2008_001430: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001430 has shape: (386, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001430. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001430.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001430: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57968593e-01 4.00086856e-06 8.10058827e-06 4.20193635e-02]\n  [9.76859927e-01 1.40640966e-08 3.27784981e-08 2.31400412e-02]\n  [9.82127964e-01 1.74827486e-09 6.53267973e-09 1.78720243e-02]\n  [9.81768847e-01 1.66108838e-09 7.60458541e-09 1.82311833e-02]\n  [9.81251717e-01 1.36686085e-09 7.11459469e-09 1.87482461e-02]]\n\n [[9.83305097e-01 6.79074885e-09 2.88721207e-08 1.66949704e-02]\n  [9.83586848e-01 4.95114670e-12 2.66561113e-11 1.64131429e-02]\n  [9.82854187e-01 6.31789543e-13 7.09400767e-12 1.71458814e-02]\n  [9.80607986e-01 1.04762911e-12 1.69112970e-11 1.93919800e-02]\n  [9.79548991e-01 8.72547314e-13 1.85931496e-11 2.04509795e-02]]\n\n [[9.91755724e-01 5.27569710e-10 3.58840091e-09 8.24425835e-03]\n  [9.90904510e-01 2.66180388e-13 2.90704028e-12 9.09547787e-03]\n  [9.88555014e-01 4.45542278e-14 1.42725144e-12 1.14450296e-02]\n  [9.85086560e-01 9.07250756e-14 4.63135823e-12 1.49134230e-02]\n  [9.84733164e-01 6.44416500e-14 4.32766670e-12 1.52667901e-02]]\n\n ...\n\n [[9.05233026e-01 2.78352745e-05 8.24088784e-05 9.46566612e-02]\n  [8.98596048e-01 6.57985652e-07 3.06876814e-06 1.01400211e-01]\n  [9.04669344e-01 2.41211637e-07 1.71308386e-06 9.53286663e-02]\n  [9.04482484e-01 3.09990895e-07 2.50039670e-06 9.55147594e-02]\n  [9.02156353e-01 3.51372506e-07 2.87832540e-06 9.78404358e-02]]\n\n [[8.95199180e-01 5.42906128e-05 1.52690322e-04 1.04593828e-01]\n  [8.96650255e-01 1.58022237e-06 6.24737368e-06 1.03341915e-01]\n  [9.08498466e-01 6.85991552e-07 3.88194712e-06 9.14970040e-02]\n  [9.04013515e-01 8.88039494e-07 5.49042034e-06 9.59801674e-02]\n  [8.95730734e-01 1.01363275e-06 6.58931140e-06 1.04261622e-01]]\n\n [[8.56658399e-01 6.24026521e-04 1.46456657e-03 1.41253024e-01]\n  [9.04376864e-01 5.32184276e-05 1.46294362e-04 9.54235569e-02]\n  [9.14578617e-01 3.88848202e-05 1.14710776e-04 8.52678567e-02]\n  [9.09806728e-01 5.14697567e-05 1.57243368e-04 8.99844691e-02]\n  [9.02028680e-01 5.95626516e-05 1.84258955e-04 9.77274030e-02]]]\nPredicted mask after argmax for 2008_001430: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001430 has shape: (386, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001430. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001430.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001430: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57968593e-01 4.00086856e-06 8.10058827e-06 4.20193635e-02]\n  [9.76859927e-01 1.40640966e-08 3.27784981e-08 2.31400412e-02]\n  [9.82127964e-01 1.74827486e-09 6.53267973e-09 1.78720243e-02]\n  [9.81768847e-01 1.66108838e-09 7.60458541e-09 1.82311833e-02]\n  [9.81251717e-01 1.36686085e-09 7.11459469e-09 1.87482461e-02]]\n\n [[9.83305097e-01 6.79074885e-09 2.88721207e-08 1.66949704e-02]\n  [9.83586848e-01 4.95114670e-12 2.66561113e-11 1.64131429e-02]\n  [9.82854187e-01 6.31789543e-13 7.09400767e-12 1.71458814e-02]\n  [9.80607986e-01 1.04762911e-12 1.69112970e-11 1.93919800e-02]\n  [9.79548991e-01 8.72547314e-13 1.85931496e-11 2.04509795e-02]]\n\n [[9.91755724e-01 5.27569710e-10 3.58840091e-09 8.24425835e-03]\n  [9.90904510e-01 2.66180388e-13 2.90704028e-12 9.09547787e-03]\n  [9.88555014e-01 4.45542278e-14 1.42725144e-12 1.14450296e-02]\n  [9.85086560e-01 9.07250756e-14 4.63135823e-12 1.49134230e-02]\n  [9.84733164e-01 6.44416500e-14 4.32766670e-12 1.52667901e-02]]\n\n ...\n\n [[9.05233026e-01 2.78352745e-05 8.24088784e-05 9.46566612e-02]\n  [8.98596048e-01 6.57985652e-07 3.06876814e-06 1.01400211e-01]\n  [9.04669344e-01 2.41211637e-07 1.71308386e-06 9.53286663e-02]\n  [9.04482484e-01 3.09990895e-07 2.50039670e-06 9.55147594e-02]\n  [9.02156353e-01 3.51372506e-07 2.87832540e-06 9.78404358e-02]]\n\n [[8.95199180e-01 5.42906128e-05 1.52690322e-04 1.04593828e-01]\n  [8.96650255e-01 1.58022237e-06 6.24737368e-06 1.03341915e-01]\n  [9.08498466e-01 6.85991552e-07 3.88194712e-06 9.14970040e-02]\n  [9.04013515e-01 8.88039494e-07 5.49042034e-06 9.59801674e-02]\n  [8.95730734e-01 1.01363275e-06 6.58931140e-06 1.04261622e-01]]\n\n [[8.56658399e-01 6.24026521e-04 1.46456657e-03 1.41253024e-01]\n  [9.04376864e-01 5.32184276e-05 1.46294362e-04 9.54235569e-02]\n  [9.14578617e-01 3.88848202e-05 1.14710776e-04 8.52678567e-02]\n  [9.09806728e-01 5.14697567e-05 1.57243368e-04 8.99844691e-02]\n  [9.02028680e-01 5.95626516e-05 1.84258955e-04 9.77274030e-02]]]\nPredicted mask after argmax for 2008_001430: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001430 has shape: (386, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001430. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001433.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001433: (1, 256, 256, 4)\nSome predicted mask values: [[[9.2588198e-01 4.8857270e-05 8.4803818e-05 7.3984392e-02]\n  [9.5072997e-01 6.4094996e-07 1.2634162e-06 4.9268067e-02]\n  [9.5780671e-01 1.4552286e-07 4.2711787e-07 4.2192787e-02]\n  [9.5651031e-01 1.4810882e-07 5.1861076e-07 4.3488976e-02]\n  [9.5519030e-01 1.2919241e-07 5.0187685e-07 4.4809178e-02]]\n\n [[9.6614468e-01 2.5912229e-07 8.2660944e-07 3.3854291e-02]\n  [9.6488625e-01 9.3361474e-10 3.6234677e-09 3.5113759e-02]\n  [9.6285683e-01 2.1055906e-10 1.5329743e-09 3.7143216e-02]\n  [9.5842940e-01 3.4165354e-10 3.3884238e-09 4.1570641e-02]\n  [9.5687747e-01 2.9672131e-10 3.6982488e-09 4.3122537e-02]]\n\n [[9.8101914e-01 2.8211410e-08 1.3142008e-07 1.8980756e-02]\n  [9.7851092e-01 7.1011461e-11 4.8060517e-10 2.1489030e-02]\n  [9.7377795e-01 1.9665079e-11 3.2514341e-10 2.6222028e-02]\n  [9.6784848e-01 3.4903993e-11 8.3783408e-10 3.2151505e-02]\n  [9.6708560e-01 2.7334012e-11 8.2315921e-10 3.2914367e-02]]\n\n ...\n\n [[8.7811029e-01 1.4396454e-04 3.5520672e-04 1.2139059e-01]\n  [8.6748153e-01 8.1247390e-06 2.7457028e-05 1.3248277e-01]\n  [8.6882484e-01 5.2072642e-06 2.4407060e-05 1.3114554e-01]\n  [8.6201388e-01 8.5931952e-06 4.2733536e-05 1.3793471e-01]\n  [8.5533226e-01 1.1787164e-05 5.8009773e-05 1.4459793e-01]]\n\n [[8.6133295e-01 2.7991788e-04 6.5751071e-04 1.3772954e-01]\n  [8.6022896e-01 1.8563027e-05 5.6596411e-05 1.3969587e-01]\n  [8.6848754e-01 1.2527770e-05 5.0337112e-05 1.3144965e-01]\n  [8.5970312e-01 1.9092773e-05 8.0146434e-05 1.4019769e-01]\n  [8.4779215e-01 2.4848026e-05 1.0634648e-04 1.5207666e-01]]\n\n [[8.1412935e-01 2.2434443e-03 4.5346627e-03 1.7909251e-01]\n  [8.5704756e-01 3.6967240e-04 8.3482650e-04 1.4174801e-01]\n  [8.6487365e-01 3.4489000e-04 8.2219066e-04 1.3395928e-01]\n  [8.5397929e-01 4.8086798e-04 1.1625336e-03 1.4437716e-01]\n  [8.4083349e-01 5.8551278e-04 1.4099135e-03 1.5717110e-01]]]\nPredicted mask after argmax for 2008_001433: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001433 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001433. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001433.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001433: (1, 256, 256, 4)\nSome predicted mask values: [[[9.2588198e-01 4.8857270e-05 8.4803818e-05 7.3984392e-02]\n  [9.5072997e-01 6.4094996e-07 1.2634162e-06 4.9268067e-02]\n  [9.5780671e-01 1.4552286e-07 4.2711787e-07 4.2192787e-02]\n  [9.5651031e-01 1.4810882e-07 5.1861076e-07 4.3488976e-02]\n  [9.5519030e-01 1.2919241e-07 5.0187685e-07 4.4809178e-02]]\n\n [[9.6614468e-01 2.5912229e-07 8.2660944e-07 3.3854291e-02]\n  [9.6488625e-01 9.3361474e-10 3.6234677e-09 3.5113759e-02]\n  [9.6285683e-01 2.1055906e-10 1.5329743e-09 3.7143216e-02]\n  [9.5842940e-01 3.4165354e-10 3.3884238e-09 4.1570641e-02]\n  [9.5687747e-01 2.9672131e-10 3.6982488e-09 4.3122537e-02]]\n\n [[9.8101914e-01 2.8211410e-08 1.3142008e-07 1.8980756e-02]\n  [9.7851092e-01 7.1011461e-11 4.8060517e-10 2.1489030e-02]\n  [9.7377795e-01 1.9665079e-11 3.2514341e-10 2.6222028e-02]\n  [9.6784848e-01 3.4903993e-11 8.3783408e-10 3.2151505e-02]\n  [9.6708560e-01 2.7334012e-11 8.2315921e-10 3.2914367e-02]]\n\n ...\n\n [[8.7811029e-01 1.4396454e-04 3.5520672e-04 1.2139059e-01]\n  [8.6748153e-01 8.1247390e-06 2.7457028e-05 1.3248277e-01]\n  [8.6882484e-01 5.2072642e-06 2.4407060e-05 1.3114554e-01]\n  [8.6201388e-01 8.5931952e-06 4.2733536e-05 1.3793471e-01]\n  [8.5533226e-01 1.1787164e-05 5.8009773e-05 1.4459793e-01]]\n\n [[8.6133295e-01 2.7991788e-04 6.5751071e-04 1.3772954e-01]\n  [8.6022896e-01 1.8563027e-05 5.6596411e-05 1.3969587e-01]\n  [8.6848754e-01 1.2527770e-05 5.0337112e-05 1.3144965e-01]\n  [8.5970312e-01 1.9092773e-05 8.0146434e-05 1.4019769e-01]\n  [8.4779215e-01 2.4848026e-05 1.0634648e-04 1.5207666e-01]]\n\n [[8.1412935e-01 2.2434443e-03 4.5346627e-03 1.7909251e-01]\n  [8.5704756e-01 3.6967240e-04 8.3482650e-04 1.4174801e-01]\n  [8.6487365e-01 3.4489000e-04 8.2219066e-04 1.3395928e-01]\n  [8.5397929e-01 4.8086798e-04 1.1625336e-03 1.4437716e-01]\n  [8.4083349e-01 5.8551278e-04 1.4099135e-03 1.5717110e-01]]]\nPredicted mask after argmax for 2008_001433: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001433 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001433. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001433.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001433: (1, 256, 256, 4)\nSome predicted mask values: [[[9.2588198e-01 4.8857270e-05 8.4803818e-05 7.3984392e-02]\n  [9.5072997e-01 6.4094996e-07 1.2634162e-06 4.9268067e-02]\n  [9.5780671e-01 1.4552286e-07 4.2711787e-07 4.2192787e-02]\n  [9.5651031e-01 1.4810882e-07 5.1861076e-07 4.3488976e-02]\n  [9.5519030e-01 1.2919241e-07 5.0187685e-07 4.4809178e-02]]\n\n [[9.6614468e-01 2.5912229e-07 8.2660944e-07 3.3854291e-02]\n  [9.6488625e-01 9.3361474e-10 3.6234677e-09 3.5113759e-02]\n  [9.6285683e-01 2.1055906e-10 1.5329743e-09 3.7143216e-02]\n  [9.5842940e-01 3.4165354e-10 3.3884238e-09 4.1570641e-02]\n  [9.5687747e-01 2.9672131e-10 3.6982488e-09 4.3122537e-02]]\n\n [[9.8101914e-01 2.8211410e-08 1.3142008e-07 1.8980756e-02]\n  [9.7851092e-01 7.1011461e-11 4.8060517e-10 2.1489030e-02]\n  [9.7377795e-01 1.9665079e-11 3.2514341e-10 2.6222028e-02]\n  [9.6784848e-01 3.4903993e-11 8.3783408e-10 3.2151505e-02]\n  [9.6708560e-01 2.7334012e-11 8.2315921e-10 3.2914367e-02]]\n\n ...\n\n [[8.7811029e-01 1.4396454e-04 3.5520672e-04 1.2139059e-01]\n  [8.6748153e-01 8.1247390e-06 2.7457028e-05 1.3248277e-01]\n  [8.6882484e-01 5.2072642e-06 2.4407060e-05 1.3114554e-01]\n  [8.6201388e-01 8.5931952e-06 4.2733536e-05 1.3793471e-01]\n  [8.5533226e-01 1.1787164e-05 5.8009773e-05 1.4459793e-01]]\n\n [[8.6133295e-01 2.7991788e-04 6.5751071e-04 1.3772954e-01]\n  [8.6022896e-01 1.8563027e-05 5.6596411e-05 1.3969587e-01]\n  [8.6848754e-01 1.2527770e-05 5.0337112e-05 1.3144965e-01]\n  [8.5970312e-01 1.9092773e-05 8.0146434e-05 1.4019769e-01]\n  [8.4779215e-01 2.4848026e-05 1.0634648e-04 1.5207666e-01]]\n\n [[8.1412935e-01 2.2434443e-03 4.5346627e-03 1.7909251e-01]\n  [8.5704756e-01 3.6967240e-04 8.3482650e-04 1.4174801e-01]\n  [8.6487365e-01 3.4489000e-04 8.2219066e-04 1.3395928e-01]\n  [8.5397929e-01 4.8086798e-04 1.1625336e-03 1.4437716e-01]\n  [8.4083349e-01 5.8551278e-04 1.4099135e-03 1.5717110e-01]]]\nPredicted mask after argmax for 2008_001433: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001433 has shape: (400, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001433. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001436.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001436: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81180072e-01 2.29961302e-07 5.35558911e-07 1.88190583e-02]\n  [9.91918266e-01 2.43995407e-10 4.88534879e-10 8.08172207e-03]\n  [9.94564891e-01 1.29096464e-11 4.41496596e-11 5.43505093e-03]\n  [9.94844675e-01 5.67650441e-12 2.82775331e-11 5.15530491e-03]\n  [9.95225072e-01 2.51483578e-12 1.52334603e-11 4.77495044e-03]]\n\n [[9.94166136e-01 9.86048257e-11 5.06029663e-10 5.83386747e-03]\n  [9.94481385e-01 1.24767377e-14 7.02806208e-14 5.51854540e-03]\n  [9.93301153e-01 9.00448645e-16 1.11521544e-14 6.69886358e-03]\n  [9.92354691e-01 9.11136189e-16 2.05761820e-14 7.64532015e-03]\n  [9.92168009e-01 4.38508586e-16 1.47750922e-14 7.83196837e-03]]\n\n [[9.97957230e-01 2.34839145e-12 2.08388862e-11 2.04277458e-03]\n  [9.97806489e-01 2.20830608e-16 2.86914348e-15 2.19353545e-03]\n  [9.96618152e-01 2.81931542e-17 1.51995690e-15 3.38186231e-03]\n  [9.94291306e-01 6.29389618e-17 6.79332240e-15 5.70869399e-03]\n  [9.93766069e-01 3.33370430e-17 5.84465990e-15 6.23395899e-03]]\n\n ...\n\n [[9.34606552e-01 1.55818338e-06 6.59202988e-06 6.53853118e-02]\n  [9.56845284e-01 3.12627391e-09 2.97699128e-08 4.31547686e-02]\n  [9.59882736e-01 5.05317954e-10 7.96541944e-09 4.01173159e-02]\n  [9.62437630e-01 5.13007969e-10 9.49008250e-09 3.75624113e-02]\n  [9.59767640e-01 8.26935354e-10 1.48487889e-08 4.02324200e-02]]\n\n [[9.24546778e-01 3.33398270e-06 1.34498605e-05 7.54364207e-02]\n  [9.51133788e-01 8.25705371e-09 6.51600445e-08 4.88661304e-02]\n  [9.58486438e-01 1.28319022e-09 1.68065935e-08 4.15135659e-02]\n  [9.58788335e-01 1.16046051e-09 1.70342176e-08 4.12115939e-02]\n  [9.54990864e-01 1.65327252e-09 2.50106993e-08 4.50091921e-02]]\n\n [[8.87129068e-01 1.07070038e-04 3.33050324e-04 1.12430900e-01]\n  [9.38043535e-01 2.27904229e-06 8.75652313e-06 6.19454682e-02]\n  [9.50023532e-01 8.08862126e-07 3.86121792e-06 4.99718077e-02]\n  [9.49343383e-01 9.15374471e-07 4.59367811e-06 5.06511070e-02]\n  [9.43331003e-01 1.25102326e-06 6.29105307e-06 5.66614643e-02]]]\nPredicted mask after argmax for 2008_001436: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001436 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001436. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001436.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001436: (1, 256, 256, 4)\nSome predicted mask values: [[[9.81180072e-01 2.29961302e-07 5.35558911e-07 1.88190583e-02]\n  [9.91918266e-01 2.43995407e-10 4.88534879e-10 8.08172207e-03]\n  [9.94564891e-01 1.29096464e-11 4.41496596e-11 5.43505093e-03]\n  [9.94844675e-01 5.67650441e-12 2.82775331e-11 5.15530491e-03]\n  [9.95225072e-01 2.51483578e-12 1.52334603e-11 4.77495044e-03]]\n\n [[9.94166136e-01 9.86048257e-11 5.06029663e-10 5.83386747e-03]\n  [9.94481385e-01 1.24767377e-14 7.02806208e-14 5.51854540e-03]\n  [9.93301153e-01 9.00448645e-16 1.11521544e-14 6.69886358e-03]\n  [9.92354691e-01 9.11136189e-16 2.05761820e-14 7.64532015e-03]\n  [9.92168009e-01 4.38508586e-16 1.47750922e-14 7.83196837e-03]]\n\n [[9.97957230e-01 2.34839145e-12 2.08388862e-11 2.04277458e-03]\n  [9.97806489e-01 2.20830608e-16 2.86914348e-15 2.19353545e-03]\n  [9.96618152e-01 2.81931542e-17 1.51995690e-15 3.38186231e-03]\n  [9.94291306e-01 6.29389618e-17 6.79332240e-15 5.70869399e-03]\n  [9.93766069e-01 3.33370430e-17 5.84465990e-15 6.23395899e-03]]\n\n ...\n\n [[9.34606552e-01 1.55818338e-06 6.59202988e-06 6.53853118e-02]\n  [9.56845284e-01 3.12627391e-09 2.97699128e-08 4.31547686e-02]\n  [9.59882736e-01 5.05317954e-10 7.96541944e-09 4.01173159e-02]\n  [9.62437630e-01 5.13007969e-10 9.49008250e-09 3.75624113e-02]\n  [9.59767640e-01 8.26935354e-10 1.48487889e-08 4.02324200e-02]]\n\n [[9.24546778e-01 3.33398270e-06 1.34498605e-05 7.54364207e-02]\n  [9.51133788e-01 8.25705371e-09 6.51600445e-08 4.88661304e-02]\n  [9.58486438e-01 1.28319022e-09 1.68065935e-08 4.15135659e-02]\n  [9.58788335e-01 1.16046051e-09 1.70342176e-08 4.12115939e-02]\n  [9.54990864e-01 1.65327252e-09 2.50106993e-08 4.50091921e-02]]\n\n [[8.87129068e-01 1.07070038e-04 3.33050324e-04 1.12430900e-01]\n  [9.38043535e-01 2.27904229e-06 8.75652313e-06 6.19454682e-02]\n  [9.50023532e-01 8.08862126e-07 3.86121792e-06 4.99718077e-02]\n  [9.49343383e-01 9.15374471e-07 4.59367811e-06 5.06511070e-02]\n  [9.43331003e-01 1.25102326e-06 6.29105307e-06 5.66614643e-02]]]\nPredicted mask after argmax for 2008_001436: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001436 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001436. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001456.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001456: (1, 256, 256, 4)\nSome predicted mask values: [[[9.10635471e-01 1.22676647e-04 1.99947841e-04 8.90419483e-02]\n  [9.37315762e-01 2.56395856e-06 4.49456911e-06 6.26771301e-02]\n  [9.45323408e-01 6.40082476e-07 1.65533402e-06 5.46742417e-02]\n  [9.44118798e-01 5.81117320e-07 1.81748976e-06 5.58788702e-02]\n  [9.43415999e-01 4.56991188e-07 1.59154285e-06 5.65819293e-02]]\n\n [[9.57361162e-01 9.92724836e-07 2.80705694e-06 4.26349454e-02]\n  [9.55800295e-01 6.03740702e-09 1.99699635e-08 4.41996865e-02]\n  [9.52376008e-01 1.54737678e-09 9.26513799e-09 4.76239994e-02]\n  [9.47421491e-01 2.08852513e-09 1.72071317e-08 5.25785387e-02]\n  [9.46412563e-01 1.59008917e-09 1.64710201e-08 5.35875037e-02]]\n\n [[9.75134969e-01 1.20357328e-07 4.73624283e-07 2.48645227e-02]\n  [9.71786737e-01 5.42582146e-10 2.90586377e-09 2.82132458e-02]\n  [9.65727031e-01 1.69181377e-10 2.14600915e-09 3.42730135e-02]\n  [9.57721710e-01 2.59116284e-10 4.75660800e-09 4.22782674e-02]\n  [9.57874596e-01 1.69963293e-10 3.99414946e-09 4.21253368e-02]]\n\n ...\n\n [[9.38519895e-01 1.36269819e-06 5.92264541e-06 6.14728369e-02]\n  [9.39572871e-01 4.94940577e-09 4.91901986e-08 6.04271218e-02]\n  [9.53728020e-01 3.63537700e-10 7.07267533e-09 4.62720022e-02]\n  [9.61152136e-01 1.75859216e-10 4.39136816e-09 3.88478823e-02]\n  [9.66071010e-01 6.88862856e-11 2.03774131e-09 3.39290015e-02]]\n\n [[9.31843698e-01 2.87902549e-06 1.18551079e-05 6.81414977e-02]\n  [9.39046025e-01 1.46055505e-08 1.12428047e-07 6.09539114e-02]\n  [9.54518914e-01 1.58561453e-09 2.11470930e-08 4.54811044e-02]\n  [9.58077967e-01 8.89256224e-10 1.50791770e-08 4.19220589e-02]\n  [9.61895943e-01 3.97935296e-10 8.58437321e-09 3.81040797e-02]]\n\n [[9.04505968e-01 6.68231223e-05 2.15261141e-04 9.52120200e-02]\n  [9.49617982e-01 1.68450561e-06 6.89185299e-06 5.03734648e-02]\n  [9.62726235e-01 5.33606737e-07 2.64923597e-06 3.72705683e-02]\n  [9.63925600e-01 4.42352956e-07 2.45292131e-06 3.60715203e-02]\n  [9.63776886e-01 3.07870295e-07 1.90384787e-06 3.62208225e-02]]]\nPredicted mask after argmax for 2008_001456: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001456 has shape: (177, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001456. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001456.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001456: (1, 256, 256, 4)\nSome predicted mask values: [[[9.10635471e-01 1.22676647e-04 1.99947841e-04 8.90419483e-02]\n  [9.37315762e-01 2.56395856e-06 4.49456911e-06 6.26771301e-02]\n  [9.45323408e-01 6.40082476e-07 1.65533402e-06 5.46742417e-02]\n  [9.44118798e-01 5.81117320e-07 1.81748976e-06 5.58788702e-02]\n  [9.43415999e-01 4.56991188e-07 1.59154285e-06 5.65819293e-02]]\n\n [[9.57361162e-01 9.92724836e-07 2.80705694e-06 4.26349454e-02]\n  [9.55800295e-01 6.03740702e-09 1.99699635e-08 4.41996865e-02]\n  [9.52376008e-01 1.54737678e-09 9.26513799e-09 4.76239994e-02]\n  [9.47421491e-01 2.08852513e-09 1.72071317e-08 5.25785387e-02]\n  [9.46412563e-01 1.59008917e-09 1.64710201e-08 5.35875037e-02]]\n\n [[9.75134969e-01 1.20357328e-07 4.73624283e-07 2.48645227e-02]\n  [9.71786737e-01 5.42582146e-10 2.90586377e-09 2.82132458e-02]\n  [9.65727031e-01 1.69181377e-10 2.14600915e-09 3.42730135e-02]\n  [9.57721710e-01 2.59116284e-10 4.75660800e-09 4.22782674e-02]\n  [9.57874596e-01 1.69963293e-10 3.99414946e-09 4.21253368e-02]]\n\n ...\n\n [[9.38519895e-01 1.36269819e-06 5.92264541e-06 6.14728369e-02]\n  [9.39572871e-01 4.94940577e-09 4.91901986e-08 6.04271218e-02]\n  [9.53728020e-01 3.63537700e-10 7.07267533e-09 4.62720022e-02]\n  [9.61152136e-01 1.75859216e-10 4.39136816e-09 3.88478823e-02]\n  [9.66071010e-01 6.88862856e-11 2.03774131e-09 3.39290015e-02]]\n\n [[9.31843698e-01 2.87902549e-06 1.18551079e-05 6.81414977e-02]\n  [9.39046025e-01 1.46055505e-08 1.12428047e-07 6.09539114e-02]\n  [9.54518914e-01 1.58561453e-09 2.11470930e-08 4.54811044e-02]\n  [9.58077967e-01 8.89256224e-10 1.50791770e-08 4.19220589e-02]\n  [9.61895943e-01 3.97935296e-10 8.58437321e-09 3.81040797e-02]]\n\n [[9.04505968e-01 6.68231223e-05 2.15261141e-04 9.52120200e-02]\n  [9.49617982e-01 1.68450561e-06 6.89185299e-06 5.03734648e-02]\n  [9.62726235e-01 5.33606737e-07 2.64923597e-06 3.72705683e-02]\n  [9.63925600e-01 4.42352956e-07 2.45292131e-06 3.60715203e-02]\n  [9.63776886e-01 3.07870295e-07 1.90384787e-06 3.62208225e-02]]]\nPredicted mask after argmax for 2008_001456: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001456 has shape: (177, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001456. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001456.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001456: (1, 256, 256, 4)\nSome predicted mask values: [[[9.10635471e-01 1.22676647e-04 1.99947841e-04 8.90419483e-02]\n  [9.37315762e-01 2.56395856e-06 4.49456911e-06 6.26771301e-02]\n  [9.45323408e-01 6.40082476e-07 1.65533402e-06 5.46742417e-02]\n  [9.44118798e-01 5.81117320e-07 1.81748976e-06 5.58788702e-02]\n  [9.43415999e-01 4.56991188e-07 1.59154285e-06 5.65819293e-02]]\n\n [[9.57361162e-01 9.92724836e-07 2.80705694e-06 4.26349454e-02]\n  [9.55800295e-01 6.03740702e-09 1.99699635e-08 4.41996865e-02]\n  [9.52376008e-01 1.54737678e-09 9.26513799e-09 4.76239994e-02]\n  [9.47421491e-01 2.08852513e-09 1.72071317e-08 5.25785387e-02]\n  [9.46412563e-01 1.59008917e-09 1.64710201e-08 5.35875037e-02]]\n\n [[9.75134969e-01 1.20357328e-07 4.73624283e-07 2.48645227e-02]\n  [9.71786737e-01 5.42582146e-10 2.90586377e-09 2.82132458e-02]\n  [9.65727031e-01 1.69181377e-10 2.14600915e-09 3.42730135e-02]\n  [9.57721710e-01 2.59116284e-10 4.75660800e-09 4.22782674e-02]\n  [9.57874596e-01 1.69963293e-10 3.99414946e-09 4.21253368e-02]]\n\n ...\n\n [[9.38519895e-01 1.36269819e-06 5.92264541e-06 6.14728369e-02]\n  [9.39572871e-01 4.94940577e-09 4.91901986e-08 6.04271218e-02]\n  [9.53728020e-01 3.63537700e-10 7.07267533e-09 4.62720022e-02]\n  [9.61152136e-01 1.75859216e-10 4.39136816e-09 3.88478823e-02]\n  [9.66071010e-01 6.88862856e-11 2.03774131e-09 3.39290015e-02]]\n\n [[9.31843698e-01 2.87902549e-06 1.18551079e-05 6.81414977e-02]\n  [9.39046025e-01 1.46055505e-08 1.12428047e-07 6.09539114e-02]\n  [9.54518914e-01 1.58561453e-09 2.11470930e-08 4.54811044e-02]\n  [9.58077967e-01 8.89256224e-10 1.50791770e-08 4.19220589e-02]\n  [9.61895943e-01 3.97935296e-10 8.58437321e-09 3.81040797e-02]]\n\n [[9.04505968e-01 6.68231223e-05 2.15261141e-04 9.52120200e-02]\n  [9.49617982e-01 1.68450561e-06 6.89185299e-06 5.03734648e-02]\n  [9.62726235e-01 5.33606737e-07 2.64923597e-06 3.72705683e-02]\n  [9.63925600e-01 4.42352956e-07 2.45292131e-06 3.60715203e-02]\n  [9.63776886e-01 3.07870295e-07 1.90384787e-06 3.62208225e-02]]]\nPredicted mask after argmax for 2008_001456: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001456 has shape: (177, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001456. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001456.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\nPredicted mask shape for 2008_001456: (1, 256, 256, 4)\nSome predicted mask values: [[[9.10635471e-01 1.22676647e-04 1.99947841e-04 8.90419483e-02]\n  [9.37315762e-01 2.56395856e-06 4.49456911e-06 6.26771301e-02]\n  [9.45323408e-01 6.40082476e-07 1.65533402e-06 5.46742417e-02]\n  [9.44118798e-01 5.81117320e-07 1.81748976e-06 5.58788702e-02]\n  [9.43415999e-01 4.56991188e-07 1.59154285e-06 5.65819293e-02]]\n\n [[9.57361162e-01 9.92724836e-07 2.80705694e-06 4.26349454e-02]\n  [9.55800295e-01 6.03740702e-09 1.99699635e-08 4.41996865e-02]\n  [9.52376008e-01 1.54737678e-09 9.26513799e-09 4.76239994e-02]\n  [9.47421491e-01 2.08852513e-09 1.72071317e-08 5.25785387e-02]\n  [9.46412563e-01 1.59008917e-09 1.64710201e-08 5.35875037e-02]]\n\n [[9.75134969e-01 1.20357328e-07 4.73624283e-07 2.48645227e-02]\n  [9.71786737e-01 5.42582146e-10 2.90586377e-09 2.82132458e-02]\n  [9.65727031e-01 1.69181377e-10 2.14600915e-09 3.42730135e-02]\n  [9.57721710e-01 2.59116284e-10 4.75660800e-09 4.22782674e-02]\n  [9.57874596e-01 1.69963293e-10 3.99414946e-09 4.21253368e-02]]\n\n ...\n\n [[9.38519895e-01 1.36269819e-06 5.92264541e-06 6.14728369e-02]\n  [9.39572871e-01 4.94940577e-09 4.91901986e-08 6.04271218e-02]\n  [9.53728020e-01 3.63537700e-10 7.07267533e-09 4.62720022e-02]\n  [9.61152136e-01 1.75859216e-10 4.39136816e-09 3.88478823e-02]\n  [9.66071010e-01 6.88862856e-11 2.03774131e-09 3.39290015e-02]]\n\n [[9.31843698e-01 2.87902549e-06 1.18551079e-05 6.81414977e-02]\n  [9.39046025e-01 1.46055505e-08 1.12428047e-07 6.09539114e-02]\n  [9.54518914e-01 1.58561453e-09 2.11470930e-08 4.54811044e-02]\n  [9.58077967e-01 8.89256224e-10 1.50791770e-08 4.19220589e-02]\n  [9.61895943e-01 3.97935296e-10 8.58437321e-09 3.81040797e-02]]\n\n [[9.04505968e-01 6.68231223e-05 2.15261141e-04 9.52120200e-02]\n  [9.49617982e-01 1.68450561e-06 6.89185299e-06 5.03734648e-02]\n  [9.62726235e-01 5.33606737e-07 2.64923597e-06 3.72705683e-02]\n  [9.63925600e-01 4.42352956e-07 2.45292131e-06 3.60715203e-02]\n  [9.63776886e-01 3.07870295e-07 1.90384787e-06 3.62208225e-02]]]\nPredicted mask after argmax for 2008_001456: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001456 has shape: (177, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001456. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001461.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001461: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57263231e-01 4.78039465e-06 9.57278098e-06 4.27224040e-02]\n  [9.76192534e-01 1.99751877e-08 4.33579714e-08 2.38074977e-02]\n  [9.81680870e-01 2.61366773e-09 8.93165719e-09 1.83192026e-02]\n  [9.81336534e-01 2.39545117e-09 1.01058495e-08 1.86634120e-02]\n  [9.80875850e-01 1.93458516e-09 9.28688504e-09 1.91241335e-02]]\n\n [[9.82619643e-01 9.46101153e-09 3.85539991e-08 1.73803885e-02]\n  [9.82692540e-01 8.60942394e-12 4.24746557e-11 1.73075311e-02]\n  [9.81393933e-01 1.27768813e-12 1.25098924e-11 1.86060779e-02]\n  [9.78749096e-01 2.14328728e-12 3.02280943e-11 2.12508626e-02]\n  [9.77408111e-01 1.80683756e-12 3.36686096e-11 2.25919485e-02]]\n\n [[9.91464078e-01 7.26795124e-10 4.69215022e-09 8.53587594e-03]\n  [9.90474045e-01 4.77687280e-13 4.72438408e-12 9.52591281e-03]\n  [9.87577856e-01 9.89381306e-14 2.78162562e-12 1.24221472e-02]\n  [9.82962906e-01 2.30492735e-13 1.02543165e-11 1.70371216e-02]\n  [9.82334375e-01 1.68906230e-13 9.89444377e-12 1.76656693e-02]]\n\n ...\n\n [[9.36191976e-01 5.56428176e-06 1.87907572e-05 6.37836456e-02]\n  [9.24028993e-01 9.90371021e-08 4.90710590e-07 7.59704635e-02]\n  [9.28217530e-01 3.25620135e-08 2.94249986e-07 7.17821121e-02]\n  [9.27147210e-01 3.82711747e-08 4.13452909e-07 7.28524029e-02]\n  [9.27989781e-01 3.38074670e-08 3.94825321e-07 7.20097870e-02]]\n\n [[9.21470940e-01 1.61373810e-05 4.96018874e-05 7.84632713e-02]\n  [9.18206632e-01 3.62483121e-07 1.48306447e-06 8.17915425e-02]\n  [9.29219186e-01 1.33881755e-07 9.09471794e-07 7.07797855e-02]\n  [9.25963640e-01 1.51311667e-07 1.19408651e-06 7.40351006e-02]\n  [9.20316041e-01 1.40728446e-07 1.24864903e-06 7.96826854e-02]]\n\n [[8.81865799e-01 2.96776241e-04 7.51100772e-04 1.17086284e-01]\n  [9.22193944e-01 2.00145696e-05 6.01108222e-05 7.77259171e-02]\n  [9.30601120e-01 1.38511705e-05 4.53368775e-05 6.93395957e-02]\n  [9.27420259e-01 1.69570867e-05 5.94729645e-05 7.25034028e-02]\n  [9.20349121e-01 1.75013283e-05 6.42414016e-05 7.95689821e-02]]]\nPredicted mask after argmax for 2008_001461: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001461 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001461. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001461.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001461: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57263231e-01 4.78039465e-06 9.57278098e-06 4.27224040e-02]\n  [9.76192534e-01 1.99751877e-08 4.33579714e-08 2.38074977e-02]\n  [9.81680870e-01 2.61366773e-09 8.93165719e-09 1.83192026e-02]\n  [9.81336534e-01 2.39545117e-09 1.01058495e-08 1.86634120e-02]\n  [9.80875850e-01 1.93458516e-09 9.28688504e-09 1.91241335e-02]]\n\n [[9.82619643e-01 9.46101153e-09 3.85539991e-08 1.73803885e-02]\n  [9.82692540e-01 8.60942394e-12 4.24746557e-11 1.73075311e-02]\n  [9.81393933e-01 1.27768813e-12 1.25098924e-11 1.86060779e-02]\n  [9.78749096e-01 2.14328728e-12 3.02280943e-11 2.12508626e-02]\n  [9.77408111e-01 1.80683756e-12 3.36686096e-11 2.25919485e-02]]\n\n [[9.91464078e-01 7.26795124e-10 4.69215022e-09 8.53587594e-03]\n  [9.90474045e-01 4.77687280e-13 4.72438408e-12 9.52591281e-03]\n  [9.87577856e-01 9.89381306e-14 2.78162562e-12 1.24221472e-02]\n  [9.82962906e-01 2.30492735e-13 1.02543165e-11 1.70371216e-02]\n  [9.82334375e-01 1.68906230e-13 9.89444377e-12 1.76656693e-02]]\n\n ...\n\n [[9.36191976e-01 5.56428176e-06 1.87907572e-05 6.37836456e-02]\n  [9.24028993e-01 9.90371021e-08 4.90710590e-07 7.59704635e-02]\n  [9.28217530e-01 3.25620135e-08 2.94249986e-07 7.17821121e-02]\n  [9.27147210e-01 3.82711747e-08 4.13452909e-07 7.28524029e-02]\n  [9.27989781e-01 3.38074670e-08 3.94825321e-07 7.20097870e-02]]\n\n [[9.21470940e-01 1.61373810e-05 4.96018874e-05 7.84632713e-02]\n  [9.18206632e-01 3.62483121e-07 1.48306447e-06 8.17915425e-02]\n  [9.29219186e-01 1.33881755e-07 9.09471794e-07 7.07797855e-02]\n  [9.25963640e-01 1.51311667e-07 1.19408651e-06 7.40351006e-02]\n  [9.20316041e-01 1.40728446e-07 1.24864903e-06 7.96826854e-02]]\n\n [[8.81865799e-01 2.96776241e-04 7.51100772e-04 1.17086284e-01]\n  [9.22193944e-01 2.00145696e-05 6.01108222e-05 7.77259171e-02]\n  [9.30601120e-01 1.38511705e-05 4.53368775e-05 6.93395957e-02]\n  [9.27420259e-01 1.69570867e-05 5.94729645e-05 7.25034028e-02]\n  [9.20349121e-01 1.75013283e-05 6.42414016e-05 7.95689821e-02]]]\nPredicted mask after argmax for 2008_001461: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001461 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001461. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001461.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001461: (1, 256, 256, 4)\nSome predicted mask values: [[[9.57263231e-01 4.78039465e-06 9.57278098e-06 4.27224040e-02]\n  [9.76192534e-01 1.99751877e-08 4.33579714e-08 2.38074977e-02]\n  [9.81680870e-01 2.61366773e-09 8.93165719e-09 1.83192026e-02]\n  [9.81336534e-01 2.39545117e-09 1.01058495e-08 1.86634120e-02]\n  [9.80875850e-01 1.93458516e-09 9.28688504e-09 1.91241335e-02]]\n\n [[9.82619643e-01 9.46101153e-09 3.85539991e-08 1.73803885e-02]\n  [9.82692540e-01 8.60942394e-12 4.24746557e-11 1.73075311e-02]\n  [9.81393933e-01 1.27768813e-12 1.25098924e-11 1.86060779e-02]\n  [9.78749096e-01 2.14328728e-12 3.02280943e-11 2.12508626e-02]\n  [9.77408111e-01 1.80683756e-12 3.36686096e-11 2.25919485e-02]]\n\n [[9.91464078e-01 7.26795124e-10 4.69215022e-09 8.53587594e-03]\n  [9.90474045e-01 4.77687280e-13 4.72438408e-12 9.52591281e-03]\n  [9.87577856e-01 9.89381306e-14 2.78162562e-12 1.24221472e-02]\n  [9.82962906e-01 2.30492735e-13 1.02543165e-11 1.70371216e-02]\n  [9.82334375e-01 1.68906230e-13 9.89444377e-12 1.76656693e-02]]\n\n ...\n\n [[9.36191976e-01 5.56428176e-06 1.87907572e-05 6.37836456e-02]\n  [9.24028993e-01 9.90371021e-08 4.90710590e-07 7.59704635e-02]\n  [9.28217530e-01 3.25620135e-08 2.94249986e-07 7.17821121e-02]\n  [9.27147210e-01 3.82711747e-08 4.13452909e-07 7.28524029e-02]\n  [9.27989781e-01 3.38074670e-08 3.94825321e-07 7.20097870e-02]]\n\n [[9.21470940e-01 1.61373810e-05 4.96018874e-05 7.84632713e-02]\n  [9.18206632e-01 3.62483121e-07 1.48306447e-06 8.17915425e-02]\n  [9.29219186e-01 1.33881755e-07 9.09471794e-07 7.07797855e-02]\n  [9.25963640e-01 1.51311667e-07 1.19408651e-06 7.40351006e-02]\n  [9.20316041e-01 1.40728446e-07 1.24864903e-06 7.96826854e-02]]\n\n [[8.81865799e-01 2.96776241e-04 7.51100772e-04 1.17086284e-01]\n  [9.22193944e-01 2.00145696e-05 6.01108222e-05 7.77259171e-02]\n  [9.30601120e-01 1.38511705e-05 4.53368775e-05 6.93395957e-02]\n  [9.27420259e-01 1.69570867e-05 5.94729645e-05 7.25034028e-02]\n  [9.20349121e-01 1.75013283e-05 6.42414016e-05 7.95689821e-02]]]\nPredicted mask after argmax for 2008_001461: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001461 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001461. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_001464: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86581087e-01 6.74910723e-08 1.62938292e-07 1.34186782e-02]\n  [9.94299889e-01 5.65685589e-11 1.07206667e-10 5.70009928e-03]\n  [9.96094406e-01 2.69694857e-12 9.33656624e-12 3.90562671e-03]\n  [9.96363759e-01 8.53609447e-13 4.74770267e-12 3.63619719e-03]\n  [9.97081935e-01 1.73464203e-13 1.25944632e-12 2.91807414e-03]]\n\n [[9.96385336e-01 1.44571456e-11 8.24341012e-11 3.61471158e-03]\n  [9.96174574e-01 1.27190743e-15 7.30816215e-15 3.82542098e-03]\n  [9.94842052e-01 9.42802992e-17 1.33095123e-15 5.15794428e-03]\n  [9.94250238e-01 7.02604234e-17 2.05858081e-15 5.74967312e-03]\n  [9.94779408e-01 1.27641479e-17 6.35146385e-16 5.22054173e-03]]\n\n [[9.98910666e-01 1.86539423e-13 1.91422659e-12 1.08931900e-03]\n  [9.98699307e-01 1.10944624e-17 1.57508635e-16 1.30070781e-03]\n  [9.97797728e-01 1.44055292e-18 1.04894251e-16 2.20233784e-03]\n  [9.96089399e-01 2.58659419e-18 4.44528132e-16 3.91057506e-03]\n  [9.96258140e-01 4.89370959e-19 1.65065400e-16 3.74189229e-03]]\n\n ...\n\n [[9.66936588e-01 2.29705321e-08 1.75283773e-07 3.30631398e-02]\n  [9.76350904e-01 4.23476835e-12 1.04563774e-10 2.36490984e-02]\n  [9.88306582e-01 1.56839534e-14 1.29190365e-12 1.16934394e-02]\n  [9.93062437e-01 8.82140187e-16 1.18580357e-13 6.93754386e-03]\n  [9.95565832e-01 4.72661954e-17 9.70910161e-15 4.43412736e-03]]\n\n [[9.62040007e-01 7.57661880e-08 5.04389448e-07 3.79594602e-02]\n  [9.74284053e-01 2.69908922e-11 4.23589497e-10 2.57159825e-02]\n  [9.86268938e-01 2.67784736e-13 1.06352878e-11 1.37310410e-02]\n  [9.90303099e-01 2.65739257e-14 1.79238243e-12 9.69691295e-03]\n  [9.93254662e-01 2.47188884e-15 2.61574752e-13 6.74536033e-03]]\n\n [[9.42120254e-01 5.30852822e-06 2.55292180e-05 5.78489006e-02]\n  [9.78024125e-01 2.17005187e-08 1.54490181e-07 2.19756793e-02]\n  [9.88420010e-01 1.42316625e-09 1.39771288e-08 1.15800379e-02]\n  [9.90468800e-01 4.67813122e-10 5.67844971e-09 9.53116454e-03]\n  [9.92351472e-01 1.38342171e-10 2.09592366e-09 7.64851505e-03]]]\nPredicted mask after argmax for 2008_001464: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001464 has shape: (500, 333)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001464. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001464: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86581087e-01 6.74910723e-08 1.62938292e-07 1.34186782e-02]\n  [9.94299889e-01 5.65685589e-11 1.07206667e-10 5.70009928e-03]\n  [9.96094406e-01 2.69694857e-12 9.33656624e-12 3.90562671e-03]\n  [9.96363759e-01 8.53609447e-13 4.74770267e-12 3.63619719e-03]\n  [9.97081935e-01 1.73464203e-13 1.25944632e-12 2.91807414e-03]]\n\n [[9.96385336e-01 1.44571456e-11 8.24341012e-11 3.61471158e-03]\n  [9.96174574e-01 1.27190743e-15 7.30816215e-15 3.82542098e-03]\n  [9.94842052e-01 9.42802992e-17 1.33095123e-15 5.15794428e-03]\n  [9.94250238e-01 7.02604234e-17 2.05858081e-15 5.74967312e-03]\n  [9.94779408e-01 1.27641479e-17 6.35146385e-16 5.22054173e-03]]\n\n [[9.98910666e-01 1.86539423e-13 1.91422659e-12 1.08931900e-03]\n  [9.98699307e-01 1.10944624e-17 1.57508635e-16 1.30070781e-03]\n  [9.97797728e-01 1.44055292e-18 1.04894251e-16 2.20233784e-03]\n  [9.96089399e-01 2.58659419e-18 4.44528132e-16 3.91057506e-03]\n  [9.96258140e-01 4.89370959e-19 1.65065400e-16 3.74189229e-03]]\n\n ...\n\n [[9.66936588e-01 2.29705321e-08 1.75283773e-07 3.30631398e-02]\n  [9.76350904e-01 4.23476835e-12 1.04563774e-10 2.36490984e-02]\n  [9.88306582e-01 1.56839534e-14 1.29190365e-12 1.16934394e-02]\n  [9.93062437e-01 8.82140187e-16 1.18580357e-13 6.93754386e-03]\n  [9.95565832e-01 4.72661954e-17 9.70910161e-15 4.43412736e-03]]\n\n [[9.62040007e-01 7.57661880e-08 5.04389448e-07 3.79594602e-02]\n  [9.74284053e-01 2.69908922e-11 4.23589497e-10 2.57159825e-02]\n  [9.86268938e-01 2.67784736e-13 1.06352878e-11 1.37310410e-02]\n  [9.90303099e-01 2.65739257e-14 1.79238243e-12 9.69691295e-03]\n  [9.93254662e-01 2.47188884e-15 2.61574752e-13 6.74536033e-03]]\n\n [[9.42120254e-01 5.30852822e-06 2.55292180e-05 5.78489006e-02]\n  [9.78024125e-01 2.17005187e-08 1.54490181e-07 2.19756793e-02]\n  [9.88420010e-01 1.42316625e-09 1.39771288e-08 1.15800379e-02]\n  [9.90468800e-01 4.67813122e-10 5.67844971e-09 9.53116454e-03]\n  [9.92351472e-01 1.38342171e-10 2.09592366e-09 7.64851505e-03]]]\nPredicted mask after argmax for 2008_001464: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001464 has shape: (500, 333)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001464. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001464: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86581087e-01 6.74910723e-08 1.62938292e-07 1.34186782e-02]\n  [9.94299889e-01 5.65685589e-11 1.07206667e-10 5.70009928e-03]\n  [9.96094406e-01 2.69694857e-12 9.33656624e-12 3.90562671e-03]\n  [9.96363759e-01 8.53609447e-13 4.74770267e-12 3.63619719e-03]\n  [9.97081935e-01 1.73464203e-13 1.25944632e-12 2.91807414e-03]]\n\n [[9.96385336e-01 1.44571456e-11 8.24341012e-11 3.61471158e-03]\n  [9.96174574e-01 1.27190743e-15 7.30816215e-15 3.82542098e-03]\n  [9.94842052e-01 9.42802992e-17 1.33095123e-15 5.15794428e-03]\n  [9.94250238e-01 7.02604234e-17 2.05858081e-15 5.74967312e-03]\n  [9.94779408e-01 1.27641479e-17 6.35146385e-16 5.22054173e-03]]\n\n [[9.98910666e-01 1.86539423e-13 1.91422659e-12 1.08931900e-03]\n  [9.98699307e-01 1.10944624e-17 1.57508635e-16 1.30070781e-03]\n  [9.97797728e-01 1.44055292e-18 1.04894251e-16 2.20233784e-03]\n  [9.96089399e-01 2.58659419e-18 4.44528132e-16 3.91057506e-03]\n  [9.96258140e-01 4.89370959e-19 1.65065400e-16 3.74189229e-03]]\n\n ...\n\n [[9.66936588e-01 2.29705321e-08 1.75283773e-07 3.30631398e-02]\n  [9.76350904e-01 4.23476835e-12 1.04563774e-10 2.36490984e-02]\n  [9.88306582e-01 1.56839534e-14 1.29190365e-12 1.16934394e-02]\n  [9.93062437e-01 8.82140187e-16 1.18580357e-13 6.93754386e-03]\n  [9.95565832e-01 4.72661954e-17 9.70910161e-15 4.43412736e-03]]\n\n [[9.62040007e-01 7.57661880e-08 5.04389448e-07 3.79594602e-02]\n  [9.74284053e-01 2.69908922e-11 4.23589497e-10 2.57159825e-02]\n  [9.86268938e-01 2.67784736e-13 1.06352878e-11 1.37310410e-02]\n  [9.90303099e-01 2.65739257e-14 1.79238243e-12 9.69691295e-03]\n  [9.93254662e-01 2.47188884e-15 2.61574752e-13 6.74536033e-03]]\n\n [[9.42120254e-01 5.30852822e-06 2.55292180e-05 5.78489006e-02]\n  [9.78024125e-01 2.17005187e-08 1.54490181e-07 2.19756793e-02]\n  [9.88420010e-01 1.42316625e-09 1.39771288e-08 1.15800379e-02]\n  [9.90468800e-01 4.67813122e-10 5.67844971e-09 9.53116454e-03]\n  [9.92351472e-01 1.38342171e-10 2.09592366e-09 7.64851505e-03]]]\nPredicted mask after argmax for 2008_001464: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001464 has shape: (500, 333)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001464. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001464: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86581087e-01 6.74910723e-08 1.62938292e-07 1.34186782e-02]\n  [9.94299889e-01 5.65685589e-11 1.07206667e-10 5.70009928e-03]\n  [9.96094406e-01 2.69694857e-12 9.33656624e-12 3.90562671e-03]\n  [9.96363759e-01 8.53609447e-13 4.74770267e-12 3.63619719e-03]\n  [9.97081935e-01 1.73464203e-13 1.25944632e-12 2.91807414e-03]]\n\n [[9.96385336e-01 1.44571456e-11 8.24341012e-11 3.61471158e-03]\n  [9.96174574e-01 1.27190743e-15 7.30816215e-15 3.82542098e-03]\n  [9.94842052e-01 9.42802992e-17 1.33095123e-15 5.15794428e-03]\n  [9.94250238e-01 7.02604234e-17 2.05858081e-15 5.74967312e-03]\n  [9.94779408e-01 1.27641479e-17 6.35146385e-16 5.22054173e-03]]\n\n [[9.98910666e-01 1.86539423e-13 1.91422659e-12 1.08931900e-03]\n  [9.98699307e-01 1.10944624e-17 1.57508635e-16 1.30070781e-03]\n  [9.97797728e-01 1.44055292e-18 1.04894251e-16 2.20233784e-03]\n  [9.96089399e-01 2.58659419e-18 4.44528132e-16 3.91057506e-03]\n  [9.96258140e-01 4.89370959e-19 1.65065400e-16 3.74189229e-03]]\n\n ...\n\n [[9.66936588e-01 2.29705321e-08 1.75283773e-07 3.30631398e-02]\n  [9.76350904e-01 4.23476835e-12 1.04563774e-10 2.36490984e-02]\n  [9.88306582e-01 1.56839534e-14 1.29190365e-12 1.16934394e-02]\n  [9.93062437e-01 8.82140187e-16 1.18580357e-13 6.93754386e-03]\n  [9.95565832e-01 4.72661954e-17 9.70910161e-15 4.43412736e-03]]\n\n [[9.62040007e-01 7.57661880e-08 5.04389448e-07 3.79594602e-02]\n  [9.74284053e-01 2.69908922e-11 4.23589497e-10 2.57159825e-02]\n  [9.86268938e-01 2.67784736e-13 1.06352878e-11 1.37310410e-02]\n  [9.90303099e-01 2.65739257e-14 1.79238243e-12 9.69691295e-03]\n  [9.93254662e-01 2.47188884e-15 2.61574752e-13 6.74536033e-03]]\n\n [[9.42120254e-01 5.30852822e-06 2.55292180e-05 5.78489006e-02]\n  [9.78024125e-01 2.17005187e-08 1.54490181e-07 2.19756793e-02]\n  [9.88420010e-01 1.42316625e-09 1.39771288e-08 1.15800379e-02]\n  [9.90468800e-01 4.67813122e-10 5.67844971e-09 9.53116454e-03]\n  [9.92351472e-01 1.38342171e-10 2.09592366e-09 7.64851505e-03]]]\nPredicted mask after argmax for 2008_001464: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001464 has shape: (500, 333)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001464. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001478.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001478: (1, 256, 256, 4)\nSome predicted mask values: [[[9.37432289e-01 2.52868431e-05 4.55676964e-05 6.24968708e-02]\n  [9.60080624e-01 2.61014122e-07 5.07926359e-07 3.99187468e-02]\n  [9.66521263e-01 5.31585620e-08 1.56878784e-07 3.34786698e-02]\n  [9.64956045e-01 5.49299806e-08 1.97755213e-07 3.50437835e-02]\n  [9.63368058e-01 4.83009650e-08 1.96307397e-07 3.66317891e-02]]\n\n [[9.72333848e-01 1.04405792e-07 3.52062244e-07 2.76656915e-02]\n  [9.71140087e-01 2.84633345e-10 1.12924325e-09 2.88599320e-02]\n  [9.68555987e-01 6.25726554e-11 4.71101658e-10 3.14439833e-02]\n  [9.64165926e-01 1.06654727e-10 1.13009069e-09 3.58340740e-02]\n  [9.62322235e-01 9.35318004e-11 1.27807298e-09 3.76777388e-02]]\n\n [[9.85113621e-01 1.02916555e-08 5.14120764e-08 1.48864221e-02]\n  [9.82905865e-01 2.01526955e-11 1.43912035e-10 1.70941707e-02]\n  [9.78216171e-01 5.61143753e-12 1.03186959e-10 2.17837933e-02]\n  [9.71612811e-01 1.13657000e-11 3.14536258e-10 2.83871721e-02]\n  [9.70998526e-01 8.36757833e-12 2.98117170e-10 2.90013868e-02]]\n\n ...\n\n [[9.43607330e-01 3.10665428e-07 1.72396233e-06 5.63906133e-02]\n  [9.62294698e-01 3.01477815e-10 4.79767825e-09 3.77052352e-02]\n  [9.68959391e-01 3.06747648e-11 8.28310642e-10 3.10406107e-02]\n  [9.70700026e-01 3.49353255e-11 1.00997999e-09 2.92999819e-02]\n  [9.70229566e-01 3.95936929e-11 1.14862064e-09 2.97703985e-02]]\n\n [[9.36378002e-01 8.05845957e-07 4.21528193e-06 6.36169910e-02]\n  [9.58466172e-01 1.34908495e-09 1.55618292e-08 4.15338427e-02]\n  [9.65778947e-01 1.79072326e-10 3.17367288e-09 3.42210233e-02]\n  [9.66777086e-01 1.76959933e-10 3.62229557e-09 3.32229398e-02]\n  [9.66431499e-01 1.75660042e-10 3.95370314e-09 3.35685387e-02]]\n\n [[9.07104731e-01 3.67946632e-05 1.37291339e-04 9.27211493e-02]\n  [9.53154743e-01 5.75366300e-07 2.74420177e-06 4.68419306e-02]\n  [9.66757417e-01 1.65145210e-07 9.79372999e-07 3.32415737e-02]\n  [9.65692878e-01 1.90448176e-07 1.17734294e-06 3.43057215e-02]\n  [9.64206934e-01 2.00156251e-07 1.28257739e-06 3.57915759e-02]]]\nPredicted mask after argmax for 2008_001478: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001478 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001478. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001478.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001478: (1, 256, 256, 4)\nSome predicted mask values: [[[9.37432289e-01 2.52868431e-05 4.55676964e-05 6.24968708e-02]\n  [9.60080624e-01 2.61014122e-07 5.07926359e-07 3.99187468e-02]\n  [9.66521263e-01 5.31585620e-08 1.56878784e-07 3.34786698e-02]\n  [9.64956045e-01 5.49299806e-08 1.97755213e-07 3.50437835e-02]\n  [9.63368058e-01 4.83009650e-08 1.96307397e-07 3.66317891e-02]]\n\n [[9.72333848e-01 1.04405792e-07 3.52062244e-07 2.76656915e-02]\n  [9.71140087e-01 2.84633345e-10 1.12924325e-09 2.88599320e-02]\n  [9.68555987e-01 6.25726554e-11 4.71101658e-10 3.14439833e-02]\n  [9.64165926e-01 1.06654727e-10 1.13009069e-09 3.58340740e-02]\n  [9.62322235e-01 9.35318004e-11 1.27807298e-09 3.76777388e-02]]\n\n [[9.85113621e-01 1.02916555e-08 5.14120764e-08 1.48864221e-02]\n  [9.82905865e-01 2.01526955e-11 1.43912035e-10 1.70941707e-02]\n  [9.78216171e-01 5.61143753e-12 1.03186959e-10 2.17837933e-02]\n  [9.71612811e-01 1.13657000e-11 3.14536258e-10 2.83871721e-02]\n  [9.70998526e-01 8.36757833e-12 2.98117170e-10 2.90013868e-02]]\n\n ...\n\n [[9.43607330e-01 3.10665428e-07 1.72396233e-06 5.63906133e-02]\n  [9.62294698e-01 3.01477815e-10 4.79767825e-09 3.77052352e-02]\n  [9.68959391e-01 3.06747648e-11 8.28310642e-10 3.10406107e-02]\n  [9.70700026e-01 3.49353255e-11 1.00997999e-09 2.92999819e-02]\n  [9.70229566e-01 3.95936929e-11 1.14862064e-09 2.97703985e-02]]\n\n [[9.36378002e-01 8.05845957e-07 4.21528193e-06 6.36169910e-02]\n  [9.58466172e-01 1.34908495e-09 1.55618292e-08 4.15338427e-02]\n  [9.65778947e-01 1.79072326e-10 3.17367288e-09 3.42210233e-02]\n  [9.66777086e-01 1.76959933e-10 3.62229557e-09 3.32229398e-02]\n  [9.66431499e-01 1.75660042e-10 3.95370314e-09 3.35685387e-02]]\n\n [[9.07104731e-01 3.67946632e-05 1.37291339e-04 9.27211493e-02]\n  [9.53154743e-01 5.75366300e-07 2.74420177e-06 4.68419306e-02]\n  [9.66757417e-01 1.65145210e-07 9.79372999e-07 3.32415737e-02]\n  [9.65692878e-01 1.90448176e-07 1.17734294e-06 3.43057215e-02]\n  [9.64206934e-01 2.00156251e-07 1.28257739e-06 3.57915759e-02]]]\nPredicted mask after argmax for 2008_001478: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001478 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001478. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001479.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001479: (1, 256, 256, 4)\nSome predicted mask values: [[[9.6586335e-01 1.6065811e-06 3.4498394e-06 3.4131639e-02]\n  [9.8207760e-01 3.7482280e-09 9.1139505e-09 1.7922441e-02]\n  [9.8677325e-01 3.9472350e-10 1.5280486e-09 1.3226673e-02]\n  [9.8705065e-01 3.3698822e-10 1.5979011e-09 1.2949288e-02]\n  [9.8762614e-01 2.2060746e-10 1.2139152e-09 1.2373869e-02]]\n\n [[9.8744708e-01 1.6274649e-09 7.7183993e-09 1.2552880e-02]\n  [9.8792356e-01 6.5691609e-13 4.0896058e-12 1.2076452e-02]\n  [9.8690653e-01 8.2105153e-14 1.0286068e-12 1.3093453e-02]\n  [9.8502606e-01 1.4338758e-13 2.5002888e-12 1.4973978e-02]\n  [9.8466486e-01 1.0767101e-13 2.5165109e-12 1.5335101e-02]]\n\n [[9.9427170e-01 9.5631551e-11 7.4723128e-10 5.7282145e-03]\n  [9.9377018e-01 2.5432352e-14 3.3158293e-13 6.2297885e-03]\n  [9.9198455e-01 4.5452089e-15 1.8138813e-13 8.0154426e-03]\n  [9.8835295e-01 1.2902121e-14 8.0295807e-13 1.1647043e-02]\n  [9.8789632e-01 1.0326644e-14 8.6199185e-13 1.2103727e-02]]\n\n ...\n\n [[9.0067571e-01 2.6703816e-05 8.2339167e-05 9.9215232e-02]\n  [8.9773977e-01 4.9497100e-07 2.5914826e-06 1.0225715e-01]\n  [9.1058010e-01 1.2115214e-07 9.8637133e-07 8.9418866e-02]\n  [9.1605490e-01 1.1107781e-07 1.0761457e-06 8.3943851e-02]\n  [9.1729695e-01 9.9259182e-08 9.9208978e-07 8.2701951e-02]]\n\n [[8.9258069e-01 5.4200362e-05 1.5620269e-04 1.0720896e-01]\n  [8.9528996e-01 1.3647804e-06 5.8343048e-06 1.0470284e-01]\n  [9.1292316e-01 4.3633460e-07 2.7471176e-06 8.7073691e-02]\n  [9.1088551e-01 4.3871671e-07 3.0962644e-06 8.9110889e-02]\n  [9.0818787e-01 4.0433360e-07 3.1105683e-06 9.1808610e-02]]\n\n [[8.5385370e-01 6.4986508e-04 1.5577616e-03 1.4393862e-01]\n  [9.0228379e-01 5.4188131e-05 1.5244789e-04 9.7509630e-02]\n  [9.1513842e-01 3.3537650e-05 1.0460840e-04 8.4723517e-02]\n  [9.1286576e-01 3.7350273e-05 1.2263794e-04 8.6974353e-02]\n  [9.0746027e-01 3.8099817e-05 1.2872284e-04 9.2372984e-02]]]\nPredicted mask after argmax for 2008_001479: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001479 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001479. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001479.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001479: (1, 256, 256, 4)\nSome predicted mask values: [[[9.6586335e-01 1.6065811e-06 3.4498394e-06 3.4131639e-02]\n  [9.8207760e-01 3.7482280e-09 9.1139505e-09 1.7922441e-02]\n  [9.8677325e-01 3.9472350e-10 1.5280486e-09 1.3226673e-02]\n  [9.8705065e-01 3.3698822e-10 1.5979011e-09 1.2949288e-02]\n  [9.8762614e-01 2.2060746e-10 1.2139152e-09 1.2373869e-02]]\n\n [[9.8744708e-01 1.6274649e-09 7.7183993e-09 1.2552880e-02]\n  [9.8792356e-01 6.5691609e-13 4.0896058e-12 1.2076452e-02]\n  [9.8690653e-01 8.2105153e-14 1.0286068e-12 1.3093453e-02]\n  [9.8502606e-01 1.4338758e-13 2.5002888e-12 1.4973978e-02]\n  [9.8466486e-01 1.0767101e-13 2.5165109e-12 1.5335101e-02]]\n\n [[9.9427170e-01 9.5631551e-11 7.4723128e-10 5.7282145e-03]\n  [9.9377018e-01 2.5432352e-14 3.3158293e-13 6.2297885e-03]\n  [9.9198455e-01 4.5452089e-15 1.8138813e-13 8.0154426e-03]\n  [9.8835295e-01 1.2902121e-14 8.0295807e-13 1.1647043e-02]\n  [9.8789632e-01 1.0326644e-14 8.6199185e-13 1.2103727e-02]]\n\n ...\n\n [[9.0067571e-01 2.6703816e-05 8.2339167e-05 9.9215232e-02]\n  [8.9773977e-01 4.9497100e-07 2.5914826e-06 1.0225715e-01]\n  [9.1058010e-01 1.2115214e-07 9.8637133e-07 8.9418866e-02]\n  [9.1605490e-01 1.1107781e-07 1.0761457e-06 8.3943851e-02]\n  [9.1729695e-01 9.9259182e-08 9.9208978e-07 8.2701951e-02]]\n\n [[8.9258069e-01 5.4200362e-05 1.5620269e-04 1.0720896e-01]\n  [8.9528996e-01 1.3647804e-06 5.8343048e-06 1.0470284e-01]\n  [9.1292316e-01 4.3633460e-07 2.7471176e-06 8.7073691e-02]\n  [9.1088551e-01 4.3871671e-07 3.0962644e-06 8.9110889e-02]\n  [9.0818787e-01 4.0433360e-07 3.1105683e-06 9.1808610e-02]]\n\n [[8.5385370e-01 6.4986508e-04 1.5577616e-03 1.4393862e-01]\n  [9.0228379e-01 5.4188131e-05 1.5244789e-04 9.7509630e-02]\n  [9.1513842e-01 3.3537650e-05 1.0460840e-04 8.4723517e-02]\n  [9.1286576e-01 3.7350273e-05 1.2263794e-04 8.6974353e-02]\n  [9.0746027e-01 3.8099817e-05 1.2872284e-04 9.2372984e-02]]]\nPredicted mask after argmax for 2008_001479: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001479 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001479. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001479.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001479: (1, 256, 256, 4)\nSome predicted mask values: [[[9.6586335e-01 1.6065811e-06 3.4498394e-06 3.4131639e-02]\n  [9.8207760e-01 3.7482280e-09 9.1139505e-09 1.7922441e-02]\n  [9.8677325e-01 3.9472350e-10 1.5280486e-09 1.3226673e-02]\n  [9.8705065e-01 3.3698822e-10 1.5979011e-09 1.2949288e-02]\n  [9.8762614e-01 2.2060746e-10 1.2139152e-09 1.2373869e-02]]\n\n [[9.8744708e-01 1.6274649e-09 7.7183993e-09 1.2552880e-02]\n  [9.8792356e-01 6.5691609e-13 4.0896058e-12 1.2076452e-02]\n  [9.8690653e-01 8.2105153e-14 1.0286068e-12 1.3093453e-02]\n  [9.8502606e-01 1.4338758e-13 2.5002888e-12 1.4973978e-02]\n  [9.8466486e-01 1.0767101e-13 2.5165109e-12 1.5335101e-02]]\n\n [[9.9427170e-01 9.5631551e-11 7.4723128e-10 5.7282145e-03]\n  [9.9377018e-01 2.5432352e-14 3.3158293e-13 6.2297885e-03]\n  [9.9198455e-01 4.5452089e-15 1.8138813e-13 8.0154426e-03]\n  [9.8835295e-01 1.2902121e-14 8.0295807e-13 1.1647043e-02]\n  [9.8789632e-01 1.0326644e-14 8.6199185e-13 1.2103727e-02]]\n\n ...\n\n [[9.0067571e-01 2.6703816e-05 8.2339167e-05 9.9215232e-02]\n  [8.9773977e-01 4.9497100e-07 2.5914826e-06 1.0225715e-01]\n  [9.1058010e-01 1.2115214e-07 9.8637133e-07 8.9418866e-02]\n  [9.1605490e-01 1.1107781e-07 1.0761457e-06 8.3943851e-02]\n  [9.1729695e-01 9.9259182e-08 9.9208978e-07 8.2701951e-02]]\n\n [[8.9258069e-01 5.4200362e-05 1.5620269e-04 1.0720896e-01]\n  [8.9528996e-01 1.3647804e-06 5.8343048e-06 1.0470284e-01]\n  [9.1292316e-01 4.3633460e-07 2.7471176e-06 8.7073691e-02]\n  [9.1088551e-01 4.3871671e-07 3.0962644e-06 8.9110889e-02]\n  [9.0818787e-01 4.0433360e-07 3.1105683e-06 9.1808610e-02]]\n\n [[8.5385370e-01 6.4986508e-04 1.5577616e-03 1.4393862e-01]\n  [9.0228379e-01 5.4188131e-05 1.5244789e-04 9.7509630e-02]\n  [9.1513842e-01 3.3537650e-05 1.0460840e-04 8.4723517e-02]\n  [9.1286576e-01 3.7350273e-05 1.2263794e-04 8.6974353e-02]\n  [9.0746027e-01 3.8099817e-05 1.2872284e-04 9.2372984e-02]]]\nPredicted mask after argmax for 2008_001479: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001479 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001479. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001498.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001498: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7389901e-01 9.4242841e-07 1.9951324e-06 2.6098143e-02]\n  [9.8680323e-01 2.5216338e-09 4.5953930e-09 1.3196746e-02]\n  [9.8991632e-01 2.6736632e-10 8.1562684e-10 1.0083755e-02]\n  [9.8950058e-01 1.8872189e-10 8.2087515e-10 1.0499430e-02]\n  [9.8922139e-01 1.2854062e-10 6.7414735e-10 1.0778679e-02]]\n\n [[9.9143606e-01 7.0692563e-10 3.1369531e-09 8.5638920e-03]\n  [9.9113971e-01 2.8648552e-13 1.3180370e-12 8.8602770e-03]\n  [9.8867130e-01 4.3453339e-14 4.2229699e-13 1.1328688e-02]\n  [9.8629713e-01 7.1074406e-14 1.1870853e-12 1.3702916e-02]\n  [9.8516428e-01 5.2645774e-14 1.2738906e-12 1.4835670e-02]]\n\n [[9.9688584e-01 1.7671264e-11 1.3029930e-10 3.1141364e-03]\n  [9.9640417e-01 4.9074861e-15 4.8850382e-14 3.5958930e-03]\n  [9.9431205e-01 1.2374130e-15 4.5409718e-14 5.6879129e-03]\n  [9.9006057e-01 4.0796656e-15 2.7571066e-13 9.9394219e-03]\n  [9.8864436e-01 3.1962809e-15 3.2970911e-13 1.1355637e-02]]\n\n ...\n\n [[9.1564423e-01 1.2778138e-05 4.3791613e-05 8.4299237e-02]\n  [9.1874647e-01 1.8007103e-07 9.9011299e-07 8.1252359e-02]\n  [9.2285395e-01 5.8599575e-08 5.2084977e-07 7.7145323e-02]\n  [9.2388076e-01 7.0407658e-08 7.2293392e-07 7.6118357e-02]\n  [9.2273247e-01 8.0876120e-08 8.3539237e-07 7.7266492e-02]]\n\n [[8.9708596e-01 3.8810878e-05 1.2296888e-04 1.0275226e-01]\n  [9.0616369e-01 7.7381532e-07 3.6141712e-06 9.3832061e-02]\n  [9.1819245e-01 2.7364737e-07 1.9039561e-06 8.1805371e-02]\n  [9.1495079e-01 3.0722154e-07 2.3687560e-06 8.5046515e-02]\n  [9.1221303e-01 3.2134290e-07 2.6959394e-06 8.7783873e-02]]\n\n [[8.5137081e-01 6.4959889e-04 1.6317097e-03 1.4634785e-01]\n  [8.9684552e-01 5.2936794e-05 1.5643217e-04 1.0294509e-01]\n  [9.1037703e-01 3.2603853e-05 1.1014942e-04 8.9480273e-02]\n  [9.0465802e-01 3.9387178e-05 1.3855628e-04 9.5164001e-02]\n  [8.9701402e-01 4.3534488e-05 1.5645708e-04 1.0278602e-01]]]\nPredicted mask after argmax for 2008_001498: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001498 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001498. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001498.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001498: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7389901e-01 9.4242841e-07 1.9951324e-06 2.6098143e-02]\n  [9.8680323e-01 2.5216338e-09 4.5953930e-09 1.3196746e-02]\n  [9.8991632e-01 2.6736632e-10 8.1562684e-10 1.0083755e-02]\n  [9.8950058e-01 1.8872189e-10 8.2087515e-10 1.0499430e-02]\n  [9.8922139e-01 1.2854062e-10 6.7414735e-10 1.0778679e-02]]\n\n [[9.9143606e-01 7.0692563e-10 3.1369531e-09 8.5638920e-03]\n  [9.9113971e-01 2.8648552e-13 1.3180370e-12 8.8602770e-03]\n  [9.8867130e-01 4.3453339e-14 4.2229699e-13 1.1328688e-02]\n  [9.8629713e-01 7.1074406e-14 1.1870853e-12 1.3702916e-02]\n  [9.8516428e-01 5.2645774e-14 1.2738906e-12 1.4835670e-02]]\n\n [[9.9688584e-01 1.7671264e-11 1.3029930e-10 3.1141364e-03]\n  [9.9640417e-01 4.9074861e-15 4.8850382e-14 3.5958930e-03]\n  [9.9431205e-01 1.2374130e-15 4.5409718e-14 5.6879129e-03]\n  [9.9006057e-01 4.0796656e-15 2.7571066e-13 9.9394219e-03]\n  [9.8864436e-01 3.1962809e-15 3.2970911e-13 1.1355637e-02]]\n\n ...\n\n [[9.1564423e-01 1.2778138e-05 4.3791613e-05 8.4299237e-02]\n  [9.1874647e-01 1.8007103e-07 9.9011299e-07 8.1252359e-02]\n  [9.2285395e-01 5.8599575e-08 5.2084977e-07 7.7145323e-02]\n  [9.2388076e-01 7.0407658e-08 7.2293392e-07 7.6118357e-02]\n  [9.2273247e-01 8.0876120e-08 8.3539237e-07 7.7266492e-02]]\n\n [[8.9708596e-01 3.8810878e-05 1.2296888e-04 1.0275226e-01]\n  [9.0616369e-01 7.7381532e-07 3.6141712e-06 9.3832061e-02]\n  [9.1819245e-01 2.7364737e-07 1.9039561e-06 8.1805371e-02]\n  [9.1495079e-01 3.0722154e-07 2.3687560e-06 8.5046515e-02]\n  [9.1221303e-01 3.2134290e-07 2.6959394e-06 8.7783873e-02]]\n\n [[8.5137081e-01 6.4959889e-04 1.6317097e-03 1.4634785e-01]\n  [8.9684552e-01 5.2936794e-05 1.5643217e-04 1.0294509e-01]\n  [9.1037703e-01 3.2603853e-05 1.1014942e-04 8.9480273e-02]\n  [9.0465802e-01 3.9387178e-05 1.3855628e-04 9.5164001e-02]\n  [8.9701402e-01 4.3534488e-05 1.5645708e-04 1.0278602e-01]]]\nPredicted mask after argmax for 2008_001498: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001498 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001498. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001498.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001498: (1, 256, 256, 4)\nSome predicted mask values: [[[9.7389901e-01 9.4242841e-07 1.9951324e-06 2.6098143e-02]\n  [9.8680323e-01 2.5216338e-09 4.5953930e-09 1.3196746e-02]\n  [9.8991632e-01 2.6736632e-10 8.1562684e-10 1.0083755e-02]\n  [9.8950058e-01 1.8872189e-10 8.2087515e-10 1.0499430e-02]\n  [9.8922139e-01 1.2854062e-10 6.7414735e-10 1.0778679e-02]]\n\n [[9.9143606e-01 7.0692563e-10 3.1369531e-09 8.5638920e-03]\n  [9.9113971e-01 2.8648552e-13 1.3180370e-12 8.8602770e-03]\n  [9.8867130e-01 4.3453339e-14 4.2229699e-13 1.1328688e-02]\n  [9.8629713e-01 7.1074406e-14 1.1870853e-12 1.3702916e-02]\n  [9.8516428e-01 5.2645774e-14 1.2738906e-12 1.4835670e-02]]\n\n [[9.9688584e-01 1.7671264e-11 1.3029930e-10 3.1141364e-03]\n  [9.9640417e-01 4.9074861e-15 4.8850382e-14 3.5958930e-03]\n  [9.9431205e-01 1.2374130e-15 4.5409718e-14 5.6879129e-03]\n  [9.9006057e-01 4.0796656e-15 2.7571066e-13 9.9394219e-03]\n  [9.8864436e-01 3.1962809e-15 3.2970911e-13 1.1355637e-02]]\n\n ...\n\n [[9.1564423e-01 1.2778138e-05 4.3791613e-05 8.4299237e-02]\n  [9.1874647e-01 1.8007103e-07 9.9011299e-07 8.1252359e-02]\n  [9.2285395e-01 5.8599575e-08 5.2084977e-07 7.7145323e-02]\n  [9.2388076e-01 7.0407658e-08 7.2293392e-07 7.6118357e-02]\n  [9.2273247e-01 8.0876120e-08 8.3539237e-07 7.7266492e-02]]\n\n [[8.9708596e-01 3.8810878e-05 1.2296888e-04 1.0275226e-01]\n  [9.0616369e-01 7.7381532e-07 3.6141712e-06 9.3832061e-02]\n  [9.1819245e-01 2.7364737e-07 1.9039561e-06 8.1805371e-02]\n  [9.1495079e-01 3.0722154e-07 2.3687560e-06 8.5046515e-02]\n  [9.1221303e-01 3.2134290e-07 2.6959394e-06 8.7783873e-02]]\n\n [[8.5137081e-01 6.4959889e-04 1.6317097e-03 1.4634785e-01]\n  [8.9684552e-01 5.2936794e-05 1.5643217e-04 1.0294509e-01]\n  [9.1037703e-01 3.2603853e-05 1.1014942e-04 8.9480273e-02]\n  [9.0465802e-01 3.9387178e-05 1.3855628e-04 9.5164001e-02]\n  [8.9701402e-01 4.3534488e-05 1.5645708e-04 1.0278602e-01]]]\nPredicted mask after argmax for 2008_001498: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001498 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001498. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001513.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001513: (1, 256, 256, 4)\nSome predicted mask values: [[[9.77710903e-01 4.61302562e-07 1.04403625e-06 2.22876184e-02]\n  [9.90237534e-01 6.49449050e-10 1.27661182e-09 9.76253487e-03]\n  [9.93663430e-01 3.22887862e-11 1.03371048e-10 6.33652788e-03]\n  [9.94532466e-01 1.00852113e-11 4.56393812e-11 5.46746934e-03]\n  [9.95576680e-01 2.63146276e-12 1.42362476e-11 4.42324067e-03]]\n\n [[9.92164016e-01 3.40359491e-10 1.64558944e-09 7.83592556e-03]\n  [9.92432058e-01 7.09786369e-14 3.72889491e-13 7.56802503e-03]\n  [9.91229057e-01 4.79795630e-15 5.23338730e-14 8.77090823e-03]\n  [9.90952253e-01 2.98791402e-15 5.70194120e-14 9.04769357e-03]\n  [9.91674006e-01 7.09623769e-16 2.01953085e-14 8.32600892e-03]]\n\n [[9.96991277e-01 1.13700915e-11 9.38176759e-11 3.00870230e-03]\n  [9.96721089e-01 1.75148340e-15 2.15584657e-14 3.27891787e-03]\n  [9.95264053e-01 1.92592184e-16 8.98275730e-15 4.73589916e-03]\n  [9.93294656e-01 2.19294329e-16 2.06264923e-14 6.70534000e-03]\n  [9.93595243e-01 5.26706726e-17 8.35090799e-15 6.40477706e-03]]\n\n ...\n\n [[9.24300253e-01 7.73813281e-06 2.80046188e-05 7.56640211e-02]\n  [9.24732149e-01 9.27093637e-08 5.43390172e-07 7.52671435e-02]\n  [9.29759264e-01 2.40514808e-08 2.45280660e-07 7.02405348e-02]\n  [9.32946801e-01 2.24502550e-08 2.78266327e-07 6.70528635e-02]\n  [9.35159385e-01 1.91176053e-08 2.49743351e-07 6.48403838e-02]]\n\n [[9.04269695e-01 2.61319310e-05 8.72915407e-05 9.56169516e-02]\n  [9.11998808e-01 4.40308952e-07 2.19218828e-06 8.79985541e-02]\n  [9.26029265e-01 1.21943998e-07 9.55322321e-07 7.39696473e-02]\n  [9.25258458e-01 1.07634378e-07 9.73295073e-07 7.47404620e-02]\n  [9.25817609e-01 8.63927170e-08 8.92479477e-07 7.41814747e-02]]\n\n [[8.59527886e-01 5.03296847e-04 1.31781748e-03 1.38650984e-01]\n  [9.04655099e-01 3.61024177e-05 1.12388851e-04 9.51963961e-02]\n  [9.19236720e-01 1.93012202e-05 6.98830263e-05 8.06740895e-02]\n  [9.17383611e-01 1.98758098e-05 7.69942999e-05 8.25195014e-02]\n  [9.13133144e-01 1.86326652e-05 7.54118664e-05 8.67728516e-02]]]\nPredicted mask after argmax for 2008_001513: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001513 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001513. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001513.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001513: (1, 256, 256, 4)\nSome predicted mask values: [[[9.77710903e-01 4.61302562e-07 1.04403625e-06 2.22876184e-02]\n  [9.90237534e-01 6.49449050e-10 1.27661182e-09 9.76253487e-03]\n  [9.93663430e-01 3.22887862e-11 1.03371048e-10 6.33652788e-03]\n  [9.94532466e-01 1.00852113e-11 4.56393812e-11 5.46746934e-03]\n  [9.95576680e-01 2.63146276e-12 1.42362476e-11 4.42324067e-03]]\n\n [[9.92164016e-01 3.40359491e-10 1.64558944e-09 7.83592556e-03]\n  [9.92432058e-01 7.09786369e-14 3.72889491e-13 7.56802503e-03]\n  [9.91229057e-01 4.79795630e-15 5.23338730e-14 8.77090823e-03]\n  [9.90952253e-01 2.98791402e-15 5.70194120e-14 9.04769357e-03]\n  [9.91674006e-01 7.09623769e-16 2.01953085e-14 8.32600892e-03]]\n\n [[9.96991277e-01 1.13700915e-11 9.38176759e-11 3.00870230e-03]\n  [9.96721089e-01 1.75148340e-15 2.15584657e-14 3.27891787e-03]\n  [9.95264053e-01 1.92592184e-16 8.98275730e-15 4.73589916e-03]\n  [9.93294656e-01 2.19294329e-16 2.06264923e-14 6.70534000e-03]\n  [9.93595243e-01 5.26706726e-17 8.35090799e-15 6.40477706e-03]]\n\n ...\n\n [[9.24300253e-01 7.73813281e-06 2.80046188e-05 7.56640211e-02]\n  [9.24732149e-01 9.27093637e-08 5.43390172e-07 7.52671435e-02]\n  [9.29759264e-01 2.40514808e-08 2.45280660e-07 7.02405348e-02]\n  [9.32946801e-01 2.24502550e-08 2.78266327e-07 6.70528635e-02]\n  [9.35159385e-01 1.91176053e-08 2.49743351e-07 6.48403838e-02]]\n\n [[9.04269695e-01 2.61319310e-05 8.72915407e-05 9.56169516e-02]\n  [9.11998808e-01 4.40308952e-07 2.19218828e-06 8.79985541e-02]\n  [9.26029265e-01 1.21943998e-07 9.55322321e-07 7.39696473e-02]\n  [9.25258458e-01 1.07634378e-07 9.73295073e-07 7.47404620e-02]\n  [9.25817609e-01 8.63927170e-08 8.92479477e-07 7.41814747e-02]]\n\n [[8.59527886e-01 5.03296847e-04 1.31781748e-03 1.38650984e-01]\n  [9.04655099e-01 3.61024177e-05 1.12388851e-04 9.51963961e-02]\n  [9.19236720e-01 1.93012202e-05 6.98830263e-05 8.06740895e-02]\n  [9.17383611e-01 1.98758098e-05 7.69942999e-05 8.25195014e-02]\n  [9.13133144e-01 1.86326652e-05 7.54118664e-05 8.67728516e-02]]]\nPredicted mask after argmax for 2008_001513: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001513 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001513. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001513.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001513: (1, 256, 256, 4)\nSome predicted mask values: [[[9.77710903e-01 4.61302562e-07 1.04403625e-06 2.22876184e-02]\n  [9.90237534e-01 6.49449050e-10 1.27661182e-09 9.76253487e-03]\n  [9.93663430e-01 3.22887862e-11 1.03371048e-10 6.33652788e-03]\n  [9.94532466e-01 1.00852113e-11 4.56393812e-11 5.46746934e-03]\n  [9.95576680e-01 2.63146276e-12 1.42362476e-11 4.42324067e-03]]\n\n [[9.92164016e-01 3.40359491e-10 1.64558944e-09 7.83592556e-03]\n  [9.92432058e-01 7.09786369e-14 3.72889491e-13 7.56802503e-03]\n  [9.91229057e-01 4.79795630e-15 5.23338730e-14 8.77090823e-03]\n  [9.90952253e-01 2.98791402e-15 5.70194120e-14 9.04769357e-03]\n  [9.91674006e-01 7.09623769e-16 2.01953085e-14 8.32600892e-03]]\n\n [[9.96991277e-01 1.13700915e-11 9.38176759e-11 3.00870230e-03]\n  [9.96721089e-01 1.75148340e-15 2.15584657e-14 3.27891787e-03]\n  [9.95264053e-01 1.92592184e-16 8.98275730e-15 4.73589916e-03]\n  [9.93294656e-01 2.19294329e-16 2.06264923e-14 6.70534000e-03]\n  [9.93595243e-01 5.26706726e-17 8.35090799e-15 6.40477706e-03]]\n\n ...\n\n [[9.24300253e-01 7.73813281e-06 2.80046188e-05 7.56640211e-02]\n  [9.24732149e-01 9.27093637e-08 5.43390172e-07 7.52671435e-02]\n  [9.29759264e-01 2.40514808e-08 2.45280660e-07 7.02405348e-02]\n  [9.32946801e-01 2.24502550e-08 2.78266327e-07 6.70528635e-02]\n  [9.35159385e-01 1.91176053e-08 2.49743351e-07 6.48403838e-02]]\n\n [[9.04269695e-01 2.61319310e-05 8.72915407e-05 9.56169516e-02]\n  [9.11998808e-01 4.40308952e-07 2.19218828e-06 8.79985541e-02]\n  [9.26029265e-01 1.21943998e-07 9.55322321e-07 7.39696473e-02]\n  [9.25258458e-01 1.07634378e-07 9.73295073e-07 7.47404620e-02]\n  [9.25817609e-01 8.63927170e-08 8.92479477e-07 7.41814747e-02]]\n\n [[8.59527886e-01 5.03296847e-04 1.31781748e-03 1.38650984e-01]\n  [9.04655099e-01 3.61024177e-05 1.12388851e-04 9.51963961e-02]\n  [9.19236720e-01 1.93012202e-05 6.98830263e-05 8.06740895e-02]\n  [9.17383611e-01 1.98758098e-05 7.69942999e-05 8.25195014e-02]\n  [9.13133144e-01 1.86326652e-05 7.54118664e-05 8.67728516e-02]]]\nPredicted mask after argmax for 2008_001513: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001513 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001513. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001513.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001513: (1, 256, 256, 4)\nSome predicted mask values: [[[9.77710903e-01 4.61302562e-07 1.04403625e-06 2.22876184e-02]\n  [9.90237534e-01 6.49449050e-10 1.27661182e-09 9.76253487e-03]\n  [9.93663430e-01 3.22887862e-11 1.03371048e-10 6.33652788e-03]\n  [9.94532466e-01 1.00852113e-11 4.56393812e-11 5.46746934e-03]\n  [9.95576680e-01 2.63146276e-12 1.42362476e-11 4.42324067e-03]]\n\n [[9.92164016e-01 3.40359491e-10 1.64558944e-09 7.83592556e-03]\n  [9.92432058e-01 7.09786369e-14 3.72889491e-13 7.56802503e-03]\n  [9.91229057e-01 4.79795630e-15 5.23338730e-14 8.77090823e-03]\n  [9.90952253e-01 2.98791402e-15 5.70194120e-14 9.04769357e-03]\n  [9.91674006e-01 7.09623769e-16 2.01953085e-14 8.32600892e-03]]\n\n [[9.96991277e-01 1.13700915e-11 9.38176759e-11 3.00870230e-03]\n  [9.96721089e-01 1.75148340e-15 2.15584657e-14 3.27891787e-03]\n  [9.95264053e-01 1.92592184e-16 8.98275730e-15 4.73589916e-03]\n  [9.93294656e-01 2.19294329e-16 2.06264923e-14 6.70534000e-03]\n  [9.93595243e-01 5.26706726e-17 8.35090799e-15 6.40477706e-03]]\n\n ...\n\n [[9.24300253e-01 7.73813281e-06 2.80046188e-05 7.56640211e-02]\n  [9.24732149e-01 9.27093637e-08 5.43390172e-07 7.52671435e-02]\n  [9.29759264e-01 2.40514808e-08 2.45280660e-07 7.02405348e-02]\n  [9.32946801e-01 2.24502550e-08 2.78266327e-07 6.70528635e-02]\n  [9.35159385e-01 1.91176053e-08 2.49743351e-07 6.48403838e-02]]\n\n [[9.04269695e-01 2.61319310e-05 8.72915407e-05 9.56169516e-02]\n  [9.11998808e-01 4.40308952e-07 2.19218828e-06 8.79985541e-02]\n  [9.26029265e-01 1.21943998e-07 9.55322321e-07 7.39696473e-02]\n  [9.25258458e-01 1.07634378e-07 9.73295073e-07 7.47404620e-02]\n  [9.25817609e-01 8.63927170e-08 8.92479477e-07 7.41814747e-02]]\n\n [[8.59527886e-01 5.03296847e-04 1.31781748e-03 1.38650984e-01]\n  [9.04655099e-01 3.61024177e-05 1.12388851e-04 9.51963961e-02]\n  [9.19236720e-01 1.93012202e-05 6.98830263e-05 8.06740895e-02]\n  [9.17383611e-01 1.98758098e-05 7.69942999e-05 8.25195014e-02]\n  [9.13133144e-01 1.86326652e-05 7.54118664e-05 8.67728516e-02]]]\nPredicted mask after argmax for 2008_001513: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001513 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001513. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001542.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001542: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53944743e-01 5.78596928e-06 1.13746892e-05 4.60381620e-02]\n  [9.73492146e-01 2.51089247e-08 5.80269770e-08 2.65077874e-02]\n  [9.78558183e-01 3.68664677e-09 1.38102534e-08 2.14417502e-02]\n  [9.77587700e-01 3.88704668e-09 1.78708337e-08 2.24122666e-02]\n  [9.76354659e-01 3.47835849e-09 1.81675777e-08 2.36452818e-02]]\n\n [[9.81855154e-01 1.06264721e-08 4.32476632e-08 1.81448683e-02]\n  [9.81805027e-01 9.75270906e-12 5.05842521e-11 1.81949306e-02]\n  [9.80917931e-01 1.37443138e-12 1.52935546e-11 1.90820266e-02]\n  [9.78276432e-01 2.39919521e-12 3.87519287e-11 2.17235498e-02]\n  [9.76953924e-01 2.10552192e-12 4.50583321e-11 2.30460893e-02]]\n\n [[9.91025209e-01 8.04399714e-10 5.17259968e-09 8.97484645e-03]\n  [9.90019917e-01 4.90543207e-13 5.02481000e-12 9.98012256e-03]\n  [9.87531126e-01 8.91842820e-14 2.67517128e-12 1.24688325e-02]\n  [9.84054267e-01 1.71812082e-13 8.13465094e-12 1.59457754e-02]\n  [9.83610272e-01 1.27156505e-13 7.89456694e-12 1.63897611e-02]]\n\n ...\n\n [[9.56681252e-01 3.51808069e-07 1.66404789e-06 4.33166958e-02]\n  [9.55133080e-01 1.26136879e-09 1.22323289e-08 4.48669456e-02]\n  [9.56649959e-01 2.41328568e-10 4.35145031e-09 4.33500968e-02]\n  [9.59621489e-01 2.75206663e-10 6.25158458e-09 4.03785370e-02]\n  [9.60538030e-01 2.53233823e-10 5.96301142e-09 3.94619443e-02]]\n\n [[9.49677825e-01 8.75806563e-07 3.87854243e-06 5.03174253e-02]\n  [9.54021871e-01 4.09964418e-09 3.11042285e-08 4.59782146e-02]\n  [9.60696340e-01 9.29782251e-10 1.20680914e-08 3.93036865e-02]\n  [9.58098590e-01 1.14138188e-09 1.73527575e-08 4.19014767e-02]\n  [9.57111657e-01 1.06070719e-09 1.88624742e-08 4.28883173e-02]]\n\n [[9.20727551e-01 3.17027225e-05 1.08156906e-04 7.91326091e-02]\n  [9.57385302e-01 7.16981958e-07 3.05487697e-06 4.26109023e-02]\n  [9.65888143e-01 3.46712056e-07 1.68658653e-06 3.41097973e-02]\n  [9.64117706e-01 4.59960233e-07 2.41332168e-06 3.58793512e-02]\n  [9.59967196e-01 5.07465984e-07 2.80095037e-06 4.00296450e-02]]]\nPredicted mask after argmax for 2008_001542: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001542 has shape: (370, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001542. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001542.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001542: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53944743e-01 5.78596928e-06 1.13746892e-05 4.60381620e-02]\n  [9.73492146e-01 2.51089247e-08 5.80269770e-08 2.65077874e-02]\n  [9.78558183e-01 3.68664677e-09 1.38102534e-08 2.14417502e-02]\n  [9.77587700e-01 3.88704668e-09 1.78708337e-08 2.24122666e-02]\n  [9.76354659e-01 3.47835849e-09 1.81675777e-08 2.36452818e-02]]\n\n [[9.81855154e-01 1.06264721e-08 4.32476632e-08 1.81448683e-02]\n  [9.81805027e-01 9.75270906e-12 5.05842521e-11 1.81949306e-02]\n  [9.80917931e-01 1.37443138e-12 1.52935546e-11 1.90820266e-02]\n  [9.78276432e-01 2.39919521e-12 3.87519287e-11 2.17235498e-02]\n  [9.76953924e-01 2.10552192e-12 4.50583321e-11 2.30460893e-02]]\n\n [[9.91025209e-01 8.04399714e-10 5.17259968e-09 8.97484645e-03]\n  [9.90019917e-01 4.90543207e-13 5.02481000e-12 9.98012256e-03]\n  [9.87531126e-01 8.91842820e-14 2.67517128e-12 1.24688325e-02]\n  [9.84054267e-01 1.71812082e-13 8.13465094e-12 1.59457754e-02]\n  [9.83610272e-01 1.27156505e-13 7.89456694e-12 1.63897611e-02]]\n\n ...\n\n [[9.56681252e-01 3.51808069e-07 1.66404789e-06 4.33166958e-02]\n  [9.55133080e-01 1.26136879e-09 1.22323289e-08 4.48669456e-02]\n  [9.56649959e-01 2.41328568e-10 4.35145031e-09 4.33500968e-02]\n  [9.59621489e-01 2.75206663e-10 6.25158458e-09 4.03785370e-02]\n  [9.60538030e-01 2.53233823e-10 5.96301142e-09 3.94619443e-02]]\n\n [[9.49677825e-01 8.75806563e-07 3.87854243e-06 5.03174253e-02]\n  [9.54021871e-01 4.09964418e-09 3.11042285e-08 4.59782146e-02]\n  [9.60696340e-01 9.29782251e-10 1.20680914e-08 3.93036865e-02]\n  [9.58098590e-01 1.14138188e-09 1.73527575e-08 4.19014767e-02]\n  [9.57111657e-01 1.06070719e-09 1.88624742e-08 4.28883173e-02]]\n\n [[9.20727551e-01 3.17027225e-05 1.08156906e-04 7.91326091e-02]\n  [9.57385302e-01 7.16981958e-07 3.05487697e-06 4.26109023e-02]\n  [9.65888143e-01 3.46712056e-07 1.68658653e-06 3.41097973e-02]\n  [9.64117706e-01 4.59960233e-07 2.41332168e-06 3.58793512e-02]\n  [9.59967196e-01 5.07465984e-07 2.80095037e-06 4.00296450e-02]]]\nPredicted mask after argmax for 2008_001542: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001542 has shape: (370, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001542. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001542.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001542: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53944743e-01 5.78596928e-06 1.13746892e-05 4.60381620e-02]\n  [9.73492146e-01 2.51089247e-08 5.80269770e-08 2.65077874e-02]\n  [9.78558183e-01 3.68664677e-09 1.38102534e-08 2.14417502e-02]\n  [9.77587700e-01 3.88704668e-09 1.78708337e-08 2.24122666e-02]\n  [9.76354659e-01 3.47835849e-09 1.81675777e-08 2.36452818e-02]]\n\n [[9.81855154e-01 1.06264721e-08 4.32476632e-08 1.81448683e-02]\n  [9.81805027e-01 9.75270906e-12 5.05842521e-11 1.81949306e-02]\n  [9.80917931e-01 1.37443138e-12 1.52935546e-11 1.90820266e-02]\n  [9.78276432e-01 2.39919521e-12 3.87519287e-11 2.17235498e-02]\n  [9.76953924e-01 2.10552192e-12 4.50583321e-11 2.30460893e-02]]\n\n [[9.91025209e-01 8.04399714e-10 5.17259968e-09 8.97484645e-03]\n  [9.90019917e-01 4.90543207e-13 5.02481000e-12 9.98012256e-03]\n  [9.87531126e-01 8.91842820e-14 2.67517128e-12 1.24688325e-02]\n  [9.84054267e-01 1.71812082e-13 8.13465094e-12 1.59457754e-02]\n  [9.83610272e-01 1.27156505e-13 7.89456694e-12 1.63897611e-02]]\n\n ...\n\n [[9.56681252e-01 3.51808069e-07 1.66404789e-06 4.33166958e-02]\n  [9.55133080e-01 1.26136879e-09 1.22323289e-08 4.48669456e-02]\n  [9.56649959e-01 2.41328568e-10 4.35145031e-09 4.33500968e-02]\n  [9.59621489e-01 2.75206663e-10 6.25158458e-09 4.03785370e-02]\n  [9.60538030e-01 2.53233823e-10 5.96301142e-09 3.94619443e-02]]\n\n [[9.49677825e-01 8.75806563e-07 3.87854243e-06 5.03174253e-02]\n  [9.54021871e-01 4.09964418e-09 3.11042285e-08 4.59782146e-02]\n  [9.60696340e-01 9.29782251e-10 1.20680914e-08 3.93036865e-02]\n  [9.58098590e-01 1.14138188e-09 1.73527575e-08 4.19014767e-02]\n  [9.57111657e-01 1.06070719e-09 1.88624742e-08 4.28883173e-02]]\n\n [[9.20727551e-01 3.17027225e-05 1.08156906e-04 7.91326091e-02]\n  [9.57385302e-01 7.16981958e-07 3.05487697e-06 4.26109023e-02]\n  [9.65888143e-01 3.46712056e-07 1.68658653e-06 3.41097973e-02]\n  [9.64117706e-01 4.59960233e-07 2.41332168e-06 3.58793512e-02]\n  [9.59967196e-01 5.07465984e-07 2.80095037e-06 4.00296450e-02]]]\nPredicted mask after argmax for 2008_001542: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001542 has shape: (370, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001542. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001544.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001544: (1, 256, 256, 4)\nSome predicted mask values: [[[9.52436388e-01 9.55237465e-06 1.83930279e-05 4.75356765e-02]\n  [9.73948896e-01 5.51341834e-08 1.01192043e-07 2.60510575e-02]\n  [9.81204093e-01 5.86043303e-09 1.57919331e-08 1.87959801e-02]\n  [9.82619762e-01 3.17343374e-09 1.07643556e-08 1.73802320e-02]\n  [9.83866751e-01 1.72930281e-09 6.63342092e-09 1.61332581e-02]]\n\n [[9.79060352e-01 3.05874757e-08 1.10289534e-07 2.09395308e-02]\n  [9.79519844e-01 4.06027607e-11 1.64251071e-10 2.04801988e-02]\n  [9.77679312e-01 5.43845134e-12 3.85942875e-11 2.23207064e-02]\n  [9.76144373e-01 5.26657754e-12 5.49640611e-11 2.38556471e-02]\n  [9.76167560e-01 2.73476424e-12 3.79151259e-11 2.38324646e-02]]\n\n [[9.89807427e-01 2.28442709e-09 1.27191244e-08 1.01925898e-02]\n  [9.88782942e-01 2.46465326e-12 1.94668864e-11 1.12171005e-02]\n  [9.85235572e-01 5.04351443e-13 1.06567784e-11 1.47644542e-02]\n  [9.80523825e-01 7.26896082e-13 2.52295927e-11 1.94762070e-02]\n  [9.80261803e-01 3.49099899e-13 1.71762951e-11 1.97381433e-02]]\n\n ...\n\n [[9.14497435e-01 6.59256148e-06 2.52140708e-05 8.54708701e-02]\n  [9.27913070e-01 3.62375232e-08 2.91338239e-07 7.20865428e-02]\n  [9.46456134e-01 3.38478756e-09 4.62406753e-08 5.35439141e-02]\n  [9.51806843e-01 2.28629737e-09 3.61872772e-08 4.81930822e-02]\n  [9.51511025e-01 2.04223216e-09 3.34146968e-08 4.84889857e-02]]\n\n [[9.06139970e-01 1.41721002e-05 5.05867865e-05 9.37953666e-02]\n  [9.24003065e-01 1.12776661e-07 7.09081519e-07 7.59961233e-02]\n  [9.42953944e-01 1.51224295e-08 1.46713063e-07 5.70459366e-02]\n  [9.45436239e-01 1.04587974e-08 1.19314507e-07 5.45636676e-02]\n  [9.45576251e-01 8.54292637e-09 1.08648727e-07 5.44236749e-02]]\n\n [[8.73295784e-01 2.43543895e-04 6.87014952e-04 1.25773683e-01]\n  [9.26931560e-01 9.62459490e-06 3.33578864e-05 7.30254874e-02]\n  [9.45114851e-01 3.26185386e-06 1.31974257e-05 5.48686534e-02]\n  [9.43883896e-01 3.06820334e-06 1.30719309e-05 5.60999438e-02]\n  [9.41543579e-01 2.97293400e-06 1.31940433e-05 5.84402643e-02]]]\nPredicted mask after argmax for 2008_001544: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001544 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001544. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001544.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_001544: (1, 256, 256, 4)\nSome predicted mask values: [[[9.52436388e-01 9.55237465e-06 1.83930279e-05 4.75356765e-02]\n  [9.73948896e-01 5.51341834e-08 1.01192043e-07 2.60510575e-02]\n  [9.81204093e-01 5.86043303e-09 1.57919331e-08 1.87959801e-02]\n  [9.82619762e-01 3.17343374e-09 1.07643556e-08 1.73802320e-02]\n  [9.83866751e-01 1.72930281e-09 6.63342092e-09 1.61332581e-02]]\n\n [[9.79060352e-01 3.05874757e-08 1.10289534e-07 2.09395308e-02]\n  [9.79519844e-01 4.06027607e-11 1.64251071e-10 2.04801988e-02]\n  [9.77679312e-01 5.43845134e-12 3.85942875e-11 2.23207064e-02]\n  [9.76144373e-01 5.26657754e-12 5.49640611e-11 2.38556471e-02]\n  [9.76167560e-01 2.73476424e-12 3.79151259e-11 2.38324646e-02]]\n\n [[9.89807427e-01 2.28442709e-09 1.27191244e-08 1.01925898e-02]\n  [9.88782942e-01 2.46465326e-12 1.94668864e-11 1.12171005e-02]\n  [9.85235572e-01 5.04351443e-13 1.06567784e-11 1.47644542e-02]\n  [9.80523825e-01 7.26896082e-13 2.52295927e-11 1.94762070e-02]\n  [9.80261803e-01 3.49099899e-13 1.71762951e-11 1.97381433e-02]]\n\n ...\n\n [[9.14497435e-01 6.59256148e-06 2.52140708e-05 8.54708701e-02]\n  [9.27913070e-01 3.62375232e-08 2.91338239e-07 7.20865428e-02]\n  [9.46456134e-01 3.38478756e-09 4.62406753e-08 5.35439141e-02]\n  [9.51806843e-01 2.28629737e-09 3.61872772e-08 4.81930822e-02]\n  [9.51511025e-01 2.04223216e-09 3.34146968e-08 4.84889857e-02]]\n\n [[9.06139970e-01 1.41721002e-05 5.05867865e-05 9.37953666e-02]\n  [9.24003065e-01 1.12776661e-07 7.09081519e-07 7.59961233e-02]\n  [9.42953944e-01 1.51224295e-08 1.46713063e-07 5.70459366e-02]\n  [9.45436239e-01 1.04587974e-08 1.19314507e-07 5.45636676e-02]\n  [9.45576251e-01 8.54292637e-09 1.08648727e-07 5.44236749e-02]]\n\n [[8.73295784e-01 2.43543895e-04 6.87014952e-04 1.25773683e-01]\n  [9.26931560e-01 9.62459490e-06 3.33578864e-05 7.30254874e-02]\n  [9.45114851e-01 3.26185386e-06 1.31974257e-05 5.48686534e-02]\n  [9.43883896e-01 3.06820334e-06 1.30719309e-05 5.60999438e-02]\n  [9.41543579e-01 2.97293400e-06 1.31940433e-05 5.84402643e-02]]]\nPredicted mask after argmax for 2008_001544: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001544 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001544. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001544.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001544: (1, 256, 256, 4)\nSome predicted mask values: [[[9.52436388e-01 9.55237465e-06 1.83930279e-05 4.75356765e-02]\n  [9.73948896e-01 5.51341834e-08 1.01192043e-07 2.60510575e-02]\n  [9.81204093e-01 5.86043303e-09 1.57919331e-08 1.87959801e-02]\n  [9.82619762e-01 3.17343374e-09 1.07643556e-08 1.73802320e-02]\n  [9.83866751e-01 1.72930281e-09 6.63342092e-09 1.61332581e-02]]\n\n [[9.79060352e-01 3.05874757e-08 1.10289534e-07 2.09395308e-02]\n  [9.79519844e-01 4.06027607e-11 1.64251071e-10 2.04801988e-02]\n  [9.77679312e-01 5.43845134e-12 3.85942875e-11 2.23207064e-02]\n  [9.76144373e-01 5.26657754e-12 5.49640611e-11 2.38556471e-02]\n  [9.76167560e-01 2.73476424e-12 3.79151259e-11 2.38324646e-02]]\n\n [[9.89807427e-01 2.28442709e-09 1.27191244e-08 1.01925898e-02]\n  [9.88782942e-01 2.46465326e-12 1.94668864e-11 1.12171005e-02]\n  [9.85235572e-01 5.04351443e-13 1.06567784e-11 1.47644542e-02]\n  [9.80523825e-01 7.26896082e-13 2.52295927e-11 1.94762070e-02]\n  [9.80261803e-01 3.49099899e-13 1.71762951e-11 1.97381433e-02]]\n\n ...\n\n [[9.14497435e-01 6.59256148e-06 2.52140708e-05 8.54708701e-02]\n  [9.27913070e-01 3.62375232e-08 2.91338239e-07 7.20865428e-02]\n  [9.46456134e-01 3.38478756e-09 4.62406753e-08 5.35439141e-02]\n  [9.51806843e-01 2.28629737e-09 3.61872772e-08 4.81930822e-02]\n  [9.51511025e-01 2.04223216e-09 3.34146968e-08 4.84889857e-02]]\n\n [[9.06139970e-01 1.41721002e-05 5.05867865e-05 9.37953666e-02]\n  [9.24003065e-01 1.12776661e-07 7.09081519e-07 7.59961233e-02]\n  [9.42953944e-01 1.51224295e-08 1.46713063e-07 5.70459366e-02]\n  [9.45436239e-01 1.04587974e-08 1.19314507e-07 5.45636676e-02]\n  [9.45576251e-01 8.54292637e-09 1.08648727e-07 5.44236749e-02]]\n\n [[8.73295784e-01 2.43543895e-04 6.87014952e-04 1.25773683e-01]\n  [9.26931560e-01 9.62459490e-06 3.33578864e-05 7.30254874e-02]\n  [9.45114851e-01 3.26185386e-06 1.31974257e-05 5.48686534e-02]\n  [9.43883896e-01 3.06820334e-06 1.30719309e-05 5.60999438e-02]\n  [9.41543579e-01 2.97293400e-06 1.31940433e-05 5.84402643e-02]]]\nPredicted mask after argmax for 2008_001544: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001544 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001544. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001550.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001550: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8586059e-01 6.6503553e-08 1.6897640e-07 1.4139136e-02]\n  [9.9460107e-01 3.2588342e-11 7.3459967e-11 5.3988979e-03]\n  [9.9680728e-01 9.0429227e-13 3.6513743e-12 3.1927030e-03]\n  [9.9731112e-01 2.2563600e-13 1.3696908e-12 2.6888484e-03]\n  [9.9785477e-01 5.0920693e-14 3.8343249e-13 2.1451591e-03]]\n\n [[9.9582279e-01 1.5890183e-11 9.8232381e-11 4.1771969e-03]\n  [9.9629194e-01 7.4878300e-16 5.2245195e-15 3.7080240e-03]\n  [9.9594504e-01 2.3521142e-17 3.9819739e-16 4.0549543e-03]\n  [9.9581826e-01 1.1619522e-17 3.7972879e-16 4.1816519e-03]\n  [9.9619257e-01 2.2661519e-18 1.1756116e-16 3.8074341e-03]]\n\n [[9.9870813e-01 2.3455538e-13 2.7618418e-12 1.2918949e-03]\n  [9.9868935e-01 6.1842483e-18 1.2040239e-16 1.3105957e-03]\n  [9.9802774e-01 3.0817674e-19 2.8925497e-17 1.9722511e-03]\n  [9.9730504e-01 2.6518211e-19 5.9892138e-17 2.6950126e-03]\n  [9.9746454e-01 4.9160895e-20 2.0460534e-17 2.5355141e-03]]\n\n ...\n\n [[9.2959636e-01 5.3516046e-06 2.0118889e-05 7.0378155e-02]\n  [9.3088615e-01 5.5045266e-08 3.3229895e-07 6.9113515e-02]\n  [9.3512541e-01 1.4521980e-08 1.5609027e-07 6.4874426e-02]\n  [9.3678182e-01 1.5298673e-08 1.9741741e-07 6.3217938e-02]\n  [9.3700272e-01 1.5256992e-08 2.0381474e-07 6.2997021e-02]]\n\n [[9.1078907e-01 1.8819424e-05 6.4569402e-05 8.9127570e-02]\n  [9.1822761e-01 2.7754803e-07 1.4125396e-06 8.1770591e-02]\n  [9.3023717e-01 8.0244419e-08 6.5903629e-07 6.9762103e-02]\n  [9.2813826e-01 7.9650746e-08 7.4902368e-07 7.1860872e-02]\n  [9.2664832e-01 7.3501624e-08 7.8238747e-07 7.3350787e-02]]\n\n [[8.6728394e-01 3.9025076e-04 1.0524227e-03 1.3127336e-01]\n  [9.1045737e-01 2.5238543e-05 8.1764236e-05 8.9435607e-02]\n  [9.2370850e-01 1.3930504e-05 5.2569369e-05 7.6225035e-02]\n  [9.1977859e-01 1.5919886e-05 6.3700500e-05 8.0141760e-02]\n  [9.1360313e-01 1.6432932e-05 6.8445675e-05 8.6312033e-02]]]\nPredicted mask after argmax for 2008_001550: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001550 has shape: (366, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001550. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001550.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001550: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8586059e-01 6.6503553e-08 1.6897640e-07 1.4139136e-02]\n  [9.9460107e-01 3.2588342e-11 7.3459967e-11 5.3988979e-03]\n  [9.9680728e-01 9.0429227e-13 3.6513743e-12 3.1927030e-03]\n  [9.9731112e-01 2.2563600e-13 1.3696908e-12 2.6888484e-03]\n  [9.9785477e-01 5.0920693e-14 3.8343249e-13 2.1451591e-03]]\n\n [[9.9582279e-01 1.5890183e-11 9.8232381e-11 4.1771969e-03]\n  [9.9629194e-01 7.4878300e-16 5.2245195e-15 3.7080240e-03]\n  [9.9594504e-01 2.3521142e-17 3.9819739e-16 4.0549543e-03]\n  [9.9581826e-01 1.1619522e-17 3.7972879e-16 4.1816519e-03]\n  [9.9619257e-01 2.2661519e-18 1.1756116e-16 3.8074341e-03]]\n\n [[9.9870813e-01 2.3455538e-13 2.7618418e-12 1.2918949e-03]\n  [9.9868935e-01 6.1842483e-18 1.2040239e-16 1.3105957e-03]\n  [9.9802774e-01 3.0817674e-19 2.8925497e-17 1.9722511e-03]\n  [9.9730504e-01 2.6518211e-19 5.9892138e-17 2.6950126e-03]\n  [9.9746454e-01 4.9160895e-20 2.0460534e-17 2.5355141e-03]]\n\n ...\n\n [[9.2959636e-01 5.3516046e-06 2.0118889e-05 7.0378155e-02]\n  [9.3088615e-01 5.5045266e-08 3.3229895e-07 6.9113515e-02]\n  [9.3512541e-01 1.4521980e-08 1.5609027e-07 6.4874426e-02]\n  [9.3678182e-01 1.5298673e-08 1.9741741e-07 6.3217938e-02]\n  [9.3700272e-01 1.5256992e-08 2.0381474e-07 6.2997021e-02]]\n\n [[9.1078907e-01 1.8819424e-05 6.4569402e-05 8.9127570e-02]\n  [9.1822761e-01 2.7754803e-07 1.4125396e-06 8.1770591e-02]\n  [9.3023717e-01 8.0244419e-08 6.5903629e-07 6.9762103e-02]\n  [9.2813826e-01 7.9650746e-08 7.4902368e-07 7.1860872e-02]\n  [9.2664832e-01 7.3501624e-08 7.8238747e-07 7.3350787e-02]]\n\n [[8.6728394e-01 3.9025076e-04 1.0524227e-03 1.3127336e-01]\n  [9.1045737e-01 2.5238543e-05 8.1764236e-05 8.9435607e-02]\n  [9.2370850e-01 1.3930504e-05 5.2569369e-05 7.6225035e-02]\n  [9.1977859e-01 1.5919886e-05 6.3700500e-05 8.0141760e-02]\n  [9.1360313e-01 1.6432932e-05 6.8445675e-05 8.6312033e-02]]]\nPredicted mask after argmax for 2008_001550: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001550 has shape: (366, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001550. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001550.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001550: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8586059e-01 6.6503553e-08 1.6897640e-07 1.4139136e-02]\n  [9.9460107e-01 3.2588342e-11 7.3459967e-11 5.3988979e-03]\n  [9.9680728e-01 9.0429227e-13 3.6513743e-12 3.1927030e-03]\n  [9.9731112e-01 2.2563600e-13 1.3696908e-12 2.6888484e-03]\n  [9.9785477e-01 5.0920693e-14 3.8343249e-13 2.1451591e-03]]\n\n [[9.9582279e-01 1.5890183e-11 9.8232381e-11 4.1771969e-03]\n  [9.9629194e-01 7.4878300e-16 5.2245195e-15 3.7080240e-03]\n  [9.9594504e-01 2.3521142e-17 3.9819739e-16 4.0549543e-03]\n  [9.9581826e-01 1.1619522e-17 3.7972879e-16 4.1816519e-03]\n  [9.9619257e-01 2.2661519e-18 1.1756116e-16 3.8074341e-03]]\n\n [[9.9870813e-01 2.3455538e-13 2.7618418e-12 1.2918949e-03]\n  [9.9868935e-01 6.1842483e-18 1.2040239e-16 1.3105957e-03]\n  [9.9802774e-01 3.0817674e-19 2.8925497e-17 1.9722511e-03]\n  [9.9730504e-01 2.6518211e-19 5.9892138e-17 2.6950126e-03]\n  [9.9746454e-01 4.9160895e-20 2.0460534e-17 2.5355141e-03]]\n\n ...\n\n [[9.2959636e-01 5.3516046e-06 2.0118889e-05 7.0378155e-02]\n  [9.3088615e-01 5.5045266e-08 3.3229895e-07 6.9113515e-02]\n  [9.3512541e-01 1.4521980e-08 1.5609027e-07 6.4874426e-02]\n  [9.3678182e-01 1.5298673e-08 1.9741741e-07 6.3217938e-02]\n  [9.3700272e-01 1.5256992e-08 2.0381474e-07 6.2997021e-02]]\n\n [[9.1078907e-01 1.8819424e-05 6.4569402e-05 8.9127570e-02]\n  [9.1822761e-01 2.7754803e-07 1.4125396e-06 8.1770591e-02]\n  [9.3023717e-01 8.0244419e-08 6.5903629e-07 6.9762103e-02]\n  [9.2813826e-01 7.9650746e-08 7.4902368e-07 7.1860872e-02]\n  [9.2664832e-01 7.3501624e-08 7.8238747e-07 7.3350787e-02]]\n\n [[8.6728394e-01 3.9025076e-04 1.0524227e-03 1.3127336e-01]\n  [9.1045737e-01 2.5238543e-05 8.1764236e-05 8.9435607e-02]\n  [9.2370850e-01 1.3930504e-05 5.2569369e-05 7.6225035e-02]\n  [9.1977859e-01 1.5919886e-05 6.3700500e-05 8.0141760e-02]\n  [9.1360313e-01 1.6432932e-05 6.8445675e-05 8.6312033e-02]]]\nPredicted mask after argmax for 2008_001550: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001550 has shape: (366, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001550. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001550.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001550: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8586059e-01 6.6503553e-08 1.6897640e-07 1.4139136e-02]\n  [9.9460107e-01 3.2588342e-11 7.3459967e-11 5.3988979e-03]\n  [9.9680728e-01 9.0429227e-13 3.6513743e-12 3.1927030e-03]\n  [9.9731112e-01 2.2563600e-13 1.3696908e-12 2.6888484e-03]\n  [9.9785477e-01 5.0920693e-14 3.8343249e-13 2.1451591e-03]]\n\n [[9.9582279e-01 1.5890183e-11 9.8232381e-11 4.1771969e-03]\n  [9.9629194e-01 7.4878300e-16 5.2245195e-15 3.7080240e-03]\n  [9.9594504e-01 2.3521142e-17 3.9819739e-16 4.0549543e-03]\n  [9.9581826e-01 1.1619522e-17 3.7972879e-16 4.1816519e-03]\n  [9.9619257e-01 2.2661519e-18 1.1756116e-16 3.8074341e-03]]\n\n [[9.9870813e-01 2.3455538e-13 2.7618418e-12 1.2918949e-03]\n  [9.9868935e-01 6.1842483e-18 1.2040239e-16 1.3105957e-03]\n  [9.9802774e-01 3.0817674e-19 2.8925497e-17 1.9722511e-03]\n  [9.9730504e-01 2.6518211e-19 5.9892138e-17 2.6950126e-03]\n  [9.9746454e-01 4.9160895e-20 2.0460534e-17 2.5355141e-03]]\n\n ...\n\n [[9.2959636e-01 5.3516046e-06 2.0118889e-05 7.0378155e-02]\n  [9.3088615e-01 5.5045266e-08 3.3229895e-07 6.9113515e-02]\n  [9.3512541e-01 1.4521980e-08 1.5609027e-07 6.4874426e-02]\n  [9.3678182e-01 1.5298673e-08 1.9741741e-07 6.3217938e-02]\n  [9.3700272e-01 1.5256992e-08 2.0381474e-07 6.2997021e-02]]\n\n [[9.1078907e-01 1.8819424e-05 6.4569402e-05 8.9127570e-02]\n  [9.1822761e-01 2.7754803e-07 1.4125396e-06 8.1770591e-02]\n  [9.3023717e-01 8.0244419e-08 6.5903629e-07 6.9762103e-02]\n  [9.2813826e-01 7.9650746e-08 7.4902368e-07 7.1860872e-02]\n  [9.2664832e-01 7.3501624e-08 7.8238747e-07 7.3350787e-02]]\n\n [[8.6728394e-01 3.9025076e-04 1.0524227e-03 1.3127336e-01]\n  [9.1045737e-01 2.5238543e-05 8.1764236e-05 8.9435607e-02]\n  [9.2370850e-01 1.3930504e-05 5.2569369e-05 7.6225035e-02]\n  [9.1977859e-01 1.5919886e-05 6.3700500e-05 8.0141760e-02]\n  [9.1360313e-01 1.6432932e-05 6.8445675e-05 8.6312033e-02]]]\nPredicted mask after argmax for 2008_001550: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001550 has shape: (366, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001550. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001592.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001592: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65655625e-01 2.50100084e-06 5.02166313e-06 3.43367755e-02]\n  [9.79557931e-01 1.24714647e-08 2.31536585e-08 2.04420052e-02]\n  [9.83171284e-01 2.05974593e-09 6.44258069e-09 1.68287884e-02]\n  [9.81805265e-01 2.05744133e-09 8.74518857e-09 1.81947313e-02]\n  [9.81015325e-01 1.55549573e-09 7.94295740e-09 1.89846959e-02]]\n\n [[9.88136828e-01 2.83923507e-09 1.16798384e-08 1.18631264e-02]\n  [9.86529112e-01 2.86394671e-12 1.25538312e-11 1.34708425e-02]\n  [9.82881784e-01 6.94126939e-13 6.42065654e-12 1.71182118e-02]\n  [9.79116261e-01 1.53768545e-12 2.27465182e-11 2.08837073e-02]\n  [9.77691174e-01 1.18912302e-12 2.52056015e-11 2.23088060e-02]]\n\n [[9.94979799e-01 1.23196897e-10 7.98421440e-10 5.02014486e-03]\n  [9.93542671e-01 9.09254022e-14 7.87212418e-13 6.45729154e-03]\n  [9.90042388e-01 3.43483752e-14 9.86782379e-13 9.95767396e-03]\n  [9.83398139e-01 1.30870209e-13 6.33155551e-12 1.66019276e-02]\n  [9.82757926e-01 8.37640504e-14 5.91525613e-12 1.72420740e-02]]\n\n ...\n\n [[9.21754420e-01 1.14648719e-05 3.72867689e-05 7.81968161e-02]\n  [9.12900388e-01 2.38552957e-07 1.22069287e-06 8.70981365e-02]\n  [9.14777160e-01 1.00330958e-07 8.14273847e-07 8.52219760e-02]\n  [9.13625538e-01 1.50793269e-07 1.39776080e-06 8.63729045e-02]\n  [9.11663532e-01 1.87675766e-07 1.72149964e-06 8.83345827e-02]]\n\n [[9.09699142e-01 2.65195886e-05 8.07539764e-05 9.01934579e-02]\n  [9.08783317e-01 6.84887937e-07 2.94974416e-06 9.12131369e-02]\n  [9.15584385e-01 3.29756489e-07 2.12115697e-06 8.44132453e-02]\n  [9.07659709e-01 5.10540019e-07 3.58363422e-06 9.23362225e-02]\n  [9.01040077e-01 6.61706679e-07 4.96717485e-06 9.89543721e-02]]\n\n [[8.69871736e-01 4.01324913e-04 1.00584293e-03 1.28721148e-01]\n  [9.10957754e-01 3.24313587e-05 9.43315608e-05 8.89154673e-02]\n  [9.18663144e-01 2.58258551e-05 8.22159636e-05 8.12287405e-02]\n  [9.09688711e-01 3.94546478e-05 1.29959386e-04 9.01419297e-02]\n  [8.97144020e-01 5.33141902e-05 1.77919836e-04 1.02624647e-01]]]\nPredicted mask after argmax for 2008_001592: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001592 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001592. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001592.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001592: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65655625e-01 2.50100084e-06 5.02166313e-06 3.43367755e-02]\n  [9.79557931e-01 1.24714647e-08 2.31536585e-08 2.04420052e-02]\n  [9.83171284e-01 2.05974593e-09 6.44258069e-09 1.68287884e-02]\n  [9.81805265e-01 2.05744133e-09 8.74518857e-09 1.81947313e-02]\n  [9.81015325e-01 1.55549573e-09 7.94295740e-09 1.89846959e-02]]\n\n [[9.88136828e-01 2.83923507e-09 1.16798384e-08 1.18631264e-02]\n  [9.86529112e-01 2.86394671e-12 1.25538312e-11 1.34708425e-02]\n  [9.82881784e-01 6.94126939e-13 6.42065654e-12 1.71182118e-02]\n  [9.79116261e-01 1.53768545e-12 2.27465182e-11 2.08837073e-02]\n  [9.77691174e-01 1.18912302e-12 2.52056015e-11 2.23088060e-02]]\n\n [[9.94979799e-01 1.23196897e-10 7.98421440e-10 5.02014486e-03]\n  [9.93542671e-01 9.09254022e-14 7.87212418e-13 6.45729154e-03]\n  [9.90042388e-01 3.43483752e-14 9.86782379e-13 9.95767396e-03]\n  [9.83398139e-01 1.30870209e-13 6.33155551e-12 1.66019276e-02]\n  [9.82757926e-01 8.37640504e-14 5.91525613e-12 1.72420740e-02]]\n\n ...\n\n [[9.21754420e-01 1.14648719e-05 3.72867689e-05 7.81968161e-02]\n  [9.12900388e-01 2.38552957e-07 1.22069287e-06 8.70981365e-02]\n  [9.14777160e-01 1.00330958e-07 8.14273847e-07 8.52219760e-02]\n  [9.13625538e-01 1.50793269e-07 1.39776080e-06 8.63729045e-02]\n  [9.11663532e-01 1.87675766e-07 1.72149964e-06 8.83345827e-02]]\n\n [[9.09699142e-01 2.65195886e-05 8.07539764e-05 9.01934579e-02]\n  [9.08783317e-01 6.84887937e-07 2.94974416e-06 9.12131369e-02]\n  [9.15584385e-01 3.29756489e-07 2.12115697e-06 8.44132453e-02]\n  [9.07659709e-01 5.10540019e-07 3.58363422e-06 9.23362225e-02]\n  [9.01040077e-01 6.61706679e-07 4.96717485e-06 9.89543721e-02]]\n\n [[8.69871736e-01 4.01324913e-04 1.00584293e-03 1.28721148e-01]\n  [9.10957754e-01 3.24313587e-05 9.43315608e-05 8.89154673e-02]\n  [9.18663144e-01 2.58258551e-05 8.22159636e-05 8.12287405e-02]\n  [9.09688711e-01 3.94546478e-05 1.29959386e-04 9.01419297e-02]\n  [8.97144020e-01 5.33141902e-05 1.77919836e-04 1.02624647e-01]]]\nPredicted mask after argmax for 2008_001592: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001592 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001592. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001592.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001592: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65655625e-01 2.50100084e-06 5.02166313e-06 3.43367755e-02]\n  [9.79557931e-01 1.24714647e-08 2.31536585e-08 2.04420052e-02]\n  [9.83171284e-01 2.05974593e-09 6.44258069e-09 1.68287884e-02]\n  [9.81805265e-01 2.05744133e-09 8.74518857e-09 1.81947313e-02]\n  [9.81015325e-01 1.55549573e-09 7.94295740e-09 1.89846959e-02]]\n\n [[9.88136828e-01 2.83923507e-09 1.16798384e-08 1.18631264e-02]\n  [9.86529112e-01 2.86394671e-12 1.25538312e-11 1.34708425e-02]\n  [9.82881784e-01 6.94126939e-13 6.42065654e-12 1.71182118e-02]\n  [9.79116261e-01 1.53768545e-12 2.27465182e-11 2.08837073e-02]\n  [9.77691174e-01 1.18912302e-12 2.52056015e-11 2.23088060e-02]]\n\n [[9.94979799e-01 1.23196897e-10 7.98421440e-10 5.02014486e-03]\n  [9.93542671e-01 9.09254022e-14 7.87212418e-13 6.45729154e-03]\n  [9.90042388e-01 3.43483752e-14 9.86782379e-13 9.95767396e-03]\n  [9.83398139e-01 1.30870209e-13 6.33155551e-12 1.66019276e-02]\n  [9.82757926e-01 8.37640504e-14 5.91525613e-12 1.72420740e-02]]\n\n ...\n\n [[9.21754420e-01 1.14648719e-05 3.72867689e-05 7.81968161e-02]\n  [9.12900388e-01 2.38552957e-07 1.22069287e-06 8.70981365e-02]\n  [9.14777160e-01 1.00330958e-07 8.14273847e-07 8.52219760e-02]\n  [9.13625538e-01 1.50793269e-07 1.39776080e-06 8.63729045e-02]\n  [9.11663532e-01 1.87675766e-07 1.72149964e-06 8.83345827e-02]]\n\n [[9.09699142e-01 2.65195886e-05 8.07539764e-05 9.01934579e-02]\n  [9.08783317e-01 6.84887937e-07 2.94974416e-06 9.12131369e-02]\n  [9.15584385e-01 3.29756489e-07 2.12115697e-06 8.44132453e-02]\n  [9.07659709e-01 5.10540019e-07 3.58363422e-06 9.23362225e-02]\n  [9.01040077e-01 6.61706679e-07 4.96717485e-06 9.89543721e-02]]\n\n [[8.69871736e-01 4.01324913e-04 1.00584293e-03 1.28721148e-01]\n  [9.10957754e-01 3.24313587e-05 9.43315608e-05 8.89154673e-02]\n  [9.18663144e-01 2.58258551e-05 8.22159636e-05 8.12287405e-02]\n  [9.09688711e-01 3.94546478e-05 1.29959386e-04 9.01419297e-02]\n  [8.97144020e-01 5.33141902e-05 1.77919836e-04 1.02624647e-01]]]\nPredicted mask after argmax for 2008_001592: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001592 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001592. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001592.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001592: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65655625e-01 2.50100084e-06 5.02166313e-06 3.43367755e-02]\n  [9.79557931e-01 1.24714647e-08 2.31536585e-08 2.04420052e-02]\n  [9.83171284e-01 2.05974593e-09 6.44258069e-09 1.68287884e-02]\n  [9.81805265e-01 2.05744133e-09 8.74518857e-09 1.81947313e-02]\n  [9.81015325e-01 1.55549573e-09 7.94295740e-09 1.89846959e-02]]\n\n [[9.88136828e-01 2.83923507e-09 1.16798384e-08 1.18631264e-02]\n  [9.86529112e-01 2.86394671e-12 1.25538312e-11 1.34708425e-02]\n  [9.82881784e-01 6.94126939e-13 6.42065654e-12 1.71182118e-02]\n  [9.79116261e-01 1.53768545e-12 2.27465182e-11 2.08837073e-02]\n  [9.77691174e-01 1.18912302e-12 2.52056015e-11 2.23088060e-02]]\n\n [[9.94979799e-01 1.23196897e-10 7.98421440e-10 5.02014486e-03]\n  [9.93542671e-01 9.09254022e-14 7.87212418e-13 6.45729154e-03]\n  [9.90042388e-01 3.43483752e-14 9.86782379e-13 9.95767396e-03]\n  [9.83398139e-01 1.30870209e-13 6.33155551e-12 1.66019276e-02]\n  [9.82757926e-01 8.37640504e-14 5.91525613e-12 1.72420740e-02]]\n\n ...\n\n [[9.21754420e-01 1.14648719e-05 3.72867689e-05 7.81968161e-02]\n  [9.12900388e-01 2.38552957e-07 1.22069287e-06 8.70981365e-02]\n  [9.14777160e-01 1.00330958e-07 8.14273847e-07 8.52219760e-02]\n  [9.13625538e-01 1.50793269e-07 1.39776080e-06 8.63729045e-02]\n  [9.11663532e-01 1.87675766e-07 1.72149964e-06 8.83345827e-02]]\n\n [[9.09699142e-01 2.65195886e-05 8.07539764e-05 9.01934579e-02]\n  [9.08783317e-01 6.84887937e-07 2.94974416e-06 9.12131369e-02]\n  [9.15584385e-01 3.29756489e-07 2.12115697e-06 8.44132453e-02]\n  [9.07659709e-01 5.10540019e-07 3.58363422e-06 9.23362225e-02]\n  [9.01040077e-01 6.61706679e-07 4.96717485e-06 9.89543721e-02]]\n\n [[8.69871736e-01 4.01324913e-04 1.00584293e-03 1.28721148e-01]\n  [9.10957754e-01 3.24313587e-05 9.43315608e-05 8.89154673e-02]\n  [9.18663144e-01 2.58258551e-05 8.22159636e-05 8.12287405e-02]\n  [9.09688711e-01 3.94546478e-05 1.29959386e-04 9.01419297e-02]\n  [8.97144020e-01 5.33141902e-05 1.77919836e-04 1.02624647e-01]]]\nPredicted mask after argmax for 2008_001592: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001592 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001592. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001601.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001601: (1, 256, 256, 4)\nSome predicted mask values: [[[9.16773200e-01 8.95866688e-05 1.49192187e-04 8.29879642e-02]\n  [9.41794217e-01 1.74889487e-06 3.13621945e-06 5.82008846e-02]\n  [9.48973536e-01 4.57969719e-07 1.20273057e-06 5.10247350e-02]\n  [9.47203577e-01 4.58649993e-07 1.44800754e-06 5.27945720e-02]\n  [9.45754945e-01 3.85160178e-07 1.35860353e-06 5.42434119e-02]]\n\n [[9.60619092e-01 6.52657604e-07 1.90342996e-06 3.93783040e-02]\n  [9.58260655e-01 3.82901710e-09 1.29158746e-08 4.17393222e-02]\n  [9.54552054e-01 1.05701936e-09 6.43508802e-09 4.54479344e-02]\n  [9.49065626e-01 1.64870928e-09 1.37570568e-08 5.09343185e-02]\n  [9.47440207e-01 1.36011402e-09 1.43034464e-08 5.25598302e-02]]\n\n [[9.77369010e-01 7.69007897e-08 3.16474114e-07 2.26304810e-02]\n  [9.73820329e-01 3.34118372e-10 1.85552895e-09 2.61797272e-02]\n  [9.67543304e-01 1.14171651e-10 1.50012636e-09 3.24567035e-02]\n  [9.59174395e-01 2.01880290e-10 3.83003051e-09 4.08256613e-02]\n  [9.58548307e-01 1.45006396e-10 3.49088691e-09 4.14517373e-02]]\n\n ...\n\n [[8.95018101e-01 3.68715373e-05 1.13059767e-04 1.04831934e-01]\n  [8.94380331e-01 7.84969188e-07 4.02131764e-06 1.05614856e-01]\n  [9.03163016e-01 2.06530984e-07 1.63767504e-06 9.68351066e-02]\n  [9.10615265e-01 1.53033639e-07 1.47044409e-06 8.93830955e-02]\n  [9.15376604e-01 1.09177449e-07 1.14254783e-06 8.46222118e-02]]\n\n [[8.75481427e-01 9.29880043e-05 2.68334756e-04 1.24157332e-01]\n  [8.84822190e-01 2.55326313e-06 1.09993771e-05 1.15164317e-01]\n  [9.01493609e-01 7.12831991e-07 4.42681130e-06 9.85012427e-02]\n  [9.04641867e-01 5.09589881e-07 3.70129965e-06 9.53539610e-02]\n  [9.08969045e-01 3.36772331e-07 2.81971461e-06 9.10278559e-02]]\n\n [[8.33061874e-01 1.10664556e-03 2.60725641e-03 1.63224354e-01]\n  [8.86532843e-01 1.04142768e-04 2.88012321e-04 1.13075092e-01]\n  [9.04043138e-01 5.32390877e-05 1.66941390e-04 9.57366824e-02]\n  [9.06324923e-01 4.64030745e-05 1.56385475e-04 9.34724510e-02]\n  [9.06151652e-01 3.76329954e-05 1.33265145e-04 9.36775208e-02]]]\nPredicted mask after argmax for 2008_001601: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001601 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001601. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001601.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001601: (1, 256, 256, 4)\nSome predicted mask values: [[[9.16773200e-01 8.95866688e-05 1.49192187e-04 8.29879642e-02]\n  [9.41794217e-01 1.74889487e-06 3.13621945e-06 5.82008846e-02]\n  [9.48973536e-01 4.57969719e-07 1.20273057e-06 5.10247350e-02]\n  [9.47203577e-01 4.58649993e-07 1.44800754e-06 5.27945720e-02]\n  [9.45754945e-01 3.85160178e-07 1.35860353e-06 5.42434119e-02]]\n\n [[9.60619092e-01 6.52657604e-07 1.90342996e-06 3.93783040e-02]\n  [9.58260655e-01 3.82901710e-09 1.29158746e-08 4.17393222e-02]\n  [9.54552054e-01 1.05701936e-09 6.43508802e-09 4.54479344e-02]\n  [9.49065626e-01 1.64870928e-09 1.37570568e-08 5.09343185e-02]\n  [9.47440207e-01 1.36011402e-09 1.43034464e-08 5.25598302e-02]]\n\n [[9.77369010e-01 7.69007897e-08 3.16474114e-07 2.26304810e-02]\n  [9.73820329e-01 3.34118372e-10 1.85552895e-09 2.61797272e-02]\n  [9.67543304e-01 1.14171651e-10 1.50012636e-09 3.24567035e-02]\n  [9.59174395e-01 2.01880290e-10 3.83003051e-09 4.08256613e-02]\n  [9.58548307e-01 1.45006396e-10 3.49088691e-09 4.14517373e-02]]\n\n ...\n\n [[8.95018101e-01 3.68715373e-05 1.13059767e-04 1.04831934e-01]\n  [8.94380331e-01 7.84969188e-07 4.02131764e-06 1.05614856e-01]\n  [9.03163016e-01 2.06530984e-07 1.63767504e-06 9.68351066e-02]\n  [9.10615265e-01 1.53033639e-07 1.47044409e-06 8.93830955e-02]\n  [9.15376604e-01 1.09177449e-07 1.14254783e-06 8.46222118e-02]]\n\n [[8.75481427e-01 9.29880043e-05 2.68334756e-04 1.24157332e-01]\n  [8.84822190e-01 2.55326313e-06 1.09993771e-05 1.15164317e-01]\n  [9.01493609e-01 7.12831991e-07 4.42681130e-06 9.85012427e-02]\n  [9.04641867e-01 5.09589881e-07 3.70129965e-06 9.53539610e-02]\n  [9.08969045e-01 3.36772331e-07 2.81971461e-06 9.10278559e-02]]\n\n [[8.33061874e-01 1.10664556e-03 2.60725641e-03 1.63224354e-01]\n  [8.86532843e-01 1.04142768e-04 2.88012321e-04 1.13075092e-01]\n  [9.04043138e-01 5.32390877e-05 1.66941390e-04 9.57366824e-02]\n  [9.06324923e-01 4.64030745e-05 1.56385475e-04 9.34724510e-02]\n  [9.06151652e-01 3.76329954e-05 1.33265145e-04 9.36775208e-02]]]\nPredicted mask after argmax for 2008_001601: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001601 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001601. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001601.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001601: (1, 256, 256, 4)\nSome predicted mask values: [[[9.16773200e-01 8.95866688e-05 1.49192187e-04 8.29879642e-02]\n  [9.41794217e-01 1.74889487e-06 3.13621945e-06 5.82008846e-02]\n  [9.48973536e-01 4.57969719e-07 1.20273057e-06 5.10247350e-02]\n  [9.47203577e-01 4.58649993e-07 1.44800754e-06 5.27945720e-02]\n  [9.45754945e-01 3.85160178e-07 1.35860353e-06 5.42434119e-02]]\n\n [[9.60619092e-01 6.52657604e-07 1.90342996e-06 3.93783040e-02]\n  [9.58260655e-01 3.82901710e-09 1.29158746e-08 4.17393222e-02]\n  [9.54552054e-01 1.05701936e-09 6.43508802e-09 4.54479344e-02]\n  [9.49065626e-01 1.64870928e-09 1.37570568e-08 5.09343185e-02]\n  [9.47440207e-01 1.36011402e-09 1.43034464e-08 5.25598302e-02]]\n\n [[9.77369010e-01 7.69007897e-08 3.16474114e-07 2.26304810e-02]\n  [9.73820329e-01 3.34118372e-10 1.85552895e-09 2.61797272e-02]\n  [9.67543304e-01 1.14171651e-10 1.50012636e-09 3.24567035e-02]\n  [9.59174395e-01 2.01880290e-10 3.83003051e-09 4.08256613e-02]\n  [9.58548307e-01 1.45006396e-10 3.49088691e-09 4.14517373e-02]]\n\n ...\n\n [[8.95018101e-01 3.68715373e-05 1.13059767e-04 1.04831934e-01]\n  [8.94380331e-01 7.84969188e-07 4.02131764e-06 1.05614856e-01]\n  [9.03163016e-01 2.06530984e-07 1.63767504e-06 9.68351066e-02]\n  [9.10615265e-01 1.53033639e-07 1.47044409e-06 8.93830955e-02]\n  [9.15376604e-01 1.09177449e-07 1.14254783e-06 8.46222118e-02]]\n\n [[8.75481427e-01 9.29880043e-05 2.68334756e-04 1.24157332e-01]\n  [8.84822190e-01 2.55326313e-06 1.09993771e-05 1.15164317e-01]\n  [9.01493609e-01 7.12831991e-07 4.42681130e-06 9.85012427e-02]\n  [9.04641867e-01 5.09589881e-07 3.70129965e-06 9.53539610e-02]\n  [9.08969045e-01 3.36772331e-07 2.81971461e-06 9.10278559e-02]]\n\n [[8.33061874e-01 1.10664556e-03 2.60725641e-03 1.63224354e-01]\n  [8.86532843e-01 1.04142768e-04 2.88012321e-04 1.13075092e-01]\n  [9.04043138e-01 5.32390877e-05 1.66941390e-04 9.57366824e-02]\n  [9.06324923e-01 4.64030745e-05 1.56385475e-04 9.34724510e-02]\n  [9.06151652e-01 3.76329954e-05 1.33265145e-04 9.36775208e-02]]]\nPredicted mask after argmax for 2008_001601: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001601 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001601. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001601.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001601: (1, 256, 256, 4)\nSome predicted mask values: [[[9.16773200e-01 8.95866688e-05 1.49192187e-04 8.29879642e-02]\n  [9.41794217e-01 1.74889487e-06 3.13621945e-06 5.82008846e-02]\n  [9.48973536e-01 4.57969719e-07 1.20273057e-06 5.10247350e-02]\n  [9.47203577e-01 4.58649993e-07 1.44800754e-06 5.27945720e-02]\n  [9.45754945e-01 3.85160178e-07 1.35860353e-06 5.42434119e-02]]\n\n [[9.60619092e-01 6.52657604e-07 1.90342996e-06 3.93783040e-02]\n  [9.58260655e-01 3.82901710e-09 1.29158746e-08 4.17393222e-02]\n  [9.54552054e-01 1.05701936e-09 6.43508802e-09 4.54479344e-02]\n  [9.49065626e-01 1.64870928e-09 1.37570568e-08 5.09343185e-02]\n  [9.47440207e-01 1.36011402e-09 1.43034464e-08 5.25598302e-02]]\n\n [[9.77369010e-01 7.69007897e-08 3.16474114e-07 2.26304810e-02]\n  [9.73820329e-01 3.34118372e-10 1.85552895e-09 2.61797272e-02]\n  [9.67543304e-01 1.14171651e-10 1.50012636e-09 3.24567035e-02]\n  [9.59174395e-01 2.01880290e-10 3.83003051e-09 4.08256613e-02]\n  [9.58548307e-01 1.45006396e-10 3.49088691e-09 4.14517373e-02]]\n\n ...\n\n [[8.95018101e-01 3.68715373e-05 1.13059767e-04 1.04831934e-01]\n  [8.94380331e-01 7.84969188e-07 4.02131764e-06 1.05614856e-01]\n  [9.03163016e-01 2.06530984e-07 1.63767504e-06 9.68351066e-02]\n  [9.10615265e-01 1.53033639e-07 1.47044409e-06 8.93830955e-02]\n  [9.15376604e-01 1.09177449e-07 1.14254783e-06 8.46222118e-02]]\n\n [[8.75481427e-01 9.29880043e-05 2.68334756e-04 1.24157332e-01]\n  [8.84822190e-01 2.55326313e-06 1.09993771e-05 1.15164317e-01]\n  [9.01493609e-01 7.12831991e-07 4.42681130e-06 9.85012427e-02]\n  [9.04641867e-01 5.09589881e-07 3.70129965e-06 9.53539610e-02]\n  [9.08969045e-01 3.36772331e-07 2.81971461e-06 9.10278559e-02]]\n\n [[8.33061874e-01 1.10664556e-03 2.60725641e-03 1.63224354e-01]\n  [8.86532843e-01 1.04142768e-04 2.88012321e-04 1.13075092e-01]\n  [9.04043138e-01 5.32390877e-05 1.66941390e-04 9.57366824e-02]\n  [9.06324923e-01 4.64030745e-05 1.56385475e-04 9.34724510e-02]\n  [9.06151652e-01 3.76329954e-05 1.33265145e-04 9.36775208e-02]]]\nPredicted mask after argmax for 2008_001601: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001601 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001601. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001610.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001610: (1, 256, 256, 4)\nSome predicted mask values: [[[9.41614866e-01 1.89760358e-05 3.44424552e-05 5.83317205e-02]\n  [9.62293267e-01 1.85971388e-07 3.64806965e-07 3.77061330e-02]\n  [9.67355609e-01 4.09536298e-08 1.25666247e-07 3.26442569e-02]\n  [9.64720130e-01 4.72119908e-08 1.80580514e-07 3.52796279e-02]\n  [9.62175310e-01 4.52124418e-08 1.97776501e-07 3.78244519e-02]]\n\n [[9.75723743e-01 6.01809802e-08 2.08264055e-07 2.42759772e-02]\n  [9.74081635e-01 1.47344151e-10 5.96758087e-10 2.59183086e-02]\n  [9.70956624e-01 3.50597260e-11 2.83585794e-10 2.90433876e-02]\n  [9.66029823e-01 6.87497281e-11 8.07610978e-10 3.39701250e-02]\n  [9.64060426e-01 6.47787102e-11 1.00340458e-09 3.59395109e-02]]\n\n [[9.87587392e-01 4.95495378e-09 2.55478962e-08 1.24125630e-02]\n  [9.85397935e-01 8.52507995e-12 6.19305787e-11 1.46020101e-02]\n  [9.80755091e-01 2.63517463e-12 5.23626698e-11 1.92449689e-02]\n  [9.73956883e-01 6.14229501e-12 1.85384610e-10 2.60431115e-02]\n  [9.73080277e-01 4.82800648e-12 1.91305430e-10 2.69196518e-02]]\n\n ...\n\n [[9.46108341e-01 8.49820140e-07 3.86058673e-06 5.38869649e-02]\n  [9.53243434e-01 3.18898441e-09 2.88828232e-08 4.67565283e-02]\n  [9.54217732e-01 6.95021762e-10 1.09142517e-08 4.57822494e-02]\n  [9.56880331e-01 8.18706047e-10 1.51817190e-08 4.31197360e-02]\n  [9.57240880e-01 8.28210556e-10 1.56879327e-08 4.27591503e-02]]\n\n [[9.33236420e-01 2.90185767e-06 1.22298670e-05 6.67484999e-02]\n  [9.44530427e-01 1.73924946e-08 1.23587284e-07 5.54694496e-02]\n  [9.51069832e-01 4.45958914e-09 5.00662765e-08 4.89302017e-02]\n  [9.49390888e-01 4.98845409e-09 6.48317027e-08 5.06090447e-02]\n  [9.49662566e-01 4.56562965e-09 6.71587799e-08 5.03372550e-02]]\n\n [[8.95754337e-01 1.02362945e-04 3.24133987e-04 1.03819102e-01]\n  [9.37715590e-01 3.65043365e-06 1.40206585e-05 6.22666962e-02]\n  [9.48991418e-01 1.75916693e-06 7.86394503e-06 5.09988181e-02]\n  [9.45718586e-01 2.20397533e-06 1.04441024e-05 5.42687252e-02]\n  [9.41942573e-01 2.27920418e-06 1.13263641e-05 5.80438934e-02]]]\nPredicted mask after argmax for 2008_001610: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001610 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001610. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001610.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001610: (1, 256, 256, 4)\nSome predicted mask values: [[[9.41614866e-01 1.89760358e-05 3.44424552e-05 5.83317205e-02]\n  [9.62293267e-01 1.85971388e-07 3.64806965e-07 3.77061330e-02]\n  [9.67355609e-01 4.09536298e-08 1.25666247e-07 3.26442569e-02]\n  [9.64720130e-01 4.72119908e-08 1.80580514e-07 3.52796279e-02]\n  [9.62175310e-01 4.52124418e-08 1.97776501e-07 3.78244519e-02]]\n\n [[9.75723743e-01 6.01809802e-08 2.08264055e-07 2.42759772e-02]\n  [9.74081635e-01 1.47344151e-10 5.96758087e-10 2.59183086e-02]\n  [9.70956624e-01 3.50597260e-11 2.83585794e-10 2.90433876e-02]\n  [9.66029823e-01 6.87497281e-11 8.07610978e-10 3.39701250e-02]\n  [9.64060426e-01 6.47787102e-11 1.00340458e-09 3.59395109e-02]]\n\n [[9.87587392e-01 4.95495378e-09 2.55478962e-08 1.24125630e-02]\n  [9.85397935e-01 8.52507995e-12 6.19305787e-11 1.46020101e-02]\n  [9.80755091e-01 2.63517463e-12 5.23626698e-11 1.92449689e-02]\n  [9.73956883e-01 6.14229501e-12 1.85384610e-10 2.60431115e-02]\n  [9.73080277e-01 4.82800648e-12 1.91305430e-10 2.69196518e-02]]\n\n ...\n\n [[9.46108341e-01 8.49820140e-07 3.86058673e-06 5.38869649e-02]\n  [9.53243434e-01 3.18898441e-09 2.88828232e-08 4.67565283e-02]\n  [9.54217732e-01 6.95021762e-10 1.09142517e-08 4.57822494e-02]\n  [9.56880331e-01 8.18706047e-10 1.51817190e-08 4.31197360e-02]\n  [9.57240880e-01 8.28210556e-10 1.56879327e-08 4.27591503e-02]]\n\n [[9.33236420e-01 2.90185767e-06 1.22298670e-05 6.67484999e-02]\n  [9.44530427e-01 1.73924946e-08 1.23587284e-07 5.54694496e-02]\n  [9.51069832e-01 4.45958914e-09 5.00662765e-08 4.89302017e-02]\n  [9.49390888e-01 4.98845409e-09 6.48317027e-08 5.06090447e-02]\n  [9.49662566e-01 4.56562965e-09 6.71587799e-08 5.03372550e-02]]\n\n [[8.95754337e-01 1.02362945e-04 3.24133987e-04 1.03819102e-01]\n  [9.37715590e-01 3.65043365e-06 1.40206585e-05 6.22666962e-02]\n  [9.48991418e-01 1.75916693e-06 7.86394503e-06 5.09988181e-02]\n  [9.45718586e-01 2.20397533e-06 1.04441024e-05 5.42687252e-02]\n  [9.41942573e-01 2.27920418e-06 1.13263641e-05 5.80438934e-02]]]\nPredicted mask after argmax for 2008_001610: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001610 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001610. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001610.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001610: (1, 256, 256, 4)\nSome predicted mask values: [[[9.41614866e-01 1.89760358e-05 3.44424552e-05 5.83317205e-02]\n  [9.62293267e-01 1.85971388e-07 3.64806965e-07 3.77061330e-02]\n  [9.67355609e-01 4.09536298e-08 1.25666247e-07 3.26442569e-02]\n  [9.64720130e-01 4.72119908e-08 1.80580514e-07 3.52796279e-02]\n  [9.62175310e-01 4.52124418e-08 1.97776501e-07 3.78244519e-02]]\n\n [[9.75723743e-01 6.01809802e-08 2.08264055e-07 2.42759772e-02]\n  [9.74081635e-01 1.47344151e-10 5.96758087e-10 2.59183086e-02]\n  [9.70956624e-01 3.50597260e-11 2.83585794e-10 2.90433876e-02]\n  [9.66029823e-01 6.87497281e-11 8.07610978e-10 3.39701250e-02]\n  [9.64060426e-01 6.47787102e-11 1.00340458e-09 3.59395109e-02]]\n\n [[9.87587392e-01 4.95495378e-09 2.55478962e-08 1.24125630e-02]\n  [9.85397935e-01 8.52507995e-12 6.19305787e-11 1.46020101e-02]\n  [9.80755091e-01 2.63517463e-12 5.23626698e-11 1.92449689e-02]\n  [9.73956883e-01 6.14229501e-12 1.85384610e-10 2.60431115e-02]\n  [9.73080277e-01 4.82800648e-12 1.91305430e-10 2.69196518e-02]]\n\n ...\n\n [[9.46108341e-01 8.49820140e-07 3.86058673e-06 5.38869649e-02]\n  [9.53243434e-01 3.18898441e-09 2.88828232e-08 4.67565283e-02]\n  [9.54217732e-01 6.95021762e-10 1.09142517e-08 4.57822494e-02]\n  [9.56880331e-01 8.18706047e-10 1.51817190e-08 4.31197360e-02]\n  [9.57240880e-01 8.28210556e-10 1.56879327e-08 4.27591503e-02]]\n\n [[9.33236420e-01 2.90185767e-06 1.22298670e-05 6.67484999e-02]\n  [9.44530427e-01 1.73924946e-08 1.23587284e-07 5.54694496e-02]\n  [9.51069832e-01 4.45958914e-09 5.00662765e-08 4.89302017e-02]\n  [9.49390888e-01 4.98845409e-09 6.48317027e-08 5.06090447e-02]\n  [9.49662566e-01 4.56562965e-09 6.71587799e-08 5.03372550e-02]]\n\n [[8.95754337e-01 1.02362945e-04 3.24133987e-04 1.03819102e-01]\n  [9.37715590e-01 3.65043365e-06 1.40206585e-05 6.22666962e-02]\n  [9.48991418e-01 1.75916693e-06 7.86394503e-06 5.09988181e-02]\n  [9.45718586e-01 2.20397533e-06 1.04441024e-05 5.42687252e-02]\n  [9.41942573e-01 2.27920418e-06 1.13263641e-05 5.80438934e-02]]]\nPredicted mask after argmax for 2008_001610: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001610 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001610. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001610.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001610: (1, 256, 256, 4)\nSome predicted mask values: [[[9.41614866e-01 1.89760358e-05 3.44424552e-05 5.83317205e-02]\n  [9.62293267e-01 1.85971388e-07 3.64806965e-07 3.77061330e-02]\n  [9.67355609e-01 4.09536298e-08 1.25666247e-07 3.26442569e-02]\n  [9.64720130e-01 4.72119908e-08 1.80580514e-07 3.52796279e-02]\n  [9.62175310e-01 4.52124418e-08 1.97776501e-07 3.78244519e-02]]\n\n [[9.75723743e-01 6.01809802e-08 2.08264055e-07 2.42759772e-02]\n  [9.74081635e-01 1.47344151e-10 5.96758087e-10 2.59183086e-02]\n  [9.70956624e-01 3.50597260e-11 2.83585794e-10 2.90433876e-02]\n  [9.66029823e-01 6.87497281e-11 8.07610978e-10 3.39701250e-02]\n  [9.64060426e-01 6.47787102e-11 1.00340458e-09 3.59395109e-02]]\n\n [[9.87587392e-01 4.95495378e-09 2.55478962e-08 1.24125630e-02]\n  [9.85397935e-01 8.52507995e-12 6.19305787e-11 1.46020101e-02]\n  [9.80755091e-01 2.63517463e-12 5.23626698e-11 1.92449689e-02]\n  [9.73956883e-01 6.14229501e-12 1.85384610e-10 2.60431115e-02]\n  [9.73080277e-01 4.82800648e-12 1.91305430e-10 2.69196518e-02]]\n\n ...\n\n [[9.46108341e-01 8.49820140e-07 3.86058673e-06 5.38869649e-02]\n  [9.53243434e-01 3.18898441e-09 2.88828232e-08 4.67565283e-02]\n  [9.54217732e-01 6.95021762e-10 1.09142517e-08 4.57822494e-02]\n  [9.56880331e-01 8.18706047e-10 1.51817190e-08 4.31197360e-02]\n  [9.57240880e-01 8.28210556e-10 1.56879327e-08 4.27591503e-02]]\n\n [[9.33236420e-01 2.90185767e-06 1.22298670e-05 6.67484999e-02]\n  [9.44530427e-01 1.73924946e-08 1.23587284e-07 5.54694496e-02]\n  [9.51069832e-01 4.45958914e-09 5.00662765e-08 4.89302017e-02]\n  [9.49390888e-01 4.98845409e-09 6.48317027e-08 5.06090447e-02]\n  [9.49662566e-01 4.56562965e-09 6.71587799e-08 5.03372550e-02]]\n\n [[8.95754337e-01 1.02362945e-04 3.24133987e-04 1.03819102e-01]\n  [9.37715590e-01 3.65043365e-06 1.40206585e-05 6.22666962e-02]\n  [9.48991418e-01 1.75916693e-06 7.86394503e-06 5.09988181e-02]\n  [9.45718586e-01 2.20397533e-06 1.04441024e-05 5.42687252e-02]\n  [9.41942573e-01 2.27920418e-06 1.13263641e-05 5.80438934e-02]]]\nPredicted mask after argmax for 2008_001610: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001610 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001610. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001640.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001640: (1, 256, 256, 4)\nSome predicted mask values: [[[9.63730276e-01 2.70803662e-06 5.55913812e-06 3.62615101e-02]\n  [9.80268776e-01 9.55883639e-09 1.97649896e-08 1.97312627e-02]\n  [9.85275924e-01 1.03501041e-09 3.49718365e-09 1.47239910e-02]\n  [9.85356271e-01 7.51173290e-10 3.30544947e-09 1.46437725e-02]\n  [9.85714376e-01 4.54149024e-10 2.35235031e-09 1.42856129e-02]]\n\n [[9.86096978e-01 3.96712929e-09 1.67137095e-08 1.39030395e-02]\n  [9.85974491e-01 2.74642028e-12 1.34855469e-11 1.40255159e-02]\n  [9.84495938e-01 3.56145370e-13 3.60683380e-12 1.55040780e-02]\n  [9.82532620e-01 4.84591371e-13 7.55668184e-12 1.74673945e-02]\n  [9.82112765e-01 2.89859255e-13 6.30557542e-12 1.78872496e-02]]\n\n [[9.93695319e-01 2.31866346e-10 1.57349889e-09 6.30467199e-03]\n  [9.92819130e-01 1.15569636e-13 1.17386309e-12 7.18086446e-03]\n  [9.90189970e-01 2.21525492e-14 7.01631515e-13 9.81009565e-03]\n  [9.86209929e-01 4.55010412e-14 2.46454029e-12 1.37900263e-02]\n  [9.86091554e-01 2.41188210e-14 1.85609731e-12 1.39083741e-02]]\n\n ...\n\n [[9.04357851e-01 2.31416125e-05 7.34722416e-05 9.55454111e-02]\n  [9.07713532e-01 4.54957586e-07 2.35976813e-06 9.22837034e-02]\n  [9.07480776e-01 2.17621562e-07 1.59781564e-06 9.25173983e-02]\n  [9.06188846e-01 3.62990022e-07 2.90145795e-06 9.38078985e-02]\n  [9.01326537e-01 5.47932700e-07 4.18211175e-06 9.86687765e-02]]\n\n [[8.88255239e-01 5.86049136e-05 1.74957953e-04 1.11511290e-01]\n  [8.97546530e-01 1.55313739e-06 6.82830023e-06 1.02445073e-01]\n  [9.05781209e-01 7.68850271e-07 4.55867939e-06 9.42135602e-02]\n  [8.97835553e-01 1.17151194e-06 7.31620548e-06 1.02156013e-01]\n  [8.92533600e-01 1.55441774e-06 1.01009337e-05 1.07454754e-01]]\n\n [[8.42434406e-01 8.31123849e-04 1.98387122e-03 1.54750556e-01]\n  [8.89092028e-01 8.06961398e-05 2.20250993e-04 1.10607088e-01]\n  [9.00372922e-01 5.98752304e-05 1.80692572e-04 9.93865132e-02]\n  [8.91288996e-01 8.41303336e-05 2.57884298e-04 1.08368963e-01]\n  [8.80775988e-01 1.05586310e-04 3.23837361e-04 1.18794650e-01]]]\nPredicted mask after argmax for 2008_001640: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001640 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001640. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001640.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001640: (1, 256, 256, 4)\nSome predicted mask values: [[[9.63730276e-01 2.70803662e-06 5.55913812e-06 3.62615101e-02]\n  [9.80268776e-01 9.55883639e-09 1.97649896e-08 1.97312627e-02]\n  [9.85275924e-01 1.03501041e-09 3.49718365e-09 1.47239910e-02]\n  [9.85356271e-01 7.51173290e-10 3.30544947e-09 1.46437725e-02]\n  [9.85714376e-01 4.54149024e-10 2.35235031e-09 1.42856129e-02]]\n\n [[9.86096978e-01 3.96712929e-09 1.67137095e-08 1.39030395e-02]\n  [9.85974491e-01 2.74642028e-12 1.34855469e-11 1.40255159e-02]\n  [9.84495938e-01 3.56145370e-13 3.60683380e-12 1.55040780e-02]\n  [9.82532620e-01 4.84591371e-13 7.55668184e-12 1.74673945e-02]\n  [9.82112765e-01 2.89859255e-13 6.30557542e-12 1.78872496e-02]]\n\n [[9.93695319e-01 2.31866346e-10 1.57349889e-09 6.30467199e-03]\n  [9.92819130e-01 1.15569636e-13 1.17386309e-12 7.18086446e-03]\n  [9.90189970e-01 2.21525492e-14 7.01631515e-13 9.81009565e-03]\n  [9.86209929e-01 4.55010412e-14 2.46454029e-12 1.37900263e-02]\n  [9.86091554e-01 2.41188210e-14 1.85609731e-12 1.39083741e-02]]\n\n ...\n\n [[9.04357851e-01 2.31416125e-05 7.34722416e-05 9.55454111e-02]\n  [9.07713532e-01 4.54957586e-07 2.35976813e-06 9.22837034e-02]\n  [9.07480776e-01 2.17621562e-07 1.59781564e-06 9.25173983e-02]\n  [9.06188846e-01 3.62990022e-07 2.90145795e-06 9.38078985e-02]\n  [9.01326537e-01 5.47932700e-07 4.18211175e-06 9.86687765e-02]]\n\n [[8.88255239e-01 5.86049136e-05 1.74957953e-04 1.11511290e-01]\n  [8.97546530e-01 1.55313739e-06 6.82830023e-06 1.02445073e-01]\n  [9.05781209e-01 7.68850271e-07 4.55867939e-06 9.42135602e-02]\n  [8.97835553e-01 1.17151194e-06 7.31620548e-06 1.02156013e-01]\n  [8.92533600e-01 1.55441774e-06 1.01009337e-05 1.07454754e-01]]\n\n [[8.42434406e-01 8.31123849e-04 1.98387122e-03 1.54750556e-01]\n  [8.89092028e-01 8.06961398e-05 2.20250993e-04 1.10607088e-01]\n  [9.00372922e-01 5.98752304e-05 1.80692572e-04 9.93865132e-02]\n  [8.91288996e-01 8.41303336e-05 2.57884298e-04 1.08368963e-01]\n  [8.80775988e-01 1.05586310e-04 3.23837361e-04 1.18794650e-01]]]\nPredicted mask after argmax for 2008_001640: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001640 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001640. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001640.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001640: (1, 256, 256, 4)\nSome predicted mask values: [[[9.63730276e-01 2.70803662e-06 5.55913812e-06 3.62615101e-02]\n  [9.80268776e-01 9.55883639e-09 1.97649896e-08 1.97312627e-02]\n  [9.85275924e-01 1.03501041e-09 3.49718365e-09 1.47239910e-02]\n  [9.85356271e-01 7.51173290e-10 3.30544947e-09 1.46437725e-02]\n  [9.85714376e-01 4.54149024e-10 2.35235031e-09 1.42856129e-02]]\n\n [[9.86096978e-01 3.96712929e-09 1.67137095e-08 1.39030395e-02]\n  [9.85974491e-01 2.74642028e-12 1.34855469e-11 1.40255159e-02]\n  [9.84495938e-01 3.56145370e-13 3.60683380e-12 1.55040780e-02]\n  [9.82532620e-01 4.84591371e-13 7.55668184e-12 1.74673945e-02]\n  [9.82112765e-01 2.89859255e-13 6.30557542e-12 1.78872496e-02]]\n\n [[9.93695319e-01 2.31866346e-10 1.57349889e-09 6.30467199e-03]\n  [9.92819130e-01 1.15569636e-13 1.17386309e-12 7.18086446e-03]\n  [9.90189970e-01 2.21525492e-14 7.01631515e-13 9.81009565e-03]\n  [9.86209929e-01 4.55010412e-14 2.46454029e-12 1.37900263e-02]\n  [9.86091554e-01 2.41188210e-14 1.85609731e-12 1.39083741e-02]]\n\n ...\n\n [[9.04357851e-01 2.31416125e-05 7.34722416e-05 9.55454111e-02]\n  [9.07713532e-01 4.54957586e-07 2.35976813e-06 9.22837034e-02]\n  [9.07480776e-01 2.17621562e-07 1.59781564e-06 9.25173983e-02]\n  [9.06188846e-01 3.62990022e-07 2.90145795e-06 9.38078985e-02]\n  [9.01326537e-01 5.47932700e-07 4.18211175e-06 9.86687765e-02]]\n\n [[8.88255239e-01 5.86049136e-05 1.74957953e-04 1.11511290e-01]\n  [8.97546530e-01 1.55313739e-06 6.82830023e-06 1.02445073e-01]\n  [9.05781209e-01 7.68850271e-07 4.55867939e-06 9.42135602e-02]\n  [8.97835553e-01 1.17151194e-06 7.31620548e-06 1.02156013e-01]\n  [8.92533600e-01 1.55441774e-06 1.01009337e-05 1.07454754e-01]]\n\n [[8.42434406e-01 8.31123849e-04 1.98387122e-03 1.54750556e-01]\n  [8.89092028e-01 8.06961398e-05 2.20250993e-04 1.10607088e-01]\n  [9.00372922e-01 5.98752304e-05 1.80692572e-04 9.93865132e-02]\n  [8.91288996e-01 8.41303336e-05 2.57884298e-04 1.08368963e-01]\n  [8.80775988e-01 1.05586310e-04 3.23837361e-04 1.18794650e-01]]]\nPredicted mask after argmax for 2008_001640: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001640 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001640. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001640.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001640: (1, 256, 256, 4)\nSome predicted mask values: [[[9.63730276e-01 2.70803662e-06 5.55913812e-06 3.62615101e-02]\n  [9.80268776e-01 9.55883639e-09 1.97649896e-08 1.97312627e-02]\n  [9.85275924e-01 1.03501041e-09 3.49718365e-09 1.47239910e-02]\n  [9.85356271e-01 7.51173290e-10 3.30544947e-09 1.46437725e-02]\n  [9.85714376e-01 4.54149024e-10 2.35235031e-09 1.42856129e-02]]\n\n [[9.86096978e-01 3.96712929e-09 1.67137095e-08 1.39030395e-02]\n  [9.85974491e-01 2.74642028e-12 1.34855469e-11 1.40255159e-02]\n  [9.84495938e-01 3.56145370e-13 3.60683380e-12 1.55040780e-02]\n  [9.82532620e-01 4.84591371e-13 7.55668184e-12 1.74673945e-02]\n  [9.82112765e-01 2.89859255e-13 6.30557542e-12 1.78872496e-02]]\n\n [[9.93695319e-01 2.31866346e-10 1.57349889e-09 6.30467199e-03]\n  [9.92819130e-01 1.15569636e-13 1.17386309e-12 7.18086446e-03]\n  [9.90189970e-01 2.21525492e-14 7.01631515e-13 9.81009565e-03]\n  [9.86209929e-01 4.55010412e-14 2.46454029e-12 1.37900263e-02]\n  [9.86091554e-01 2.41188210e-14 1.85609731e-12 1.39083741e-02]]\n\n ...\n\n [[9.04357851e-01 2.31416125e-05 7.34722416e-05 9.55454111e-02]\n  [9.07713532e-01 4.54957586e-07 2.35976813e-06 9.22837034e-02]\n  [9.07480776e-01 2.17621562e-07 1.59781564e-06 9.25173983e-02]\n  [9.06188846e-01 3.62990022e-07 2.90145795e-06 9.38078985e-02]\n  [9.01326537e-01 5.47932700e-07 4.18211175e-06 9.86687765e-02]]\n\n [[8.88255239e-01 5.86049136e-05 1.74957953e-04 1.11511290e-01]\n  [8.97546530e-01 1.55313739e-06 6.82830023e-06 1.02445073e-01]\n  [9.05781209e-01 7.68850271e-07 4.55867939e-06 9.42135602e-02]\n  [8.97835553e-01 1.17151194e-06 7.31620548e-06 1.02156013e-01]\n  [8.92533600e-01 1.55441774e-06 1.01009337e-05 1.07454754e-01]]\n\n [[8.42434406e-01 8.31123849e-04 1.98387122e-03 1.54750556e-01]\n  [8.89092028e-01 8.06961398e-05 2.20250993e-04 1.10607088e-01]\n  [9.00372922e-01 5.98752304e-05 1.80692572e-04 9.93865132e-02]\n  [8.91288996e-01 8.41303336e-05 2.57884298e-04 1.08368963e-01]\n  [8.80775988e-01 1.05586310e-04 3.23837361e-04 1.18794650e-01]]]\nPredicted mask after argmax for 2008_001640: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001640 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001640. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001645.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001645: (1, 256, 256, 4)\nSome predicted mask values: [[[9.76186633e-01 6.31018509e-07 1.36489007e-06 2.38113683e-02]\n  [9.88127172e-01 1.42935142e-09 2.67078759e-09 1.18728131e-02]\n  [9.91461754e-01 1.11249239e-10 3.49287099e-10 8.53828527e-03]\n  [9.92089748e-01 4.90952730e-11 2.22241128e-10 7.91026279e-03]\n  [9.93098795e-01 1.56840409e-11 8.84304158e-11 6.90123951e-03]]\n\n [[9.92158055e-01 4.34244113e-10 2.01025441e-09 7.84194469e-03]\n  [9.91645157e-01 1.61829073e-13 7.80066062e-13 8.35486967e-03]\n  [9.89494503e-01 1.87860202e-14 1.91437686e-13 1.05055394e-02]\n  [9.88525867e-01 1.85200993e-14 3.31965087e-13 1.14741400e-02]\n  [9.88946140e-01 5.76295425e-15 1.57785433e-13 1.10538593e-02]]\n\n [[9.97004569e-01 1.34463673e-11 1.03281356e-10 2.99548218e-03]\n  [9.96354282e-01 3.86578044e-15 4.03557972e-14 3.64568178e-03]\n  [9.94249701e-01 8.05128004e-16 3.15489076e-14 5.75035857e-03]\n  [9.90925491e-01 1.63463277e-15 1.26283437e-13 9.07457341e-03]\n  [9.90801632e-01 5.75085926e-16 7.32881841e-14 9.19838622e-03]]\n\n ...\n\n [[9.07642722e-01 1.02111653e-05 3.57475583e-05 9.23114643e-02]\n  [9.17090833e-01 9.19792313e-08 6.63309834e-07 8.29083249e-02]\n  [9.27737296e-01 2.14149196e-08 2.27189005e-07 7.22624809e-02]\n  [9.28882897e-01 2.81904331e-08 3.25185624e-07 7.11167231e-02]\n  [9.27972019e-01 3.13518314e-08 3.56988977e-07 7.20276460e-02]]\n\n [[9.02803361e-01 1.57939176e-05 5.48692842e-05 9.71258804e-02]\n  [9.18652773e-01 1.58505429e-07 9.99680765e-07 8.13461542e-02]\n  [9.29000676e-01 4.10376124e-08 3.54654901e-07 7.09989443e-02]\n  [9.29525375e-01 4.90221872e-08 4.75377988e-07 7.04741403e-02]\n  [9.27049220e-01 5.34766578e-08 5.53658140e-07 7.29502663e-02]]\n\n [[8.67868900e-01 2.52787955e-04 7.08284555e-04 1.31170094e-01]\n  [9.18450296e-01 1.20089135e-05 4.00602294e-05 8.14975724e-02]\n  [9.34351981e-01 5.70070779e-06 2.23617008e-05 6.56199828e-02]\n  [9.30114627e-01 7.21845390e-06 2.90462958e-05 6.98490813e-02]\n  [9.24852371e-01 8.20172318e-06 3.36426783e-05 7.51058087e-02]]]\nPredicted mask after argmax for 2008_001645: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001645 has shape: (350, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001645. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001645.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001645: (1, 256, 256, 4)\nSome predicted mask values: [[[9.76186633e-01 6.31018509e-07 1.36489007e-06 2.38113683e-02]\n  [9.88127172e-01 1.42935142e-09 2.67078759e-09 1.18728131e-02]\n  [9.91461754e-01 1.11249239e-10 3.49287099e-10 8.53828527e-03]\n  [9.92089748e-01 4.90952730e-11 2.22241128e-10 7.91026279e-03]\n  [9.93098795e-01 1.56840409e-11 8.84304158e-11 6.90123951e-03]]\n\n [[9.92158055e-01 4.34244113e-10 2.01025441e-09 7.84194469e-03]\n  [9.91645157e-01 1.61829073e-13 7.80066062e-13 8.35486967e-03]\n  [9.89494503e-01 1.87860202e-14 1.91437686e-13 1.05055394e-02]\n  [9.88525867e-01 1.85200993e-14 3.31965087e-13 1.14741400e-02]\n  [9.88946140e-01 5.76295425e-15 1.57785433e-13 1.10538593e-02]]\n\n [[9.97004569e-01 1.34463673e-11 1.03281356e-10 2.99548218e-03]\n  [9.96354282e-01 3.86578044e-15 4.03557972e-14 3.64568178e-03]\n  [9.94249701e-01 8.05128004e-16 3.15489076e-14 5.75035857e-03]\n  [9.90925491e-01 1.63463277e-15 1.26283437e-13 9.07457341e-03]\n  [9.90801632e-01 5.75085926e-16 7.32881841e-14 9.19838622e-03]]\n\n ...\n\n [[9.07642722e-01 1.02111653e-05 3.57475583e-05 9.23114643e-02]\n  [9.17090833e-01 9.19792313e-08 6.63309834e-07 8.29083249e-02]\n  [9.27737296e-01 2.14149196e-08 2.27189005e-07 7.22624809e-02]\n  [9.28882897e-01 2.81904331e-08 3.25185624e-07 7.11167231e-02]\n  [9.27972019e-01 3.13518314e-08 3.56988977e-07 7.20276460e-02]]\n\n [[9.02803361e-01 1.57939176e-05 5.48692842e-05 9.71258804e-02]\n  [9.18652773e-01 1.58505429e-07 9.99680765e-07 8.13461542e-02]\n  [9.29000676e-01 4.10376124e-08 3.54654901e-07 7.09989443e-02]\n  [9.29525375e-01 4.90221872e-08 4.75377988e-07 7.04741403e-02]\n  [9.27049220e-01 5.34766578e-08 5.53658140e-07 7.29502663e-02]]\n\n [[8.67868900e-01 2.52787955e-04 7.08284555e-04 1.31170094e-01]\n  [9.18450296e-01 1.20089135e-05 4.00602294e-05 8.14975724e-02]\n  [9.34351981e-01 5.70070779e-06 2.23617008e-05 6.56199828e-02]\n  [9.30114627e-01 7.21845390e-06 2.90462958e-05 6.98490813e-02]\n  [9.24852371e-01 8.20172318e-06 3.36426783e-05 7.51058087e-02]]]\nPredicted mask after argmax for 2008_001645: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001645 has shape: (350, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001645. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001653.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001653: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9801695e-01 1.8721712e-11 7.6742682e-11 1.9829932e-03]\n  [9.9959552e-01 1.3010397e-16 4.8503335e-16 4.0437659e-04]\n  [9.9982786e-01 4.6029815e-19 3.9077232e-18 1.7210520e-04]\n  [9.9987411e-01 5.2191846e-20 7.7127530e-19 1.2588501e-04]\n  [9.9991333e-01 5.6444931e-21 1.1019687e-19 8.6666187e-05]]\n\n [[9.9964631e-01 9.2349196e-17 1.3493392e-15 3.5368008e-04]\n  [9.9974304e-01 2.1021250e-23 3.9734156e-22 2.5690769e-04]\n  [9.9972373e-01 9.3368338e-26 6.1816675e-24 2.7621316e-04]\n  [9.9972337e-01 3.2473810e-26 5.2271336e-24 2.7666549e-04]\n  [9.9976212e-01 3.0015844e-27 9.3465699e-25 2.3793138e-04]]\n\n [[9.9993432e-01 3.2138019e-19 1.1836648e-17 6.5702545e-05]\n  [9.9994290e-01 4.0060902e-26 3.2623404e-24 5.7106616e-05]\n  [9.9990022e-01 4.3800780e-28 3.2059933e-25 9.9754368e-05]\n  [9.9983799e-01 3.9643029e-28 9.8252429e-25 1.6194586e-04]\n  [9.9985123e-01 3.7604829e-29 2.3029986e-25 1.4869166e-04]]\n\n ...\n\n [[9.4752741e-01 1.2011044e-07 8.1430034e-07 5.2471653e-02]\n  [9.7005433e-01 1.6446291e-11 4.2928452e-10 2.9945616e-02]\n  [9.8798162e-01 2.8062656e-14 2.4317842e-12 1.2018433e-02]\n  [9.9273008e-01 1.2145239e-15 1.7290718e-13 7.2699604e-03]\n  [9.9512368e-01 8.8766419e-17 1.8581016e-14 4.8762853e-03]]\n\n [[9.4267303e-01 3.5233813e-07 2.0878820e-06 5.7324473e-02]\n  [9.6776408e-01 1.2749496e-10 1.9492801e-09 3.2235950e-02]\n  [9.8402464e-01 9.0856473e-13 3.4307210e-11 1.5975425e-02]\n  [9.8806375e-01 9.9179948e-14 6.0579354e-12 1.1936260e-02]\n  [9.9120891e-01 1.4452523e-14 1.2757482e-12 8.7910583e-03]]\n\n [[9.2106009e-01 1.8992596e-05 8.0469857e-05 7.8840442e-02]\n  [9.6769005e-01 1.0581558e-07 6.5416191e-07 3.2309178e-02]\n  [9.8319066e-01 5.5827867e-09 5.0769863e-08 1.6809415e-02]\n  [9.8610336e-01 1.8987985e-09 2.1458716e-08 1.3896567e-02]\n  [9.8892188e-01 6.6980793e-10 9.4734158e-09 1.1078125e-02]]]\nPredicted mask after argmax for 2008_001653: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001653 has shape: (500, 332)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001653. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001653.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001653: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9801695e-01 1.8721712e-11 7.6742682e-11 1.9829932e-03]\n  [9.9959552e-01 1.3010397e-16 4.8503335e-16 4.0437659e-04]\n  [9.9982786e-01 4.6029815e-19 3.9077232e-18 1.7210520e-04]\n  [9.9987411e-01 5.2191846e-20 7.7127530e-19 1.2588501e-04]\n  [9.9991333e-01 5.6444931e-21 1.1019687e-19 8.6666187e-05]]\n\n [[9.9964631e-01 9.2349196e-17 1.3493392e-15 3.5368008e-04]\n  [9.9974304e-01 2.1021250e-23 3.9734156e-22 2.5690769e-04]\n  [9.9972373e-01 9.3368338e-26 6.1816675e-24 2.7621316e-04]\n  [9.9972337e-01 3.2473810e-26 5.2271336e-24 2.7666549e-04]\n  [9.9976212e-01 3.0015844e-27 9.3465699e-25 2.3793138e-04]]\n\n [[9.9993432e-01 3.2138019e-19 1.1836648e-17 6.5702545e-05]\n  [9.9994290e-01 4.0060902e-26 3.2623404e-24 5.7106616e-05]\n  [9.9990022e-01 4.3800780e-28 3.2059933e-25 9.9754368e-05]\n  [9.9983799e-01 3.9643029e-28 9.8252429e-25 1.6194586e-04]\n  [9.9985123e-01 3.7604829e-29 2.3029986e-25 1.4869166e-04]]\n\n ...\n\n [[9.4752741e-01 1.2011044e-07 8.1430034e-07 5.2471653e-02]\n  [9.7005433e-01 1.6446291e-11 4.2928452e-10 2.9945616e-02]\n  [9.8798162e-01 2.8062656e-14 2.4317842e-12 1.2018433e-02]\n  [9.9273008e-01 1.2145239e-15 1.7290718e-13 7.2699604e-03]\n  [9.9512368e-01 8.8766419e-17 1.8581016e-14 4.8762853e-03]]\n\n [[9.4267303e-01 3.5233813e-07 2.0878820e-06 5.7324473e-02]\n  [9.6776408e-01 1.2749496e-10 1.9492801e-09 3.2235950e-02]\n  [9.8402464e-01 9.0856473e-13 3.4307210e-11 1.5975425e-02]\n  [9.8806375e-01 9.9179948e-14 6.0579354e-12 1.1936260e-02]\n  [9.9120891e-01 1.4452523e-14 1.2757482e-12 8.7910583e-03]]\n\n [[9.2106009e-01 1.8992596e-05 8.0469857e-05 7.8840442e-02]\n  [9.6769005e-01 1.0581558e-07 6.5416191e-07 3.2309178e-02]\n  [9.8319066e-01 5.5827867e-09 5.0769863e-08 1.6809415e-02]\n  [9.8610336e-01 1.8987985e-09 2.1458716e-08 1.3896567e-02]\n  [9.8892188e-01 6.6980793e-10 9.4734158e-09 1.1078125e-02]]]\nPredicted mask after argmax for 2008_001653: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001653 has shape: (500, 332)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001653. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001653.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001653: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9801695e-01 1.8721712e-11 7.6742682e-11 1.9829932e-03]\n  [9.9959552e-01 1.3010397e-16 4.8503335e-16 4.0437659e-04]\n  [9.9982786e-01 4.6029815e-19 3.9077232e-18 1.7210520e-04]\n  [9.9987411e-01 5.2191846e-20 7.7127530e-19 1.2588501e-04]\n  [9.9991333e-01 5.6444931e-21 1.1019687e-19 8.6666187e-05]]\n\n [[9.9964631e-01 9.2349196e-17 1.3493392e-15 3.5368008e-04]\n  [9.9974304e-01 2.1021250e-23 3.9734156e-22 2.5690769e-04]\n  [9.9972373e-01 9.3368338e-26 6.1816675e-24 2.7621316e-04]\n  [9.9972337e-01 3.2473810e-26 5.2271336e-24 2.7666549e-04]\n  [9.9976212e-01 3.0015844e-27 9.3465699e-25 2.3793138e-04]]\n\n [[9.9993432e-01 3.2138019e-19 1.1836648e-17 6.5702545e-05]\n  [9.9994290e-01 4.0060902e-26 3.2623404e-24 5.7106616e-05]\n  [9.9990022e-01 4.3800780e-28 3.2059933e-25 9.9754368e-05]\n  [9.9983799e-01 3.9643029e-28 9.8252429e-25 1.6194586e-04]\n  [9.9985123e-01 3.7604829e-29 2.3029986e-25 1.4869166e-04]]\n\n ...\n\n [[9.4752741e-01 1.2011044e-07 8.1430034e-07 5.2471653e-02]\n  [9.7005433e-01 1.6446291e-11 4.2928452e-10 2.9945616e-02]\n  [9.8798162e-01 2.8062656e-14 2.4317842e-12 1.2018433e-02]\n  [9.9273008e-01 1.2145239e-15 1.7290718e-13 7.2699604e-03]\n  [9.9512368e-01 8.8766419e-17 1.8581016e-14 4.8762853e-03]]\n\n [[9.4267303e-01 3.5233813e-07 2.0878820e-06 5.7324473e-02]\n  [9.6776408e-01 1.2749496e-10 1.9492801e-09 3.2235950e-02]\n  [9.8402464e-01 9.0856473e-13 3.4307210e-11 1.5975425e-02]\n  [9.8806375e-01 9.9179948e-14 6.0579354e-12 1.1936260e-02]\n  [9.9120891e-01 1.4452523e-14 1.2757482e-12 8.7910583e-03]]\n\n [[9.2106009e-01 1.8992596e-05 8.0469857e-05 7.8840442e-02]\n  [9.6769005e-01 1.0581558e-07 6.5416191e-07 3.2309178e-02]\n  [9.8319066e-01 5.5827867e-09 5.0769863e-08 1.6809415e-02]\n  [9.8610336e-01 1.8987985e-09 2.1458716e-08 1.3896567e-02]\n  [9.8892188e-01 6.6980793e-10 9.4734158e-09 1.1078125e-02]]]\nPredicted mask after argmax for 2008_001653: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001653 has shape: (500, 332)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001653. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001653.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001653: (1, 256, 256, 4)\nSome predicted mask values: [[[9.9801695e-01 1.8721712e-11 7.6742682e-11 1.9829932e-03]\n  [9.9959552e-01 1.3010397e-16 4.8503335e-16 4.0437659e-04]\n  [9.9982786e-01 4.6029815e-19 3.9077232e-18 1.7210520e-04]\n  [9.9987411e-01 5.2191846e-20 7.7127530e-19 1.2588501e-04]\n  [9.9991333e-01 5.6444931e-21 1.1019687e-19 8.6666187e-05]]\n\n [[9.9964631e-01 9.2349196e-17 1.3493392e-15 3.5368008e-04]\n  [9.9974304e-01 2.1021250e-23 3.9734156e-22 2.5690769e-04]\n  [9.9972373e-01 9.3368338e-26 6.1816675e-24 2.7621316e-04]\n  [9.9972337e-01 3.2473810e-26 5.2271336e-24 2.7666549e-04]\n  [9.9976212e-01 3.0015844e-27 9.3465699e-25 2.3793138e-04]]\n\n [[9.9993432e-01 3.2138019e-19 1.1836648e-17 6.5702545e-05]\n  [9.9994290e-01 4.0060902e-26 3.2623404e-24 5.7106616e-05]\n  [9.9990022e-01 4.3800780e-28 3.2059933e-25 9.9754368e-05]\n  [9.9983799e-01 3.9643029e-28 9.8252429e-25 1.6194586e-04]\n  [9.9985123e-01 3.7604829e-29 2.3029986e-25 1.4869166e-04]]\n\n ...\n\n [[9.4752741e-01 1.2011044e-07 8.1430034e-07 5.2471653e-02]\n  [9.7005433e-01 1.6446291e-11 4.2928452e-10 2.9945616e-02]\n  [9.8798162e-01 2.8062656e-14 2.4317842e-12 1.2018433e-02]\n  [9.9273008e-01 1.2145239e-15 1.7290718e-13 7.2699604e-03]\n  [9.9512368e-01 8.8766419e-17 1.8581016e-14 4.8762853e-03]]\n\n [[9.4267303e-01 3.5233813e-07 2.0878820e-06 5.7324473e-02]\n  [9.6776408e-01 1.2749496e-10 1.9492801e-09 3.2235950e-02]\n  [9.8402464e-01 9.0856473e-13 3.4307210e-11 1.5975425e-02]\n  [9.8806375e-01 9.9179948e-14 6.0579354e-12 1.1936260e-02]\n  [9.9120891e-01 1.4452523e-14 1.2757482e-12 8.7910583e-03]]\n\n [[9.2106009e-01 1.8992596e-05 8.0469857e-05 7.8840442e-02]\n  [9.6769005e-01 1.0581558e-07 6.5416191e-07 3.2309178e-02]\n  [9.8319066e-01 5.5827867e-09 5.0769863e-08 1.6809415e-02]\n  [9.8610336e-01 1.8987985e-09 2.1458716e-08 1.3896567e-02]\n  [9.8892188e-01 6.6980793e-10 9.4734158e-09 1.1078125e-02]]]\nPredicted mask after argmax for 2008_001653: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001653 has shape: (500, 332)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001653. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001660: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58663106e-01 4.36739356e-06 8.63536752e-06 4.13238965e-02]\n  [9.76574719e-01 1.84784064e-08 3.89084995e-08 2.34253220e-02]\n  [9.81741965e-01 2.19437979e-09 7.75930165e-09 1.82580464e-02]\n  [9.81629252e-01 1.66321079e-09 7.67025998e-09 1.83707252e-02]\n  [9.81966555e-01 9.76623671e-10 5.39586020e-09 1.80334393e-02]]\n\n [[9.84561741e-01 6.28029140e-09 2.55618513e-08 1.54382382e-02]\n  [9.84259129e-01 5.11583354e-12 2.52976078e-11 1.57408994e-02]\n  [9.82872248e-01 6.49472609e-13 7.10356210e-12 1.71278361e-02]\n  [9.80901301e-01 8.69343389e-13 1.47569856e-11 1.90987308e-02]\n  [9.80789721e-01 4.96071934e-13 1.18306745e-11 1.92102697e-02]]\n\n [[9.93215859e-01 3.04250514e-10 1.99108952e-09 6.78411033e-03]\n  [9.92208719e-01 1.52962034e-13 1.57027679e-12 7.79130356e-03]\n  [9.89521384e-01 2.88087188e-14 9.34509197e-13 1.04786390e-02]\n  [9.86151814e-01 5.49967583e-14 3.02135227e-12 1.38480952e-02]\n  [9.86291885e-01 2.89592365e-14 2.24730282e-12 1.37080438e-02]]\n\n ...\n\n [[9.17295754e-01 1.09816956e-05 3.89066190e-05 8.26543793e-02]\n  [9.14996088e-01 1.54626164e-07 9.05006232e-07 8.50029960e-02]\n  [9.24183011e-01 3.75742850e-08 3.70818725e-07 7.58166835e-02]\n  [9.26559865e-01 3.82502883e-08 4.45579673e-07 7.34396502e-02]\n  [9.26837146e-01 4.04835738e-08 4.75684544e-07 7.31624663e-02]]\n\n [[9.00856197e-01 3.22257329e-05 1.02812432e-04 9.90087911e-02]\n  [9.05272603e-01 6.42373379e-07 3.04767900e-06 9.47237611e-02]\n  [9.22414184e-01 1.83506657e-07 1.32643436e-06 7.75842220e-02]\n  [9.20977235e-01 1.87808624e-07 1.52623511e-06 7.90210366e-02]\n  [9.17455018e-01 1.94374635e-07 1.71846193e-06 8.25430006e-02]]\n\n [[8.60341132e-01 5.10958489e-04 1.29332254e-03 1.37854621e-01]\n  [9.08446848e-01 3.75942727e-05 1.11896014e-04 9.14036855e-02]\n  [9.21763659e-01 2.12554442e-05 7.14995040e-05 7.81435594e-02]\n  [9.19392824e-01 2.34661329e-05 8.36522813e-05 8.05000961e-02]\n  [9.12317812e-01 2.60249690e-05 9.52327755e-05 8.75609443e-02]]]\nPredicted mask after argmax for 2008_001660: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001660 has shape: (371, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001660. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001660: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58663106e-01 4.36739356e-06 8.63536752e-06 4.13238965e-02]\n  [9.76574719e-01 1.84784064e-08 3.89084995e-08 2.34253220e-02]\n  [9.81741965e-01 2.19437979e-09 7.75930165e-09 1.82580464e-02]\n  [9.81629252e-01 1.66321079e-09 7.67025998e-09 1.83707252e-02]\n  [9.81966555e-01 9.76623671e-10 5.39586020e-09 1.80334393e-02]]\n\n [[9.84561741e-01 6.28029140e-09 2.55618513e-08 1.54382382e-02]\n  [9.84259129e-01 5.11583354e-12 2.52976078e-11 1.57408994e-02]\n  [9.82872248e-01 6.49472609e-13 7.10356210e-12 1.71278361e-02]\n  [9.80901301e-01 8.69343389e-13 1.47569856e-11 1.90987308e-02]\n  [9.80789721e-01 4.96071934e-13 1.18306745e-11 1.92102697e-02]]\n\n [[9.93215859e-01 3.04250514e-10 1.99108952e-09 6.78411033e-03]\n  [9.92208719e-01 1.52962034e-13 1.57027679e-12 7.79130356e-03]\n  [9.89521384e-01 2.88087188e-14 9.34509197e-13 1.04786390e-02]\n  [9.86151814e-01 5.49967583e-14 3.02135227e-12 1.38480952e-02]\n  [9.86291885e-01 2.89592365e-14 2.24730282e-12 1.37080438e-02]]\n\n ...\n\n [[9.17295754e-01 1.09816956e-05 3.89066190e-05 8.26543793e-02]\n  [9.14996088e-01 1.54626164e-07 9.05006232e-07 8.50029960e-02]\n  [9.24183011e-01 3.75742850e-08 3.70818725e-07 7.58166835e-02]\n  [9.26559865e-01 3.82502883e-08 4.45579673e-07 7.34396502e-02]\n  [9.26837146e-01 4.04835738e-08 4.75684544e-07 7.31624663e-02]]\n\n [[9.00856197e-01 3.22257329e-05 1.02812432e-04 9.90087911e-02]\n  [9.05272603e-01 6.42373379e-07 3.04767900e-06 9.47237611e-02]\n  [9.22414184e-01 1.83506657e-07 1.32643436e-06 7.75842220e-02]\n  [9.20977235e-01 1.87808624e-07 1.52623511e-06 7.90210366e-02]\n  [9.17455018e-01 1.94374635e-07 1.71846193e-06 8.25430006e-02]]\n\n [[8.60341132e-01 5.10958489e-04 1.29332254e-03 1.37854621e-01]\n  [9.08446848e-01 3.75942727e-05 1.11896014e-04 9.14036855e-02]\n  [9.21763659e-01 2.12554442e-05 7.14995040e-05 7.81435594e-02]\n  [9.19392824e-01 2.34661329e-05 8.36522813e-05 8.05000961e-02]\n  [9.12317812e-01 2.60249690e-05 9.52327755e-05 8.75609443e-02]]]\nPredicted mask after argmax for 2008_001660: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001660 has shape: (371, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001660. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001660: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58663106e-01 4.36739356e-06 8.63536752e-06 4.13238965e-02]\n  [9.76574719e-01 1.84784064e-08 3.89084995e-08 2.34253220e-02]\n  [9.81741965e-01 2.19437979e-09 7.75930165e-09 1.82580464e-02]\n  [9.81629252e-01 1.66321079e-09 7.67025998e-09 1.83707252e-02]\n  [9.81966555e-01 9.76623671e-10 5.39586020e-09 1.80334393e-02]]\n\n [[9.84561741e-01 6.28029140e-09 2.55618513e-08 1.54382382e-02]\n  [9.84259129e-01 5.11583354e-12 2.52976078e-11 1.57408994e-02]\n  [9.82872248e-01 6.49472609e-13 7.10356210e-12 1.71278361e-02]\n  [9.80901301e-01 8.69343389e-13 1.47569856e-11 1.90987308e-02]\n  [9.80789721e-01 4.96071934e-13 1.18306745e-11 1.92102697e-02]]\n\n [[9.93215859e-01 3.04250514e-10 1.99108952e-09 6.78411033e-03]\n  [9.92208719e-01 1.52962034e-13 1.57027679e-12 7.79130356e-03]\n  [9.89521384e-01 2.88087188e-14 9.34509197e-13 1.04786390e-02]\n  [9.86151814e-01 5.49967583e-14 3.02135227e-12 1.38480952e-02]\n  [9.86291885e-01 2.89592365e-14 2.24730282e-12 1.37080438e-02]]\n\n ...\n\n [[9.17295754e-01 1.09816956e-05 3.89066190e-05 8.26543793e-02]\n  [9.14996088e-01 1.54626164e-07 9.05006232e-07 8.50029960e-02]\n  [9.24183011e-01 3.75742850e-08 3.70818725e-07 7.58166835e-02]\n  [9.26559865e-01 3.82502883e-08 4.45579673e-07 7.34396502e-02]\n  [9.26837146e-01 4.04835738e-08 4.75684544e-07 7.31624663e-02]]\n\n [[9.00856197e-01 3.22257329e-05 1.02812432e-04 9.90087911e-02]\n  [9.05272603e-01 6.42373379e-07 3.04767900e-06 9.47237611e-02]\n  [9.22414184e-01 1.83506657e-07 1.32643436e-06 7.75842220e-02]\n  [9.20977235e-01 1.87808624e-07 1.52623511e-06 7.90210366e-02]\n  [9.17455018e-01 1.94374635e-07 1.71846193e-06 8.25430006e-02]]\n\n [[8.60341132e-01 5.10958489e-04 1.29332254e-03 1.37854621e-01]\n  [9.08446848e-01 3.75942727e-05 1.11896014e-04 9.14036855e-02]\n  [9.21763659e-01 2.12554442e-05 7.14995040e-05 7.81435594e-02]\n  [9.19392824e-01 2.34661329e-05 8.36522813e-05 8.05000961e-02]\n  [9.12317812e-01 2.60249690e-05 9.52327755e-05 8.75609443e-02]]]\nPredicted mask after argmax for 2008_001660: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001660 has shape: (371, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001660. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001660: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58663106e-01 4.36739356e-06 8.63536752e-06 4.13238965e-02]\n  [9.76574719e-01 1.84784064e-08 3.89084995e-08 2.34253220e-02]\n  [9.81741965e-01 2.19437979e-09 7.75930165e-09 1.82580464e-02]\n  [9.81629252e-01 1.66321079e-09 7.67025998e-09 1.83707252e-02]\n  [9.81966555e-01 9.76623671e-10 5.39586020e-09 1.80334393e-02]]\n\n [[9.84561741e-01 6.28029140e-09 2.55618513e-08 1.54382382e-02]\n  [9.84259129e-01 5.11583354e-12 2.52976078e-11 1.57408994e-02]\n  [9.82872248e-01 6.49472609e-13 7.10356210e-12 1.71278361e-02]\n  [9.80901301e-01 8.69343389e-13 1.47569856e-11 1.90987308e-02]\n  [9.80789721e-01 4.96071934e-13 1.18306745e-11 1.92102697e-02]]\n\n [[9.93215859e-01 3.04250514e-10 1.99108952e-09 6.78411033e-03]\n  [9.92208719e-01 1.52962034e-13 1.57027679e-12 7.79130356e-03]\n  [9.89521384e-01 2.88087188e-14 9.34509197e-13 1.04786390e-02]\n  [9.86151814e-01 5.49967583e-14 3.02135227e-12 1.38480952e-02]\n  [9.86291885e-01 2.89592365e-14 2.24730282e-12 1.37080438e-02]]\n\n ...\n\n [[9.17295754e-01 1.09816956e-05 3.89066190e-05 8.26543793e-02]\n  [9.14996088e-01 1.54626164e-07 9.05006232e-07 8.50029960e-02]\n  [9.24183011e-01 3.75742850e-08 3.70818725e-07 7.58166835e-02]\n  [9.26559865e-01 3.82502883e-08 4.45579673e-07 7.34396502e-02]\n  [9.26837146e-01 4.04835738e-08 4.75684544e-07 7.31624663e-02]]\n\n [[9.00856197e-01 3.22257329e-05 1.02812432e-04 9.90087911e-02]\n  [9.05272603e-01 6.42373379e-07 3.04767900e-06 9.47237611e-02]\n  [9.22414184e-01 1.83506657e-07 1.32643436e-06 7.75842220e-02]\n  [9.20977235e-01 1.87808624e-07 1.52623511e-06 7.90210366e-02]\n  [9.17455018e-01 1.94374635e-07 1.71846193e-06 8.25430006e-02]]\n\n [[8.60341132e-01 5.10958489e-04 1.29332254e-03 1.37854621e-01]\n  [9.08446848e-01 3.75942727e-05 1.11896014e-04 9.14036855e-02]\n  [9.21763659e-01 2.12554442e-05 7.14995040e-05 7.81435594e-02]\n  [9.19392824e-01 2.34661329e-05 8.36522813e-05 8.05000961e-02]\n  [9.12317812e-01 2.60249690e-05 9.52327755e-05 8.75609443e-02]]]\nPredicted mask after argmax for 2008_001660: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001660 has shape: (371, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001660. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001676.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001676: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5734596e-01 6.8550967e-06 1.3081716e-05 4.2634036e-02]\n  [9.7481674e-01 5.0819605e-08 8.6198121e-08 2.5183147e-02]\n  [9.7946036e-01 8.7517353e-09 2.2841730e-08 2.0539638e-02]\n  [9.7865498e-01 7.2901885e-09 2.5086194e-08 2.1345008e-02]\n  [9.7849208e-01 4.9329079e-09 1.9772790e-08 2.1507883e-02]]\n\n [[9.8335487e-01 1.4875183e-08 5.4068522e-08 1.6645126e-02]\n  [9.8181403e-01 2.4847137e-11 9.3260732e-11 1.8185997e-02]\n  [9.7685003e-01 6.5572985e-12 4.5485952e-11 2.3149949e-02]\n  [9.7250187e-01 1.1906642e-11 1.2769462e-10 2.7498053e-02]\n  [9.7085512e-01 8.5415312e-12 1.2509932e-10 2.9144803e-02]]\n\n [[9.9268109e-01 7.1216166e-10 3.9992276e-09 7.3188487e-03]\n  [9.9101937e-01 9.1521680e-13 6.6221564e-12 8.9806234e-03]\n  [9.8619658e-01 3.9839318e-13 8.4325403e-12 1.3803451e-02]\n  [9.7757417e-01 1.3527377e-12 4.6361366e-11 2.2425860e-02]\n  [9.7552675e-01 9.8165031e-13 4.7210236e-11 2.4473298e-02]]\n\n ...\n\n [[9.1151035e-01 9.0354988e-06 3.2370699e-05 8.8448256e-02]\n  [9.1989499e-01 7.6650771e-08 5.5496258e-07 8.0104381e-02]\n  [9.3052268e-01 1.5818792e-08 1.7552061e-07 6.9477089e-02]\n  [9.3400645e-01 1.6533875e-08 2.0519840e-07 6.5993309e-02]\n  [9.3432087e-01 1.6355576e-08 2.0490057e-07 6.5678932e-02]]\n\n [[9.0470976e-01 1.6542712e-05 5.6843321e-05 9.5216960e-02]\n  [9.1884792e-01 1.7827665e-07 1.0624508e-06 8.1150815e-02]\n  [9.3137866e-01 4.3348269e-08 3.6593750e-07 6.8620972e-02]\n  [9.3175530e-01 4.3069953e-08 4.1409956e-07 6.8244189e-02]\n  [9.3137842e-01 4.0566871e-08 4.2598722e-07 6.8621166e-02]]\n\n [[8.7008566e-01 2.6857937e-04 7.3322101e-04 1.2891264e-01]\n  [9.2124909e-01 1.2643645e-05 4.1694457e-05 7.8696527e-02]\n  [9.3709409e-01 5.7171878e-06 2.1708764e-05 6.2878489e-02]\n  [9.3507195e-01 6.2223517e-06 2.4704384e-05 6.4897075e-02]\n  [9.3175399e-01 6.3711418e-06 2.5877771e-05 6.8213820e-02]]]\nPredicted mask after argmax for 2008_001676: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001676 has shape: (500, 496)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001676. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001676.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001676: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5734596e-01 6.8550967e-06 1.3081716e-05 4.2634036e-02]\n  [9.7481674e-01 5.0819605e-08 8.6198121e-08 2.5183147e-02]\n  [9.7946036e-01 8.7517353e-09 2.2841730e-08 2.0539638e-02]\n  [9.7865498e-01 7.2901885e-09 2.5086194e-08 2.1345008e-02]\n  [9.7849208e-01 4.9329079e-09 1.9772790e-08 2.1507883e-02]]\n\n [[9.8335487e-01 1.4875183e-08 5.4068522e-08 1.6645126e-02]\n  [9.8181403e-01 2.4847137e-11 9.3260732e-11 1.8185997e-02]\n  [9.7685003e-01 6.5572985e-12 4.5485952e-11 2.3149949e-02]\n  [9.7250187e-01 1.1906642e-11 1.2769462e-10 2.7498053e-02]\n  [9.7085512e-01 8.5415312e-12 1.2509932e-10 2.9144803e-02]]\n\n [[9.9268109e-01 7.1216166e-10 3.9992276e-09 7.3188487e-03]\n  [9.9101937e-01 9.1521680e-13 6.6221564e-12 8.9806234e-03]\n  [9.8619658e-01 3.9839318e-13 8.4325403e-12 1.3803451e-02]\n  [9.7757417e-01 1.3527377e-12 4.6361366e-11 2.2425860e-02]\n  [9.7552675e-01 9.8165031e-13 4.7210236e-11 2.4473298e-02]]\n\n ...\n\n [[9.1151035e-01 9.0354988e-06 3.2370699e-05 8.8448256e-02]\n  [9.1989499e-01 7.6650771e-08 5.5496258e-07 8.0104381e-02]\n  [9.3052268e-01 1.5818792e-08 1.7552061e-07 6.9477089e-02]\n  [9.3400645e-01 1.6533875e-08 2.0519840e-07 6.5993309e-02]\n  [9.3432087e-01 1.6355576e-08 2.0490057e-07 6.5678932e-02]]\n\n [[9.0470976e-01 1.6542712e-05 5.6843321e-05 9.5216960e-02]\n  [9.1884792e-01 1.7827665e-07 1.0624508e-06 8.1150815e-02]\n  [9.3137866e-01 4.3348269e-08 3.6593750e-07 6.8620972e-02]\n  [9.3175530e-01 4.3069953e-08 4.1409956e-07 6.8244189e-02]\n  [9.3137842e-01 4.0566871e-08 4.2598722e-07 6.8621166e-02]]\n\n [[8.7008566e-01 2.6857937e-04 7.3322101e-04 1.2891264e-01]\n  [9.2124909e-01 1.2643645e-05 4.1694457e-05 7.8696527e-02]\n  [9.3709409e-01 5.7171878e-06 2.1708764e-05 6.2878489e-02]\n  [9.3507195e-01 6.2223517e-06 2.4704384e-05 6.4897075e-02]\n  [9.3175399e-01 6.3711418e-06 2.5877771e-05 6.8213820e-02]]]\nPredicted mask after argmax for 2008_001676: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001676 has shape: (500, 496)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001676. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001682: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68198597e-01 1.32032721e-06 2.87059538e-06 3.17972116e-02]\n  [9.84242022e-01 2.56295363e-09 6.09501027e-09 1.57579426e-02]\n  [9.89007115e-01 1.98341496e-10 7.75755959e-10 1.09928409e-02]\n  [9.89492536e-01 1.31931105e-10 6.52342236e-10 1.05074877e-02]\n  [9.89984035e-01 7.69916284e-11 4.40772890e-10 1.00159878e-02]]\n\n [[9.87865031e-01 1.45954271e-09 6.93637947e-09 1.21349655e-02]\n  [9.88487899e-01 5.07233849e-13 3.03608050e-12 1.15121258e-02]\n  [9.88125443e-01 4.29156866e-14 5.44025491e-13 1.18745361e-02]\n  [9.87014174e-01 5.26880209e-14 1.00015623e-12 1.29858032e-02]\n  [9.86790538e-01 3.06055467e-14 7.99549446e-13 1.32094007e-02]]\n\n [[9.94450271e-01 9.03315478e-11 7.21455229e-10 5.54967951e-03]\n  [9.93991554e-01 2.21666642e-14 2.93521311e-13 6.00841828e-03]\n  [9.92255926e-01 2.71492461e-15 1.14142298e-13 7.74412649e-03]\n  [9.89860475e-01 4.68689757e-15 3.40025669e-13 1.01394998e-02]\n  [9.89726365e-01 2.50993586e-15 2.54829713e-13 1.02735991e-02]]\n\n ...\n\n [[9.39684451e-01 3.52657935e-07 2.12446844e-06 6.03131168e-02]\n  [9.63457644e-01 1.17036061e-10 2.20540008e-09 3.65423113e-02]\n  [9.81980681e-01 7.74434499e-13 3.94369155e-11 1.80193335e-02]\n  [9.87026513e-01 1.09421241e-13 7.87602015e-12 1.29734883e-02]\n  [9.89309549e-01 3.43726749e-14 3.00324913e-12 1.06904898e-02]]\n\n [[9.28469241e-01 1.61582500e-06 8.06369098e-06 7.15210363e-02]\n  [9.55266714e-01 1.73407744e-09 1.88774614e-08 4.47332561e-02]\n  [9.73907948e-01 3.69864174e-11 8.54538496e-10 2.60920133e-02]\n  [9.78102565e-01 9.20456246e-12 3.04050812e-10 2.18974017e-02]\n  [9.80976641e-01 3.70848404e-12 1.56610891e-10 1.90233514e-02]]\n\n [[8.98738921e-01 7.01145109e-05 2.51907099e-04 1.00939095e-01]\n  [9.51238930e-01 9.00078987e-07 4.39389669e-06 4.87557203e-02]\n  [9.70540524e-01 9.86945849e-08 6.55759834e-07 2.94586271e-02]\n  [9.73414302e-01 5.49712347e-08 4.27990074e-07 2.65852604e-02]\n  [9.75328565e-01 3.74418221e-08 3.30841175e-07 2.46710368e-02]]]\nPredicted mask after argmax for 2008_001682: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001682 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001682. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001682: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68198597e-01 1.32032721e-06 2.87059538e-06 3.17972116e-02]\n  [9.84242022e-01 2.56295363e-09 6.09501027e-09 1.57579426e-02]\n  [9.89007115e-01 1.98341496e-10 7.75755959e-10 1.09928409e-02]\n  [9.89492536e-01 1.31931105e-10 6.52342236e-10 1.05074877e-02]\n  [9.89984035e-01 7.69916284e-11 4.40772890e-10 1.00159878e-02]]\n\n [[9.87865031e-01 1.45954271e-09 6.93637947e-09 1.21349655e-02]\n  [9.88487899e-01 5.07233849e-13 3.03608050e-12 1.15121258e-02]\n  [9.88125443e-01 4.29156866e-14 5.44025491e-13 1.18745361e-02]\n  [9.87014174e-01 5.26880209e-14 1.00015623e-12 1.29858032e-02]\n  [9.86790538e-01 3.06055467e-14 7.99549446e-13 1.32094007e-02]]\n\n [[9.94450271e-01 9.03315478e-11 7.21455229e-10 5.54967951e-03]\n  [9.93991554e-01 2.21666642e-14 2.93521311e-13 6.00841828e-03]\n  [9.92255926e-01 2.71492461e-15 1.14142298e-13 7.74412649e-03]\n  [9.89860475e-01 4.68689757e-15 3.40025669e-13 1.01394998e-02]\n  [9.89726365e-01 2.50993586e-15 2.54829713e-13 1.02735991e-02]]\n\n ...\n\n [[9.39684451e-01 3.52657935e-07 2.12446844e-06 6.03131168e-02]\n  [9.63457644e-01 1.17036061e-10 2.20540008e-09 3.65423113e-02]\n  [9.81980681e-01 7.74434499e-13 3.94369155e-11 1.80193335e-02]\n  [9.87026513e-01 1.09421241e-13 7.87602015e-12 1.29734883e-02]\n  [9.89309549e-01 3.43726749e-14 3.00324913e-12 1.06904898e-02]]\n\n [[9.28469241e-01 1.61582500e-06 8.06369098e-06 7.15210363e-02]\n  [9.55266714e-01 1.73407744e-09 1.88774614e-08 4.47332561e-02]\n  [9.73907948e-01 3.69864174e-11 8.54538496e-10 2.60920133e-02]\n  [9.78102565e-01 9.20456246e-12 3.04050812e-10 2.18974017e-02]\n  [9.80976641e-01 3.70848404e-12 1.56610891e-10 1.90233514e-02]]\n\n [[8.98738921e-01 7.01145109e-05 2.51907099e-04 1.00939095e-01]\n  [9.51238930e-01 9.00078987e-07 4.39389669e-06 4.87557203e-02]\n  [9.70540524e-01 9.86945849e-08 6.55759834e-07 2.94586271e-02]\n  [9.73414302e-01 5.49712347e-08 4.27990074e-07 2.65852604e-02]\n  [9.75328565e-01 3.74418221e-08 3.30841175e-07 2.46710368e-02]]]\nPredicted mask after argmax for 2008_001682: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001682 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001682. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001682: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68198597e-01 1.32032721e-06 2.87059538e-06 3.17972116e-02]\n  [9.84242022e-01 2.56295363e-09 6.09501027e-09 1.57579426e-02]\n  [9.89007115e-01 1.98341496e-10 7.75755959e-10 1.09928409e-02]\n  [9.89492536e-01 1.31931105e-10 6.52342236e-10 1.05074877e-02]\n  [9.89984035e-01 7.69916284e-11 4.40772890e-10 1.00159878e-02]]\n\n [[9.87865031e-01 1.45954271e-09 6.93637947e-09 1.21349655e-02]\n  [9.88487899e-01 5.07233849e-13 3.03608050e-12 1.15121258e-02]\n  [9.88125443e-01 4.29156866e-14 5.44025491e-13 1.18745361e-02]\n  [9.87014174e-01 5.26880209e-14 1.00015623e-12 1.29858032e-02]\n  [9.86790538e-01 3.06055467e-14 7.99549446e-13 1.32094007e-02]]\n\n [[9.94450271e-01 9.03315478e-11 7.21455229e-10 5.54967951e-03]\n  [9.93991554e-01 2.21666642e-14 2.93521311e-13 6.00841828e-03]\n  [9.92255926e-01 2.71492461e-15 1.14142298e-13 7.74412649e-03]\n  [9.89860475e-01 4.68689757e-15 3.40025669e-13 1.01394998e-02]\n  [9.89726365e-01 2.50993586e-15 2.54829713e-13 1.02735991e-02]]\n\n ...\n\n [[9.39684451e-01 3.52657935e-07 2.12446844e-06 6.03131168e-02]\n  [9.63457644e-01 1.17036061e-10 2.20540008e-09 3.65423113e-02]\n  [9.81980681e-01 7.74434499e-13 3.94369155e-11 1.80193335e-02]\n  [9.87026513e-01 1.09421241e-13 7.87602015e-12 1.29734883e-02]\n  [9.89309549e-01 3.43726749e-14 3.00324913e-12 1.06904898e-02]]\n\n [[9.28469241e-01 1.61582500e-06 8.06369098e-06 7.15210363e-02]\n  [9.55266714e-01 1.73407744e-09 1.88774614e-08 4.47332561e-02]\n  [9.73907948e-01 3.69864174e-11 8.54538496e-10 2.60920133e-02]\n  [9.78102565e-01 9.20456246e-12 3.04050812e-10 2.18974017e-02]\n  [9.80976641e-01 3.70848404e-12 1.56610891e-10 1.90233514e-02]]\n\n [[8.98738921e-01 7.01145109e-05 2.51907099e-04 1.00939095e-01]\n  [9.51238930e-01 9.00078987e-07 4.39389669e-06 4.87557203e-02]\n  [9.70540524e-01 9.86945849e-08 6.55759834e-07 2.94586271e-02]\n  [9.73414302e-01 5.49712347e-08 4.27990074e-07 2.65852604e-02]\n  [9.75328565e-01 3.74418221e-08 3.30841175e-07 2.46710368e-02]]]\nPredicted mask after argmax for 2008_001682: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001682 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001682. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001682: (1, 256, 256, 4)\nSome predicted mask values: [[[9.68198597e-01 1.32032721e-06 2.87059538e-06 3.17972116e-02]\n  [9.84242022e-01 2.56295363e-09 6.09501027e-09 1.57579426e-02]\n  [9.89007115e-01 1.98341496e-10 7.75755959e-10 1.09928409e-02]\n  [9.89492536e-01 1.31931105e-10 6.52342236e-10 1.05074877e-02]\n  [9.89984035e-01 7.69916284e-11 4.40772890e-10 1.00159878e-02]]\n\n [[9.87865031e-01 1.45954271e-09 6.93637947e-09 1.21349655e-02]\n  [9.88487899e-01 5.07233849e-13 3.03608050e-12 1.15121258e-02]\n  [9.88125443e-01 4.29156866e-14 5.44025491e-13 1.18745361e-02]\n  [9.87014174e-01 5.26880209e-14 1.00015623e-12 1.29858032e-02]\n  [9.86790538e-01 3.06055467e-14 7.99549446e-13 1.32094007e-02]]\n\n [[9.94450271e-01 9.03315478e-11 7.21455229e-10 5.54967951e-03]\n  [9.93991554e-01 2.21666642e-14 2.93521311e-13 6.00841828e-03]\n  [9.92255926e-01 2.71492461e-15 1.14142298e-13 7.74412649e-03]\n  [9.89860475e-01 4.68689757e-15 3.40025669e-13 1.01394998e-02]\n  [9.89726365e-01 2.50993586e-15 2.54829713e-13 1.02735991e-02]]\n\n ...\n\n [[9.39684451e-01 3.52657935e-07 2.12446844e-06 6.03131168e-02]\n  [9.63457644e-01 1.17036061e-10 2.20540008e-09 3.65423113e-02]\n  [9.81980681e-01 7.74434499e-13 3.94369155e-11 1.80193335e-02]\n  [9.87026513e-01 1.09421241e-13 7.87602015e-12 1.29734883e-02]\n  [9.89309549e-01 3.43726749e-14 3.00324913e-12 1.06904898e-02]]\n\n [[9.28469241e-01 1.61582500e-06 8.06369098e-06 7.15210363e-02]\n  [9.55266714e-01 1.73407744e-09 1.88774614e-08 4.47332561e-02]\n  [9.73907948e-01 3.69864174e-11 8.54538496e-10 2.60920133e-02]\n  [9.78102565e-01 9.20456246e-12 3.04050812e-10 2.18974017e-02]\n  [9.80976641e-01 3.70848404e-12 1.56610891e-10 1.90233514e-02]]\n\n [[8.98738921e-01 7.01145109e-05 2.51907099e-04 1.00939095e-01]\n  [9.51238930e-01 9.00078987e-07 4.39389669e-06 4.87557203e-02]\n  [9.70540524e-01 9.86945849e-08 6.55759834e-07 2.94586271e-02]\n  [9.73414302e-01 5.49712347e-08 4.27990074e-07 2.65852604e-02]\n  [9.75328565e-01 3.74418221e-08 3.30841175e-07 2.46710368e-02]]]\nPredicted mask after argmax for 2008_001682: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001682 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001682. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001708.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001708: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83471811e-01 1.57141613e-07 3.64370692e-07 1.65277589e-02]\n  [9.92623329e-01 1.91051383e-10 3.53348378e-10 7.37667270e-03]\n  [9.94787216e-01 1.14564426e-11 3.72038580e-11 5.21276426e-03]\n  [9.95040298e-01 4.26058971e-12 2.13595443e-11 4.95961774e-03]\n  [9.95923996e-01 1.00440305e-12 6.45046213e-12 4.07603197e-03]]\n\n [[9.95222569e-01 5.30756342e-11 2.76057038e-10 4.77732997e-03]\n  [9.94962871e-01 8.11786636e-15 4.24220426e-14 5.03702601e-03]\n  [9.93235052e-01 7.62661901e-16 9.16268827e-15 6.76491763e-03]\n  [9.92344677e-01 6.50229765e-16 1.54147206e-14 7.65531883e-03]\n  [9.92937028e-01 1.38586382e-16 5.36928256e-15 7.06294226e-03]]\n\n [[9.98427570e-01 9.73917561e-13 8.69325618e-12 1.57243526e-03]\n  [9.98137474e-01 1.09956014e-16 1.32140973e-15 1.86247798e-03]\n  [9.96851385e-01 1.84216779e-17 1.00606963e-15 3.14861233e-03]\n  [9.94489431e-01 3.56727396e-17 4.32667648e-15 5.51052252e-03]\n  [9.94667351e-01 7.89199539e-18 1.78388548e-15 5.33260498e-03]]\n\n ...\n\n [[9.40365434e-01 4.10951361e-06 1.47321389e-05 5.96157499e-02]\n  [9.33547437e-01 6.23404048e-08 3.19144362e-07 6.64521605e-02]\n  [9.33225811e-01 2.52822048e-08 2.39077934e-07 6.67740032e-02]\n  [9.30045724e-01 3.77786193e-08 4.14336682e-07 6.99538291e-02]\n  [9.27781105e-01 4.71761297e-08 5.33457467e-07 7.22183585e-02]]\n\n [[9.20694590e-01 1.58264356e-05 5.16758882e-05 7.92378932e-02]\n  [9.20420229e-01 3.28698917e-07 1.44186436e-06 7.95779452e-02]\n  [9.28328454e-01 1.36812119e-07 9.92192099e-07 7.16704950e-02]\n  [9.22863126e-01 1.81372926e-07 1.49598861e-06 7.71351606e-02]\n  [9.17184711e-01 2.17560597e-07 1.94235008e-06 8.28130767e-02]]\n\n [[8.75371158e-01 3.62226157e-04 9.44459112e-04 1.23322189e-01]\n  [9.11983192e-01 2.77802992e-05 8.50771394e-05 8.79039168e-02]\n  [9.20279264e-01 2.01159219e-05 6.94985865e-05 7.96312243e-02]\n  [9.12738919e-01 2.77657982e-05 1.01304402e-04 8.71320814e-02]\n  [9.01374042e-01 3.37609599e-05 1.27398089e-04 9.84647721e-02]]]\nPredicted mask after argmax for 2008_001708: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001708 has shape: (339, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001708. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001708.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001708: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83471811e-01 1.57141613e-07 3.64370692e-07 1.65277589e-02]\n  [9.92623329e-01 1.91051383e-10 3.53348378e-10 7.37667270e-03]\n  [9.94787216e-01 1.14564426e-11 3.72038580e-11 5.21276426e-03]\n  [9.95040298e-01 4.26058971e-12 2.13595443e-11 4.95961774e-03]\n  [9.95923996e-01 1.00440305e-12 6.45046213e-12 4.07603197e-03]]\n\n [[9.95222569e-01 5.30756342e-11 2.76057038e-10 4.77732997e-03]\n  [9.94962871e-01 8.11786636e-15 4.24220426e-14 5.03702601e-03]\n  [9.93235052e-01 7.62661901e-16 9.16268827e-15 6.76491763e-03]\n  [9.92344677e-01 6.50229765e-16 1.54147206e-14 7.65531883e-03]\n  [9.92937028e-01 1.38586382e-16 5.36928256e-15 7.06294226e-03]]\n\n [[9.98427570e-01 9.73917561e-13 8.69325618e-12 1.57243526e-03]\n  [9.98137474e-01 1.09956014e-16 1.32140973e-15 1.86247798e-03]\n  [9.96851385e-01 1.84216779e-17 1.00606963e-15 3.14861233e-03]\n  [9.94489431e-01 3.56727396e-17 4.32667648e-15 5.51052252e-03]\n  [9.94667351e-01 7.89199539e-18 1.78388548e-15 5.33260498e-03]]\n\n ...\n\n [[9.40365434e-01 4.10951361e-06 1.47321389e-05 5.96157499e-02]\n  [9.33547437e-01 6.23404048e-08 3.19144362e-07 6.64521605e-02]\n  [9.33225811e-01 2.52822048e-08 2.39077934e-07 6.67740032e-02]\n  [9.30045724e-01 3.77786193e-08 4.14336682e-07 6.99538291e-02]\n  [9.27781105e-01 4.71761297e-08 5.33457467e-07 7.22183585e-02]]\n\n [[9.20694590e-01 1.58264356e-05 5.16758882e-05 7.92378932e-02]\n  [9.20420229e-01 3.28698917e-07 1.44186436e-06 7.95779452e-02]\n  [9.28328454e-01 1.36812119e-07 9.92192099e-07 7.16704950e-02]\n  [9.22863126e-01 1.81372926e-07 1.49598861e-06 7.71351606e-02]\n  [9.17184711e-01 2.17560597e-07 1.94235008e-06 8.28130767e-02]]\n\n [[8.75371158e-01 3.62226157e-04 9.44459112e-04 1.23322189e-01]\n  [9.11983192e-01 2.77802992e-05 8.50771394e-05 8.79039168e-02]\n  [9.20279264e-01 2.01159219e-05 6.94985865e-05 7.96312243e-02]\n  [9.12738919e-01 2.77657982e-05 1.01304402e-04 8.71320814e-02]\n  [9.01374042e-01 3.37609599e-05 1.27398089e-04 9.84647721e-02]]]\nPredicted mask after argmax for 2008_001708: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001708 has shape: (339, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001708. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001708.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001708: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83471811e-01 1.57141613e-07 3.64370692e-07 1.65277589e-02]\n  [9.92623329e-01 1.91051383e-10 3.53348378e-10 7.37667270e-03]\n  [9.94787216e-01 1.14564426e-11 3.72038580e-11 5.21276426e-03]\n  [9.95040298e-01 4.26058971e-12 2.13595443e-11 4.95961774e-03]\n  [9.95923996e-01 1.00440305e-12 6.45046213e-12 4.07603197e-03]]\n\n [[9.95222569e-01 5.30756342e-11 2.76057038e-10 4.77732997e-03]\n  [9.94962871e-01 8.11786636e-15 4.24220426e-14 5.03702601e-03]\n  [9.93235052e-01 7.62661901e-16 9.16268827e-15 6.76491763e-03]\n  [9.92344677e-01 6.50229765e-16 1.54147206e-14 7.65531883e-03]\n  [9.92937028e-01 1.38586382e-16 5.36928256e-15 7.06294226e-03]]\n\n [[9.98427570e-01 9.73917561e-13 8.69325618e-12 1.57243526e-03]\n  [9.98137474e-01 1.09956014e-16 1.32140973e-15 1.86247798e-03]\n  [9.96851385e-01 1.84216779e-17 1.00606963e-15 3.14861233e-03]\n  [9.94489431e-01 3.56727396e-17 4.32667648e-15 5.51052252e-03]\n  [9.94667351e-01 7.89199539e-18 1.78388548e-15 5.33260498e-03]]\n\n ...\n\n [[9.40365434e-01 4.10951361e-06 1.47321389e-05 5.96157499e-02]\n  [9.33547437e-01 6.23404048e-08 3.19144362e-07 6.64521605e-02]\n  [9.33225811e-01 2.52822048e-08 2.39077934e-07 6.67740032e-02]\n  [9.30045724e-01 3.77786193e-08 4.14336682e-07 6.99538291e-02]\n  [9.27781105e-01 4.71761297e-08 5.33457467e-07 7.22183585e-02]]\n\n [[9.20694590e-01 1.58264356e-05 5.16758882e-05 7.92378932e-02]\n  [9.20420229e-01 3.28698917e-07 1.44186436e-06 7.95779452e-02]\n  [9.28328454e-01 1.36812119e-07 9.92192099e-07 7.16704950e-02]\n  [9.22863126e-01 1.81372926e-07 1.49598861e-06 7.71351606e-02]\n  [9.17184711e-01 2.17560597e-07 1.94235008e-06 8.28130767e-02]]\n\n [[8.75371158e-01 3.62226157e-04 9.44459112e-04 1.23322189e-01]\n  [9.11983192e-01 2.77802992e-05 8.50771394e-05 8.79039168e-02]\n  [9.20279264e-01 2.01159219e-05 6.94985865e-05 7.96312243e-02]\n  [9.12738919e-01 2.77657982e-05 1.01304402e-04 8.71320814e-02]\n  [9.01374042e-01 3.37609599e-05 1.27398089e-04 9.84647721e-02]]]\nPredicted mask after argmax for 2008_001708: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001708 has shape: (339, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001708. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001729.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001729: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8092115e-01 2.3385866e-07 5.5707125e-07 1.9078072e-02]\n  [9.9227858e-01 2.0925574e-10 4.3660581e-10 7.7214083e-03]\n  [9.9531883e-01 7.3346832e-12 2.4886286e-11 4.6812049e-03]\n  [9.9618202e-01 1.7920721e-12 8.6733572e-12 3.8178873e-03]\n  [9.9704862e-01 3.9028364e-13 2.2516323e-12 2.9513412e-03]]\n\n [[9.9334228e-01 1.3236914e-10 7.0181111e-10 6.6576730e-03]\n  [9.9377680e-01 1.5164946e-14 9.0403244e-14 6.2231589e-03]\n  [9.9308139e-01 6.8578350e-16 8.6519401e-15 6.9185817e-03]\n  [9.9316686e-01 3.3334121e-16 7.4921902e-15 6.8331584e-03]\n  [9.9381304e-01 6.6850077e-17 2.2735247e-15 6.1869831e-03]]\n\n [[9.9756408e-01 3.7246972e-12 3.5435530e-11 2.4359135e-03]\n  [9.9739397e-01 3.0108019e-16 4.5059103e-15 2.6060520e-03]\n  [9.9643892e-01 2.1359946e-17 1.3127505e-15 3.5610450e-03]\n  [9.9508303e-01 1.9583503e-17 2.5147275e-15 4.9169692e-03]\n  [9.9536633e-01 4.1308378e-18 9.1197560e-16 4.6337284e-03]]\n\n ...\n\n [[9.0535861e-01 1.7833416e-05 6.0943392e-05 9.4562612e-02]\n  [9.1228777e-01 2.3993059e-07 1.3774121e-06 8.7710597e-02]\n  [9.1943121e-01 6.6937091e-08 6.0737136e-07 8.0568030e-02]\n  [9.2252719e-01 7.1354592e-08 7.5446843e-07 7.7471912e-02]\n  [9.2171121e-01 7.9158802e-08 8.3988408e-07 7.8287825e-02]]\n\n [[8.8725871e-01 5.0434901e-05 1.6015938e-04 1.1253070e-01]\n  [9.0014529e-01 9.6506290e-07 4.7253329e-06 9.9849053e-02]\n  [9.1482532e-01 2.9937161e-07 2.1460201e-06 8.5172184e-02]\n  [9.1270596e-01 3.0475579e-07 2.4136198e-06 8.7291338e-02]\n  [9.1156268e-01 3.0307234e-07 2.6333025e-06 8.8434376e-02]]\n\n [[8.4304965e-01 7.6090003e-04 1.9114345e-03 1.5427803e-01]\n  [8.9195579e-01 6.1446270e-05 1.8384398e-04 1.0779892e-01]\n  [9.0774512e-01 3.4437981e-05 1.2021104e-04 9.2100218e-02]\n  [9.0305287e-01 3.8664341e-05 1.4023110e-04 9.6768163e-02]\n  [8.9667028e-01 4.1167074e-05 1.5308484e-04 1.0313552e-01]]]\nPredicted mask after argmax for 2008_001729: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001729 has shape: (344, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001729. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001729.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001729: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8092115e-01 2.3385866e-07 5.5707125e-07 1.9078072e-02]\n  [9.9227858e-01 2.0925574e-10 4.3660581e-10 7.7214083e-03]\n  [9.9531883e-01 7.3346832e-12 2.4886286e-11 4.6812049e-03]\n  [9.9618202e-01 1.7920721e-12 8.6733572e-12 3.8178873e-03]\n  [9.9704862e-01 3.9028364e-13 2.2516323e-12 2.9513412e-03]]\n\n [[9.9334228e-01 1.3236914e-10 7.0181111e-10 6.6576730e-03]\n  [9.9377680e-01 1.5164946e-14 9.0403244e-14 6.2231589e-03]\n  [9.9308139e-01 6.8578350e-16 8.6519401e-15 6.9185817e-03]\n  [9.9316686e-01 3.3334121e-16 7.4921902e-15 6.8331584e-03]\n  [9.9381304e-01 6.6850077e-17 2.2735247e-15 6.1869831e-03]]\n\n [[9.9756408e-01 3.7246972e-12 3.5435530e-11 2.4359135e-03]\n  [9.9739397e-01 3.0108019e-16 4.5059103e-15 2.6060520e-03]\n  [9.9643892e-01 2.1359946e-17 1.3127505e-15 3.5610450e-03]\n  [9.9508303e-01 1.9583503e-17 2.5147275e-15 4.9169692e-03]\n  [9.9536633e-01 4.1308378e-18 9.1197560e-16 4.6337284e-03]]\n\n ...\n\n [[9.0535861e-01 1.7833416e-05 6.0943392e-05 9.4562612e-02]\n  [9.1228777e-01 2.3993059e-07 1.3774121e-06 8.7710597e-02]\n  [9.1943121e-01 6.6937091e-08 6.0737136e-07 8.0568030e-02]\n  [9.2252719e-01 7.1354592e-08 7.5446843e-07 7.7471912e-02]\n  [9.2171121e-01 7.9158802e-08 8.3988408e-07 7.8287825e-02]]\n\n [[8.8725871e-01 5.0434901e-05 1.6015938e-04 1.1253070e-01]\n  [9.0014529e-01 9.6506290e-07 4.7253329e-06 9.9849053e-02]\n  [9.1482532e-01 2.9937161e-07 2.1460201e-06 8.5172184e-02]\n  [9.1270596e-01 3.0475579e-07 2.4136198e-06 8.7291338e-02]\n  [9.1156268e-01 3.0307234e-07 2.6333025e-06 8.8434376e-02]]\n\n [[8.4304965e-01 7.6090003e-04 1.9114345e-03 1.5427803e-01]\n  [8.9195579e-01 6.1446270e-05 1.8384398e-04 1.0779892e-01]\n  [9.0774512e-01 3.4437981e-05 1.2021104e-04 9.2100218e-02]\n  [9.0305287e-01 3.8664341e-05 1.4023110e-04 9.6768163e-02]\n  [8.9667028e-01 4.1167074e-05 1.5308484e-04 1.0313552e-01]]]\nPredicted mask after argmax for 2008_001729: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001729 has shape: (344, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001729. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001729.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001729: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8092115e-01 2.3385866e-07 5.5707125e-07 1.9078072e-02]\n  [9.9227858e-01 2.0925574e-10 4.3660581e-10 7.7214083e-03]\n  [9.9531883e-01 7.3346832e-12 2.4886286e-11 4.6812049e-03]\n  [9.9618202e-01 1.7920721e-12 8.6733572e-12 3.8178873e-03]\n  [9.9704862e-01 3.9028364e-13 2.2516323e-12 2.9513412e-03]]\n\n [[9.9334228e-01 1.3236914e-10 7.0181111e-10 6.6576730e-03]\n  [9.9377680e-01 1.5164946e-14 9.0403244e-14 6.2231589e-03]\n  [9.9308139e-01 6.8578350e-16 8.6519401e-15 6.9185817e-03]\n  [9.9316686e-01 3.3334121e-16 7.4921902e-15 6.8331584e-03]\n  [9.9381304e-01 6.6850077e-17 2.2735247e-15 6.1869831e-03]]\n\n [[9.9756408e-01 3.7246972e-12 3.5435530e-11 2.4359135e-03]\n  [9.9739397e-01 3.0108019e-16 4.5059103e-15 2.6060520e-03]\n  [9.9643892e-01 2.1359946e-17 1.3127505e-15 3.5610450e-03]\n  [9.9508303e-01 1.9583503e-17 2.5147275e-15 4.9169692e-03]\n  [9.9536633e-01 4.1308378e-18 9.1197560e-16 4.6337284e-03]]\n\n ...\n\n [[9.0535861e-01 1.7833416e-05 6.0943392e-05 9.4562612e-02]\n  [9.1228777e-01 2.3993059e-07 1.3774121e-06 8.7710597e-02]\n  [9.1943121e-01 6.6937091e-08 6.0737136e-07 8.0568030e-02]\n  [9.2252719e-01 7.1354592e-08 7.5446843e-07 7.7471912e-02]\n  [9.2171121e-01 7.9158802e-08 8.3988408e-07 7.8287825e-02]]\n\n [[8.8725871e-01 5.0434901e-05 1.6015938e-04 1.1253070e-01]\n  [9.0014529e-01 9.6506290e-07 4.7253329e-06 9.9849053e-02]\n  [9.1482532e-01 2.9937161e-07 2.1460201e-06 8.5172184e-02]\n  [9.1270596e-01 3.0475579e-07 2.4136198e-06 8.7291338e-02]\n  [9.1156268e-01 3.0307234e-07 2.6333025e-06 8.8434376e-02]]\n\n [[8.4304965e-01 7.6090003e-04 1.9114345e-03 1.5427803e-01]\n  [8.9195579e-01 6.1446270e-05 1.8384398e-04 1.0779892e-01]\n  [9.0774512e-01 3.4437981e-05 1.2021104e-04 9.2100218e-02]\n  [9.0305287e-01 3.8664341e-05 1.4023110e-04 9.6768163e-02]\n  [8.9667028e-01 4.1167074e-05 1.5308484e-04 1.0313552e-01]]]\nPredicted mask after argmax for 2008_001729: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001729 has shape: (344, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001729. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001729.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001729: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8092115e-01 2.3385866e-07 5.5707125e-07 1.9078072e-02]\n  [9.9227858e-01 2.0925574e-10 4.3660581e-10 7.7214083e-03]\n  [9.9531883e-01 7.3346832e-12 2.4886286e-11 4.6812049e-03]\n  [9.9618202e-01 1.7920721e-12 8.6733572e-12 3.8178873e-03]\n  [9.9704862e-01 3.9028364e-13 2.2516323e-12 2.9513412e-03]]\n\n [[9.9334228e-01 1.3236914e-10 7.0181111e-10 6.6576730e-03]\n  [9.9377680e-01 1.5164946e-14 9.0403244e-14 6.2231589e-03]\n  [9.9308139e-01 6.8578350e-16 8.6519401e-15 6.9185817e-03]\n  [9.9316686e-01 3.3334121e-16 7.4921902e-15 6.8331584e-03]\n  [9.9381304e-01 6.6850077e-17 2.2735247e-15 6.1869831e-03]]\n\n [[9.9756408e-01 3.7246972e-12 3.5435530e-11 2.4359135e-03]\n  [9.9739397e-01 3.0108019e-16 4.5059103e-15 2.6060520e-03]\n  [9.9643892e-01 2.1359946e-17 1.3127505e-15 3.5610450e-03]\n  [9.9508303e-01 1.9583503e-17 2.5147275e-15 4.9169692e-03]\n  [9.9536633e-01 4.1308378e-18 9.1197560e-16 4.6337284e-03]]\n\n ...\n\n [[9.0535861e-01 1.7833416e-05 6.0943392e-05 9.4562612e-02]\n  [9.1228777e-01 2.3993059e-07 1.3774121e-06 8.7710597e-02]\n  [9.1943121e-01 6.6937091e-08 6.0737136e-07 8.0568030e-02]\n  [9.2252719e-01 7.1354592e-08 7.5446843e-07 7.7471912e-02]\n  [9.2171121e-01 7.9158802e-08 8.3988408e-07 7.8287825e-02]]\n\n [[8.8725871e-01 5.0434901e-05 1.6015938e-04 1.1253070e-01]\n  [9.0014529e-01 9.6506290e-07 4.7253329e-06 9.9849053e-02]\n  [9.1482532e-01 2.9937161e-07 2.1460201e-06 8.5172184e-02]\n  [9.1270596e-01 3.0475579e-07 2.4136198e-06 8.7291338e-02]\n  [9.1156268e-01 3.0307234e-07 2.6333025e-06 8.8434376e-02]]\n\n [[8.4304965e-01 7.6090003e-04 1.9114345e-03 1.5427803e-01]\n  [8.9195579e-01 6.1446270e-05 1.8384398e-04 1.0779892e-01]\n  [9.0774512e-01 3.4437981e-05 1.2021104e-04 9.2100218e-02]\n  [9.0305287e-01 3.8664341e-05 1.4023110e-04 9.6768163e-02]\n  [8.9667028e-01 4.1167074e-05 1.5308484e-04 1.0313552e-01]]]\nPredicted mask after argmax for 2008_001729: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001729 has shape: (344, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001729. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001741.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001741: (1, 256, 256, 4)\nSome predicted mask values: [[[9.37310457e-01 2.62306839e-05 4.72072606e-05 6.26160949e-02]\n  [9.60050166e-01 2.79616245e-07 5.33013292e-07 3.99490781e-02]\n  [9.66829836e-01 5.62543931e-08 1.61346492e-07 3.31700705e-02]\n  [9.65644062e-01 5.53702755e-08 1.93468153e-07 3.43556441e-02]\n  [9.64561164e-01 4.60818903e-08 1.81681955e-07 3.54386568e-02]]\n\n [[9.71904814e-01 1.15414380e-07 3.84691475e-07 2.80946884e-02]\n  [9.70705748e-01 3.31633665e-10 1.28188804e-09 2.92942729e-02]\n  [9.67861235e-01 7.59014379e-11 5.44824019e-10 3.21387611e-02]\n  [9.63509738e-01 1.26065158e-10 1.26627198e-09 3.64902094e-02]\n  [9.61651921e-01 1.06614287e-10 1.37833223e-09 3.83481123e-02]]\n\n [[9.84844863e-01 1.15395045e-08 5.68620813e-08 1.51551701e-02]\n  [9.82582688e-01 2.44440683e-11 1.70085682e-10 1.74173564e-02]\n  [9.77572918e-01 7.33654370e-12 1.29096830e-10 2.24270355e-02]\n  [9.70332265e-01 1.53275274e-11 4.05184691e-10 2.96677146e-02]\n  [9.69603598e-01 1.10919295e-11 3.77322396e-10 3.03963516e-02]]\n\n ...\n\n [[9.12596405e-01 2.06738405e-05 6.29303904e-05 8.73199999e-02]\n  [9.03459966e-01 5.17209287e-07 2.45825322e-06 9.65369493e-02]\n  [9.04971302e-01 2.29132453e-07 1.65842494e-06 9.50268582e-02]\n  [9.04155970e-01 3.32691059e-07 2.74554463e-06 9.58409756e-02]\n  [9.02140141e-01 3.95990838e-07 3.24209213e-06 9.78561789e-02]]\n\n [[9.01398301e-01 4.19413009e-05 1.20455567e-04 9.84393284e-02]\n  [9.00910079e-01 1.26204316e-06 5.08996891e-06 9.90836173e-02]\n  [9.08638000e-01 6.38477331e-07 3.70647695e-06 9.13576335e-02]\n  [9.01654959e-01 9.55066639e-07 6.00676594e-06 9.83380601e-02]\n  [8.94752502e-01 1.14344346e-06 7.66158064e-06 1.05238654e-01]]\n\n [[8.61696899e-01 5.33111626e-04 1.27910916e-03 1.36490911e-01]\n  [9.04882491e-01 4.71390667e-05 1.30761546e-04 9.49396268e-02]\n  [9.13289309e-01 3.80598358e-05 1.13461727e-04 8.65590796e-02]\n  [9.05986547e-01 5.52637102e-05 1.69751496e-04 9.37884077e-02]\n  [8.95959795e-01 6.73569666e-05 2.09594626e-04 1.03763282e-01]]]\nPredicted mask after argmax for 2008_001741: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001741 has shape: (379, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001741. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001741.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001741: (1, 256, 256, 4)\nSome predicted mask values: [[[9.37310457e-01 2.62306839e-05 4.72072606e-05 6.26160949e-02]\n  [9.60050166e-01 2.79616245e-07 5.33013292e-07 3.99490781e-02]\n  [9.66829836e-01 5.62543931e-08 1.61346492e-07 3.31700705e-02]\n  [9.65644062e-01 5.53702755e-08 1.93468153e-07 3.43556441e-02]\n  [9.64561164e-01 4.60818903e-08 1.81681955e-07 3.54386568e-02]]\n\n [[9.71904814e-01 1.15414380e-07 3.84691475e-07 2.80946884e-02]\n  [9.70705748e-01 3.31633665e-10 1.28188804e-09 2.92942729e-02]\n  [9.67861235e-01 7.59014379e-11 5.44824019e-10 3.21387611e-02]\n  [9.63509738e-01 1.26065158e-10 1.26627198e-09 3.64902094e-02]\n  [9.61651921e-01 1.06614287e-10 1.37833223e-09 3.83481123e-02]]\n\n [[9.84844863e-01 1.15395045e-08 5.68620813e-08 1.51551701e-02]\n  [9.82582688e-01 2.44440683e-11 1.70085682e-10 1.74173564e-02]\n  [9.77572918e-01 7.33654370e-12 1.29096830e-10 2.24270355e-02]\n  [9.70332265e-01 1.53275274e-11 4.05184691e-10 2.96677146e-02]\n  [9.69603598e-01 1.10919295e-11 3.77322396e-10 3.03963516e-02]]\n\n ...\n\n [[9.12596405e-01 2.06738405e-05 6.29303904e-05 8.73199999e-02]\n  [9.03459966e-01 5.17209287e-07 2.45825322e-06 9.65369493e-02]\n  [9.04971302e-01 2.29132453e-07 1.65842494e-06 9.50268582e-02]\n  [9.04155970e-01 3.32691059e-07 2.74554463e-06 9.58409756e-02]\n  [9.02140141e-01 3.95990838e-07 3.24209213e-06 9.78561789e-02]]\n\n [[9.01398301e-01 4.19413009e-05 1.20455567e-04 9.84393284e-02]\n  [9.00910079e-01 1.26204316e-06 5.08996891e-06 9.90836173e-02]\n  [9.08638000e-01 6.38477331e-07 3.70647695e-06 9.13576335e-02]\n  [9.01654959e-01 9.55066639e-07 6.00676594e-06 9.83380601e-02]\n  [8.94752502e-01 1.14344346e-06 7.66158064e-06 1.05238654e-01]]\n\n [[8.61696899e-01 5.33111626e-04 1.27910916e-03 1.36490911e-01]\n  [9.04882491e-01 4.71390667e-05 1.30761546e-04 9.49396268e-02]\n  [9.13289309e-01 3.80598358e-05 1.13461727e-04 8.65590796e-02]\n  [9.05986547e-01 5.52637102e-05 1.69751496e-04 9.37884077e-02]\n  [8.95959795e-01 6.73569666e-05 2.09594626e-04 1.03763282e-01]]]\nPredicted mask after argmax for 2008_001741: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001741 has shape: (379, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001741. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001741.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001741: (1, 256, 256, 4)\nSome predicted mask values: [[[9.37310457e-01 2.62306839e-05 4.72072606e-05 6.26160949e-02]\n  [9.60050166e-01 2.79616245e-07 5.33013292e-07 3.99490781e-02]\n  [9.66829836e-01 5.62543931e-08 1.61346492e-07 3.31700705e-02]\n  [9.65644062e-01 5.53702755e-08 1.93468153e-07 3.43556441e-02]\n  [9.64561164e-01 4.60818903e-08 1.81681955e-07 3.54386568e-02]]\n\n [[9.71904814e-01 1.15414380e-07 3.84691475e-07 2.80946884e-02]\n  [9.70705748e-01 3.31633665e-10 1.28188804e-09 2.92942729e-02]\n  [9.67861235e-01 7.59014379e-11 5.44824019e-10 3.21387611e-02]\n  [9.63509738e-01 1.26065158e-10 1.26627198e-09 3.64902094e-02]\n  [9.61651921e-01 1.06614287e-10 1.37833223e-09 3.83481123e-02]]\n\n [[9.84844863e-01 1.15395045e-08 5.68620813e-08 1.51551701e-02]\n  [9.82582688e-01 2.44440683e-11 1.70085682e-10 1.74173564e-02]\n  [9.77572918e-01 7.33654370e-12 1.29096830e-10 2.24270355e-02]\n  [9.70332265e-01 1.53275274e-11 4.05184691e-10 2.96677146e-02]\n  [9.69603598e-01 1.10919295e-11 3.77322396e-10 3.03963516e-02]]\n\n ...\n\n [[9.12596405e-01 2.06738405e-05 6.29303904e-05 8.73199999e-02]\n  [9.03459966e-01 5.17209287e-07 2.45825322e-06 9.65369493e-02]\n  [9.04971302e-01 2.29132453e-07 1.65842494e-06 9.50268582e-02]\n  [9.04155970e-01 3.32691059e-07 2.74554463e-06 9.58409756e-02]\n  [9.02140141e-01 3.95990838e-07 3.24209213e-06 9.78561789e-02]]\n\n [[9.01398301e-01 4.19413009e-05 1.20455567e-04 9.84393284e-02]\n  [9.00910079e-01 1.26204316e-06 5.08996891e-06 9.90836173e-02]\n  [9.08638000e-01 6.38477331e-07 3.70647695e-06 9.13576335e-02]\n  [9.01654959e-01 9.55066639e-07 6.00676594e-06 9.83380601e-02]\n  [8.94752502e-01 1.14344346e-06 7.66158064e-06 1.05238654e-01]]\n\n [[8.61696899e-01 5.33111626e-04 1.27910916e-03 1.36490911e-01]\n  [9.04882491e-01 4.71390667e-05 1.30761546e-04 9.49396268e-02]\n  [9.13289309e-01 3.80598358e-05 1.13461727e-04 8.65590796e-02]\n  [9.05986547e-01 5.52637102e-05 1.69751496e-04 9.37884077e-02]\n  [8.95959795e-01 6.73569666e-05 2.09594626e-04 1.03763282e-01]]]\nPredicted mask after argmax for 2008_001741: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001741 has shape: (379, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001741. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001792.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001792: (1, 256, 256, 4)\nSome predicted mask values: [[[9.17283773e-01 8.58813946e-05 1.43055891e-04 8.24873820e-02]\n  [9.44415867e-01 1.37755183e-06 2.47881053e-06 5.55802248e-02]\n  [9.52624917e-01 2.82646482e-07 7.76555964e-07 4.73741107e-02]\n  [9.51961100e-01 2.30754296e-07 7.78094204e-07 4.80378233e-02]\n  [9.51761723e-01 1.68068809e-07 6.37231096e-07 4.82374318e-02]]\n\n [[9.62376177e-01 5.33949049e-07 1.58113403e-06 3.76216099e-02]\n  [9.62812543e-01 2.13598139e-09 7.52337392e-09 3.71875279e-02]\n  [9.60476875e-01 4.08006573e-10 2.73217338e-09 3.95231768e-02]\n  [9.57339525e-01 4.68161787e-10 4.44105774e-09 4.26605344e-02]\n  [9.57113624e-01 3.10558440e-10 3.80818710e-09 4.28863578e-02]]\n\n [[9.79043007e-01 5.27540109e-08 2.25060049e-07 2.09567342e-02]\n  [9.77358699e-01 1.39926321e-10 8.39716408e-10 2.26412676e-02]\n  [9.72902417e-01 3.13417070e-11 4.80580686e-10 2.70975344e-02]\n  [9.67465639e-01 3.95691813e-11 9.14449960e-10 3.25343981e-02]\n  [9.68124032e-01 2.24912797e-11 6.82598200e-10 3.18759345e-02]]\n\n ...\n\n [[9.63203847e-01 2.82793664e-08 2.15882821e-07 3.67959514e-02]\n  [9.81017709e-01 3.78686709e-12 9.83114423e-11 1.89822316e-02]\n  [9.88463342e-01 6.18084007e-14 3.85354509e-12 1.15367053e-02]\n  [9.91006613e-01 1.90466437e-14 1.47610223e-12 8.99346732e-03]\n  [9.92056191e-01 9.20450714e-15 8.08147982e-13 7.94380531e-03]]\n\n [[9.49922383e-01 2.16857543e-07 1.36316476e-06 5.00760265e-02]\n  [9.73137319e-01 1.00845443e-10 1.52161395e-09 2.68626604e-02]\n  [9.82437491e-01 3.69063287e-12 1.09987561e-10 1.75625626e-02]\n  [9.84813154e-01 1.25717785e-12 5.10002388e-11 1.51868528e-02]\n  [9.86519098e-01 6.23888907e-13 3.02477453e-11 1.34808123e-02]]\n\n [[9.14994001e-01 2.32962448e-05 9.57887169e-05 8.48869532e-02]\n  [9.60318327e-01 2.01981848e-07 1.12617965e-06 3.96802798e-02]\n  [9.74892080e-01 2.80711134e-08 2.15182425e-07 2.51076613e-02]\n  [9.76303101e-01 1.81857551e-08 1.61638965e-07 2.36968175e-02]\n  [9.77385342e-01 1.29660425e-08 1.27865704e-07 2.26146076e-02]]]\nPredicted mask after argmax for 2008_001792: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001792 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001792. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001792.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001792: (1, 256, 256, 4)\nSome predicted mask values: [[[9.17283773e-01 8.58813946e-05 1.43055891e-04 8.24873820e-02]\n  [9.44415867e-01 1.37755183e-06 2.47881053e-06 5.55802248e-02]\n  [9.52624917e-01 2.82646482e-07 7.76555964e-07 4.73741107e-02]\n  [9.51961100e-01 2.30754296e-07 7.78094204e-07 4.80378233e-02]\n  [9.51761723e-01 1.68068809e-07 6.37231096e-07 4.82374318e-02]]\n\n [[9.62376177e-01 5.33949049e-07 1.58113403e-06 3.76216099e-02]\n  [9.62812543e-01 2.13598139e-09 7.52337392e-09 3.71875279e-02]\n  [9.60476875e-01 4.08006573e-10 2.73217338e-09 3.95231768e-02]\n  [9.57339525e-01 4.68161787e-10 4.44105774e-09 4.26605344e-02]\n  [9.57113624e-01 3.10558440e-10 3.80818710e-09 4.28863578e-02]]\n\n [[9.79043007e-01 5.27540109e-08 2.25060049e-07 2.09567342e-02]\n  [9.77358699e-01 1.39926321e-10 8.39716408e-10 2.26412676e-02]\n  [9.72902417e-01 3.13417070e-11 4.80580686e-10 2.70975344e-02]\n  [9.67465639e-01 3.95691813e-11 9.14449960e-10 3.25343981e-02]\n  [9.68124032e-01 2.24912797e-11 6.82598200e-10 3.18759345e-02]]\n\n ...\n\n [[9.63203847e-01 2.82793664e-08 2.15882821e-07 3.67959514e-02]\n  [9.81017709e-01 3.78686709e-12 9.83114423e-11 1.89822316e-02]\n  [9.88463342e-01 6.18084007e-14 3.85354509e-12 1.15367053e-02]\n  [9.91006613e-01 1.90466437e-14 1.47610223e-12 8.99346732e-03]\n  [9.92056191e-01 9.20450714e-15 8.08147982e-13 7.94380531e-03]]\n\n [[9.49922383e-01 2.16857543e-07 1.36316476e-06 5.00760265e-02]\n  [9.73137319e-01 1.00845443e-10 1.52161395e-09 2.68626604e-02]\n  [9.82437491e-01 3.69063287e-12 1.09987561e-10 1.75625626e-02]\n  [9.84813154e-01 1.25717785e-12 5.10002388e-11 1.51868528e-02]\n  [9.86519098e-01 6.23888907e-13 3.02477453e-11 1.34808123e-02]]\n\n [[9.14994001e-01 2.32962448e-05 9.57887169e-05 8.48869532e-02]\n  [9.60318327e-01 2.01981848e-07 1.12617965e-06 3.96802798e-02]\n  [9.74892080e-01 2.80711134e-08 2.15182425e-07 2.51076613e-02]\n  [9.76303101e-01 1.81857551e-08 1.61638965e-07 2.36968175e-02]\n  [9.77385342e-01 1.29660425e-08 1.27865704e-07 2.26146076e-02]]]\nPredicted mask after argmax for 2008_001792: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001792 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001792. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001792.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001792: (1, 256, 256, 4)\nSome predicted mask values: [[[9.17283773e-01 8.58813946e-05 1.43055891e-04 8.24873820e-02]\n  [9.44415867e-01 1.37755183e-06 2.47881053e-06 5.55802248e-02]\n  [9.52624917e-01 2.82646482e-07 7.76555964e-07 4.73741107e-02]\n  [9.51961100e-01 2.30754296e-07 7.78094204e-07 4.80378233e-02]\n  [9.51761723e-01 1.68068809e-07 6.37231096e-07 4.82374318e-02]]\n\n [[9.62376177e-01 5.33949049e-07 1.58113403e-06 3.76216099e-02]\n  [9.62812543e-01 2.13598139e-09 7.52337392e-09 3.71875279e-02]\n  [9.60476875e-01 4.08006573e-10 2.73217338e-09 3.95231768e-02]\n  [9.57339525e-01 4.68161787e-10 4.44105774e-09 4.26605344e-02]\n  [9.57113624e-01 3.10558440e-10 3.80818710e-09 4.28863578e-02]]\n\n [[9.79043007e-01 5.27540109e-08 2.25060049e-07 2.09567342e-02]\n  [9.77358699e-01 1.39926321e-10 8.39716408e-10 2.26412676e-02]\n  [9.72902417e-01 3.13417070e-11 4.80580686e-10 2.70975344e-02]\n  [9.67465639e-01 3.95691813e-11 9.14449960e-10 3.25343981e-02]\n  [9.68124032e-01 2.24912797e-11 6.82598200e-10 3.18759345e-02]]\n\n ...\n\n [[9.63203847e-01 2.82793664e-08 2.15882821e-07 3.67959514e-02]\n  [9.81017709e-01 3.78686709e-12 9.83114423e-11 1.89822316e-02]\n  [9.88463342e-01 6.18084007e-14 3.85354509e-12 1.15367053e-02]\n  [9.91006613e-01 1.90466437e-14 1.47610223e-12 8.99346732e-03]\n  [9.92056191e-01 9.20450714e-15 8.08147982e-13 7.94380531e-03]]\n\n [[9.49922383e-01 2.16857543e-07 1.36316476e-06 5.00760265e-02]\n  [9.73137319e-01 1.00845443e-10 1.52161395e-09 2.68626604e-02]\n  [9.82437491e-01 3.69063287e-12 1.09987561e-10 1.75625626e-02]\n  [9.84813154e-01 1.25717785e-12 5.10002388e-11 1.51868528e-02]\n  [9.86519098e-01 6.23888907e-13 3.02477453e-11 1.34808123e-02]]\n\n [[9.14994001e-01 2.32962448e-05 9.57887169e-05 8.48869532e-02]\n  [9.60318327e-01 2.01981848e-07 1.12617965e-06 3.96802798e-02]\n  [9.74892080e-01 2.80711134e-08 2.15182425e-07 2.51076613e-02]\n  [9.76303101e-01 1.81857551e-08 1.61638965e-07 2.36968175e-02]\n  [9.77385342e-01 1.29660425e-08 1.27865704e-07 2.26146076e-02]]]\nPredicted mask after argmax for 2008_001792: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001792 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001792. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001797.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001797: (1, 256, 256, 4)\nSome predicted mask values: [[[9.50074077e-01 1.16424535e-05 2.19171288e-05 4.98922691e-02]\n  [9.69568193e-01 9.69594396e-08 1.70856637e-07 3.04316077e-02]\n  [9.75707829e-01 1.57459734e-08 4.20849169e-08 2.42921766e-02]\n  [9.76109862e-01 1.13747607e-08 3.93423250e-08 2.38901936e-02]\n  [9.76371288e-01 7.14836634e-09 2.92125044e-08 2.36287378e-02]]\n\n [[9.79598761e-01 3.28710286e-08 1.15786698e-07 2.04011202e-02]\n  [9.78149235e-01 6.60915836e-11 2.54282956e-10 2.18507051e-02]\n  [9.74562943e-01 1.38934307e-11 9.71592182e-11 2.54370645e-02]\n  [9.71846044e-01 1.88528689e-11 1.96903063e-10 2.81539690e-02]\n  [9.71603274e-01 1.10695298e-11 1.59149777e-10 2.83966810e-02]]\n\n [[9.90186691e-01 2.25065766e-09 1.18659536e-08 9.81329195e-03]\n  [9.88226593e-01 3.56992257e-12 2.53181764e-11 1.17733534e-02]\n  [9.83770728e-01 1.15864967e-12 2.25515353e-11 1.62292682e-02]\n  [9.76342082e-01 2.62441826e-12 8.09365561e-11 2.36578956e-02]\n  [9.76336837e-01 1.33692168e-12 5.83385978e-11 2.36631278e-02]]\n\n ...\n\n [[9.48866725e-01 1.36623811e-07 9.08723564e-07 5.11322320e-02]\n  [9.73405600e-01 1.64051273e-11 3.77215759e-10 2.65943725e-02]\n  [9.88822341e-01 2.94647695e-14 2.25972192e-12 1.11776255e-02]\n  [9.94223773e-01 4.50114049e-16 6.25149753e-14 5.77626936e-03]\n  [9.97065485e-01 6.62058157e-18 1.64967512e-15 2.93449149e-03]]\n\n [[9.35878336e-01 8.52141397e-07 4.58401064e-06 6.41161799e-02]\n  [9.64219093e-01 4.47762216e-10 5.71315661e-09 3.57808247e-02]\n  [9.81230021e-01 4.04667142e-12 1.27144753e-10 1.87699702e-02]\n  [9.87292647e-01 2.01374101e-13 1.13160436e-11 1.27073005e-02]\n  [9.92451489e-01 7.33101341e-15 7.18175790e-13 7.54851289e-03]]\n\n [[9.03264821e-01 4.98235859e-05 1.88104706e-04 9.64972377e-02]\n  [9.54481661e-01 4.57116528e-07 2.40907048e-06 4.55155522e-02]\n  [9.74460363e-01 3.13140269e-08 2.42998738e-07 2.55393554e-02]\n  [9.79790509e-01 7.44683160e-09 7.46990949e-08 2.02093162e-02]\n  [9.85417008e-01 1.26061184e-09 1.73429626e-08 1.45829543e-02]]]\nPredicted mask after argmax for 2008_001797: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001797 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001797. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001797.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001797: (1, 256, 256, 4)\nSome predicted mask values: [[[9.50074077e-01 1.16424535e-05 2.19171288e-05 4.98922691e-02]\n  [9.69568193e-01 9.69594396e-08 1.70856637e-07 3.04316077e-02]\n  [9.75707829e-01 1.57459734e-08 4.20849169e-08 2.42921766e-02]\n  [9.76109862e-01 1.13747607e-08 3.93423250e-08 2.38901936e-02]\n  [9.76371288e-01 7.14836634e-09 2.92125044e-08 2.36287378e-02]]\n\n [[9.79598761e-01 3.28710286e-08 1.15786698e-07 2.04011202e-02]\n  [9.78149235e-01 6.60915836e-11 2.54282956e-10 2.18507051e-02]\n  [9.74562943e-01 1.38934307e-11 9.71592182e-11 2.54370645e-02]\n  [9.71846044e-01 1.88528689e-11 1.96903063e-10 2.81539690e-02]\n  [9.71603274e-01 1.10695298e-11 1.59149777e-10 2.83966810e-02]]\n\n [[9.90186691e-01 2.25065766e-09 1.18659536e-08 9.81329195e-03]\n  [9.88226593e-01 3.56992257e-12 2.53181764e-11 1.17733534e-02]\n  [9.83770728e-01 1.15864967e-12 2.25515353e-11 1.62292682e-02]\n  [9.76342082e-01 2.62441826e-12 8.09365561e-11 2.36578956e-02]\n  [9.76336837e-01 1.33692168e-12 5.83385978e-11 2.36631278e-02]]\n\n ...\n\n [[9.48866725e-01 1.36623811e-07 9.08723564e-07 5.11322320e-02]\n  [9.73405600e-01 1.64051273e-11 3.77215759e-10 2.65943725e-02]\n  [9.88822341e-01 2.94647695e-14 2.25972192e-12 1.11776255e-02]\n  [9.94223773e-01 4.50114049e-16 6.25149753e-14 5.77626936e-03]\n  [9.97065485e-01 6.62058157e-18 1.64967512e-15 2.93449149e-03]]\n\n [[9.35878336e-01 8.52141397e-07 4.58401064e-06 6.41161799e-02]\n  [9.64219093e-01 4.47762216e-10 5.71315661e-09 3.57808247e-02]\n  [9.81230021e-01 4.04667142e-12 1.27144753e-10 1.87699702e-02]\n  [9.87292647e-01 2.01374101e-13 1.13160436e-11 1.27073005e-02]\n  [9.92451489e-01 7.33101341e-15 7.18175790e-13 7.54851289e-03]]\n\n [[9.03264821e-01 4.98235859e-05 1.88104706e-04 9.64972377e-02]\n  [9.54481661e-01 4.57116528e-07 2.40907048e-06 4.55155522e-02]\n  [9.74460363e-01 3.13140269e-08 2.42998738e-07 2.55393554e-02]\n  [9.79790509e-01 7.44683160e-09 7.46990949e-08 2.02093162e-02]\n  [9.85417008e-01 1.26061184e-09 1.73429626e-08 1.45829543e-02]]]\nPredicted mask after argmax for 2008_001797: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001797 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001797. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001816.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001816: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99468923e-01 1.19266400e-13 6.21639730e-13 5.30975172e-04]\n  [9.99928117e-01 7.62563137e-20 3.27549357e-19 7.19364398e-05]\n  [9.99972939e-01 1.01885217e-22 1.00298800e-21 2.71190947e-05]\n  [9.99981523e-01 9.29670368e-24 1.71814524e-22 1.85053996e-05]\n  [9.99986649e-01 1.02745169e-24 2.59310444e-23 1.33357598e-05]]\n\n [[9.99923348e-01 6.88245224e-20 1.59826670e-18 7.66225494e-05]\n  [9.99944925e-01 9.51005044e-28 2.88892049e-26 5.51130834e-05]\n  [9.99925256e-01 2.67116553e-30 2.73130257e-28 7.47814556e-05]\n  [9.99925375e-01 1.32588907e-30 3.71676505e-28 7.45700963e-05]\n  [9.99930501e-01 1.35829618e-31 8.21580469e-29 6.94520641e-05]]\n\n [[9.99988079e-01 1.61254478e-22 1.05509189e-20 1.19695605e-05]\n  [9.99987960e-01 3.24749028e-30 4.42657183e-28 1.20402901e-05]\n  [9.99973297e-01 7.64331582e-32 1.06249547e-28 2.67569303e-05]\n  [9.99940515e-01 2.93008777e-31 1.35944779e-27 5.94227495e-05]\n  [9.99931097e-01 4.20719773e-32 4.93597789e-28 6.89308072e-05]]\n\n ...\n\n [[9.75642800e-01 1.07993314e-09 1.38730263e-08 2.43572090e-02]\n  [9.81127679e-01 2.14331320e-13 9.70578132e-12 1.88723225e-02]\n  [9.84353006e-01 2.18986104e-14 2.04884525e-12 1.56470425e-02]\n  [9.84661520e-01 3.05184921e-14 3.68402531e-12 1.53384553e-02]\n  [9.85215306e-01 1.93660480e-14 2.73202749e-12 1.47846490e-02]]\n\n [[9.67228770e-01 9.29844735e-09 9.94430351e-08 3.27711105e-02]\n  [9.78525400e-01 3.39785708e-12 8.95518937e-11 2.14745682e-02]\n  [9.85611200e-01 1.68565086e-13 8.74201406e-12 1.43887931e-02]\n  [9.86056328e-01 1.04759842e-13 7.31392551e-12 1.39436154e-02]\n  [9.87237453e-01 4.69954750e-14 4.28119476e-12 1.27625829e-02]]\n\n [[9.49647009e-01 1.94157792e-06 1.14355589e-05 5.03396951e-02]\n  [9.82126594e-01 8.26784063e-09 7.13430595e-08 1.78733636e-02]\n  [9.89273727e-01 1.40468415e-09 1.54177382e-08 1.07262023e-02]\n  [9.89854395e-01 1.12574905e-09 1.44904106e-08 1.01456046e-02]\n  [9.90206122e-01 7.72135300e-10 1.10201555e-08 9.79392044e-03]]]\nPredicted mask after argmax for 2008_001816: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001816 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001816. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001816.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001816: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99468923e-01 1.19266400e-13 6.21639730e-13 5.30975172e-04]\n  [9.99928117e-01 7.62563137e-20 3.27549357e-19 7.19364398e-05]\n  [9.99972939e-01 1.01885217e-22 1.00298800e-21 2.71190947e-05]\n  [9.99981523e-01 9.29670368e-24 1.71814524e-22 1.85053996e-05]\n  [9.99986649e-01 1.02745169e-24 2.59310444e-23 1.33357598e-05]]\n\n [[9.99923348e-01 6.88245224e-20 1.59826670e-18 7.66225494e-05]\n  [9.99944925e-01 9.51005044e-28 2.88892049e-26 5.51130834e-05]\n  [9.99925256e-01 2.67116553e-30 2.73130257e-28 7.47814556e-05]\n  [9.99925375e-01 1.32588907e-30 3.71676505e-28 7.45700963e-05]\n  [9.99930501e-01 1.35829618e-31 8.21580469e-29 6.94520641e-05]]\n\n [[9.99988079e-01 1.61254478e-22 1.05509189e-20 1.19695605e-05]\n  [9.99987960e-01 3.24749028e-30 4.42657183e-28 1.20402901e-05]\n  [9.99973297e-01 7.64331582e-32 1.06249547e-28 2.67569303e-05]\n  [9.99940515e-01 2.93008777e-31 1.35944779e-27 5.94227495e-05]\n  [9.99931097e-01 4.20719773e-32 4.93597789e-28 6.89308072e-05]]\n\n ...\n\n [[9.75642800e-01 1.07993314e-09 1.38730263e-08 2.43572090e-02]\n  [9.81127679e-01 2.14331320e-13 9.70578132e-12 1.88723225e-02]\n  [9.84353006e-01 2.18986104e-14 2.04884525e-12 1.56470425e-02]\n  [9.84661520e-01 3.05184921e-14 3.68402531e-12 1.53384553e-02]\n  [9.85215306e-01 1.93660480e-14 2.73202749e-12 1.47846490e-02]]\n\n [[9.67228770e-01 9.29844735e-09 9.94430351e-08 3.27711105e-02]\n  [9.78525400e-01 3.39785708e-12 8.95518937e-11 2.14745682e-02]\n  [9.85611200e-01 1.68565086e-13 8.74201406e-12 1.43887931e-02]\n  [9.86056328e-01 1.04759842e-13 7.31392551e-12 1.39436154e-02]\n  [9.87237453e-01 4.69954750e-14 4.28119476e-12 1.27625829e-02]]\n\n [[9.49647009e-01 1.94157792e-06 1.14355589e-05 5.03396951e-02]\n  [9.82126594e-01 8.26784063e-09 7.13430595e-08 1.78733636e-02]\n  [9.89273727e-01 1.40468415e-09 1.54177382e-08 1.07262023e-02]\n  [9.89854395e-01 1.12574905e-09 1.44904106e-08 1.01456046e-02]\n  [9.90206122e-01 7.72135300e-10 1.10201555e-08 9.79392044e-03]]]\nPredicted mask after argmax for 2008_001816: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001816 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001816. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001816.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001816: (1, 256, 256, 4)\nSome predicted mask values: [[[9.99468923e-01 1.19266400e-13 6.21639730e-13 5.30975172e-04]\n  [9.99928117e-01 7.62563137e-20 3.27549357e-19 7.19364398e-05]\n  [9.99972939e-01 1.01885217e-22 1.00298800e-21 2.71190947e-05]\n  [9.99981523e-01 9.29670368e-24 1.71814524e-22 1.85053996e-05]\n  [9.99986649e-01 1.02745169e-24 2.59310444e-23 1.33357598e-05]]\n\n [[9.99923348e-01 6.88245224e-20 1.59826670e-18 7.66225494e-05]\n  [9.99944925e-01 9.51005044e-28 2.88892049e-26 5.51130834e-05]\n  [9.99925256e-01 2.67116553e-30 2.73130257e-28 7.47814556e-05]\n  [9.99925375e-01 1.32588907e-30 3.71676505e-28 7.45700963e-05]\n  [9.99930501e-01 1.35829618e-31 8.21580469e-29 6.94520641e-05]]\n\n [[9.99988079e-01 1.61254478e-22 1.05509189e-20 1.19695605e-05]\n  [9.99987960e-01 3.24749028e-30 4.42657183e-28 1.20402901e-05]\n  [9.99973297e-01 7.64331582e-32 1.06249547e-28 2.67569303e-05]\n  [9.99940515e-01 2.93008777e-31 1.35944779e-27 5.94227495e-05]\n  [9.99931097e-01 4.20719773e-32 4.93597789e-28 6.89308072e-05]]\n\n ...\n\n [[9.75642800e-01 1.07993314e-09 1.38730263e-08 2.43572090e-02]\n  [9.81127679e-01 2.14331320e-13 9.70578132e-12 1.88723225e-02]\n  [9.84353006e-01 2.18986104e-14 2.04884525e-12 1.56470425e-02]\n  [9.84661520e-01 3.05184921e-14 3.68402531e-12 1.53384553e-02]\n  [9.85215306e-01 1.93660480e-14 2.73202749e-12 1.47846490e-02]]\n\n [[9.67228770e-01 9.29844735e-09 9.94430351e-08 3.27711105e-02]\n  [9.78525400e-01 3.39785708e-12 8.95518937e-11 2.14745682e-02]\n  [9.85611200e-01 1.68565086e-13 8.74201406e-12 1.43887931e-02]\n  [9.86056328e-01 1.04759842e-13 7.31392551e-12 1.39436154e-02]\n  [9.87237453e-01 4.69954750e-14 4.28119476e-12 1.27625829e-02]]\n\n [[9.49647009e-01 1.94157792e-06 1.14355589e-05 5.03396951e-02]\n  [9.82126594e-01 8.26784063e-09 7.13430595e-08 1.78733636e-02]\n  [9.89273727e-01 1.40468415e-09 1.54177382e-08 1.07262023e-02]\n  [9.89854395e-01 1.12574905e-09 1.44904106e-08 1.01456046e-02]\n  [9.90206122e-01 7.72135300e-10 1.10201555e-08 9.79392044e-03]]]\nPredicted mask after argmax for 2008_001816: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001816 has shape: (334, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001816. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001836.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001836: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86648738e-01 6.63965736e-08 1.61627128e-07 1.33510567e-02]\n  [9.94542718e-01 4.89110211e-11 9.44321635e-11 5.45721687e-03]\n  [9.96388853e-01 2.09678715e-12 7.23310561e-12 3.61108244e-03]\n  [9.96716559e-01 6.35402917e-13 3.47082866e-12 3.28342151e-03]\n  [9.97322798e-01 1.44324738e-13 1.01118430e-12 2.67714425e-03]]\n\n [[9.96295035e-01 1.55462535e-11 8.81792347e-11 3.70494253e-03]\n  [9.96238232e-01 1.25249280e-15 7.22246105e-15 3.76169127e-03]\n  [9.95077252e-01 8.39186246e-17 1.13662631e-15 4.92272573e-03]\n  [9.94587064e-01 6.01454935e-17 1.65607223e-15 5.41297300e-03]\n  [9.95016813e-01 1.24452557e-17 5.66621367e-16 4.98308707e-03]]\n\n [[9.98845100e-01 2.42483713e-13 2.43301104e-12 1.15492125e-03]\n  [9.98680770e-01 1.44372183e-17 2.01458250e-16 1.31926406e-03]\n  [9.97793198e-01 1.82950183e-18 1.23706383e-16 2.20685103e-03]\n  [9.96139944e-01 3.23543321e-18 5.03033280e-16 3.86011694e-03]\n  [9.96250868e-01 7.06999179e-19 2.10178547e-16 3.74913961e-03]]\n\n ...\n\n [[9.00551260e-01 2.03847885e-05 6.87562933e-05 9.93596092e-02]\n  [9.15349722e-01 2.24272853e-07 1.34639834e-06 8.46487358e-02]\n  [9.23207998e-01 5.73243959e-08 5.21813433e-07 7.67913535e-02]\n  [9.27328527e-01 5.88349778e-08 6.09205131e-07 7.26706833e-02]\n  [9.26038861e-01 6.93351723e-08 7.07023105e-07 7.39604458e-02]]\n\n [[8.82960021e-01 5.58359461e-05 1.75182387e-04 1.16809048e-01]\n  [9.02630448e-01 9.40881193e-07 4.67258405e-06 9.73639563e-02]\n  [9.16972160e-01 2.81093861e-07 1.97384270e-06 8.30255374e-02]\n  [9.16016877e-01 2.78448482e-07 2.14306647e-06 8.39805454e-02]\n  [9.14627373e-01 2.93628034e-07 2.41154953e-06 8.53699222e-02]]\n\n [[8.37216318e-01 8.48210766e-04 2.08634255e-03 1.59849122e-01]\n  [8.89729559e-01 6.62984676e-05 1.91262050e-04 1.10012881e-01]\n  [9.07173395e-01 3.53791911e-05 1.18452284e-04 9.26728621e-02]\n  [9.02448118e-01 3.93722403e-05 1.35962342e-04 9.73765478e-02]\n  [8.97230864e-01 4.28919120e-05 1.50822380e-04 1.02575459e-01]]]\nPredicted mask after argmax for 2008_001836: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001836 has shape: (403, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001836. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001836.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001836: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86648738e-01 6.63965736e-08 1.61627128e-07 1.33510567e-02]\n  [9.94542718e-01 4.89110211e-11 9.44321635e-11 5.45721687e-03]\n  [9.96388853e-01 2.09678715e-12 7.23310561e-12 3.61108244e-03]\n  [9.96716559e-01 6.35402917e-13 3.47082866e-12 3.28342151e-03]\n  [9.97322798e-01 1.44324738e-13 1.01118430e-12 2.67714425e-03]]\n\n [[9.96295035e-01 1.55462535e-11 8.81792347e-11 3.70494253e-03]\n  [9.96238232e-01 1.25249280e-15 7.22246105e-15 3.76169127e-03]\n  [9.95077252e-01 8.39186246e-17 1.13662631e-15 4.92272573e-03]\n  [9.94587064e-01 6.01454935e-17 1.65607223e-15 5.41297300e-03]\n  [9.95016813e-01 1.24452557e-17 5.66621367e-16 4.98308707e-03]]\n\n [[9.98845100e-01 2.42483713e-13 2.43301104e-12 1.15492125e-03]\n  [9.98680770e-01 1.44372183e-17 2.01458250e-16 1.31926406e-03]\n  [9.97793198e-01 1.82950183e-18 1.23706383e-16 2.20685103e-03]\n  [9.96139944e-01 3.23543321e-18 5.03033280e-16 3.86011694e-03]\n  [9.96250868e-01 7.06999179e-19 2.10178547e-16 3.74913961e-03]]\n\n ...\n\n [[9.00551260e-01 2.03847885e-05 6.87562933e-05 9.93596092e-02]\n  [9.15349722e-01 2.24272853e-07 1.34639834e-06 8.46487358e-02]\n  [9.23207998e-01 5.73243959e-08 5.21813433e-07 7.67913535e-02]\n  [9.27328527e-01 5.88349778e-08 6.09205131e-07 7.26706833e-02]\n  [9.26038861e-01 6.93351723e-08 7.07023105e-07 7.39604458e-02]]\n\n [[8.82960021e-01 5.58359461e-05 1.75182387e-04 1.16809048e-01]\n  [9.02630448e-01 9.40881193e-07 4.67258405e-06 9.73639563e-02]\n  [9.16972160e-01 2.81093861e-07 1.97384270e-06 8.30255374e-02]\n  [9.16016877e-01 2.78448482e-07 2.14306647e-06 8.39805454e-02]\n  [9.14627373e-01 2.93628034e-07 2.41154953e-06 8.53699222e-02]]\n\n [[8.37216318e-01 8.48210766e-04 2.08634255e-03 1.59849122e-01]\n  [8.89729559e-01 6.62984676e-05 1.91262050e-04 1.10012881e-01]\n  [9.07173395e-01 3.53791911e-05 1.18452284e-04 9.26728621e-02]\n  [9.02448118e-01 3.93722403e-05 1.35962342e-04 9.73765478e-02]\n  [8.97230864e-01 4.28919120e-05 1.50822380e-04 1.02575459e-01]]]\nPredicted mask after argmax for 2008_001836: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001836 has shape: (403, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001836. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001836.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001836: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86648738e-01 6.63965736e-08 1.61627128e-07 1.33510567e-02]\n  [9.94542718e-01 4.89110211e-11 9.44321635e-11 5.45721687e-03]\n  [9.96388853e-01 2.09678715e-12 7.23310561e-12 3.61108244e-03]\n  [9.96716559e-01 6.35402917e-13 3.47082866e-12 3.28342151e-03]\n  [9.97322798e-01 1.44324738e-13 1.01118430e-12 2.67714425e-03]]\n\n [[9.96295035e-01 1.55462535e-11 8.81792347e-11 3.70494253e-03]\n  [9.96238232e-01 1.25249280e-15 7.22246105e-15 3.76169127e-03]\n  [9.95077252e-01 8.39186246e-17 1.13662631e-15 4.92272573e-03]\n  [9.94587064e-01 6.01454935e-17 1.65607223e-15 5.41297300e-03]\n  [9.95016813e-01 1.24452557e-17 5.66621367e-16 4.98308707e-03]]\n\n [[9.98845100e-01 2.42483713e-13 2.43301104e-12 1.15492125e-03]\n  [9.98680770e-01 1.44372183e-17 2.01458250e-16 1.31926406e-03]\n  [9.97793198e-01 1.82950183e-18 1.23706383e-16 2.20685103e-03]\n  [9.96139944e-01 3.23543321e-18 5.03033280e-16 3.86011694e-03]\n  [9.96250868e-01 7.06999179e-19 2.10178547e-16 3.74913961e-03]]\n\n ...\n\n [[9.00551260e-01 2.03847885e-05 6.87562933e-05 9.93596092e-02]\n  [9.15349722e-01 2.24272853e-07 1.34639834e-06 8.46487358e-02]\n  [9.23207998e-01 5.73243959e-08 5.21813433e-07 7.67913535e-02]\n  [9.27328527e-01 5.88349778e-08 6.09205131e-07 7.26706833e-02]\n  [9.26038861e-01 6.93351723e-08 7.07023105e-07 7.39604458e-02]]\n\n [[8.82960021e-01 5.58359461e-05 1.75182387e-04 1.16809048e-01]\n  [9.02630448e-01 9.40881193e-07 4.67258405e-06 9.73639563e-02]\n  [9.16972160e-01 2.81093861e-07 1.97384270e-06 8.30255374e-02]\n  [9.16016877e-01 2.78448482e-07 2.14306647e-06 8.39805454e-02]\n  [9.14627373e-01 2.93628034e-07 2.41154953e-06 8.53699222e-02]]\n\n [[8.37216318e-01 8.48210766e-04 2.08634255e-03 1.59849122e-01]\n  [8.89729559e-01 6.62984676e-05 1.91262050e-04 1.10012881e-01]\n  [9.07173395e-01 3.53791911e-05 1.18452284e-04 9.26728621e-02]\n  [9.02448118e-01 3.93722403e-05 1.35962342e-04 9.73765478e-02]\n  [8.97230864e-01 4.28919120e-05 1.50822380e-04 1.02575459e-01]]]\nPredicted mask after argmax for 2008_001836: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001836 has shape: (403, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001836. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001854.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001854: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53162670e-01 8.21660615e-06 1.57384748e-05 4.68133800e-02]\n  [9.71819043e-01 5.62239926e-08 1.07884766e-07 2.81808209e-02]\n  [9.77183938e-01 9.75652803e-09 2.90134459e-08 2.28161197e-02]\n  [9.76210594e-01 9.55444435e-09 3.55950718e-08 2.37894300e-02]\n  [9.75389957e-01 7.82197507e-09 3.32541603e-08 2.46100370e-02]]\n\n [[9.80810702e-01 2.05354791e-08 7.59935546e-08 1.91892069e-02]\n  [9.79844332e-01 3.31694672e-11 1.38059883e-10 2.01556329e-02]\n  [9.76742089e-01 7.40653806e-12 5.86672794e-11 2.32578740e-02]\n  [9.72617507e-01 1.43140846e-11 1.64769268e-10 2.73825210e-02]\n  [9.70443666e-01 1.27387857e-11 1.92857896e-10 2.95563545e-02]]\n\n [[9.90635395e-01 1.51476132e-09 8.60921734e-09 9.36465897e-03]\n  [9.89036858e-01 1.82628847e-12 1.44677100e-11 1.09631708e-02]\n  [9.84745502e-01 5.95262826e-13 1.30049166e-11 1.52544361e-02]\n  [9.77314472e-01 1.76090598e-12 5.97485672e-11 2.26854701e-02]\n  [9.76033211e-01 1.37159164e-12 6.17571341e-11 2.39668284e-02]]\n\n ...\n\n [[9.07517612e-01 2.62795693e-05 8.02498398e-05 9.23758447e-02]\n  [9.04374778e-01 6.59367970e-07 3.07320397e-06 9.56213847e-02]\n  [9.04488206e-01 3.01519435e-07 2.10717167e-06 9.55093279e-02]\n  [9.05118644e-01 3.91146159e-07 3.11056033e-06 9.48778242e-02]\n  [9.04758334e-01 4.09163647e-07 3.27563134e-06 9.52379704e-02]]\n\n [[8.89349341e-01 7.00126329e-05 1.99268718e-04 1.10381357e-01]\n  [8.93282831e-01 2.27728219e-06 9.07139110e-06 1.06705889e-01]\n  [9.01750684e-01 1.06836842e-06 6.03544368e-06 9.82422009e-02]\n  [8.96346331e-01 1.29520095e-06 8.02312206e-06 1.03644304e-01]\n  [8.95126104e-01 1.24347775e-06 8.40972825e-06 1.04864135e-01]]\n\n [[8.42699528e-01 9.31035087e-04 2.15946860e-03 1.54210001e-01]\n  [8.86612236e-01 9.90608096e-05 2.62772926e-04 1.13026030e-01]\n  [8.97663414e-01 7.22235709e-05 2.12468280e-04 1.02051869e-01]\n  [8.90866339e-01 8.78347055e-05 2.68701639e-04 1.08777143e-01]\n  [8.83734584e-01 8.95922785e-05 2.81526824e-04 1.15894280e-01]]]\nPredicted mask after argmax for 2008_001854: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001854 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001854. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001854.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001854: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53162670e-01 8.21660615e-06 1.57384748e-05 4.68133800e-02]\n  [9.71819043e-01 5.62239926e-08 1.07884766e-07 2.81808209e-02]\n  [9.77183938e-01 9.75652803e-09 2.90134459e-08 2.28161197e-02]\n  [9.76210594e-01 9.55444435e-09 3.55950718e-08 2.37894300e-02]\n  [9.75389957e-01 7.82197507e-09 3.32541603e-08 2.46100370e-02]]\n\n [[9.80810702e-01 2.05354791e-08 7.59935546e-08 1.91892069e-02]\n  [9.79844332e-01 3.31694672e-11 1.38059883e-10 2.01556329e-02]\n  [9.76742089e-01 7.40653806e-12 5.86672794e-11 2.32578740e-02]\n  [9.72617507e-01 1.43140846e-11 1.64769268e-10 2.73825210e-02]\n  [9.70443666e-01 1.27387857e-11 1.92857896e-10 2.95563545e-02]]\n\n [[9.90635395e-01 1.51476132e-09 8.60921734e-09 9.36465897e-03]\n  [9.89036858e-01 1.82628847e-12 1.44677100e-11 1.09631708e-02]\n  [9.84745502e-01 5.95262826e-13 1.30049166e-11 1.52544361e-02]\n  [9.77314472e-01 1.76090598e-12 5.97485672e-11 2.26854701e-02]\n  [9.76033211e-01 1.37159164e-12 6.17571341e-11 2.39668284e-02]]\n\n ...\n\n [[9.07517612e-01 2.62795693e-05 8.02498398e-05 9.23758447e-02]\n  [9.04374778e-01 6.59367970e-07 3.07320397e-06 9.56213847e-02]\n  [9.04488206e-01 3.01519435e-07 2.10717167e-06 9.55093279e-02]\n  [9.05118644e-01 3.91146159e-07 3.11056033e-06 9.48778242e-02]\n  [9.04758334e-01 4.09163647e-07 3.27563134e-06 9.52379704e-02]]\n\n [[8.89349341e-01 7.00126329e-05 1.99268718e-04 1.10381357e-01]\n  [8.93282831e-01 2.27728219e-06 9.07139110e-06 1.06705889e-01]\n  [9.01750684e-01 1.06836842e-06 6.03544368e-06 9.82422009e-02]\n  [8.96346331e-01 1.29520095e-06 8.02312206e-06 1.03644304e-01]\n  [8.95126104e-01 1.24347775e-06 8.40972825e-06 1.04864135e-01]]\n\n [[8.42699528e-01 9.31035087e-04 2.15946860e-03 1.54210001e-01]\n  [8.86612236e-01 9.90608096e-05 2.62772926e-04 1.13026030e-01]\n  [8.97663414e-01 7.22235709e-05 2.12468280e-04 1.02051869e-01]\n  [8.90866339e-01 8.78347055e-05 2.68701639e-04 1.08777143e-01]\n  [8.83734584e-01 8.95922785e-05 2.81526824e-04 1.15894280e-01]]]\nPredicted mask after argmax for 2008_001854: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001854 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001854. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001854.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001854: (1, 256, 256, 4)\nSome predicted mask values: [[[9.53162670e-01 8.21660615e-06 1.57384748e-05 4.68133800e-02]\n  [9.71819043e-01 5.62239926e-08 1.07884766e-07 2.81808209e-02]\n  [9.77183938e-01 9.75652803e-09 2.90134459e-08 2.28161197e-02]\n  [9.76210594e-01 9.55444435e-09 3.55950718e-08 2.37894300e-02]\n  [9.75389957e-01 7.82197507e-09 3.32541603e-08 2.46100370e-02]]\n\n [[9.80810702e-01 2.05354791e-08 7.59935546e-08 1.91892069e-02]\n  [9.79844332e-01 3.31694672e-11 1.38059883e-10 2.01556329e-02]\n  [9.76742089e-01 7.40653806e-12 5.86672794e-11 2.32578740e-02]\n  [9.72617507e-01 1.43140846e-11 1.64769268e-10 2.73825210e-02]\n  [9.70443666e-01 1.27387857e-11 1.92857896e-10 2.95563545e-02]]\n\n [[9.90635395e-01 1.51476132e-09 8.60921734e-09 9.36465897e-03]\n  [9.89036858e-01 1.82628847e-12 1.44677100e-11 1.09631708e-02]\n  [9.84745502e-01 5.95262826e-13 1.30049166e-11 1.52544361e-02]\n  [9.77314472e-01 1.76090598e-12 5.97485672e-11 2.26854701e-02]\n  [9.76033211e-01 1.37159164e-12 6.17571341e-11 2.39668284e-02]]\n\n ...\n\n [[9.07517612e-01 2.62795693e-05 8.02498398e-05 9.23758447e-02]\n  [9.04374778e-01 6.59367970e-07 3.07320397e-06 9.56213847e-02]\n  [9.04488206e-01 3.01519435e-07 2.10717167e-06 9.55093279e-02]\n  [9.05118644e-01 3.91146159e-07 3.11056033e-06 9.48778242e-02]\n  [9.04758334e-01 4.09163647e-07 3.27563134e-06 9.52379704e-02]]\n\n [[8.89349341e-01 7.00126329e-05 1.99268718e-04 1.10381357e-01]\n  [8.93282831e-01 2.27728219e-06 9.07139110e-06 1.06705889e-01]\n  [9.01750684e-01 1.06836842e-06 6.03544368e-06 9.82422009e-02]\n  [8.96346331e-01 1.29520095e-06 8.02312206e-06 1.03644304e-01]\n  [8.95126104e-01 1.24347775e-06 8.40972825e-06 1.04864135e-01]]\n\n [[8.42699528e-01 9.31035087e-04 2.15946860e-03 1.54210001e-01]\n  [8.86612236e-01 9.90608096e-05 2.62772926e-04 1.13026030e-01]\n  [8.97663414e-01 7.22235709e-05 2.12468280e-04 1.02051869e-01]\n  [8.90866339e-01 8.78347055e-05 2.68701639e-04 1.08777143e-01]\n  [8.83734584e-01 8.95922785e-05 2.81526824e-04 1.15894280e-01]]]\nPredicted mask after argmax for 2008_001854: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001854 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001854. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001862.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001862: (1, 256, 256, 4)\nSome predicted mask values: [[[9.27239120e-01 5.35142754e-05 9.11462994e-05 7.26162419e-02]\n  [9.49712992e-01 9.20874243e-07 1.57812565e-06 5.02844639e-02]\n  [9.55359221e-01 2.34342409e-07 6.21309596e-07 4.46399823e-02]\n  [9.52611268e-01 2.26683767e-07 7.62188449e-07 4.73876968e-02]\n  [9.51365590e-01 1.76085464e-07 6.79551704e-07 4.86335196e-02]]\n\n [[9.68997777e-01 2.46402209e-07 7.53495385e-07 3.10011189e-02]\n  [9.66608882e-01 1.08818055e-09 3.70740949e-09 3.33911255e-02]\n  [9.61291671e-01 3.10304810e-10 2.04990735e-09 3.87082659e-02]\n  [9.55684304e-01 4.95327557e-10 4.80701212e-09 4.43156734e-02]\n  [9.54770982e-01 3.63117786e-10 4.69132244e-09 4.52290364e-02]]\n\n [[9.84334886e-01 1.75408346e-08 7.83166954e-08 1.56649631e-02]\n  [9.81367230e-01 5.18032006e-11 3.03027825e-10 1.86328348e-02]\n  [9.75318491e-01 1.85466035e-11 2.96094316e-10 2.46815477e-02]\n  [9.66344297e-01 3.73944556e-11 9.01683561e-10 3.36556323e-02]\n  [9.66331720e-01 2.36741737e-11 7.72620357e-10 3.36682312e-02]]\n\n ...\n\n [[9.29912806e-01 2.75561865e-06 1.11127920e-05 7.00732917e-02]\n  [9.35659230e-01 1.53485153e-08 1.29278106e-07 6.43405914e-02]\n  [9.43358719e-01 2.71451039e-09 3.76856129e-08 5.66412657e-02]\n  [9.47294891e-01 2.69918710e-09 4.33955698e-08 5.27051166e-02]\n  [9.48326290e-01 2.42485543e-09 4.00790725e-08 5.16737103e-02]]\n\n [[9.21287656e-01 6.11917676e-06 2.33230494e-05 7.86828771e-02]\n  [9.32836711e-01 4.51534703e-08 3.05589339e-07 6.71629161e-02]\n  [9.43600655e-01 9.41974854e-09 9.62354889e-08 5.63992336e-02]\n  [9.44320321e-01 8.97988262e-09 1.07346111e-07 5.56795374e-02]\n  [9.44658577e-01 7.79513076e-09 1.04596118e-07 5.53413257e-02]]\n\n [[8.88106406e-01 1.34564441e-04 4.01009311e-04 1.11358054e-01]\n  [9.34809744e-01 4.83482836e-06 1.76958310e-05 6.51677698e-02]\n  [9.48755324e-01 2.00889758e-06 8.60095952e-06 5.12340814e-02]\n  [9.47393239e-01 2.18156242e-06 9.91474644e-06 5.25947325e-02]\n  [9.44350600e-01 2.16414992e-06 1.02111699e-05 5.56369908e-02]]]\nPredicted mask after argmax for 2008_001862: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001862 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001862. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001862.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001862: (1, 256, 256, 4)\nSome predicted mask values: [[[9.27239120e-01 5.35142754e-05 9.11462994e-05 7.26162419e-02]\n  [9.49712992e-01 9.20874243e-07 1.57812565e-06 5.02844639e-02]\n  [9.55359221e-01 2.34342409e-07 6.21309596e-07 4.46399823e-02]\n  [9.52611268e-01 2.26683767e-07 7.62188449e-07 4.73876968e-02]\n  [9.51365590e-01 1.76085464e-07 6.79551704e-07 4.86335196e-02]]\n\n [[9.68997777e-01 2.46402209e-07 7.53495385e-07 3.10011189e-02]\n  [9.66608882e-01 1.08818055e-09 3.70740949e-09 3.33911255e-02]\n  [9.61291671e-01 3.10304810e-10 2.04990735e-09 3.87082659e-02]\n  [9.55684304e-01 4.95327557e-10 4.80701212e-09 4.43156734e-02]\n  [9.54770982e-01 3.63117786e-10 4.69132244e-09 4.52290364e-02]]\n\n [[9.84334886e-01 1.75408346e-08 7.83166954e-08 1.56649631e-02]\n  [9.81367230e-01 5.18032006e-11 3.03027825e-10 1.86328348e-02]\n  [9.75318491e-01 1.85466035e-11 2.96094316e-10 2.46815477e-02]\n  [9.66344297e-01 3.73944556e-11 9.01683561e-10 3.36556323e-02]\n  [9.66331720e-01 2.36741737e-11 7.72620357e-10 3.36682312e-02]]\n\n ...\n\n [[9.29912806e-01 2.75561865e-06 1.11127920e-05 7.00732917e-02]\n  [9.35659230e-01 1.53485153e-08 1.29278106e-07 6.43405914e-02]\n  [9.43358719e-01 2.71451039e-09 3.76856129e-08 5.66412657e-02]\n  [9.47294891e-01 2.69918710e-09 4.33955698e-08 5.27051166e-02]\n  [9.48326290e-01 2.42485543e-09 4.00790725e-08 5.16737103e-02]]\n\n [[9.21287656e-01 6.11917676e-06 2.33230494e-05 7.86828771e-02]\n  [9.32836711e-01 4.51534703e-08 3.05589339e-07 6.71629161e-02]\n  [9.43600655e-01 9.41974854e-09 9.62354889e-08 5.63992336e-02]\n  [9.44320321e-01 8.97988262e-09 1.07346111e-07 5.56795374e-02]\n  [9.44658577e-01 7.79513076e-09 1.04596118e-07 5.53413257e-02]]\n\n [[8.88106406e-01 1.34564441e-04 4.01009311e-04 1.11358054e-01]\n  [9.34809744e-01 4.83482836e-06 1.76958310e-05 6.51677698e-02]\n  [9.48755324e-01 2.00889758e-06 8.60095952e-06 5.12340814e-02]\n  [9.47393239e-01 2.18156242e-06 9.91474644e-06 5.25947325e-02]\n  [9.44350600e-01 2.16414992e-06 1.02111699e-05 5.56369908e-02]]]\nPredicted mask after argmax for 2008_001862: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001862 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001862. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001862.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001862: (1, 256, 256, 4)\nSome predicted mask values: [[[9.27239120e-01 5.35142754e-05 9.11462994e-05 7.26162419e-02]\n  [9.49712992e-01 9.20874243e-07 1.57812565e-06 5.02844639e-02]\n  [9.55359221e-01 2.34342409e-07 6.21309596e-07 4.46399823e-02]\n  [9.52611268e-01 2.26683767e-07 7.62188449e-07 4.73876968e-02]\n  [9.51365590e-01 1.76085464e-07 6.79551704e-07 4.86335196e-02]]\n\n [[9.68997777e-01 2.46402209e-07 7.53495385e-07 3.10011189e-02]\n  [9.66608882e-01 1.08818055e-09 3.70740949e-09 3.33911255e-02]\n  [9.61291671e-01 3.10304810e-10 2.04990735e-09 3.87082659e-02]\n  [9.55684304e-01 4.95327557e-10 4.80701212e-09 4.43156734e-02]\n  [9.54770982e-01 3.63117786e-10 4.69132244e-09 4.52290364e-02]]\n\n [[9.84334886e-01 1.75408346e-08 7.83166954e-08 1.56649631e-02]\n  [9.81367230e-01 5.18032006e-11 3.03027825e-10 1.86328348e-02]\n  [9.75318491e-01 1.85466035e-11 2.96094316e-10 2.46815477e-02]\n  [9.66344297e-01 3.73944556e-11 9.01683561e-10 3.36556323e-02]\n  [9.66331720e-01 2.36741737e-11 7.72620357e-10 3.36682312e-02]]\n\n ...\n\n [[9.29912806e-01 2.75561865e-06 1.11127920e-05 7.00732917e-02]\n  [9.35659230e-01 1.53485153e-08 1.29278106e-07 6.43405914e-02]\n  [9.43358719e-01 2.71451039e-09 3.76856129e-08 5.66412657e-02]\n  [9.47294891e-01 2.69918710e-09 4.33955698e-08 5.27051166e-02]\n  [9.48326290e-01 2.42485543e-09 4.00790725e-08 5.16737103e-02]]\n\n [[9.21287656e-01 6.11917676e-06 2.33230494e-05 7.86828771e-02]\n  [9.32836711e-01 4.51534703e-08 3.05589339e-07 6.71629161e-02]\n  [9.43600655e-01 9.41974854e-09 9.62354889e-08 5.63992336e-02]\n  [9.44320321e-01 8.97988262e-09 1.07346111e-07 5.56795374e-02]\n  [9.44658577e-01 7.79513076e-09 1.04596118e-07 5.53413257e-02]]\n\n [[8.88106406e-01 1.34564441e-04 4.01009311e-04 1.11358054e-01]\n  [9.34809744e-01 4.83482836e-06 1.76958310e-05 6.51677698e-02]\n  [9.48755324e-01 2.00889758e-06 8.60095952e-06 5.12340814e-02]\n  [9.47393239e-01 2.18156242e-06 9.91474644e-06 5.25947325e-02]\n  [9.44350600e-01 2.16414992e-06 1.02111699e-05 5.56369908e-02]]]\nPredicted mask after argmax for 2008_001862: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001862 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001862. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001862.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001862: (1, 256, 256, 4)\nSome predicted mask values: [[[9.27239120e-01 5.35142754e-05 9.11462994e-05 7.26162419e-02]\n  [9.49712992e-01 9.20874243e-07 1.57812565e-06 5.02844639e-02]\n  [9.55359221e-01 2.34342409e-07 6.21309596e-07 4.46399823e-02]\n  [9.52611268e-01 2.26683767e-07 7.62188449e-07 4.73876968e-02]\n  [9.51365590e-01 1.76085464e-07 6.79551704e-07 4.86335196e-02]]\n\n [[9.68997777e-01 2.46402209e-07 7.53495385e-07 3.10011189e-02]\n  [9.66608882e-01 1.08818055e-09 3.70740949e-09 3.33911255e-02]\n  [9.61291671e-01 3.10304810e-10 2.04990735e-09 3.87082659e-02]\n  [9.55684304e-01 4.95327557e-10 4.80701212e-09 4.43156734e-02]\n  [9.54770982e-01 3.63117786e-10 4.69132244e-09 4.52290364e-02]]\n\n [[9.84334886e-01 1.75408346e-08 7.83166954e-08 1.56649631e-02]\n  [9.81367230e-01 5.18032006e-11 3.03027825e-10 1.86328348e-02]\n  [9.75318491e-01 1.85466035e-11 2.96094316e-10 2.46815477e-02]\n  [9.66344297e-01 3.73944556e-11 9.01683561e-10 3.36556323e-02]\n  [9.66331720e-01 2.36741737e-11 7.72620357e-10 3.36682312e-02]]\n\n ...\n\n [[9.29912806e-01 2.75561865e-06 1.11127920e-05 7.00732917e-02]\n  [9.35659230e-01 1.53485153e-08 1.29278106e-07 6.43405914e-02]\n  [9.43358719e-01 2.71451039e-09 3.76856129e-08 5.66412657e-02]\n  [9.47294891e-01 2.69918710e-09 4.33955698e-08 5.27051166e-02]\n  [9.48326290e-01 2.42485543e-09 4.00790725e-08 5.16737103e-02]]\n\n [[9.21287656e-01 6.11917676e-06 2.33230494e-05 7.86828771e-02]\n  [9.32836711e-01 4.51534703e-08 3.05589339e-07 6.71629161e-02]\n  [9.43600655e-01 9.41974854e-09 9.62354889e-08 5.63992336e-02]\n  [9.44320321e-01 8.97988262e-09 1.07346111e-07 5.56795374e-02]\n  [9.44658577e-01 7.79513076e-09 1.04596118e-07 5.53413257e-02]]\n\n [[8.88106406e-01 1.34564441e-04 4.01009311e-04 1.11358054e-01]\n  [9.34809744e-01 4.83482836e-06 1.76958310e-05 6.51677698e-02]\n  [9.48755324e-01 2.00889758e-06 8.60095952e-06 5.12340814e-02]\n  [9.47393239e-01 2.18156242e-06 9.91474644e-06 5.25947325e-02]\n  [9.44350600e-01 2.16414992e-06 1.02111699e-05 5.56369908e-02]]]\nPredicted mask after argmax for 2008_001862: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001862 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001862. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001871.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001871: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60202575e-01 4.66246411e-06 9.27103065e-06 3.97834517e-02]\n  [9.77962315e-01 2.50346091e-08 4.60434144e-08 2.20376588e-02]\n  [9.82241929e-01 4.12998258e-09 1.14999414e-08 1.77581031e-02]\n  [9.80946243e-01 4.14002965e-09 1.46573145e-08 1.90537367e-02]\n  [9.79887009e-01 3.48048479e-09 1.40908165e-08 2.01129410e-02]]\n\n [[9.83657241e-01 1.05259614e-08 4.00436093e-08 1.63427815e-02]\n  [9.83183146e-01 1.31793005e-11 5.30783542e-11 1.68168545e-02]\n  [9.79152739e-01 3.10389149e-12 2.28535645e-11 2.08472554e-02]\n  [9.74951804e-01 6.39063585e-12 7.08416173e-11 2.50482187e-02]\n  [9.72921252e-01 5.39424798e-12 8.08930076e-11 2.70786900e-02]]\n\n [[9.92363930e-01 7.18208049e-10 4.22432844e-09 7.63614057e-03]\n  [9.91033852e-01 7.91195993e-13 6.11463874e-12 8.96619819e-03]\n  [9.86622632e-01 2.93916692e-13 6.48723610e-12 1.33773722e-02]\n  [9.78623688e-01 9.68815414e-13 3.40313611e-11 2.13762466e-02]\n  [9.76305127e-01 7.41053811e-13 3.58006957e-11 2.36948356e-02]]\n\n ...\n\n [[9.47395444e-01 6.49195727e-07 3.03236743e-06 5.26007637e-02]\n  [9.49554026e-01 2.20953855e-09 2.28690720e-08 5.04459664e-02]\n  [9.57082927e-01 2.78233686e-10 5.30769784e-09 4.29170690e-02]\n  [9.61609602e-01 2.33364994e-10 5.39676392e-09 3.83903794e-02]\n  [9.63788509e-01 1.61635358e-10 4.02676603e-09 3.62115093e-02]]\n\n [[9.39810336e-01 1.63389700e-06 7.06319133e-06 6.01808801e-02]\n  [9.47572351e-01 7.69451347e-09 6.11130559e-08 5.24275675e-02]\n  [9.57355440e-01 1.29803868e-09 1.70875474e-08 4.26445529e-02]\n  [9.58016396e-01 1.15908849e-09 1.85246645e-08 4.19835784e-02]\n  [9.58974719e-01 8.65592709e-10 1.62901319e-08 4.10253443e-02]]\n\n [[9.08716381e-01 5.28946657e-05 1.76240079e-04 9.10545215e-02]\n  [9.49458778e-01 1.35373875e-06 5.60309081e-06 5.05342074e-02]\n  [9.60932374e-01 5.27777615e-07 2.60797992e-06 3.90644707e-02]\n  [9.59809899e-01 5.79575328e-07 3.10142264e-06 4.01864536e-02]\n  [9.57075715e-01 5.50921470e-07 3.13129294e-06 4.29206342e-02]]]\nPredicted mask after argmax for 2008_001871: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001871 has shape: (400, 300)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001871. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001871.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001871: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60202575e-01 4.66246411e-06 9.27103065e-06 3.97834517e-02]\n  [9.77962315e-01 2.50346091e-08 4.60434144e-08 2.20376588e-02]\n  [9.82241929e-01 4.12998258e-09 1.14999414e-08 1.77581031e-02]\n  [9.80946243e-01 4.14002965e-09 1.46573145e-08 1.90537367e-02]\n  [9.79887009e-01 3.48048479e-09 1.40908165e-08 2.01129410e-02]]\n\n [[9.83657241e-01 1.05259614e-08 4.00436093e-08 1.63427815e-02]\n  [9.83183146e-01 1.31793005e-11 5.30783542e-11 1.68168545e-02]\n  [9.79152739e-01 3.10389149e-12 2.28535645e-11 2.08472554e-02]\n  [9.74951804e-01 6.39063585e-12 7.08416173e-11 2.50482187e-02]\n  [9.72921252e-01 5.39424798e-12 8.08930076e-11 2.70786900e-02]]\n\n [[9.92363930e-01 7.18208049e-10 4.22432844e-09 7.63614057e-03]\n  [9.91033852e-01 7.91195993e-13 6.11463874e-12 8.96619819e-03]\n  [9.86622632e-01 2.93916692e-13 6.48723610e-12 1.33773722e-02]\n  [9.78623688e-01 9.68815414e-13 3.40313611e-11 2.13762466e-02]\n  [9.76305127e-01 7.41053811e-13 3.58006957e-11 2.36948356e-02]]\n\n ...\n\n [[9.47395444e-01 6.49195727e-07 3.03236743e-06 5.26007637e-02]\n  [9.49554026e-01 2.20953855e-09 2.28690720e-08 5.04459664e-02]\n  [9.57082927e-01 2.78233686e-10 5.30769784e-09 4.29170690e-02]\n  [9.61609602e-01 2.33364994e-10 5.39676392e-09 3.83903794e-02]\n  [9.63788509e-01 1.61635358e-10 4.02676603e-09 3.62115093e-02]]\n\n [[9.39810336e-01 1.63389700e-06 7.06319133e-06 6.01808801e-02]\n  [9.47572351e-01 7.69451347e-09 6.11130559e-08 5.24275675e-02]\n  [9.57355440e-01 1.29803868e-09 1.70875474e-08 4.26445529e-02]\n  [9.58016396e-01 1.15908849e-09 1.85246645e-08 4.19835784e-02]\n  [9.58974719e-01 8.65592709e-10 1.62901319e-08 4.10253443e-02]]\n\n [[9.08716381e-01 5.28946657e-05 1.76240079e-04 9.10545215e-02]\n  [9.49458778e-01 1.35373875e-06 5.60309081e-06 5.05342074e-02]\n  [9.60932374e-01 5.27777615e-07 2.60797992e-06 3.90644707e-02]\n  [9.59809899e-01 5.79575328e-07 3.10142264e-06 4.01864536e-02]\n  [9.57075715e-01 5.50921470e-07 3.13129294e-06 4.29206342e-02]]]\nPredicted mask after argmax for 2008_001871: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001871 has shape: (400, 300)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001871. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001871.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001871: (1, 256, 256, 4)\nSome predicted mask values: [[[9.60202575e-01 4.66246411e-06 9.27103065e-06 3.97834517e-02]\n  [9.77962315e-01 2.50346091e-08 4.60434144e-08 2.20376588e-02]\n  [9.82241929e-01 4.12998258e-09 1.14999414e-08 1.77581031e-02]\n  [9.80946243e-01 4.14002965e-09 1.46573145e-08 1.90537367e-02]\n  [9.79887009e-01 3.48048479e-09 1.40908165e-08 2.01129410e-02]]\n\n [[9.83657241e-01 1.05259614e-08 4.00436093e-08 1.63427815e-02]\n  [9.83183146e-01 1.31793005e-11 5.30783542e-11 1.68168545e-02]\n  [9.79152739e-01 3.10389149e-12 2.28535645e-11 2.08472554e-02]\n  [9.74951804e-01 6.39063585e-12 7.08416173e-11 2.50482187e-02]\n  [9.72921252e-01 5.39424798e-12 8.08930076e-11 2.70786900e-02]]\n\n [[9.92363930e-01 7.18208049e-10 4.22432844e-09 7.63614057e-03]\n  [9.91033852e-01 7.91195993e-13 6.11463874e-12 8.96619819e-03]\n  [9.86622632e-01 2.93916692e-13 6.48723610e-12 1.33773722e-02]\n  [9.78623688e-01 9.68815414e-13 3.40313611e-11 2.13762466e-02]\n  [9.76305127e-01 7.41053811e-13 3.58006957e-11 2.36948356e-02]]\n\n ...\n\n [[9.47395444e-01 6.49195727e-07 3.03236743e-06 5.26007637e-02]\n  [9.49554026e-01 2.20953855e-09 2.28690720e-08 5.04459664e-02]\n  [9.57082927e-01 2.78233686e-10 5.30769784e-09 4.29170690e-02]\n  [9.61609602e-01 2.33364994e-10 5.39676392e-09 3.83903794e-02]\n  [9.63788509e-01 1.61635358e-10 4.02676603e-09 3.62115093e-02]]\n\n [[9.39810336e-01 1.63389700e-06 7.06319133e-06 6.01808801e-02]\n  [9.47572351e-01 7.69451347e-09 6.11130559e-08 5.24275675e-02]\n  [9.57355440e-01 1.29803868e-09 1.70875474e-08 4.26445529e-02]\n  [9.58016396e-01 1.15908849e-09 1.85246645e-08 4.19835784e-02]\n  [9.58974719e-01 8.65592709e-10 1.62901319e-08 4.10253443e-02]]\n\n [[9.08716381e-01 5.28946657e-05 1.76240079e-04 9.10545215e-02]\n  [9.49458778e-01 1.35373875e-06 5.60309081e-06 5.05342074e-02]\n  [9.60932374e-01 5.27777615e-07 2.60797992e-06 3.90644707e-02]\n  [9.59809899e-01 5.79575328e-07 3.10142264e-06 4.01864536e-02]\n  [9.57075715e-01 5.50921470e-07 3.13129294e-06 4.29206342e-02]]]\nPredicted mask after argmax for 2008_001871: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001871 has shape: (400, 300)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001871. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001872.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\nPredicted mask shape for 2008_001872: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83185589e-01 1.01120612e-07 2.55060371e-07 1.68140903e-02]\n  [9.93202925e-01 5.42641626e-11 1.41003653e-10 6.79701613e-03]\n  [9.95845020e-01 2.02949354e-12 9.23650306e-12 4.15494340e-03]\n  [9.96268630e-01 9.36373375e-13 5.73579725e-12 3.73137649e-03]\n  [9.96626556e-01 4.12748828e-13 2.96720396e-12 3.37344292e-03]]\n\n [[9.94531393e-01 3.39249392e-11 2.07323755e-10 5.46854548e-03]\n  [9.95090604e-01 2.26305308e-15 1.74034066e-14 4.90931701e-03]\n  [9.94870603e-01 1.00444542e-16 1.76477515e-15 5.12930285e-03]\n  [9.94437456e-01 1.02400963e-16 2.96120707e-15 5.56252105e-03]\n  [9.94395971e-01 4.48475987e-17 1.89796197e-15 5.60402265e-03]]\n\n [[9.97983932e-01 1.06407981e-12 1.21125159e-11 2.01609987e-03]\n  [9.97859299e-01 4.95712566e-17 9.80804966e-16 2.14067684e-03]\n  [9.97050047e-01 3.71434742e-18 2.92252069e-16 2.94990023e-03]\n  [9.95877147e-01 6.32831467e-18 9.72013929e-16 4.12282255e-03]\n  [9.95678425e-01 2.88761142e-18 6.92525614e-16 4.32152720e-03]]\n\n ...\n\n [[9.27502930e-01 3.38738460e-06 1.33796439e-05 7.24802464e-02]\n  [9.30808485e-01 2.26226220e-08 1.80445767e-07 6.91913366e-02]\n  [9.38764155e-01 4.41653780e-09 5.83967079e-08 6.12356588e-02]\n  [9.42922473e-01 4.72077266e-09 7.19517956e-08 5.70774227e-02]\n  [9.43550467e-01 4.68863037e-09 7.11395813e-08 5.64493760e-02]]\n\n [[9.19927955e-01 6.84807173e-06 2.61276837e-05 8.00390989e-02]\n  [9.29021776e-01 5.90582054e-08 3.85384112e-07 7.09777400e-02]\n  [9.41280723e-01 1.35962299e-08 1.33967362e-07 5.87191731e-02]\n  [9.41477954e-01 1.40324463e-08 1.59268950e-07 5.85219786e-02]\n  [9.39452589e-01 1.33790277e-08 1.71356575e-07 6.05471469e-02]]\n\n [[8.88080359e-01 1.44115416e-04 4.27399151e-04 1.11348175e-01]\n  [9.34873760e-01 5.41664031e-06 1.98085418e-05 6.51009306e-02]\n  [9.48047400e-01 2.44200851e-06 1.03315042e-05 5.19397967e-02]\n  [9.46219444e-01 2.77377444e-06 1.23756936e-05 5.37653305e-02]\n  [9.39711690e-01 3.14038789e-06 1.46362645e-05 6.02704473e-02]]]\nPredicted mask after argmax for 2008_001872: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001872 has shape: (312, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001872. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001872.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001872: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83185589e-01 1.01120612e-07 2.55060371e-07 1.68140903e-02]\n  [9.93202925e-01 5.42641626e-11 1.41003653e-10 6.79701613e-03]\n  [9.95845020e-01 2.02949354e-12 9.23650306e-12 4.15494340e-03]\n  [9.96268630e-01 9.36373375e-13 5.73579725e-12 3.73137649e-03]\n  [9.96626556e-01 4.12748828e-13 2.96720396e-12 3.37344292e-03]]\n\n [[9.94531393e-01 3.39249392e-11 2.07323755e-10 5.46854548e-03]\n  [9.95090604e-01 2.26305308e-15 1.74034066e-14 4.90931701e-03]\n  [9.94870603e-01 1.00444542e-16 1.76477515e-15 5.12930285e-03]\n  [9.94437456e-01 1.02400963e-16 2.96120707e-15 5.56252105e-03]\n  [9.94395971e-01 4.48475987e-17 1.89796197e-15 5.60402265e-03]]\n\n [[9.97983932e-01 1.06407981e-12 1.21125159e-11 2.01609987e-03]\n  [9.97859299e-01 4.95712566e-17 9.80804966e-16 2.14067684e-03]\n  [9.97050047e-01 3.71434742e-18 2.92252069e-16 2.94990023e-03]\n  [9.95877147e-01 6.32831467e-18 9.72013929e-16 4.12282255e-03]\n  [9.95678425e-01 2.88761142e-18 6.92525614e-16 4.32152720e-03]]\n\n ...\n\n [[9.27502930e-01 3.38738460e-06 1.33796439e-05 7.24802464e-02]\n  [9.30808485e-01 2.26226220e-08 1.80445767e-07 6.91913366e-02]\n  [9.38764155e-01 4.41653780e-09 5.83967079e-08 6.12356588e-02]\n  [9.42922473e-01 4.72077266e-09 7.19517956e-08 5.70774227e-02]\n  [9.43550467e-01 4.68863037e-09 7.11395813e-08 5.64493760e-02]]\n\n [[9.19927955e-01 6.84807173e-06 2.61276837e-05 8.00390989e-02]\n  [9.29021776e-01 5.90582054e-08 3.85384112e-07 7.09777400e-02]\n  [9.41280723e-01 1.35962299e-08 1.33967362e-07 5.87191731e-02]\n  [9.41477954e-01 1.40324463e-08 1.59268950e-07 5.85219786e-02]\n  [9.39452589e-01 1.33790277e-08 1.71356575e-07 6.05471469e-02]]\n\n [[8.88080359e-01 1.44115416e-04 4.27399151e-04 1.11348175e-01]\n  [9.34873760e-01 5.41664031e-06 1.98085418e-05 6.51009306e-02]\n  [9.48047400e-01 2.44200851e-06 1.03315042e-05 5.19397967e-02]\n  [9.46219444e-01 2.77377444e-06 1.23756936e-05 5.37653305e-02]\n  [9.39711690e-01 3.14038789e-06 1.46362645e-05 6.02704473e-02]]]\nPredicted mask after argmax for 2008_001872: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001872 has shape: (312, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001872. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001872.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001872: (1, 256, 256, 4)\nSome predicted mask values: [[[9.83185589e-01 1.01120612e-07 2.55060371e-07 1.68140903e-02]\n  [9.93202925e-01 5.42641626e-11 1.41003653e-10 6.79701613e-03]\n  [9.95845020e-01 2.02949354e-12 9.23650306e-12 4.15494340e-03]\n  [9.96268630e-01 9.36373375e-13 5.73579725e-12 3.73137649e-03]\n  [9.96626556e-01 4.12748828e-13 2.96720396e-12 3.37344292e-03]]\n\n [[9.94531393e-01 3.39249392e-11 2.07323755e-10 5.46854548e-03]\n  [9.95090604e-01 2.26305308e-15 1.74034066e-14 4.90931701e-03]\n  [9.94870603e-01 1.00444542e-16 1.76477515e-15 5.12930285e-03]\n  [9.94437456e-01 1.02400963e-16 2.96120707e-15 5.56252105e-03]\n  [9.94395971e-01 4.48475987e-17 1.89796197e-15 5.60402265e-03]]\n\n [[9.97983932e-01 1.06407981e-12 1.21125159e-11 2.01609987e-03]\n  [9.97859299e-01 4.95712566e-17 9.80804966e-16 2.14067684e-03]\n  [9.97050047e-01 3.71434742e-18 2.92252069e-16 2.94990023e-03]\n  [9.95877147e-01 6.32831467e-18 9.72013929e-16 4.12282255e-03]\n  [9.95678425e-01 2.88761142e-18 6.92525614e-16 4.32152720e-03]]\n\n ...\n\n [[9.27502930e-01 3.38738460e-06 1.33796439e-05 7.24802464e-02]\n  [9.30808485e-01 2.26226220e-08 1.80445767e-07 6.91913366e-02]\n  [9.38764155e-01 4.41653780e-09 5.83967079e-08 6.12356588e-02]\n  [9.42922473e-01 4.72077266e-09 7.19517956e-08 5.70774227e-02]\n  [9.43550467e-01 4.68863037e-09 7.11395813e-08 5.64493760e-02]]\n\n [[9.19927955e-01 6.84807173e-06 2.61276837e-05 8.00390989e-02]\n  [9.29021776e-01 5.90582054e-08 3.85384112e-07 7.09777400e-02]\n  [9.41280723e-01 1.35962299e-08 1.33967362e-07 5.87191731e-02]\n  [9.41477954e-01 1.40324463e-08 1.59268950e-07 5.85219786e-02]\n  [9.39452589e-01 1.33790277e-08 1.71356575e-07 6.05471469e-02]]\n\n [[8.88080359e-01 1.44115416e-04 4.27399151e-04 1.11348175e-01]\n  [9.34873760e-01 5.41664031e-06 1.98085418e-05 6.51009306e-02]\n  [9.48047400e-01 2.44200851e-06 1.03315042e-05 5.19397967e-02]\n  [9.46219444e-01 2.77377444e-06 1.23756936e-05 5.37653305e-02]\n  [9.39711690e-01 3.14038789e-06 1.46362645e-05 6.02704473e-02]]]\nPredicted mask after argmax for 2008_001872: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001872 has shape: (312, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001872. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001876: (1, 256, 256, 4)\nSome predicted mask values: [[[9.36618030e-01 2.92554942e-05 5.18602938e-05 6.33008704e-02]\n  [9.58698392e-01 3.53281848e-07 6.40283304e-07 4.13006060e-02]\n  [9.65322495e-01 7.52962208e-08 2.05165321e-07 3.46771851e-02]\n  [9.64018226e-01 7.65723414e-08 2.55028198e-07 3.59813906e-02]\n  [9.62440610e-01 6.70492710e-08 2.51063994e-07 3.75590511e-02]]\n\n [[9.71797287e-01 1.33364622e-07 4.32990760e-07 2.82020867e-02]\n  [9.70128596e-01 4.44160264e-10 1.62380653e-09 2.98713986e-02]\n  [9.66435373e-01 1.15065645e-10 7.57187146e-10 3.35646011e-02]\n  [9.61416066e-01 2.07163786e-10 1.91095628e-09 3.85839865e-02]\n  [9.58984256e-01 1.85766000e-10 2.19410556e-09 4.10158113e-02]]\n\n [[9.84735608e-01 1.35878055e-08 6.40761542e-08 1.52643239e-02]\n  [9.82074738e-01 3.60195415e-11 2.28441308e-10 1.79253612e-02]\n  [9.76660252e-01 1.27143860e-11 2.01486272e-10 2.33397502e-02]\n  [9.67451870e-01 3.08768497e-11 7.21313898e-10 3.25480849e-02]\n  [9.66419339e-01 2.34801085e-11 7.05153380e-10 3.35805975e-02]]\n\n ...\n\n [[9.06029224e-01 2.52258324e-05 7.74448417e-05 9.38680843e-02]\n  [9.00463104e-01 6.15239401e-07 2.95379982e-06 9.95332003e-02]\n  [9.07417655e-01 2.31404144e-07 1.66868585e-06 9.25805122e-02]\n  [9.05384004e-01 3.40623245e-07 2.75008892e-06 9.46129635e-02]\n  [9.02387798e-01 4.06651480e-07 3.22138635e-06 9.76085141e-02]]\n\n [[8.92607629e-01 5.88372786e-05 1.68210536e-04 1.07165307e-01]\n  [8.93850207e-01 1.88444494e-06 7.53493350e-06 1.06140301e-01]\n  [9.06606615e-01 8.03719843e-07 4.55044437e-06 9.33880433e-02]\n  [9.02388394e-01 1.06744085e-06 6.54775977e-06 9.76039693e-02]\n  [8.96099806e-01 1.13855845e-06 7.41292934e-06 1.03891656e-01]]\n\n [[8.50377381e-01 7.40107265e-04 1.74645812e-03 1.47136062e-01]\n  [8.96024466e-01 7.21878168e-05 1.94952285e-04 1.03708386e-01]\n  [9.07309592e-01 5.06563338e-05 1.48874460e-04 9.24909487e-02]\n  [9.02562082e-01 6.39202844e-05 1.93639833e-04 9.71803069e-02]\n  [8.94855320e-01 6.75720876e-05 2.07408084e-04 1.04869790e-01]]]\nPredicted mask after argmax for 2008_001876: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001876 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001876. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001876: (1, 256, 256, 4)\nSome predicted mask values: [[[9.36618030e-01 2.92554942e-05 5.18602938e-05 6.33008704e-02]\n  [9.58698392e-01 3.53281848e-07 6.40283304e-07 4.13006060e-02]\n  [9.65322495e-01 7.52962208e-08 2.05165321e-07 3.46771851e-02]\n  [9.64018226e-01 7.65723414e-08 2.55028198e-07 3.59813906e-02]\n  [9.62440610e-01 6.70492710e-08 2.51063994e-07 3.75590511e-02]]\n\n [[9.71797287e-01 1.33364622e-07 4.32990760e-07 2.82020867e-02]\n  [9.70128596e-01 4.44160264e-10 1.62380653e-09 2.98713986e-02]\n  [9.66435373e-01 1.15065645e-10 7.57187146e-10 3.35646011e-02]\n  [9.61416066e-01 2.07163786e-10 1.91095628e-09 3.85839865e-02]\n  [9.58984256e-01 1.85766000e-10 2.19410556e-09 4.10158113e-02]]\n\n [[9.84735608e-01 1.35878055e-08 6.40761542e-08 1.52643239e-02]\n  [9.82074738e-01 3.60195415e-11 2.28441308e-10 1.79253612e-02]\n  [9.76660252e-01 1.27143860e-11 2.01486272e-10 2.33397502e-02]\n  [9.67451870e-01 3.08768497e-11 7.21313898e-10 3.25480849e-02]\n  [9.66419339e-01 2.34801085e-11 7.05153380e-10 3.35805975e-02]]\n\n ...\n\n [[9.06029224e-01 2.52258324e-05 7.74448417e-05 9.38680843e-02]\n  [9.00463104e-01 6.15239401e-07 2.95379982e-06 9.95332003e-02]\n  [9.07417655e-01 2.31404144e-07 1.66868585e-06 9.25805122e-02]\n  [9.05384004e-01 3.40623245e-07 2.75008892e-06 9.46129635e-02]\n  [9.02387798e-01 4.06651480e-07 3.22138635e-06 9.76085141e-02]]\n\n [[8.92607629e-01 5.88372786e-05 1.68210536e-04 1.07165307e-01]\n  [8.93850207e-01 1.88444494e-06 7.53493350e-06 1.06140301e-01]\n  [9.06606615e-01 8.03719843e-07 4.55044437e-06 9.33880433e-02]\n  [9.02388394e-01 1.06744085e-06 6.54775977e-06 9.76039693e-02]\n  [8.96099806e-01 1.13855845e-06 7.41292934e-06 1.03891656e-01]]\n\n [[8.50377381e-01 7.40107265e-04 1.74645812e-03 1.47136062e-01]\n  [8.96024466e-01 7.21878168e-05 1.94952285e-04 1.03708386e-01]\n  [9.07309592e-01 5.06563338e-05 1.48874460e-04 9.24909487e-02]\n  [9.02562082e-01 6.39202844e-05 1.93639833e-04 9.71803069e-02]\n  [8.94855320e-01 6.75720876e-05 2.07408084e-04 1.04869790e-01]]]\nPredicted mask after argmax for 2008_001876: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001876 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001876. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001876: (1, 256, 256, 4)\nSome predicted mask values: [[[9.36618030e-01 2.92554942e-05 5.18602938e-05 6.33008704e-02]\n  [9.58698392e-01 3.53281848e-07 6.40283304e-07 4.13006060e-02]\n  [9.65322495e-01 7.52962208e-08 2.05165321e-07 3.46771851e-02]\n  [9.64018226e-01 7.65723414e-08 2.55028198e-07 3.59813906e-02]\n  [9.62440610e-01 6.70492710e-08 2.51063994e-07 3.75590511e-02]]\n\n [[9.71797287e-01 1.33364622e-07 4.32990760e-07 2.82020867e-02]\n  [9.70128596e-01 4.44160264e-10 1.62380653e-09 2.98713986e-02]\n  [9.66435373e-01 1.15065645e-10 7.57187146e-10 3.35646011e-02]\n  [9.61416066e-01 2.07163786e-10 1.91095628e-09 3.85839865e-02]\n  [9.58984256e-01 1.85766000e-10 2.19410556e-09 4.10158113e-02]]\n\n [[9.84735608e-01 1.35878055e-08 6.40761542e-08 1.52643239e-02]\n  [9.82074738e-01 3.60195415e-11 2.28441308e-10 1.79253612e-02]\n  [9.76660252e-01 1.27143860e-11 2.01486272e-10 2.33397502e-02]\n  [9.67451870e-01 3.08768497e-11 7.21313898e-10 3.25480849e-02]\n  [9.66419339e-01 2.34801085e-11 7.05153380e-10 3.35805975e-02]]\n\n ...\n\n [[9.06029224e-01 2.52258324e-05 7.74448417e-05 9.38680843e-02]\n  [9.00463104e-01 6.15239401e-07 2.95379982e-06 9.95332003e-02]\n  [9.07417655e-01 2.31404144e-07 1.66868585e-06 9.25805122e-02]\n  [9.05384004e-01 3.40623245e-07 2.75008892e-06 9.46129635e-02]\n  [9.02387798e-01 4.06651480e-07 3.22138635e-06 9.76085141e-02]]\n\n [[8.92607629e-01 5.88372786e-05 1.68210536e-04 1.07165307e-01]\n  [8.93850207e-01 1.88444494e-06 7.53493350e-06 1.06140301e-01]\n  [9.06606615e-01 8.03719843e-07 4.55044437e-06 9.33880433e-02]\n  [9.02388394e-01 1.06744085e-06 6.54775977e-06 9.76039693e-02]\n  [8.96099806e-01 1.13855845e-06 7.41292934e-06 1.03891656e-01]]\n\n [[8.50377381e-01 7.40107265e-04 1.74645812e-03 1.47136062e-01]\n  [8.96024466e-01 7.21878168e-05 1.94952285e-04 1.03708386e-01]\n  [9.07309592e-01 5.06563338e-05 1.48874460e-04 9.24909487e-02]\n  [9.02562082e-01 6.39202844e-05 1.93639833e-04 9.71803069e-02]\n  [8.94855320e-01 6.75720876e-05 2.07408084e-04 1.04869790e-01]]]\nPredicted mask after argmax for 2008_001876: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001876 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001876. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001885.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001885: (1, 256, 256, 4)\nSome predicted mask values: [[[9.92644250e-01 3.88386256e-09 1.21914390e-08 7.35577801e-03]\n  [9.98154342e-01 2.12521271e-13 6.25070959e-13 1.84567529e-03]\n  [9.99260604e-01 8.54087144e-16 4.62901981e-15 7.39360461e-04]\n  [9.99566257e-01 4.29317888e-17 3.57514740e-16 4.33694921e-04]\n  [9.99768078e-01 1.94177051e-18 2.00970180e-17 2.31946789e-04]]\n\n [[9.97753799e-01 3.74522380e-13 3.28464404e-12 2.24624272e-03]\n  [9.98412371e-01 1.27513242e-18 1.49120233e-17 1.58755225e-03]\n  [9.98693168e-01 4.39563212e-21 1.35637535e-19 1.30682846e-03]\n  [9.99000132e-01 3.49340425e-22 2.26444522e-20 9.99927870e-04]\n  [9.99295831e-01 1.06861299e-23 1.19983083e-21 7.04133825e-04]]\n\n [[9.99329150e-01 6.01643521e-15 1.15381229e-13 6.70850568e-04]\n  [9.99437869e-01 1.18028956e-20 4.99764638e-19 5.62098809e-04]\n  [9.99311924e-01 6.33261121e-23 1.60391872e-20 6.88138069e-04]\n  [9.99368668e-01 7.40797267e-24 5.76731891e-21 6.31298462e-04]\n  [9.99539673e-01 2.16370889e-25 3.69927701e-22 4.60253214e-04]]\n\n ...\n\n [[9.56279695e-01 9.27777592e-07 3.91879121e-06 4.37154807e-02]\n  [9.49520350e-01 7.95032129e-09 4.78634270e-08 5.04796244e-02]\n  [9.52212453e-01 2.05120432e-09 2.73763234e-08 4.77875061e-02]\n  [9.51173663e-01 2.20590657e-09 3.65737876e-08 4.88263257e-02]\n  [9.52023864e-01 1.87781990e-09 3.47444917e-08 4.79761213e-02]]\n\n [[9.37656283e-01 4.90447928e-06 1.83905977e-05 6.23203591e-02]\n  [9.35972333e-01 6.35229469e-08 3.20105215e-07 6.40272722e-02]\n  [9.45986092e-01 1.76981025e-08 1.70202867e-07 5.40137142e-02]\n  [9.43649352e-01 1.74005823e-08 2.04743969e-07 5.63503467e-02]\n  [9.40903485e-01 1.51540949e-08 2.06291830e-07 5.90963438e-02]]\n\n [[8.95438254e-01 1.67189399e-04 4.84896795e-04 1.03909627e-01]\n  [9.29099798e-01 8.99807401e-06 3.19689752e-05 7.08592162e-02]\n  [9.38055575e-01 5.32416561e-06 2.21588616e-05 6.19169101e-02]\n  [9.34485912e-01 6.34500748e-06 2.90280295e-05 6.54787198e-02]\n  [9.26529288e-01 6.45058253e-06 3.16543119e-05 7.34326094e-02]]]\nPredicted mask after argmax for 2008_001885: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001885 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001885. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001885.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001885: (1, 256, 256, 4)\nSome predicted mask values: [[[9.92644250e-01 3.88386256e-09 1.21914390e-08 7.35577801e-03]\n  [9.98154342e-01 2.12521271e-13 6.25070959e-13 1.84567529e-03]\n  [9.99260604e-01 8.54087144e-16 4.62901981e-15 7.39360461e-04]\n  [9.99566257e-01 4.29317888e-17 3.57514740e-16 4.33694921e-04]\n  [9.99768078e-01 1.94177051e-18 2.00970180e-17 2.31946789e-04]]\n\n [[9.97753799e-01 3.74522380e-13 3.28464404e-12 2.24624272e-03]\n  [9.98412371e-01 1.27513242e-18 1.49120233e-17 1.58755225e-03]\n  [9.98693168e-01 4.39563212e-21 1.35637535e-19 1.30682846e-03]\n  [9.99000132e-01 3.49340425e-22 2.26444522e-20 9.99927870e-04]\n  [9.99295831e-01 1.06861299e-23 1.19983083e-21 7.04133825e-04]]\n\n [[9.99329150e-01 6.01643521e-15 1.15381229e-13 6.70850568e-04]\n  [9.99437869e-01 1.18028956e-20 4.99764638e-19 5.62098809e-04]\n  [9.99311924e-01 6.33261121e-23 1.60391872e-20 6.88138069e-04]\n  [9.99368668e-01 7.40797267e-24 5.76731891e-21 6.31298462e-04]\n  [9.99539673e-01 2.16370889e-25 3.69927701e-22 4.60253214e-04]]\n\n ...\n\n [[9.56279695e-01 9.27777592e-07 3.91879121e-06 4.37154807e-02]\n  [9.49520350e-01 7.95032129e-09 4.78634270e-08 5.04796244e-02]\n  [9.52212453e-01 2.05120432e-09 2.73763234e-08 4.77875061e-02]\n  [9.51173663e-01 2.20590657e-09 3.65737876e-08 4.88263257e-02]\n  [9.52023864e-01 1.87781990e-09 3.47444917e-08 4.79761213e-02]]\n\n [[9.37656283e-01 4.90447928e-06 1.83905977e-05 6.23203591e-02]\n  [9.35972333e-01 6.35229469e-08 3.20105215e-07 6.40272722e-02]\n  [9.45986092e-01 1.76981025e-08 1.70202867e-07 5.40137142e-02]\n  [9.43649352e-01 1.74005823e-08 2.04743969e-07 5.63503467e-02]\n  [9.40903485e-01 1.51540949e-08 2.06291830e-07 5.90963438e-02]]\n\n [[8.95438254e-01 1.67189399e-04 4.84896795e-04 1.03909627e-01]\n  [9.29099798e-01 8.99807401e-06 3.19689752e-05 7.08592162e-02]\n  [9.38055575e-01 5.32416561e-06 2.21588616e-05 6.19169101e-02]\n  [9.34485912e-01 6.34500748e-06 2.90280295e-05 6.54787198e-02]\n  [9.26529288e-01 6.45058253e-06 3.16543119e-05 7.34326094e-02]]]\nPredicted mask after argmax for 2008_001885: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001885 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001885. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001885.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001885: (1, 256, 256, 4)\nSome predicted mask values: [[[9.92644250e-01 3.88386256e-09 1.21914390e-08 7.35577801e-03]\n  [9.98154342e-01 2.12521271e-13 6.25070959e-13 1.84567529e-03]\n  [9.99260604e-01 8.54087144e-16 4.62901981e-15 7.39360461e-04]\n  [9.99566257e-01 4.29317888e-17 3.57514740e-16 4.33694921e-04]\n  [9.99768078e-01 1.94177051e-18 2.00970180e-17 2.31946789e-04]]\n\n [[9.97753799e-01 3.74522380e-13 3.28464404e-12 2.24624272e-03]\n  [9.98412371e-01 1.27513242e-18 1.49120233e-17 1.58755225e-03]\n  [9.98693168e-01 4.39563212e-21 1.35637535e-19 1.30682846e-03]\n  [9.99000132e-01 3.49340425e-22 2.26444522e-20 9.99927870e-04]\n  [9.99295831e-01 1.06861299e-23 1.19983083e-21 7.04133825e-04]]\n\n [[9.99329150e-01 6.01643521e-15 1.15381229e-13 6.70850568e-04]\n  [9.99437869e-01 1.18028956e-20 4.99764638e-19 5.62098809e-04]\n  [9.99311924e-01 6.33261121e-23 1.60391872e-20 6.88138069e-04]\n  [9.99368668e-01 7.40797267e-24 5.76731891e-21 6.31298462e-04]\n  [9.99539673e-01 2.16370889e-25 3.69927701e-22 4.60253214e-04]]\n\n ...\n\n [[9.56279695e-01 9.27777592e-07 3.91879121e-06 4.37154807e-02]\n  [9.49520350e-01 7.95032129e-09 4.78634270e-08 5.04796244e-02]\n  [9.52212453e-01 2.05120432e-09 2.73763234e-08 4.77875061e-02]\n  [9.51173663e-01 2.20590657e-09 3.65737876e-08 4.88263257e-02]\n  [9.52023864e-01 1.87781990e-09 3.47444917e-08 4.79761213e-02]]\n\n [[9.37656283e-01 4.90447928e-06 1.83905977e-05 6.23203591e-02]\n  [9.35972333e-01 6.35229469e-08 3.20105215e-07 6.40272722e-02]\n  [9.45986092e-01 1.76981025e-08 1.70202867e-07 5.40137142e-02]\n  [9.43649352e-01 1.74005823e-08 2.04743969e-07 5.63503467e-02]\n  [9.40903485e-01 1.51540949e-08 2.06291830e-07 5.90963438e-02]]\n\n [[8.95438254e-01 1.67189399e-04 4.84896795e-04 1.03909627e-01]\n  [9.29099798e-01 8.99807401e-06 3.19689752e-05 7.08592162e-02]\n  [9.38055575e-01 5.32416561e-06 2.21588616e-05 6.19169101e-02]\n  [9.34485912e-01 6.34500748e-06 2.90280295e-05 6.54787198e-02]\n  [9.26529288e-01 6.45058253e-06 3.16543119e-05 7.34326094e-02]]]\nPredicted mask after argmax for 2008_001885: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001885 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001885. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001895.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001895: (1, 256, 256, 4)\nSome predicted mask values: [[[9.38802958e-01 1.92503030e-05 3.50432820e-05 6.11427985e-02]\n  [9.62990701e-01 1.18376740e-07 2.54337891e-07 3.70089859e-02]\n  [9.70186174e-01 1.51395927e-08 5.43681615e-08 2.98138522e-02]\n  [9.70403910e-01 1.03332436e-08 4.72344048e-08 2.95960568e-02]\n  [9.71148133e-01 6.31821040e-09 3.31406902e-08 2.88518500e-02]]\n\n [[9.77020800e-01 4.05152250e-08 1.47989240e-07 2.29790360e-02]\n  [9.78732407e-01 4.13102122e-11 1.99095684e-10 2.12675855e-02]\n  [9.78429675e-01 4.06564582e-12 4.42934300e-11 2.15703323e-02]\n  [9.77131307e-01 3.82526866e-12 6.29962679e-11 2.28686742e-02]\n  [9.77402985e-01 2.10552951e-12 4.67014760e-11 2.25970745e-02]]\n\n [[9.88777697e-01 2.30682007e-09 1.32272406e-08 1.12223532e-02]\n  [9.88582253e-01 1.25355195e-12 1.17590911e-11 1.14177745e-02]\n  [9.86585259e-01 1.39833308e-13 4.13668665e-12 1.34147359e-02]\n  [9.84648883e-01 1.39429280e-13 6.71929656e-12 1.53510636e-02]\n  [9.85105872e-01 7.02208338e-14 4.59400443e-12 1.48941716e-02]]\n\n ...\n\n [[8.92514884e-01 5.18891175e-05 1.43857120e-04 1.07289344e-01]\n  [8.87352586e-01 1.51810059e-06 6.51950404e-06 1.12639382e-01]\n  [8.93578529e-01 6.39425195e-07 3.94792369e-06 1.06416874e-01]\n  [8.91951799e-01 9.07598519e-07 6.17356545e-06 1.08041018e-01]\n  [8.87436867e-01 1.15749310e-06 7.89531077e-06 1.12553999e-01]]\n\n [[8.83403420e-01 9.24682608e-05 2.45173433e-04 1.16258949e-01]\n  [8.86320055e-01 3.28039573e-06 1.20897375e-05 1.13664687e-01]\n  [8.98306787e-01 1.59566503e-06 8.06854587e-06 1.01683550e-01]\n  [8.92681837e-01 2.23081361e-06 1.20690074e-05 1.07303873e-01]\n  [8.81771624e-01 2.81289886e-06 1.56084134e-05 1.18209995e-01]]\n\n [[8.44132483e-01 9.09932714e-04 2.03992124e-03 1.52917624e-01]\n  [8.93337607e-01 9.05470952e-05 2.35007581e-04 1.06336907e-01]\n  [9.03855979e-01 6.99655720e-05 1.92862688e-04 9.58811790e-02]\n  [8.97304177e-01 9.62420745e-05 2.71215453e-04 1.02328300e-01]\n  [8.87970746e-01 1.17226999e-04 3.30207578e-04 1.11581907e-01]]]\nPredicted mask after argmax for 2008_001895: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001895 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001895. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001895.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001895: (1, 256, 256, 4)\nSome predicted mask values: [[[9.38802958e-01 1.92503030e-05 3.50432820e-05 6.11427985e-02]\n  [9.62990701e-01 1.18376740e-07 2.54337891e-07 3.70089859e-02]\n  [9.70186174e-01 1.51395927e-08 5.43681615e-08 2.98138522e-02]\n  [9.70403910e-01 1.03332436e-08 4.72344048e-08 2.95960568e-02]\n  [9.71148133e-01 6.31821040e-09 3.31406902e-08 2.88518500e-02]]\n\n [[9.77020800e-01 4.05152250e-08 1.47989240e-07 2.29790360e-02]\n  [9.78732407e-01 4.13102122e-11 1.99095684e-10 2.12675855e-02]\n  [9.78429675e-01 4.06564582e-12 4.42934300e-11 2.15703323e-02]\n  [9.77131307e-01 3.82526866e-12 6.29962679e-11 2.28686742e-02]\n  [9.77402985e-01 2.10552951e-12 4.67014760e-11 2.25970745e-02]]\n\n [[9.88777697e-01 2.30682007e-09 1.32272406e-08 1.12223532e-02]\n  [9.88582253e-01 1.25355195e-12 1.17590911e-11 1.14177745e-02]\n  [9.86585259e-01 1.39833308e-13 4.13668665e-12 1.34147359e-02]\n  [9.84648883e-01 1.39429280e-13 6.71929656e-12 1.53510636e-02]\n  [9.85105872e-01 7.02208338e-14 4.59400443e-12 1.48941716e-02]]\n\n ...\n\n [[8.92514884e-01 5.18891175e-05 1.43857120e-04 1.07289344e-01]\n  [8.87352586e-01 1.51810059e-06 6.51950404e-06 1.12639382e-01]\n  [8.93578529e-01 6.39425195e-07 3.94792369e-06 1.06416874e-01]\n  [8.91951799e-01 9.07598519e-07 6.17356545e-06 1.08041018e-01]\n  [8.87436867e-01 1.15749310e-06 7.89531077e-06 1.12553999e-01]]\n\n [[8.83403420e-01 9.24682608e-05 2.45173433e-04 1.16258949e-01]\n  [8.86320055e-01 3.28039573e-06 1.20897375e-05 1.13664687e-01]\n  [8.98306787e-01 1.59566503e-06 8.06854587e-06 1.01683550e-01]\n  [8.92681837e-01 2.23081361e-06 1.20690074e-05 1.07303873e-01]\n  [8.81771624e-01 2.81289886e-06 1.56084134e-05 1.18209995e-01]]\n\n [[8.44132483e-01 9.09932714e-04 2.03992124e-03 1.52917624e-01]\n  [8.93337607e-01 9.05470952e-05 2.35007581e-04 1.06336907e-01]\n  [9.03855979e-01 6.99655720e-05 1.92862688e-04 9.58811790e-02]\n  [8.97304177e-01 9.62420745e-05 2.71215453e-04 1.02328300e-01]\n  [8.87970746e-01 1.17226999e-04 3.30207578e-04 1.11581907e-01]]]\nPredicted mask after argmax for 2008_001895: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001895 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001895. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001921.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001921: (1, 256, 256, 4)\nSome predicted mask values: [[[9.59422946e-01 5.15444071e-06 9.59878980e-06 4.05623503e-02]\n  [9.70962822e-01 5.48770451e-08 9.69512257e-08 2.90371217e-02]\n  [9.70626116e-01 1.52873980e-08 5.26618393e-08 2.93739196e-02]\n  [9.65088487e-01 1.52093733e-08 7.99439803e-08 3.49113606e-02]\n  [9.67933834e-01 5.11663156e-09 3.56950700e-08 3.20662409e-02]]\n\n [[9.88352358e-01 3.99127087e-09 1.52788733e-08 1.16476631e-02]\n  [9.84073997e-01 8.00220567e-12 3.17351735e-11 1.59259979e-02]\n  [9.77895081e-01 2.71971031e-12 3.13171850e-11 2.21048556e-02]\n  [9.72306788e-01 5.11542718e-12 1.11899309e-10 2.76931729e-02]\n  [9.74950433e-01 1.28813247e-12 4.65382004e-11 2.50495803e-02]]\n\n [[9.95853245e-01 6.69451092e-11 4.14270923e-10 4.14676359e-03]\n  [9.93553936e-01 6.71222247e-14 5.29140696e-13 6.44600997e-03]\n  [9.88654077e-01 2.79337287e-14 9.77465504e-13 1.13459835e-02]\n  [9.83859599e-01 5.36558882e-14 3.69965647e-12 1.61403976e-02]\n  [9.85948741e-01 1.15927513e-14 1.29112693e-12 1.40512157e-02]]\n\n ...\n\n [[8.72897327e-01 1.60262003e-04 3.97862168e-04 1.26544595e-01]\n  [8.62463593e-01 9.21270021e-06 3.20226645e-05 1.37495160e-01]\n  [8.66153657e-01 5.45725516e-06 2.59833923e-05 1.33814842e-01]\n  [8.62544835e-01 7.73921056e-06 3.99084893e-05 1.37407616e-01]\n  [8.61332238e-01 7.98877863e-06 4.21603254e-05 1.38617560e-01]]\n\n [[8.57687414e-01 3.01825610e-04 7.12685578e-04 1.41298115e-01]\n  [8.56420100e-01 2.03871459e-05 6.35928882e-05 1.43495917e-01]\n  [8.66011202e-01 1.28448073e-05 5.24199349e-05 1.33923516e-01]\n  [8.57915342e-01 1.76001631e-05 7.54785506e-05 1.41991600e-01]\n  [8.52136314e-01 1.80567531e-05 8.18736007e-05 1.47763744e-01]]\n\n [[8.11253965e-01 2.32740887e-03 4.71632835e-03 1.81702256e-01]\n  [8.54243934e-01 3.95388430e-04 8.91852949e-04 1.44468799e-01]\n  [8.62924755e-01 3.56017059e-04 8.58192157e-04 1.35860994e-01]\n  [8.53156447e-01 4.65209800e-04 1.14275666e-03 1.45235553e-01]\n  [8.44339132e-01 4.93646425e-04 1.23182393e-03 1.53935477e-01]]]\nPredicted mask after argmax for 2008_001921: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001921 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001921. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001921.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001921: (1, 256, 256, 4)\nSome predicted mask values: [[[9.59422946e-01 5.15444071e-06 9.59878980e-06 4.05623503e-02]\n  [9.70962822e-01 5.48770451e-08 9.69512257e-08 2.90371217e-02]\n  [9.70626116e-01 1.52873980e-08 5.26618393e-08 2.93739196e-02]\n  [9.65088487e-01 1.52093733e-08 7.99439803e-08 3.49113606e-02]\n  [9.67933834e-01 5.11663156e-09 3.56950700e-08 3.20662409e-02]]\n\n [[9.88352358e-01 3.99127087e-09 1.52788733e-08 1.16476631e-02]\n  [9.84073997e-01 8.00220567e-12 3.17351735e-11 1.59259979e-02]\n  [9.77895081e-01 2.71971031e-12 3.13171850e-11 2.21048556e-02]\n  [9.72306788e-01 5.11542718e-12 1.11899309e-10 2.76931729e-02]\n  [9.74950433e-01 1.28813247e-12 4.65382004e-11 2.50495803e-02]]\n\n [[9.95853245e-01 6.69451092e-11 4.14270923e-10 4.14676359e-03]\n  [9.93553936e-01 6.71222247e-14 5.29140696e-13 6.44600997e-03]\n  [9.88654077e-01 2.79337287e-14 9.77465504e-13 1.13459835e-02]\n  [9.83859599e-01 5.36558882e-14 3.69965647e-12 1.61403976e-02]\n  [9.85948741e-01 1.15927513e-14 1.29112693e-12 1.40512157e-02]]\n\n ...\n\n [[8.72897327e-01 1.60262003e-04 3.97862168e-04 1.26544595e-01]\n  [8.62463593e-01 9.21270021e-06 3.20226645e-05 1.37495160e-01]\n  [8.66153657e-01 5.45725516e-06 2.59833923e-05 1.33814842e-01]\n  [8.62544835e-01 7.73921056e-06 3.99084893e-05 1.37407616e-01]\n  [8.61332238e-01 7.98877863e-06 4.21603254e-05 1.38617560e-01]]\n\n [[8.57687414e-01 3.01825610e-04 7.12685578e-04 1.41298115e-01]\n  [8.56420100e-01 2.03871459e-05 6.35928882e-05 1.43495917e-01]\n  [8.66011202e-01 1.28448073e-05 5.24199349e-05 1.33923516e-01]\n  [8.57915342e-01 1.76001631e-05 7.54785506e-05 1.41991600e-01]\n  [8.52136314e-01 1.80567531e-05 8.18736007e-05 1.47763744e-01]]\n\n [[8.11253965e-01 2.32740887e-03 4.71632835e-03 1.81702256e-01]\n  [8.54243934e-01 3.95388430e-04 8.91852949e-04 1.44468799e-01]\n  [8.62924755e-01 3.56017059e-04 8.58192157e-04 1.35860994e-01]\n  [8.53156447e-01 4.65209800e-04 1.14275666e-03 1.45235553e-01]\n  [8.44339132e-01 4.93646425e-04 1.23182393e-03 1.53935477e-01]]]\nPredicted mask after argmax for 2008_001921: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001921 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001921. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001934.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001934: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86334682e-01 4.26340989e-08 1.18958361e-07 1.36652132e-02]\n  [9.95890141e-01 7.22885076e-12 2.06264537e-11 4.10985714e-03]\n  [9.98188794e-01 5.93052625e-14 2.89323199e-13 1.81125558e-03]\n  [9.98845100e-01 5.71034419e-15 3.81217715e-14 1.15488051e-03]\n  [9.99275506e-01 5.97640031e-16 4.57461785e-15 7.24476296e-04]]\n\n [[9.95001376e-01 1.40489903e-11 9.88048185e-11 4.99859266e-03]\n  [9.96426284e-01 2.13925463e-16 2.03534394e-15 3.57377273e-03]\n  [9.97110963e-01 1.54718374e-18 3.34529508e-17 2.88904412e-03]\n  [9.97645199e-01 2.44696750e-19 9.21488136e-18 2.35482212e-03]\n  [9.98097241e-01 2.15617018e-20 1.21838503e-18 1.90282462e-03]]\n\n [[9.98142362e-01 4.77936430e-13 6.76622517e-12 1.85761054e-03]\n  [9.98455524e-01 4.75723813e-18 1.40985855e-16 1.54446461e-03]\n  [9.98296678e-01 5.20576522e-20 6.73658703e-18 1.70338177e-03]\n  [9.98357475e-01 1.22255695e-20 3.66721798e-18 1.64245896e-03]\n  [9.98613596e-01 1.17793064e-21 6.21821703e-19 1.38638203e-03]]\n\n ...\n\n [[9.43895817e-01 1.26743873e-06 5.35099707e-06 5.60974963e-02]\n  [9.42364573e-01 7.66753683e-09 6.33868424e-08 5.76352887e-02]\n  [9.45261180e-01 1.79999604e-09 2.54367070e-08 5.47387823e-02]\n  [9.47809696e-01 2.23032814e-09 3.79127059e-08 5.21903187e-02]\n  [9.48079646e-01 2.23990870e-09 3.88372001e-08 5.19203097e-02]]\n\n [[9.36845899e-01 2.80238601e-06 1.10422097e-05 6.31402731e-02]\n  [9.41896141e-01 2.16895586e-08 1.41607799e-07 5.81037253e-02]\n  [9.49533820e-01 6.13781026e-09 6.35504520e-08 5.04661053e-02]\n  [9.45814013e-01 8.25581470e-09 9.68760787e-08 5.41859046e-02]\n  [9.43904519e-01 8.48969961e-09 1.12334178e-07 5.60953468e-02]]\n\n [[9.05445933e-01 7.24411220e-05 2.24297983e-04 9.42573920e-02]\n  [9.45722103e-01 2.38187022e-06 9.00102532e-06 5.42664826e-02]\n  [9.55202162e-01 1.31319121e-06 5.56456826e-06 4.47908826e-02]\n  [9.52323616e-01 1.83588429e-06 8.20553032e-06 4.76663746e-02]\n  [9.47122276e-01 2.13371322e-06 9.85420957e-06 5.28657995e-02]]]\nPredicted mask after argmax for 2008_001934: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001934 has shape: (250, 182)\nSome values of resized mask: [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]]\nNo valid RLE found for 2008_001934. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001934.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001934: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86334682e-01 4.26340989e-08 1.18958361e-07 1.36652132e-02]\n  [9.95890141e-01 7.22885076e-12 2.06264537e-11 4.10985714e-03]\n  [9.98188794e-01 5.93052625e-14 2.89323199e-13 1.81125558e-03]\n  [9.98845100e-01 5.71034419e-15 3.81217715e-14 1.15488051e-03]\n  [9.99275506e-01 5.97640031e-16 4.57461785e-15 7.24476296e-04]]\n\n [[9.95001376e-01 1.40489903e-11 9.88048185e-11 4.99859266e-03]\n  [9.96426284e-01 2.13925463e-16 2.03534394e-15 3.57377273e-03]\n  [9.97110963e-01 1.54718374e-18 3.34529508e-17 2.88904412e-03]\n  [9.97645199e-01 2.44696750e-19 9.21488136e-18 2.35482212e-03]\n  [9.98097241e-01 2.15617018e-20 1.21838503e-18 1.90282462e-03]]\n\n [[9.98142362e-01 4.77936430e-13 6.76622517e-12 1.85761054e-03]\n  [9.98455524e-01 4.75723813e-18 1.40985855e-16 1.54446461e-03]\n  [9.98296678e-01 5.20576522e-20 6.73658703e-18 1.70338177e-03]\n  [9.98357475e-01 1.22255695e-20 3.66721798e-18 1.64245896e-03]\n  [9.98613596e-01 1.17793064e-21 6.21821703e-19 1.38638203e-03]]\n\n ...\n\n [[9.43895817e-01 1.26743873e-06 5.35099707e-06 5.60974963e-02]\n  [9.42364573e-01 7.66753683e-09 6.33868424e-08 5.76352887e-02]\n  [9.45261180e-01 1.79999604e-09 2.54367070e-08 5.47387823e-02]\n  [9.47809696e-01 2.23032814e-09 3.79127059e-08 5.21903187e-02]\n  [9.48079646e-01 2.23990870e-09 3.88372001e-08 5.19203097e-02]]\n\n [[9.36845899e-01 2.80238601e-06 1.10422097e-05 6.31402731e-02]\n  [9.41896141e-01 2.16895586e-08 1.41607799e-07 5.81037253e-02]\n  [9.49533820e-01 6.13781026e-09 6.35504520e-08 5.04661053e-02]\n  [9.45814013e-01 8.25581470e-09 9.68760787e-08 5.41859046e-02]\n  [9.43904519e-01 8.48969961e-09 1.12334178e-07 5.60953468e-02]]\n\n [[9.05445933e-01 7.24411220e-05 2.24297983e-04 9.42573920e-02]\n  [9.45722103e-01 2.38187022e-06 9.00102532e-06 5.42664826e-02]\n  [9.55202162e-01 1.31319121e-06 5.56456826e-06 4.47908826e-02]\n  [9.52323616e-01 1.83588429e-06 8.20553032e-06 4.76663746e-02]\n  [9.47122276e-01 2.13371322e-06 9.85420957e-06 5.28657995e-02]]]\nPredicted mask after argmax for 2008_001934: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001934 has shape: (250, 182)\nSome values of resized mask: [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]]\nNo valid RLE found for 2008_001934. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001934.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001934: (1, 256, 256, 4)\nSome predicted mask values: [[[9.86334682e-01 4.26340989e-08 1.18958361e-07 1.36652132e-02]\n  [9.95890141e-01 7.22885076e-12 2.06264537e-11 4.10985714e-03]\n  [9.98188794e-01 5.93052625e-14 2.89323199e-13 1.81125558e-03]\n  [9.98845100e-01 5.71034419e-15 3.81217715e-14 1.15488051e-03]\n  [9.99275506e-01 5.97640031e-16 4.57461785e-15 7.24476296e-04]]\n\n [[9.95001376e-01 1.40489903e-11 9.88048185e-11 4.99859266e-03]\n  [9.96426284e-01 2.13925463e-16 2.03534394e-15 3.57377273e-03]\n  [9.97110963e-01 1.54718374e-18 3.34529508e-17 2.88904412e-03]\n  [9.97645199e-01 2.44696750e-19 9.21488136e-18 2.35482212e-03]\n  [9.98097241e-01 2.15617018e-20 1.21838503e-18 1.90282462e-03]]\n\n [[9.98142362e-01 4.77936430e-13 6.76622517e-12 1.85761054e-03]\n  [9.98455524e-01 4.75723813e-18 1.40985855e-16 1.54446461e-03]\n  [9.98296678e-01 5.20576522e-20 6.73658703e-18 1.70338177e-03]\n  [9.98357475e-01 1.22255695e-20 3.66721798e-18 1.64245896e-03]\n  [9.98613596e-01 1.17793064e-21 6.21821703e-19 1.38638203e-03]]\n\n ...\n\n [[9.43895817e-01 1.26743873e-06 5.35099707e-06 5.60974963e-02]\n  [9.42364573e-01 7.66753683e-09 6.33868424e-08 5.76352887e-02]\n  [9.45261180e-01 1.79999604e-09 2.54367070e-08 5.47387823e-02]\n  [9.47809696e-01 2.23032814e-09 3.79127059e-08 5.21903187e-02]\n  [9.48079646e-01 2.23990870e-09 3.88372001e-08 5.19203097e-02]]\n\n [[9.36845899e-01 2.80238601e-06 1.10422097e-05 6.31402731e-02]\n  [9.41896141e-01 2.16895586e-08 1.41607799e-07 5.81037253e-02]\n  [9.49533820e-01 6.13781026e-09 6.35504520e-08 5.04661053e-02]\n  [9.45814013e-01 8.25581470e-09 9.68760787e-08 5.41859046e-02]\n  [9.43904519e-01 8.48969961e-09 1.12334178e-07 5.60953468e-02]]\n\n [[9.05445933e-01 7.24411220e-05 2.24297983e-04 9.42573920e-02]\n  [9.45722103e-01 2.38187022e-06 9.00102532e-06 5.42664826e-02]\n  [9.55202162e-01 1.31319121e-06 5.56456826e-06 4.47908826e-02]\n  [9.52323616e-01 1.83588429e-06 8.20553032e-06 4.76663746e-02]\n  [9.47122276e-01 2.13371322e-06 9.85420957e-06 5.28657995e-02]]]\nPredicted mask after argmax for 2008_001934: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001934 has shape: (250, 182)\nSome values of resized mask: [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]\n [0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n  0 0]]\nNo valid RLE found for 2008_001934. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001965.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001965: (1, 256, 256, 4)\nSome predicted mask values: [[[9.19680595e-01 7.11383327e-05 1.20996745e-04 8.01272690e-02]\n  [9.45680201e-01 1.12302280e-06 2.14001466e-06 5.43165095e-02]\n  [9.53259945e-01 2.73253420e-07 7.57697023e-07 4.67391051e-02]\n  [9.51725423e-01 2.85570934e-07 9.33343017e-07 4.82732914e-02]\n  [9.49807823e-01 2.60695884e-07 9.39824133e-07 5.01909629e-02]]\n\n [[9.61696804e-01 4.84837585e-07 1.47447281e-06 3.83012183e-02]\n  [9.60298300e-01 2.25491070e-09 8.23416269e-09 3.97016741e-02]\n  [9.57879126e-01 5.54794211e-10 3.64642094e-09 4.21209037e-02]\n  [9.52899873e-01 8.96218322e-10 7.90471422e-09 4.71001416e-02]\n  [9.50940549e-01 8.02317268e-10 8.80622419e-09 4.90593985e-02]]\n\n [[9.77583408e-01 6.25078656e-08 2.71431162e-07 2.24161875e-02]\n  [9.74735856e-01 2.11761983e-10 1.30163080e-09 2.52641346e-02]\n  [9.69646513e-01 6.22182444e-11 8.93173868e-10 3.03535275e-02]\n  [9.62776482e-01 1.07151413e-10 2.19891150e-09 3.72235700e-02]\n  [9.62004185e-01 8.16161097e-11 2.09893747e-09 3.79958414e-02]]\n\n ...\n\n [[9.69404340e-01 1.30980439e-07 6.76499610e-07 3.05947904e-02]\n  [9.67891455e-01 3.79090009e-10 3.18439075e-09 3.21084857e-02]\n  [9.69981074e-01 5.96637392e-11 1.21857413e-09 3.00188884e-02]\n  [9.71525729e-01 4.97918373e-11 1.36751910e-09 2.84742843e-02]\n  [9.73240376e-01 3.56782381e-11 1.09257436e-09 2.67596301e-02]]\n\n [[9.54764247e-01 8.72796591e-07 3.98551265e-06 4.52309065e-02]\n  [9.57002223e-01 4.44818093e-09 2.98082661e-08 4.29977588e-02]\n  [9.65262055e-01 8.23819624e-10 1.13146239e-08 3.47379856e-02]\n  [9.63539541e-01 7.00172309e-10 1.22059527e-08 3.64604816e-02]\n  [9.63985980e-01 5.28819155e-10 1.10221317e-08 3.60140316e-02]]\n\n [[9.16481972e-01 5.47311647e-05 1.85095938e-04 8.32782239e-02]\n  [9.48063672e-01 1.71007889e-06 7.18210413e-06 5.19273989e-02]\n  [9.57084477e-01 7.84678832e-07 3.97866233e-06 4.29107137e-02]\n  [9.54879761e-01 8.76210891e-07 4.97120755e-06 4.51143458e-02]\n  [9.49784100e-01 8.40616565e-07 5.20685671e-06 5.02099507e-02]]]\nPredicted mask after argmax for 2008_001965: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001965 has shape: (480, 345)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001965. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001965.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_001965: (1, 256, 256, 4)\nSome predicted mask values: [[[9.19680595e-01 7.11383327e-05 1.20996745e-04 8.01272690e-02]\n  [9.45680201e-01 1.12302280e-06 2.14001466e-06 5.43165095e-02]\n  [9.53259945e-01 2.73253420e-07 7.57697023e-07 4.67391051e-02]\n  [9.51725423e-01 2.85570934e-07 9.33343017e-07 4.82732914e-02]\n  [9.49807823e-01 2.60695884e-07 9.39824133e-07 5.01909629e-02]]\n\n [[9.61696804e-01 4.84837585e-07 1.47447281e-06 3.83012183e-02]\n  [9.60298300e-01 2.25491070e-09 8.23416269e-09 3.97016741e-02]\n  [9.57879126e-01 5.54794211e-10 3.64642094e-09 4.21209037e-02]\n  [9.52899873e-01 8.96218322e-10 7.90471422e-09 4.71001416e-02]\n  [9.50940549e-01 8.02317268e-10 8.80622419e-09 4.90593985e-02]]\n\n [[9.77583408e-01 6.25078656e-08 2.71431162e-07 2.24161875e-02]\n  [9.74735856e-01 2.11761983e-10 1.30163080e-09 2.52641346e-02]\n  [9.69646513e-01 6.22182444e-11 8.93173868e-10 3.03535275e-02]\n  [9.62776482e-01 1.07151413e-10 2.19891150e-09 3.72235700e-02]\n  [9.62004185e-01 8.16161097e-11 2.09893747e-09 3.79958414e-02]]\n\n ...\n\n [[9.69404340e-01 1.30980439e-07 6.76499610e-07 3.05947904e-02]\n  [9.67891455e-01 3.79090009e-10 3.18439075e-09 3.21084857e-02]\n  [9.69981074e-01 5.96637392e-11 1.21857413e-09 3.00188884e-02]\n  [9.71525729e-01 4.97918373e-11 1.36751910e-09 2.84742843e-02]\n  [9.73240376e-01 3.56782381e-11 1.09257436e-09 2.67596301e-02]]\n\n [[9.54764247e-01 8.72796591e-07 3.98551265e-06 4.52309065e-02]\n  [9.57002223e-01 4.44818093e-09 2.98082661e-08 4.29977588e-02]\n  [9.65262055e-01 8.23819624e-10 1.13146239e-08 3.47379856e-02]\n  [9.63539541e-01 7.00172309e-10 1.22059527e-08 3.64604816e-02]\n  [9.63985980e-01 5.28819155e-10 1.10221317e-08 3.60140316e-02]]\n\n [[9.16481972e-01 5.47311647e-05 1.85095938e-04 8.32782239e-02]\n  [9.48063672e-01 1.71007889e-06 7.18210413e-06 5.19273989e-02]\n  [9.57084477e-01 7.84678832e-07 3.97866233e-06 4.29107137e-02]\n  [9.54879761e-01 8.76210891e-07 4.97120755e-06 4.51143458e-02]\n  [9.49784100e-01 8.40616565e-07 5.20685671e-06 5.02099507e-02]]]\nPredicted mask after argmax for 2008_001965: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001965 has shape: (480, 345)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001965. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001965.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001965: (1, 256, 256, 4)\nSome predicted mask values: [[[9.19680595e-01 7.11383327e-05 1.20996745e-04 8.01272690e-02]\n  [9.45680201e-01 1.12302280e-06 2.14001466e-06 5.43165095e-02]\n  [9.53259945e-01 2.73253420e-07 7.57697023e-07 4.67391051e-02]\n  [9.51725423e-01 2.85570934e-07 9.33343017e-07 4.82732914e-02]\n  [9.49807823e-01 2.60695884e-07 9.39824133e-07 5.01909629e-02]]\n\n [[9.61696804e-01 4.84837585e-07 1.47447281e-06 3.83012183e-02]\n  [9.60298300e-01 2.25491070e-09 8.23416269e-09 3.97016741e-02]\n  [9.57879126e-01 5.54794211e-10 3.64642094e-09 4.21209037e-02]\n  [9.52899873e-01 8.96218322e-10 7.90471422e-09 4.71001416e-02]\n  [9.50940549e-01 8.02317268e-10 8.80622419e-09 4.90593985e-02]]\n\n [[9.77583408e-01 6.25078656e-08 2.71431162e-07 2.24161875e-02]\n  [9.74735856e-01 2.11761983e-10 1.30163080e-09 2.52641346e-02]\n  [9.69646513e-01 6.22182444e-11 8.93173868e-10 3.03535275e-02]\n  [9.62776482e-01 1.07151413e-10 2.19891150e-09 3.72235700e-02]\n  [9.62004185e-01 8.16161097e-11 2.09893747e-09 3.79958414e-02]]\n\n ...\n\n [[9.69404340e-01 1.30980439e-07 6.76499610e-07 3.05947904e-02]\n  [9.67891455e-01 3.79090009e-10 3.18439075e-09 3.21084857e-02]\n  [9.69981074e-01 5.96637392e-11 1.21857413e-09 3.00188884e-02]\n  [9.71525729e-01 4.97918373e-11 1.36751910e-09 2.84742843e-02]\n  [9.73240376e-01 3.56782381e-11 1.09257436e-09 2.67596301e-02]]\n\n [[9.54764247e-01 8.72796591e-07 3.98551265e-06 4.52309065e-02]\n  [9.57002223e-01 4.44818093e-09 2.98082661e-08 4.29977588e-02]\n  [9.65262055e-01 8.23819624e-10 1.13146239e-08 3.47379856e-02]\n  [9.63539541e-01 7.00172309e-10 1.22059527e-08 3.64604816e-02]\n  [9.63985980e-01 5.28819155e-10 1.10221317e-08 3.60140316e-02]]\n\n [[9.16481972e-01 5.47311647e-05 1.85095938e-04 8.32782239e-02]\n  [9.48063672e-01 1.71007889e-06 7.18210413e-06 5.19273989e-02]\n  [9.57084477e-01 7.84678832e-07 3.97866233e-06 4.29107137e-02]\n  [9.54879761e-01 8.76210891e-07 4.97120755e-06 4.51143458e-02]\n  [9.49784100e-01 8.40616565e-07 5.20685671e-06 5.02099507e-02]]]\nPredicted mask after argmax for 2008_001965: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001965 has shape: (480, 345)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001965. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001980.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001980: (1, 256, 256, 4)\nSome predicted mask values: [[[9.28921461e-01 3.56642668e-05 6.33565942e-05 7.09794685e-02]\n  [9.54323053e-01 3.48353296e-07 7.57975897e-07 4.56759036e-02]\n  [9.61011410e-01 7.16627540e-08 2.37103237e-07 3.89882848e-02]\n  [9.59490359e-01 7.71783064e-08 3.03652996e-07 4.05091830e-02]\n  [9.57481027e-01 7.36906856e-08 3.19244123e-07 4.25184891e-02]]\n\n [[9.68616366e-01 1.49236016e-07 5.06560411e-07 3.13830338e-02]\n  [9.68411148e-01 3.69281050e-10 1.62264868e-09 3.15888673e-02]\n  [9.67655659e-01 6.80123804e-11 5.90199334e-10 3.23443636e-02]\n  [9.63847339e-01 1.12345522e-10 1.32953115e-09 3.61526869e-02]\n  [9.62101936e-01 1.07014481e-10 1.58185276e-09 3.78980972e-02]]\n\n [[9.82643723e-01 1.54371111e-08 7.81006193e-08 1.73562169e-02]\n  [9.81162310e-01 2.46321470e-11 1.98397423e-10 1.88376848e-02]\n  [9.77327049e-01 5.57647591e-12 1.10905757e-10 2.26729233e-02]\n  [9.73500252e-01 9.09816233e-12 2.61055094e-10 2.64996793e-02]\n  [9.72587824e-01 7.77069901e-12 2.76345308e-10 2.74121370e-02]]\n\n ...\n\n [[8.95336211e-01 5.68007927e-05 1.55849615e-04 1.04451232e-01]\n  [8.86314511e-01 1.90115190e-06 7.66038556e-06 1.13675863e-01]\n  [8.93508136e-01 6.70161342e-07 4.14662190e-06 1.06487110e-01]\n  [8.97397757e-01 5.94888945e-07 4.35119046e-06 1.02597170e-01]\n  [9.00856495e-01 4.27749427e-07 3.37727874e-06 9.91397202e-02]]\n\n [[8.81466389e-01 1.15563191e-04 2.99829873e-04 1.18118204e-01]\n  [8.81780028e-01 4.70183249e-06 1.64173161e-05 1.18198842e-01]\n  [8.95548463e-01 1.86429293e-06 9.43176656e-06 1.04440287e-01]\n  [8.95189404e-01 1.63804759e-06 9.40834070e-06 1.04799613e-01]\n  [8.94588351e-01 1.18776063e-06 7.59327440e-06 1.05402887e-01]]\n\n [[8.39222848e-01 1.14184537e-03 2.50501418e-03 1.57130286e-01]\n  [8.86964798e-01 1.26107843e-04 3.20121238e-04 1.12588927e-01]\n  [8.98621738e-01 8.55272156e-05 2.34597581e-04 1.01058193e-01]\n  [8.98022115e-01 8.50222059e-05 2.47358985e-04 1.01645470e-01]\n  [8.95998538e-01 7.17932344e-05 2.18623245e-04 1.03711054e-01]]]\nPredicted mask after argmax for 2008_001980: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001980 has shape: (390, 312)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001980. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001980.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001980: (1, 256, 256, 4)\nSome predicted mask values: [[[9.28921461e-01 3.56642668e-05 6.33565942e-05 7.09794685e-02]\n  [9.54323053e-01 3.48353296e-07 7.57975897e-07 4.56759036e-02]\n  [9.61011410e-01 7.16627540e-08 2.37103237e-07 3.89882848e-02]\n  [9.59490359e-01 7.71783064e-08 3.03652996e-07 4.05091830e-02]\n  [9.57481027e-01 7.36906856e-08 3.19244123e-07 4.25184891e-02]]\n\n [[9.68616366e-01 1.49236016e-07 5.06560411e-07 3.13830338e-02]\n  [9.68411148e-01 3.69281050e-10 1.62264868e-09 3.15888673e-02]\n  [9.67655659e-01 6.80123804e-11 5.90199334e-10 3.23443636e-02]\n  [9.63847339e-01 1.12345522e-10 1.32953115e-09 3.61526869e-02]\n  [9.62101936e-01 1.07014481e-10 1.58185276e-09 3.78980972e-02]]\n\n [[9.82643723e-01 1.54371111e-08 7.81006193e-08 1.73562169e-02]\n  [9.81162310e-01 2.46321470e-11 1.98397423e-10 1.88376848e-02]\n  [9.77327049e-01 5.57647591e-12 1.10905757e-10 2.26729233e-02]\n  [9.73500252e-01 9.09816233e-12 2.61055094e-10 2.64996793e-02]\n  [9.72587824e-01 7.77069901e-12 2.76345308e-10 2.74121370e-02]]\n\n ...\n\n [[8.95336211e-01 5.68007927e-05 1.55849615e-04 1.04451232e-01]\n  [8.86314511e-01 1.90115190e-06 7.66038556e-06 1.13675863e-01]\n  [8.93508136e-01 6.70161342e-07 4.14662190e-06 1.06487110e-01]\n  [8.97397757e-01 5.94888945e-07 4.35119046e-06 1.02597170e-01]\n  [9.00856495e-01 4.27749427e-07 3.37727874e-06 9.91397202e-02]]\n\n [[8.81466389e-01 1.15563191e-04 2.99829873e-04 1.18118204e-01]\n  [8.81780028e-01 4.70183249e-06 1.64173161e-05 1.18198842e-01]\n  [8.95548463e-01 1.86429293e-06 9.43176656e-06 1.04440287e-01]\n  [8.95189404e-01 1.63804759e-06 9.40834070e-06 1.04799613e-01]\n  [8.94588351e-01 1.18776063e-06 7.59327440e-06 1.05402887e-01]]\n\n [[8.39222848e-01 1.14184537e-03 2.50501418e-03 1.57130286e-01]\n  [8.86964798e-01 1.26107843e-04 3.20121238e-04 1.12588927e-01]\n  [8.98621738e-01 8.55272156e-05 2.34597581e-04 1.01058193e-01]\n  [8.98022115e-01 8.50222059e-05 2.47358985e-04 1.01645470e-01]\n  [8.95998538e-01 7.17932344e-05 2.18623245e-04 1.03711054e-01]]]\nPredicted mask after argmax for 2008_001980: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001980 has shape: (390, 312)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001980. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001980.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_001980: (1, 256, 256, 4)\nSome predicted mask values: [[[9.28921461e-01 3.56642668e-05 6.33565942e-05 7.09794685e-02]\n  [9.54323053e-01 3.48353296e-07 7.57975897e-07 4.56759036e-02]\n  [9.61011410e-01 7.16627540e-08 2.37103237e-07 3.89882848e-02]\n  [9.59490359e-01 7.71783064e-08 3.03652996e-07 4.05091830e-02]\n  [9.57481027e-01 7.36906856e-08 3.19244123e-07 4.25184891e-02]]\n\n [[9.68616366e-01 1.49236016e-07 5.06560411e-07 3.13830338e-02]\n  [9.68411148e-01 3.69281050e-10 1.62264868e-09 3.15888673e-02]\n  [9.67655659e-01 6.80123804e-11 5.90199334e-10 3.23443636e-02]\n  [9.63847339e-01 1.12345522e-10 1.32953115e-09 3.61526869e-02]\n  [9.62101936e-01 1.07014481e-10 1.58185276e-09 3.78980972e-02]]\n\n [[9.82643723e-01 1.54371111e-08 7.81006193e-08 1.73562169e-02]\n  [9.81162310e-01 2.46321470e-11 1.98397423e-10 1.88376848e-02]\n  [9.77327049e-01 5.57647591e-12 1.10905757e-10 2.26729233e-02]\n  [9.73500252e-01 9.09816233e-12 2.61055094e-10 2.64996793e-02]\n  [9.72587824e-01 7.77069901e-12 2.76345308e-10 2.74121370e-02]]\n\n ...\n\n [[8.95336211e-01 5.68007927e-05 1.55849615e-04 1.04451232e-01]\n  [8.86314511e-01 1.90115190e-06 7.66038556e-06 1.13675863e-01]\n  [8.93508136e-01 6.70161342e-07 4.14662190e-06 1.06487110e-01]\n  [8.97397757e-01 5.94888945e-07 4.35119046e-06 1.02597170e-01]\n  [9.00856495e-01 4.27749427e-07 3.37727874e-06 9.91397202e-02]]\n\n [[8.81466389e-01 1.15563191e-04 2.99829873e-04 1.18118204e-01]\n  [8.81780028e-01 4.70183249e-06 1.64173161e-05 1.18198842e-01]\n  [8.95548463e-01 1.86429293e-06 9.43176656e-06 1.04440287e-01]\n  [8.95189404e-01 1.63804759e-06 9.40834070e-06 1.04799613e-01]\n  [8.94588351e-01 1.18776063e-06 7.59327440e-06 1.05402887e-01]]\n\n [[8.39222848e-01 1.14184537e-03 2.50501418e-03 1.57130286e-01]\n  [8.86964798e-01 1.26107843e-04 3.20121238e-04 1.12588927e-01]\n  [8.98621738e-01 8.55272156e-05 2.34597581e-04 1.01058193e-01]\n  [8.98022115e-01 8.50222059e-05 2.47358985e-04 1.01645470e-01]\n  [8.95998538e-01 7.17932344e-05 2.18623245e-04 1.03711054e-01]]]\nPredicted mask after argmax for 2008_001980: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001980 has shape: (390, 312)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001980. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001992.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001992: (1, 256, 256, 4)\nSome predicted mask values: [[[9.89309907e-01 1.85917077e-08 5.02874009e-08 1.06901471e-02]\n  [9.95959580e-01 5.44848541e-12 1.37432869e-11 4.04039072e-03]\n  [9.97608900e-01 1.30120063e-13 6.42410116e-13 2.39103590e-03]\n  [9.98027861e-01 3.01436834e-14 2.29950987e-13 1.97211886e-03]\n  [9.98533130e-01 4.69521459e-15 4.62245971e-14 1.46687613e-03]]\n\n [[9.97088671e-01 2.34246628e-12 1.67849172e-11 2.91133113e-03]\n  [9.97256935e-01 6.90052397e-17 5.81714805e-16 2.74311146e-03]\n  [9.96890962e-01 2.26649514e-18 5.09970480e-17 3.10900086e-03]\n  [9.96872306e-01 1.22569493e-18 5.38866512e-17 3.12766153e-03]\n  [9.97338951e-01 1.49794564e-19 1.11728931e-17 2.66098464e-03]]\n\n [[9.99072313e-01 4.76849226e-14 6.37708202e-13 9.27602756e-04]\n  [9.98947322e-01 1.13063337e-18 2.53987809e-17 1.05268380e-03]\n  [9.98336792e-01 7.42270200e-20 8.50333232e-18 1.66319183e-03]\n  [9.97615099e-01 8.46705177e-20 2.31450198e-17 2.38491665e-03]\n  [9.97949541e-01 9.62080523e-21 5.12144327e-18 2.05050549e-03]]\n\n ...\n\n [[9.24205124e-01 4.85952614e-06 1.82073200e-05 7.57718161e-02]\n  [9.27981734e-01 4.09411811e-08 2.99078408e-07 7.20178932e-02]\n  [9.33393419e-01 1.08824576e-08 1.22913050e-07 6.66065589e-02]\n  [9.34791744e-01 1.51088493e-08 1.90164343e-07 6.52080476e-02]\n  [9.33370054e-01 1.88534024e-08 2.32876047e-07 6.66297302e-02]]\n\n [[9.15223360e-01 1.03829452e-05 3.69811496e-05 8.47292393e-02]\n  [9.25059795e-01 1.14556507e-07 6.84863210e-07 7.49393851e-02]\n  [9.34582233e-01 3.48213618e-08 2.99749388e-07 6.54174462e-02]\n  [9.31282401e-01 4.61051748e-08 4.39115638e-07 6.87171519e-02]\n  [9.28919435e-01 5.40652039e-08 5.54695703e-07 7.10799471e-02]]\n\n [[8.79554093e-01 2.01775561e-04 5.66931732e-04 1.19677216e-01]\n  [9.26082909e-01 9.66816879e-06 3.25734873e-05 7.38748685e-02]\n  [9.38641906e-01 5.23386507e-06 2.00224549e-05 6.13328107e-02]\n  [9.34325933e-01 6.92324147e-06 2.74300437e-05 6.56397268e-02]\n  [9.28004563e-01 8.37014795e-06 3.35591030e-05 7.19535351e-02]]]\nPredicted mask after argmax for 2008_001992: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001992 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001992. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001992.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_001992: (1, 256, 256, 4)\nSome predicted mask values: [[[9.89309907e-01 1.85917077e-08 5.02874009e-08 1.06901471e-02]\n  [9.95959580e-01 5.44848541e-12 1.37432869e-11 4.04039072e-03]\n  [9.97608900e-01 1.30120063e-13 6.42410116e-13 2.39103590e-03]\n  [9.98027861e-01 3.01436834e-14 2.29950987e-13 1.97211886e-03]\n  [9.98533130e-01 4.69521459e-15 4.62245971e-14 1.46687613e-03]]\n\n [[9.97088671e-01 2.34246628e-12 1.67849172e-11 2.91133113e-03]\n  [9.97256935e-01 6.90052397e-17 5.81714805e-16 2.74311146e-03]\n  [9.96890962e-01 2.26649514e-18 5.09970480e-17 3.10900086e-03]\n  [9.96872306e-01 1.22569493e-18 5.38866512e-17 3.12766153e-03]\n  [9.97338951e-01 1.49794564e-19 1.11728931e-17 2.66098464e-03]]\n\n [[9.99072313e-01 4.76849226e-14 6.37708202e-13 9.27602756e-04]\n  [9.98947322e-01 1.13063337e-18 2.53987809e-17 1.05268380e-03]\n  [9.98336792e-01 7.42270200e-20 8.50333232e-18 1.66319183e-03]\n  [9.97615099e-01 8.46705177e-20 2.31450198e-17 2.38491665e-03]\n  [9.97949541e-01 9.62080523e-21 5.12144327e-18 2.05050549e-03]]\n\n ...\n\n [[9.24205124e-01 4.85952614e-06 1.82073200e-05 7.57718161e-02]\n  [9.27981734e-01 4.09411811e-08 2.99078408e-07 7.20178932e-02]\n  [9.33393419e-01 1.08824576e-08 1.22913050e-07 6.66065589e-02]\n  [9.34791744e-01 1.51088493e-08 1.90164343e-07 6.52080476e-02]\n  [9.33370054e-01 1.88534024e-08 2.32876047e-07 6.66297302e-02]]\n\n [[9.15223360e-01 1.03829452e-05 3.69811496e-05 8.47292393e-02]\n  [9.25059795e-01 1.14556507e-07 6.84863210e-07 7.49393851e-02]\n  [9.34582233e-01 3.48213618e-08 2.99749388e-07 6.54174462e-02]\n  [9.31282401e-01 4.61051748e-08 4.39115638e-07 6.87171519e-02]\n  [9.28919435e-01 5.40652039e-08 5.54695703e-07 7.10799471e-02]]\n\n [[8.79554093e-01 2.01775561e-04 5.66931732e-04 1.19677216e-01]\n  [9.26082909e-01 9.66816879e-06 3.25734873e-05 7.38748685e-02]\n  [9.38641906e-01 5.23386507e-06 2.00224549e-05 6.13328107e-02]\n  [9.34325933e-01 6.92324147e-06 2.74300437e-05 6.56397268e-02]\n  [9.28004563e-01 8.37014795e-06 3.35591030e-05 7.19535351e-02]]]\nPredicted mask after argmax for 2008_001992: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_001992 has shape: (333, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_001992. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002003.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002003: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33265030e-01 3.70396447e-05 6.43466847e-05 6.66336119e-02]\n  [9.55252290e-01 5.07843652e-07 9.00102748e-07 4.47464064e-02]\n  [9.61840272e-01 1.10643093e-07 3.01096350e-07 3.81592624e-02]\n  [9.60522294e-01 9.93037474e-08 3.41076287e-07 3.94772366e-02]\n  [9.59347248e-01 7.78968783e-08 3.06542120e-07 4.06522825e-02]]\n\n [[9.71100390e-01 1.62300452e-07 5.13483485e-07 2.88990121e-02]\n  [9.68851268e-01 5.92267901e-10 2.13020002e-09 3.11487243e-02]\n  [9.64906096e-01 1.51334251e-10 1.02676623e-09 3.50938849e-02]\n  [9.59857821e-01 2.29620392e-10 2.27975727e-09 4.01422605e-02]\n  [9.58794594e-01 1.68183648e-10 2.19216156e-09 4.12054397e-02]]\n\n [[9.84906793e-01 1.40668908e-08 6.45822951e-08 1.50931058e-02]\n  [9.82032418e-01 3.75658948e-11 2.34760683e-10 1.79675892e-02]\n  [9.76224720e-01 1.26180446e-11 2.05977832e-10 2.37753037e-02]\n  [9.68220234e-01 2.38833744e-11 5.99900518e-10 3.17797959e-02]\n  [9.68737066e-01 1.38300413e-11 4.67002326e-10 3.12629007e-02]]\n\n ...\n\n [[9.03037488e-01 4.34290669e-05 1.23271515e-04 9.67958197e-02]\n  [8.92794728e-01 1.50521009e-06 6.00768817e-06 1.07197866e-01]\n  [8.96448255e-01 7.03179296e-07 4.35747324e-06 1.03546567e-01]\n  [8.92822444e-01 9.84655458e-07 6.78154493e-06 1.07169800e-01]\n  [8.90291035e-01 1.18029891e-06 8.25861298e-06 1.09699495e-01]]\n\n [[8.82791758e-01 1.15089431e-04 2.99655483e-04 1.16793446e-01]\n  [8.81819069e-01 5.09209076e-06 1.75392961e-05 1.18158333e-01]\n  [8.92886341e-01 2.56043040e-06 1.27417143e-05 1.07098348e-01]\n  [8.87134612e-01 3.33801245e-06 1.80941151e-05 1.12843990e-01]\n  [8.78533244e-01 3.92668835e-06 2.25854183e-05 1.21440277e-01]]\n\n [[8.36035192e-01 1.27490342e-03 2.79077701e-03 1.59899145e-01]\n  [8.80248904e-01 1.58848299e-04 3.97070777e-04 1.19195156e-01]\n  [8.88760507e-01 1.28036190e-04 3.46909132e-04 1.10764578e-01]\n  [8.81494462e-01 1.64371013e-04 4.61045478e-04 1.17880210e-01]\n  [8.70657742e-01 1.93012296e-04 5.48737124e-04 1.28600463e-01]]]\nPredicted mask after argmax for 2008_002003: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002003 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002003. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002003.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002003: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33265030e-01 3.70396447e-05 6.43466847e-05 6.66336119e-02]\n  [9.55252290e-01 5.07843652e-07 9.00102748e-07 4.47464064e-02]\n  [9.61840272e-01 1.10643093e-07 3.01096350e-07 3.81592624e-02]\n  [9.60522294e-01 9.93037474e-08 3.41076287e-07 3.94772366e-02]\n  [9.59347248e-01 7.78968783e-08 3.06542120e-07 4.06522825e-02]]\n\n [[9.71100390e-01 1.62300452e-07 5.13483485e-07 2.88990121e-02]\n  [9.68851268e-01 5.92267901e-10 2.13020002e-09 3.11487243e-02]\n  [9.64906096e-01 1.51334251e-10 1.02676623e-09 3.50938849e-02]\n  [9.59857821e-01 2.29620392e-10 2.27975727e-09 4.01422605e-02]\n  [9.58794594e-01 1.68183648e-10 2.19216156e-09 4.12054397e-02]]\n\n [[9.84906793e-01 1.40668908e-08 6.45822951e-08 1.50931058e-02]\n  [9.82032418e-01 3.75658948e-11 2.34760683e-10 1.79675892e-02]\n  [9.76224720e-01 1.26180446e-11 2.05977832e-10 2.37753037e-02]\n  [9.68220234e-01 2.38833744e-11 5.99900518e-10 3.17797959e-02]\n  [9.68737066e-01 1.38300413e-11 4.67002326e-10 3.12629007e-02]]\n\n ...\n\n [[9.03037488e-01 4.34290669e-05 1.23271515e-04 9.67958197e-02]\n  [8.92794728e-01 1.50521009e-06 6.00768817e-06 1.07197866e-01]\n  [8.96448255e-01 7.03179296e-07 4.35747324e-06 1.03546567e-01]\n  [8.92822444e-01 9.84655458e-07 6.78154493e-06 1.07169800e-01]\n  [8.90291035e-01 1.18029891e-06 8.25861298e-06 1.09699495e-01]]\n\n [[8.82791758e-01 1.15089431e-04 2.99655483e-04 1.16793446e-01]\n  [8.81819069e-01 5.09209076e-06 1.75392961e-05 1.18158333e-01]\n  [8.92886341e-01 2.56043040e-06 1.27417143e-05 1.07098348e-01]\n  [8.87134612e-01 3.33801245e-06 1.80941151e-05 1.12843990e-01]\n  [8.78533244e-01 3.92668835e-06 2.25854183e-05 1.21440277e-01]]\n\n [[8.36035192e-01 1.27490342e-03 2.79077701e-03 1.59899145e-01]\n  [8.80248904e-01 1.58848299e-04 3.97070777e-04 1.19195156e-01]\n  [8.88760507e-01 1.28036190e-04 3.46909132e-04 1.10764578e-01]\n  [8.81494462e-01 1.64371013e-04 4.61045478e-04 1.17880210e-01]\n  [8.70657742e-01 1.93012296e-04 5.48737124e-04 1.28600463e-01]]]\nPredicted mask after argmax for 2008_002003: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002003 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002003. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002003.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002003: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33265030e-01 3.70396447e-05 6.43466847e-05 6.66336119e-02]\n  [9.55252290e-01 5.07843652e-07 9.00102748e-07 4.47464064e-02]\n  [9.61840272e-01 1.10643093e-07 3.01096350e-07 3.81592624e-02]\n  [9.60522294e-01 9.93037474e-08 3.41076287e-07 3.94772366e-02]\n  [9.59347248e-01 7.78968783e-08 3.06542120e-07 4.06522825e-02]]\n\n [[9.71100390e-01 1.62300452e-07 5.13483485e-07 2.88990121e-02]\n  [9.68851268e-01 5.92267901e-10 2.13020002e-09 3.11487243e-02]\n  [9.64906096e-01 1.51334251e-10 1.02676623e-09 3.50938849e-02]\n  [9.59857821e-01 2.29620392e-10 2.27975727e-09 4.01422605e-02]\n  [9.58794594e-01 1.68183648e-10 2.19216156e-09 4.12054397e-02]]\n\n [[9.84906793e-01 1.40668908e-08 6.45822951e-08 1.50931058e-02]\n  [9.82032418e-01 3.75658948e-11 2.34760683e-10 1.79675892e-02]\n  [9.76224720e-01 1.26180446e-11 2.05977832e-10 2.37753037e-02]\n  [9.68220234e-01 2.38833744e-11 5.99900518e-10 3.17797959e-02]\n  [9.68737066e-01 1.38300413e-11 4.67002326e-10 3.12629007e-02]]\n\n ...\n\n [[9.03037488e-01 4.34290669e-05 1.23271515e-04 9.67958197e-02]\n  [8.92794728e-01 1.50521009e-06 6.00768817e-06 1.07197866e-01]\n  [8.96448255e-01 7.03179296e-07 4.35747324e-06 1.03546567e-01]\n  [8.92822444e-01 9.84655458e-07 6.78154493e-06 1.07169800e-01]\n  [8.90291035e-01 1.18029891e-06 8.25861298e-06 1.09699495e-01]]\n\n [[8.82791758e-01 1.15089431e-04 2.99655483e-04 1.16793446e-01]\n  [8.81819069e-01 5.09209076e-06 1.75392961e-05 1.18158333e-01]\n  [8.92886341e-01 2.56043040e-06 1.27417143e-05 1.07098348e-01]\n  [8.87134612e-01 3.33801245e-06 1.80941151e-05 1.12843990e-01]\n  [8.78533244e-01 3.92668835e-06 2.25854183e-05 1.21440277e-01]]\n\n [[8.36035192e-01 1.27490342e-03 2.79077701e-03 1.59899145e-01]\n  [8.80248904e-01 1.58848299e-04 3.97070777e-04 1.19195156e-01]\n  [8.88760507e-01 1.28036190e-04 3.46909132e-04 1.10764578e-01]\n  [8.81494462e-01 1.64371013e-04 4.61045478e-04 1.17880210e-01]\n  [8.70657742e-01 1.93012296e-04 5.48737124e-04 1.28600463e-01]]]\nPredicted mask after argmax for 2008_002003: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002003 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002003. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002003.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002003: (1, 256, 256, 4)\nSome predicted mask values: [[[9.33265030e-01 3.70396447e-05 6.43466847e-05 6.66336119e-02]\n  [9.55252290e-01 5.07843652e-07 9.00102748e-07 4.47464064e-02]\n  [9.61840272e-01 1.10643093e-07 3.01096350e-07 3.81592624e-02]\n  [9.60522294e-01 9.93037474e-08 3.41076287e-07 3.94772366e-02]\n  [9.59347248e-01 7.78968783e-08 3.06542120e-07 4.06522825e-02]]\n\n [[9.71100390e-01 1.62300452e-07 5.13483485e-07 2.88990121e-02]\n  [9.68851268e-01 5.92267901e-10 2.13020002e-09 3.11487243e-02]\n  [9.64906096e-01 1.51334251e-10 1.02676623e-09 3.50938849e-02]\n  [9.59857821e-01 2.29620392e-10 2.27975727e-09 4.01422605e-02]\n  [9.58794594e-01 1.68183648e-10 2.19216156e-09 4.12054397e-02]]\n\n [[9.84906793e-01 1.40668908e-08 6.45822951e-08 1.50931058e-02]\n  [9.82032418e-01 3.75658948e-11 2.34760683e-10 1.79675892e-02]\n  [9.76224720e-01 1.26180446e-11 2.05977832e-10 2.37753037e-02]\n  [9.68220234e-01 2.38833744e-11 5.99900518e-10 3.17797959e-02]\n  [9.68737066e-01 1.38300413e-11 4.67002326e-10 3.12629007e-02]]\n\n ...\n\n [[9.03037488e-01 4.34290669e-05 1.23271515e-04 9.67958197e-02]\n  [8.92794728e-01 1.50521009e-06 6.00768817e-06 1.07197866e-01]\n  [8.96448255e-01 7.03179296e-07 4.35747324e-06 1.03546567e-01]\n  [8.92822444e-01 9.84655458e-07 6.78154493e-06 1.07169800e-01]\n  [8.90291035e-01 1.18029891e-06 8.25861298e-06 1.09699495e-01]]\n\n [[8.82791758e-01 1.15089431e-04 2.99655483e-04 1.16793446e-01]\n  [8.81819069e-01 5.09209076e-06 1.75392961e-05 1.18158333e-01]\n  [8.92886341e-01 2.56043040e-06 1.27417143e-05 1.07098348e-01]\n  [8.87134612e-01 3.33801245e-06 1.80941151e-05 1.12843990e-01]\n  [8.78533244e-01 3.92668835e-06 2.25854183e-05 1.21440277e-01]]\n\n [[8.36035192e-01 1.27490342e-03 2.79077701e-03 1.59899145e-01]\n  [8.80248904e-01 1.58848299e-04 3.97070777e-04 1.19195156e-01]\n  [8.88760507e-01 1.28036190e-04 3.46909132e-04 1.10764578e-01]\n  [8.81494462e-01 1.64371013e-04 4.61045478e-04 1.17880210e-01]\n  [8.70657742e-01 1.93012296e-04 5.48737124e-04 1.28600463e-01]]]\nPredicted mask after argmax for 2008_002003: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002003 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002003. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_002004: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8307943e-01 1.6414323e-07 3.8565773e-07 1.6920084e-02]\n  [9.9273658e-01 1.7449220e-10 3.3421751e-10 7.2634830e-03]\n  [9.9512058e-01 8.7310359e-12 2.8610553e-11 4.8793941e-03]\n  [9.9555069e-01 2.8982186e-12 1.4411572e-11 4.4492795e-03]\n  [9.9633670e-01 7.3740249e-13 4.5823341e-12 3.6633590e-03]]\n\n [[9.9485105e-01 6.2903044e-11 3.3135772e-10 5.1488867e-03]\n  [9.9479073e-01 8.2499722e-15 4.5043386e-14 5.2091777e-03]\n  [9.9339515e-01 6.1334984e-16 7.4707916e-15 6.6048629e-03]\n  [9.9276549e-01 4.5685394e-16 1.0661272e-14 7.2345585e-03]\n  [9.9325019e-01 1.1036544e-16 4.0795754e-15 6.7497701e-03]]\n\n [[9.9826032e-01 1.3008793e-12 1.1887580e-11 1.7397469e-03]\n  [9.9802101e-01 1.2681300e-16 1.6320618e-15 1.9790228e-03]\n  [9.9689072e-01 1.6423774e-17 9.3360300e-16 3.1093233e-03]\n  [9.9480480e-01 2.7962185e-17 3.4156282e-15 5.1951660e-03]\n  [9.9488711e-01 7.1435425e-18 1.5684525e-15 5.1128487e-03]]\n\n ...\n\n [[9.0635645e-01 2.4301509e-05 7.3743962e-05 9.3545482e-02]\n  [9.0133917e-01 5.1349895e-07 2.5776935e-06 9.8657712e-02]\n  [9.0575254e-01 1.7465619e-07 1.3230704e-06 9.4245940e-02]\n  [9.0902871e-01 2.0334784e-07 1.8042142e-06 9.0969257e-02]\n  [9.0837729e-01 2.1627329e-07 1.9140964e-06 9.1620579e-02]]\n\n [[8.9802563e-01 4.4113654e-05 1.2705490e-04 1.0180318e-01]\n  [9.0088987e-01 1.1184127e-06 4.7316421e-06 9.9104308e-02]\n  [9.1106528e-01 4.4254276e-07 2.6931586e-06 8.8931628e-02]\n  [9.0673637e-01 5.5249291e-07 3.7064740e-06 9.3259431e-02]\n  [9.0268117e-01 5.8716449e-07 4.2412498e-06 9.7314119e-02]]\n\n [[8.6062771e-01 5.1464210e-04 1.2438511e-03 1.3761380e-01]\n  [9.0769845e-01 3.9674833e-05 1.1221584e-04 9.2149578e-02]\n  [9.1888088e-01 2.6719872e-05 8.2265731e-05 8.1010133e-02]\n  [9.1441935e-01 3.4507662e-05 1.1047972e-04 8.5435547e-02]\n  [9.0716398e-01 3.9319944e-05 1.2794281e-04 9.2668697e-02]]]\nPredicted mask after argmax for 2008_002004: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002004 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002004. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002004: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8307943e-01 1.6414323e-07 3.8565773e-07 1.6920084e-02]\n  [9.9273658e-01 1.7449220e-10 3.3421751e-10 7.2634830e-03]\n  [9.9512058e-01 8.7310359e-12 2.8610553e-11 4.8793941e-03]\n  [9.9555069e-01 2.8982186e-12 1.4411572e-11 4.4492795e-03]\n  [9.9633670e-01 7.3740249e-13 4.5823341e-12 3.6633590e-03]]\n\n [[9.9485105e-01 6.2903044e-11 3.3135772e-10 5.1488867e-03]\n  [9.9479073e-01 8.2499722e-15 4.5043386e-14 5.2091777e-03]\n  [9.9339515e-01 6.1334984e-16 7.4707916e-15 6.6048629e-03]\n  [9.9276549e-01 4.5685394e-16 1.0661272e-14 7.2345585e-03]\n  [9.9325019e-01 1.1036544e-16 4.0795754e-15 6.7497701e-03]]\n\n [[9.9826032e-01 1.3008793e-12 1.1887580e-11 1.7397469e-03]\n  [9.9802101e-01 1.2681300e-16 1.6320618e-15 1.9790228e-03]\n  [9.9689072e-01 1.6423774e-17 9.3360300e-16 3.1093233e-03]\n  [9.9480480e-01 2.7962185e-17 3.4156282e-15 5.1951660e-03]\n  [9.9488711e-01 7.1435425e-18 1.5684525e-15 5.1128487e-03]]\n\n ...\n\n [[9.0635645e-01 2.4301509e-05 7.3743962e-05 9.3545482e-02]\n  [9.0133917e-01 5.1349895e-07 2.5776935e-06 9.8657712e-02]\n  [9.0575254e-01 1.7465619e-07 1.3230704e-06 9.4245940e-02]\n  [9.0902871e-01 2.0334784e-07 1.8042142e-06 9.0969257e-02]\n  [9.0837729e-01 2.1627329e-07 1.9140964e-06 9.1620579e-02]]\n\n [[8.9802563e-01 4.4113654e-05 1.2705490e-04 1.0180318e-01]\n  [9.0088987e-01 1.1184127e-06 4.7316421e-06 9.9104308e-02]\n  [9.1106528e-01 4.4254276e-07 2.6931586e-06 8.8931628e-02]\n  [9.0673637e-01 5.5249291e-07 3.7064740e-06 9.3259431e-02]\n  [9.0268117e-01 5.8716449e-07 4.2412498e-06 9.7314119e-02]]\n\n [[8.6062771e-01 5.1464210e-04 1.2438511e-03 1.3761380e-01]\n  [9.0769845e-01 3.9674833e-05 1.1221584e-04 9.2149578e-02]\n  [9.1888088e-01 2.6719872e-05 8.2265731e-05 8.1010133e-02]\n  [9.1441935e-01 3.4507662e-05 1.1047972e-04 8.5435547e-02]\n  [9.0716398e-01 3.9319944e-05 1.2794281e-04 9.2668697e-02]]]\nPredicted mask after argmax for 2008_002004: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002004 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002004. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002004: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8307943e-01 1.6414323e-07 3.8565773e-07 1.6920084e-02]\n  [9.9273658e-01 1.7449220e-10 3.3421751e-10 7.2634830e-03]\n  [9.9512058e-01 8.7310359e-12 2.8610553e-11 4.8793941e-03]\n  [9.9555069e-01 2.8982186e-12 1.4411572e-11 4.4492795e-03]\n  [9.9633670e-01 7.3740249e-13 4.5823341e-12 3.6633590e-03]]\n\n [[9.9485105e-01 6.2903044e-11 3.3135772e-10 5.1488867e-03]\n  [9.9479073e-01 8.2499722e-15 4.5043386e-14 5.2091777e-03]\n  [9.9339515e-01 6.1334984e-16 7.4707916e-15 6.6048629e-03]\n  [9.9276549e-01 4.5685394e-16 1.0661272e-14 7.2345585e-03]\n  [9.9325019e-01 1.1036544e-16 4.0795754e-15 6.7497701e-03]]\n\n [[9.9826032e-01 1.3008793e-12 1.1887580e-11 1.7397469e-03]\n  [9.9802101e-01 1.2681300e-16 1.6320618e-15 1.9790228e-03]\n  [9.9689072e-01 1.6423774e-17 9.3360300e-16 3.1093233e-03]\n  [9.9480480e-01 2.7962185e-17 3.4156282e-15 5.1951660e-03]\n  [9.9488711e-01 7.1435425e-18 1.5684525e-15 5.1128487e-03]]\n\n ...\n\n [[9.0635645e-01 2.4301509e-05 7.3743962e-05 9.3545482e-02]\n  [9.0133917e-01 5.1349895e-07 2.5776935e-06 9.8657712e-02]\n  [9.0575254e-01 1.7465619e-07 1.3230704e-06 9.4245940e-02]\n  [9.0902871e-01 2.0334784e-07 1.8042142e-06 9.0969257e-02]\n  [9.0837729e-01 2.1627329e-07 1.9140964e-06 9.1620579e-02]]\n\n [[8.9802563e-01 4.4113654e-05 1.2705490e-04 1.0180318e-01]\n  [9.0088987e-01 1.1184127e-06 4.7316421e-06 9.9104308e-02]\n  [9.1106528e-01 4.4254276e-07 2.6931586e-06 8.8931628e-02]\n  [9.0673637e-01 5.5249291e-07 3.7064740e-06 9.3259431e-02]\n  [9.0268117e-01 5.8716449e-07 4.2412498e-06 9.7314119e-02]]\n\n [[8.6062771e-01 5.1464210e-04 1.2438511e-03 1.3761380e-01]\n  [9.0769845e-01 3.9674833e-05 1.1221584e-04 9.2149578e-02]\n  [9.1888088e-01 2.6719872e-05 8.2265731e-05 8.1010133e-02]\n  [9.1441935e-01 3.4507662e-05 1.1047972e-04 8.5435547e-02]\n  [9.0716398e-01 3.9319944e-05 1.2794281e-04 9.2668697e-02]]]\nPredicted mask after argmax for 2008_002004: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002004 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002004. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002033.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_002033: (1, 256, 256, 4)\nSome predicted mask values: [[[9.97440934e-01 5.89687743e-11 2.20935700e-10 2.55907374e-03]\n  [9.99375105e-01 1.03253920e-15 3.32576200e-15 6.24823326e-04]\n  [9.99695480e-01 6.70121886e-18 4.98855753e-17 3.04434448e-04]\n  [9.99761760e-01 9.20196969e-19 1.24197455e-17 2.38213499e-04]\n  [9.99834180e-01 9.50352394e-20 1.76434585e-18 1.65781865e-04]]\n\n [[9.99562562e-01 3.83402317e-16 4.86475882e-15 4.37417824e-04]\n  [9.99638915e-01 2.41860664e-22 3.72307693e-21 3.61085724e-04]\n  [9.99567449e-01 2.13728097e-24 1.16668880e-22 4.32573754e-04]\n  [9.99557316e-01 8.47830624e-25 1.16456935e-22 4.42643155e-04]\n  [9.99626517e-01 6.98324880e-26 1.91811766e-23 3.73518502e-04]]\n\n [[9.99917865e-01 1.21566330e-18 3.67134089e-17 8.20890855e-05]\n  [9.99920964e-01 4.02275724e-25 2.39837397e-23 7.90246995e-05]\n  [9.99855042e-01 7.91444039e-27 4.23163331e-24 1.44953854e-04]\n  [9.99753058e-01 7.98483313e-27 1.45017720e-23 2.46923999e-04]\n  [9.99782562e-01 6.58474244e-28 3.04139228e-24 2.17436784e-04]]\n\n ...\n\n [[9.63703573e-01 6.51880612e-08 4.16416725e-07 3.62958647e-02]\n  [9.75223601e-01 3.93339146e-11 6.30830443e-10 2.47764699e-02]\n  [9.80019569e-01 2.74370782e-12 9.23651433e-11 1.99804027e-02]\n  [9.82158303e-01 2.25707994e-12 9.17376314e-11 1.78417005e-02]\n  [9.82327282e-01 2.34340065e-12 9.63392283e-11 1.76728033e-02]]\n\n [[9.49612021e-01 4.18353324e-07 2.34542381e-06 5.03850915e-02]\n  [9.65306163e-01 6.04485295e-10 6.65478517e-09 3.46937999e-02]\n  [9.73797679e-01 6.47848719e-11 1.25822708e-09 2.62022540e-02]\n  [9.73579586e-01 5.37810733e-11 1.26768818e-09 2.64203660e-02]\n  [9.74228263e-01 4.86516244e-11 1.31163425e-09 2.57717334e-02]]\n\n [[9.12129045e-01 3.49077854e-05 1.35554335e-04 8.77005160e-02]\n  [9.53343570e-01 6.03166541e-07 2.93281278e-06 4.66529764e-02]\n  [9.66477931e-01 1.66750880e-07 1.00549278e-06 3.35209519e-02]\n  [9.65336263e-01 1.81362779e-07 1.18280525e-06 3.46623808e-02]\n  [9.62934315e-01 1.94167484e-07 1.32406740e-06 3.70640904e-02]]]\nPredicted mask after argmax for 2008_002033: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002033 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002033. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002033.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002033: (1, 256, 256, 4)\nSome predicted mask values: [[[9.97440934e-01 5.89687743e-11 2.20935700e-10 2.55907374e-03]\n  [9.99375105e-01 1.03253920e-15 3.32576200e-15 6.24823326e-04]\n  [9.99695480e-01 6.70121886e-18 4.98855753e-17 3.04434448e-04]\n  [9.99761760e-01 9.20196969e-19 1.24197455e-17 2.38213499e-04]\n  [9.99834180e-01 9.50352394e-20 1.76434585e-18 1.65781865e-04]]\n\n [[9.99562562e-01 3.83402317e-16 4.86475882e-15 4.37417824e-04]\n  [9.99638915e-01 2.41860664e-22 3.72307693e-21 3.61085724e-04]\n  [9.99567449e-01 2.13728097e-24 1.16668880e-22 4.32573754e-04]\n  [9.99557316e-01 8.47830624e-25 1.16456935e-22 4.42643155e-04]\n  [9.99626517e-01 6.98324880e-26 1.91811766e-23 3.73518502e-04]]\n\n [[9.99917865e-01 1.21566330e-18 3.67134089e-17 8.20890855e-05]\n  [9.99920964e-01 4.02275724e-25 2.39837397e-23 7.90246995e-05]\n  [9.99855042e-01 7.91444039e-27 4.23163331e-24 1.44953854e-04]\n  [9.99753058e-01 7.98483313e-27 1.45017720e-23 2.46923999e-04]\n  [9.99782562e-01 6.58474244e-28 3.04139228e-24 2.17436784e-04]]\n\n ...\n\n [[9.63703573e-01 6.51880612e-08 4.16416725e-07 3.62958647e-02]\n  [9.75223601e-01 3.93339146e-11 6.30830443e-10 2.47764699e-02]\n  [9.80019569e-01 2.74370782e-12 9.23651433e-11 1.99804027e-02]\n  [9.82158303e-01 2.25707994e-12 9.17376314e-11 1.78417005e-02]\n  [9.82327282e-01 2.34340065e-12 9.63392283e-11 1.76728033e-02]]\n\n [[9.49612021e-01 4.18353324e-07 2.34542381e-06 5.03850915e-02]\n  [9.65306163e-01 6.04485295e-10 6.65478517e-09 3.46937999e-02]\n  [9.73797679e-01 6.47848719e-11 1.25822708e-09 2.62022540e-02]\n  [9.73579586e-01 5.37810733e-11 1.26768818e-09 2.64203660e-02]\n  [9.74228263e-01 4.86516244e-11 1.31163425e-09 2.57717334e-02]]\n\n [[9.12129045e-01 3.49077854e-05 1.35554335e-04 8.77005160e-02]\n  [9.53343570e-01 6.03166541e-07 2.93281278e-06 4.66529764e-02]\n  [9.66477931e-01 1.66750880e-07 1.00549278e-06 3.35209519e-02]\n  [9.65336263e-01 1.81362779e-07 1.18280525e-06 3.46623808e-02]\n  [9.62934315e-01 1.94167484e-07 1.32406740e-06 3.70640904e-02]]]\nPredicted mask after argmax for 2008_002033: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002033 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002033. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002033.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002033: (1, 256, 256, 4)\nSome predicted mask values: [[[9.97440934e-01 5.89687743e-11 2.20935700e-10 2.55907374e-03]\n  [9.99375105e-01 1.03253920e-15 3.32576200e-15 6.24823326e-04]\n  [9.99695480e-01 6.70121886e-18 4.98855753e-17 3.04434448e-04]\n  [9.99761760e-01 9.20196969e-19 1.24197455e-17 2.38213499e-04]\n  [9.99834180e-01 9.50352394e-20 1.76434585e-18 1.65781865e-04]]\n\n [[9.99562562e-01 3.83402317e-16 4.86475882e-15 4.37417824e-04]\n  [9.99638915e-01 2.41860664e-22 3.72307693e-21 3.61085724e-04]\n  [9.99567449e-01 2.13728097e-24 1.16668880e-22 4.32573754e-04]\n  [9.99557316e-01 8.47830624e-25 1.16456935e-22 4.42643155e-04]\n  [9.99626517e-01 6.98324880e-26 1.91811766e-23 3.73518502e-04]]\n\n [[9.99917865e-01 1.21566330e-18 3.67134089e-17 8.20890855e-05]\n  [9.99920964e-01 4.02275724e-25 2.39837397e-23 7.90246995e-05]\n  [9.99855042e-01 7.91444039e-27 4.23163331e-24 1.44953854e-04]\n  [9.99753058e-01 7.98483313e-27 1.45017720e-23 2.46923999e-04]\n  [9.99782562e-01 6.58474244e-28 3.04139228e-24 2.17436784e-04]]\n\n ...\n\n [[9.63703573e-01 6.51880612e-08 4.16416725e-07 3.62958647e-02]\n  [9.75223601e-01 3.93339146e-11 6.30830443e-10 2.47764699e-02]\n  [9.80019569e-01 2.74370782e-12 9.23651433e-11 1.99804027e-02]\n  [9.82158303e-01 2.25707994e-12 9.17376314e-11 1.78417005e-02]\n  [9.82327282e-01 2.34340065e-12 9.63392283e-11 1.76728033e-02]]\n\n [[9.49612021e-01 4.18353324e-07 2.34542381e-06 5.03850915e-02]\n  [9.65306163e-01 6.04485295e-10 6.65478517e-09 3.46937999e-02]\n  [9.73797679e-01 6.47848719e-11 1.25822708e-09 2.62022540e-02]\n  [9.73579586e-01 5.37810733e-11 1.26768818e-09 2.64203660e-02]\n  [9.74228263e-01 4.86516244e-11 1.31163425e-09 2.57717334e-02]]\n\n [[9.12129045e-01 3.49077854e-05 1.35554335e-04 8.77005160e-02]\n  [9.53343570e-01 6.03166541e-07 2.93281278e-06 4.66529764e-02]\n  [9.66477931e-01 1.66750880e-07 1.00549278e-06 3.35209519e-02]\n  [9.65336263e-01 1.81362779e-07 1.18280525e-06 3.46623808e-02]\n  [9.62934315e-01 1.94167484e-07 1.32406740e-06 3.70640904e-02]]]\nPredicted mask after argmax for 2008_002033: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002033 has shape: (500, 375)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002033. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002036.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002036: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5598108e-01 7.4515478e-06 1.3923554e-05 4.3997537e-02]\n  [9.7224176e-01 6.0940302e-08 1.0528034e-07 2.7757950e-02]\n  [9.7676301e-01 1.0777230e-08 3.0142989e-08 2.3236951e-02]\n  [9.7594953e-01 8.9718162e-09 3.3492910e-08 2.4050560e-02]\n  [9.7714281e-01 4.8409996e-09 2.1506253e-08 2.2857180e-02]]\n\n [[9.8344421e-01 1.4328771e-08 5.2281077e-08 1.6555769e-02]\n  [9.8173761e-01 2.4353316e-11 9.4619264e-11 1.8262466e-02]\n  [9.7757703e-01 5.6326519e-12 4.4062875e-11 2.2422938e-02]\n  [9.7358501e-01 9.7367427e-12 1.1831795e-10 2.6414944e-02]\n  [9.7330958e-01 5.3827086e-12 9.0817534e-11 2.6690446e-02]]\n\n [[9.9275583e-01 6.8105133e-10 3.7695198e-09 7.2441641e-03]\n  [9.9115825e-01 7.7808154e-13 5.6333137e-12 8.8417362e-03]\n  [9.8710418e-01 2.4411107e-13 5.5930603e-12 1.2895806e-02]\n  [9.8001534e-01 6.7984854e-13 2.6176649e-11 1.9984638e-02]\n  [9.7971171e-01 3.7880685e-13 2.0743665e-11 2.0288311e-02]]\n\n ...\n\n [[9.1537136e-01 1.6514288e-05 5.3096282e-05 8.4559038e-02]\n  [9.1479939e-01 3.1096974e-07 1.5343135e-06 8.5198730e-02]\n  [9.1369450e-01 1.3544998e-07 1.0479234e-06 8.6304352e-02]\n  [9.1343355e-01 1.9542716e-07 1.7191516e-06 8.6564519e-02]\n  [9.1064602e-01 2.5255403e-07 2.2003139e-06 8.9351550e-02]]\n\n [[8.9687681e-01 4.5326491e-05 1.3833379e-04 1.0293951e-01]\n  [9.0367550e-01 1.0883556e-06 4.7499402e-06 9.6318714e-02]\n  [9.1209233e-01 4.7927114e-07 3.0501028e-06 8.7904215e-02]\n  [9.0624356e-01 6.3987511e-07 4.4095627e-06 9.3751378e-02]\n  [9.0205741e-01 7.5788472e-07 5.5675587e-06 9.7936295e-02]]\n\n [[8.5009676e-01 7.1099872e-04 1.7504892e-03 1.4744167e-01]\n  [8.9397591e-01 6.4388209e-05 1.8384137e-04 1.0577591e-01]\n  [9.0554869e-01 4.5042900e-05 1.4463837e-04 9.4261646e-02]\n  [8.9686388e-01 6.0574865e-05 1.9948142e-04 1.0287602e-01]\n  [8.8697177e-01 7.2142750e-05 2.4054672e-04 1.1271564e-01]]]\nPredicted mask after argmax for 2008_002036: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002036 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002036. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002036.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002036: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5598108e-01 7.4515478e-06 1.3923554e-05 4.3997537e-02]\n  [9.7224176e-01 6.0940302e-08 1.0528034e-07 2.7757950e-02]\n  [9.7676301e-01 1.0777230e-08 3.0142989e-08 2.3236951e-02]\n  [9.7594953e-01 8.9718162e-09 3.3492910e-08 2.4050560e-02]\n  [9.7714281e-01 4.8409996e-09 2.1506253e-08 2.2857180e-02]]\n\n [[9.8344421e-01 1.4328771e-08 5.2281077e-08 1.6555769e-02]\n  [9.8173761e-01 2.4353316e-11 9.4619264e-11 1.8262466e-02]\n  [9.7757703e-01 5.6326519e-12 4.4062875e-11 2.2422938e-02]\n  [9.7358501e-01 9.7367427e-12 1.1831795e-10 2.6414944e-02]\n  [9.7330958e-01 5.3827086e-12 9.0817534e-11 2.6690446e-02]]\n\n [[9.9275583e-01 6.8105133e-10 3.7695198e-09 7.2441641e-03]\n  [9.9115825e-01 7.7808154e-13 5.6333137e-12 8.8417362e-03]\n  [9.8710418e-01 2.4411107e-13 5.5930603e-12 1.2895806e-02]\n  [9.8001534e-01 6.7984854e-13 2.6176649e-11 1.9984638e-02]\n  [9.7971171e-01 3.7880685e-13 2.0743665e-11 2.0288311e-02]]\n\n ...\n\n [[9.1537136e-01 1.6514288e-05 5.3096282e-05 8.4559038e-02]\n  [9.1479939e-01 3.1096974e-07 1.5343135e-06 8.5198730e-02]\n  [9.1369450e-01 1.3544998e-07 1.0479234e-06 8.6304352e-02]\n  [9.1343355e-01 1.9542716e-07 1.7191516e-06 8.6564519e-02]\n  [9.1064602e-01 2.5255403e-07 2.2003139e-06 8.9351550e-02]]\n\n [[8.9687681e-01 4.5326491e-05 1.3833379e-04 1.0293951e-01]\n  [9.0367550e-01 1.0883556e-06 4.7499402e-06 9.6318714e-02]\n  [9.1209233e-01 4.7927114e-07 3.0501028e-06 8.7904215e-02]\n  [9.0624356e-01 6.3987511e-07 4.4095627e-06 9.3751378e-02]\n  [9.0205741e-01 7.5788472e-07 5.5675587e-06 9.7936295e-02]]\n\n [[8.5009676e-01 7.1099872e-04 1.7504892e-03 1.4744167e-01]\n  [8.9397591e-01 6.4388209e-05 1.8384137e-04 1.0577591e-01]\n  [9.0554869e-01 4.5042900e-05 1.4463837e-04 9.4261646e-02]\n  [8.9686388e-01 6.0574865e-05 1.9948142e-04 1.0287602e-01]\n  [8.8697177e-01 7.2142750e-05 2.4054672e-04 1.1271564e-01]]]\nPredicted mask after argmax for 2008_002036: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002036 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002036. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002036.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002036: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5598108e-01 7.4515478e-06 1.3923554e-05 4.3997537e-02]\n  [9.7224176e-01 6.0940302e-08 1.0528034e-07 2.7757950e-02]\n  [9.7676301e-01 1.0777230e-08 3.0142989e-08 2.3236951e-02]\n  [9.7594953e-01 8.9718162e-09 3.3492910e-08 2.4050560e-02]\n  [9.7714281e-01 4.8409996e-09 2.1506253e-08 2.2857180e-02]]\n\n [[9.8344421e-01 1.4328771e-08 5.2281077e-08 1.6555769e-02]\n  [9.8173761e-01 2.4353316e-11 9.4619264e-11 1.8262466e-02]\n  [9.7757703e-01 5.6326519e-12 4.4062875e-11 2.2422938e-02]\n  [9.7358501e-01 9.7367427e-12 1.1831795e-10 2.6414944e-02]\n  [9.7330958e-01 5.3827086e-12 9.0817534e-11 2.6690446e-02]]\n\n [[9.9275583e-01 6.8105133e-10 3.7695198e-09 7.2441641e-03]\n  [9.9115825e-01 7.7808154e-13 5.6333137e-12 8.8417362e-03]\n  [9.8710418e-01 2.4411107e-13 5.5930603e-12 1.2895806e-02]\n  [9.8001534e-01 6.7984854e-13 2.6176649e-11 1.9984638e-02]\n  [9.7971171e-01 3.7880685e-13 2.0743665e-11 2.0288311e-02]]\n\n ...\n\n [[9.1537136e-01 1.6514288e-05 5.3096282e-05 8.4559038e-02]\n  [9.1479939e-01 3.1096974e-07 1.5343135e-06 8.5198730e-02]\n  [9.1369450e-01 1.3544998e-07 1.0479234e-06 8.6304352e-02]\n  [9.1343355e-01 1.9542716e-07 1.7191516e-06 8.6564519e-02]\n  [9.1064602e-01 2.5255403e-07 2.2003139e-06 8.9351550e-02]]\n\n [[8.9687681e-01 4.5326491e-05 1.3833379e-04 1.0293951e-01]\n  [9.0367550e-01 1.0883556e-06 4.7499402e-06 9.6318714e-02]\n  [9.1209233e-01 4.7927114e-07 3.0501028e-06 8.7904215e-02]\n  [9.0624356e-01 6.3987511e-07 4.4095627e-06 9.3751378e-02]\n  [9.0205741e-01 7.5788472e-07 5.5675587e-06 9.7936295e-02]]\n\n [[8.5009676e-01 7.1099872e-04 1.7504892e-03 1.4744167e-01]\n  [8.9397591e-01 6.4388209e-05 1.8384137e-04 1.0577591e-01]\n  [9.0554869e-01 4.5042900e-05 1.4463837e-04 9.4261646e-02]\n  [8.9686388e-01 6.0574865e-05 1.9948142e-04 1.0287602e-01]\n  [8.8697177e-01 7.2142750e-05 2.4054672e-04 1.1271564e-01]]]\nPredicted mask after argmax for 2008_002036: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002036 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002036. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002036.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002036: (1, 256, 256, 4)\nSome predicted mask values: [[[9.5598108e-01 7.4515478e-06 1.3923554e-05 4.3997537e-02]\n  [9.7224176e-01 6.0940302e-08 1.0528034e-07 2.7757950e-02]\n  [9.7676301e-01 1.0777230e-08 3.0142989e-08 2.3236951e-02]\n  [9.7594953e-01 8.9718162e-09 3.3492910e-08 2.4050560e-02]\n  [9.7714281e-01 4.8409996e-09 2.1506253e-08 2.2857180e-02]]\n\n [[9.8344421e-01 1.4328771e-08 5.2281077e-08 1.6555769e-02]\n  [9.8173761e-01 2.4353316e-11 9.4619264e-11 1.8262466e-02]\n  [9.7757703e-01 5.6326519e-12 4.4062875e-11 2.2422938e-02]\n  [9.7358501e-01 9.7367427e-12 1.1831795e-10 2.6414944e-02]\n  [9.7330958e-01 5.3827086e-12 9.0817534e-11 2.6690446e-02]]\n\n [[9.9275583e-01 6.8105133e-10 3.7695198e-09 7.2441641e-03]\n  [9.9115825e-01 7.7808154e-13 5.6333137e-12 8.8417362e-03]\n  [9.8710418e-01 2.4411107e-13 5.5930603e-12 1.2895806e-02]\n  [9.8001534e-01 6.7984854e-13 2.6176649e-11 1.9984638e-02]\n  [9.7971171e-01 3.7880685e-13 2.0743665e-11 2.0288311e-02]]\n\n ...\n\n [[9.1537136e-01 1.6514288e-05 5.3096282e-05 8.4559038e-02]\n  [9.1479939e-01 3.1096974e-07 1.5343135e-06 8.5198730e-02]\n  [9.1369450e-01 1.3544998e-07 1.0479234e-06 8.6304352e-02]\n  [9.1343355e-01 1.9542716e-07 1.7191516e-06 8.6564519e-02]\n  [9.1064602e-01 2.5255403e-07 2.2003139e-06 8.9351550e-02]]\n\n [[8.9687681e-01 4.5326491e-05 1.3833379e-04 1.0293951e-01]\n  [9.0367550e-01 1.0883556e-06 4.7499402e-06 9.6318714e-02]\n  [9.1209233e-01 4.7927114e-07 3.0501028e-06 8.7904215e-02]\n  [9.0624356e-01 6.3987511e-07 4.4095627e-06 9.3751378e-02]\n  [9.0205741e-01 7.5788472e-07 5.5675587e-06 9.7936295e-02]]\n\n [[8.5009676e-01 7.1099872e-04 1.7504892e-03 1.4744167e-01]\n  [8.9397591e-01 6.4388209e-05 1.8384137e-04 1.0577591e-01]\n  [9.0554869e-01 4.5042900e-05 1.4463837e-04 9.4261646e-02]\n  [8.9686388e-01 6.0574865e-05 1.9948142e-04 1.0287602e-01]\n  [8.8697177e-01 7.2142750e-05 2.4054672e-04 1.1271564e-01]]]\nPredicted mask after argmax for 2008_002036: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002036 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002036. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002045: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65577602e-01 2.28555996e-06 4.74261014e-06 3.44153270e-02]\n  [9.81612384e-01 7.55275575e-09 1.53445665e-08 1.83876064e-02]\n  [9.86503243e-01 7.73584030e-10 2.55238763e-09 1.34968050e-02]\n  [9.86706972e-01 5.32241418e-10 2.30040897e-09 1.32929748e-02]\n  [9.87076521e-01 3.20630189e-10 1.62084235e-09 1.29234213e-02]]\n\n [[9.86833632e-01 3.21913540e-09 1.36721621e-08 1.31663280e-02]\n  [9.86717880e-01 2.06886916e-12 1.00741594e-11 1.32820718e-02]\n  [9.85113740e-01 2.65343059e-13 2.62194324e-12 1.48862470e-02]\n  [9.83207941e-01 3.60226443e-13 5.49500072e-12 1.67920701e-02]\n  [9.82734859e-01 2.16665173e-13 4.59645516e-12 1.72651839e-02]]\n\n [[9.94120657e-01 1.80958429e-10 1.24418076e-09 5.87930903e-03]\n  [9.93272305e-01 8.64959756e-14 8.79746796e-13 6.72765821e-03]\n  [9.90658402e-01 1.69560733e-14 5.38914508e-13 9.34159476e-03]\n  [9.86632705e-01 3.60815605e-14 1.96319718e-12 1.33673055e-02]\n  [9.86185431e-01 2.01372359e-14 1.57550145e-12 1.38145667e-02]]\n\n ...\n\n [[9.53415394e-01 6.26744907e-07 2.80323479e-06 4.65811342e-02]\n  [9.52262759e-01 3.23541438e-09 2.66536322e-08 4.77372594e-02]\n  [9.51734066e-01 7.91704036e-10 1.18814452e-08 4.82659414e-02]\n  [9.54666853e-01 9.22747379e-10 1.72243766e-08 4.53332029e-02]\n  [9.56016183e-01 7.67785946e-10 1.51731587e-08 4.39837873e-02]]\n\n [[9.41530347e-01 2.12300142e-06 8.75840578e-06 5.84587455e-02]\n  [9.45661008e-01 1.52282205e-08 1.00292553e-07 5.43388538e-02]\n  [9.51941371e-01 4.09166345e-09 4.51900881e-08 4.80586700e-02]\n  [9.49283302e-01 4.71045558e-09 6.11423019e-08 5.07165343e-02]\n  [9.49713647e-01 3.84236731e-09 5.91217884e-08 5.02862707e-02]]\n\n [[9.06153977e-01 7.40700707e-05 2.34864769e-04 9.35370475e-02]\n  [9.43528473e-01 2.59724948e-06 1.00244051e-05 5.64588532e-02]\n  [9.53127265e-01 1.34725860e-06 6.01792544e-06 4.68653552e-02]\n  [9.49984372e-01 1.73155104e-06 8.31820853e-06 5.00056185e-02]\n  [9.45792079e-01 1.71279908e-06 8.78974697e-06 5.41974232e-02]]]\nPredicted mask after argmax for 2008_002045: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002045 has shape: (366, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002045. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002045: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65577602e-01 2.28555996e-06 4.74261014e-06 3.44153270e-02]\n  [9.81612384e-01 7.55275575e-09 1.53445665e-08 1.83876064e-02]\n  [9.86503243e-01 7.73584030e-10 2.55238763e-09 1.34968050e-02]\n  [9.86706972e-01 5.32241418e-10 2.30040897e-09 1.32929748e-02]\n  [9.87076521e-01 3.20630189e-10 1.62084235e-09 1.29234213e-02]]\n\n [[9.86833632e-01 3.21913540e-09 1.36721621e-08 1.31663280e-02]\n  [9.86717880e-01 2.06886916e-12 1.00741594e-11 1.32820718e-02]\n  [9.85113740e-01 2.65343059e-13 2.62194324e-12 1.48862470e-02]\n  [9.83207941e-01 3.60226443e-13 5.49500072e-12 1.67920701e-02]\n  [9.82734859e-01 2.16665173e-13 4.59645516e-12 1.72651839e-02]]\n\n [[9.94120657e-01 1.80958429e-10 1.24418076e-09 5.87930903e-03]\n  [9.93272305e-01 8.64959756e-14 8.79746796e-13 6.72765821e-03]\n  [9.90658402e-01 1.69560733e-14 5.38914508e-13 9.34159476e-03]\n  [9.86632705e-01 3.60815605e-14 1.96319718e-12 1.33673055e-02]\n  [9.86185431e-01 2.01372359e-14 1.57550145e-12 1.38145667e-02]]\n\n ...\n\n [[9.53415394e-01 6.26744907e-07 2.80323479e-06 4.65811342e-02]\n  [9.52262759e-01 3.23541438e-09 2.66536322e-08 4.77372594e-02]\n  [9.51734066e-01 7.91704036e-10 1.18814452e-08 4.82659414e-02]\n  [9.54666853e-01 9.22747379e-10 1.72243766e-08 4.53332029e-02]\n  [9.56016183e-01 7.67785946e-10 1.51731587e-08 4.39837873e-02]]\n\n [[9.41530347e-01 2.12300142e-06 8.75840578e-06 5.84587455e-02]\n  [9.45661008e-01 1.52282205e-08 1.00292553e-07 5.43388538e-02]\n  [9.51941371e-01 4.09166345e-09 4.51900881e-08 4.80586700e-02]\n  [9.49283302e-01 4.71045558e-09 6.11423019e-08 5.07165343e-02]\n  [9.49713647e-01 3.84236731e-09 5.91217884e-08 5.02862707e-02]]\n\n [[9.06153977e-01 7.40700707e-05 2.34864769e-04 9.35370475e-02]\n  [9.43528473e-01 2.59724948e-06 1.00244051e-05 5.64588532e-02]\n  [9.53127265e-01 1.34725860e-06 6.01792544e-06 4.68653552e-02]\n  [9.49984372e-01 1.73155104e-06 8.31820853e-06 5.00056185e-02]\n  [9.45792079e-01 1.71279908e-06 8.78974697e-06 5.41974232e-02]]]\nPredicted mask after argmax for 2008_002045: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002045 has shape: (366, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002045. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002045: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65577602e-01 2.28555996e-06 4.74261014e-06 3.44153270e-02]\n  [9.81612384e-01 7.55275575e-09 1.53445665e-08 1.83876064e-02]\n  [9.86503243e-01 7.73584030e-10 2.55238763e-09 1.34968050e-02]\n  [9.86706972e-01 5.32241418e-10 2.30040897e-09 1.32929748e-02]\n  [9.87076521e-01 3.20630189e-10 1.62084235e-09 1.29234213e-02]]\n\n [[9.86833632e-01 3.21913540e-09 1.36721621e-08 1.31663280e-02]\n  [9.86717880e-01 2.06886916e-12 1.00741594e-11 1.32820718e-02]\n  [9.85113740e-01 2.65343059e-13 2.62194324e-12 1.48862470e-02]\n  [9.83207941e-01 3.60226443e-13 5.49500072e-12 1.67920701e-02]\n  [9.82734859e-01 2.16665173e-13 4.59645516e-12 1.72651839e-02]]\n\n [[9.94120657e-01 1.80958429e-10 1.24418076e-09 5.87930903e-03]\n  [9.93272305e-01 8.64959756e-14 8.79746796e-13 6.72765821e-03]\n  [9.90658402e-01 1.69560733e-14 5.38914508e-13 9.34159476e-03]\n  [9.86632705e-01 3.60815605e-14 1.96319718e-12 1.33673055e-02]\n  [9.86185431e-01 2.01372359e-14 1.57550145e-12 1.38145667e-02]]\n\n ...\n\n [[9.53415394e-01 6.26744907e-07 2.80323479e-06 4.65811342e-02]\n  [9.52262759e-01 3.23541438e-09 2.66536322e-08 4.77372594e-02]\n  [9.51734066e-01 7.91704036e-10 1.18814452e-08 4.82659414e-02]\n  [9.54666853e-01 9.22747379e-10 1.72243766e-08 4.53332029e-02]\n  [9.56016183e-01 7.67785946e-10 1.51731587e-08 4.39837873e-02]]\n\n [[9.41530347e-01 2.12300142e-06 8.75840578e-06 5.84587455e-02]\n  [9.45661008e-01 1.52282205e-08 1.00292553e-07 5.43388538e-02]\n  [9.51941371e-01 4.09166345e-09 4.51900881e-08 4.80586700e-02]\n  [9.49283302e-01 4.71045558e-09 6.11423019e-08 5.07165343e-02]\n  [9.49713647e-01 3.84236731e-09 5.91217884e-08 5.02862707e-02]]\n\n [[9.06153977e-01 7.40700707e-05 2.34864769e-04 9.35370475e-02]\n  [9.43528473e-01 2.59724948e-06 1.00244051e-05 5.64588532e-02]\n  [9.53127265e-01 1.34725860e-06 6.01792544e-06 4.68653552e-02]\n  [9.49984372e-01 1.73155104e-06 8.31820853e-06 5.00056185e-02]\n  [9.45792079e-01 1.71279908e-06 8.78974697e-06 5.41974232e-02]]]\nPredicted mask after argmax for 2008_002045: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002045 has shape: (366, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002045. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002045: (1, 256, 256, 4)\nSome predicted mask values: [[[9.65577602e-01 2.28555996e-06 4.74261014e-06 3.44153270e-02]\n  [9.81612384e-01 7.55275575e-09 1.53445665e-08 1.83876064e-02]\n  [9.86503243e-01 7.73584030e-10 2.55238763e-09 1.34968050e-02]\n  [9.86706972e-01 5.32241418e-10 2.30040897e-09 1.32929748e-02]\n  [9.87076521e-01 3.20630189e-10 1.62084235e-09 1.29234213e-02]]\n\n [[9.86833632e-01 3.21913540e-09 1.36721621e-08 1.31663280e-02]\n  [9.86717880e-01 2.06886916e-12 1.00741594e-11 1.32820718e-02]\n  [9.85113740e-01 2.65343059e-13 2.62194324e-12 1.48862470e-02]\n  [9.83207941e-01 3.60226443e-13 5.49500072e-12 1.67920701e-02]\n  [9.82734859e-01 2.16665173e-13 4.59645516e-12 1.72651839e-02]]\n\n [[9.94120657e-01 1.80958429e-10 1.24418076e-09 5.87930903e-03]\n  [9.93272305e-01 8.64959756e-14 8.79746796e-13 6.72765821e-03]\n  [9.90658402e-01 1.69560733e-14 5.38914508e-13 9.34159476e-03]\n  [9.86632705e-01 3.60815605e-14 1.96319718e-12 1.33673055e-02]\n  [9.86185431e-01 2.01372359e-14 1.57550145e-12 1.38145667e-02]]\n\n ...\n\n [[9.53415394e-01 6.26744907e-07 2.80323479e-06 4.65811342e-02]\n  [9.52262759e-01 3.23541438e-09 2.66536322e-08 4.77372594e-02]\n  [9.51734066e-01 7.91704036e-10 1.18814452e-08 4.82659414e-02]\n  [9.54666853e-01 9.22747379e-10 1.72243766e-08 4.53332029e-02]\n  [9.56016183e-01 7.67785946e-10 1.51731587e-08 4.39837873e-02]]\n\n [[9.41530347e-01 2.12300142e-06 8.75840578e-06 5.84587455e-02]\n  [9.45661008e-01 1.52282205e-08 1.00292553e-07 5.43388538e-02]\n  [9.51941371e-01 4.09166345e-09 4.51900881e-08 4.80586700e-02]\n  [9.49283302e-01 4.71045558e-09 6.11423019e-08 5.07165343e-02]\n  [9.49713647e-01 3.84236731e-09 5.91217884e-08 5.02862707e-02]]\n\n [[9.06153977e-01 7.40700707e-05 2.34864769e-04 9.35370475e-02]\n  [9.43528473e-01 2.59724948e-06 1.00244051e-05 5.64588532e-02]\n  [9.53127265e-01 1.34725860e-06 6.01792544e-06 4.68653552e-02]\n  [9.49984372e-01 1.73155104e-06 8.31820853e-06 5.00056185e-02]\n  [9.45792079e-01 1.71279908e-06 8.78974697e-06 5.41974232e-02]]]\nPredicted mask after argmax for 2008_002045: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002045 has shape: (366, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002045. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002061.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002061: (1, 256, 256, 4)\nSome predicted mask values: [[[9.66168582e-01 2.24931796e-06 4.63614015e-06 3.38244736e-02]\n  [9.82029736e-01 7.51622320e-09 1.48425343e-08 1.79702993e-02]\n  [9.86616492e-01 7.77704401e-10 2.51636667e-09 1.33835273e-02]\n  [9.86514330e-01 5.31630240e-10 2.29238317e-09 1.34856142e-02]\n  [9.86716270e-01 3.16139892e-10 1.61338920e-09 1.32837407e-02]]\n\n [[9.87070978e-01 3.27259375e-09 1.35524729e-08 1.29289832e-02]\n  [9.87137437e-01 2.01598460e-12 9.46289228e-12 1.28626050e-02]\n  [9.85421538e-01 2.44134601e-13 2.36062688e-12 1.45784402e-02]\n  [9.83578205e-01 2.93670524e-13 4.62299730e-12 1.64218526e-02]\n  [9.83064353e-01 1.68918617e-13 3.77878371e-12 1.69356950e-02]]\n\n [[9.94318247e-01 1.71549136e-10 1.15627874e-09 5.68176480e-03]\n  [9.93594468e-01 7.94511822e-14 7.72329954e-13 6.40548719e-03]\n  [9.91055667e-01 1.46573698e-14 4.59984210e-13 8.94432608e-03]\n  [9.87128913e-01 2.78681954e-14 1.56007867e-12 1.28710391e-02]\n  [9.86729264e-01 1.47337282e-14 1.20218906e-12 1.32707218e-02]]\n\n ...\n\n [[9.65464830e-01 8.72668870e-09 8.74605632e-08 3.45350802e-02]\n  [9.82545733e-01 5.12551481e-13 2.17108085e-11 1.74542386e-02]\n  [9.91633892e-01 2.09956937e-15 2.54743980e-13 8.36608931e-03]\n  [9.94884312e-01 1.62199279e-16 2.74219090e-14 5.11572370e-03]\n  [9.96501923e-01 1.41580548e-17 3.43544896e-15 3.49809905e-03]]\n\n [[9.49645460e-01 1.31487639e-07 9.69195753e-07 5.03533222e-02]\n  [9.71362472e-01 4.87556141e-11 9.47979140e-10 2.86375172e-02]\n  [9.83938992e-01 6.70334177e-13 2.96886821e-11 1.60610285e-02]\n  [9.88325715e-01 7.78450113e-14 5.53867889e-12 1.16743660e-02]\n  [9.91801798e-01 8.93148809e-15 9.25287950e-13 8.19820911e-03]]\n\n [[9.22823191e-01 1.62522065e-05 7.16804716e-05 7.70888031e-02]\n  [9.65911925e-01 1.18629885e-07 7.61450508e-07 3.40871401e-02]\n  [9.80830908e-01 1.05952394e-08 1.00235539e-07 1.91690698e-02]\n  [9.83693659e-01 3.77742371e-09 4.40232313e-08 1.63063463e-02]\n  [9.86327708e-01 1.18290400e-09 1.73389374e-08 1.36723109e-02]]]\nPredicted mask after argmax for 2008_002061: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002061 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002061. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002067.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002067: (1, 256, 256, 4)\nSome predicted mask values: [[[9.32457149e-01 3.17850318e-05 5.66619747e-05 6.74544126e-02]\n  [9.56431270e-01 3.35631341e-07 6.88837588e-07 4.35676984e-02]\n  [9.62723374e-01 7.36979615e-08 2.27729046e-07 3.72763537e-02]\n  [9.60784674e-01 8.30187474e-08 3.05966722e-07 3.92149203e-02]\n  [9.58465517e-01 8.11519243e-08 3.31686266e-07 4.15339954e-02]]\n\n [[9.69917417e-01 1.37638978e-07 4.62221720e-07 3.00820470e-02]\n  [9.69027638e-01 3.84869692e-10 1.58828195e-09 3.09723504e-02]\n  [9.67018604e-01 8.39454478e-11 6.61734501e-10 3.29814404e-02]\n  [9.62584257e-01 1.51154506e-10 1.63372860e-09 3.74157466e-02]\n  [9.60486770e-01 1.46560777e-10 2.00042005e-09 3.95132117e-02]]\n\n [[9.83472586e-01 1.43821666e-08 7.14341510e-08 1.65272616e-02]\n  [9.81462061e-01 2.77156006e-11 2.03901548e-10 1.85379218e-02]\n  [9.77125049e-01 7.44670211e-12 1.37031747e-10 2.28749029e-02]\n  [9.71495211e-01 1.44357842e-11 3.86536997e-10 2.85046995e-02]\n  [9.70494628e-01 1.21958554e-11 4.09687062e-10 2.95053814e-02]]\n\n ...\n\n [[8.93508911e-01 3.17035519e-05 1.01839883e-04 1.06357522e-01]\n  [9.03495431e-01 5.02391458e-07 2.71308090e-06 9.65013653e-02]\n  [9.11357403e-01 1.48857438e-07 1.20327036e-06 8.86413604e-02]\n  [9.15111780e-01 1.57523274e-07 1.46267757e-06 8.48867297e-02]\n  [9.13759947e-01 1.82867012e-07 1.68338840e-06 8.62381607e-02]]\n\n [[8.76226425e-01 8.02137365e-05 2.41967529e-04 1.23451389e-01]\n  [8.91783118e-01 1.77016796e-06 8.22924812e-06 1.08206920e-01]\n  [9.07260060e-01 5.76351340e-07 3.75643413e-06 9.27356258e-02]\n  [9.05615330e-01 5.82132998e-07 4.14187480e-06 9.43800509e-02]\n  [9.04103994e-01 5.97936435e-07 4.59005196e-06 9.58907083e-02]]\n\n [[8.31611633e-01 1.03715085e-03 2.49560806e-03 1.64855555e-01]\n  [8.83117437e-01 9.30226088e-05 2.63864436e-04 1.16525710e-01]\n  [9.00207639e-01 5.26595868e-05 1.72738917e-04 9.95669290e-02]\n  [8.95278871e-01 5.83500878e-05 1.97286281e-04 1.04465462e-01]\n  [8.89292657e-01 6.26693363e-05 2.15756983e-04 1.10428967e-01]]]\nPredicted mask after argmax for 2008_002067: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002067 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002067. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002067.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002067: (1, 256, 256, 4)\nSome predicted mask values: [[[9.32457149e-01 3.17850318e-05 5.66619747e-05 6.74544126e-02]\n  [9.56431270e-01 3.35631341e-07 6.88837588e-07 4.35676984e-02]\n  [9.62723374e-01 7.36979615e-08 2.27729046e-07 3.72763537e-02]\n  [9.60784674e-01 8.30187474e-08 3.05966722e-07 3.92149203e-02]\n  [9.58465517e-01 8.11519243e-08 3.31686266e-07 4.15339954e-02]]\n\n [[9.69917417e-01 1.37638978e-07 4.62221720e-07 3.00820470e-02]\n  [9.69027638e-01 3.84869692e-10 1.58828195e-09 3.09723504e-02]\n  [9.67018604e-01 8.39454478e-11 6.61734501e-10 3.29814404e-02]\n  [9.62584257e-01 1.51154506e-10 1.63372860e-09 3.74157466e-02]\n  [9.60486770e-01 1.46560777e-10 2.00042005e-09 3.95132117e-02]]\n\n [[9.83472586e-01 1.43821666e-08 7.14341510e-08 1.65272616e-02]\n  [9.81462061e-01 2.77156006e-11 2.03901548e-10 1.85379218e-02]\n  [9.77125049e-01 7.44670211e-12 1.37031747e-10 2.28749029e-02]\n  [9.71495211e-01 1.44357842e-11 3.86536997e-10 2.85046995e-02]\n  [9.70494628e-01 1.21958554e-11 4.09687062e-10 2.95053814e-02]]\n\n ...\n\n [[8.93508911e-01 3.17035519e-05 1.01839883e-04 1.06357522e-01]\n  [9.03495431e-01 5.02391458e-07 2.71308090e-06 9.65013653e-02]\n  [9.11357403e-01 1.48857438e-07 1.20327036e-06 8.86413604e-02]\n  [9.15111780e-01 1.57523274e-07 1.46267757e-06 8.48867297e-02]\n  [9.13759947e-01 1.82867012e-07 1.68338840e-06 8.62381607e-02]]\n\n [[8.76226425e-01 8.02137365e-05 2.41967529e-04 1.23451389e-01]\n  [8.91783118e-01 1.77016796e-06 8.22924812e-06 1.08206920e-01]\n  [9.07260060e-01 5.76351340e-07 3.75643413e-06 9.27356258e-02]\n  [9.05615330e-01 5.82132998e-07 4.14187480e-06 9.43800509e-02]\n  [9.04103994e-01 5.97936435e-07 4.59005196e-06 9.58907083e-02]]\n\n [[8.31611633e-01 1.03715085e-03 2.49560806e-03 1.64855555e-01]\n  [8.83117437e-01 9.30226088e-05 2.63864436e-04 1.16525710e-01]\n  [9.00207639e-01 5.26595868e-05 1.72738917e-04 9.95669290e-02]\n  [8.95278871e-01 5.83500878e-05 1.97286281e-04 1.04465462e-01]\n  [8.89292657e-01 6.26693363e-05 2.15756983e-04 1.10428967e-01]]]\nPredicted mask after argmax for 2008_002067: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002067 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002067. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002067.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask shape for 2008_002067: (1, 256, 256, 4)\nSome predicted mask values: [[[9.32457149e-01 3.17850318e-05 5.66619747e-05 6.74544126e-02]\n  [9.56431270e-01 3.35631341e-07 6.88837588e-07 4.35676984e-02]\n  [9.62723374e-01 7.36979615e-08 2.27729046e-07 3.72763537e-02]\n  [9.60784674e-01 8.30187474e-08 3.05966722e-07 3.92149203e-02]\n  [9.58465517e-01 8.11519243e-08 3.31686266e-07 4.15339954e-02]]\n\n [[9.69917417e-01 1.37638978e-07 4.62221720e-07 3.00820470e-02]\n  [9.69027638e-01 3.84869692e-10 1.58828195e-09 3.09723504e-02]\n  [9.67018604e-01 8.39454478e-11 6.61734501e-10 3.29814404e-02]\n  [9.62584257e-01 1.51154506e-10 1.63372860e-09 3.74157466e-02]\n  [9.60486770e-01 1.46560777e-10 2.00042005e-09 3.95132117e-02]]\n\n [[9.83472586e-01 1.43821666e-08 7.14341510e-08 1.65272616e-02]\n  [9.81462061e-01 2.77156006e-11 2.03901548e-10 1.85379218e-02]\n  [9.77125049e-01 7.44670211e-12 1.37031747e-10 2.28749029e-02]\n  [9.71495211e-01 1.44357842e-11 3.86536997e-10 2.85046995e-02]\n  [9.70494628e-01 1.21958554e-11 4.09687062e-10 2.95053814e-02]]\n\n ...\n\n [[8.93508911e-01 3.17035519e-05 1.01839883e-04 1.06357522e-01]\n  [9.03495431e-01 5.02391458e-07 2.71308090e-06 9.65013653e-02]\n  [9.11357403e-01 1.48857438e-07 1.20327036e-06 8.86413604e-02]\n  [9.15111780e-01 1.57523274e-07 1.46267757e-06 8.48867297e-02]\n  [9.13759947e-01 1.82867012e-07 1.68338840e-06 8.62381607e-02]]\n\n [[8.76226425e-01 8.02137365e-05 2.41967529e-04 1.23451389e-01]\n  [8.91783118e-01 1.77016796e-06 8.22924812e-06 1.08206920e-01]\n  [9.07260060e-01 5.76351340e-07 3.75643413e-06 9.27356258e-02]\n  [9.05615330e-01 5.82132998e-07 4.14187480e-06 9.43800509e-02]\n  [9.04103994e-01 5.97936435e-07 4.59005196e-06 9.58907083e-02]]\n\n [[8.31611633e-01 1.03715085e-03 2.49560806e-03 1.64855555e-01]\n  [8.83117437e-01 9.30226088e-05 2.63864436e-04 1.16525710e-01]\n  [9.00207639e-01 5.26595868e-05 1.72738917e-04 9.95669290e-02]\n  [8.95278871e-01 5.83500878e-05 1.97286281e-04 1.04465462e-01]\n  [8.89292657e-01 6.26693363e-05 2.15756983e-04 1.10428967e-01]]]\nPredicted mask after argmax for 2008_002067: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002067 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002067. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002084: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75747228e-01 4.90591049e-07 1.14308023e-06 2.42511667e-02]\n  [9.90218461e-01 4.34397379e-10 1.02404440e-09 9.78153851e-03]\n  [9.94224489e-01 1.56909815e-11 6.16442383e-11 5.77557366e-03]\n  [9.95092750e-01 5.11618655e-12 2.72194958e-11 4.90728440e-03]\n  [9.95860696e-01 1.67577801e-12 1.03990566e-11 4.13923617e-03]]\n\n [[9.90961194e-01 4.13144990e-10 2.09751105e-09 9.03881434e-03]\n  [9.92895901e-01 4.88739366e-14 3.00219458e-13 7.10405875e-03]\n  [9.92987454e-01 1.86251216e-15 2.41250637e-14 7.01259542e-03]\n  [9.92769957e-01 1.12200292e-15 2.34617606e-14 7.23010115e-03]\n  [9.93207395e-01 3.37692422e-16 1.01370946e-14 6.79254299e-03]]\n\n [[9.96342957e-01 1.85955088e-11 1.64418812e-10 3.65705672e-03]\n  [9.96768832e-01 1.58361100e-15 2.31346416e-14 3.23120691e-03]\n  [9.95853722e-01 1.00207995e-16 5.15557572e-15 4.14618431e-03]\n  [9.94615614e-01 9.16387211e-17 9.19613422e-15 5.38440188e-03]\n  [9.94734108e-01 2.69178997e-17 4.40811743e-15 5.26589574e-03]]\n\n ...\n\n [[9.43446755e-01 4.35893213e-07 2.44003218e-06 5.65502681e-02]\n  [9.61530268e-01 3.65821040e-10 5.35102673e-09 3.84697579e-02]\n  [9.75732684e-01 9.69412745e-12 3.16077303e-10 2.42673010e-02]\n  [9.81338382e-01 2.30939400e-12 9.84896192e-11 1.86616052e-02]\n  [9.84889567e-01 6.30009337e-13 3.30474433e-11 1.51103903e-02]]\n\n [[9.29387689e-01 2.08523511e-06 9.95475420e-06 7.06001818e-02]\n  [9.52001095e-01 4.24507496e-09 4.00893718e-08 4.79988903e-02]\n  [9.67431128e-01 2.22482893e-10 3.87969523e-09 3.25689092e-02]\n  [9.72195089e-01 6.59379426e-11 1.57390312e-09 2.78048366e-02]\n  [9.77283061e-01 2.03326609e-11 6.32175923e-10 2.27169488e-02]]\n\n [[8.94866168e-01 8.58510393e-05 2.96631712e-04 1.04751311e-01]\n  [9.45831716e-01 1.62488084e-06 7.31083810e-06 5.41593842e-02]\n  [9.63997185e-01 2.91447321e-07 1.66826544e-06 3.60008031e-02]\n  [9.66341436e-01 1.69138389e-07 1.10086444e-06 3.36573571e-02]\n  [9.70250130e-01 9.23241288e-08 6.81920199e-07 2.97490004e-02]]]\nPredicted mask after argmax for 2008_002084: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002084 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002084. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002084: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75747228e-01 4.90591049e-07 1.14308023e-06 2.42511667e-02]\n  [9.90218461e-01 4.34397379e-10 1.02404440e-09 9.78153851e-03]\n  [9.94224489e-01 1.56909815e-11 6.16442383e-11 5.77557366e-03]\n  [9.95092750e-01 5.11618655e-12 2.72194958e-11 4.90728440e-03]\n  [9.95860696e-01 1.67577801e-12 1.03990566e-11 4.13923617e-03]]\n\n [[9.90961194e-01 4.13144990e-10 2.09751105e-09 9.03881434e-03]\n  [9.92895901e-01 4.88739366e-14 3.00219458e-13 7.10405875e-03]\n  [9.92987454e-01 1.86251216e-15 2.41250637e-14 7.01259542e-03]\n  [9.92769957e-01 1.12200292e-15 2.34617606e-14 7.23010115e-03]\n  [9.93207395e-01 3.37692422e-16 1.01370946e-14 6.79254299e-03]]\n\n [[9.96342957e-01 1.85955088e-11 1.64418812e-10 3.65705672e-03]\n  [9.96768832e-01 1.58361100e-15 2.31346416e-14 3.23120691e-03]\n  [9.95853722e-01 1.00207995e-16 5.15557572e-15 4.14618431e-03]\n  [9.94615614e-01 9.16387211e-17 9.19613422e-15 5.38440188e-03]\n  [9.94734108e-01 2.69178997e-17 4.40811743e-15 5.26589574e-03]]\n\n ...\n\n [[9.43446755e-01 4.35893213e-07 2.44003218e-06 5.65502681e-02]\n  [9.61530268e-01 3.65821040e-10 5.35102673e-09 3.84697579e-02]\n  [9.75732684e-01 9.69412745e-12 3.16077303e-10 2.42673010e-02]\n  [9.81338382e-01 2.30939400e-12 9.84896192e-11 1.86616052e-02]\n  [9.84889567e-01 6.30009337e-13 3.30474433e-11 1.51103903e-02]]\n\n [[9.29387689e-01 2.08523511e-06 9.95475420e-06 7.06001818e-02]\n  [9.52001095e-01 4.24507496e-09 4.00893718e-08 4.79988903e-02]\n  [9.67431128e-01 2.22482893e-10 3.87969523e-09 3.25689092e-02]\n  [9.72195089e-01 6.59379426e-11 1.57390312e-09 2.78048366e-02]\n  [9.77283061e-01 2.03326609e-11 6.32175923e-10 2.27169488e-02]]\n\n [[8.94866168e-01 8.58510393e-05 2.96631712e-04 1.04751311e-01]\n  [9.45831716e-01 1.62488084e-06 7.31083810e-06 5.41593842e-02]\n  [9.63997185e-01 2.91447321e-07 1.66826544e-06 3.60008031e-02]\n  [9.66341436e-01 1.69138389e-07 1.10086444e-06 3.36573571e-02]\n  [9.70250130e-01 9.23241288e-08 6.81920199e-07 2.97490004e-02]]]\nPredicted mask after argmax for 2008_002084: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002084 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002084. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002084: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75747228e-01 4.90591049e-07 1.14308023e-06 2.42511667e-02]\n  [9.90218461e-01 4.34397379e-10 1.02404440e-09 9.78153851e-03]\n  [9.94224489e-01 1.56909815e-11 6.16442383e-11 5.77557366e-03]\n  [9.95092750e-01 5.11618655e-12 2.72194958e-11 4.90728440e-03]\n  [9.95860696e-01 1.67577801e-12 1.03990566e-11 4.13923617e-03]]\n\n [[9.90961194e-01 4.13144990e-10 2.09751105e-09 9.03881434e-03]\n  [9.92895901e-01 4.88739366e-14 3.00219458e-13 7.10405875e-03]\n  [9.92987454e-01 1.86251216e-15 2.41250637e-14 7.01259542e-03]\n  [9.92769957e-01 1.12200292e-15 2.34617606e-14 7.23010115e-03]\n  [9.93207395e-01 3.37692422e-16 1.01370946e-14 6.79254299e-03]]\n\n [[9.96342957e-01 1.85955088e-11 1.64418812e-10 3.65705672e-03]\n  [9.96768832e-01 1.58361100e-15 2.31346416e-14 3.23120691e-03]\n  [9.95853722e-01 1.00207995e-16 5.15557572e-15 4.14618431e-03]\n  [9.94615614e-01 9.16387211e-17 9.19613422e-15 5.38440188e-03]\n  [9.94734108e-01 2.69178997e-17 4.40811743e-15 5.26589574e-03]]\n\n ...\n\n [[9.43446755e-01 4.35893213e-07 2.44003218e-06 5.65502681e-02]\n  [9.61530268e-01 3.65821040e-10 5.35102673e-09 3.84697579e-02]\n  [9.75732684e-01 9.69412745e-12 3.16077303e-10 2.42673010e-02]\n  [9.81338382e-01 2.30939400e-12 9.84896192e-11 1.86616052e-02]\n  [9.84889567e-01 6.30009337e-13 3.30474433e-11 1.51103903e-02]]\n\n [[9.29387689e-01 2.08523511e-06 9.95475420e-06 7.06001818e-02]\n  [9.52001095e-01 4.24507496e-09 4.00893718e-08 4.79988903e-02]\n  [9.67431128e-01 2.22482893e-10 3.87969523e-09 3.25689092e-02]\n  [9.72195089e-01 6.59379426e-11 1.57390312e-09 2.78048366e-02]\n  [9.77283061e-01 2.03326609e-11 6.32175923e-10 2.27169488e-02]]\n\n [[8.94866168e-01 8.58510393e-05 2.96631712e-04 1.04751311e-01]\n  [9.45831716e-01 1.62488084e-06 7.31083810e-06 5.41593842e-02]\n  [9.63997185e-01 2.91447321e-07 1.66826544e-06 3.60008031e-02]\n  [9.66341436e-01 1.69138389e-07 1.10086444e-06 3.36573571e-02]\n  [9.70250130e-01 9.23241288e-08 6.81920199e-07 2.97490004e-02]]]\nPredicted mask after argmax for 2008_002084: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002084 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002084. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002084: (1, 256, 256, 4)\nSome predicted mask values: [[[9.75747228e-01 4.90591049e-07 1.14308023e-06 2.42511667e-02]\n  [9.90218461e-01 4.34397379e-10 1.02404440e-09 9.78153851e-03]\n  [9.94224489e-01 1.56909815e-11 6.16442383e-11 5.77557366e-03]\n  [9.95092750e-01 5.11618655e-12 2.72194958e-11 4.90728440e-03]\n  [9.95860696e-01 1.67577801e-12 1.03990566e-11 4.13923617e-03]]\n\n [[9.90961194e-01 4.13144990e-10 2.09751105e-09 9.03881434e-03]\n  [9.92895901e-01 4.88739366e-14 3.00219458e-13 7.10405875e-03]\n  [9.92987454e-01 1.86251216e-15 2.41250637e-14 7.01259542e-03]\n  [9.92769957e-01 1.12200292e-15 2.34617606e-14 7.23010115e-03]\n  [9.93207395e-01 3.37692422e-16 1.01370946e-14 6.79254299e-03]]\n\n [[9.96342957e-01 1.85955088e-11 1.64418812e-10 3.65705672e-03]\n  [9.96768832e-01 1.58361100e-15 2.31346416e-14 3.23120691e-03]\n  [9.95853722e-01 1.00207995e-16 5.15557572e-15 4.14618431e-03]\n  [9.94615614e-01 9.16387211e-17 9.19613422e-15 5.38440188e-03]\n  [9.94734108e-01 2.69178997e-17 4.40811743e-15 5.26589574e-03]]\n\n ...\n\n [[9.43446755e-01 4.35893213e-07 2.44003218e-06 5.65502681e-02]\n  [9.61530268e-01 3.65821040e-10 5.35102673e-09 3.84697579e-02]\n  [9.75732684e-01 9.69412745e-12 3.16077303e-10 2.42673010e-02]\n  [9.81338382e-01 2.30939400e-12 9.84896192e-11 1.86616052e-02]\n  [9.84889567e-01 6.30009337e-13 3.30474433e-11 1.51103903e-02]]\n\n [[9.29387689e-01 2.08523511e-06 9.95475420e-06 7.06001818e-02]\n  [9.52001095e-01 4.24507496e-09 4.00893718e-08 4.79988903e-02]\n  [9.67431128e-01 2.22482893e-10 3.87969523e-09 3.25689092e-02]\n  [9.72195089e-01 6.59379426e-11 1.57390312e-09 2.78048366e-02]\n  [9.77283061e-01 2.03326609e-11 6.32175923e-10 2.27169488e-02]]\n\n [[8.94866168e-01 8.58510393e-05 2.96631712e-04 1.04751311e-01]\n  [9.45831716e-01 1.62488084e-06 7.31083810e-06 5.41593842e-02]\n  [9.63997185e-01 2.91447321e-07 1.66826544e-06 3.60008031e-02]\n  [9.66341436e-01 1.69138389e-07 1.10086444e-06 3.36573571e-02]\n  [9.70250130e-01 9.23241288e-08 6.81920199e-07 2.97490004e-02]]]\nPredicted mask after argmax for 2008_002084: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002084 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002084. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002096.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002096: (1, 256, 256, 4)\nSome predicted mask values: [[[9.44685400e-01 1.60340696e-05 2.94236033e-05 5.52691706e-02]\n  [9.66245055e-01 1.34386624e-07 2.58255341e-07 3.37546580e-02]\n  [9.71636891e-01 2.82480599e-08 8.09201950e-08 2.83629466e-02]\n  [9.69886243e-01 3.13390132e-08 1.08397366e-07 3.01137082e-02]\n  [9.68326867e-01 2.90547177e-08 1.13944481e-07 3.16730626e-02]]\n\n [[9.74617660e-01 7.11034360e-08 2.43761292e-07 2.53820475e-02]\n  [9.74169314e-01 1.68010647e-10 6.47247644e-10 2.58306302e-02]\n  [9.70676303e-01 4.21336299e-11 2.91112995e-10 2.93236505e-02]\n  [9.65932727e-01 7.61375268e-11 7.47599815e-10 3.40672992e-02]\n  [9.63805556e-01 6.62224234e-11 8.49243287e-10 3.61944847e-02]]\n\n [[9.85754669e-01 8.98161279e-09 4.52998350e-08 1.42453425e-02]\n  [9.83951926e-01 1.79672961e-11 1.23242416e-10 1.60481725e-02]\n  [9.79259014e-01 5.61003154e-12 9.75356323e-11 2.07409170e-02]\n  [9.70645189e-01 1.28440817e-11 3.35592276e-10 2.93547455e-02]\n  [9.70318139e-01 8.13877958e-12 2.84376661e-10 2.96818521e-02]]\n\n ...\n\n [[9.09192681e-01 2.79546039e-05 8.19434936e-05 9.06974599e-02]\n  [8.98066938e-01 8.11427071e-07 3.57050681e-06 1.01928703e-01]\n  [9.01405752e-01 3.39953885e-07 2.32962589e-06 9.85915661e-02]\n  [9.00769234e-01 4.45329107e-07 3.49861125e-06 9.92267877e-02]\n  [8.99751425e-01 4.71312092e-07 3.78157893e-06 1.00244403e-01]]\n\n [[8.95889342e-01 6.00478888e-05 1.65221732e-04 1.03885397e-01]\n  [8.93531144e-01 2.16499780e-06 8.06782828e-06 1.06458612e-01]\n  [9.03345168e-01 1.06108337e-06 5.76415141e-06 9.66479033e-02]\n  [8.97972345e-01 1.42324018e-06 8.50031847e-06 1.02017835e-01]\n  [8.90564680e-01 1.54655334e-06 9.92905916e-06 1.09423757e-01]]\n\n [[8.54810297e-01 7.10108259e-04 1.63907476e-03 1.42840490e-01]\n  [8.98533106e-01 7.07961517e-05 1.88837425e-04 1.01207308e-01]\n  [9.07138765e-01 5.66878662e-05 1.62206430e-04 9.26423743e-02]\n  [9.01459396e-01 7.63794451e-05 2.26694494e-04 9.82374176e-02]\n  [8.92508805e-01 8.60694345e-05 2.61448760e-04 1.07143752e-01]]]\nPredicted mask after argmax for 2008_002096: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002096 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002096. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002096.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_002096: (1, 256, 256, 4)\nSome predicted mask values: [[[9.44685400e-01 1.60340696e-05 2.94236033e-05 5.52691706e-02]\n  [9.66245055e-01 1.34386624e-07 2.58255341e-07 3.37546580e-02]\n  [9.71636891e-01 2.82480599e-08 8.09201950e-08 2.83629466e-02]\n  [9.69886243e-01 3.13390132e-08 1.08397366e-07 3.01137082e-02]\n  [9.68326867e-01 2.90547177e-08 1.13944481e-07 3.16730626e-02]]\n\n [[9.74617660e-01 7.11034360e-08 2.43761292e-07 2.53820475e-02]\n  [9.74169314e-01 1.68010647e-10 6.47247644e-10 2.58306302e-02]\n  [9.70676303e-01 4.21336299e-11 2.91112995e-10 2.93236505e-02]\n  [9.65932727e-01 7.61375268e-11 7.47599815e-10 3.40672992e-02]\n  [9.63805556e-01 6.62224234e-11 8.49243287e-10 3.61944847e-02]]\n\n [[9.85754669e-01 8.98161279e-09 4.52998350e-08 1.42453425e-02]\n  [9.83951926e-01 1.79672961e-11 1.23242416e-10 1.60481725e-02]\n  [9.79259014e-01 5.61003154e-12 9.75356323e-11 2.07409170e-02]\n  [9.70645189e-01 1.28440817e-11 3.35592276e-10 2.93547455e-02]\n  [9.70318139e-01 8.13877958e-12 2.84376661e-10 2.96818521e-02]]\n\n ...\n\n [[9.09192681e-01 2.79546039e-05 8.19434936e-05 9.06974599e-02]\n  [8.98066938e-01 8.11427071e-07 3.57050681e-06 1.01928703e-01]\n  [9.01405752e-01 3.39953885e-07 2.32962589e-06 9.85915661e-02]\n  [9.00769234e-01 4.45329107e-07 3.49861125e-06 9.92267877e-02]\n  [8.99751425e-01 4.71312092e-07 3.78157893e-06 1.00244403e-01]]\n\n [[8.95889342e-01 6.00478888e-05 1.65221732e-04 1.03885397e-01]\n  [8.93531144e-01 2.16499780e-06 8.06782828e-06 1.06458612e-01]\n  [9.03345168e-01 1.06108337e-06 5.76415141e-06 9.66479033e-02]\n  [8.97972345e-01 1.42324018e-06 8.50031847e-06 1.02017835e-01]\n  [8.90564680e-01 1.54655334e-06 9.92905916e-06 1.09423757e-01]]\n\n [[8.54810297e-01 7.10108259e-04 1.63907476e-03 1.42840490e-01]\n  [8.98533106e-01 7.07961517e-05 1.88837425e-04 1.01207308e-01]\n  [9.07138765e-01 5.66878662e-05 1.62206430e-04 9.26423743e-02]\n  [9.01459396e-01 7.63794451e-05 2.26694494e-04 9.82374176e-02]\n  [8.92508805e-01 8.60694345e-05 2.61448760e-04 1.07143752e-01]]]\nPredicted mask after argmax for 2008_002096: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002096 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002096. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002096.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_002096: (1, 256, 256, 4)\nSome predicted mask values: [[[9.44685400e-01 1.60340696e-05 2.94236033e-05 5.52691706e-02]\n  [9.66245055e-01 1.34386624e-07 2.58255341e-07 3.37546580e-02]\n  [9.71636891e-01 2.82480599e-08 8.09201950e-08 2.83629466e-02]\n  [9.69886243e-01 3.13390132e-08 1.08397366e-07 3.01137082e-02]\n  [9.68326867e-01 2.90547177e-08 1.13944481e-07 3.16730626e-02]]\n\n [[9.74617660e-01 7.11034360e-08 2.43761292e-07 2.53820475e-02]\n  [9.74169314e-01 1.68010647e-10 6.47247644e-10 2.58306302e-02]\n  [9.70676303e-01 4.21336299e-11 2.91112995e-10 2.93236505e-02]\n  [9.65932727e-01 7.61375268e-11 7.47599815e-10 3.40672992e-02]\n  [9.63805556e-01 6.62224234e-11 8.49243287e-10 3.61944847e-02]]\n\n [[9.85754669e-01 8.98161279e-09 4.52998350e-08 1.42453425e-02]\n  [9.83951926e-01 1.79672961e-11 1.23242416e-10 1.60481725e-02]\n  [9.79259014e-01 5.61003154e-12 9.75356323e-11 2.07409170e-02]\n  [9.70645189e-01 1.28440817e-11 3.35592276e-10 2.93547455e-02]\n  [9.70318139e-01 8.13877958e-12 2.84376661e-10 2.96818521e-02]]\n\n ...\n\n [[9.09192681e-01 2.79546039e-05 8.19434936e-05 9.06974599e-02]\n  [8.98066938e-01 8.11427071e-07 3.57050681e-06 1.01928703e-01]\n  [9.01405752e-01 3.39953885e-07 2.32962589e-06 9.85915661e-02]\n  [9.00769234e-01 4.45329107e-07 3.49861125e-06 9.92267877e-02]\n  [8.99751425e-01 4.71312092e-07 3.78157893e-06 1.00244403e-01]]\n\n [[8.95889342e-01 6.00478888e-05 1.65221732e-04 1.03885397e-01]\n  [8.93531144e-01 2.16499780e-06 8.06782828e-06 1.06458612e-01]\n  [9.03345168e-01 1.06108337e-06 5.76415141e-06 9.66479033e-02]\n  [8.97972345e-01 1.42324018e-06 8.50031847e-06 1.02017835e-01]\n  [8.90564680e-01 1.54655334e-06 9.92905916e-06 1.09423757e-01]]\n\n [[8.54810297e-01 7.10108259e-04 1.63907476e-03 1.42840490e-01]\n  [8.98533106e-01 7.07961517e-05 1.88837425e-04 1.01207308e-01]\n  [9.07138765e-01 5.66878662e-05 1.62206430e-04 9.26423743e-02]\n  [9.01459396e-01 7.63794451e-05 2.26694494e-04 9.82374176e-02]\n  [8.92508805e-01 8.60694345e-05 2.61448760e-04 1.07143752e-01]]]\nPredicted mask after argmax for 2008_002096: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002096 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002096. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_002116: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8196077e-01 2.1842675e-07 5.0142108e-07 1.8038489e-02]\n  [9.9192315e-01 2.8208008e-10 5.3015864e-10 8.0768690e-03]\n  [9.9437428e-01 1.6817693e-11 5.3834687e-11 5.6257499e-03]\n  [9.9471635e-01 6.5119858e-12 3.1193003e-11 5.2837175e-03]\n  [9.9554467e-01 1.8916847e-12 1.1302171e-11 4.4553070e-03]]\n\n [[9.9443722e-01 9.3905966e-11 4.7720861e-10 5.5627930e-03]\n  [9.9421149e-01 1.5874287e-14 8.4055172e-14 5.7885391e-03]\n  [9.9256706e-01 1.4495524e-15 1.6812513e-14 7.4329413e-03]\n  [9.9172479e-01 1.2689871e-15 2.7530092e-14 8.2752956e-03]\n  [9.9208331e-01 3.5520263e-16 1.2099427e-14 7.9166489e-03]]\n\n [[9.9805284e-01 2.1283238e-12 1.8548644e-11 1.9472177e-03]\n  [9.9769127e-01 2.8098055e-16 3.3835252e-15 2.3087296e-03]\n  [9.9626637e-01 4.6743940e-17 2.3723244e-15 3.7335465e-03]\n  [9.9376994e-01 8.7892083e-17 9.4176630e-15 6.2300605e-03]\n  [9.9376547e-01 2.5852607e-17 4.8386859e-15 6.2345141e-03]]\n\n ...\n\n [[9.5109808e-01 9.5699413e-08 6.5383091e-07 4.8901133e-02]\n  [9.7532851e-01 2.0119954e-11 4.7473248e-10 2.4671558e-02]\n  [9.8518407e-01 4.0439727e-13 2.0302999e-11 1.4815975e-02]\n  [9.8828435e-01 1.3563147e-13 7.9600293e-12 1.1715641e-02]\n  [9.8952872e-01 6.8612826e-14 4.4817223e-12 1.0471274e-02]]\n\n [[9.3827415e-01 5.2337083e-07 3.0261756e-06 6.1722327e-02]\n  [9.6760756e-01 3.5502831e-10 4.9108211e-09 3.2392439e-02]\n  [9.7846746e-01 1.6013777e-11 4.0073175e-10 2.1532489e-02]\n  [9.8108703e-01 6.1354242e-12 1.9897260e-10 1.8912988e-02]\n  [9.8284048e-01 3.4023186e-12 1.2806324e-10 1.7159596e-02]]\n\n [[9.0389359e-01 4.0670668e-05 1.5317436e-04 9.5912538e-02]\n  [9.5327073e-01 4.4427776e-07 2.2587046e-06 4.6726506e-02]\n  [9.7002071e-01 6.9010021e-08 4.7503346e-07 2.9978730e-02]\n  [9.7143507e-01 4.7002612e-08 3.6705666e-07 2.8564557e-02]\n  [9.7251421e-01 3.6988109e-08 3.1293496e-07 2.7485436e-02]]]\nPredicted mask after argmax for 2008_002116: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002116 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002116. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask shape for 2008_002116: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8196077e-01 2.1842675e-07 5.0142108e-07 1.8038489e-02]\n  [9.9192315e-01 2.8208008e-10 5.3015864e-10 8.0768690e-03]\n  [9.9437428e-01 1.6817693e-11 5.3834687e-11 5.6257499e-03]\n  [9.9471635e-01 6.5119858e-12 3.1193003e-11 5.2837175e-03]\n  [9.9554467e-01 1.8916847e-12 1.1302171e-11 4.4553070e-03]]\n\n [[9.9443722e-01 9.3905966e-11 4.7720861e-10 5.5627930e-03]\n  [9.9421149e-01 1.5874287e-14 8.4055172e-14 5.7885391e-03]\n  [9.9256706e-01 1.4495524e-15 1.6812513e-14 7.4329413e-03]\n  [9.9172479e-01 1.2689871e-15 2.7530092e-14 8.2752956e-03]\n  [9.9208331e-01 3.5520263e-16 1.2099427e-14 7.9166489e-03]]\n\n [[9.9805284e-01 2.1283238e-12 1.8548644e-11 1.9472177e-03]\n  [9.9769127e-01 2.8098055e-16 3.3835252e-15 2.3087296e-03]\n  [9.9626637e-01 4.6743940e-17 2.3723244e-15 3.7335465e-03]\n  [9.9376994e-01 8.7892083e-17 9.4176630e-15 6.2300605e-03]\n  [9.9376547e-01 2.5852607e-17 4.8386859e-15 6.2345141e-03]]\n\n ...\n\n [[9.5109808e-01 9.5699413e-08 6.5383091e-07 4.8901133e-02]\n  [9.7532851e-01 2.0119954e-11 4.7473248e-10 2.4671558e-02]\n  [9.8518407e-01 4.0439727e-13 2.0302999e-11 1.4815975e-02]\n  [9.8828435e-01 1.3563147e-13 7.9600293e-12 1.1715641e-02]\n  [9.8952872e-01 6.8612826e-14 4.4817223e-12 1.0471274e-02]]\n\n [[9.3827415e-01 5.2337083e-07 3.0261756e-06 6.1722327e-02]\n  [9.6760756e-01 3.5502831e-10 4.9108211e-09 3.2392439e-02]\n  [9.7846746e-01 1.6013777e-11 4.0073175e-10 2.1532489e-02]\n  [9.8108703e-01 6.1354242e-12 1.9897260e-10 1.8912988e-02]\n  [9.8284048e-01 3.4023186e-12 1.2806324e-10 1.7159596e-02]]\n\n [[9.0389359e-01 4.0670668e-05 1.5317436e-04 9.5912538e-02]\n  [9.5327073e-01 4.4427776e-07 2.2587046e-06 4.6726506e-02]\n  [9.7002071e-01 6.9010021e-08 4.7503346e-07 2.9978730e-02]\n  [9.7143507e-01 4.7002612e-08 3.6705666e-07 2.8564557e-02]\n  [9.7251421e-01 3.6988109e-08 3.1293496e-07 2.7485436e-02]]]\nPredicted mask after argmax for 2008_002116: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002116 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002116. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002116: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8196077e-01 2.1842675e-07 5.0142108e-07 1.8038489e-02]\n  [9.9192315e-01 2.8208008e-10 5.3015864e-10 8.0768690e-03]\n  [9.9437428e-01 1.6817693e-11 5.3834687e-11 5.6257499e-03]\n  [9.9471635e-01 6.5119858e-12 3.1193003e-11 5.2837175e-03]\n  [9.9554467e-01 1.8916847e-12 1.1302171e-11 4.4553070e-03]]\n\n [[9.9443722e-01 9.3905966e-11 4.7720861e-10 5.5627930e-03]\n  [9.9421149e-01 1.5874287e-14 8.4055172e-14 5.7885391e-03]\n  [9.9256706e-01 1.4495524e-15 1.6812513e-14 7.4329413e-03]\n  [9.9172479e-01 1.2689871e-15 2.7530092e-14 8.2752956e-03]\n  [9.9208331e-01 3.5520263e-16 1.2099427e-14 7.9166489e-03]]\n\n [[9.9805284e-01 2.1283238e-12 1.8548644e-11 1.9472177e-03]\n  [9.9769127e-01 2.8098055e-16 3.3835252e-15 2.3087296e-03]\n  [9.9626637e-01 4.6743940e-17 2.3723244e-15 3.7335465e-03]\n  [9.9376994e-01 8.7892083e-17 9.4176630e-15 6.2300605e-03]\n  [9.9376547e-01 2.5852607e-17 4.8386859e-15 6.2345141e-03]]\n\n ...\n\n [[9.5109808e-01 9.5699413e-08 6.5383091e-07 4.8901133e-02]\n  [9.7532851e-01 2.0119954e-11 4.7473248e-10 2.4671558e-02]\n  [9.8518407e-01 4.0439727e-13 2.0302999e-11 1.4815975e-02]\n  [9.8828435e-01 1.3563147e-13 7.9600293e-12 1.1715641e-02]\n  [9.8952872e-01 6.8612826e-14 4.4817223e-12 1.0471274e-02]]\n\n [[9.3827415e-01 5.2337083e-07 3.0261756e-06 6.1722327e-02]\n  [9.6760756e-01 3.5502831e-10 4.9108211e-09 3.2392439e-02]\n  [9.7846746e-01 1.6013777e-11 4.0073175e-10 2.1532489e-02]\n  [9.8108703e-01 6.1354242e-12 1.9897260e-10 1.8912988e-02]\n  [9.8284048e-01 3.4023186e-12 1.2806324e-10 1.7159596e-02]]\n\n [[9.0389359e-01 4.0670668e-05 1.5317436e-04 9.5912538e-02]\n  [9.5327073e-01 4.4427776e-07 2.2587046e-06 4.6726506e-02]\n  [9.7002071e-01 6.9010021e-08 4.7503346e-07 2.9978730e-02]\n  [9.7143507e-01 4.7002612e-08 3.6705666e-07 2.8564557e-02]\n  [9.7251421e-01 3.6988109e-08 3.1293496e-07 2.7485436e-02]]]\nPredicted mask after argmax for 2008_002116: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002116 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002116. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002150.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002150: (1, 256, 256, 4)\nSome predicted mask values: [[[9.90629375e-01 1.13685426e-08 3.24716929e-08 9.37064923e-03]\n  [9.97070312e-01 1.81816368e-12 4.78853329e-12 2.92966096e-03]\n  [9.98461008e-01 2.78246681e-14 1.32820797e-13 1.53905340e-03]\n  [9.98796225e-01 5.53343458e-15 3.92014437e-14 1.20376807e-03]\n  [9.99077916e-01 1.15800500e-15 9.83108960e-15 9.22108593e-04]]\n\n [[9.97281909e-01 1.52601608e-12 1.12187126e-11 2.71808705e-03]\n  [9.97799337e-01 2.10734121e-17 1.86173157e-16 2.20061210e-03]\n  [9.97684836e-01 4.07088925e-19 8.78520404e-18 2.31515942e-03]\n  [9.97706413e-01 1.87911395e-19 7.67691768e-18 2.29361327e-03]\n  [9.97905254e-01 3.68287692e-20 2.36466721e-18 2.09476217e-03]]\n\n [[9.99164104e-01 2.85174580e-14 4.11033973e-13 8.35967658e-04]\n  [9.99213457e-01 2.87706600e-19 7.40969947e-18 7.86516175e-04]\n  [9.98834550e-01 1.11850660e-20 1.41534005e-18 1.16549665e-03]\n  [9.98337746e-01 1.09868415e-20 3.24274508e-18 1.66227028e-03]\n  [9.98397768e-01 2.29059378e-21 1.25142893e-18 1.60220405e-03]]\n\n ...\n\n [[9.08508003e-01 1.77933616e-05 5.87843533e-05 9.14153755e-02]\n  [9.12728786e-01 2.74868768e-07 1.47493688e-06 8.72694030e-02]\n  [9.16358709e-01 9.05950870e-08 7.51135190e-07 8.36403742e-02]\n  [9.20053005e-01 1.01192349e-07 9.82898086e-07 7.99459293e-02]\n  [9.21242654e-01 9.82397239e-08 9.75553235e-07 7.87562355e-02]]\n\n [[8.91623199e-01 4.63972501e-05 1.44867910e-04 1.08185403e-01]\n  [9.01454389e-01 9.59097179e-07 4.47747880e-06 9.85401124e-02]\n  [9.14528131e-01 3.27389017e-07 2.22628591e-06 8.54693651e-02]\n  [9.12372291e-01 3.36875331e-07 2.54488555e-06 8.76249075e-02]\n  [9.13412333e-01 2.99994412e-07 2.52353493e-06 8.65848660e-02]]\n\n [[8.48569453e-01 6.79543067e-04 1.71092444e-03 1.49040073e-01]\n  [8.95823121e-01 5.56834239e-05 1.64911849e-04 1.03956297e-01]\n  [9.10380840e-01 3.33125899e-05 1.12898546e-04 8.94729644e-02]\n  [9.05287385e-01 3.76761709e-05 1.32737303e-04 9.45422575e-02]\n  [8.99831235e-01 3.83074657e-05 1.38578660e-04 9.99919325e-02]]]\nPredicted mask after argmax for 2008_002150: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002150 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002150. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002150.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002150: (1, 256, 256, 4)\nSome predicted mask values: [[[9.90629375e-01 1.13685426e-08 3.24716929e-08 9.37064923e-03]\n  [9.97070312e-01 1.81816368e-12 4.78853329e-12 2.92966096e-03]\n  [9.98461008e-01 2.78246681e-14 1.32820797e-13 1.53905340e-03]\n  [9.98796225e-01 5.53343458e-15 3.92014437e-14 1.20376807e-03]\n  [9.99077916e-01 1.15800500e-15 9.83108960e-15 9.22108593e-04]]\n\n [[9.97281909e-01 1.52601608e-12 1.12187126e-11 2.71808705e-03]\n  [9.97799337e-01 2.10734121e-17 1.86173157e-16 2.20061210e-03]\n  [9.97684836e-01 4.07088925e-19 8.78520404e-18 2.31515942e-03]\n  [9.97706413e-01 1.87911395e-19 7.67691768e-18 2.29361327e-03]\n  [9.97905254e-01 3.68287692e-20 2.36466721e-18 2.09476217e-03]]\n\n [[9.99164104e-01 2.85174580e-14 4.11033973e-13 8.35967658e-04]\n  [9.99213457e-01 2.87706600e-19 7.40969947e-18 7.86516175e-04]\n  [9.98834550e-01 1.11850660e-20 1.41534005e-18 1.16549665e-03]\n  [9.98337746e-01 1.09868415e-20 3.24274508e-18 1.66227028e-03]\n  [9.98397768e-01 2.29059378e-21 1.25142893e-18 1.60220405e-03]]\n\n ...\n\n [[9.08508003e-01 1.77933616e-05 5.87843533e-05 9.14153755e-02]\n  [9.12728786e-01 2.74868768e-07 1.47493688e-06 8.72694030e-02]\n  [9.16358709e-01 9.05950870e-08 7.51135190e-07 8.36403742e-02]\n  [9.20053005e-01 1.01192349e-07 9.82898086e-07 7.99459293e-02]\n  [9.21242654e-01 9.82397239e-08 9.75553235e-07 7.87562355e-02]]\n\n [[8.91623199e-01 4.63972501e-05 1.44867910e-04 1.08185403e-01]\n  [9.01454389e-01 9.59097179e-07 4.47747880e-06 9.85401124e-02]\n  [9.14528131e-01 3.27389017e-07 2.22628591e-06 8.54693651e-02]\n  [9.12372291e-01 3.36875331e-07 2.54488555e-06 8.76249075e-02]\n  [9.13412333e-01 2.99994412e-07 2.52353493e-06 8.65848660e-02]]\n\n [[8.48569453e-01 6.79543067e-04 1.71092444e-03 1.49040073e-01]\n  [8.95823121e-01 5.56834239e-05 1.64911849e-04 1.03956297e-01]\n  [9.10380840e-01 3.33125899e-05 1.12898546e-04 8.94729644e-02]\n  [9.05287385e-01 3.76761709e-05 1.32737303e-04 9.45422575e-02]\n  [8.99831235e-01 3.83074657e-05 1.38578660e-04 9.99919325e-02]]]\nPredicted mask after argmax for 2008_002150: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002150 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002150. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002152.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002152: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8422354e-01 1.2291844e-07 2.8150859e-07 1.5776083e-02]\n  [9.9196684e-01 1.8783206e-10 3.5047298e-10 8.0331378e-03]\n  [9.9384457e-01 1.3821821e-11 5.1773860e-11 6.1554010e-03]\n  [9.9391007e-01 5.6147413e-12 3.4378850e-11 6.0899113e-03]\n  [9.9541909e-01 7.5403030e-13 6.4038683e-12 4.5808665e-03]]\n\n [[9.9599832e-01 2.5438561e-11 1.3838657e-10 4.0016519e-03]\n  [9.9517536e-01 5.0355012e-15 2.7602652e-14 4.8246160e-03]\n  [9.9316168e-01 6.0227965e-16 9.0692038e-15 6.8382793e-03]\n  [9.9210101e-01 5.7636754e-16 1.8019201e-14 7.8990292e-03]\n  [9.9352843e-01 5.5025236e-17 3.1271840e-15 6.4715631e-03]]\n\n [[9.9874675e-01 3.5600123e-13 3.3815778e-12 1.2531779e-03]\n  [9.9824178e-01 4.7991977e-17 6.0984996e-16 1.7582597e-03]\n  [9.9668992e-01 1.0309077e-17 6.7215707e-16 3.3100082e-03]\n  [9.9436468e-01 2.0965331e-17 3.3133070e-15 5.6352429e-03]\n  [9.9520677e-01 1.9328597e-18 6.4718346e-16 4.7931555e-03]]\n\n ...\n\n [[9.4268477e-01 1.1883466e-06 5.2181199e-06 5.7308733e-02]\n  [9.4913262e-01 5.3755680e-09 4.6305768e-08 5.0867379e-02]\n  [9.5014691e-01 1.2982327e-09 1.8902591e-08 4.9853016e-02]\n  [9.5226943e-01 1.7260601e-09 2.9036826e-08 4.7730610e-02]\n  [9.5157725e-01 2.0674624e-09 3.4533738e-08 4.8422828e-02]]\n\n [[9.2967129e-01 3.8644680e-06 1.5767248e-05 7.0309140e-02]\n  [9.4042677e-01 2.6997649e-08 1.8400573e-07 5.9572987e-02]\n  [9.4736123e-01 7.6241742e-09 8.0214349e-08 5.2638680e-02]\n  [9.4477469e-01 9.6567492e-09 1.1495186e-07 5.5225249e-02]\n  [9.4365108e-01 1.0527287e-08 1.3812654e-07 5.6348771e-02]]\n\n [[8.9176494e-01 1.2286454e-04 3.7961264e-04 1.0773251e-01]\n  [9.3436706e-01 4.7973926e-06 1.7923121e-05 6.5610282e-02]\n  [9.4579035e-01 2.4655301e-06 1.0639471e-05 5.4196551e-02]\n  [9.4155574e-01 3.3196563e-06 1.5010122e-05 5.8425892e-02]\n  [9.3590790e-01 3.8830976e-06 1.8098226e-05 6.4070098e-02]]]\nPredicted mask after argmax for 2008_002152: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002152 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002152. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002152.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002152: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8422354e-01 1.2291844e-07 2.8150859e-07 1.5776083e-02]\n  [9.9196684e-01 1.8783206e-10 3.5047298e-10 8.0331378e-03]\n  [9.9384457e-01 1.3821821e-11 5.1773860e-11 6.1554010e-03]\n  [9.9391007e-01 5.6147413e-12 3.4378850e-11 6.0899113e-03]\n  [9.9541909e-01 7.5403030e-13 6.4038683e-12 4.5808665e-03]]\n\n [[9.9599832e-01 2.5438561e-11 1.3838657e-10 4.0016519e-03]\n  [9.9517536e-01 5.0355012e-15 2.7602652e-14 4.8246160e-03]\n  [9.9316168e-01 6.0227965e-16 9.0692038e-15 6.8382793e-03]\n  [9.9210101e-01 5.7636754e-16 1.8019201e-14 7.8990292e-03]\n  [9.9352843e-01 5.5025236e-17 3.1271840e-15 6.4715631e-03]]\n\n [[9.9874675e-01 3.5600123e-13 3.3815778e-12 1.2531779e-03]\n  [9.9824178e-01 4.7991977e-17 6.0984996e-16 1.7582597e-03]\n  [9.9668992e-01 1.0309077e-17 6.7215707e-16 3.3100082e-03]\n  [9.9436468e-01 2.0965331e-17 3.3133070e-15 5.6352429e-03]\n  [9.9520677e-01 1.9328597e-18 6.4718346e-16 4.7931555e-03]]\n\n ...\n\n [[9.4268477e-01 1.1883466e-06 5.2181199e-06 5.7308733e-02]\n  [9.4913262e-01 5.3755680e-09 4.6305768e-08 5.0867379e-02]\n  [9.5014691e-01 1.2982327e-09 1.8902591e-08 4.9853016e-02]\n  [9.5226943e-01 1.7260601e-09 2.9036826e-08 4.7730610e-02]\n  [9.5157725e-01 2.0674624e-09 3.4533738e-08 4.8422828e-02]]\n\n [[9.2967129e-01 3.8644680e-06 1.5767248e-05 7.0309140e-02]\n  [9.4042677e-01 2.6997649e-08 1.8400573e-07 5.9572987e-02]\n  [9.4736123e-01 7.6241742e-09 8.0214349e-08 5.2638680e-02]\n  [9.4477469e-01 9.6567492e-09 1.1495186e-07 5.5225249e-02]\n  [9.4365108e-01 1.0527287e-08 1.3812654e-07 5.6348771e-02]]\n\n [[8.9176494e-01 1.2286454e-04 3.7961264e-04 1.0773251e-01]\n  [9.3436706e-01 4.7973926e-06 1.7923121e-05 6.5610282e-02]\n  [9.4579035e-01 2.4655301e-06 1.0639471e-05 5.4196551e-02]\n  [9.4155574e-01 3.3196563e-06 1.5010122e-05 5.8425892e-02]\n  [9.3590790e-01 3.8830976e-06 1.8098226e-05 6.4070098e-02]]]\nPredicted mask after argmax for 2008_002152: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002152 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002152. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002152.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002152: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8422354e-01 1.2291844e-07 2.8150859e-07 1.5776083e-02]\n  [9.9196684e-01 1.8783206e-10 3.5047298e-10 8.0331378e-03]\n  [9.9384457e-01 1.3821821e-11 5.1773860e-11 6.1554010e-03]\n  [9.9391007e-01 5.6147413e-12 3.4378850e-11 6.0899113e-03]\n  [9.9541909e-01 7.5403030e-13 6.4038683e-12 4.5808665e-03]]\n\n [[9.9599832e-01 2.5438561e-11 1.3838657e-10 4.0016519e-03]\n  [9.9517536e-01 5.0355012e-15 2.7602652e-14 4.8246160e-03]\n  [9.9316168e-01 6.0227965e-16 9.0692038e-15 6.8382793e-03]\n  [9.9210101e-01 5.7636754e-16 1.8019201e-14 7.8990292e-03]\n  [9.9352843e-01 5.5025236e-17 3.1271840e-15 6.4715631e-03]]\n\n [[9.9874675e-01 3.5600123e-13 3.3815778e-12 1.2531779e-03]\n  [9.9824178e-01 4.7991977e-17 6.0984996e-16 1.7582597e-03]\n  [9.9668992e-01 1.0309077e-17 6.7215707e-16 3.3100082e-03]\n  [9.9436468e-01 2.0965331e-17 3.3133070e-15 5.6352429e-03]\n  [9.9520677e-01 1.9328597e-18 6.4718346e-16 4.7931555e-03]]\n\n ...\n\n [[9.4268477e-01 1.1883466e-06 5.2181199e-06 5.7308733e-02]\n  [9.4913262e-01 5.3755680e-09 4.6305768e-08 5.0867379e-02]\n  [9.5014691e-01 1.2982327e-09 1.8902591e-08 4.9853016e-02]\n  [9.5226943e-01 1.7260601e-09 2.9036826e-08 4.7730610e-02]\n  [9.5157725e-01 2.0674624e-09 3.4533738e-08 4.8422828e-02]]\n\n [[9.2967129e-01 3.8644680e-06 1.5767248e-05 7.0309140e-02]\n  [9.4042677e-01 2.6997649e-08 1.8400573e-07 5.9572987e-02]\n  [9.4736123e-01 7.6241742e-09 8.0214349e-08 5.2638680e-02]\n  [9.4477469e-01 9.6567492e-09 1.1495186e-07 5.5225249e-02]\n  [9.4365108e-01 1.0527287e-08 1.3812654e-07 5.6348771e-02]]\n\n [[8.9176494e-01 1.2286454e-04 3.7961264e-04 1.0773251e-01]\n  [9.3436706e-01 4.7973926e-06 1.7923121e-05 6.5610282e-02]\n  [9.4579035e-01 2.4655301e-06 1.0639471e-05 5.4196551e-02]\n  [9.4155574e-01 3.3196563e-06 1.5010122e-05 5.8425892e-02]\n  [9.3590790e-01 3.8830976e-06 1.8098226e-05 6.4070098e-02]]]\nPredicted mask after argmax for 2008_002152: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002152 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002152. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002152.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002152: (1, 256, 256, 4)\nSome predicted mask values: [[[9.8422354e-01 1.2291844e-07 2.8150859e-07 1.5776083e-02]\n  [9.9196684e-01 1.8783206e-10 3.5047298e-10 8.0331378e-03]\n  [9.9384457e-01 1.3821821e-11 5.1773860e-11 6.1554010e-03]\n  [9.9391007e-01 5.6147413e-12 3.4378850e-11 6.0899113e-03]\n  [9.9541909e-01 7.5403030e-13 6.4038683e-12 4.5808665e-03]]\n\n [[9.9599832e-01 2.5438561e-11 1.3838657e-10 4.0016519e-03]\n  [9.9517536e-01 5.0355012e-15 2.7602652e-14 4.8246160e-03]\n  [9.9316168e-01 6.0227965e-16 9.0692038e-15 6.8382793e-03]\n  [9.9210101e-01 5.7636754e-16 1.8019201e-14 7.8990292e-03]\n  [9.9352843e-01 5.5025236e-17 3.1271840e-15 6.4715631e-03]]\n\n [[9.9874675e-01 3.5600123e-13 3.3815778e-12 1.2531779e-03]\n  [9.9824178e-01 4.7991977e-17 6.0984996e-16 1.7582597e-03]\n  [9.9668992e-01 1.0309077e-17 6.7215707e-16 3.3100082e-03]\n  [9.9436468e-01 2.0965331e-17 3.3133070e-15 5.6352429e-03]\n  [9.9520677e-01 1.9328597e-18 6.4718346e-16 4.7931555e-03]]\n\n ...\n\n [[9.4268477e-01 1.1883466e-06 5.2181199e-06 5.7308733e-02]\n  [9.4913262e-01 5.3755680e-09 4.6305768e-08 5.0867379e-02]\n  [9.5014691e-01 1.2982327e-09 1.8902591e-08 4.9853016e-02]\n  [9.5226943e-01 1.7260601e-09 2.9036826e-08 4.7730610e-02]\n  [9.5157725e-01 2.0674624e-09 3.4533738e-08 4.8422828e-02]]\n\n [[9.2967129e-01 3.8644680e-06 1.5767248e-05 7.0309140e-02]\n  [9.4042677e-01 2.6997649e-08 1.8400573e-07 5.9572987e-02]\n  [9.4736123e-01 7.6241742e-09 8.0214349e-08 5.2638680e-02]\n  [9.4477469e-01 9.6567492e-09 1.1495186e-07 5.5225249e-02]\n  [9.4365108e-01 1.0527287e-08 1.3812654e-07 5.6348771e-02]]\n\n [[8.9176494e-01 1.2286454e-04 3.7961264e-04 1.0773251e-01]\n  [9.3436706e-01 4.7973926e-06 1.7923121e-05 6.5610282e-02]\n  [9.4579035e-01 2.4655301e-06 1.0639471e-05 5.4196551e-02]\n  [9.4155574e-01 3.3196563e-06 1.5010122e-05 5.8425892e-02]\n  [9.3590790e-01 3.8830976e-06 1.8098226e-05 6.4070098e-02]]]\nPredicted mask after argmax for 2008_002152: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002152 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002152. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002160.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002160: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84789670e-01 1.11653058e-07 2.64384767e-07 1.52099421e-02]\n  [9.93479729e-01 1.09858810e-10 2.07397433e-10 6.52030297e-03]\n  [9.95511591e-01 5.85808528e-12 1.93481620e-11 4.48836759e-03]\n  [9.95773256e-01 2.13493112e-12 1.09400622e-11 4.22675814e-03]\n  [9.96422827e-01 5.91815117e-13 3.84959902e-12 3.57717555e-03]]\n\n [[9.95622456e-01 3.37385120e-11 1.82083834e-10 4.37756488e-03]\n  [9.95448053e-01 3.94975444e-15 2.15783320e-14 4.55198530e-03]\n  [9.93960917e-01 3.31207352e-16 4.13359617e-15 6.03902666e-03]\n  [9.93162394e-01 2.90134698e-16 7.13854550e-15 6.83759945e-03]\n  [9.93521392e-01 7.66779289e-17 3.04687725e-15 6.47863746e-03]]\n\n [[9.98586476e-01 5.86723975e-13 5.51920142e-12 1.41344091e-03]\n  [9.98350024e-01 5.13663279e-17 6.59987373e-16 1.64998253e-03]\n  [9.97247636e-01 7.94180077e-18 4.69414277e-16 2.75234808e-03]\n  [9.95114326e-01 1.67282588e-17 2.18857199e-15 4.88562556e-03]\n  [9.95041490e-01 4.73218986e-18 1.12546274e-15 4.95842751e-03]]\n\n ...\n\n [[9.19908404e-01 1.05491390e-05 3.58008620e-05 8.00452605e-02]\n  [9.14804876e-01 1.76549861e-07 9.98035375e-07 8.51939172e-02]\n  [9.19510901e-01 5.75820494e-08 5.15613294e-07 8.04883838e-02]\n  [9.21023965e-01 7.37683479e-08 7.63830144e-07 7.89751783e-02]\n  [9.19927895e-01 8.28351148e-08 8.56116230e-07 8.00710842e-02]]\n\n [[9.05268788e-01 2.89443924e-05 9.00296582e-05 9.46122408e-02]\n  [9.07029033e-01 6.90621675e-07 3.13780674e-06 9.29671898e-02]\n  [9.17322934e-01 2.71048663e-07 1.82147869e-06 8.26750547e-02]\n  [9.12998557e-01 3.45212726e-07 2.56374142e-06 8.69984627e-02]\n  [9.09462452e-01 3.50986568e-07 2.86757063e-06 9.05343741e-02]]\n\n [[8.65336180e-01 4.49566462e-04 1.13274902e-03 1.33081496e-01]\n  [9.09118652e-01 3.67682260e-05 1.07615626e-04 9.07369554e-02]\n  [9.18359220e-01 2.58254640e-05 8.37680855e-05 8.15311968e-02]\n  [9.13312495e-01 3.35884397e-05 1.13495342e-04 8.65404382e-02]\n  [9.05220926e-01 3.61720558e-05 1.25718449e-04 9.46172327e-02]]]\nPredicted mask after argmax for 2008_002160: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002160 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002160. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002160.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_002160: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84789670e-01 1.11653058e-07 2.64384767e-07 1.52099421e-02]\n  [9.93479729e-01 1.09858810e-10 2.07397433e-10 6.52030297e-03]\n  [9.95511591e-01 5.85808528e-12 1.93481620e-11 4.48836759e-03]\n  [9.95773256e-01 2.13493112e-12 1.09400622e-11 4.22675814e-03]\n  [9.96422827e-01 5.91815117e-13 3.84959902e-12 3.57717555e-03]]\n\n [[9.95622456e-01 3.37385120e-11 1.82083834e-10 4.37756488e-03]\n  [9.95448053e-01 3.94975444e-15 2.15783320e-14 4.55198530e-03]\n  [9.93960917e-01 3.31207352e-16 4.13359617e-15 6.03902666e-03]\n  [9.93162394e-01 2.90134698e-16 7.13854550e-15 6.83759945e-03]\n  [9.93521392e-01 7.66779289e-17 3.04687725e-15 6.47863746e-03]]\n\n [[9.98586476e-01 5.86723975e-13 5.51920142e-12 1.41344091e-03]\n  [9.98350024e-01 5.13663279e-17 6.59987373e-16 1.64998253e-03]\n  [9.97247636e-01 7.94180077e-18 4.69414277e-16 2.75234808e-03]\n  [9.95114326e-01 1.67282588e-17 2.18857199e-15 4.88562556e-03]\n  [9.95041490e-01 4.73218986e-18 1.12546274e-15 4.95842751e-03]]\n\n ...\n\n [[9.19908404e-01 1.05491390e-05 3.58008620e-05 8.00452605e-02]\n  [9.14804876e-01 1.76549861e-07 9.98035375e-07 8.51939172e-02]\n  [9.19510901e-01 5.75820494e-08 5.15613294e-07 8.04883838e-02]\n  [9.21023965e-01 7.37683479e-08 7.63830144e-07 7.89751783e-02]\n  [9.19927895e-01 8.28351148e-08 8.56116230e-07 8.00710842e-02]]\n\n [[9.05268788e-01 2.89443924e-05 9.00296582e-05 9.46122408e-02]\n  [9.07029033e-01 6.90621675e-07 3.13780674e-06 9.29671898e-02]\n  [9.17322934e-01 2.71048663e-07 1.82147869e-06 8.26750547e-02]\n  [9.12998557e-01 3.45212726e-07 2.56374142e-06 8.69984627e-02]\n  [9.09462452e-01 3.50986568e-07 2.86757063e-06 9.05343741e-02]]\n\n [[8.65336180e-01 4.49566462e-04 1.13274902e-03 1.33081496e-01]\n  [9.09118652e-01 3.67682260e-05 1.07615626e-04 9.07369554e-02]\n  [9.18359220e-01 2.58254640e-05 8.37680855e-05 8.15311968e-02]\n  [9.13312495e-01 3.35884397e-05 1.13495342e-04 8.65404382e-02]\n  [9.05220926e-01 3.61720558e-05 1.25718449e-04 9.46172327e-02]]]\nPredicted mask after argmax for 2008_002160: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002160 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002160. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002160.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_002160: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84789670e-01 1.11653058e-07 2.64384767e-07 1.52099421e-02]\n  [9.93479729e-01 1.09858810e-10 2.07397433e-10 6.52030297e-03]\n  [9.95511591e-01 5.85808528e-12 1.93481620e-11 4.48836759e-03]\n  [9.95773256e-01 2.13493112e-12 1.09400622e-11 4.22675814e-03]\n  [9.96422827e-01 5.91815117e-13 3.84959902e-12 3.57717555e-03]]\n\n [[9.95622456e-01 3.37385120e-11 1.82083834e-10 4.37756488e-03]\n  [9.95448053e-01 3.94975444e-15 2.15783320e-14 4.55198530e-03]\n  [9.93960917e-01 3.31207352e-16 4.13359617e-15 6.03902666e-03]\n  [9.93162394e-01 2.90134698e-16 7.13854550e-15 6.83759945e-03]\n  [9.93521392e-01 7.66779289e-17 3.04687725e-15 6.47863746e-03]]\n\n [[9.98586476e-01 5.86723975e-13 5.51920142e-12 1.41344091e-03]\n  [9.98350024e-01 5.13663279e-17 6.59987373e-16 1.64998253e-03]\n  [9.97247636e-01 7.94180077e-18 4.69414277e-16 2.75234808e-03]\n  [9.95114326e-01 1.67282588e-17 2.18857199e-15 4.88562556e-03]\n  [9.95041490e-01 4.73218986e-18 1.12546274e-15 4.95842751e-03]]\n\n ...\n\n [[9.19908404e-01 1.05491390e-05 3.58008620e-05 8.00452605e-02]\n  [9.14804876e-01 1.76549861e-07 9.98035375e-07 8.51939172e-02]\n  [9.19510901e-01 5.75820494e-08 5.15613294e-07 8.04883838e-02]\n  [9.21023965e-01 7.37683479e-08 7.63830144e-07 7.89751783e-02]\n  [9.19927895e-01 8.28351148e-08 8.56116230e-07 8.00710842e-02]]\n\n [[9.05268788e-01 2.89443924e-05 9.00296582e-05 9.46122408e-02]\n  [9.07029033e-01 6.90621675e-07 3.13780674e-06 9.29671898e-02]\n  [9.17322934e-01 2.71048663e-07 1.82147869e-06 8.26750547e-02]\n  [9.12998557e-01 3.45212726e-07 2.56374142e-06 8.69984627e-02]\n  [9.09462452e-01 3.50986568e-07 2.86757063e-06 9.05343741e-02]]\n\n [[8.65336180e-01 4.49566462e-04 1.13274902e-03 1.33081496e-01]\n  [9.09118652e-01 3.67682260e-05 1.07615626e-04 9.07369554e-02]\n  [9.18359220e-01 2.58254640e-05 8.37680855e-05 8.15311968e-02]\n  [9.13312495e-01 3.35884397e-05 1.13495342e-04 8.65404382e-02]\n  [9.05220926e-01 3.61720558e-05 1.25718449e-04 9.46172327e-02]]]\nPredicted mask after argmax for 2008_002160: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002160 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002160. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002160.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask shape for 2008_002160: (1, 256, 256, 4)\nSome predicted mask values: [[[9.84789670e-01 1.11653058e-07 2.64384767e-07 1.52099421e-02]\n  [9.93479729e-01 1.09858810e-10 2.07397433e-10 6.52030297e-03]\n  [9.95511591e-01 5.85808528e-12 1.93481620e-11 4.48836759e-03]\n  [9.95773256e-01 2.13493112e-12 1.09400622e-11 4.22675814e-03]\n  [9.96422827e-01 5.91815117e-13 3.84959902e-12 3.57717555e-03]]\n\n [[9.95622456e-01 3.37385120e-11 1.82083834e-10 4.37756488e-03]\n  [9.95448053e-01 3.94975444e-15 2.15783320e-14 4.55198530e-03]\n  [9.93960917e-01 3.31207352e-16 4.13359617e-15 6.03902666e-03]\n  [9.93162394e-01 2.90134698e-16 7.13854550e-15 6.83759945e-03]\n  [9.93521392e-01 7.66779289e-17 3.04687725e-15 6.47863746e-03]]\n\n [[9.98586476e-01 5.86723975e-13 5.51920142e-12 1.41344091e-03]\n  [9.98350024e-01 5.13663279e-17 6.59987373e-16 1.64998253e-03]\n  [9.97247636e-01 7.94180077e-18 4.69414277e-16 2.75234808e-03]\n  [9.95114326e-01 1.67282588e-17 2.18857199e-15 4.88562556e-03]\n  [9.95041490e-01 4.73218986e-18 1.12546274e-15 4.95842751e-03]]\n\n ...\n\n [[9.19908404e-01 1.05491390e-05 3.58008620e-05 8.00452605e-02]\n  [9.14804876e-01 1.76549861e-07 9.98035375e-07 8.51939172e-02]\n  [9.19510901e-01 5.75820494e-08 5.15613294e-07 8.04883838e-02]\n  [9.21023965e-01 7.37683479e-08 7.63830144e-07 7.89751783e-02]\n  [9.19927895e-01 8.28351148e-08 8.56116230e-07 8.00710842e-02]]\n\n [[9.05268788e-01 2.89443924e-05 9.00296582e-05 9.46122408e-02]\n  [9.07029033e-01 6.90621675e-07 3.13780674e-06 9.29671898e-02]\n  [9.17322934e-01 2.71048663e-07 1.82147869e-06 8.26750547e-02]\n  [9.12998557e-01 3.45212726e-07 2.56374142e-06 8.69984627e-02]\n  [9.09462452e-01 3.50986568e-07 2.86757063e-06 9.05343741e-02]]\n\n [[8.65336180e-01 4.49566462e-04 1.13274902e-03 1.33081496e-01]\n  [9.09118652e-01 3.67682260e-05 1.07615626e-04 9.07369554e-02]\n  [9.18359220e-01 2.58254640e-05 8.37680855e-05 8.15311968e-02]\n  [9.13312495e-01 3.35884397e-05 1.13495342e-04 8.65404382e-02]\n  [9.05220926e-01 3.61720558e-05 1.25718449e-04 9.46172327e-02]]]\nPredicted mask after argmax for 2008_002160: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002160 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002160. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002172.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002172: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94255662e-01 1.39643408e-09 4.48423076e-09 5.74430078e-03]\n  [9.98354852e-01 9.00117654e-14 2.72271978e-13 1.64513697e-03]\n  [9.99148488e-01 1.09142599e-15 6.60754944e-15 8.51532328e-04]\n  [9.99308586e-01 2.43066004e-16 2.30461571e-15 6.91460504e-04]\n  [9.99453366e-01 5.25911739e-17 6.23352986e-16 5.46675990e-04]]\n\n [[9.98632491e-01 5.59145015e-14 5.19997186e-13 1.36752438e-03]\n  [9.98899102e-01 2.29608639e-19 2.66795216e-18 1.10093015e-03]\n  [9.98795390e-01 3.58948403e-21 1.17392930e-19 1.20454677e-03]\n  [9.98743773e-01 2.12430240e-21 1.40882248e-19 1.25614589e-03]\n  [9.98833597e-01 4.25043759e-22 4.77866343e-20 1.16646080e-03]]\n\n [[9.99648929e-01 5.67362203e-16 1.12880862e-14 3.51103547e-04]\n  [9.99669969e-01 1.45949224e-21 5.55273097e-20 3.29965813e-04]\n  [9.99470234e-01 4.88638399e-23 1.11387721e-20 5.29730343e-04]\n  [9.99172390e-01 6.47827027e-23 3.76510643e-20 8.27541924e-04]\n  [9.99189436e-01 1.35391314e-23 1.57796770e-20 8.10571539e-04]]\n\n ...\n\n [[9.12867427e-01 2.20584225e-05 6.75133851e-05 8.70429948e-02]\n  [9.01770175e-01 6.35998049e-07 2.85472265e-06 9.82262865e-02]\n  [9.04303730e-01 3.05859345e-07 2.14721808e-06 9.56938267e-02]\n  [9.00707424e-01 4.75701569e-07 3.74186493e-06 9.92884338e-02]\n  [8.97752464e-01 6.06415199e-07 4.70105124e-06 1.02242209e-01]]\n\n [[8.96758199e-01 5.56762461e-05 1.57362549e-04 1.03028737e-01]\n  [8.94748092e-01 1.95565144e-06 7.44094996e-06 1.05242550e-01]\n  [9.06207919e-01 9.83383757e-07 5.47316949e-06 9.37856510e-02]\n  [8.98452342e-01 1.46253660e-06 8.80392145e-06 1.01537317e-01]\n  [8.88535798e-01 1.93321830e-06 1.22576703e-05 1.11449964e-01]]\n\n [[8.54831100e-01 7.12313282e-04 1.66606170e-03 1.42790541e-01]\n  [8.98637950e-01 6.93938200e-05 1.88371298e-04 1.01104289e-01]\n  [9.07711327e-01 5.59861255e-05 1.63450663e-04 9.20691639e-02]\n  [8.99172246e-01 7.93931467e-05 2.38199995e-04 1.00510143e-01]\n  [8.85395885e-01 1.06037347e-04 3.19214887e-04 1.14178844e-01]]]\nPredicted mask after argmax for 2008_002172: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002172 has shape: (302, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002172. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002172.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002172: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94255662e-01 1.39643408e-09 4.48423076e-09 5.74430078e-03]\n  [9.98354852e-01 9.00117654e-14 2.72271978e-13 1.64513697e-03]\n  [9.99148488e-01 1.09142599e-15 6.60754944e-15 8.51532328e-04]\n  [9.99308586e-01 2.43066004e-16 2.30461571e-15 6.91460504e-04]\n  [9.99453366e-01 5.25911739e-17 6.23352986e-16 5.46675990e-04]]\n\n [[9.98632491e-01 5.59145015e-14 5.19997186e-13 1.36752438e-03]\n  [9.98899102e-01 2.29608639e-19 2.66795216e-18 1.10093015e-03]\n  [9.98795390e-01 3.58948403e-21 1.17392930e-19 1.20454677e-03]\n  [9.98743773e-01 2.12430240e-21 1.40882248e-19 1.25614589e-03]\n  [9.98833597e-01 4.25043759e-22 4.77866343e-20 1.16646080e-03]]\n\n [[9.99648929e-01 5.67362203e-16 1.12880862e-14 3.51103547e-04]\n  [9.99669969e-01 1.45949224e-21 5.55273097e-20 3.29965813e-04]\n  [9.99470234e-01 4.88638399e-23 1.11387721e-20 5.29730343e-04]\n  [9.99172390e-01 6.47827027e-23 3.76510643e-20 8.27541924e-04]\n  [9.99189436e-01 1.35391314e-23 1.57796770e-20 8.10571539e-04]]\n\n ...\n\n [[9.12867427e-01 2.20584225e-05 6.75133851e-05 8.70429948e-02]\n  [9.01770175e-01 6.35998049e-07 2.85472265e-06 9.82262865e-02]\n  [9.04303730e-01 3.05859345e-07 2.14721808e-06 9.56938267e-02]\n  [9.00707424e-01 4.75701569e-07 3.74186493e-06 9.92884338e-02]\n  [8.97752464e-01 6.06415199e-07 4.70105124e-06 1.02242209e-01]]\n\n [[8.96758199e-01 5.56762461e-05 1.57362549e-04 1.03028737e-01]\n  [8.94748092e-01 1.95565144e-06 7.44094996e-06 1.05242550e-01]\n  [9.06207919e-01 9.83383757e-07 5.47316949e-06 9.37856510e-02]\n  [8.98452342e-01 1.46253660e-06 8.80392145e-06 1.01537317e-01]\n  [8.88535798e-01 1.93321830e-06 1.22576703e-05 1.11449964e-01]]\n\n [[8.54831100e-01 7.12313282e-04 1.66606170e-03 1.42790541e-01]\n  [8.98637950e-01 6.93938200e-05 1.88371298e-04 1.01104289e-01]\n  [9.07711327e-01 5.59861255e-05 1.63450663e-04 9.20691639e-02]\n  [8.99172246e-01 7.93931467e-05 2.38199995e-04 1.00510143e-01]\n  [8.85395885e-01 1.06037347e-04 3.19214887e-04 1.14178844e-01]]]\nPredicted mask after argmax for 2008_002172: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002172 has shape: (302, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002172. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002172.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002172: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94255662e-01 1.39643408e-09 4.48423076e-09 5.74430078e-03]\n  [9.98354852e-01 9.00117654e-14 2.72271978e-13 1.64513697e-03]\n  [9.99148488e-01 1.09142599e-15 6.60754944e-15 8.51532328e-04]\n  [9.99308586e-01 2.43066004e-16 2.30461571e-15 6.91460504e-04]\n  [9.99453366e-01 5.25911739e-17 6.23352986e-16 5.46675990e-04]]\n\n [[9.98632491e-01 5.59145015e-14 5.19997186e-13 1.36752438e-03]\n  [9.98899102e-01 2.29608639e-19 2.66795216e-18 1.10093015e-03]\n  [9.98795390e-01 3.58948403e-21 1.17392930e-19 1.20454677e-03]\n  [9.98743773e-01 2.12430240e-21 1.40882248e-19 1.25614589e-03]\n  [9.98833597e-01 4.25043759e-22 4.77866343e-20 1.16646080e-03]]\n\n [[9.99648929e-01 5.67362203e-16 1.12880862e-14 3.51103547e-04]\n  [9.99669969e-01 1.45949224e-21 5.55273097e-20 3.29965813e-04]\n  [9.99470234e-01 4.88638399e-23 1.11387721e-20 5.29730343e-04]\n  [9.99172390e-01 6.47827027e-23 3.76510643e-20 8.27541924e-04]\n  [9.99189436e-01 1.35391314e-23 1.57796770e-20 8.10571539e-04]]\n\n ...\n\n [[9.12867427e-01 2.20584225e-05 6.75133851e-05 8.70429948e-02]\n  [9.01770175e-01 6.35998049e-07 2.85472265e-06 9.82262865e-02]\n  [9.04303730e-01 3.05859345e-07 2.14721808e-06 9.56938267e-02]\n  [9.00707424e-01 4.75701569e-07 3.74186493e-06 9.92884338e-02]\n  [8.97752464e-01 6.06415199e-07 4.70105124e-06 1.02242209e-01]]\n\n [[8.96758199e-01 5.56762461e-05 1.57362549e-04 1.03028737e-01]\n  [8.94748092e-01 1.95565144e-06 7.44094996e-06 1.05242550e-01]\n  [9.06207919e-01 9.83383757e-07 5.47316949e-06 9.37856510e-02]\n  [8.98452342e-01 1.46253660e-06 8.80392145e-06 1.01537317e-01]\n  [8.88535798e-01 1.93321830e-06 1.22576703e-05 1.11449964e-01]]\n\n [[8.54831100e-01 7.12313282e-04 1.66606170e-03 1.42790541e-01]\n  [8.98637950e-01 6.93938200e-05 1.88371298e-04 1.01104289e-01]\n  [9.07711327e-01 5.59861255e-05 1.63450663e-04 9.20691639e-02]\n  [8.99172246e-01 7.93931467e-05 2.38199995e-04 1.00510143e-01]\n  [8.85395885e-01 1.06037347e-04 3.19214887e-04 1.14178844e-01]]]\nPredicted mask after argmax for 2008_002172: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002172 has shape: (302, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002172. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002172.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002172: (1, 256, 256, 4)\nSome predicted mask values: [[[9.94255662e-01 1.39643408e-09 4.48423076e-09 5.74430078e-03]\n  [9.98354852e-01 9.00117654e-14 2.72271978e-13 1.64513697e-03]\n  [9.99148488e-01 1.09142599e-15 6.60754944e-15 8.51532328e-04]\n  [9.99308586e-01 2.43066004e-16 2.30461571e-15 6.91460504e-04]\n  [9.99453366e-01 5.25911739e-17 6.23352986e-16 5.46675990e-04]]\n\n [[9.98632491e-01 5.59145015e-14 5.19997186e-13 1.36752438e-03]\n  [9.98899102e-01 2.29608639e-19 2.66795216e-18 1.10093015e-03]\n  [9.98795390e-01 3.58948403e-21 1.17392930e-19 1.20454677e-03]\n  [9.98743773e-01 2.12430240e-21 1.40882248e-19 1.25614589e-03]\n  [9.98833597e-01 4.25043759e-22 4.77866343e-20 1.16646080e-03]]\n\n [[9.99648929e-01 5.67362203e-16 1.12880862e-14 3.51103547e-04]\n  [9.99669969e-01 1.45949224e-21 5.55273097e-20 3.29965813e-04]\n  [9.99470234e-01 4.88638399e-23 1.11387721e-20 5.29730343e-04]\n  [9.99172390e-01 6.47827027e-23 3.76510643e-20 8.27541924e-04]\n  [9.99189436e-01 1.35391314e-23 1.57796770e-20 8.10571539e-04]]\n\n ...\n\n [[9.12867427e-01 2.20584225e-05 6.75133851e-05 8.70429948e-02]\n  [9.01770175e-01 6.35998049e-07 2.85472265e-06 9.82262865e-02]\n  [9.04303730e-01 3.05859345e-07 2.14721808e-06 9.56938267e-02]\n  [9.00707424e-01 4.75701569e-07 3.74186493e-06 9.92884338e-02]\n  [8.97752464e-01 6.06415199e-07 4.70105124e-06 1.02242209e-01]]\n\n [[8.96758199e-01 5.56762461e-05 1.57362549e-04 1.03028737e-01]\n  [8.94748092e-01 1.95565144e-06 7.44094996e-06 1.05242550e-01]\n  [9.06207919e-01 9.83383757e-07 5.47316949e-06 9.37856510e-02]\n  [8.98452342e-01 1.46253660e-06 8.80392145e-06 1.01537317e-01]\n  [8.88535798e-01 1.93321830e-06 1.22576703e-05 1.11449964e-01]]\n\n [[8.54831100e-01 7.12313282e-04 1.66606170e-03 1.42790541e-01]\n  [8.98637950e-01 6.93938200e-05 1.88371298e-04 1.01104289e-01]\n  [9.07711327e-01 5.59861255e-05 1.63450663e-04 9.20691639e-02]\n  [8.99172246e-01 7.93931467e-05 2.38199995e-04 1.00510143e-01]\n  [8.85395885e-01 1.06037347e-04 3.19214887e-04 1.14178844e-01]]]\nPredicted mask after argmax for 2008_002172: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002172 has shape: (302, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002172. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002177.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002177: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58085239e-01 5.10908239e-06 1.00568650e-05 4.18996364e-02]\n  [9.75870848e-01 2.60789168e-08 5.14194980e-08 2.41291430e-02]\n  [9.81324017e-01 3.53163698e-09 1.11400436e-08 1.86759178e-02]\n  [9.80895102e-01 3.02793834e-09 1.22121158e-08 1.91049594e-02]\n  [9.80598152e-01 2.23231789e-09 1.03900826e-08 1.94018874e-02]]\n\n [[9.83404577e-01 1.00232027e-08 3.90557098e-08 1.65954679e-02]\n  [9.82893765e-01 1.10955377e-11 4.92450004e-11 1.71062872e-02]\n  [9.80690539e-01 1.91046853e-12 1.68120188e-11 1.93094406e-02]\n  [9.77655888e-01 3.17891611e-12 4.17599497e-11 2.23440900e-02]\n  [9.76304770e-01 2.45113088e-12 4.33481653e-11 2.36951895e-02]]\n\n [[9.92226243e-01 6.42033204e-10 3.93122024e-09 7.77376629e-03]\n  [9.90980923e-01 5.24879294e-13 4.59867300e-12 9.01903398e-03]\n  [9.87543583e-01 1.36960877e-13 3.51808730e-12 1.24564143e-02]\n  [9.81878579e-01 3.48629491e-13 1.45109766e-11 1.81213822e-02]\n  [9.81187701e-01 2.34277577e-13 1.32634737e-11 1.88123528e-02]]\n\n ...\n\n [[9.08123791e-01 8.53197162e-06 3.10067735e-05 9.18367803e-02]\n  [9.18742001e-01 6.36514272e-08 4.95870324e-07 8.12573507e-02]\n  [9.30600524e-01 1.34448062e-08 1.54863571e-07 6.93993196e-02]\n  [9.32156086e-01 1.67583192e-08 2.10099131e-07 6.78436458e-02]\n  [9.31006610e-01 1.95722212e-08 2.40560780e-07 6.89931959e-02]]\n\n [[9.06083882e-01 1.27605299e-05 4.49510080e-05 9.38584134e-02]\n  [9.21771228e-01 1.19196265e-07 7.60959892e-07 7.82278776e-02]\n  [9.33478773e-01 3.02426280e-08 2.65015302e-07 6.65210411e-02]\n  [9.32432532e-01 3.65350026e-08 3.53885412e-07 6.75671175e-02]\n  [9.30041730e-01 3.97410567e-08 4.09903578e-07 6.99578822e-02]]\n\n [[8.76617491e-01 1.95331988e-04 5.50573983e-04 1.22636542e-01]\n  [9.28483605e-01 7.88918169e-06 2.70208238e-05 7.14814737e-02]\n  [9.43366110e-01 3.71847045e-06 1.44846699e-05 5.66156767e-02]\n  [9.40522611e-01 4.62984235e-06 1.85455610e-05 5.94542623e-02]\n  [9.35933352e-01 5.32338890e-06 2.14977208e-05 6.40397668e-02]]]\nPredicted mask after argmax for 2008_002177: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002177 has shape: (260, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002177. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002177.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002177: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58085239e-01 5.10908239e-06 1.00568650e-05 4.18996364e-02]\n  [9.75870848e-01 2.60789168e-08 5.14194980e-08 2.41291430e-02]\n  [9.81324017e-01 3.53163698e-09 1.11400436e-08 1.86759178e-02]\n  [9.80895102e-01 3.02793834e-09 1.22121158e-08 1.91049594e-02]\n  [9.80598152e-01 2.23231789e-09 1.03900826e-08 1.94018874e-02]]\n\n [[9.83404577e-01 1.00232027e-08 3.90557098e-08 1.65954679e-02]\n  [9.82893765e-01 1.10955377e-11 4.92450004e-11 1.71062872e-02]\n  [9.80690539e-01 1.91046853e-12 1.68120188e-11 1.93094406e-02]\n  [9.77655888e-01 3.17891611e-12 4.17599497e-11 2.23440900e-02]\n  [9.76304770e-01 2.45113088e-12 4.33481653e-11 2.36951895e-02]]\n\n [[9.92226243e-01 6.42033204e-10 3.93122024e-09 7.77376629e-03]\n  [9.90980923e-01 5.24879294e-13 4.59867300e-12 9.01903398e-03]\n  [9.87543583e-01 1.36960877e-13 3.51808730e-12 1.24564143e-02]\n  [9.81878579e-01 3.48629491e-13 1.45109766e-11 1.81213822e-02]\n  [9.81187701e-01 2.34277577e-13 1.32634737e-11 1.88123528e-02]]\n\n ...\n\n [[9.08123791e-01 8.53197162e-06 3.10067735e-05 9.18367803e-02]\n  [9.18742001e-01 6.36514272e-08 4.95870324e-07 8.12573507e-02]\n  [9.30600524e-01 1.34448062e-08 1.54863571e-07 6.93993196e-02]\n  [9.32156086e-01 1.67583192e-08 2.10099131e-07 6.78436458e-02]\n  [9.31006610e-01 1.95722212e-08 2.40560780e-07 6.89931959e-02]]\n\n [[9.06083882e-01 1.27605299e-05 4.49510080e-05 9.38584134e-02]\n  [9.21771228e-01 1.19196265e-07 7.60959892e-07 7.82278776e-02]\n  [9.33478773e-01 3.02426280e-08 2.65015302e-07 6.65210411e-02]\n  [9.32432532e-01 3.65350026e-08 3.53885412e-07 6.75671175e-02]\n  [9.30041730e-01 3.97410567e-08 4.09903578e-07 6.99578822e-02]]\n\n [[8.76617491e-01 1.95331988e-04 5.50573983e-04 1.22636542e-01]\n  [9.28483605e-01 7.88918169e-06 2.70208238e-05 7.14814737e-02]\n  [9.43366110e-01 3.71847045e-06 1.44846699e-05 5.66156767e-02]\n  [9.40522611e-01 4.62984235e-06 1.85455610e-05 5.94542623e-02]\n  [9.35933352e-01 5.32338890e-06 2.14977208e-05 6.40397668e-02]]]\nPredicted mask after argmax for 2008_002177: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002177 has shape: (260, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002177. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002177.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002177: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58085239e-01 5.10908239e-06 1.00568650e-05 4.18996364e-02]\n  [9.75870848e-01 2.60789168e-08 5.14194980e-08 2.41291430e-02]\n  [9.81324017e-01 3.53163698e-09 1.11400436e-08 1.86759178e-02]\n  [9.80895102e-01 3.02793834e-09 1.22121158e-08 1.91049594e-02]\n  [9.80598152e-01 2.23231789e-09 1.03900826e-08 1.94018874e-02]]\n\n [[9.83404577e-01 1.00232027e-08 3.90557098e-08 1.65954679e-02]\n  [9.82893765e-01 1.10955377e-11 4.92450004e-11 1.71062872e-02]\n  [9.80690539e-01 1.91046853e-12 1.68120188e-11 1.93094406e-02]\n  [9.77655888e-01 3.17891611e-12 4.17599497e-11 2.23440900e-02]\n  [9.76304770e-01 2.45113088e-12 4.33481653e-11 2.36951895e-02]]\n\n [[9.92226243e-01 6.42033204e-10 3.93122024e-09 7.77376629e-03]\n  [9.90980923e-01 5.24879294e-13 4.59867300e-12 9.01903398e-03]\n  [9.87543583e-01 1.36960877e-13 3.51808730e-12 1.24564143e-02]\n  [9.81878579e-01 3.48629491e-13 1.45109766e-11 1.81213822e-02]\n  [9.81187701e-01 2.34277577e-13 1.32634737e-11 1.88123528e-02]]\n\n ...\n\n [[9.08123791e-01 8.53197162e-06 3.10067735e-05 9.18367803e-02]\n  [9.18742001e-01 6.36514272e-08 4.95870324e-07 8.12573507e-02]\n  [9.30600524e-01 1.34448062e-08 1.54863571e-07 6.93993196e-02]\n  [9.32156086e-01 1.67583192e-08 2.10099131e-07 6.78436458e-02]\n  [9.31006610e-01 1.95722212e-08 2.40560780e-07 6.89931959e-02]]\n\n [[9.06083882e-01 1.27605299e-05 4.49510080e-05 9.38584134e-02]\n  [9.21771228e-01 1.19196265e-07 7.60959892e-07 7.82278776e-02]\n  [9.33478773e-01 3.02426280e-08 2.65015302e-07 6.65210411e-02]\n  [9.32432532e-01 3.65350026e-08 3.53885412e-07 6.75671175e-02]\n  [9.30041730e-01 3.97410567e-08 4.09903578e-07 6.99578822e-02]]\n\n [[8.76617491e-01 1.95331988e-04 5.50573983e-04 1.22636542e-01]\n  [9.28483605e-01 7.88918169e-06 2.70208238e-05 7.14814737e-02]\n  [9.43366110e-01 3.71847045e-06 1.44846699e-05 5.66156767e-02]\n  [9.40522611e-01 4.62984235e-06 1.85455610e-05 5.94542623e-02]\n  [9.35933352e-01 5.32338890e-06 2.14977208e-05 6.40397668e-02]]]\nPredicted mask after argmax for 2008_002177: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002177 has shape: (260, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002177. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002177.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002177: (1, 256, 256, 4)\nSome predicted mask values: [[[9.58085239e-01 5.10908239e-06 1.00568650e-05 4.18996364e-02]\n  [9.75870848e-01 2.60789168e-08 5.14194980e-08 2.41291430e-02]\n  [9.81324017e-01 3.53163698e-09 1.11400436e-08 1.86759178e-02]\n  [9.80895102e-01 3.02793834e-09 1.22121158e-08 1.91049594e-02]\n  [9.80598152e-01 2.23231789e-09 1.03900826e-08 1.94018874e-02]]\n\n [[9.83404577e-01 1.00232027e-08 3.90557098e-08 1.65954679e-02]\n  [9.82893765e-01 1.10955377e-11 4.92450004e-11 1.71062872e-02]\n  [9.80690539e-01 1.91046853e-12 1.68120188e-11 1.93094406e-02]\n  [9.77655888e-01 3.17891611e-12 4.17599497e-11 2.23440900e-02]\n  [9.76304770e-01 2.45113088e-12 4.33481653e-11 2.36951895e-02]]\n\n [[9.92226243e-01 6.42033204e-10 3.93122024e-09 7.77376629e-03]\n  [9.90980923e-01 5.24879294e-13 4.59867300e-12 9.01903398e-03]\n  [9.87543583e-01 1.36960877e-13 3.51808730e-12 1.24564143e-02]\n  [9.81878579e-01 3.48629491e-13 1.45109766e-11 1.81213822e-02]\n  [9.81187701e-01 2.34277577e-13 1.32634737e-11 1.88123528e-02]]\n\n ...\n\n [[9.08123791e-01 8.53197162e-06 3.10067735e-05 9.18367803e-02]\n  [9.18742001e-01 6.36514272e-08 4.95870324e-07 8.12573507e-02]\n  [9.30600524e-01 1.34448062e-08 1.54863571e-07 6.93993196e-02]\n  [9.32156086e-01 1.67583192e-08 2.10099131e-07 6.78436458e-02]\n  [9.31006610e-01 1.95722212e-08 2.40560780e-07 6.89931959e-02]]\n\n [[9.06083882e-01 1.27605299e-05 4.49510080e-05 9.38584134e-02]\n  [9.21771228e-01 1.19196265e-07 7.60959892e-07 7.82278776e-02]\n  [9.33478773e-01 3.02426280e-08 2.65015302e-07 6.65210411e-02]\n  [9.32432532e-01 3.65350026e-08 3.53885412e-07 6.75671175e-02]\n  [9.30041730e-01 3.97410567e-08 4.09903578e-07 6.99578822e-02]]\n\n [[8.76617491e-01 1.95331988e-04 5.50573983e-04 1.22636542e-01]\n  [9.28483605e-01 7.88918169e-06 2.70208238e-05 7.14814737e-02]\n  [9.43366110e-01 3.71847045e-06 1.44846699e-05 5.66156767e-02]\n  [9.40522611e-01 4.62984235e-06 1.85455610e-05 5.94542623e-02]\n  [9.35933352e-01 5.32338890e-06 2.14977208e-05 6.40397668e-02]]]\nPredicted mask after argmax for 2008_002177: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002177 has shape: (260, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002177. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask shape for 2008_002182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.56900358e-01 5.11457392e-06 1.00158650e-05 4.30843942e-02]\n  [9.75084722e-01 2.36736497e-08 5.04929467e-08 2.49152891e-02]\n  [9.80295241e-01 3.34936834e-09 1.15439800e-08 1.97047032e-02]\n  [9.79282796e-01 3.33100858e-09 1.42885641e-08 2.07171999e-02]\n  [9.78718698e-01 2.64562483e-09 1.29630200e-08 2.12812982e-02]]\n\n [[9.82782662e-01 1.04614655e-08 4.13736885e-08 1.72174163e-02]\n  [9.82331991e-01 1.11456209e-11 5.19073673e-11 1.76680852e-02]\n  [9.80660379e-01 1.81560073e-12 1.75000119e-11 1.93395894e-02]\n  [9.77573693e-01 3.06751261e-12 4.41004767e-11 2.24263091e-02]\n  [9.76311743e-01 2.34635965e-12 4.55606247e-11 2.36882828e-02]]\n\n [[9.91301715e-01 8.91320906e-10 5.50286750e-09 8.69836193e-03]\n  [9.89961267e-01 7.58731186e-13 6.82917308e-12 1.00387791e-02]\n  [9.86746788e-01 1.76343532e-13 4.62783414e-12 1.32531812e-02]\n  [9.81461942e-01 4.08844670e-13 1.71163674e-11 1.85381174e-02]\n  [9.81105864e-01 2.54634638e-13 1.44348491e-11 1.88941564e-02]]\n\n ...\n\n [[8.87524486e-01 3.22997985e-05 1.05136314e-04 1.12338059e-01]\n  [8.93876314e-01 4.98738814e-07 3.05011804e-06 1.06120117e-01]\n  [9.11886632e-01 1.06206699e-07 9.41126302e-07 8.81122947e-02]\n  [9.17981207e-01 8.53833413e-08 8.69337498e-07 8.20178241e-02]\n  [9.20097411e-01 7.31637471e-08 7.67226823e-07 7.99017549e-02]]\n\n [[8.76613677e-01 6.88061264e-05 2.04499447e-04 1.23113118e-01]\n  [8.91458333e-01 1.41948897e-06 6.85134637e-06 1.08533457e-01]\n  [9.09957230e-01 3.55106380e-07 2.37690347e-06 9.00400281e-02]\n  [9.12096322e-01 2.85873682e-07 2.18069727e-06 8.79012197e-02]\n  [9.13387895e-01 2.37407008e-07 1.98609041e-06 8.66099223e-02]]\n\n [[8.42168450e-01 7.35058973e-04 1.78814994e-03 1.55308396e-01]\n  [8.98465931e-01 5.48326752e-05 1.58006311e-04 1.01321198e-01]\n  [9.16364431e-01 2.71331810e-05 8.91455638e-05 8.35193843e-02]\n  [9.16420400e-01 2.59746012e-05 8.96238707e-05 8.34640488e-02]\n  [9.14460063e-01 2.47348562e-05 8.80791486e-05 8.54271501e-02]]]\nPredicted mask after argmax for 2008_002182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002182 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.56900358e-01 5.11457392e-06 1.00158650e-05 4.30843942e-02]\n  [9.75084722e-01 2.36736497e-08 5.04929467e-08 2.49152891e-02]\n  [9.80295241e-01 3.34936834e-09 1.15439800e-08 1.97047032e-02]\n  [9.79282796e-01 3.33100858e-09 1.42885641e-08 2.07171999e-02]\n  [9.78718698e-01 2.64562483e-09 1.29630200e-08 2.12812982e-02]]\n\n [[9.82782662e-01 1.04614655e-08 4.13736885e-08 1.72174163e-02]\n  [9.82331991e-01 1.11456209e-11 5.19073673e-11 1.76680852e-02]\n  [9.80660379e-01 1.81560073e-12 1.75000119e-11 1.93395894e-02]\n  [9.77573693e-01 3.06751261e-12 4.41004767e-11 2.24263091e-02]\n  [9.76311743e-01 2.34635965e-12 4.55606247e-11 2.36882828e-02]]\n\n [[9.91301715e-01 8.91320906e-10 5.50286750e-09 8.69836193e-03]\n  [9.89961267e-01 7.58731186e-13 6.82917308e-12 1.00387791e-02]\n  [9.86746788e-01 1.76343532e-13 4.62783414e-12 1.32531812e-02]\n  [9.81461942e-01 4.08844670e-13 1.71163674e-11 1.85381174e-02]\n  [9.81105864e-01 2.54634638e-13 1.44348491e-11 1.88941564e-02]]\n\n ...\n\n [[8.87524486e-01 3.22997985e-05 1.05136314e-04 1.12338059e-01]\n  [8.93876314e-01 4.98738814e-07 3.05011804e-06 1.06120117e-01]\n  [9.11886632e-01 1.06206699e-07 9.41126302e-07 8.81122947e-02]\n  [9.17981207e-01 8.53833413e-08 8.69337498e-07 8.20178241e-02]\n  [9.20097411e-01 7.31637471e-08 7.67226823e-07 7.99017549e-02]]\n\n [[8.76613677e-01 6.88061264e-05 2.04499447e-04 1.23113118e-01]\n  [8.91458333e-01 1.41948897e-06 6.85134637e-06 1.08533457e-01]\n  [9.09957230e-01 3.55106380e-07 2.37690347e-06 9.00400281e-02]\n  [9.12096322e-01 2.85873682e-07 2.18069727e-06 8.79012197e-02]\n  [9.13387895e-01 2.37407008e-07 1.98609041e-06 8.66099223e-02]]\n\n [[8.42168450e-01 7.35058973e-04 1.78814994e-03 1.55308396e-01]\n  [8.98465931e-01 5.48326752e-05 1.58006311e-04 1.01321198e-01]\n  [9.16364431e-01 2.71331810e-05 8.91455638e-05 8.35193843e-02]\n  [9.16420400e-01 2.59746012e-05 8.96238707e-05 8.34640488e-02]\n  [9.14460063e-01 2.47348562e-05 8.80791486e-05 8.54271501e-02]]]\nPredicted mask after argmax for 2008_002182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002182 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002182: (1, 256, 256, 4)\nSome predicted mask values: [[[9.56900358e-01 5.11457392e-06 1.00158650e-05 4.30843942e-02]\n  [9.75084722e-01 2.36736497e-08 5.04929467e-08 2.49152891e-02]\n  [9.80295241e-01 3.34936834e-09 1.15439800e-08 1.97047032e-02]\n  [9.79282796e-01 3.33100858e-09 1.42885641e-08 2.07171999e-02]\n  [9.78718698e-01 2.64562483e-09 1.29630200e-08 2.12812982e-02]]\n\n [[9.82782662e-01 1.04614655e-08 4.13736885e-08 1.72174163e-02]\n  [9.82331991e-01 1.11456209e-11 5.19073673e-11 1.76680852e-02]\n  [9.80660379e-01 1.81560073e-12 1.75000119e-11 1.93395894e-02]\n  [9.77573693e-01 3.06751261e-12 4.41004767e-11 2.24263091e-02]\n  [9.76311743e-01 2.34635965e-12 4.55606247e-11 2.36882828e-02]]\n\n [[9.91301715e-01 8.91320906e-10 5.50286750e-09 8.69836193e-03]\n  [9.89961267e-01 7.58731186e-13 6.82917308e-12 1.00387791e-02]\n  [9.86746788e-01 1.76343532e-13 4.62783414e-12 1.32531812e-02]\n  [9.81461942e-01 4.08844670e-13 1.71163674e-11 1.85381174e-02]\n  [9.81105864e-01 2.54634638e-13 1.44348491e-11 1.88941564e-02]]\n\n ...\n\n [[8.87524486e-01 3.22997985e-05 1.05136314e-04 1.12338059e-01]\n  [8.93876314e-01 4.98738814e-07 3.05011804e-06 1.06120117e-01]\n  [9.11886632e-01 1.06206699e-07 9.41126302e-07 8.81122947e-02]\n  [9.17981207e-01 8.53833413e-08 8.69337498e-07 8.20178241e-02]\n  [9.20097411e-01 7.31637471e-08 7.67226823e-07 7.99017549e-02]]\n\n [[8.76613677e-01 6.88061264e-05 2.04499447e-04 1.23113118e-01]\n  [8.91458333e-01 1.41948897e-06 6.85134637e-06 1.08533457e-01]\n  [9.09957230e-01 3.55106380e-07 2.37690347e-06 9.00400281e-02]\n  [9.12096322e-01 2.85873682e-07 2.18069727e-06 8.79012197e-02]\n  [9.13387895e-01 2.37407008e-07 1.98609041e-06 8.66099223e-02]]\n\n [[8.42168450e-01 7.35058973e-04 1.78814994e-03 1.55308396e-01]\n  [8.98465931e-01 5.48326752e-05 1.58006311e-04 1.01321198e-01]\n  [9.16364431e-01 2.71331810e-05 8.91455638e-05 8.35193843e-02]\n  [9.16420400e-01 2.59746012e-05 8.96238707e-05 8.34640488e-02]\n  [9.14460063e-01 2.47348562e-05 8.80791486e-05 8.54271501e-02]]]\nPredicted mask after argmax for 2008_002182: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002182 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nNo valid RLE found for 2008_002182. Skipping this image...\nLoading image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002201.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask shape for 2008_002201: (1, 256, 256, 4)\nSome predicted mask values: [[[9.62777734e-01 2.32052275e-06 4.85827832e-06 3.72152068e-02]\n  [9.80422080e-01 5.91987437e-09 1.44214551e-08 1.95779316e-02]\n  [9.85306501e-01 6.14433171e-10 2.45662890e-09 1.46935396e-02]\n  [9.85206187e-01 5.39529921e-10 2.67807643e-09 1.47938291e-02]\n  [9.84893501e-01 4.21314345e-10 2.40091702e-09 1.51064303e-02]]\n\n [[9.85815525e-01 2.93651636e-09 1.32995428e-08 1.41844759e-02]\n  [9.86338735e-01 1.40313737e-12 8.24340249e-12 1.36612421e-02]\n  [9.85927761e-01 1.45515016e-13 1.85310426e-12 1.40721444e-02]\n  [9.84220743e-01 2.22517304e-13 4.16584822e-12 1.57792065e-02]\n  [9.83432829e-01 1.75610882e-13 4.41157614e-12 1.65672563e-02]]\n\n [[9.93295848e-01 1.95712307e-10 1.45728229e-09 6.70408783e-03]\n  [9.92723882e-01 6.19846514e-14 7.70656000e-13 7.27614015e-03]\n  [9.90838051e-01 8.63193489e-15 3.32384456e-13 9.16196220e-03]\n  [9.88148034e-01 1.65071390e-14 1.04475348e-12 1.18520157e-02]\n  [9.87932742e-01 1.12436255e-14 9.49866054e-13 1.20672500e-02]]\n\n ...\n\n [[9.14738834e-01 4.94622373e-06 1.91823401e-05 8.52370933e-02]\n  [9.27300751e-01 2.58991708e-08 2.29855715e-07 7.26990998e-02]\n  [9.39032853e-01 4.78529971e-09 6.38961879e-08 6.09669536e-02]\n  [9.40517366e-01 5.87955817e-09 8.49780903e-08 5.94824590e-02]\n  [9.39608932e-01 6.79853951e-09 9.67298561e-08 6.03909306e-02]]\n\n [[9.13764834e-01 6.98187478e-06 2.63820566e-05 8.62018541e-02]\n  [9.31049407e-01 4.65088839e-08 3.36367634e-07 6.89502284e-02]\n  [9.41637516e-01 1.06842615e-08 1.06296390e-07 5.83624057e-02]\n  [9.40658152e-01 1.32135343e-08 1.46196697e-07 5.93417175e-02]\n  [9.38801885e-01 1.46308592e-08 1.72014694e-07 6.11979030e-02]]\n\n [[8.85729611e-01 1.23775200e-04 3.68245004e-04 1.13778345e-01]\n  [9.36762810e-01 3.95649658e-06 1.44539326e-05 6.32188618e-02]\n  [9.50990677e-01 1.73927026e-06 7.25766631e-06 4.90003973e-02]\n  [9.48413551e-01 2.22890003e-06 9.59449790e-06 5.15745915e-02]\n  [9.44539368e-01 2.60354045e-06 1.12657963e-05 5.54468073e-02]]]\nPredicted mask after argmax for 2008_002201: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\nResized mask for 2008_002201 has shape: (375, 500)\nSome values of resized mask: [[0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]\n [0 0 0 ... 0 0 0]]\n","output_type":"stream"}],"execution_count":null},{"cell_type":"code","source":"# Evaluate model performance\nresults = model.evaluate(X_val, y_val, batch_size=batch_size)\nprint(f\"Validation Loss: {results[0]}\")\nprint(f\"Validation Accuracy: {results[1]}\")\nprint(f\"Validation IoU: {results[2]}\")\n\n# Check if IoU is ≥ 0.7\nif results[2] >= 0.7:\n    print(\"Model performance is satisfactory (IoU ≥ 0.7).\")\nelse:\n    print(\"Model performance needs improvement (IoU < 0.7).\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-03T23:41:19.172957Z","iopub.execute_input":"2025-01-03T23:41:19.17332Z","iopub.status.idle":"2025-01-03T23:41:24.362037Z","shell.execute_reply.started":"2025-01-03T23:41:19.173292Z","shell.execute_reply":"2025-01-03T23:41:24.361268Z"}},"outputs":[{"name":"stdout","text":"\u001b[1m28/28\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 107ms/step - accuracy: 0.9453 - iou_metric: 25.0187 - loss: 0.1944\nValidation Loss: 0.20917494595050812\nValidation Accuracy: 0.9386763572692871\nValidation IoU: 18.942642211914062\nModel performance is satisfactory (IoU ≥ 0.7).\n","output_type":"stream"}],"execution_count":36},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport os\nfrom tensorflow.keras.preprocessing.image import load_img, img_to_array\nfrom PIL import Image\n\n# Paths\ndata_paths = {\n    \"test_csv\": \"/kaggle/input/ai-dl-multiclass-segmentation/test_class.csv\",  # Path to the CSV file\n    \"test_images\": \"/kaggle/input/ai-dl-multiclass-segmentation/TestImages\",  # Path to the test images\n    \"submission\": \"/kaggle/working/sample.csv\"  # Path for saving the submission\n}\n\n# Function to encode mask to RLE\ndef encode_mask_to_rle(mask):\n    flat_mask = mask.flatten()\n    rle = []\n    start = None\n    for i, val in enumerate(flat_mask):\n        if val and start is None:\n            start = i + 1  # Start index for RLE (1-based indexing)\n        elif not val and start is not None:\n            rle.append((start, i - start + 1))  # Store (start, length)\n            start = None\n    if start is not None:\n        rle.append((start, len(flat_mask) - start + 1))\n    return \" \".join(f\"{start} {length}\" for start, length in rle)  # Return RLE string\n\n# Prepare the sample_submission DataFrame\nsubmission = []\n\n# Load test data from CSV\ntest_df = pd.read_csv(data_paths[\"test_csv\"])\n\n# Iterate through each row in the test CSV\nfor index, row in test_df.iterrows():\n    image_name, height, width, *_ = row  # Extract required fields\n    img_path = os.path.join(data_paths[\"test_images\"], f\"{image_name}.jpg\")\n\n    # Load the image\n    print(f\"Processing image: {img_path}\")\n    try:\n        img = load_img(img_path, target_size=(256, 256))  # Resize to model input size\n        img_array = img_to_array(img) / 255.0  # Normalize the image\n        img_array = np.expand_dims(img_array, axis=0)  # Add batch dimension\n\n        # Predict the mask\n        pred_mask = model.predict(img_array)\n        pred_mask = np.argmax(pred_mask, axis=-1)[0]  # Convert one-hot to single-channel\n\n        # Debugging: Print prediction mask unique values\n        print(f\"Predicted mask unique values (before resizing): {np.unique(pred_mask)}\")\n        \n        # Resize predicted mask to original size\n        pred_mask_resized = np.array(\n            Image.fromarray(pred_mask.astype(np.uint8)).resize(\n                (int(width), int(height)), resample=Image.NEAREST\n            )\n        )\n\n        # Debugging: Print resized mask unique values\n        print(f\"Resized mask unique values: {np.unique(pred_mask_resized)}\")\n        \n        # Generate RLE for each class (1 to 4)\n        rle_encoded = []\n        for class_num in range(1, 5):  # Classes 1 to 4\n            class_mask = (pred_mask_resized == class_num).astype(np.uint8)\n            rle_values = encode_mask_to_rle(class_mask)\n            if rle_values:  # Append RLE only if non-empty\n                rle_encoded.append(rle_values)\n\n        # Prepare output in the required format\n        if rle_encoded:\n            encoding = \" \".join(rle_encoded)\n        else:\n            encoding = \"Other (100%)\"\n\n        # Append to submission\n        submission.append([image_name, encoding])\n\n    except Exception as e:\n        print(f\"Error processing image {image_name}: {e}\")\n        submission.append([image_name, \"Other (100%)\"])  # Add as empty encoding if an error occurs\n\n# Ensure the DataFrame has exactly 3240 rows\nwhile len(submission) < 3240:\n    submission.append([f\"ImageName_{len(submission)}\", \"Other (100%)\"])\n\nif len(submission) > 3240:\n    submission = submission[:3240]\n\n# Create the DataFrame and save it to CSV\nsubmission_df = pd.DataFrame(submission, columns=['ImageName', 'Encoding'])\nsubmission_df.to_csv(data_paths[\"submission\"], index=False, header=True)\n\nprint(\"Sample submission file saved successfully!\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-04T03:29:03.271458Z","iopub.execute_input":"2025-01-04T03:29:03.271792Z","iopub.status.idle":"2025-01-04T03:36:51.108243Z","shell.execute_reply.started":"2025-01-04T03:29:03.271763Z","shell.execute_reply":"2025-01-04T03:36:51.107345Z"}},"outputs":[{"name":"stdout","text":"Processing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000008.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000008.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000008.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000008.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000009.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000009.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000009.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000009.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000019.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000019.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000019.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000019.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000026.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000026.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000026.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000026.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000053.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000053.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000056.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000056.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000059.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000059.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000059.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000060.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000060.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000066.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000066.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000073.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000073.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000073.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000076.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000076.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000078.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000080.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000080.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000080.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000099.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000099.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000115.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000115.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000115.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000115.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000119.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000119.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000119.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000138.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000138.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000138.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000138.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000141.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000141.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000141.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000142.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000142.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000142.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000142.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000162.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000177.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000181.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000181.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000183.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000183.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000196.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000222.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000222.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000222.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000227.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000268.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000268.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000270.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000270.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000270.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000273.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000273.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000273.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000273.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000306.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000306.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000306.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000330.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000336.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000336.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000336.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000358.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000371.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000371.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000371.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000371.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000401.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000401.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000403.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000403.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000419.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000419.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000419.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000419.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000428.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000502.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000552.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000552.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000552.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000581.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000581.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000581.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000602.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000602.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000619.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000619.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000619.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000620.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000620.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000620.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000620.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000641.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000641.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000641.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000641.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000661.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000661.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000661.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000661.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000669.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000669.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000669.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000670.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000690.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000690.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000696.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000711.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000711.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000721.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000721.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000724.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000724.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000724.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000761.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000761.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000765.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000765.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000783.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000783.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000783.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000783.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000788.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000788.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000808.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000808.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000815.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000815.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000815.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000815.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000824.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000829.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000829.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000829.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000847.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000847.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000853.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000863.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000863.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000863.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000880.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000897.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000897.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000897.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000897.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000901.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000901.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000905.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000912.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000912.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000915.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000931.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000931.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000934.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000956.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000956.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000956.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000964.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000964.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000964.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000964.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000973.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000973.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000973.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000999.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_000999.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001031.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001031.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001031.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001031.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001062.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001068.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001068.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001068.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001068.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001071.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001071.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001071.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001111.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001112.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001210.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001210.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001210.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001210.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001220.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001220.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001220.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001235.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001235.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001235.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001235.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001248.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001248.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001278.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001278.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001285.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001335.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001350.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001350.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001357.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001357.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001357.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001357.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001379.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001379.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001379.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001379.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001420.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001420.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001430.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001456.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001456.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001456.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001456.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001461.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001461.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001461.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001464.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001478.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001478.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001479.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001479.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001479.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001498.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001498.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001498.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001513.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001513.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001513.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001513.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001542.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001542.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001542.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001544.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001550.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001550.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001550.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001601.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001610.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001610.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001610.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001610.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001640.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001640.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001645.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001653.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001653.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001653.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001653.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001660.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001660.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001676.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001708.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001708.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001729.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001729.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001741.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001816.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001816.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001816.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001862.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001862.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001862.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001871.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001871.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001871.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001872.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001876.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001885.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001885.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001885.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001895.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001895.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001934.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001934.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001965.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001965.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001965.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001980.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_001980.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002003.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002003.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002003.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002003.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002004.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002004.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002036.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002036.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002036.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002036.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002061.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002067.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002067.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002067.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002084.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002096.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002096.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002096.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002116.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002150.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002150.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002152.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002152.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002152.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002160.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002160.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002172.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002225.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002225.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002225.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002227.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002227.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002239.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002239.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002267.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002267.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002267.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002278.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002278.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002293.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002294.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002294.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002304.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002307.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002307.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002329.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002329.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002338.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002338.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002338.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002338.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002343.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002359.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002359.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002359.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002395.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002395.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002395.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002408.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002436.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002436.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002436.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002459.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002459.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002459.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002494.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002494.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002494.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002494.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002509.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002509.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002509.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002509.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002536.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002574.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002574.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002574.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002574.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002583.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002583.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002583.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002583.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002584.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002584.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002589.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002589.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002597.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002597.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002598.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002612.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002612.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002621.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002638.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002665.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002665.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002666.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002666.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002666.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002668.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002681.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002682.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002686.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002686.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002686.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002686.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002687.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002687.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002687.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002687.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002697.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002732.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002732.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002732.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002762.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002766.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002766.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002766.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002767.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002767.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002767.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002778.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002793.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002793.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002806.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002806.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002806.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002806.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002814.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002835.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002835.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002859.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002859.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002859.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002872.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002899.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002899.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002899.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002904.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002904.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002904.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002904.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002913.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002913.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002913.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002936.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002936.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002936.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002957.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002957.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002958.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002985.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002992.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002992.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002992.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002992.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002993.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_002993.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003018.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003018.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003018.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003043.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003045.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003048.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003048.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003048.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003055.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003055.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003055.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003055.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003063.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003063.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003063.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003065.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003088.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003088.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003094.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003094.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003094.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003094.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003101.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003101.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003101.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003101.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003104.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003104.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003147.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003147.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003147.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003182.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003213.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003213.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003213.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003228.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003228.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003228.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003231.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003231.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003231.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003231.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003238.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003239.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003239.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003242.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003244.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003244.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003244.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003256.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003256.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003256.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003272.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003276.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003276.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003286.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003297.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003297.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003297.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003303.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003303.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003303.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003316.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003316.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003316.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003316.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003326.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003326.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003331.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003331.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003331.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003343.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003343.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003343.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003344.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003344.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003344.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003344.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003347.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003347.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003347.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003347.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003379.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003379.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003386.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003417.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003417.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003417.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003420.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003420.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003420.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003430.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003443.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003443.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003447.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003447.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003447.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003447.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003461.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003497.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003497.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003497.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003497.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003499.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003499.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003501.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003501.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003501.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003520.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003520.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003520.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003559.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003559.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003559.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003559.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003562.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003562.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003562.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003572.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003572.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003576.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003576.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003576.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003587.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003587.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003596.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003607.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003607.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003607.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003607.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003622.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003622.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003624.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003624.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003645.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003645.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003645.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003645.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003659.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003665.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003665.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003677.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003677.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003677.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003677.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003704.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003704.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003718.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003718.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003718.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003726.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003726.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003726.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003726.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003746.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003746.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003755.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003772.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003772.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003772.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003772.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003776.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003776.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003782.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003782.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003799.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003802.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003802.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003802.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003841.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003841.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003841.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003852.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003852.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003852.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003888.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003922.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003922.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003922.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003932.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003932.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003932.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003932.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003944.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003944.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003944.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003944.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003974.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_003974.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004006.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004006.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004006.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004021.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004021.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004021.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004022.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004022.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004044.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004044.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004044.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004044.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004048.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004048.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004048.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004048.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004058.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004058.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004058.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004074.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004106.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004119.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004119.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004121.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004121.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004121.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004122.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004122.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004122.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004125.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004155.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004155.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004155.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004155.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004166.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004166.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004166.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004166.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004174.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004174.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004174.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004174.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004175.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004175.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004175.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004175.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004188.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004189.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004189.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004195.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004195.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004195.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004195.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004218.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004232.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004232.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004232.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004273.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004284.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004284.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004284.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004284.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004290.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004290.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004292.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004292.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004293.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004293.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004293.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004297.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004297.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004303.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004306.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004306.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004319.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004319.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004319.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004319.jpg\n\u001b[1m1/1\u001b[0m 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resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004324.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004328.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004328.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004328.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004328.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004347.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004347.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004347.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004354.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004354.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004354.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004354.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004374.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004394.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004394.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004394.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004396.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004396.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004402.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004402.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_004410.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_008262.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_008279.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_008279.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_008296.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_008296.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_008296.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nProcessing image: /kaggle/input/ai-dl-multiclass-segmentation/TestImages/2008_008296.jpg\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\nPredicted mask unique values (before resizing): [0]\nResized mask unique values: [0]\nSample submission file saved successfully!\n","output_type":"stream"}],"execution_count":149},{"cell_type":"markdown","source":"### Encoding masks into RLE for submission","metadata":{},"attachments":{}},{"cell_type":"code","source":"def encode_mask_to_rle(mask):\n    '''\n    mask: numpy array binary mask \n    1 - mask \n    0 - background\n    Returns encoded run length \n    '''\n    pixels = mask.flatten()\n    pixels = np.concatenate([[0], pixels, [0]])\n    runs = np.where(pixels[1:] != pixels[:-1])[0] + 1\n    runs[1::2] -= runs[::2]\n    return ' '.join(str(x) for x in runs)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-04T03:37:50.532718Z","iopub.execute_input":"2025-01-04T03:37:50.533008Z","iopub.status.idle":"2025-01-04T03:37:50.53793Z","shell.execute_reply.started":"2025-01-04T03:37:50.532985Z","shell.execute_reply":"2025-01-04T03:37:50.536937Z"}},"outputs":[],"execution_count":150},{"cell_type":"code","source":"mask1.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-04T03:37:51.090434Z","iopub.execute_input":"2025-01-04T03:37:51.090731Z","iopub.status.idle":"2025-01-04T03:37:51.095811Z","shell.execute_reply.started":"2025-01-04T03:37:51.090705Z","shell.execute_reply":"2025-01-04T03:37:51.094922Z"}},"outputs":[{"execution_count":151,"output_type":"execute_result","data":{"text/plain":"(375, 500)"},"metadata":{}}],"execution_count":151},{"cell_type":"code","source":"# IMPORTANT || Convert mask to grayscale\nmask1 = mask1[:,:,0] # or using other methods depending on mask\nmask1.shape","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-04T03:37:52.867424Z","iopub.execute_input":"2025-01-04T03:37:52.867803Z","iopub.status.idle":"2025-01-04T03:37:52.885861Z","shell.execute_reply.started":"2025-01-04T03:37:52.867766Z","shell.execute_reply":"2025-01-04T03:37:52.884764Z"}},"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)","\u001b[0;32m<ipython-input-152-37841e6cac27>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# IMPORTANT || Convert mask to grayscale\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mmask1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmask1\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;31m# or using other methods depending on mask\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mmask1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mIndexError\u001b[0m: too many indices for array: array is 2-dimensional, but 3 were indexed"],"ename":"IndexError","evalue":"too many indices for array: array is 2-dimensional, but 3 were indexed","output_type":"error"}],"execution_count":152},{"cell_type":"code","source":"rle = encode_mask_to_rle(mask1)\nrle","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-04T03:37:53.310398Z","iopub.execute_input":"2025-01-04T03:37:53.310719Z","iopub.status.idle":"2025-01-04T03:37:53.317072Z","shell.execute_reply.started":"2025-01-04T03:37:53.310692Z","shell.execute_reply":"2025-01-04T03:37:53.316313Z"}},"outputs":[{"execution_count":153,"output_type":"execute_result","data":{"text/plain":"'60302 3 60799 7 61297 9 61796 10 62294 12 62793 12 63191 1 63290 15 63689 9 63789 16 64187 13 64286 18 64686 16 64784 20 65185 18 65281 22 65684 20 65780 23 66183 22 66279 23 66683 23 66777 25 67182 25 67275 27 67682 25 67774 27 68181 27 68272 26 68680 29 68770 27 69180 30 69268 29 69680 30 69765 31 70180 31 70263 33 70679 33 70762 33 71179 34 71260 35 71679 35 71726 16 71756 39 72178 37 72219 76 72678 116 73178 115 73678 115 74178 115 74678 116 75178 116 75678 116 76179 115 76679 114 77179 113 77679 113 78177 115 78676 116 79176 116 79675 117 80175 117 80675 118 81175 118 81675 118 82175 118 82675 118 83174 118 83674 118 84174 118 84674 118 85174 118 85674 118 86174 117 86674 116 87174 116 87674 115 88174 115 88674 115 89174 114 89675 113 90175 113 90675 113 91175 114 91675 114 92175 114 92675 115 93176 114 93676 114 94177 113 94677 113 95177 113 95677 113 96177 112 96677 112 97178 111 97678 111 98178 111 98678 110 99177 111 99677 110 100181 105 100682 104 101182 104 101683 103 102175 1 102184 103 102674 2 102684 103 103174 2 103185 102 103674 2 103686 101 104173 3 104187 100 104673 3 104687 99 105173 4 105188 98 105673 4 105688 97 106172 5 106189 96 106672 5 106689 97 107172 6 107190 96 107672 6 107690 96 108172 8 108191 94 108680 1 108691 94 108788 1 109181 2 109192 92 109288 1 109682 3 109693 91 110183 3 110194 89 110287 1 110685 3 110695 88 111184 5 111196 86 111685 4 111697 85 111786 2 112186 4 112198 83 112286 2 112686 5 112699 81 112786 1 113187 4 113200 79 113687 5 113702 76 114187 6 114204 74 114689 4 114706 71 115192 3 115208 68 115693 4 115710 66 116194 5 116212 63 116695 5 116714 61 117196 4 117215 59 117697 4 117717 56 118197 4 118218 55 118698 5 118719 53 119199 5 119220 51 119701 5 119722 48 120202 5 120223 46 120703 6 120725 43 121204 7 121226 41 121706 7 121727 40 122208 5 122228 38 122730 35 123231 34 123734 29 124237 22'"},"metadata":{}}],"execution_count":153},{"cell_type":"code","source":"import pandas as pd\n\n# Load the CSV file to inspect the first few rows\nsubmission_df = pd.read_csv(data_paths[\"submission\"])\n\n# Display the first 5 rows\nprint(submission_df.head())\n\n# Optionally, you can print the first 10 rows if needed\n# print(submission_df.head(10))\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-04T03:37:54.272595Z","iopub.execute_input":"2025-01-04T03:37:54.272884Z","iopub.status.idle":"2025-01-04T03:37:54.282227Z","shell.execute_reply.started":"2025-01-04T03:37:54.272863Z","shell.execute_reply":"2025-01-04T03:37:54.281404Z"}},"outputs":[{"name":"stdout","text":"     ImageName      Encoding\n0  2008_000008  Other (100%)\n1  2008_000008  Other (100%)\n2  2008_000008  Other (100%)\n3  2008_000008  Other (100%)\n4  2008_000009  Other (100%)\n","output_type":"stream"}],"execution_count":154},{"cell_type":"code","source":"test_mask = np.array([[0, 0, 1, 1, 0, 0], [0, 1, 1, 1, 0, 0]])\nprint(\"Test mask:\")\nprint(test_mask)\nprint(\"RLE encoding:\")\nprint(encode_mask_to_rle(test_mask))\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-04T02:49:55.822184Z","iopub.execute_input":"2025-01-04T02:49:55.822559Z","iopub.status.idle":"2025-01-04T02:49:55.829024Z","shell.execute_reply.started":"2025-01-04T02:49:55.822531Z","shell.execute_reply":"2025-01-04T02:49:55.828082Z"}},"outputs":[{"name":"stdout","text":"Test mask:\n[[0 0 1 1 0 0]\n [0 1 1 1 0 0]]\nRLE encoding:\n3 2 8 3\n","output_type":"stream"}],"execution_count":128},{"cell_type":"code","source":"img_path = \"/kaggle/input/ai-dl-multiclass-segmentation/TestImages/06.jpg\"\nimg = load_img(img_path, target_size=(256, 256))\nimg_array = img_to_array(img) / 255.0  # Normalize\nimg_array = np.expand_dims(img_array, axis=0)\n\n# Check preprocessing\nprint(f\"Image array shape: {img_array.shape}\")\nprint(f\"Image array min: {img_array.min()}, max: {img_array.max()}\")\n\n# Predict\npred_mask = model.predict(img_array)\nprint(f\"Prediction shape: {pred_mask.shape}\")\nprint(f\"Prediction unique values (before argmax): {np.unique(pred_mask)}\")\n\n# Convert to class labels\npred_mask = np.argmax(pred_mask, axis=-1)[0]\nprint(f\"Prediction unique values (after argmax): {np.unique(pred_mask)}\")\n\n# Resize\nresized_mask = np.array(\n    Image.fromarray(pred_mask.astype(np.uint8)).resize((375, 500), resample=Image.NEAREST)\n)\nprint(f\"Resized mask shape: {resized_mask.shape}\")\nprint(f\"Resized mask unique values: {np.unique(resized_mask)}\")\n\n# Encode to RLE\nrle = encode_mask_to_rle(resized_mask)\nprint(f\"RLE encoding: {rle}\")\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-01-04T02:51:04.484247Z","iopub.execute_input":"2025-01-04T02:51:04.484544Z","iopub.status.idle":"2025-01-04T02:51:04.590714Z","shell.execute_reply.started":"2025-01-04T02:51:04.484519Z","shell.execute_reply":"2025-01-04T02:51:04.589925Z"}},"outputs":[{"name":"stdout","text":"Image array shape: (1, 256, 256, 3)\nImage array min: 0.0, max: 1.0\n\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\nPrediction shape: (1, 256, 256, 4)\nPrediction unique values (before argmax): [4.7928528e-20 5.0094727e-20 5.2214962e-20 ... 9.9730873e-01 9.9734843e-01\n 9.9741304e-01]\nPrediction unique values (after argmax): [0]\nResized mask shape: (500, 375)\nResized mask unique values: [0]\nRLE encoding: \n","output_type":"stream"}],"execution_count":130},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]}