{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Building a Pet Feeder App\n\n> Workshop at Amrita School of Engineering, Bengaluru\n\n*Kernel Author : Ramshankar Yadhunath*"},{"metadata":{},"cell_type":"markdown","source":"## Define the Problem Statement\n\n![image.png](attachment:image.png)","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"## A Reasonable \"Solution\"\n\nA reasonable solution in this context is a solution that can satisfy our stakeholder and also be feasible to implement. It's easy to understand that this problem is an **image classification** task. Hence, we shall focus on creating an image classifier that can distinguish between cats and dogs.\n\n### What's the MVP?\nMVP stands for minimum viable product. In other words, the [MVP is the product with just enough features for the product to be adopted by innovators or early adopters](https://www.productplan.com/glossary/minimum-viable-product/). Many a times, MVPs are built to test the preliminary version of a product and validate the idea.\n\nIn this project, the MVP is a software system that can label an image X as `dog` or `cat` depending upon what X actually contains. And it is an obvious requirement that this system must have a *high accuracy* i.e make as few errors as possible. **(Question: Is a high accuracy enough? Does it not seem like this product needs 100% accuracy? But, is that achievable? Think over this idea for yourself)**"},{"metadata":{},"cell_type":"markdown","source":"## Building the Classifier"},{"metadata":{"trusted":true},"cell_type":"code","source":"# import statements\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport os\nimport PIL\nimport tensorflow as tf\n\nfrom sklearn.model_selection import train_test_split\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\nfrom tensorflow.keras.models import Sequential\nfrom keras.preprocessing.image import load_img","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Loading the Data\n\nIn this project, we are lucky as there is already a pre-built dataset of dogs and cats available for us. It is what is already loaded into this kernel."},{"metadata":{"trusted":true},"cell_type":"code","source":"def get_labels(folder):\n    \"\"\"\n    Extracts the labels of the images\n    \"\"\"\n    \n    # initialize empty list of labels\n    labels = []\n    \n    for file in folder:\n        label = file.split('.')[0]\n        if label == 'cat':\n            labels.append(0)\n        else:\n            labels.append(1)\n            \n    return labels\n\ndef get_filenames(folder):\n    \"\"\"\n    Extracts the filenames of the images\n    \"\"\"\n    \n    files = []\n    for file in folder:\n        files.append(file)\n    \n    return files","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_kg_hide-output":true},"cell_type":"code","source":"# load data and data specifics\n\nTRAIN_DIR = '../input/dogs-vs-cats-redux-kernels-edition/train/train'\nTEST_DIR = '../input/dogs-vs-cats-redux-kernels-edition/test/test'\n\n! unzip '../input/dogs-vs-cats-redux-kernels-edition/train.zip'","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_kg_hide-input":false,"_kg_hide-output":true},"cell_type":"code","source":"! unzip '../input/dogs-vs-cats-redux-kernels-edition/test.zip'","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# get train images\n\ntr_images = os.listdir(\"./train\")\nprint(len(list(tr_images)))  # 25000 should be displayed as that's the size of the training set\n\nte_images = os.listdir(\"./test\")\nprint(len(list(te_images)))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# view image\n\nPIL.Image.open(str('train/' + get_filenames(tr_images)[0])) # keep changing the index value to get different images","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**What are your observations from these images?**"},{"metadata":{"trusted":true},"cell_type":"code","source":"# build the image data pipeline\n\ndef vectorize_image(filename, label):\n    \"\"\"\n    Convert image to array representation\n    \"\"\"\n    \n    image = tf.image.decode_jpeg(\n        tf.io.read_file('train/' + filename),\n        channels = 3\n    )\n    \n    # convert to float values in [0, 1]\n    image = tf.image.convert_image_dtype(image, tf.float32)\n    \n    return image, label\n\ndef pre_processing(filename, label):\n    \"\"\"\n    Perform pre-processing steps\n    \"\"\"\n    \n    # vectorize image first\n    image, label = vectorize_image(filename, label)\n    \n    # resize images for uniformity\n    image = tf.image.resize(image, [126, 126])\n    \n    # data augmentation (simple horizontal flipping)\n    image = tf.image.random_flip_left_right(image)\n    \n    return image, label\n\n# extract useful information from folders\nfilenames = get_filenames(tr_images)\nlabels = get_labels(tr_images)\n\n# split to train and validation set\ntr_filenames, val_filenames, tr_labels, val_labels = train_test_split(\n    filenames,\n    labels,\n    train_size = 0.8,\n    random_state = 101\n)\n\n# make the dataset\ntrain_dataset = tf.data.Dataset.from_tensor_slices((tr_filenames, tr_labels))\nval_dataset = tf.data.Dataset.from_tensor_slices((val_filenames, val_labels))\n# shuffle it\n#dataset = dataset.shuffle(len(filenames))\n# perform some pre-processing\n#dataset = dataset.map(pre_processing, num_parallel_calls=4)\n# set the batch size\n#dataset = dataset.batch(batch_size=32)\n# prefetch helps introduce parallel training\n#dataset = dataset.prefetch(1)\n\ntrain_dataset = (train_dataset\n                 .map(pre_processing, num_parallel_calls=4)\n                 .shuffle(len(tr_filenames))\n                 .batch(batch_size=32)\n                 .prefetch(1)\n                )\nval_dataset = (val_dataset\n               .map(pre_processing, num_parallel_calls=4)\n               .shuffle(len(val_filenames))\n               .batch(batch_size=32)\n               .prefetch(1)\n              )","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"type(val_dataset)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"tf.test.is_gpu_available()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# train the model\n\nmodel = tf.keras.Sequential([\n  layers.Conv2D(16, 3, padding='same', activation='relu'),\n  layers.MaxPooling2D(),\n  layers.Conv2D(32, 3, padding='same', activation='relu'),\n  layers.MaxPooling2D(),\n  layers.Conv2D(64, 3, padding='same', activation='relu'),\n  layers.GlobalAveragePooling2D(),\n  layers.Dropout(0.5),\n  layers.Dense(2, activation='sigmoid')\n])\n\nmodel.compile(optimizer='adam',\n              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n              metrics=['accuracy'])\n\nmodel.fit(train_dataset,\n          epochs = 5,\n          steps_per_epoch = int(len(tr_filenames)/32), # how many batches to be done before declaring an epoch as done?\n          validation_data = val_dataset,\n          validation_steps = 10,\n          verbose = 2\n)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# save the model; download it\n\nmodel.save('baseline_model_epoch10_batchsize32.h5')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Inference"},{"metadata":{"trusted":true},"cell_type":"code","source":"PIL.Image.open(str('test/' + get_filenames(te_images)[1024]))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"img = tf.io.read_file('test/' + get_filenames(te_images)[1024])\nimg = tf.image.decode_jpeg(img, channels=3)\nimg = tf.image.convert_image_dtype(img, tf.float32)\nimg.set_shape([None, None, 3])\nimg = tf.image.resize(img, (126, 126))\nimg = np.expand_dims(img, 0) # make 'batch' of 1\n\npred = model.predict(img)\npred_label_idx = np.argmax(pred) \nlabels = ['cat', 'dog']\npred_label = labels[pred_label_idx]\nprint(f'The given image is most likely the image of a {pred_label}.')","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}