{"cells":[{"metadata":{},"cell_type":"markdown","source":"### Mod2Mod\n\nWe explore using deep learning to learn mappings from one satellite imaging modality to another.\n\n* Some modalitities are expensive to obtain, or not available at the needed time.\n* Some modalitities are more intrerpretable to the untrained eye\n* Some algorithms require having specific bands, or they are trained on specific bands and we would like to achieve a similar performance on new bands\n\nThis technique is called Colorification (used for converting grayscale to RGB images, but here we consider the more general case of mapping). It can be achieved by fitting a function from one modality to the other one and when a lot of data is available can be tackled by deep learning.\n\nhttps://arxiv.org/pdf/1604.02245.pdf\n\nhttps://richzhang.github.io/colorization/\n\n\nWe will explore several modalities: RGB, Infrared, Radar."},{"metadata":{},"cell_type":"markdown","source":"### RGB2IR"},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We will use a small image from Planet Labs RGB-IR image to test the pipeline."},{"metadata":{"trusted":true},"cell_type":"code","source":"# !pip install scikit-image","execution_count":104,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# read the image\nimport skimage\n\nim = skimage.io.imread('../input/planet-image/1057916_2016-07-07_RE1_3A_Visual_clip.tif')","execution_count":117,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"im = im[:1536,:1536,:]","execution_count":118,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#plt.imshow(im[:,:,7],cmap = 'gray')","execution_count":119,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# reading an sentinel1&sentinel2 image combo extracted from Google Earth Engine\n#im = skimage.io.imread('../input/ls-yakima/LS_Yakima_20180811.tif')","execution_count":120,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.imshow(im[:,:,3],cmap = 'gray')","execution_count":121,"outputs":[{"output_type":"execute_result","execution_count":121,"data":{"text/plain":"<matplotlib.image.AxesImage at 0x7f6229010828>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from skimage.util.shape import view_as_blocks\nim_blocks = view_as_blocks(im, block_shape=(128, 128, 4))","execution_count":194,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/skimage/util/shape.py:93: RuntimeWarning: Cannot provide views on a non-contiguous input array without copying.\n  warn(RuntimeWarning(\"Cannot provide views on a non-contiguous input \"\n","name":"stderr"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"# splitting into tiles\nim_blocks.shape\n","execution_count":195,"outputs":[{"output_type":"execute_result","execution_count":195,"data":{"text/plain":"(12, 12, 1, 128, 128, 4)"},"metadata":{}}]},{"metadata":{"_cell_guid":"e61ef2d8-f315-4f7f-b07e-1de0f4e8441a","_uuid":"1677fddbb95f7545b6540e9201f3339a0fdbfc5d"},"cell_type":"markdown","source":""},{"metadata":{},"cell_type":"markdown","source":"![](http://)We will use Keras and a deep learning architecture called [U-net](https://arxiv.org/abs/1505.04597) (which has been successful in many imaging domains)."},{"metadata":{"_cell_guid":"c332549b-8d23-4bb5-8497-e7a8eb8b21d2","_uuid":"5c38504af3a84bee68c66d3cde74443c58df422f","trusted":true},"cell_type":"code","source":"import os\nimport sys\nimport random\nimport warnings\n\nimport numpy as np\nimport pandas as pd\n\nimport matplotlib.pyplot as plt\n\nfrom tqdm import tqdm\nfrom itertools import chain\nfrom skimage.io import imread, imshow, imread_collection, concatenate_images\nfrom skimage.transform import resize\nfrom skimage.morphology import label\n\nfrom keras.models import Model, load_model\nfrom keras.layers import Input\nfrom keras.layers.core import Dropout, Lambda\nfrom keras.layers.convolutional import Conv2D, Conv2DTranspose\nfrom keras.layers.pooling import MaxPooling2D\nfrom keras.layers.merge import concatenate\nfrom keras.callbacks import EarlyStopping, ModelCheckpoint\nfrom keras import backend as K\n\nimport tensorflow as tf\n\n# Set some parameters\nIMG_WIDTH = 128\nIMG_HEIGHT = 128\nIMG_CHANNELS = 3\nTRAIN_PATH = '../input/stage1_train/'\nTEST_PATH = '../input/stage1_test/'\n\nwarnings.filterwarnings('ignore', category=UserWarning, module='skimage')\nseed = 42\nrandom.seed = seed\nnp.random.seed = seed","execution_count":196,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt\nplt.imshow(im[:,:,3],cmap = 'gray')\nplt.hist(im[:,:,3].ravel(),2)","execution_count":197,"outputs":[{"output_type":"execute_result","execution_count":197,"data":{"text/plain":"(array([  48874., 2310422.]),\n array([  0. , 127.5, 255. ]),\n <a list of 2 Patch objects>)"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"imsize = 128","execution_count":198,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.imshow(im[:,:,:3])","execution_count":199,"outputs":[{"output_type":"execute_result","execution_count":199,"data":{"text/plain":"<matplotlib.image.AxesImage at 0x7f62200a5a58>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"im_blocks.squeeze().shape","execution_count":200,"outputs":[{"output_type":"execute_result","execution_count":200,"data":{"text/plain":"(12, 12, 128, 128, 4)"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"im_blocks = im_blocks.squeeze().reshape((12*12,128,128,4))\nim_blocks.shape","execution_count":201,"outputs":[{"output_type":"execute_result","execution_count":201,"data":{"text/plain":"(144, 128, 128, 4)"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"#X_train = im_blocks[:8,:,:,:3] \n#Y_train = im_blocks[:8,:,:,-1]\n#X_test = im_blocks[8:,:,:,:3]\n#Y_test = im_blocks[8:,:,:,-1]","execution_count":202,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"im_blocks.shape","execution_count":203,"outputs":[{"output_type":"execute_result","execution_count":203,"data":{"text/plain":"(144, 128, 128, 4)"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.model_selection import train_test_split","execution_count":204,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"im_blocks[:,:,:,3].reshape(dim[0],dim[1],dim[2],1).shape","execution_count":211,"outputs":[{"output_type":"execute_result","execution_count":211,"data":{"text/plain":"(144, 128, 128, 1)"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"# we will randomly split\nX_train, X_test, Y_train, Y_test = train_test_split(im_blocks[:,:,:,:3], im_blocks[:,:,:,:3].mean(axis=3), test_size=0.33, random_state=42)","execution_count":216,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"Y_train.shape","execution_count":217,"outputs":[{"output_type":"execute_result","execution_count":217,"data":{"text/plain":"(96, 128, 128)"},"metadata":{}}]},{"metadata":{"_cell_guid":"ffa0caf0-2d1b-40f2-865b-8e6db88526b6","_uuid":"3fb9d6530fbbd0e22e41fc4fd9fd9fc0bff027ac","trusted":true},"cell_type":"code","source":"Y_train = Y_train.reshape(Y_train.shape[0],128,128,1)\nY_test = Y_test.reshape(Y_test.shape[0],128,128,1)","execution_count":219,"outputs":[]},{"metadata":{"_cell_guid":"59c4a25d-645f-4b74-9c53-145ac78cc481","_uuid":"875af74f980236825de3a650825b46e25632422c"},"cell_type":"markdown","source":""},{"metadata":{"_cell_guid":"c0523b03-1fc5-4505-a1b8-eb35ee617c8a","_uuid":"d4f8327802a1ec6139ce0585953986272ba62ce1"},"cell_type":"markdown","source":"Let's see if things look all right by drawing some random images and their associated masks."},{"metadata":{"_cell_guid":"ca0cc34b-c26f-41ee-88d7-975aebdb634e","_uuid":"9e389ba8bdb5b6fc03b231b6a6c84a8bde634053","trusted":true},"cell_type":"markdown","source":"# Get and resize train images and masks\nX_train = np.zeros((len(train_ids), IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS), dtype=np.uint8)\nY_train = np.zeros((len(train_ids), IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool)\nprint('Getting and resizing train images and masks ... ')\nsys.stdout.flush()\nfor n, id_ in tqdm(enumerate(train_ids), total=len(train_ids)):\n    path = TRAIN_PATH + id_\n    img = imread(path + '/images/' + id_ + '.png')[:,:,:IMG_CHANNELS]\n    img = resize(img, (IMG_HEIGHT, IMG_WIDTH), mode='constant', preserve_range=True)\n    X_train[n] = img\n    mask = np.zeros((IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool)\n    for mask_file in next(os.walk(path + '/masks/'))[2]:\n        mask_ = imread(path + '/masks/' + mask_file)\n        mask_ = np.expand_dims(resize(mask_, (IMG_HEIGHT, IMG_WIDTH), mode='constant', \n                                      preserve_range=True), axis=-1)\n        mask = np.maximum(mask, mask_)\n    Y_train[n] = mask\n\n# Get and resize test images\nX_test = np.zeros((len(test_ids), IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS), dtype=np.uint8)\nsizes_test = []\nprint('Getting and resizing test images ... ')\nsys.stdout.flush()\nfor n, id_ in tqdm(enumerate(test_ids), total=len(test_ids)):\n    path = TEST_PATH + id_\n    img = imread(path + '/images/' + id_ + '.png')[:,:,:IMG_CHANNELS]\n    sizes_test.append([img.shape[0], img.shape[1]])\n    img = resize(img, (IMG_HEIGHT, IMG_WIDTH), mode='constant', preserve_range=True)\n    X_test[n] = img\n\nprint('Done!')"},{"metadata":{"trusted":true},"cell_type":"code","source":"\n#Y_train = Y_train.reshape(Y_train.shape[0]*Y_train.shape[1],imsize,imsize,1)","execution_count":220,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#X_train = X_train.reshape((12*12,128,128,3))\n#print(X_train.shape)\n#Y_train = Y_train.reshape((12*12,128,128,1))\n#print(Y_train.shape)","execution_count":221,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"Y_test.min()","execution_count":222,"outputs":[{"output_type":"execute_result","execution_count":222,"data":{"text/plain":"0.0"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"88829b53-50ce-45d9-9540-77dd7384ad4c","_uuid":"283af26f0860b7069bdfd133c746e5d20971542c","trusted":true},"cell_type":"code","source":"# Check if training data looks all right\nix = random.randint(0, len(im_blocks))\nplt.imshow(X_train[0,:,:,0],)\nplt.imshow(Y_train[0,:,:,0],cmap = 'gray')","execution_count":223,"outputs":[{"output_type":"execute_result","execution_count":223,"data":{"text/plain":"<matplotlib.image.AxesImage at 0x7f62187de828>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{"_cell_guid":"2574ffe9-b911-4bfd-a00f-9ba5c25f45de","_uuid":"938648da705689a0f940ff462477c801db3f0737"},"cell_type":"markdown","source":"We are going to \n\n"},{"metadata":{"_cell_guid":"c1df6f3a-d58f-434b-9216-ef7be38637d4","_uuid":"5abd38950ae99b60f8afec7656eb654a48d449fe","trusted":true},"cell_type":"code","source":"# Define IoU metric\n# def mean_iou(y_true, y_pred):\n#    prec = []\n#    for t in np.arange(0.5, 1.0, 0.05):\n#        y_pred_ = tf.to_int32(y_pred > t)\n#        score, up_opt = tf.metrics.mean_iou(y_true, y_pred_, 2)\n#        K.get_session().run(tf.local_variables_initializer())\n#        with tf.control_dependencies([up_opt]):\n#            score = tf.identity(score)\n#        prec.append(score)\n#    return K.mean(K.stack(prec), axis=0)","execution_count":224,"outputs":[]},{"metadata":{"_cell_guid":"c3b9f148-1dba-4b6a-981b-6cdbf394fc3c","_uuid":"986488a4c5223576be370e224426a30431911eb2"},"cell_type":"markdown","source":"# Build and train our neural network\nNext we build our U-Net model, loosely based on [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/pdf/1505.04597.pdf) and very similar to [this repo](https://github.com/jocicmarko/ultrasound-nerve-segmentation) from the Kaggle Ultrasound Nerve Segmentation competition.\n\n![](https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/u-net-architecture.png)"},{"metadata":{"_cell_guid":"c1dbc57c-b497-4ccb-b077-2053203ab7ed","_uuid":"0aa97d66c29f45dfac9b0f45fcf74ba0e778ba5d","trusted":true},"cell_type":"code","source":"# Build U-Net model\ninputs = Input((IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS))\ns = Lambda(lambda x: x / 255) (inputs)\n\nc1 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (s)\nc1 = Dropout(0.1) (c1)\nc1 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c1)\np1 = MaxPooling2D((2, 2)) (c1)\n\nc2 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p1)\nc2 = Dropout(0.1) (c2)\nc2 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c2)\np2 = MaxPooling2D((2, 2)) (c2)\n\nc3 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p2)\nc3 = Dropout(0.2) (c3)\nc3 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c3)\np3 = MaxPooling2D((2, 2)) (c3)\n\nc4 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p3)\nc4 = Dropout(0.2) (c4)\nc4 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c4)\np4 = MaxPooling2D(pool_size=(2, 2)) (c4)\n\nc5 = Conv2D(256, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p4)\nc5 = Dropout(0.3) (c5)\nc5 = Conv2D(256, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c5)\n\nu6 = Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same') (c5)\nu6 = concatenate([u6, c4])\nc6 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u6)\nc6 = Dropout(0.2) (c6)\nc6 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c6)\n\nu7 = Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same') (c6)\nu7 = concatenate([u7, c3])\nc7 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u7)\nc7 = Dropout(0.2) (c7)\nc7 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c7)\n\nu8 = Conv2DTranspose(32, (2, 2), strides=(2, 2), padding='same') (c7)\nu8 = concatenate([u8, c2])\nc8 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u8)\nc8 = Dropout(0.1) (c8)\nc8 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c8)\n\nu9 = Conv2DTranspose(16, (2, 2), strides=(2, 2), padding='same') (c8)\nu9 = concatenate([u9, c1], axis=3)\nc9 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u9)\nc9 = Dropout(0.1) (c9)\nc9 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c9)\n\noutputs = Conv2D(1, (1, 1), activation='linear') (c9)\n\nmodel = Model(inputs=[inputs], outputs=[outputs])\nmodel.compile(optimizer='adam', loss='mean_squared_error')\nmodel.summary()","execution_count":225,"outputs":[{"output_type":"stream","text":"__________________________________________________________________________________________________\nLayer (type)                    Output Shape         Param #     Connected to                     \n==================================================================================================\ninput_4 (InputLayer)            (None, 128, 128, 3)  0                                            \n__________________________________________________________________________________________________\nlambda_4 (Lambda)               (None, 128, 128, 3)  0           input_4[0][0]                    \n__________________________________________________________________________________________________\nconv2d_58 (Conv2D)              (None, 128, 128, 16) 448         lambda_4[0][0]                   \n__________________________________________________________________________________________________\ndropout_28 (Dropout)            (None, 128, 128, 16) 0           conv2d_58[0][0]                  \n__________________________________________________________________________________________________\nconv2d_59 (Conv2D)              (None, 128, 128, 16) 2320        dropout_28[0][0]                 \n__________________________________________________________________________________________________\nmax_pooling2d_13 (MaxPooling2D) (None, 64, 64, 16)   0           conv2d_59[0][0]                  \n__________________________________________________________________________________________________\nconv2d_60 (Conv2D)              (None, 64, 64, 32)   4640        max_pooling2d_13[0][0]           \n__________________________________________________________________________________________________\ndropout_29 (Dropout)            (None, 64, 64, 32)   0           conv2d_60[0][0]                  \n__________________________________________________________________________________________________\nconv2d_61 (Conv2D)              (None, 64, 64, 32)   9248        dropout_29[0][0]                 \n__________________________________________________________________________________________________\nmax_pooling2d_14 (MaxPooling2D) (None, 32, 32, 32)   0           conv2d_61[0][0]                  \n__________________________________________________________________________________________________\nconv2d_62 (Conv2D)              (None, 32, 32, 64)   18496       max_pooling2d_14[0][0]           \n__________________________________________________________________________________________________\ndropout_30 (Dropout)            (None, 32, 32, 64)   0           conv2d_62[0][0]                  \n__________________________________________________________________________________________________\nconv2d_63 (Conv2D)              (None, 32, 32, 64)   36928       dropout_30[0][0]                 \n__________________________________________________________________________________________________\nmax_pooling2d_15 (MaxPooling2D) (None, 16, 16, 64)   0           conv2d_63[0][0]                  \n__________________________________________________________________________________________________\nconv2d_64 (Conv2D)              (None, 16, 16, 128)  73856       max_pooling2d_15[0][0]           \n__________________________________________________________________________________________________\ndropout_31 (Dropout)            (None, 16, 16, 128)  0           conv2d_64[0][0]                  \n__________________________________________________________________________________________________\nconv2d_65 (Conv2D)              (None, 16, 16, 128)  147584      dropout_31[0][0]                 \n__________________________________________________________________________________________________\nmax_pooling2d_16 (MaxPooling2D) (None, 8, 8, 128)    0           conv2d_65[0][0]                  \n__________________________________________________________________________________________________\nconv2d_66 (Conv2D)              (None, 8, 8, 256)    295168      max_pooling2d_16[0][0]           \n__________________________________________________________________________________________________\ndropout_32 (Dropout)            (None, 8, 8, 256)    0           conv2d_66[0][0]                  \n__________________________________________________________________________________________________\nconv2d_67 (Conv2D)              (None, 8, 8, 256)    590080      dropout_32[0][0]                 \n__________________________________________________________________________________________________\nconv2d_transpose_13 (Conv2DTran (None, 16, 16, 128)  131200      conv2d_67[0][0]                  \n__________________________________________________________________________________________________\nconcatenate_13 (Concatenate)    (None, 16, 16, 256)  0           conv2d_transpose_13[0][0]        \n                                                                 conv2d_65[0][0]                  \n__________________________________________________________________________________________________\nconv2d_68 (Conv2D)              (None, 16, 16, 128)  295040      concatenate_13[0][0]             \n__________________________________________________________________________________________________\ndropout_33 (Dropout)            (None, 16, 16, 128)  0           conv2d_68[0][0]                  \n__________________________________________________________________________________________________\nconv2d_69 (Conv2D)              (None, 16, 16, 128)  147584      dropout_33[0][0]                 \n__________________________________________________________________________________________________\nconv2d_transpose_14 (Conv2DTran (None, 32, 32, 64)   32832       conv2d_69[0][0]                  \n__________________________________________________________________________________________________\nconcatenate_14 (Concatenate)    (None, 32, 32, 128)  0           conv2d_transpose_14[0][0]        \n                                                                 conv2d_63[0][0]                  \n__________________________________________________________________________________________________\nconv2d_70 (Conv2D)              (None, 32, 32, 64)   73792       concatenate_14[0][0]             \n__________________________________________________________________________________________________\ndropout_34 (Dropout)            (None, 32, 32, 64)   0           conv2d_70[0][0]                  \n__________________________________________________________________________________________________\nconv2d_71 (Conv2D)              (None, 32, 32, 64)   36928       dropout_34[0][0]                 \n__________________________________________________________________________________________________\nconv2d_transpose_15 (Conv2DTran (None, 64, 64, 32)   8224        conv2d_71[0][0]                  \n__________________________________________________________________________________________________\nconcatenate_15 (Concatenate)    (None, 64, 64, 64)   0           conv2d_transpose_15[0][0]        \n                                                                 conv2d_61[0][0]                  \n__________________________________________________________________________________________________\nconv2d_72 (Conv2D)              (None, 64, 64, 32)   18464       concatenate_15[0][0]             \n__________________________________________________________________________________________________\ndropout_35 (Dropout)            (None, 64, 64, 32)   0           conv2d_72[0][0]                  \n__________________________________________________________________________________________________\nconv2d_73 (Conv2D)              (None, 64, 64, 32)   9248        dropout_35[0][0]                 \n__________________________________________________________________________________________________\nconv2d_transpose_16 (Conv2DTran (None, 128, 128, 16) 2064        conv2d_73[0][0]                  \n__________________________________________________________________________________________________\nconcatenate_16 (Concatenate)    (None, 128, 128, 32) 0           conv2d_transpose_16[0][0]        \n                                                                 conv2d_59[0][0]                  \n__________________________________________________________________________________________________\nconv2d_74 (Conv2D)              (None, 128, 128, 16) 4624        concatenate_16[0][0]             \n__________________________________________________________________________________________________\ndropout_36 (Dropout)            (None, 128, 128, 16) 0           conv2d_74[0][0]                  \n__________________________________________________________________________________________________\nconv2d_75 (Conv2D)              (None, 128, 128, 16) 2320        dropout_36[0][0]                 \n__________________________________________________________________________________________________\nconv2d_76 (Conv2D)              (None, 128, 128, 1)  17          conv2d_75[0][0]                  \n==================================================================================================\nTotal params: 1,941,105\nTrainable params: 1,941,105\nNon-trainable params: 0\n__________________________________________________________________________________________________\n","name":"stdout"}]},{"metadata":{"_cell_guid":"72330944-6ce7-4070-b276-c3c4b20c4fe5","_uuid":"92350b6e18cc50f3fa7b6e9a02d39fcbff8238f7"},"cell_type":"markdown","source":"*Update: Changed to ELU units, added dropout.*\n\nNext we fit the model on the training data, using a validation split of 0.1. We use a small batch size because we have so little data. I recommend using checkpointing and early stopping when training your model. I won't do it here to make things a bit more reproducible (although it's very likely that your results will be different anyway). I'll just train for 10 epochs, which takes around 10 minutes in the Kaggle kernel with the current parameters. \n\n*Update: Added early stopping and checkpointing and increased to 30 epochs.*"},{"metadata":{"_cell_guid":"9415b1c4-aa69-41b9-a1e3-d6053dbd4f64","_uuid":"c060db22daa2abf12b28240cd81bbcbf1ce1bf87","trusted":true},"cell_type":"code","source":"# Fit model\nearlystopper = EarlyStopping(patience=5, verbose=1)\ncheckpointer = ModelCheckpoint('model-dsbowl2018-1.h5', verbose=1, save_best_only=True)\nresults = model.fit(X_train, Y_train, validation_split=0.1, batch_size=16, epochs=50, \n                    callbacks=[earlystopper, checkpointer])","execution_count":226,"outputs":[{"output_type":"stream","text":"Train on 86 samples, validate on 10 samples\nEpoch 1/50\n86/86 [==============================] - 2s 27ms/step - loss: 3468.9973 - val_loss: 3308.6792\n\nEpoch 00001: val_loss improved from inf to 3308.67920, saving model to model-dsbowl2018-1.h5\nEpoch 2/50\n86/86 [==============================] - 0s 2ms/step - loss: 3145.9061 - val_loss: 2169.2822\n\nEpoch 00002: val_loss improved from 3308.67920 to 2169.28223, saving model to model-dsbowl2018-1.h5\nEpoch 3/50\n86/86 [==============================] - 0s 2ms/step - loss: 1662.0948 - val_loss: 1139.1506\n\nEpoch 00003: val_loss improved from 2169.28223 to 1139.15063, saving model to model-dsbowl2018-1.h5\nEpoch 4/50\n86/86 [==============================] - 0s 2ms/step - loss: 981.2982 - val_loss: 752.9993\n\nEpoch 00004: val_loss improved from 1139.15063 to 752.99933, saving model to model-dsbowl2018-1.h5\nEpoch 5/50\n86/86 [==============================] - 0s 2ms/step - loss: 792.2771 - val_loss: 1174.9875\n\nEpoch 00005: val_loss did not improve from 752.99933\nEpoch 6/50\n86/86 [==============================] - 0s 2ms/step - loss: 662.7658 - val_loss: 1110.3251\n\nEpoch 00006: val_loss did not improve from 752.99933\nEpoch 7/50\n86/86 [==============================] - 0s 2ms/step - loss: 574.2586 - val_loss: 540.3380\n\nEpoch 00007: val_loss improved from 752.99933 to 540.33795, saving model to model-dsbowl2018-1.h5\nEpoch 8/50\n86/86 [==============================] - 0s 2ms/step - loss: 506.9533 - val_loss: 613.1129\n\nEpoch 00008: val_loss did not improve from 540.33795\nEpoch 9/50\n86/86 [==============================] - 0s 2ms/step - loss: 462.1075 - val_loss: 764.6824\n\nEpoch 00009: val_loss did not improve from 540.33795\nEpoch 10/50\n86/86 [==============================] - 0s 2ms/step - loss: 463.9095 - val_loss: 428.7726\n\nEpoch 00010: val_loss improved from 540.33795 to 428.77264, saving model to model-dsbowl2018-1.h5\nEpoch 11/50\n86/86 [==============================] - 0s 2ms/step - loss: 424.8519 - val_loss: 573.2165\n\nEpoch 00011: val_loss did not improve from 428.77264\nEpoch 12/50\n86/86 [==============================] - 0s 2ms/step - loss: 382.3847 - val_loss: 475.5680\n\nEpoch 00012: val_loss did not improve from 428.77264\nEpoch 13/50\n86/86 [==============================] - 0s 2ms/step - loss: 363.2440 - val_loss: 423.2868\n\nEpoch 00013: val_loss improved from 428.77264 to 423.28680, saving model to model-dsbowl2018-1.h5\nEpoch 14/50\n86/86 [==============================] - 0s 2ms/step - loss: 348.3577 - val_loss: 424.5409\n\nEpoch 00014: val_loss did not improve from 423.28680\nEpoch 15/50\n86/86 [==============================] - 0s 2ms/step - loss: 333.4156 - val_loss: 433.6307\n\nEpoch 00015: val_loss did not improve from 423.28680\nEpoch 16/50\n86/86 [==============================] - 0s 2ms/step - loss: 320.0897 - val_loss: 398.0690\n\nEpoch 00016: val_loss improved from 423.28680 to 398.06903, saving model to model-dsbowl2018-1.h5\nEpoch 17/50\n86/86 [==============================] - 0s 2ms/step - loss: 305.8374 - val_loss: 350.4427\n\nEpoch 00017: val_loss improved from 398.06903 to 350.44269, saving model to model-dsbowl2018-1.h5\nEpoch 18/50\n86/86 [==============================] - 0s 2ms/step - loss: 290.8551 - val_loss: 339.2529\n\nEpoch 00018: val_loss improved from 350.44269 to 339.25287, saving model to model-dsbowl2018-1.h5\nEpoch 19/50\n86/86 [==============================] - 0s 2ms/step - loss: 279.5238 - val_loss: 325.5740\n\nEpoch 00019: val_loss improved from 339.25287 to 325.57404, saving model to model-dsbowl2018-1.h5\nEpoch 20/50\n86/86 [==============================] - 0s 2ms/step - loss: 265.8712 - val_loss: 298.0910\n\nEpoch 00020: val_loss improved from 325.57404 to 298.09097, saving model to model-dsbowl2018-1.h5\nEpoch 21/50\n86/86 [==============================] - 0s 2ms/step - loss: 253.5029 - val_loss: 268.8469\n\nEpoch 00021: val_loss improved from 298.09097 to 268.84686, saving model to model-dsbowl2018-1.h5\nEpoch 22/50\n86/86 [==============================] - 0s 2ms/step - loss: 243.8234 - val_loss: 249.9104\n\nEpoch 00022: val_loss improved from 268.84686 to 249.91035, saving model to model-dsbowl2018-1.h5\nEpoch 23/50\n86/86 [==============================] - 0s 2ms/step - loss: 234.2580 - val_loss: 260.1856\n\nEpoch 00023: val_loss did not improve from 249.91035\nEpoch 24/50\n86/86 [==============================] - 0s 2ms/step - loss: 227.2512 - val_loss: 269.6680\n\nEpoch 00024: val_loss did not improve from 249.91035\nEpoch 25/50\n86/86 [==============================] - 0s 2ms/step - loss: 219.2036 - val_loss: 233.9036\n\nEpoch 00025: val_loss improved from 249.91035 to 233.90361, saving model to model-dsbowl2018-1.h5\nEpoch 26/50\n86/86 [==============================] - 0s 2ms/step - loss: 218.9873 - val_loss: 255.0856\n\nEpoch 00026: val_loss did not improve from 233.90361\nEpoch 27/50\n86/86 [==============================] - 0s 2ms/step - loss: 226.4239 - val_loss: 230.0637\n\nEpoch 00027: val_loss improved from 233.90361 to 230.06372, saving model to model-dsbowl2018-1.h5\nEpoch 28/50\n86/86 [==============================] - 0s 2ms/step - loss: 225.0823 - val_loss: 214.4892\n\nEpoch 00028: val_loss improved from 230.06372 to 214.48918, saving model to model-dsbowl2018-1.h5\nEpoch 29/50\n86/86 [==============================] - 0s 2ms/step - loss: 200.9019 - val_loss: 250.7867\n\nEpoch 00029: val_loss did not improve from 214.48918\nEpoch 30/50\n86/86 [==============================] - 0s 2ms/step - loss: 193.3422 - val_loss: 189.1577\n\nEpoch 00030: val_loss improved from 214.48918 to 189.15770, saving model to model-dsbowl2018-1.h5\nEpoch 31/50\n86/86 [==============================] - 0s 2ms/step - loss: 184.8350 - val_loss: 184.2385\n\nEpoch 00031: val_loss improved from 189.15770 to 184.23851, saving model to model-dsbowl2018-1.h5\nEpoch 32/50\n86/86 [==============================] - 0s 2ms/step - loss: 183.4199 - val_loss: 226.9972\n\nEpoch 00032: val_loss did not improve from 184.23851\nEpoch 33/50\n86/86 [==============================] - 0s 2ms/step - loss: 182.6586 - val_loss: 187.0790\n\nEpoch 00033: val_loss did not improve from 184.23851\nEpoch 34/50\n86/86 [==============================] - 0s 2ms/step - loss: 168.9964 - val_loss: 165.0016\n\nEpoch 00034: val_loss improved from 184.23851 to 165.00160, saving model to model-dsbowl2018-1.h5\nEpoch 35/50\n86/86 [==============================] - 0s 2ms/step - loss: 164.4758 - val_loss: 165.4983\n\nEpoch 00035: val_loss did not improve from 165.00160\nEpoch 36/50\n86/86 [==============================] - 0s 2ms/step - loss: 158.4469 - val_loss: 167.9953\n\nEpoch 00036: val_loss did not improve from 165.00160\nEpoch 37/50\n86/86 [==============================] - 0s 2ms/step - loss: 155.4392 - val_loss: 162.7038\n\nEpoch 00037: val_loss improved from 165.00160 to 162.70378, saving model to model-dsbowl2018-1.h5\nEpoch 38/50\n86/86 [==============================] - 0s 2ms/step - loss: 149.3707 - val_loss: 145.8210\n\nEpoch 00038: val_loss improved from 162.70378 to 145.82098, saving model to model-dsbowl2018-1.h5\nEpoch 39/50\n86/86 [==============================] - 0s 2ms/step - loss: 144.6560 - val_loss: 145.2965\n\nEpoch 00039: val_loss improved from 145.82098 to 145.29648, saving model to model-dsbowl2018-1.h5\nEpoch 40/50\n86/86 [==============================] - 0s 2ms/step - loss: 139.9337 - val_loss: 140.6991\n\nEpoch 00040: val_loss improved from 145.29648 to 140.69914, saving model to model-dsbowl2018-1.h5\nEpoch 41/50\n86/86 [==============================] - 0s 2ms/step - loss: 136.3817 - val_loss: 135.9073\n\nEpoch 00041: val_loss improved from 140.69914 to 135.90735, saving model to model-dsbowl2018-1.h5\nEpoch 42/50\n86/86 [==============================] - 0s 2ms/step - loss: 132.6161 - val_loss: 130.6464\n\nEpoch 00042: val_loss improved from 135.90735 to 130.64636, saving model to model-dsbowl2018-1.h5\nEpoch 43/50\n86/86 [==============================] - 0s 2ms/step - loss: 129.4149 - val_loss: 125.1101\n\nEpoch 00043: val_loss improved from 130.64636 to 125.11009, saving model to model-dsbowl2018-1.h5\nEpoch 44/50\n86/86 [==============================] - 0s 2ms/step - loss: 125.8343 - val_loss: 122.4660\n\nEpoch 00044: val_loss improved from 125.11009 to 122.46600, saving model to model-dsbowl2018-1.h5\n","name":"stdout"},{"output_type":"stream","text":"Epoch 45/50\n86/86 [==============================] - 0s 2ms/step - loss: 122.2909 - val_loss: 119.7456\n\nEpoch 00045: val_loss improved from 122.46600 to 119.74563, saving model to model-dsbowl2018-1.h5\nEpoch 46/50\n86/86 [==============================] - 0s 2ms/step - loss: 119.4916 - val_loss: 114.3912\n\nEpoch 00046: val_loss improved from 119.74563 to 114.39117, saving model to model-dsbowl2018-1.h5\nEpoch 47/50\n86/86 [==============================] - 0s 2ms/step - loss: 116.5068 - val_loss: 110.0002\n\nEpoch 00047: val_loss improved from 114.39117 to 110.00022, saving model to model-dsbowl2018-1.h5\nEpoch 48/50\n86/86 [==============================] - 0s 2ms/step - loss: 113.7610 - val_loss: 107.6904\n\nEpoch 00048: val_loss improved from 110.00022 to 107.69043, saving model to model-dsbowl2018-1.h5\nEpoch 49/50\n86/86 [==============================] - 0s 2ms/step - loss: 110.8749 - val_loss: 106.2631\n\nEpoch 00049: val_loss improved from 107.69043 to 106.26311, saving model to model-dsbowl2018-1.h5\nEpoch 50/50\n86/86 [==============================] - 0s 2ms/step - loss: 108.0049 - val_loss: 102.7408\n\nEpoch 00050: val_loss improved from 106.26311 to 102.74080, saving model to model-dsbowl2018-1.h5\n","name":"stdout"}]},{"metadata":{"_cell_guid":"1f381f5b-1b71-4daa-a417-e02f4894540b","_uuid":"bb15226ea617cf91ed8f43179fccb5a15809e5a0"},"cell_type":"markdown","source":"All right, looks good! Loss seems to be a bit erratic, though. I'll leave it to you to improve the model architecture and parameters! \n\n# Make predictions\n\nLet's make predictions both on the test set, the val set and the train set (as a sanity check). Remember to load the best saved model if you've used early stopping and checkpointing."},{"metadata":{"_cell_guid":"2daa48d5-ac98-4e18-af3f-a582baaa44f0","_uuid":"f841760b4abca1a25cb750822f88268bd79bf2ce","trusted":true},"cell_type":"code","source":"# Predict on train, val and test\nmodel = load_model('model-dsbowl2018-1.h5')\npreds_train = model.predict(X_train[:int(X_train.shape[0]*0.9)], verbose=1)\npreds_val = model.predict(X_train[int(X_train.shape[0]*0.9):], verbose=1)\npreds_test = model.predict(X_test, verbose=1)\n\n# Threshold predictions\npreds_train_t = (preds_train > 0.5).astype(np.uint8)\npreds_val_t = (preds_val > 0.5).astype(np.uint8)\npreds_test_t = (preds_test > 0.5).astype(np.uint8)\n\n# Create list of upsampled test masks\npreds_test_upsampled = []\nfor i in range(len(preds_test)):\n    preds_test_upsampled.append(resize(np.squeeze(preds_test[i]), \n                                       (sizes_test[i][0], sizes_test[i][1]), \n                                       mode='constant', preserve_range=True))","execution_count":228,"outputs":[{"output_type":"stream","text":"86/86 [==============================] - 1s 8ms/step\n10/10 [==============================] - 0s 620us/step\n48/48 [==============================] - 0s 565us/step\n","name":"stdout"},{"output_type":"error","ename":"NameError","evalue":"name 'sizes_test' is not defined","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-228-d39fb3ea2d9e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpreds_test\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m     preds_test_upsampled.append(resize(np.squeeze(preds_test[i]), \n\u001b[0;32m---> 16\u001b[0;31m                                        \u001b[0;34m(\u001b[0m\u001b[0msizes_test\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msizes_test\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     17\u001b[0m                                        mode='constant', preserve_range=True))\n","\u001b[0;31mNameError\u001b[0m: name 'sizes_test' is not defined"]}]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Perform a sanity check on some random training samples\nix = random.randint(0, X_train.shape[0])\nimshow(X_train[ix])\nplt.show()\nimshow(np.squeeze(Y_train[ix]),cmap = 'gray')\nplt.show()\nimshow(np.squeeze(preds_train[ix]),cmap = 'gray')\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"649248cd-a1fb-4da6-ade2-4bebad44bcab","_uuid":"7e06242a50870e07a080064a4912b761775990fa","trusted":true},"cell_type":"code","source":"# Perform a sanity check on some random training samples\nix = random.randint(0, X_train.shape[0])\nimshow(X_train[ix])\nplt.show()\nimshow(np.squeeze(Y_train[ix]),cmap = 'gray')\nplt.show()\nimshow(np.squeeze(preds_train[ix]),cmap = 'gray')\nplt.show()","execution_count":231,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure 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\n"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"preds_train.min()","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"af602aea-5e56-42a8-9331-54b4b2650593","_uuid":"5fcee2b9aee2fba5c60d43ad48a14139e9c1318c"},"cell_type":"markdown","source":"The model is at least able to fit to the training data! Certainly a lot of room for improvement even here, but a decent start. How about the validation data?"},{"metadata":{"_cell_guid":"4f66b75c-c694-41a1-8c91-34bb6595837b","_uuid":"d4ccbb559375bc2777ffb692a20adc313159f2cc","trusted":true},"cell_type":"code","source":"# Perform a sanity check on some random validation samples\nix = random.randint(0, preds_val.shape[0])\nimshow(X_train[int(X_train.shape[0]*0.9):][ix])\nplt.show()\nimshow(np.squeeze(Y_train[int(Y_train.shape[0]*0.9):][ix]),cmap = 'gray')\nplt.show()\nimshow(np.squeeze(preds_val[ix]),cmap = 'gray')\nplt.show()","execution_count":230,"outputs":[{"output_type":"error","ename":"IndexError","evalue":"index 10 is out of bounds for axis 0 with size 10","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)","\u001b[0;32m<ipython-input-230-7386bf30830b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Perform a sanity check on some random validation samples\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrandom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrandint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpreds_val\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_train\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX_train\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;36m0.9\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mix\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mY_train\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mY_train\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;36m0.9\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mix\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcmap\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'gray'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mIndexError\u001b[0m: index 10 is out of bounds for axis 0 with size 10"]}]},{"metadata":{"_cell_guid":"a6690535-b2e4-49ac-98d9-7191bfabfb6f","_uuid":"6a34c98de7c6ae473f676a34fe7e099b46764eca"},"cell_type":"markdown","source":""},{"metadata":{"_cell_guid":"59a0af60-a7d7-41ef-a6fe-9e3c72defa07","_uuid":"4f99c1bf852e82b60bd4f982ca0df293f712cdf0","trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"31133f8c-3f40-4dff-8e1d-898d56672332","_uuid":"2e07f6afc4787b068ba714428145dcb3951d718f"},"cell_type":"markdown","source":""},{"metadata":{"_cell_guid":"22fe24a1-7659-4cc9-9d23-211f38e5b99f","_uuid":"089587843ed6a3955fdcb9b23a6ec3bf5d703688","trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"20b6b627-0fd6-425d-888f-da7f39efb124","_uuid":"849184a40a2c9c21506d8b8eb10ad9155fa229e8"},"cell_type":"markdown","source":""},{"metadata":{"_cell_guid":"1ba0ee3a-cca0-4349-83f6-09a1ac6fcb44","_uuid":"ba589f56f5be1e6886bc88f5bf9e7d0a408e4048","trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"collapsed":true,"_cell_guid":"222475b9-3171-461a-90f0-a820a6bd2634","_uuid":"fb5e6f8cca872f1bd7036f6d9ac2ed2cab615536"},"cell_type":"markdown","source":""},{"metadata":{"_cell_guid":"3f5e5a47-6133-4870-976a-a8e4fa7bf46c","_uuid":"2a83eab66bf55194f300953bea5534b6a043130f","trusted":true},"cell_type":"code","source":"### Future:\n    ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Future:\n    * test with an model pretrained on satellite imagery\n    * test rural vs urban\n    * "},{"metadata":{},"cell_type":"markdown","source":""}],"metadata":{"language_info":{"mimetype":"text/x-python","version":"3.6.4","name":"python","codemirror_mode":{"version":3,"name":"ipython"},"nbconvert_exporter":"python","pygments_lexer":"ipython3","file_extension":".py"},"kernelspec":{"name":"python3","language":"python","display_name":"Python 3"}},"nbformat":4,"nbformat_minor":1}