{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Carvana Image Masking Challenge"},{"metadata":{},"cell_type":"markdown","source":"https://www.kaggle.com/c/carvana-image-masking-challenge"},{"metadata":{"trusted":true},"cell_type":"code","source":"IMG_ROWS = 480\nIMG_COLS = 320\n\nTEST_IMG_ROWS = 1918\nTEST_IMG_COLS = 1280\n#import os\n#print(os.listdir(\"../input\"))","execution_count":43,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Загружаем исходные изображения"},{"metadata":{"trusted":true},"cell_type":"code","source":"import cv2\nimport numpy as np\nfrom scipy import ndimage\nfrom glob import glob\nimport random\nimport math\n\nSAMPLE = 5000\n\nPATH_PREFIX = \"../input/\"\ntrain_img_paths = sorted(glob(PATH_PREFIX + 'train/*.jpg'))[:SAMPLE]\ntrain_mask_paths = sorted(glob(PATH_PREFIX + 'train_masks/*.gif'))[:SAMPLE]\n\n\ntrain_imgs = np.array([cv2.resize(ndimage.imread(path), (IMG_ROWS, IMG_COLS))\n                        for path in train_img_paths[:100]])\n\ntrain_masks = np.array([cv2.resize(ndimage.imread(path, mode = 'L'), (IMG_ROWS, IMG_COLS))\n                        for path in train_mask_paths[:100]])\n\ntrain_masks = train_masks.astype(np.float32)\ntrain_masks[train_masks<=127] = 0.\ntrain_masks[train_masks>127] = 1.\ntrain_masks = np.reshape(train_masks, (*train_masks.shape, 1))\n\ndef train_img_generator(train_img_paths, train_mask_paths, batch_size = 5):\n    indexes = [*range(min(len(train_img_paths), len(train_mask_paths)))]\n    random.shuffle(indexes)\n    while True:\n        for i in range(len(indexes)//batch_size):\n            X, y = [], []\n            for j in range(i*batch_size,(i+1)*batch_size):\n                img = ndimage.imread(train_img_paths[indexes[j]])\n                img = cv2.resize(img, (IMG_ROWS, IMG_COLS))\n                img_mask = ndimage.imread(train_mask_paths[indexes[j]], mode = 'L')\n                img_mask = cv2.resize(img_mask, (IMG_ROWS, IMG_COLS))\n                train_mask = np.zeros([*img_mask.shape], np.float32)\n                train_mask[img_mask > 127] = 1.\n                train_mask = np.reshape(train_mask, (*train_mask.shape, 1))\n                y.append(train_mask)\n                X.append(img)\n            yield np.array(X), np.array(y)","execution_count":44,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:16: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n  app.launch_new_instance()\n/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:19: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n","name":"stderr"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"%matplotlib inline\nfrom matplotlib import pyplot as plt\nfig = plt.figure(0, figsize=(20, 20))\nfig.add_subplot(1, 2, 1)\nplt.imshow(train_imgs[0])\nfig.add_subplot(1, 2, 2)\nplt.imshow(np.squeeze(train_masks[0]), cmap='gray')","execution_count":45,"outputs":[{"output_type":"execute_result","execution_count":45,"data":{"text/plain":"<matplotlib.image.AxesImage at 0x7f2e2365d5c0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x1440 with 2 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"## Инициализируем архитектуру U-Net"},{"metadata":{"trusted":true},"cell_type":"code","source":"from keras.layers import Input\nfrom keras.layers import Conv2D\nfrom keras.layers import MaxPooling2D\nfrom keras.layers import Conv2DTranspose\nfrom keras.layers import BatchNormalization\nfrom keras.layers import concatenate\nfrom keras.models import Model\n\ninputs = Input((IMG_COLS, IMG_ROWS, 3))\nbnorm1 = BatchNormalization()(inputs)\nconv1 = Conv2D(32, (3, 3), activation='relu', padding='same')(bnorm1)\nconv1 = Conv2D(32, (3, 3), activation='relu', padding='same')(conv1)\npool1 = MaxPooling2D(pool_size=(2, 2))(conv1)\n\nconv2 = Conv2D(64, (3, 3), activation='relu', padding='same')(pool1)\nconv2 = Conv2D(64, (3, 3), activation='relu', padding='same')(conv2)\npool2 = MaxPooling2D(pool_size=(2, 2))(conv2)\n\nconv3 = Conv2D(128, (3, 3), activation='relu', padding='same')(pool2)\nconv3 = Conv2D(128, (3, 3), activation='relu', padding='same')(conv3)\npool3 = MaxPooling2D(pool_size=(2, 2))(conv3)\n\nconv4 = Conv2D(256, (3, 3), activation='relu', padding='same')(pool3)\nconv4 = Conv2D(256, (3, 3), activation='relu', padding='same')(conv4)\npool4 = MaxPooling2D(pool_size=(2, 2))(conv4)\n\nconv5 = Conv2D(512, (3, 3), activation='relu', padding='same')(pool4)\nconv5 = Conv2D(512, (3, 3), activation='relu', padding='same')(conv5)\n\nup6 = concatenate([Conv2DTranspose(256, (2, 2), strides=(2, 2), padding='same')(conv5), conv4], axis=3)\nconv6 = Conv2D(256, (3, 3), activation='relu', padding='same')(up6)\nconv6 = Conv2D(256, (3, 3), activation='relu', padding='same')(conv6)\n\nup7 = concatenate([Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same')(conv6), conv3], axis=3)\nconv7 = Conv2D(128, (3, 3), activation='relu', padding='same')(up7)\nconv7 = Conv2D(128, (3, 3), activation='relu', padding='same')(conv7)\n\nup8 = concatenate([Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same')(conv7), conv2], axis=3)\nconv8 = Conv2D(64, (3, 3), activation='relu', padding='same')(up8)\nconv8 = Conv2D(64, (3, 3), activation='relu', padding='same')(conv8)\n\nup9 = concatenate([Conv2DTranspose(32, (2, 2), strides=(2, 2), padding='same')(conv8), conv1], axis=3)\nconv9 = Conv2D(32, (3, 3), activation='relu', padding='same')(up9)\nconv9 = Conv2D(32, (3, 3), activation='relu', padding='same')(conv9)\n\nconv10 = Conv2D(1, (1, 1), activation='sigmoid')(conv9)\n\nmodel = Model(inputs=[inputs], outputs=[conv10])","execution_count":46,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model.summary()","execution_count":47,"outputs":[{"output_type":"stream","text":"__________________________________________________________________________________________________\nLayer (type)                    Output Shape         Param #     Connected to                     \n==================================================================================================\ninput_6 (InputLayer)            (None, 320, 480, 3)  0                                            \n__________________________________________________________________________________________________\nbatch_normalization_6 (BatchNor (None, 320, 480, 3)  12          input_6[0][0]                    \n__________________________________________________________________________________________________\nconv2d_96 (Conv2D)              (None, 320, 480, 32) 896         batch_normalization_6[0][0]      \n__________________________________________________________________________________________________\nconv2d_97 (Conv2D)              (None, 320, 480, 32) 9248        conv2d_96[0][0]                  \n__________________________________________________________________________________________________\nmax_pooling2d_21 (MaxPooling2D) (None, 160, 240, 32) 0           conv2d_97[0][0]                  \n__________________________________________________________________________________________________\nconv2d_98 (Conv2D)              (None, 160, 240, 64) 18496       max_pooling2d_21[0][0]           \n__________________________________________________________________________________________________\nconv2d_99 (Conv2D)              (None, 160, 240, 64) 36928       conv2d_98[0][0]                  \n__________________________________________________________________________________________________\nmax_pooling2d_22 (MaxPooling2D) (None, 80, 120, 64)  0           conv2d_99[0][0]                  \n__________________________________________________________________________________________________\nconv2d_100 (Conv2D)             (None, 80, 120, 128) 73856       max_pooling2d_22[0][0]           \n__________________________________________________________________________________________________\nconv2d_101 (Conv2D)             (None, 80, 120, 128) 147584      conv2d_100[0][0]                 \n__________________________________________________________________________________________________\nmax_pooling2d_23 (MaxPooling2D) (None, 40, 60, 128)  0           conv2d_101[0][0]                 \n__________________________________________________________________________________________________\nconv2d_102 (Conv2D)             (None, 40, 60, 256)  295168      max_pooling2d_23[0][0]           \n__________________________________________________________________________________________________\nconv2d_103 (Conv2D)             (None, 40, 60, 256)  590080      conv2d_102[0][0]                 \n__________________________________________________________________________________________________\nmax_pooling2d_24 (MaxPooling2D) (None, 20, 30, 256)  0           conv2d_103[0][0]                 \n__________________________________________________________________________________________________\nconv2d_104 (Conv2D)             (None, 20, 30, 512)  1180160     max_pooling2d_24[0][0]           \n__________________________________________________________________________________________________\nconv2d_105 (Conv2D)             (None, 20, 30, 512)  2359808     conv2d_104[0][0]                 \n__________________________________________________________________________________________________\nconv2d_transpose_21 (Conv2DTran (None, 40, 60, 256)  524544      conv2d_105[0][0]                 \n__________________________________________________________________________________________________\nconcatenate_21 (Concatenate)    (None, 40, 60, 512)  0           conv2d_transpose_21[0][0]        \n                                                                 conv2d_103[0][0]                 \n__________________________________________________________________________________________________\nconv2d_106 (Conv2D)             (None, 40, 60, 256)  1179904     concatenate_21[0][0]             \n__________________________________________________________________________________________________\nconv2d_107 (Conv2D)             (None, 40, 60, 256)  590080      conv2d_106[0][0]                 \n__________________________________________________________________________________________________\nconv2d_transpose_22 (Conv2DTran (None, 80, 120, 128) 131200      conv2d_107[0][0]                 \n__________________________________________________________________________________________________\nconcatenate_22 (Concatenate)    (None, 80, 120, 256) 0           conv2d_transpose_22[0][0]        \n                                                                 conv2d_101[0][0]                 \n__________________________________________________________________________________________________\nconv2d_108 (Conv2D)             (None, 80, 120, 128) 295040      concatenate_22[0][0]             \n__________________________________________________________________________________________________\nconv2d_109 (Conv2D)             (None, 80, 120, 128) 147584      conv2d_108[0][0]                 \n__________________________________________________________________________________________________\nconv2d_transpose_23 (Conv2DTran (None, 160, 240, 64) 32832       conv2d_109[0][0]                 \n__________________________________________________________________________________________________\nconcatenate_23 (Concatenate)    (None, 160, 240, 128 0           conv2d_transpose_23[0][0]        \n                                                                 conv2d_99[0][0]                  \n__________________________________________________________________________________________________\nconv2d_110 (Conv2D)             (None, 160, 240, 64) 73792       concatenate_23[0][0]             \n__________________________________________________________________________________________________\nconv2d_111 (Conv2D)             (None, 160, 240, 64) 36928       conv2d_110[0][0]                 \n__________________________________________________________________________________________________\nconv2d_transpose_24 (Conv2DTran (None, 320, 480, 32) 8224        conv2d_111[0][0]                 \n__________________________________________________________________________________________________\nconcatenate_24 (Concatenate)    (None, 320, 480, 64) 0           conv2d_transpose_24[0][0]        \n                                                                 conv2d_97[0][0]                  \n__________________________________________________________________________________________________\nconv2d_112 (Conv2D)             (None, 320, 480, 32) 18464       concatenate_24[0][0]             \n__________________________________________________________________________________________________\nconv2d_113 (Conv2D)             (None, 320, 480, 32) 9248        conv2d_112[0][0]                 \n__________________________________________________________________________________________________\nconv2d_114 (Conv2D)             (None, 320, 480, 1)  33          conv2d_113[0][0]                 \n==================================================================================================\nTotal params: 7,760,109\nTrainable params: 7,760,103\nNon-trainable params: 6\n__________________________________________________________________________________________________\n","name":"stdout"}]},{"metadata":{},"cell_type":"markdown","source":"## Задаем функцию потерь"},{"metadata":{"trusted":true},"cell_type":"code","source":"from keras import backend as K\nfrom keras.losses import binary_crossentropy\n\nSMOOTH = 1.\n\ndef dice_coef(y_true, y_pred):\n    y_true_f = K.flatten(y_true)\n    y_pred_f = K.flatten(y_pred)\n    intersection = K.sum(y_true_f * y_pred_f)\n    return (2. * intersection + SMOOTH) / (K.sum(y_true_f) + K.sum(y_pred_f) + SMOOTH)\n\ndef bce_dice_loss(y_true, y_pred):\n    return 0.5 * binary_crossentropy(y_true, y_pred) - dice_coef(y_true, y_pred)","execution_count":48,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Запускаем процесс обучения"},{"metadata":{"trusted":true},"cell_type":"code","source":"from keras.optimizers import Adam\nmodel.compile(Adam(lr=1e-4),\n              bce_dice_loss,\n              metrics=[binary_crossentropy, dice_coef])","execution_count":49,"outputs":[]},{"metadata":{"scrolled":false,"trusted":true},"cell_type":"code","source":"steps_per_epoch = 100\nbatch_size = 5\ntrain_gen = train_img_generator(train_img_paths, train_mask_paths, batch_size)\nvalidation_data=(train_imgs[:100], train_masks[:100])\n#model.fit(train_imgs[50:], train_masks[50:],\n#          batch_size=12, epochs=10, \n#          validation_data=(train_imgs[:50], train_masks[:50]))\nmodel.fit_generator(generator=train_gen, \n                    steps_per_epoch=steps_per_epoch,\n                    epochs=100,\n                    validation_data=validation_data)","execution_count":50,"outputs":[{"output_type":"stream","text":"Epoch 1/100\n","name":"stdout"},{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:33: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:35: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n","name":"stderr"},{"output_type":"stream","text":"100/100 [==============================] - 43s 434ms/step - loss: -0.3507 - binary_crossentropy: 0.4617 - dice_coef: 0.5816 - val_loss: -0.7377 - val_binary_crossentropy: 0.1674 - val_dice_coef: 0.8214\nEpoch 2/100\n100/100 [==============================] - 32s 319ms/step - loss: -0.8079 - binary_crossentropy: 0.1371 - dice_coef: 0.8764 - val_loss: -0.8670 - val_binary_crossentropy: 0.0962 - val_dice_coef: 0.9151\nEpoch 3/100\n100/100 [==============================] - 32s 324ms/step - loss: -0.8957 - binary_crossentropy: 0.0738 - dice_coef: 0.9326 - val_loss: -0.9331 - val_binary_crossentropy: 0.0413 - val_dice_coef: 0.9538\nEpoch 4/100\n100/100 [==============================] - 33s 325ms/step - loss: -0.9362 - binary_crossentropy: 0.0441 - dice_coef: 0.9582 - val_loss: -0.9513 - val_binary_crossentropy: 0.0291 - val_dice_coef: 0.9659\nEpoch 5/100\n100/100 [==============================] - 33s 325ms/step - loss: -0.9474 - binary_crossentropy: 0.0360 - dice_coef: 0.9654 - val_loss: -0.9569 - val_binary_crossentropy: 0.0289 - val_dice_coef: 0.9713\nEpoch 6/100\n100/100 [==============================] - 33s 332ms/step - loss: -0.9499 - binary_crossentropy: 0.0354 - dice_coef: 0.9676 - val_loss: -0.9547 - val_binary_crossentropy: 0.0288 - val_dice_coef: 0.9691\nEpoch 7/100\n100/100 [==============================] - 33s 326ms/step - loss: -0.9570 - binary_crossentropy: 0.0297 - dice_coef: 0.9719 - val_loss: -0.9651 - val_binary_crossentropy: 0.0218 - val_dice_coef: 0.9760\nEpoch 8/100\n100/100 [==============================] - 33s 328ms/step - loss: -0.9613 - binary_crossentropy: 0.0270 - dice_coef: 0.9748 - val_loss: -0.9612 - val_binary_crossentropy: 0.0257 - val_dice_coef: 0.9741\nEpoch 9/100\n100/100 [==============================] - 33s 334ms/step - loss: -0.9600 - binary_crossentropy: 0.0285 - dice_coef: 0.9743 - val_loss: -0.9698 - val_binary_crossentropy: 0.0190 - val_dice_coef: 0.9793\nEpoch 10/100\n100/100 [==============================] - 33s 327ms/step - loss: -0.9660 - binary_crossentropy: 0.0230 - dice_coef: 0.9775 - val_loss: -0.9693 - val_binary_crossentropy: 0.0208 - val_dice_coef: 0.9797\nEpoch 11/100\n100/100 [==============================] - 31s 307ms/step - loss: -0.9619 - binary_crossentropy: 0.0275 - dice_coef: 0.9756 - val_loss: -0.4768 - val_binary_crossentropy: 0.4993 - val_dice_coef: 0.7264\nEpoch 12/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9198 - binary_crossentropy: 0.0596 - dice_coef: 0.9496 - val_loss: -0.9603 - val_binary_crossentropy: 0.0258 - val_dice_coef: 0.9732\nEpoch 13/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9628 - binary_crossentropy: 0.0259 - dice_coef: 0.9757 - val_loss: -0.9679 - val_binary_crossentropy: 0.0203 - val_dice_coef: 0.9781\nEpoch 14/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9674 - binary_crossentropy: 0.0228 - dice_coef: 0.9789 - val_loss: -0.9695 - val_binary_crossentropy: 0.0201 - val_dice_coef: 0.9796\nEpoch 15/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9701 - binary_crossentropy: 0.0209 - dice_coef: 0.9805 - val_loss: -0.9724 - val_binary_crossentropy: 0.0177 - val_dice_coef: 0.9812\nEpoch 16/100\n100/100 [==============================] - 32s 316ms/step - loss: -0.9692 - binary_crossentropy: 0.0221 - dice_coef: 0.9802 - val_loss: -0.9716 - val_binary_crossentropy: 0.0188 - val_dice_coef: 0.9810\nEpoch 17/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9701 - binary_crossentropy: 0.0211 - dice_coef: 0.9807 - val_loss: -0.9751 - val_binary_crossentropy: 0.0162 - val_dice_coef: 0.9832\nEpoch 18/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9718 - binary_crossentropy: 0.0199 - dice_coef: 0.9817 - val_loss: -0.9669 - val_binary_crossentropy: 0.0233 - val_dice_coef: 0.9786\nEpoch 19/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9726 - binary_crossentropy: 0.0196 - dice_coef: 0.9824 - val_loss: -0.9765 - val_binary_crossentropy: 0.0158 - val_dice_coef: 0.9844\nEpoch 20/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9754 - binary_crossentropy: 0.0168 - dice_coef: 0.9838 - val_loss: -0.9765 - val_binary_crossentropy: 0.0161 - val_dice_coef: 0.9846\nEpoch 21/100\n100/100 [==============================] - 31s 315ms/step - loss: -0.9747 - binary_crossentropy: 0.0182 - dice_coef: 0.9837 - val_loss: -0.9747 - val_binary_crossentropy: 0.0173 - val_dice_coef: 0.9833\nEpoch 22/100\n100/100 [==============================] - 32s 316ms/step - loss: -0.9772 - binary_crossentropy: 0.0160 - dice_coef: 0.9851 - val_loss: -0.9794 - val_binary_crossentropy: 0.0134 - val_dice_coef: 0.9861\nEpoch 23/100\n100/100 [==============================] - 31s 314ms/step - loss: -0.9757 - binary_crossentropy: 0.0174 - dice_coef: 0.9844 - val_loss: -0.9792 - val_binary_crossentropy: 0.0140 - val_dice_coef: 0.9862\nEpoch 24/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9772 - binary_crossentropy: 0.0162 - dice_coef: 0.9853 - val_loss: -0.9791 - val_binary_crossentropy: 0.0140 - val_dice_coef: 0.9861\nEpoch 25/100\n100/100 [==============================] - 32s 317ms/step - loss: -0.9783 - binary_crossentropy: 0.0154 - dice_coef: 0.9860 - val_loss: -0.9793 - val_binary_crossentropy: 0.0138 - val_dice_coef: 0.9862\nEpoch 26/100\n100/100 [==============================] - 32s 316ms/step - loss: -0.9775 - binary_crossentropy: 0.0162 - dice_coef: 0.9856 - val_loss: -0.9796 - val_binary_crossentropy: 0.0135 - val_dice_coef: 0.9863\nEpoch 27/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9781 - binary_crossentropy: 0.0156 - dice_coef: 0.9859 - val_loss: -0.9808 - val_binary_crossentropy: 0.0129 - val_dice_coef: 0.9873\nEpoch 28/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9786 - binary_crossentropy: 0.0152 - dice_coef: 0.9862 - val_loss: -0.9796 - val_binary_crossentropy: 0.0139 - val_dice_coef: 0.9866\nEpoch 29/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9788 - binary_crossentropy: 0.0153 - dice_coef: 0.9865 - val_loss: -0.9811 - val_binary_crossentropy: 0.0129 - val_dice_coef: 0.9875\nEpoch 30/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9807 - binary_crossentropy: 0.0134 - dice_coef: 0.9874 - val_loss: -0.9820 - val_binary_crossentropy: 0.0125 - val_dice_coef: 0.9882\nEpoch 31/100\n100/100 [==============================] - 32s 315ms/step - loss: -0.9803 - binary_crossentropy: 0.0142 - dice_coef: 0.9874 - val_loss: -0.9764 - val_binary_crossentropy: 0.0172 - val_dice_coef: 0.9850\nEpoch 32/100\n100/100 [==============================] - 32s 315ms/step - loss: -0.9815 - binary_crossentropy: 0.0131 - dice_coef: 0.9881 - val_loss: -0.9829 - val_binary_crossentropy: 0.0113 - val_dice_coef: 0.9885\nEpoch 33/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9804 - binary_crossentropy: 0.0141 - dice_coef: 0.9875 - val_loss: -0.9829 - val_binary_crossentropy: 0.0119 - val_dice_coef: 0.9888\nEpoch 34/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9816 - binary_crossentropy: 0.0132 - dice_coef: 0.9882 - val_loss: -0.9827 - val_binary_crossentropy: 0.0117 - val_dice_coef: 0.9886\nEpoch 35/100\n100/100 [==============================] - 31s 315ms/step - loss: -0.9825 - binary_crossentropy: 0.0124 - dice_coef: 0.9887 - val_loss: -0.9830 - val_binary_crossentropy: 0.0115 - val_dice_coef: 0.9888\nEpoch 36/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9814 - binary_crossentropy: 0.0135 - dice_coef: 0.9882 - val_loss: -0.9837 - val_binary_crossentropy: 0.0108 - val_dice_coef: 0.9891\nEpoch 37/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9815 - binary_crossentropy: 0.0132 - dice_coef: 0.9881 - val_loss: -0.9840 - val_binary_crossentropy: 0.0110 - val_dice_coef: 0.9895\nEpoch 38/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9820 - binary_crossentropy: 0.0128 - dice_coef: 0.9884 - val_loss: -0.9831 - val_binary_crossentropy: 0.0119 - val_dice_coef: 0.9891\nEpoch 39/100\n","name":"stdout"},{"output_type":"stream","text":"100/100 [==============================] - 31s 311ms/step - loss: -0.9821 - binary_crossentropy: 0.0130 - dice_coef: 0.9886 - val_loss: -0.9839 - val_binary_crossentropy: 0.0110 - val_dice_coef: 0.9894\nEpoch 40/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9837 - binary_crossentropy: 0.0114 - dice_coef: 0.9893 - val_loss: -0.9848 - val_binary_crossentropy: 0.0104 - val_dice_coef: 0.9899\nEpoch 41/100\n100/100 [==============================] - 32s 316ms/step - loss: -0.9832 - binary_crossentropy: 0.0121 - dice_coef: 0.9892 - val_loss: -0.9796 - val_binary_crossentropy: 0.0148 - val_dice_coef: 0.9870\nEpoch 42/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9846 - binary_crossentropy: 0.0109 - dice_coef: 0.9900 - val_loss: -0.9856 - val_binary_crossentropy: 0.0095 - val_dice_coef: 0.9903\nEpoch 43/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9833 - binary_crossentropy: 0.0121 - dice_coef: 0.9894 - val_loss: -0.9853 - val_binary_crossentropy: 0.0100 - val_dice_coef: 0.9903\nEpoch 44/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9844 - binary_crossentropy: 0.0112 - dice_coef: 0.9899 - val_loss: -0.9854 - val_binary_crossentropy: 0.0100 - val_dice_coef: 0.9904\nEpoch 45/100\n100/100 [==============================] - 32s 316ms/step - loss: -0.9850 - binary_crossentropy: 0.0107 - dice_coef: 0.9903 - val_loss: -0.9859 - val_binary_crossentropy: 0.0092 - val_dice_coef: 0.9905\nEpoch 46/100\n100/100 [==============================] - 32s 324ms/step - loss: -0.9835 - binary_crossentropy: 0.0120 - dice_coef: 0.9895 - val_loss: -0.9852 - val_binary_crossentropy: 0.0099 - val_dice_coef: 0.9902\nEpoch 47/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9840 - binary_crossentropy: 0.0115 - dice_coef: 0.9897 - val_loss: -0.9858 - val_binary_crossentropy: 0.0099 - val_dice_coef: 0.9908\nEpoch 48/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9846 - binary_crossentropy: 0.0109 - dice_coef: 0.9901 - val_loss: -0.9856 - val_binary_crossentropy: 0.0101 - val_dice_coef: 0.9907\nEpoch 49/100\n100/100 [==============================] - 31s 315ms/step - loss: -0.9847 - binary_crossentropy: 0.0111 - dice_coef: 0.9903 - val_loss: -0.9847 - val_binary_crossentropy: 0.0106 - val_dice_coef: 0.9900\nEpoch 50/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9855 - binary_crossentropy: 0.0101 - dice_coef: 0.9906 - val_loss: -0.9860 - val_binary_crossentropy: 0.0096 - val_dice_coef: 0.9908\nEpoch 51/100\n100/100 [==============================] - 32s 317ms/step - loss: -0.9854 - binary_crossentropy: 0.0105 - dice_coef: 0.9907 - val_loss: -0.9856 - val_binary_crossentropy: 0.0095 - val_dice_coef: 0.9904\nEpoch 52/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9865 - binary_crossentropy: 0.0095 - dice_coef: 0.9912 - val_loss: -0.9871 - val_binary_crossentropy: 0.0086 - val_dice_coef: 0.9914\nEpoch 53/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9852 - binary_crossentropy: 0.0107 - dice_coef: 0.9906 - val_loss: -0.9876 - val_binary_crossentropy: 0.0083 - val_dice_coef: 0.9917\nEpoch 54/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9866 - binary_crossentropy: 0.0095 - dice_coef: 0.9914 - val_loss: -0.9870 - val_binary_crossentropy: 0.0090 - val_dice_coef: 0.9915\nEpoch 55/100\n100/100 [==============================] - 32s 315ms/step - loss: -0.9726 - binary_crossentropy: 0.0218 - dice_coef: 0.9836 - val_loss: -0.9312 - val_binary_crossentropy: 0.0406 - val_dice_coef: 0.9514\nEpoch 56/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9737 - binary_crossentropy: 0.0192 - dice_coef: 0.9834 - val_loss: -0.9846 - val_binary_crossentropy: 0.0104 - val_dice_coef: 0.9898\nEpoch 57/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9822 - binary_crossentropy: 0.0129 - dice_coef: 0.9887 - val_loss: -0.9853 - val_binary_crossentropy: 0.0103 - val_dice_coef: 0.9904\nEpoch 58/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9849 - binary_crossentropy: 0.0108 - dice_coef: 0.9903 - val_loss: -0.9849 - val_binary_crossentropy: 0.0105 - val_dice_coef: 0.9902\nEpoch 59/100\n100/100 [==============================] - 31s 309ms/step - loss: -0.9843 - binary_crossentropy: 0.0117 - dice_coef: 0.9901 - val_loss: -0.9815 - val_binary_crossentropy: 0.0134 - val_dice_coef: 0.9882\nEpoch 60/100\n100/100 [==============================] - 31s 315ms/step - loss: -0.9802 - binary_crossentropy: 0.0142 - dice_coef: 0.9873 - val_loss: -0.9856 - val_binary_crossentropy: 0.0098 - val_dice_coef: 0.9905\nEpoch 61/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9841 - binary_crossentropy: 0.0116 - dice_coef: 0.9899 - val_loss: -0.9853 - val_binary_crossentropy: 0.0102 - val_dice_coef: 0.9904\nEpoch 62/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9866 - binary_crossentropy: 0.0095 - dice_coef: 0.9914 - val_loss: -0.9869 - val_binary_crossentropy: 0.0090 - val_dice_coef: 0.9914\nEpoch 63/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9856 - binary_crossentropy: 0.0104 - dice_coef: 0.9908 - val_loss: -0.9876 - val_binary_crossentropy: 0.0085 - val_dice_coef: 0.9919\nEpoch 64/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9871 - binary_crossentropy: 0.0092 - dice_coef: 0.9917 - val_loss: -0.9879 - val_binary_crossentropy: 0.0084 - val_dice_coef: 0.9921\nEpoch 65/100\n100/100 [==============================] - 31s 314ms/step - loss: -0.9873 - binary_crossentropy: 0.0090 - dice_coef: 0.9918 - val_loss: -0.9873 - val_binary_crossentropy: 0.0088 - val_dice_coef: 0.9917\nEpoch 66/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9868 - binary_crossentropy: 0.0096 - dice_coef: 0.9916 - val_loss: -0.9883 - val_binary_crossentropy: 0.0080 - val_dice_coef: 0.9923\nEpoch 67/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9866 - binary_crossentropy: 0.0096 - dice_coef: 0.9914 - val_loss: -0.9871 - val_binary_crossentropy: 0.0091 - val_dice_coef: 0.9916\nEpoch 68/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9875 - binary_crossentropy: 0.0088 - dice_coef: 0.9920 - val_loss: -0.9882 - val_binary_crossentropy: 0.0083 - val_dice_coef: 0.9923\nEpoch 69/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9872 - binary_crossentropy: 0.0094 - dice_coef: 0.9919 - val_loss: -0.9881 - val_binary_crossentropy: 0.0080 - val_dice_coef: 0.9921\nEpoch 70/100\n100/100 [==============================] - 31s 314ms/step - loss: -0.9881 - binary_crossentropy: 0.0083 - dice_coef: 0.9922 - val_loss: -0.9882 - val_binary_crossentropy: 0.0083 - val_dice_coef: 0.9924\nEpoch 71/100\n100/100 [==============================] - 31s 314ms/step - loss: -0.9878 - binary_crossentropy: 0.0088 - dice_coef: 0.9922 - val_loss: -0.9884 - val_binary_crossentropy: 0.0078 - val_dice_coef: 0.9924\nEpoch 72/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9885 - binary_crossentropy: 0.0081 - dice_coef: 0.9926 - val_loss: -0.9889 - val_binary_crossentropy: 0.0075 - val_dice_coef: 0.9926\nEpoch 73/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9875 - binary_crossentropy: 0.0090 - dice_coef: 0.9920 - val_loss: -0.9892 - val_binary_crossentropy: 0.0073 - val_dice_coef: 0.9928\nEpoch 74/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9883 - binary_crossentropy: 0.0084 - dice_coef: 0.9925 - val_loss: -0.9888 - val_binary_crossentropy: 0.0080 - val_dice_coef: 0.9928\nEpoch 75/100\n100/100 [==============================] - 32s 319ms/step - loss: -0.9882 - binary_crossentropy: 0.0084 - dice_coef: 0.9924 - val_loss: -0.9882 - val_binary_crossentropy: 0.0079 - val_dice_coef: 0.9922\nEpoch 76/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9877 - binary_crossentropy: 0.0089 - dice_coef: 0.9922 - val_loss: -0.9890 - val_binary_crossentropy: 0.0074 - val_dice_coef: 0.9927\nEpoch 77/100\n","name":"stdout"},{"output_type":"stream","text":"100/100 [==============================] - 31s 311ms/step - loss: -0.9878 - binary_crossentropy: 0.0088 - dice_coef: 0.9922 - val_loss: -0.9887 - val_binary_crossentropy: 0.0077 - val_dice_coef: 0.9925\nEpoch 78/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9887 - binary_crossentropy: 0.0081 - dice_coef: 0.9927 - val_loss: -0.9893 - val_binary_crossentropy: 0.0073 - val_dice_coef: 0.9929\nEpoch 79/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9870 - binary_crossentropy: 0.0096 - dice_coef: 0.9918 - val_loss: -0.9871 - val_binary_crossentropy: 0.0086 - val_dice_coef: 0.9915\nEpoch 80/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9872 - binary_crossentropy: 0.0090 - dice_coef: 0.9917 - val_loss: -0.9884 - val_binary_crossentropy: 0.0080 - val_dice_coef: 0.9924\nEpoch 81/100\n100/100 [==============================] - 31s 314ms/step - loss: -0.9882 - binary_crossentropy: 0.0085 - dice_coef: 0.9924 - val_loss: -0.9892 - val_binary_crossentropy: 0.0075 - val_dice_coef: 0.9929\nEpoch 82/100\n100/100 [==============================] - 31s 309ms/step - loss: -0.9891 - binary_crossentropy: 0.0077 - dice_coef: 0.9930 - val_loss: -0.9891 - val_binary_crossentropy: 0.0073 - val_dice_coef: 0.9928\nEpoch 83/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9885 - binary_crossentropy: 0.0083 - dice_coef: 0.9926 - val_loss: -0.9898 - val_binary_crossentropy: 0.0069 - val_dice_coef: 0.9932\nEpoch 84/100\n100/100 [==============================] - 31s 311ms/step - loss: -0.9895 - binary_crossentropy: 0.0075 - dice_coef: 0.9932 - val_loss: -0.9897 - val_binary_crossentropy: 0.0072 - val_dice_coef: 0.9933\nEpoch 85/100\n100/100 [==============================] - 32s 319ms/step - loss: -0.9893 - binary_crossentropy: 0.0076 - dice_coef: 0.9931 - val_loss: -0.9897 - val_binary_crossentropy: 0.0070 - val_dice_coef: 0.9933\nEpoch 86/100\n100/100 [==============================] - 31s 314ms/step - loss: -0.9881 - binary_crossentropy: 0.0087 - dice_coef: 0.9925 - val_loss: -0.9875 - val_binary_crossentropy: 0.0083 - val_dice_coef: 0.9917\nEpoch 87/100\n100/100 [==============================] - 32s 315ms/step - loss: -0.9883 - binary_crossentropy: 0.0084 - dice_coef: 0.9925 - val_loss: -0.9892 - val_binary_crossentropy: 0.0074 - val_dice_coef: 0.9930\nEpoch 88/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9893 - binary_crossentropy: 0.0076 - dice_coef: 0.9931 - val_loss: -0.9899 - val_binary_crossentropy: 0.0070 - val_dice_coef: 0.9934\nEpoch 89/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9887 - binary_crossentropy: 0.0082 - dice_coef: 0.9928 - val_loss: -0.9893 - val_binary_crossentropy: 0.0072 - val_dice_coef: 0.9929\nEpoch 90/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9895 - binary_crossentropy: 0.0073 - dice_coef: 0.9931 - val_loss: -0.9897 - val_binary_crossentropy: 0.0072 - val_dice_coef: 0.9933\nEpoch 91/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9895 - binary_crossentropy: 0.0075 - dice_coef: 0.9933 - val_loss: -0.9901 - val_binary_crossentropy: 0.0066 - val_dice_coef: 0.9934\nEpoch 92/100\n100/100 [==============================] - 31s 309ms/step - loss: -0.9899 - binary_crossentropy: 0.0071 - dice_coef: 0.9935 - val_loss: -0.9897 - val_binary_crossentropy: 0.0070 - val_dice_coef: 0.9932\nEpoch 93/100\n100/100 [==============================] - 31s 306ms/step - loss: -0.9893 - binary_crossentropy: 0.0077 - dice_coef: 0.9931 - val_loss: -0.9904 - val_binary_crossentropy: 0.0064 - val_dice_coef: 0.9936\nEpoch 94/100\n100/100 [==============================] - 31s 309ms/step - loss: -0.9901 - binary_crossentropy: 0.0070 - dice_coef: 0.9937 - val_loss: -0.9901 - val_binary_crossentropy: 0.0070 - val_dice_coef: 0.9936\nEpoch 95/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9898 - binary_crossentropy: 0.0072 - dice_coef: 0.9935 - val_loss: -0.9905 - val_binary_crossentropy: 0.0062 - val_dice_coef: 0.9936\nEpoch 96/100\n100/100 [==============================] - 31s 307ms/step - loss: -0.9892 - binary_crossentropy: 0.0078 - dice_coef: 0.9931 - val_loss: -0.9897 - val_binary_crossentropy: 0.0071 - val_dice_coef: 0.9932\nEpoch 97/100\n100/100 [==============================] - 31s 310ms/step - loss: -0.9428 - binary_crossentropy: 0.0500 - dice_coef: 0.9678 - val_loss: -0.9792 - val_binary_crossentropy: 0.0139 - val_dice_coef: 0.9862\nEpoch 98/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9821 - binary_crossentropy: 0.0124 - dice_coef: 0.9883 - val_loss: -0.9847 - val_binary_crossentropy: 0.0103 - val_dice_coef: 0.9898\nEpoch 99/100\n100/100 [==============================] - 31s 312ms/step - loss: -0.9843 - binary_crossentropy: 0.0114 - dice_coef: 0.9900 - val_loss: -0.9867 - val_binary_crossentropy: 0.0088 - val_dice_coef: 0.9911\nEpoch 100/100\n100/100 [==============================] - 31s 313ms/step - loss: -0.9869 - binary_crossentropy: 0.0091 - dice_coef: 0.9914 - val_loss: -0.9876 - val_binary_crossentropy: 0.0084 - val_dice_coef: 0.9918\n","name":"stdout"},{"output_type":"execute_result","execution_count":50,"data":{"text/plain":"<keras.callbacks.History at 0x7f2e22f7ef28>"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"## Предсказание модели"},{"metadata":{"trusted":true},"cell_type":"code","source":"test_paths = sorted(glob(PATH_PREFIX + 'test/*.jpg'))\n\ndef test_img_generator(test_paths):\n    while True:\n        for path in test_paths:\n            yield np.array([cv2.resize(ndimage.imread(path), (IMG_ROWS, IMG_COLS))])","execution_count":51,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:35: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:33: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n","name":"stderr"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"pred = model.predict_generator(test_img_generator(test_paths[:10]), len(test_paths[:10]))","execution_count":52,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:6: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n  \n","name":"stderr"}]},{"metadata":{},"cell_type":"markdown","source":"## Визуализируем результат"},{"metadata":{"trusted":true},"cell_type":"code","source":"fig = plt.figure(0, figsize=(20, 10))\nk = 5\nfig.add_subplot(2, 2, 1)\nplt.imshow(ndimage.imread(test_paths[k]))\nfig.add_subplot(2, 2, 2)\nplt.imshow(np.squeeze(cv2.resize(pred[k], (TEST_IMG_ROWS, TEST_IMG_COLS))), cmap='gray')\nfig.add_subplot(2, 2, 3)\nplt.imshow(ndimage.imread(test_paths[k+1]))\nfig.add_subplot(2, 2, 4)\nplt.imshow(np.squeeze(cv2.resize(pred[k+1], (TEST_IMG_ROWS, TEST_IMG_COLS))), cmap='gray')","execution_count":53,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:4: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n  after removing the cwd from sys.path.\n/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:8: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n  \n","name":"stderr"},{"output_type":"execute_result","execution_count":53,"data":{"text/plain":"<matplotlib.image.AxesImage at 0x7f2e1ac744e0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x720 with 4 Axes>","image/png":"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\n"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"## Подготавливаем данные для отправки"},{"metadata":{"trusted":true},"cell_type":"code","source":"def rle_encode(mask):\n    pixels = mask.flatten()\n    pixels[0] = 0\n    pixels[-1] = 0\n    runs = np.where(pixels[1:] != pixels[:-1])[0] + 2\n    runs[1::2] = runs[1::2] - runs[:-1:2]\n    return runs","execution_count":54,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"with open('submit.txt', 'w') as dst:\n    dst.write('img,rle_mask\\n')\n    for path in test_paths:\n        img = np.array([cv2.resize(ndimage.imread(path), (IMG_ROWS, IMG_COLS))])\n        pred_mask = model.predict(img)[0]\n        bin_mask = 255. * cv2.resize(pred_mask, (TEST_IMG_ROWS, TEST_IMG_COLS))\n        bin_mask[bin_mask<=127] = 0\n        bin_mask[bin_mask>127] = 1\n        rle = rle_encode(bin_mask.astype(np.uint8))\n        rle = ' '.join(str(x) for x in rle)\n        dst.write('%s,%s\\n' % (path.split('/')[-1], rle))","execution_count":null,"outputs":[{"output_type":"stream","text":"/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:4: DeprecationWarning: `imread` is deprecated!\n`imread` is deprecated in SciPy 1.0.0.\nUse ``matplotlib.pyplot.imread`` instead.\n  after removing the cwd from sys.path.\n","name":"stderr"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"# 20 epochs\n# loss: -0.9891 - binary_crossentropy: 0.0077 - dice_coef: 0.9930\n# val_loss: -0.9889 - val_binary_crossentropy: 0.0085 - val_dice_coef: 0.9932\n# kaggle: 0.9926","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.1"},"widgets":{"state":{},"version":"1.1.2"}},"nbformat":4,"nbformat_minor":1}