{"cells":[{"cell_type":"markdown","metadata":{},"source":["# Defect Detection with Image Segmentation"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":105},"colab_type":"code","executionInfo":{"elapsed":8096,"status":"ok","timestamp":1587630429185,"user":{"displayName":"Sparsh Agarwal","photoUrl":"","userId":"13037694610922482904"},"user_tz":-330},"id":"gR0epZxOBUjl","outputId":"c7c0362b-7eb6-4516-a049-dc4be8eb3a8b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting xmltodict\n"," Downloading https://files.pythonhosted.org/packages/28/fd/30d5c1d3ac29ce229f6bdc40bbc20b28f716e8b363140c26eff19122d8a5/xmltodict-0.12.0-py2.py3-none-any.whl\n","Installing collected packages: xmltodict\n","Successfully installed xmltodict-0.12.0\n"]}],"source":["import os\n","import cv2\n","import shutil\n","\n","import glob\n","import numpy as np\n","import cv2\n","import json\n","import time\n","\n","import matplotlib.image as mpimg\n","from IPython.display import Image\n","%matplotlib inline\n","\n","!pip install xmltodict\n","import xmltodict\n","\n","import matplotlib.pyplot as plt\n","from scipy.ndimage.measurements import label\n","from sklearn.model_selection import train_test_split"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":204},"colab_type":"code","executionInfo":{"elapsed":16465,"status":"ok","timestamp":1587630438328,"user":{"displayName":"Sparsh Agarwal","photoUrl":"","userId":"13037694610922482904"},"user_tz":-330},"id":"UxqLzvmtGHG2","outputId":"5a47e4fb-4955-4ae4-e43e-6438a790d2a0"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2020-04-23 08:27:10-- https://resources.mpi-inf.mpg.de/conference/dagm/2007/Class1_def.zip\n","Resolving resources.mpi-inf.mpg.de (resources.mpi-inf.mpg.de)... 139.19.206.46\n","Connecting to resources.mpi-inf.mpg.de (resources.mpi-inf.mpg.de)|139.19.206.46|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 34556484 (33M) [application/zip]\n","Saving to: ‘Class1_def.zip’\n","\n","Class1_def.zip 100%[===================>] 32.96M 12.9MB/s in 2.6s \n","\n","2020-04-23 08:27:13 (12.9 MB/s) - ‘Class1_def.zip’ saved [34556484/34556484]\n","\n"]}],"source":["!wget https://resources.mpi-inf.mpg.de/conference/dagm/2007/Class1_def.zip\n","!unzip -q Class1_def.zip -d ."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"jabB_dNlGPGC"},"outputs":[],"source":["DATA_DIR = '/content/Class1_def'"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"t1o1rH-UGCv6"},"outputs":[],"source":["def load_coordinates(path_to_coor):\n"," coord_dict = {}\n"," coord_dict_all = {}\n"," with open(path_to_coor) as f:\n"," coordinates = f.read().split('\\n')\n"," for coord in coordinates:\n"," # print(len(coord.split('\\t')))\n"," if len(coord.split('\\t')) == 6:\n"," coord_dict = {}\n"," coord_split = coord.split('\\t')\n"," # print(coord_split)\n"," # print('\\n')\n"," coord_dict['major_axis'] = round(float(coord_split[1]))\n"," coord_dict['minor_axis'] = round(float(coord_split[2]))\n"," coord_dict['angle'] = float(coord_split[3])\n"," coord_dict['x'] = round(float(coord_split[4]))\n"," coord_dict['y'] = round(float(coord_split[5]))\n"," index = int(coord_split[0]) - 1\n"," coord_dict_all[index] = coord_dict\n","\n"," return coord_dict_all\n","\n","def get_mask_seg_ellipse(path_to_img):\n"," # get the image\n","\n"," img = mpimg.imread(path_to_img)\n"," basename = os.path.basename(path_to_img)\n","\n"," # filename_index, e.g. filename = 1.png\n"," # filename_index = 1, for extracting coordinates\n"," filename_index = int(os.path.splitext(basename)[0]) - 1\n"," # print(filename_index)\n","\n"," path_to_coordinates = path_to_img.replace(basename, 'labels.txt')\n"," coordinates = load_coordinates(path_to_coordinates)\n","\n"," mask = np.zeros_like(img)\n"," mask = cv2.ellipse(mask, \n"," (int(coordinates[filename_index]['x']), int(coordinates[filename_index]['y'])),\n"," (int(coordinates[filename_index]['major_axis']), int(coordinates[filename_index]['minor_axis'])),\n"," (coordinates[filename_index]['angle'] / 4.7) * 270,\n"," 0, \n"," 360, \n"," (255, 255, 255), \n"," -1)\n","\n"," mask[mask > 0] = 1.\n","\n"," # print(coordinates[filename_index]['angle'])\n","\n"," return mask\n","\n","def plot_ellipse_seg_test(path_to_img):\n","\n"," plt.figure(figsize=(12, 8))\n"," plt.subplot(1, 2, 1)\n","\n"," plt.imshow(mpimg.imread(path_to_img), cmap='gray')\n"," plt.subplot(1, 2, 2)\n"," mask = get_mask_seg_ellipse(path_to_img)\n"," plt.imshow(mask, cmap='gray')"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":356},"colab_type":"code","executionInfo":{"elapsed":15646,"status":"ok","timestamp":1587630439783,"user":{"displayName":"Sparsh Agarwal","photoUrl":"","userId":"13037694610922482904"},"user_tz":-330},"id":"yX28bYxwGFHk","outputId":"8cd7a2db-f759-4341-a303-12dfb29ba58e"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{"needs_background":"light","tags":[]},"output_type":"display_data"}],"source":["plot_ellipse_seg_test(os.path.join(DATA_DIR, \"2.png\"))"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"4clhCuptG78-"},"outputs":[],"source":["IMAGE_HEIGHT = 512\n","IMAGE_WIDTH = 512\n","IMAGE_CHANNELS = 1\n","IMAGE_SHAPE = (180, 180)\n","PIXEL_DEPTH = 256\n","\n","def load_images_masks(path_to_images, img_type, img_format, resize, ellipse=False):\n","\n"," if not ellipse:\n"," image_names = [x for x in os.listdir(path_to_images) if x.endswith('.xml')]\n"," else:\n"," image_names = [x for x in os.listdir(path_to_images) if x.endswith(img_type)]\n","\n"," image_num = len(image_names)\n"," images_all = np.empty([image_num, resize[0], resize[1], IMAGE_CHANNELS])\n"," labels_all = np.empty([image_num, resize[0], resize[1], IMAGE_CHANNELS])\n","\n"," if not ellipse:\n"," image_names = [x.replace('xml', img_type) for x in image_names]\n","\n"," for image_index in range(image_num):\n"," image_filename = image_names[image_index]\n"," # print(image_filename)\n"," # print(image_filename)\n"," image = mpimg.imread(os.path.join(path_to_images, image_filename), format=img_format)\n"," if ellipse:\n"," mask = get_mask_seg_ellipse(os.path.join(path_to_images, image_filename))\n"," else:\n"," mask = get_mask_seg(os.path.join(path_to_images, image_filename))\n","\n"," if resize:\n"," image = cv2.resize(image, (resize[0], resize[1]))\n"," mask = cv2.resize(mask, (resize[0], resize[1]))\n","\n"," images_all[image_index] = np.reshape(image, (resize[0], resize[1], IMAGE_CHANNELS))\n"," labels_all[image_index] = np.reshape(mask, (resize[0], resize[1], IMAGE_CHANNELS))\n","\n"," return images_all, labels_all"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":51},"colab_type":"code","executionInfo":{"elapsed":15966,"status":"ok","timestamp":1587630441211,"user":{"displayName":"Sparsh Agarwal","photoUrl":"","userId":"13037694610922482904"},"user_tz":-330},"id":"-Ljq44dDHHQS","outputId":"c04c1f24-ab76-4520-a619-e0b6491f969b"},"outputs":[{"name":"stdout","output_type":"stream","text":["(150, 512, 512, 1)\n","(150, 512, 512, 1)\n"]}],"source":["X, y = load_images_masks(DATA_DIR, img_type='png', img_format='gray', resize=(512, 512), ellipse=True)\n","print(X.shape)\n","print(y.shape)"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":51},"colab_type":"code","executionInfo":{"elapsed":15523,"status":"ok","timestamp":1587630441212,"user":{"displayName":"Sparsh Agarwal","photoUrl":"","userId":"13037694610922482904"},"user_tz":-330},"id":"1fCFEulZHZ0J","outputId":"56fb7964-bc68-4a3c-a01f-9196004c916d"},"outputs":[{"name":"stdout","output_type":"stream","text":["(105, 512, 512, 1)\n","(45, 512, 512, 1)\n"]}],"source":["X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)\n","print(X_train.shape)\n","print(X_test.shape)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"7dPhmgC4HZyp"},"outputs":[],"source":["from tensorflow.keras.models import Model\n","from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, UpSampling2D, Lambda, Conv2DTranspose, concatenate\n","from tensorflow.keras.optimizers import Adam\n","from tensorflow.keras.callbacks import ModelCheckpoint, LearningRateScheduler\n","from tensorflow.keras import backend as K\n","from scipy.ndimage.measurements import label\n","import time\n","\n","img_rows = 512\n","img_cols = 512\n","\n","# Defining a small Unet\n","\n","def get_small_unet():\n"," inputs = Input((img_rows, img_cols, 1))\n"," inputs_norm = Lambda(lambda x: x/127.5 - 1.)\n"," conv1 = Conv2D(16, (3, 3), activation='relu', padding='same')(inputs)\n"," conv1 = Conv2D(16, (3, 3), activation='relu', padding='same')(conv1)\n"," pool1 = MaxPooling2D(pool_size=(2, 2))(conv1)\n","\n"," conv2 = Conv2D(32, (3, 3), activation='relu', padding='same')(pool1)\n"," conv2 = Conv2D(32, (3, 3), activation='relu', padding='same')(conv2)\n"," pool2 = MaxPooling2D(pool_size=(2, 2))(conv2)\n","\n"," conv3 = Conv2D(64, (3, 3), activation='relu', padding='same')(pool2)\n"," conv3 = Conv2D(64, (3, 3), activation='relu', padding='same')(conv3)\n"," pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)\n","\n"," conv4 = Conv2D(128, (3, 3), activation='relu', padding='same')(pool3)\n"," conv4 = Conv2D(128, (3, 3), activation='relu', padding='same')(conv4)\n"," pool4 = MaxPooling2D(pool_size=(2, 2))(conv4)\n","\n"," conv5 = Conv2D(256, (3, 3), activation='relu', padding='same')(pool4)\n"," conv5 = Conv2D(256, (3, 3), activation='relu', padding='same')(conv5)\n","\n"," up6 = concatenate([Conv2DTranspose(64, kernel_size=(\n"," 2, 2), strides=(2, 2), padding='same')(conv5), conv4], axis=3)\n"," conv6 = Conv2D(128, (3, 3), activation='relu', padding='same')(up6)\n"," conv6 = Conv2D(128, (3, 3), activation='relu', padding='same')(conv6)\n","\n"," up7 = concatenate([Conv2DTranspose(32, kernel_size=(\n"," 2, 2), strides=(2, 2), padding='same')(conv6), conv3], axis=3)\n"," conv7 = Conv2D(64, (3, 3), activation='relu', padding='same')(up7)\n"," conv7 = Conv2D(64, (3, 3), activation='relu', padding='same')(conv7)\n","\n"," up8 = concatenate([Conv2DTranspose(16, kernel_size=(\n"," 2, 2), strides=(2, 2), padding='same')(conv7), conv2], axis=3)\n"," conv8 = Conv2D(32, (3, 3), activation='relu', padding='same')(up8)\n"," conv8 = Conv2D(32, (3, 3), activation='relu', padding='same')(conv8)\n","\n"," up9 = concatenate([Conv2DTranspose(8, kernel_size=(\n"," 2, 2), strides=(2, 2), padding='same')(conv8), conv1], axis=3)\n"," conv9 = Conv2D(16, (3, 3), activation='relu', padding='same')(up9)\n"," conv9 = Conv2D(16, (3, 3), activation='relu', padding='same')(conv9)\n","\n"," conv10 = Conv2D(1, (1, 1), activation='sigmoid')(conv9)\n","\n"," model = Model(inputs=inputs, outputs=conv10)\n","\n"," return model\n","\n","model = get_small_unet()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"4RsSyr0NIQmJ"},"outputs":[],"source":["def smooth_dice_coeff(smooth=1.):\n","\n"," smooth = float(smooth)\n","\n"," # IOU or dice coeff calculation\n"," def IOU_calc(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","\n"," return 2*(intersection + smooth) / (K.sum(y_true_f) + K.sum(y_pred_f) + smooth)\n","\n"," def IOU_calc_loss(y_true, y_pred):\n"," return -IOU_calc(y_true, y_pred)\n"," return IOU_calc, IOU_calc_loss\n","\n","IOU_calc, IOU_calc_loss = smooth_dice_coeff(0.00001)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"3jnuP2dyIeu6"},"outputs":[],"source":["model.compile(optimizer=Adam(lr=1e-4), loss=IOU_calc_loss, metrics=[IOU_calc])"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"colab_type":"code","executionInfo":{"elapsed":118906,"status":"ok","timestamp":1587630547059,"user":{"displayName":"Sparsh Agarwal","photoUrl":"","userId":"13037694610922482904"},"user_tz":-330},"id":"jPFmMDVGIefg","outputId":"96773346-7a30-434f-985d-c625ce0899f0"},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/50\n","10/10 [==============================] - 3s 315ms/step - loss: -7.0166e-05 - IOU_calc: 7.0166e-05 - val_loss: -5.8381e-04 - val_IOU_calc: 5.8381e-04\n","Epoch 2/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.0064 - IOU_calc: 0.0064 - val_loss: -0.0209 - val_IOU_calc: 0.0209\n","Epoch 3/50\n","10/10 [==============================] - 2s 152ms/step - loss: -0.0592 - IOU_calc: 0.0592 - val_loss: -0.0628 - val_IOU_calc: 0.0628\n","Epoch 4/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.0848 - IOU_calc: 0.0848 - val_loss: -0.0700 - val_IOU_calc: 0.0700\n","Epoch 5/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.1028 - IOU_calc: 0.1028 - val_loss: -0.1135 - val_IOU_calc: 0.1135\n","Epoch 6/50\n","10/10 [==============================] - 2s 156ms/step - loss: -0.1611 - IOU_calc: 0.1611 - val_loss: -0.2546 - val_IOU_calc: 0.2546\n","Epoch 7/50\n","10/10 [==============================] - 2s 152ms/step - loss: -0.2400 - IOU_calc: 0.2400 - val_loss: -0.3197 - val_IOU_calc: 0.3197\n","Epoch 8/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.2867 - IOU_calc: 0.2867 - val_loss: -0.4016 - val_IOU_calc: 0.4016\n","Epoch 9/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.3570 - IOU_calc: 0.3570 - val_loss: -0.3611 - val_IOU_calc: 0.3611\n","Epoch 10/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.2960 - IOU_calc: 0.2960 - val_loss: -0.3960 - val_IOU_calc: 0.3960\n","Epoch 11/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.3571 - IOU_calc: 0.3571 - val_loss: -0.4213 - val_IOU_calc: 0.4213\n","Epoch 12/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.3621 - IOU_calc: 0.3621 - val_loss: -0.4922 - val_IOU_calc: 0.4922\n","Epoch 13/50\n","10/10 [==============================] - 2s 155ms/step - loss: -0.4271 - IOU_calc: 0.4271 - val_loss: -0.5198 - val_IOU_calc: 0.5198\n","Epoch 14/50\n","10/10 [==============================] - 2s 155ms/step - loss: -0.4689 - IOU_calc: 0.4689 - val_loss: -0.5914 - val_IOU_calc: 0.5914\n","Epoch 15/50\n","10/10 [==============================] - 2s 155ms/step - loss: -0.5524 - IOU_calc: 0.5524 - val_loss: -0.7400 - val_IOU_calc: 0.7400\n","Epoch 16/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.7138 - IOU_calc: 0.7138 - val_loss: -0.8270 - val_IOU_calc: 0.8270\n","Epoch 17/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.7689 - IOU_calc: 0.7689 - val_loss: -0.8195 - val_IOU_calc: 0.8195\n","Epoch 18/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8022 - IOU_calc: 0.8022 - val_loss: -0.7868 - val_IOU_calc: 0.7868\n","Epoch 19/50\n","10/10 [==============================] - 2s 152ms/step - loss: -0.8156 - IOU_calc: 0.8156 - val_loss: -0.7445 - val_IOU_calc: 0.7445\n","Epoch 20/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8026 - IOU_calc: 0.8026 - val_loss: -0.7667 - val_IOU_calc: 0.7667\n","Epoch 21/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8206 - IOU_calc: 0.8206 - val_loss: -0.7935 - val_IOU_calc: 0.7935\n","Epoch 22/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8274 - IOU_calc: 0.8274 - val_loss: -0.7666 - val_IOU_calc: 0.7666\n","Epoch 23/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8054 - IOU_calc: 0.8054 - val_loss: -0.8172 - val_IOU_calc: 0.8172\n","Epoch 24/50\n","10/10 [==============================] - 2s 155ms/step - loss: -0.8082 - IOU_calc: 0.8082 - val_loss: -0.7618 - val_IOU_calc: 0.7618\n","Epoch 25/50\n","10/10 [==============================] - 2s 152ms/step - loss: -0.8133 - IOU_calc: 0.8133 - val_loss: -0.7876 - val_IOU_calc: 0.7876\n","Epoch 26/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8291 - IOU_calc: 0.8291 - val_loss: -0.7610 - val_IOU_calc: 0.7610\n","Epoch 27/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8250 - IOU_calc: 0.8250 - val_loss: -0.8068 - val_IOU_calc: 0.8068\n","Epoch 28/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8253 - IOU_calc: 0.8253 - val_loss: -0.7754 - val_IOU_calc: 0.7754\n","Epoch 29/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8321 - IOU_calc: 0.8321 - val_loss: -0.7908 - val_IOU_calc: 0.7908\n","Epoch 30/50\n","10/10 [==============================] - 2s 156ms/step - loss: -0.8316 - IOU_calc: 0.8316 - val_loss: -0.7878 - val_IOU_calc: 0.7878\n","Epoch 31/50\n","10/10 [==============================] - 2s 152ms/step - loss: -0.8275 - IOU_calc: 0.8275 - val_loss: -0.7988 - val_IOU_calc: 0.7988\n","Epoch 32/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8271 - IOU_calc: 0.8271 - val_loss: -0.7977 - val_IOU_calc: 0.7977\n","Epoch 33/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8296 - IOU_calc: 0.8296 - val_loss: -0.7890 - val_IOU_calc: 0.7890\n","Epoch 34/50\n","10/10 [==============================] - 2s 152ms/step - loss: -0.8400 - IOU_calc: 0.8400 - val_loss: -0.7977 - val_IOU_calc: 0.7977\n","Epoch 35/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8357 - IOU_calc: 0.8357 - val_loss: -0.7769 - val_IOU_calc: 0.7769\n","Epoch 36/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8302 - IOU_calc: 0.8302 - val_loss: -0.8099 - val_IOU_calc: 0.8099\n","Epoch 37/50\n","10/10 [==============================] - 2s 151ms/step - loss: -0.8318 - IOU_calc: 0.8318 - val_loss: -0.7940 - val_IOU_calc: 0.7940\n","Epoch 38/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8350 - IOU_calc: 0.8350 - val_loss: -0.7905 - val_IOU_calc: 0.7905\n","Epoch 39/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8384 - IOU_calc: 0.8384 - val_loss: -0.7944 - val_IOU_calc: 0.7944\n","Epoch 40/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8360 - IOU_calc: 0.8360 - val_loss: -0.8021 - val_IOU_calc: 0.8021\n","Epoch 41/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8419 - IOU_calc: 0.8419 - val_loss: -0.8070 - val_IOU_calc: 0.8070\n","Epoch 42/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8406 - IOU_calc: 0.8406 - val_loss: -0.8034 - val_IOU_calc: 0.8034\n","Epoch 43/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8370 - IOU_calc: 0.8370 - val_loss: -0.8049 - val_IOU_calc: 0.8049\n","Epoch 44/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8501 - IOU_calc: 0.8501 - val_loss: -0.8048 - val_IOU_calc: 0.8048\n","Epoch 45/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8439 - IOU_calc: 0.8439 - val_loss: -0.8233 - val_IOU_calc: 0.8233\n","Epoch 46/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8424 - IOU_calc: 0.8424 - val_loss: -0.7956 - val_IOU_calc: 0.7956\n","Epoch 47/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8476 - IOU_calc: 0.8476 - val_loss: -0.8246 - val_IOU_calc: 0.8246\n","Epoch 48/50\n","10/10 [==============================] - 2s 154ms/step - loss: -0.8393 - IOU_calc: 0.8393 - val_loss: -0.8277 - val_IOU_calc: 0.8277\n","Epoch 49/50\n","10/10 [==============================] - 2s 153ms/step - loss: -0.8331 - IOU_calc: 0.8331 - val_loss: -0.7881 - val_IOU_calc: 0.7881\n","Epoch 50/50\n","10/10 [==============================] - 2s 152ms/step - loss: -0.8450 - IOU_calc: 0.8450 - val_loss: -0.8035 - val_IOU_calc: 0.8035\n"]}],"source":["history = model.fit(X_train, y_train, batch_size=10, epochs=50, verbose=1, validation_split=0.1)"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":308},"colab_type":"code","executionInfo":{"elapsed":118310,"status":"ok","timestamp":1587630547063,"user":{"displayName":"Sparsh Agarwal","photoUrl":"","userId":"13037694610922482904"},"user_tz":-330},"id":"tCwI47g4IeeR","outputId":"8f2c4daf-f82c-4413-9690-a770e2e3bb06"},"outputs":[{"data":{"text/plain":[""]},"execution_count":13,"metadata":{"tags":[]},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["
"]},"metadata":{"needs_background":"light","tags":[]},"output_type":"display_data"}],"source":["plt.figure(figsize=(20, 5))\n","plt.plot(model.history.history['loss'], label='Train loss')\n","plt.plot(model.history.history['val_loss'], label='Val loss')\n","plt.xlabel('Epochs')\n","plt.ylabel('Loss')\n","plt.legend()"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":310},"colab_type":"code","executionInfo":{"elapsed":117647,"status":"ok","timestamp":1587630547064,"user":{"displayName":"Sparsh Agarwal","photoUrl":"","userId":"13037694610922482904"},"user_tz":-330},"id":"-PyfBLv8IuEE","outputId":"8f72988a-b094-4a86-e207-5659bad90b14"},"outputs":[{"data":{"text/plain":[""]},"execution_count":14,"metadata":{"tags":[]},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["
"]},"metadata":{"needs_background":"light","tags":[]},"output_type":"display_data"}],"source":["plt.figure(figsize=(20, 5))\n","plt.plot(model.history.history['IOU_calc'], label='Train IOU')\n","plt.plot(model.history.history['val_IOU_calc'], label='Val IOU')\n","plt.xlabel('Epochs')\n","plt.ylabel('IOU')\n","plt.legend()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"kSvCKckQIuBI"},"outputs":[],"source":["predict = model.predict(X_test)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"wFC0veaLIt85"},"outputs":[],"source":["def predict_evaluation(pred, image, label):\n"," # transform gray image to rgb\n"," img = np.array(image, np.uint8)\n"," rgb_img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)\n"," # scale pred and mask's pixel range to 0~255\n"," im_label = np.array(255*label, dtype=np.uint8)\n"," im_pred = np.array(255*pred, dtype=np.uint8)\n","\n"," # transform both of them to rgb\n"," rgb_label = cv2.cvtColor(im_label, cv2.COLOR_GRAY2RGB)\n"," rgb_pred = cv2.cvtColor(im_pred, cv2.COLOR_GRAY2RGB)\n","\n"," rgb_label[:, :, 1:3] = 0*rgb_label[:, :, 1:2]\n"," rgb_pred[:, :, 0] = 0*rgb_pred[:, :, 0]\n"," rgb_pred[:, :, 2] = 0*rgb_pred[:, :, 2]\n","\n"," img_pred = cv2.addWeighted(rgb_img, 1, rgb_pred, 0.3, 0)\n"," img_label = cv2.addWeighted(rgb_img, 1, rgb_label, 0.3, 0)\n","\n"," plt.figure(figsize=(10, 10))\n","\n"," plt.subplot(1, 3, 1)\n"," plt.imshow(rgb_img)\n"," plt.title('Original image')\n"," plt.axis('off')\n"," plt.subplot(1, 3, 2)\n"," plt.imshow(img_pred)\n"," plt.title('Prediction')\n"," plt.axis('off')\n"," plt.subplot(1, 3, 3)\n"," plt.imshow(img_label)\n"," plt.title('Ground truth')\n"," plt.axis('off')"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":211},"colab_type":"code","executionInfo":{"elapsed":4311,"status":"ok","timestamp":1587631006932,"user":{"displayName":"Sparsh Agarwal","photoUrl":"","userId":"13037694610922482904"},"user_tz":-330},"id":"L465s6exI2Cv","outputId":"c9a6511d-bb11-4add-ff08-48dbfe7eea68"},"outputs":[{"data":{"image/png":"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","text/plain":["
"]},"metadata":{"needs_background":"light","tags":[]},"output_type":"display_data"}],"source":["predict_evaluation(predict[0,:,:,0], X_test[0,:,:,0], y_test[0,:,:,0])"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":211},"colab_type":"code","executionInfo":{"elapsed":2335,"status":"ok","timestamp":1587631306310,"user":{"displayName":"Sparsh 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","text/plain":["
"]},"metadata":{"needs_background":"light","tags":[]},"output_type":"display_data"}],"source":["predict_evaluation(predict[1,:,:,0], X_test[1,:,:,0], y_test[1,:,:,0])"]},{"cell_type":"code","execution_count":19,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":211},"colab_type":"code","executionInfo":{"elapsed":2311,"status":"ok","timestamp":1587631306313,"user":{"displayName":"Sparsh 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","text/plain":["
"]},"metadata":{"needs_background":"light","tags":[]},"output_type":"display_data"}],"source":["predict_evaluation(predict[2,:,:,0], X_test[2,:,:,0], y_test[2,:,:,0])"]},{"cell_type":"markdown","metadata":{"colab_type":"text","id":"RdJhuVhgCBPU"},"source":["### Helper functions"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"ckFpS97iCAR2"},"outputs":[],"source":["def get_coordinates(path_to_label, xml):\n"," with open(path_to_label, encoding='utf-8') as f:\n"," if xml:\n"," label_xml = xmltodict.parse(f.read())\n","\n"," # print(type(label_xml))\n"," # print(label_xml)\n","\n"," coordinates_object = label_xml['annotation']['object']\n"," else:\n"," label_txt = f.read()\n"," coordinates_object = label_txt.strip().split('\\n')\n","\n"," return coordinates_object\n","\n","\n","\n","\n","def get_image(path_to_image):\n"," return mpimg.imread(path_to_image)\n","\n","\n","def separate_xml_files(path_to_images):\n"," file_basenames = [os.path.splitext(x)[0] for x in os.listdir(path_to_images) if x.endswith('xml')]\n"," image_directory = path_to_images.split('/')[-1]\n"," new_image_directory = image_directory + '_xml'\n"," print('image_directory {}'.format(image_directory))\n"," print('new image directory {}'.format(new_image_directory))\n"," # directory_newname = os.path.basename(path_to_images) + '_xml'\n"," # print(directory_newname)\n"," # os.makedirs(directory_newname)\n"," for basename in file_basenames:\n"," # print(basename)\n"," original_img = os.path.join(path_to_images, basename)\n"," remove_img = original_img.replace(image_directory, new_image_directory)\n"," print(remove_img)\n"," shutil.copy('{}.bmp'.format(original_img), '{}.bmp'.format(remove_img))\n"," shutil.copy('{}.xml'.format(original_img), '{}.xml'.format(remove_img))"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"gwwF04uHCUq-"},"outputs":[],"source":["def xml_to_kitti(path_to_xml):\n"," # defect_type = os.path.dirname(path_to_xml).split('/')[-1]\n","\n"," for xml_file in glob.glob('{}/*.xml'.format(path_to_xml)):\n"," with open(xml_file) as f:\n"," label_in_xml = xmltodict.parse(f.read())['annotation']['object']\n","\n"," root_name = os.path.splitext(os.path.basename(xml_file))[0] + '.txt'\n"," path_to_output = os.path.join(path_to_xml, root_name)\n"," f_out = open(path_to_output, 'w')\n","\n"," # print('writing file: {}'.format(root_name))\n"," if type(label_in_xml) is list:\n"," # return label_in_xml\n"," for bbox_object in label_in_xml:\n"," bbox = bbox_object['bndbox']\n"," defect_type = bbox_object['name']\n"," f_out.write('{} 0 0 0 {} {} {} {} 0 0 0 0 0 0 0'.format(defect_type,\n"," bbox['xmin'],\n"," bbox['ymin'],\n"," bbox['xmax'],\n"," bbox['ymax']))\n"," f_out.write('\\n')\n"," else:\n"," bbox = label_in_xml['bndbox']\n"," defect_type = label_in_xml['name']\n"," f_out.write('{} 0 0 0 {} {} {} {} 0 0 0 0 0 0 0'.format(defect_type,\n"," bbox['xmin'],\n"," bbox['ymin'],\n"," bbox['xmax'],\n"," bbox['ymax']))\n"," f_out.close()\n","\n","\n","def get_mask_seg(path_to_img, xml=True):\n"," '''create image for segmentation application\n","\n"," Arg:\n"," img (numpy array): original grayscale or color rgb image\n"," coord_min (tuple): (xmin, ymin)\n"," coord_max (tuple): (xmax, ymax)\n","\n"," Return:\n","\n"," Notes:\n"," '''\n","\n"," img = mpimg.imread(path_to_img)\n","\n"," img_mask = np.zeros_like(img[:, :])\n","\n"," if xml:\n"," path_to_xml = path_to_img.replace('bmp', 'xml')\n"," # print('path_to_xml: {}'.format(path_to_xml))\n"," coor_obj = get_coordinates(path_to_xml, xml)\n","\n"," # if there are more than 1 bounding boxes\n"," if type(coor_obj) is list:\n"," for i in range(len(coor_obj)):\n"," xmin = int(coor_obj[i]['bndbox']['xmin'])\n"," ymin = int(coor_obj[i]['bndbox']['ymin'])\n"," xmax = int(coor_obj[i]['bndbox']['xmax'])\n"," ymax = int(coor_obj[i]['bndbox']['ymax'])\n","\n"," img_mask[ymin:ymax, xmin:xmax] = 1.\n"," else:\n"," # there is only one bounding box\n"," # print('test')\n"," xmin = int(coor_obj['bndbox']['xmin'])\n"," ymin = int(coor_obj['bndbox']['ymin'])\n"," xmax = int(coor_obj['bndbox']['xmax'])\n"," ymax = int(coor_obj['bndbox']['ymax'])\n","\n"," img_mask[ymin:ymax, xmin:xmax] = 1.\n","\n"," return img_mask\n","\n","\n","\n","\n","def get_mask_seg_polygon(path_to_img, gray=True):\n"," img = mpimg.imread(path_to_img)\n"," \n"," if not gray:\n"," img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)\n"," \n"," basename = os.path.basename(path_to_img)\n"," \n"," path_to_json = path_to_img.replace('bmp', 'json')\n"," \n"," # print(path_to_json)\n"," \n"," with open(path_to_json) as json_file:\n"," json_get = json.load(json_file)\n"," pts_list = [np.array(pts['points'], np.int32) for pts in json_get['shapes']]\n"," \n"," \n"," # return np.array(pts, np.int32)\n"," \n"," mask = np.zeros_like(img)\n"," \n"," # rgb_pred = cv2.cvtColor(im_pred, cv2.COLOR_GRAY2RGB)\n"," # return mask\n"," mask = cv2.fillPoly(mask, pts_list, (255, 255, 255))\n"," \n"," mask[mask > 0] = 1.\n"," \n"," return mask"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"_ykeCG2WCd3h"},"outputs":[],"source":["def plot_ellipse(raw_img, coordinates):\n"," \"\"\"plot image with ellipse contour\n","\n","\n"," \"\"\"\n","\n"," img_copy = raw_img.copy()\n","\n"," # return img_copy\n","\n"," return_img = cv2.ellipse(img_copy,\n"," (coordinates['x'], coordinates['y']),\n"," (coordinates['major_axis'], coordinates['minor_axis']),\n"," coordinates['angle'] * 90,\n"," # -90,\n"," 0,\n"," 360,\n"," (0, 0, 0),\n"," 2)\n","\n"," plt.imshow(return_img, cmap='gray')\n"," print('angle: {}'.format(coordinates['angle']))\n"," print('angle(degree): {}'.format(90 * coordinates['angle']))\n","\n","\n"," return return_img\n","\n","\n","\n","def plot_bbox(path_to_image, xml):\n"," '''plot bbox on raw image\n","\n"," Args:\n"," raw_img (numpy array):\n"," coordinates (dict):\n","\n"," Return:\n","\n"," '''\n"," img = mpimg.imread(path_to_image)\n","\n"," if xml:\n"," path_to_label = path_to_image.replace('.bmp', '.xml')\n"," # print(path_to_label)\n"," coordinates_object = get_coordinates(path_to_label, xml=True)\n"," else:\n"," path_to_label = path_to_image.replace('.bmp', '.txt')\n"," # print(path_to_label)\n"," coordinates_object = get_coordinates(path_to_label, xml=False)\n"," # return coordinates_object\n"," # return coordinates_object\n","\n"," img_copy = img.copy()\n"," if type(coordinates_object) is list:\n"," print('{} bounding boxes'.format(len(coordinates_object)))\n"," for i in range(len(coordinates_object)):\n"," if xml:\n"," coordinates = coordinates_object[i]['bndbox']\n","\n"," print('Defect type: {}'.format(coordinates_object[i]['name']))\n"," print('xmin: {} ymin: {} xmax: {} ymax:{}'.format(int(coordinates['xmin']),\n"," int(coordinates['ymin']),\n"," int(coordinates['xmax']),\n"," int(coordinates['ymax'])))\n","\n"," return_img = cv2.rectangle(img_copy, (int(coordinates['xmin']), int(coordinates['ymin'])),\n"," (int(coordinates['xmax']), int(coordinates['ymax'])),\n"," (255, 0, 0),5)\n","\n","\n"," else:\n"," # return coordinates_object\n"," # print(coordinates_object)\n"," print('Defect type: {}'.format(coordinates_object[i].split()[0]))\n"," print('xmin: {} ymin: {} xmax: {} ymax:{}'.format(int(coordinates_object[i].split()[4]),\n"," int(coordinates_object[i].split()[5]),\n"," int(coordinates_object[i].split()[6]),\n"," int(coordinates_object[i].split()[7])))\n","\n"," return_img = cv2.rectangle(img_copy, (int(coordinates_object[i].split()[4]),\n"," int(coordinates_object[i].split()[5])),\n"," (int(coordinates_object[i].split()[6]),\n"," int(coordinates_object[i].split()[7])),\n"," (255, 0, 0), 5)\n"," else:\n"," coordinates = coordinates_object['bndbox']\n"," print('1 bounding box')\n"," print('Defect type: {}'.format(coordinates_object['name']))\n"," print('xmin: {} ymin: {} xmax: {} ymax:{}'.format(int(coordinates['xmin']),\n"," int(coordinates['ymin']),\n"," int(coordinates['xmax']),\n"," int(coordinates['ymax'])))\n"," return_img = cv2.rectangle(img_copy, (int(coordinates['xmin']), int(coordinates['ymin'])),\n"," (int(coordinates['xmax']), int(coordinates['ymax'])),\n"," (255, 0, 0),5)\n"," plt.imshow(return_img, cmap='gray')\n","\n"," return return_img\n","\n","\n","def plot_bbox_seg_test(path_to_img, xml=True):\n"," \"\"\"plot bbox and seg\n","\n"," Args:\n"," path_to_img (str): path to image\n"," xml (boolean): specified label data, xml or txt\n","\n"," Return: None\n","\n"," Notes:\n"," \"\"\"\n"," plt.figure(figsize=(20, 20))\n"," plt.subplot(1, 2, 1)\n"," test = plot_bbox(path_to_img, xml=True)\n"," plt.subplot(1, 2, 2)\n"," img_mask = get_mask_seg(path_to_img, xml=True)\n"," plt.imshow(img_mask, cmap='gray')\n"," \n","def plot_polygon_seg_test(path_to_img, gray=True):\n","\n"," plt.figure(figsize=(30, 20))\n"," plt.subplot(1, 3, 1)\n"," \n"," raw_img = mpimg.imread(path_to_img)\n"," if gray:\n"," raw_img = cv2.cvtColor(raw_img, cv2.COLOR_GRAY2RGB)\n"," plt.imshow(raw_img)\n"," plt.subplot(1, 3, 2)\n"," mask = get_mask_seg_polygon(path_to_img)\n"," im_mask = np.array(255*mask, dtype=np.uint8)\n"," rgb_mask = cv2.cvtColor(im_mask, cv2.COLOR_GRAY2RGB)\n"," rgb_mask[:,:,1:3] = 0*rgb_mask[:,:,1:2]\n"," \n"," plt.imshow(mask, cmap='gray')\n"," \n"," img_mask = cv2.addWeighted(raw_img, 1, rgb_mask, 0.8, 0)\n"," \n"," plt.subplot(1, 3, 3)\n"," plt.imshow(img_mask)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"m-jR8IxBCyCM"},"outputs":[],"source":["def load_images(path_to_images, shape=(256, 256), filename_index=True):\n","\n"," # get image paths\n"," image_files = [x for x in os.listdir(path_to_images) if (os.path.splitext(x)[1] == '.bmp') or\n"," (os.path.splitext(x)[1] == '.png')]\n"," dataset = np.ndarray(shape=(len(image_files),\n"," shape[0],\n"," shape[1]),\n"," dtype=np.float32)\n","\n"," # fill in images into numpy array (tensor)\n"," file_ext = os.path.splitext(image_files[0])[1]\n","\n"," # print(file_ext)\n"," for index, image_path in enumerate(glob.glob(path_to_images + '*{}'.format(file_ext))):\n"," # print(image_path)\n"," rgb_image = cv2.imread(image_path)\n"," # print(rgb_image.shape)\n"," gray_image = cv2.cvtColor(rgb_image, cv2.COLOR_BGR2GRAY)\n"," image_data = (gray_image.astype(float) - PIXEL_DEPTH) / PIXEL_DEPTH\n","\n"," if not filename_index:\n"," dataset[index, :, :] = image_data\n"," else:\n"," file_index = int(os.path.splitext(os.path.basename(image_path))[0]) - 1\n"," # print(file_index)\n"," dataset[file_index, :, :] = image_data\n"," # print(file_index)\n"," return dataset\n","\n","\n","def batch_generator(path_to_images, batch_size, is_training, augment, resize):\n"," \"\"\"Genetate training/testing image\n","\n"," Args:\n"," path_to_image (string):\n"," batch_size (int):\n"," is_training (boolean):\n"," augment (boolean):\n","\n"," Return:\n"," yield batch imagese\n"," \"\"\"\n","\n"," # image_num = len([x for x in os.listdir(path_to_images) if x.endswith('bmp')])\n"," image_names = [x for x in os.listdir(path_to_images) if x.endswith('bmp')]\n"," image_num = len(image_names)\n"," batch_images = np.empty([batch_size, IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS])\n"," batch_masks = np.empty([batch_size, IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS])\n","\n"," while True:\n"," i = 0\n"," for image_index in np.random.permutation(image_num):\n"," if is_training:\n"," if augment:\n"," image = augment(path_to_images, image_names[image_index])\n"," else:\n"," image = mpimg.imread(os.path.join(path_to_images, image_names[image_index]))\n","\n"," mask = get_mask_seg(os.path.join(path_to_images, image_names[image_index]), xml=True)\n"," if resize:\n"," image = cv2.resize(image, (resize[0], resize[1]))\n"," mask = cv2.resize(mask, (resize[0], resize[1]))\n"," batch_images[i] = np.reshape(image, (IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS))\n"," batch_masks[i] = np.reshape(mask, (IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS))\n"," else:\n"," image = mpimg.imread(os.path.join(path_to_images, image_names[image_index]))\n"," mask = get_mask_seg(os.path.join(path_to_images, image_names[image_index]), xml=True)\n"," if resize:\n"," image = cv2.resize(image, (resize[0], resize[1]))\n"," mask = cv2.resize(mask, (resize[0], resize[1]))\n"," batch_images[i] = np.reshape(image, (IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS))\n"," batch_masks[i] = np.reshape(mask, (IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS))\n"," i += 1\n"," if i == batch_size:\n"," break\n","\n"," yield batch_images, batch_masks\n","\n","\n","def load_test_images(path_to_images, img_type, img_format, resize, ellipse=False):\n"," image_names = [x for x in os.listdir(path_to_images) if x.endswith(img_type)]\n"," image_num = len(image_names)\n"," images_all = np.empty([image_num, IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS])\n"," # labels_all = np.empty([image_num, IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS])\n","\n"," for image_index in range(image_num):\n"," image_filename = image_names[image_index]\n"," # print(image_filename)\n"," image = mpimg.imread(os.path.join(path_to_images, image_filename), format=img_format)\n"," # mask = get_mask_seg_ellipse(os.path.join(path_to_images, image_filename))\n","\n"," if resize:\n"," image = cv2.resize(image, (resize[0], resize[1]))\n","\n"," images_all[image_index] = np.reshape(image, (IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS))\n"," #labels_all[image_index] = np.reshape(mask, (IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS))\n","\n"," return images_all\n","\n","\n","def load_ok_images(path_to_images, img_type, img_format, resize, ellipse=False):\n"," image_names = [x for x in os.listdir(path_to_images) if not x.endswith('xml')]\n","\n"," image_num = len(image_names)\n"," images_all = np.empty([image_num, resize[0], resize[1], IMAGE_CHANNELS])\n"," # labels_all = np.empty([image_num, IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS])\n"," # images_names = [x.replace('xml', 'bmp')]\n","\n"," for image_index in range(image_num):\n","\n"," image_filename = image_names[image_index]\n"," # print(image_filename)\n"," image = mpimg.imread(os.path.join(path_to_images, image_filename), format=img_format)\n"," # mask = get_mask_seg_ellipse(os.path.join(path_to_images, image_filename))\n","\n"," if resize:\n"," image = cv2.resize(image, (resize[0], resize[1]))\n"," # print(image.shape)\n"," images_all[image_index] = np.reshape(image, (resize[0], resize[1], IMAGE_CHANNELS))\n"," #labels_all[image_index] = np.reshape(mask, (IMAGE_HEIGHT, IMAGE_WIDTH, IMAGE_CHANNELS))\n","\n"," return images_all, image_names\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"OB8LdBrhDMrt"},"outputs":[],"source":["def load_data(args):\n"," '''\n"," '''\n"," defect_imgs = load_images(args)\n","\n"," X_train, X_valid = train_test_split()\n","\n"," return X_train, X_valid\n","\n","\n","def build_model():\n"," '''\n"," '''\n"," with tf.name_scope('encoder'):\n"," x = Convolution2D(128, (1, 1), activation='elu', padding='same')(input_img)\n"," x = MaxPooling2D((2, 2), padding='same')(x)\n"," x = Convolution2D(96, (3, 3), activation='elu', padding='same')(x)\n"," x = MaxPooling2D((2, 2), padding='same')(x)\n"," x = Convolution2D(80, (3, 3), activation='elu', padding='same')(x)\n"," x = MaxPooling2D((2, 2), padding='same')(x)\n"," x = Convolution2D(64, (1, 1), activation='elu', padding='same')(x)\n"," x = MaxPooling2D((2, 2), padding='same')(x)\n"," x = Convolution2D(48, (3, 3), activation='elu', padding='same')(x)\n"," x = MaxPooling2D((2, 2), padding='same')(x)\n"," x = Convolution2D(36, (3, 3), activation='elu', padding='same')(x)\n"," encoded = MaxPooling2D((2, 2), padding='same')(x)\n"," with tf.name_scope('decoder'):\n"," x = Convolution2D(36, (3, 3), activation='elu', padding='same')(encoded)\n"," x = UpSampling2D((2, 2))(x)\n"," x = Convolution2D(48, (3, 3), activation='elu', padding='same')(x)\n"," x = UpSampling2D((2, 2))(x)\n"," x = Convolution2D(64, (1, 1), activation='elu', padding='same')(x)\n"," x = UpSampling2D((2, 2))(x)\n"," x = Convolution2D(80, (3, 3), activation='elu', padding='same')(x)\n"," x = UpSampling2D((2, 2))(x)\n"," x = Convolution2D(96, (3, 3), activation='elu', padding='same')(x)\n"," x = UpSampling2D((2, 2))(x)\n"," x = Convolution2D(128, (1, 1), activation='elu', padding='same')(x)\n"," x = UpSampling2D((2, 2))(x)\n"," decoded = Convolution2D(1, (3, 3), activation='sigmoid', padding='same')(x)\n","\n"," autoencoder = Model(input_img, decoded)\n"," autoencoder.compile(optimizer='nadam', loss='mean_squared_error')\n","\n"," return model\n","\n","\n","def build_small_unet(img_rows, img_cols):\n"," \"\"\"build u-net model\n","\n"," Args:\n"," img_rows (int):\n"," img_cols (int):\n","\n"," Return:\n","\n"," Notes:\n"," \"\"\"\n"," inputs = Input((img_rows, img_cols, 1))\n"," inputs_norm = Lambda(lambda x: x / 127.5 - 1.)\n"," conv1 = Conv2D(8, (3, 3), activation='relu', padding='same')(inputs)\n"," conv1 = Conv2D(8, (3, 3), activation='relu', padding='same')(conv1)\n"," pool1 = MaxPooling2D(pool_size=(2, 2))(conv1)\n","\n"," conv2 = Conv2D(16, (3, 3), activation='relu', padding='same')(pool1)\n"," conv2 = Conv2D(16, (3, 3), activation='relu', padding='same')(conv2)\n"," pool2 = MaxPooling2D(pool_size=(2, 2))(conv2)\n","\n"," conv3 = Conv2D(32, (3, 3), activation='relu', padding='same')(pool2)\n"," conv3 = Conv2D(32, (3, 3), activation='relu', padding='same')(conv3)\n"," pool3 = MaxPooling2D(pool_size=(2, 2))(conv3)\n","\n"," conv4 = Conv2D(64, (3, 3), activation='relu', padding='same')(pool3)\n"," conv4 = Conv2D(64, (3, 3), activation='relu', padding='same')(conv4)\n"," pool4 = MaxPooling2D(pool_size=(2, 2))(conv4)\n","\n"," conv5 = Conv2D(128, (3, 3), activation='relu', padding='same')(pool4)\n"," conv5 = Conv2D(128, (3, 3), activation='relu', padding='same')(conv5)\n","\n"," up6 = merge([UpSampling2D(size=(2, 2))(conv5), conv4)], mode = 'concat', concat_axis = 3)\n"," conv6=Conv2D(64, (3, 3), activation = 'relu', padding = 'same')(up6)\n"," conv6=Conv2D(64, (3, 3), activation = 'relu', padding = 'same')(conv6)\n","\n"," up7=merge([UpSampling2D(size=(2, 2)(conv6)), conv3], mode = 'concat', concat_axis = 3)\n"," conv7=Conv2D(32, (3, 3), activation = 'relu', padding = 'same')(up7)\n"," conv7=Conv2D(32, (3, 3), activation = 'relu', padding = 'same')(conv7)\n","\n"," up8=merge([UpSampling2D(size=(2, 2))(conv7), conv2], mode = 'concat', concat_axis = 3)\n"," conv8=Conv2D(16, (3, 3), activation = 'relu', padding = 'same')(up8)\n"," conv8=Conv2D(16, (3, 3), activation = 'relu', padding = 'same')(conv8)\n","\n"," up9=merge([UpSampling2D(size=(2, 2))(conv8), conv1], model = 'concat', concat_axis = 3)\n"," conv9=Conv2D(8, (3, 3), activation = 'relu', padding = 'same')(up9)\n"," conv9=Conv2D(8, (3, 3), activation = 'relu', padding = 'same')(conv9)\n","\n"," conv10=Conv2D(1, (1, 1), activation = 'sigmoid')(conv9)\n","\n"," model=Model(inputs = inputs, outputs = conv10)\n","\n"," return model\n","\n","def train_model(model, args, X_train, X_valid):\n","\n"," # set up the checkpoint for the model\n"," checkpoint=ModelCheckpoint('model-{epoch:03d}.h5',\n"," monitor = 'val_loss',\n"," verbose = 0,\n"," save_best_only = args.save_best_only,\n"," mode = 'auto')\n","\n"," # compoile the model\n"," model.compile(loss = 'mean_squared_error', optimizer = Adam(lr=args.learning_rate)\n"," # fitting the model\n"," model.fit(np.reshape(X_train (len(X_train), X_train.shape[0]), X_train.shpae[1]),\n"," batch_size=args.samples_per_epoch,\n"," )\n","\n","\n"," return model\n","\n","def main():\n"," \"\"\"\n"," Load training data and training the model\n"," \"\"\"\n","\n"," ap = argparse.ArgumentParser('Cosmetics Inspection with AutoEncoder')\n"," ap.add_argument()\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"P70ExlcmDMp1"},"outputs":[],"source":["def convert_keras_to_pb(path_to_kmodel, out_node):\n"," \"\"\"convert keras model (json with hdf5 format) to tensorflow pb format (protobuf format)\n"," \n"," Arguments:\n"," path_to_kmodel (string): path to keras model files, model structure in json format, model weights in hdf5 format \n"," \n"," Return:\n"," \n"," \n"," Notes:\n"," \n"," \"\"\"\n"," # get model in json and hdf5 format (from tensorflow.keras export)\n"," model_json = [file for file in os.listdir(path_to_kmodel) if file.endswith('json')][0]\n"," # print(model_json)\n"," model_weights = [file for file in os.listdir(path_to_kmodel) if file.endswith('h5')][0]\n"," # print(model_weights)\n"," # load the model structure (json file)\n"," with open(os.path.join(path_to_kmodel, model_json)) as f:\n"," model_json_string = f.read()\n"," model = model_from_json(model_json_string)\n"," \n"," # load model weights in hdf5 format (from tensorflow.keras export)\n"," model.load_weights(os.path.join(path_to_kmodel, model_weights))\n"," \n"," \n"," # All new operations will be in test mode from now on\n"," K.set_learning_phase(0)\n"," \n"," checkpoint_prefix = os.path.join(path_to_kmodel, \"saved_checkpoint\")\n"," checkpoint_state_name = \"checkpoint_state\"\n"," input_graph_name = 'input_graph.pb'\n"," output_graph_name = 'output_graph.pb'\n"," \n"," # Temporary save graph to disk without weights included.\n"," saver = tf.train.Saver()\n"," #saver = saver_lib.Saver(write_version=saver_pb2.SaverDef.V2)\n"," \n"," checkpoint_path = saver.save(sess=K.get_session(), \n"," save_path=checkpoint_prefix, \n"," global_step=0, \n"," latest_filename=checkpoint_state_name)\n"," \n"," # \n"," tf.train.write_graph(graph_or_graph_def=K.get_session().graph,\n"," logdir=path_to_kmodel,\n"," name=input_graph_name)\n"," \n"," \n"," # Embed weights inside the graph and save to disk\n"," freeze_graph.freeze_graph(input_graph=os.path.join(path_to_kmodel, input_graph_name),\n"," input_saver=\"\",\n"," input_binary=False,\n"," input_checkpoint=checkpoint_path,\n"," output_node_names=out_node,\n"," restore_op_name='save/restore_all',\n"," filename_tensor_name='save/Const:0',\n"," output_graph=os.path.join(path_to_kmodel, output_graph_name),\n"," clear_devices=False,\n"," initializer_nodes=''\n"," )\n"," \n"," return model\n","\n","\n","\n","def print_output_node_names(path_to_kmodel):\n"," \"\"\"get last few output node names\n"," \n"," \n"," \"\"\"\n"," model_json = [file for file in os.listdir(path_to_kmodel) if file.endswith('json')][0]\n"," model_weights = [file for file in os.listdir(path_to_kmodel) if file.endswith('h5')][0]\n"," \n"," with open(os.path.join(path_to_kmodel, model_json)) as f:\n"," model_json_string = f.read()\n"," \n"," model = model_from_json(model_json_string)\n"," model.load_weights(os.path.join(path_to_kmodel, model_weights))\n"," K.set_learning_phase(0)\n"," for i in range(3):\n"," layer = model.layers[-(i+1)]\n"," print(layer.name)\n"," print(layer.output)\n"," # print('11')\n"," print(layer.output.op.name)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{},"colab_type":"code","id":"u_zBNP35DMoy"},"outputs":[],"source":["flags = tf.app.flags\n","FLAGS = flags.FLAGS\n","# define parameters\n","flags.DEFINE_float('learning_rate', 0.01, 'Initial learning rate')\n","flags.DEFINE_string('path_to_data', 'data/', 'Path to the training and validation dataset')\n","\n","run_training()\n","tf.app.run()"]}],"metadata":{"accelerator":"GPU","colab":{"authorship_tag":"ABX9TyNJ2Nu+KDTbLfN5455LsN7e","collapsed_sections":["RdJhuVhgCBPU"],"name":"af636d3c-f7fb-4614-93ea-3720241e84a0","provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"}},"nbformat":4,"nbformat_minor":0}