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arrest-tb/image processing and models/arrest_tb_main.ipynb
2021-07-02 18:23:44 +00:00

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{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.10","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"#import tensor flow\nimport tensorflow as tf","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:45.710963Z","iopub.execute_input":"2021-07-02T18:21:45.711358Z","iopub.status.idle":"2021-07-02T18:21:45.716632Z","shell.execute_reply.started":"2021-07-02T18:21:45.711324Z","shell.execute_reply":"2021-07-02T18:21:45.714932Z"},"trusted":true},"execution_count":127,"outputs":[]},{"cell_type":"code","source":"#import all libraries\nimport numpy as np\nimport os\nfrom sklearn.metrics import confusion_matrix\nimport seaborn as sn; sn.set(font_scale=1.4)\nfrom sklearn.utils import shuffle \nimport matplotlib.pyplot as plt \nimport cv2 \nimport tensorflow as tf \nfrom tqdm import tqdm\nfrom sklearn.metrics import classification_report\nfrom sklearn.model_selection import train_test_split\nimport numpy as np","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:45.771940Z","iopub.execute_input":"2021-07-02T18:21:45.772318Z","iopub.status.idle":"2021-07-02T18:21:45.780610Z","shell.execute_reply.started":"2021-07-02T18:21:45.772288Z","shell.execute_reply":"2021-07-02T18:21:45.779037Z"},"trusted":true},"execution_count":128,"outputs":[]},{"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nfrom matplotlib import pyplot as plt #Ploting charts\nfrom glob import glob #retriving an array of files in directories\nfrom keras.models import Sequential #for neural network models\nfrom keras.layers import Dense, Dropout, Flatten, ZeroPadding2D, Conv2D, MaxPooling2D\nfrom keras.preprocessing.image import ImageDataGenerator #Data augmentation and preprocessing\nfrom keras.utils import to_categorical #For One-hot Encoding\nfrom keras.optimizers import Adam, SGD, RMSprop #For Optimizing the Neural Network\nfrom keras.callbacks import EarlyStopping","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:45.806984Z","iopub.execute_input":"2021-07-02T18:21:45.807435Z","iopub.status.idle":"2021-07-02T18:21:45.814717Z","shell.execute_reply.started":"2021-07-02T18:21:45.807399Z","shell.execute_reply":"2021-07-02T18:21:45.813561Z"},"trusted":true},"execution_count":129,"outputs":[]},{"cell_type":"code","source":"class_names = ['negative','positive']\nclass_names_label = {class_name:i for i, class_name in enumerate(class_names)}\n\nnb_classes = len(class_names)\n\nIMAGE_SIZE = (224,224)","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:45.821007Z","iopub.execute_input":"2021-07-02T18:21:45.821815Z","iopub.status.idle":"2021-07-02T18:21:45.830399Z","shell.execute_reply.started":"2021-07-02T18:21:45.821760Z","shell.execute_reply":"2021-07-02T18:21:45.829280Z"},"trusted":true},"execution_count":130,"outputs":[]},{"cell_type":"code","source":"#load the data\ndef load_data():\n \"\"\"\n Load the data:\n - 14,034 images to train the network.\n - 3,000 images to evaluate how accurately the network learned to classify images.\n \"\"\"\n \n datasets = [\"../input/mainmyco/main/training\", \"../input/mainmyco/main/testing\"]\n output = []\n \n # Iterate through training and test sets\n for dataset in datasets:\n \n images = []\n labels = []\n \n print(\"Loading {}\".format(dataset))\n \n # Iterate through each folder corresponding to a category\n for folder in os.listdir(dataset):\n label = class_names_label[folder]\n \n # Iterate through each image in our folder\n for file in tqdm(os.listdir(os.path.join(dataset, folder))):\n \n # Get the path name of the image\n img_path = os.path.join(os.path.join(dataset, folder), file)\n \n # Open and resize the img\n image = cv2.imread(img_path)\n image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n image = cv2.resize(image, IMAGE_SIZE) \n \n # Append the image and its corresponding label to the output\n images.append(image)\n labels.append(label)\n \n images = np.array(images, dtype = 'int32')\n labels = np.array(labels, dtype = 'int32') \n \n output.append((images, labels))\n\n return output","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:45.832044Z","iopub.execute_input":"2021-07-02T18:21:45.832354Z","iopub.status.idle":"2021-07-02T18:21:45.846198Z","shell.execute_reply.started":"2021-07-02T18:21:45.832325Z","shell.execute_reply":"2021-07-02T18:21:45.845034Z"},"trusted":true},"execution_count":131,"outputs":[]},{"cell_type":"code","source":"(train_images, train_labels), (test_images, test_labels) = load_data()","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:45.863804Z","iopub.execute_input":"2021-07-02T18:21:45.864212Z","iopub.status.idle":"2021-07-02T18:21:46.728321Z","shell.execute_reply.started":"2021-07-02T18:21:45.864180Z","shell.execute_reply":"2021-07-02T18:21:46.727233Z"},"trusted":true},"execution_count":132,"outputs":[{"name":"stderr","text":" 59%|█████▉ | 13/22 [00:00<00:00, 109.06it/s]","output_type":"stream"},{"name":"stdout","text":"Loading ../input/mainmyco/main/training\n","output_type":"stream"},{"name":"stderr","text":"100%|██████████| 22/22 [00:00<00:00, 103.30it/s]\n100%|██████████| 18/18 [00:00<00:00, 63.16it/s]\n100%|██████████| 19/19 [00:00<00:00, 159.39it/s]\n 0%| | 0/20 [00:00<?, ?it/s]","output_type":"stream"},{"name":"stdout","text":"Loading ../input/mainmyco/main/testing\n","output_type":"stream"},{"name":"stderr","text":"100%|██████████| 20/20 [00:00<00:00, 96.17it/s]\n","output_type":"stream"}]},{"cell_type":"code","source":"train_images, train_labels = shuffle(train_images, train_labels, random_state=25)","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:46.731650Z","iopub.execute_input":"2021-07-02T18:21:46.731935Z","iopub.status.idle":"2021-07-02T18:21:46.746653Z","shell.execute_reply.started":"2021-07-02T18:21:46.731906Z","shell.execute_reply":"2021-07-02T18:21:46.745587Z"},"trusted":true},"execution_count":133,"outputs":[]},{"cell_type":"code","source":"n_train = train_labels.shape[0]\nn_test = test_labels.shape[0]\n\nprint (\"Number of training examples: {}\".format(n_train))\nprint (\"Number of testing examples: {}\".format(n_test))\nprint (\"Each image is of size: {}\".format(IMAGE_SIZE))","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:46.749140Z","iopub.execute_input":"2021-07-02T18:21:46.749568Z","iopub.status.idle":"2021-07-02T18:21:46.756560Z","shell.execute_reply.started":"2021-07-02T18:21:46.749522Z","shell.execute_reply":"2021-07-02T18:21:46.755365Z"},"trusted":true},"execution_count":134,"outputs":[{"name":"stdout","text":"Number of training examples: 40\nNumber of testing examples: 39\nEach image is of size: (224, 224)\n","output_type":"stream"}]},{"cell_type":"code","source":"import pandas as pd\n\n_, train_counts = np.unique(train_labels, return_counts=True)\n_, test_counts = np.unique(test_labels, return_counts=True)\npd.DataFrame({'train': train_counts,\n 'test': test_counts}, \n index=class_names\n ).plot.bar()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:46.758720Z","iopub.execute_input":"2021-07-02T18:21:46.759152Z","iopub.status.idle":"2021-07-02T18:21:46.944787Z","shell.execute_reply.started":"2021-07-02T18:21:46.759107Z","shell.execute_reply":"2021-07-02T18:21:46.943732Z"},"trusted":true},"execution_count":135,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"plt.pie(train_counts,\n explode=(0, 0) , \n labels=class_names,\n autopct='%1.1f%%')\nplt.axis('equal')\nplt.title('Proportion of each observed category')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:46.950395Z","iopub.execute_input":"2021-07-02T18:21:46.950706Z","iopub.status.idle":"2021-07-02T18:21:47.052466Z","shell.execute_reply.started":"2021-07-02T18:21:46.950674Z","shell.execute_reply":"2021-07-02T18:21:47.051310Z"},"trusted":true},"execution_count":136,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"train_images = train_images / 255.0 \ntest_images = test_images / 255.0","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:47.053928Z","iopub.execute_input":"2021-07-02T18:21:47.054259Z","iopub.status.idle":"2021-07-02T18:21:47.097642Z","shell.execute_reply.started":"2021-07-02T18:21:47.054228Z","shell.execute_reply":"2021-07-02T18:21:47.096577Z"},"trusted":true},"execution_count":137,"outputs":[]},{"cell_type":"code","source":"#visualize data\ndef display_examples(class_names, images, labels):\n \"\"\"\n Display 25 images from the images array with its corresponding labels\n \"\"\"\n \n fig = plt.figure(figsize=(10,10))\n fig.suptitle(\"Some examples of images of the dataset\", fontsize=16)\n for i in range(10):\n plt.subplot(5,5,i+1)\n plt.xticks([])\n plt.yticks([])\n plt.grid(False)\n plt.imshow(images[i], cmap=plt.cm.binary)\n plt.xlabel(class_names[labels[i]])\n plt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:47.099263Z","iopub.execute_input":"2021-07-02T18:21:47.099558Z","iopub.status.idle":"2021-07-02T18:21:47.107504Z","shell.execute_reply.started":"2021-07-02T18:21:47.099528Z","shell.execute_reply":"2021-07-02T18:21:47.106564Z"},"trusted":true},"execution_count":138,"outputs":[]},{"cell_type":"code","source":"display_examples(class_names, train_images, train_labels)\nprint(train_labels)\nprint(class_names)","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:47.110023Z","iopub.execute_input":"2021-07-02T18:21:47.110361Z","iopub.status.idle":"2021-07-02T18:21:47.758692Z","shell.execute_reply.started":"2021-07-02T18:21:47.110331Z","shell.execute_reply":"2021-07-02T18:21:47.757407Z"},"trusted":true},"execution_count":139,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 720x720 with 10 Axes>","image/png":"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\n"},"metadata":{}},{"name":"stdout","text":"[1 1 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 1 0 1 1 0 1 1 1 1 0 0 0 0 0 1 1 1 1 0 1\n 0 1 0]\n['negative', 'positive']\n","output_type":"stream"}]},{"cell_type":"code","source":"model = tf.keras.Sequential([\n tf.keras.layers.Conv2D(8, (3, 3), activation = 'relu', input_shape = (224, 224, 3)),\n tf.keras.layers.MaxPooling2D((2,2),strides=(2, 2)),\n tf.keras.layers.Flatten(),\n tf.keras.layers.Dense(8, activation=tf.nn.relu),\n tf.keras.layers.Dense(2, activation=tf.nn.softmax)\n])\n","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:47.760920Z","iopub.execute_input":"2021-07-02T18:21:47.761258Z","iopub.status.idle":"2021-07-02T18:21:47.809046Z","shell.execute_reply.started":"2021-07-02T18:21:47.761210Z","shell.execute_reply":"2021-07-02T18:21:47.808137Z"},"trusted":true},"execution_count":140,"outputs":[]},{"cell_type":"code","source":"model.summary()","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:47.810407Z","iopub.execute_input":"2021-07-02T18:21:47.810864Z","iopub.status.idle":"2021-07-02T18:21:47.818919Z","shell.execute_reply.started":"2021-07-02T18:21:47.810824Z","shell.execute_reply":"2021-07-02T18:21:47.817848Z"},"trusted":true},"execution_count":141,"outputs":[{"name":"stdout","text":"Model: \"sequential_8\"\n_________________________________________________________________\nLayer (type) Output Shape Param # \n=================================================================\nconv2d_4 (Conv2D) (None, 222, 222, 8) 224 \n_________________________________________________________________\nmax_pooling2d_4 (MaxPooling2 (None, 111, 111, 8) 0 \n_________________________________________________________________\nflatten_4 (Flatten) (None, 98568) 0 \n_________________________________________________________________\ndense_8 (Dense) (None, 8) 788552 \n_________________________________________________________________\ndense_9 (Dense) (None, 2) 18 \n=================================================================\nTotal params: 788,794\nTrainable params: 788,794\nNon-trainable params: 0\n_________________________________________________________________\n","output_type":"stream"}]},{"cell_type":"code","source":"model.compile(optimizer = 'adam', loss = 'sparse_categorical_crossentropy', metrics=['accuracy'])","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:47.820395Z","iopub.execute_input":"2021-07-02T18:21:47.820678Z","iopub.status.idle":"2021-07-02T18:21:47.842071Z","shell.execute_reply.started":"2021-07-02T18:21:47.820650Z","shell.execute_reply":"2021-07-02T18:21:47.841147Z"},"trusted":true},"execution_count":142,"outputs":[]},{"cell_type":"code","source":"history = model.fit(train_images, train_labels, batch_size=128, epochs=30, validation_split = 0.4)\n","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:47.843430Z","iopub.execute_input":"2021-07-02T18:21:47.844146Z","iopub.status.idle":"2021-07-02T18:21:58.477173Z","shell.execute_reply.started":"2021-07-02T18:21:47.844101Z","shell.execute_reply":"2021-07-02T18:21:58.476128Z"},"trusted":true},"execution_count":143,"outputs":[{"name":"stdout","text":"Epoch 1/30\n1/1 [==============================] - 1s 860ms/step - loss: 1.0199 - accuracy: 0.5833 - val_loss: 5.4921 - val_accuracy: 0.5000\nEpoch 2/30\n1/1 [==============================] - 0s 351ms/step - loss: 6.2063 - accuracy: 0.4167 - val_loss: 3.0188 - val_accuracy: 0.5000\nEpoch 3/30\n1/1 [==============================] - 0s 341ms/step - loss: 3.4162 - accuracy: 0.4167 - val_loss: 0.6931 - val_accuracy: 0.5000\nEpoch 4/30\n1/1 [==============================] - 0s 341ms/step - loss: 0.6932 - accuracy: 0.4167 - val_loss: 0.6931 - val_accuracy: 0.5000\nEpoch 5/30\n1/1 [==============================] - 0s 352ms/step - loss: 0.6931 - accuracy: 0.5833 - val_loss: 0.6931 - val_accuracy: 0.5000\nEpoch 6/30\n1/1 [==============================] - 0s 338ms/step - loss: 0.6930 - accuracy: 0.5833 - val_loss: 0.6931 - val_accuracy: 0.5000\nEpoch 7/30\n1/1 [==============================] - 0s 335ms/step - loss: 0.6929 - accuracy: 0.5833 - val_loss: 0.6931 - val_accuracy: 0.5000\nEpoch 8/30\n1/1 [==============================] - 0s 313ms/step - loss: 0.6928 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 9/30\n1/1 [==============================] - 0s 317ms/step - loss: 0.6927 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 10/30\n1/1 [==============================] - 0s 329ms/step - loss: 0.6927 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 11/30\n1/1 [==============================] - 0s 332ms/step - loss: 0.6926 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 12/30\n1/1 [==============================] - 0s 326ms/step - loss: 0.6925 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 13/30\n1/1 [==============================] - 0s 327ms/step - loss: 0.6925 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 14/30\n1/1 [==============================] - 0s 335ms/step - loss: 0.6924 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 15/30\n1/1 [==============================] - 0s 338ms/step - loss: 0.6923 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 16/30\n1/1 [==============================] - 0s 325ms/step - loss: 0.6922 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 17/30\n1/1 [==============================] - 0s 318ms/step - loss: 0.6922 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 18/30\n1/1 [==============================] - 0s 326ms/step - loss: 0.6921 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 19/30\n1/1 [==============================] - 0s 310ms/step - loss: 0.6920 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 20/30\n1/1 [==============================] - 0s 328ms/step - loss: 0.6920 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 21/30\n1/1 [==============================] - 0s 327ms/step - loss: 0.6919 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 22/30\n1/1 [==============================] - 0s 316ms/step - loss: 0.6918 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 23/30\n1/1 [==============================] - 0s 332ms/step - loss: 0.6918 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 24/30\n1/1 [==============================] - 0s 368ms/step - loss: 0.6917 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 25/30\n1/1 [==============================] - 0s 330ms/step - loss: 0.6916 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 26/30\n1/1 [==============================] - 0s 325ms/step - loss: 0.6915 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 27/30\n1/1 [==============================] - 0s 334ms/step - loss: 0.6915 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 28/30\n1/1 [==============================] - 0s 329ms/step - loss: 0.6914 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 29/30\n1/1 [==============================] - 0s 334ms/step - loss: 0.6913 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\nEpoch 30/30\n1/1 [==============================] - 0s 336ms/step - loss: 0.6913 - accuracy: 0.5833 - val_loss: 0.6932 - val_accuracy: 0.5000\n","output_type":"stream"}]},{"cell_type":"code","source":"print(test_labels)\nprint(class_names)\nwith open(\"lables.txt\",\"w\") as f:\n for i,item in enumerate(class_names):\n f.write(f\"{i} {item}\\n\")","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:58.479233Z","iopub.execute_input":"2021-07-02T18:21:58.479666Z","iopub.status.idle":"2021-07-02T18:21:58.486544Z","shell.execute_reply.started":"2021-07-02T18:21:58.479620Z","shell.execute_reply":"2021-07-02T18:21:58.485422Z"},"trusted":true},"execution_count":144,"outputs":[{"name":"stdout","text":"[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n 1 1]\n['negative', 'positive']\n","output_type":"stream"}]},{"cell_type":"code","source":"def plot_accuracy_loss(history):\n \"\"\"\n Plot the accuracy and the loss during the training of the nn.\n \"\"\"\n fig = plt.figure(figsize=(10,5))\n\n # Plot accuracy\n plt.subplot(221)\n plt.plot(history.history['accuracy'],'bo--', label = \"accuracy\")\n plt.plot(history.history['val_accuracy'], 'ro--', label = \"val_accuracy\")\n plt.title(\"train_acc vs val_acc\")\n plt.ylabel(\"accuracy\")\n plt.xlabel(\"epochs\")\n plt.legend()\n\n # Plot loss function\n plt.subplot(222)\n plt.plot(history.history['loss'],'bo--', label = \"loss\")\n plt.plot(history.history['val_loss'], 'ro--', label = \"val_loss\")\n plt.title(\"train_loss vs val_loss\")\n plt.ylabel(\"loss\")\n plt.xlabel(\"epochs\")\n\n plt.legend()\n plt.show()","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:58.488199Z","iopub.execute_input":"2021-07-02T18:21:58.488614Z","iopub.status.idle":"2021-07-02T18:21:58.498667Z","shell.execute_reply.started":"2021-07-02T18:21:58.488571Z","shell.execute_reply":"2021-07-02T18:21:58.497603Z"},"trusted":true},"execution_count":145,"outputs":[]},{"cell_type":"code","source":"plot_accuracy_loss(history)","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:58.500090Z","iopub.execute_input":"2021-07-02T18:21:58.500371Z","iopub.status.idle":"2021-07-02T18:21:58.852667Z","shell.execute_reply.started":"2021-07-02T18:21:58.500342Z","shell.execute_reply":"2021-07-02T18:21:58.851652Z"},"trusted":true},"execution_count":146,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 720x360 with 2 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"test_loss = model.evaluate(test_images, test_labels,batch_size=200)","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:58.854016Z","iopub.execute_input":"2021-07-02T18:21:58.854325Z","iopub.status.idle":"2021-07-02T18:21:59.081002Z","shell.execute_reply.started":"2021-07-02T18:21:58.854294Z","shell.execute_reply":"2021-07-02T18:21:59.080087Z"},"trusted":true},"execution_count":147,"outputs":[{"name":"stdout","text":"1/1 [==============================] - 0s 159ms/step - loss: 0.6935 - accuracy: 0.4872\n","output_type":"stream"}]},{"cell_type":"code","source":"probability_model = tf.keras.Sequential([model, \n tf.keras.layers.Softmax()])","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:59.082583Z","iopub.execute_input":"2021-07-02T18:21:59.082866Z","iopub.status.idle":"2021-07-02T18:21:59.112223Z","shell.execute_reply.started":"2021-07-02T18:21:59.082837Z","shell.execute_reply":"2021-07-02T18:21:59.111193Z"},"trusted":true},"execution_count":148,"outputs":[]},{"cell_type":"code","source":"predictions = probability_model.predict(test_images)\npredicted_label = np.argmax(predictions, axis =1)\nprint(predicted_label.shape)","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:59.113654Z","iopub.execute_input":"2021-07-02T18:21:59.113960Z","iopub.status.idle":"2021-07-02T18:21:59.369115Z","shell.execute_reply.started":"2021-07-02T18:21:59.113927Z","shell.execute_reply":"2021-07-02T18:21:59.368129Z"},"trusted":true},"execution_count":149,"outputs":[{"name":"stdout","text":"(39,)\n","output_type":"stream"}]},{"cell_type":"code","source":"from sklearn import metrics\n# Predicted values\ny_pred = predicted_label\n# Actual values\ny_act = test_labels\nprint(metrics.confusion_matrix(y_act, y_pred))\nprint(metrics.classification_report(y_act, y_pred))","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:59.370535Z","iopub.execute_input":"2021-07-02T18:21:59.370855Z","iopub.status.idle":"2021-07-02T18:21:59.386236Z","shell.execute_reply.started":"2021-07-02T18:21:59.370821Z","shell.execute_reply":"2021-07-02T18:21:59.385155Z"},"trusted":true},"execution_count":150,"outputs":[{"name":"stdout","text":"[[19 0]\n [20 0]]\n precision recall f1-score support\n\n 0 0.49 1.00 0.66 19\n 1 0.00 0.00 0.00 20\n\n accuracy 0.49 39\n macro avg 0.24 0.50 0.33 39\nweighted avg 0.24 0.49 0.32 39\n\n","output_type":"stream"},{"name":"stderr","text":"/opt/conda/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1245: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n _warn_prf(average, modifier, msg_start, len(result))\n/opt/conda/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1245: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n _warn_prf(average, modifier, msg_start, len(result))\n/opt/conda/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1245: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n _warn_prf(average, modifier, msg_start, len(result))\n","output_type":"stream"}]},{"cell_type":"code","source":"def plot_image(i, predictions_array, true_label, img):\n true_label, img = true_label[i], img[i]\n plt.grid(False)\n plt.xticks([])\n plt.yticks([])\n\n plt.imshow(img, cmap=plt.cm.binary)\n\n predicted_label = np.argmax(predictions_array)\n if predicted_label == true_label:\n color = 'green'\n else:\n color = 'red'\n\n plt.xlabel(\"{} {:2.0f}% ({})\".format(class_names[predicted_label],\n 100*np.max(predictions_array),\n '',\n class_names[true_label]),\n color=color)\n\ndef plot_value_array(i, predictions_array, true_label):\n true_label = true_label[i]\n plt.grid(False)\n plt.xticks(range(10))\n plt.yticks([])\n thisplot = plt.bar(range(10), predictions_array, color=\"#777777\")\n plt.ylim([0, 1])\n print(predicted_label.shape)\n predicted_label = np.argmax(predictions_array)\n \n thisplot[predicted_label].set_color('red')\n thisplot[true_label].set_color('green')\n\n","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:59.387743Z","iopub.execute_input":"2021-07-02T18:21:59.388299Z","iopub.status.idle":"2021-07-02T18:21:59.397629Z","shell.execute_reply.started":"2021-07-02T18:21:59.388264Z","shell.execute_reply":"2021-07-02T18:21:59.396571Z"},"trusted":true},"execution_count":151,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nnum_rows = 5\nnum_cols = 2\nnum_images = num_rows*num_cols\nplt.figure(figsize=(2*2*num_cols, 2*num_rows))\nfor i in range(9):\n plt.subplot(num_rows, 2*num_cols, 2*i+1)\n plot_image(i, predictions[i], test_labels, test_images)\n \nplt.tight_layout()\nplt.show()\n\n","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:21:59.399170Z","iopub.execute_input":"2021-07-02T18:21:59.399723Z","iopub.status.idle":"2021-07-02T18:22:00.118823Z","shell.execute_reply.started":"2021-07-02T18:21:59.399688Z","shell.execute_reply":"2021-07-02T18:22:00.117500Z"},"trusted":true},"execution_count":152,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 576x720 with 9 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":"model.save('model')","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:22:00.120346Z","iopub.execute_input":"2021-07-02T18:22:00.120666Z","iopub.status.idle":"2021-07-02T18:22:00.972382Z","shell.execute_reply.started":"2021-07-02T18:22:00.120632Z","shell.execute_reply":"2021-07-02T18:22:00.971235Z"},"trusted":true},"execution_count":153,"outputs":[]},{"cell_type":"code","source":"model='./model'\nconverter = tf.lite.TFLiteConverter.from_saved_model(model) # path to the SavedModel directory\n\nconverter.optimizations = [tf.lite.Optimize.OPTIMIZE_FOR_SIZE] # for dynamic range quantized model \n\ntflite_model = converter.convert() \nwith open('quantized_model.tflite', 'wb') as f:\n f.write(tflite_model)\n\n\n","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:22:00.976031Z","iopub.execute_input":"2021-07-02T18:22:00.976343Z","iopub.status.idle":"2021-07-02T18:22:01.412653Z","shell.execute_reply.started":"2021-07-02T18:22:00.976313Z","shell.execute_reply":"2021-07-02T18:22:01.411757Z"},"trusted":true},"execution_count":154,"outputs":[]},{"cell_type":"code","source":"model='./model'\nconverter = tf.lite.TFLiteConverter.from_saved_model(model) # path to the SavedModel directory\n\nconverter.optimizations = [tf.lite.Optimize.OPTIMIZE_FOR_SIZE] # for dynamic range quantized model \nconverter.target_spec.supported_types = [tf.float32] # for floating range quantized model\n\ntflite_model = converter.convert() \n\n\nwith open('floating_model.tflite', 'wb') as f:\n f.write(tflite_model)","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:22:01.414349Z","iopub.execute_input":"2021-07-02T18:22:01.414975Z","iopub.status.idle":"2021-07-02T18:22:02.355557Z","shell.execute_reply.started":"2021-07-02T18:22:01.414926Z","shell.execute_reply":"2021-07-02T18:22:02.354241Z"},"trusted":true},"execution_count":155,"outputs":[]},{"cell_type":"code","source":"import numpy as np\nimport tensorflow as tf\n\n# Load the TFLite model and allocate tensors.\ninterpreter = tf.lite.Interpreter(model_path=\"quantized_model.tflite\")\ninterpreter.allocate_tensors()\n\n# Get input and output tensors.\ninput_details = interpreter.get_input_details()\nprint(input_details)\noutput_details = interpreter.get_output_details()\n\n# Test the model on random input data.\ninput_shape = input_details[0]['shape']\nprint(input_shape)\ninput_data = np.array(np.random.random_sample(input_shape), dtype=np.float32)\ninterpreter.set_tensor(input_details[0]['index'], input_data)\n\ninterpreter.invoke()\n\n# The function `get_tensor()` returns a copy of the tensor data.\n# Use `tensor()` in order to get a pointer to the tensor.\noutput_data = interpreter.get_tensor(output_details[0]['index'])\nprint(output_data)","metadata":{"execution":{"iopub.status.busy":"2021-07-02T18:22:02.357496Z","iopub.execute_input":"2021-07-02T18:22:02.357944Z","iopub.status.idle":"2021-07-02T18:22:02.383856Z","shell.execute_reply.started":"2021-07-02T18:22:02.357896Z","shell.execute_reply":"2021-07-02T18:22:02.381974Z"},"trusted":true},"execution_count":156,"outputs":[{"name":"stdout","text":"[{'name': 'serving_default_conv2d_4_input:0', 'index': 0, 'shape': array([ 1, 224, 224, 3], dtype=int32), 'shape_signature': array([ -1, 224, 224, 3], dtype=int32), 'dtype': <class 'numpy.float32'>, 'quantization': (0.0, 0), 'quantization_parameters': {'scales': array([], dtype=float32), 'zero_points': array([], dtype=int32), 'quantized_dimension': 0}, 'sparsity_parameters': {}}]\n[ 1 224 224 3]\n[[0.50613004 0.49386996]]\n","output_type":"stream"}]}]}