diff --git a/Final Task/A4_200665.ipynb b/Final Task/A4_200665.ipynb new file mode 100644 index 0000000..3fa3f58 --- /dev/null +++ b/Final Task/A4_200665.ipynb @@ -0,0 +1,1107 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "200665_ICG-CVwTF-Final_Task.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU", + "gpuClass": "standard" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "## Final Task:\n", + "This is your final evaluation for the project. As decided, we will be predicting images of people into three classes: `without_mask`, `mask_weared_incorrect` and `with_mask`. " + ], + "metadata": { + "id": "rtI19Rt-H7Uc" + } + }, + { + "cell_type": "code", + "source": [ + "import tensorflow as tf" + ], + "metadata": { + "id": "c2CiXcHQTbX8" + }, + "execution_count": 1, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Loading the dataset\n", + "Make a copy of the dataset given to you in your Google Drive (keep it outside, don't put it in any folder to avoid inconvenience). Ensure it is named as `Mask_Dataset` or change the path (the variable `data_dir`) accordingly." + ], + "metadata": { + "id": "QKDPyiZTIm1c" + } + }, + { + "cell_type": "code", + "source": [ + "# Mount Google Drive\n", + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hNEMe7XsIjrK", + "outputId": "72755090-9a50-4596-ffd5-1cc07534f2f4" + }, + "execution_count": 2, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pathlib\n", + "\n", + "path='/content/drive/MyDrive/Mask_Dataset/'\n", + "data_dir = pathlib.Path(path)" + ], + "metadata": { + "id": "8CXzo4MOJOl8" + }, + "execution_count": 3, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Know the Dataset\n", + "Most of the code is written for you as you aren't used to these libraries. You are to go through the documentation for your benefit." + ], + "metadata": { + "id": "YHPHkGyDKscK" + } + }, + { + "cell_type": "code", + "source": [ + "# Print image count\n", + "image_count = len(list(data_dir.glob('*/*.png')))\n", + "print(image_count)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "PzbSy-vXKjD-", + "outputId": "d8cd12db-c3b5-4a83-b72a-d8b6557795cb" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "8982\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Print Output Labels\n", + "import os\n", + "output_classes = os.listdir(data_dir)\n", + "print(output_classes)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rFHWFYj5NCVm", + "outputId": "c29e25f5-43b1-4587-e498-cac0f644b278" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "['without_mask', 'mask_weared_incorrect', 'with_mask']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Plot count of each ouput label\n", + "import matplotlib.pyplot as plt\n", + "\n", + "count=[]\n", + "for label in output_classes:\n", + " this_path=path+label\n", + " dir=pathlib.Path(this_path)\n", + " im_count=os.listdir(dir)\n", + " count.append(len(im_count))\n", + "\n", + "print(count)\n", + "\n", + "plt.bar(output_classes,count)\n", + "plt.title(\"Statistics\")\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 300 + }, + "id": "fESyMw90KaxN", + "outputId": "264fd345-3561-4b3a-f9c9-a7731f1684ce" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[2994, 2994, 2994]\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check some sample images (Use of cv2)\n", + "import cv2\n", + "import numpy as np\n", + "from google.colab.patches import cv2_imshow\n", + "# cv2.imread(str())\n", + "# Your code\n" + ], + "metadata": { + "id": "HDSJ2Zk5a14s" + }, + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "image_all = list(data_dir.glob('*/*.png'))\n", + "image_all[:4]\n", + "len(image_all)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "pMzauwlObRJz", + "outputId": "38d07a18-c047-4b1a-a2a6-3fbd659752ee" + }, + "execution_count": 8, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "8982" + ] + }, + "metadata": {}, + "execution_count": 8 + } + ] + }, + { + "cell_type": "code", + "source": [ + "image_without_mask = list(data_dir.glob('without_mask/*'))\n", + "image_mask_weared_incorrect = list(data_dir.glob('mask_weared_incorrect/*'))\n", + "image_with_mask = list(data_dir.glob('with_mask/*'))" + ], + "metadata": { + "id": "JfofeNy1b55C" + }, + "execution_count": 9, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "all_images_dict = {\n", + " 'without_mask' : image_without_mask,\n", + " 'mask_weared_incorrect' : image_mask_weared_incorrect,\n", + " 'with_mask' : image_with_mask,\n", + "}\n", + "all_images_labels = {\n", + " 'without_mask' : 0, 'mask_weared_incorrect' : 1,\n", + " 'with_mask' : 2,\n", + "}" + ], + "metadata": { + "id": "m8WVi15Gc5EN" + }, + "execution_count": 10, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import random\n", + "random.shuffle(image_all)\n", + "image_all[:6]" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "QfhrTf4ikidX", + "outputId": "11fe6567-6a92-41e9-82a7-511f31a2d54c" + }, + "execution_count": 11, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "[PosixPath('/content/drive/MyDrive/Mask_Dataset/mask_weared_incorrect/903.png'),\n", + " PosixPath('/content/drive/MyDrive/Mask_Dataset/without_mask/1082.png'),\n", + " PosixPath('/content/drive/MyDrive/Mask_Dataset/mask_weared_incorrect/1862.png'),\n", + " PosixPath('/content/drive/MyDrive/Mask_Dataset/without_mask/892.png'),\n", + " PosixPath('/content/drive/MyDrive/Mask_Dataset/mask_weared_incorrect/211.png'),\n", + " PosixPath('/content/drive/MyDrive/Mask_Dataset/with_mask/2567.png')]" + ] + }, + "metadata": {}, + "execution_count": 11 + } + ] + }, + { + "cell_type": "code", + "source": [ + "X, y = [], []\n", + "\n", + "for mask_type, images in all_images_dict.items():\n", + " for image in images:\n", + " img = cv2.imread(str(image))\n", + " resized_img = cv2.resize(img,(128,128))\n", + " X.append(resized_img)\n", + " y.append(all_images_labels[mask_type])" + ], + "metadata": { + "id": "N6AOFNwtwwNu" + }, + "execution_count": 12, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.imshow(X[6000])\n", + "print(y[6000])\n", + "## 2 means mask weared" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "id": "-87vhk9dw24I", + "outputId": "ae55b15b-5697-4f1c-e610-abb40a012d00" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "2\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "plt.imshow(X[3000])\n", + "print(y[3000])\n", + "## 1 means mask weared incorrectly" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "id": "tiF3G4oNw_VG", + "outputId": "e034a64d-9956-49fe-ef50-44c6bb27cccd" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "1\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "plt.imshow(X[1000])\n", + "print(y[1000])\n", + "## 0 means without mask" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "id": "dHVgOnRvxBVQ", + "outputId": "55ea40bb-dc69-4b78-aa8a-218efd3caed8" + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "0\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check shape of the images in your dataset. This will be helpful while specifying input_shape in your Transfer Learning Model\n", + "# shapes\n", + "shapes = []\n", + "for images in image_all:\n", + " temp = cv2.imread(str(images))\n", + " shapes.append(temp.shape)\n", + "shapes = np.array(shapes)\n", + "# shapes.shape\n", + "shape_uniq = np.unique(shapes,axis = 0)\n", + "shape_uniq.shape" + ], + "metadata": { + "id": "jWBEMC1FUfXS", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "60008414-833e-4bab-95fe-fafb06015b5d" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(1, 3)" + ] + }, + "metadata": {}, + "execution_count": 16 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check if all the images have same shape, else you need to resize them to some common size\n", + "# The code provided as it is above in the template will help \n", + "print(shape_uniq.reshape(-1))" + ], + "metadata": { + "id": "52BhBWRab5yc", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "7c1e4fc8-7821-410a-d6e1-c644a4e2c547" + }, + "execution_count": 17, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[128 128 3]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# If the shape is variable, reshape to a common size \n", + "# If it is same, prove it" + ], + "metadata": { + "id": "G-Atau4Rfc-x" + }, + "execution_count": 18, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "print(len(image_without_mask))\n", + "print(len(image_with_mask))\n", + "print(len(image_mask_weared_incorrect))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "gj0qGcanmKBs", + "outputId": "e6bf03ae-c339-4786-f3ea-f0679066ed78" + }, + "execution_count": 19, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "2994\n", + "2994\n", + "2994\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "X = np.array(X)\n", + "y= np.array(y)" + ], + "metadata": { + "id": "kTl_-qwGyCxR" + }, + "execution_count": 20, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.model_selection import train_test_split\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)" + ], + "metadata": { + "id": "m8zwWxSyn_pe" + }, + "execution_count": 21, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "X_train_scaled = X_train / 255\n", + "X_test_scaled = X_test / 255" + ], + "metadata": { + "id": "aJSQEzjmoByh" + }, + "execution_count": 22, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "X_train[0].shape" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dYgEiP6WoD7q", + "outputId": "09341683-459a-4a8d-f1e6-549bc1742847" + }, + "execution_count": 23, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(128, 128, 3)" + ] + }, + "metadata": {}, + "execution_count": 23 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Model Definition\n", + "Choose a model for Transfer Learning (You may also experment with multiple models and keep all of them in this notebook)" + ], + "metadata": { + "id": "zSoUXS1cRbnu" + } + }, + { + "cell_type": "code", + "source": [ + "import tensorflow_hub as hub" + ], + "metadata": { + "id": "zn2X77d5oA3O" + }, + "execution_count": 24, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# feature_extractor_model = \"https://tfhub.dev/google/tf2-preview/mobilenet_v2/feature_vector/4\"\n", + "\n", + "# pretrained_model_without_top_layer = hub.KerasLayer(\n", + "# feature_extractor_model, input_shape=(128, 128, 3), trainable=False)" + ], + "metadata": { + "id": "s9GBMhYa2LWy" + }, + "execution_count": 25, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from tensorflow.keras.layers import Input, Lambda, Dense, Flatten\n", + "from tensorflow.keras.models import Model\n", + "from tensorflow.keras.preprocessing import image\n", + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.optimizers import Adam" + ], + "metadata": { + "id": "QKZmIgXMTHfy" + }, + "execution_count": 26, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "resnet_model = Sequential()\n", + "\n", + "pretrained_model= tf.keras.applications.ResNet50(include_top=False,\n", + " input_shape=X_train[0].shape,\n", + " pooling='avg',classes=3,\n", + " weights='imagenet')\n", + "for layer in pretrained_model.layers:\n", + " layer.trainable=False\n", + "\n", + "resnet_model.add(pretrained_model)" + ], + "metadata": { + "id": "9xWLUibHRNGj" + }, + "execution_count": 27, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Print base model summary and have a look at the layers\n", + "resnet_model.summary()" + ], + "metadata": { + "id": "J3TwB_GLd7BU", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "8d3c3643-be77-4059-de43-1615b0cfeff2" + }, + "execution_count": 28, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " resnet50 (Functional) (None, 2048) 23587712 \n", + " \n", + "=================================================================\n", + "Total params: 23,587,712\n", + "Trainable params: 0\n", + "Non-trainable params: 23,587,712\n", + "_________________________________________________________________\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# As we're using Transfer Learning, you do not need to train all the layers. Freeze all of the layers or train some layers (experiment)" + ], + "metadata": { + "id": "F_Heq3C1eKd-" + }, + "execution_count": 29, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Append Fully connected/custom Conv2D/Dropout/MaxPooling layers to the base model\n", + "resnet_model.add(Flatten())\n", + "resnet_model.add(Dense(512, activation='relu'))" + ], + "metadata": { + "id": "MKx1EtUJea6D" + }, + "execution_count": 30, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Add the final output layer\n", + "resnet_model.add(Dense(3, activation='softmax'))" + ], + "metadata": { + "id": "q6I3oTTNgP8L" + }, + "execution_count": 31, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Print your model's summary\n", + "resnet_model.summary()" + ], + "metadata": { + "id": "6aVQocJwgN5r", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "c281512f-7d2f-4106-9ea4-6e09885d4251" + }, + "execution_count": 32, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + " Layer (type) Output Shape Param # \n", + "=================================================================\n", + " resnet50 (Functional) (None, 2048) 23587712 \n", + " \n", + " flatten (Flatten) (None, 2048) 0 \n", + " \n", + " dense (Dense) (None, 512) 1049088 \n", + " \n", + " dense_1 (Dense) (None, 3) 1539 \n", + " \n", + "=================================================================\n", + "Total params: 24,638,339\n", + "Trainable params: 1,050,627\n", + "Non-trainable params: 23,587,712\n", + "_________________________________________________________________\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Compile you model (set the parameters like loss/optimizers/metrics)\n", + "resnet_model.compile(optimizer=Adam(learning_rate=0.001),loss='sparse_categorical_crossentropy',metrics=['accuracy'])" + ], + "metadata": { + "id": "qdC71fUBgXAg" + }, + "execution_count": 33, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "" + ], + "metadata": { + "id": "n0OhEGXX4XGN" + }, + "execution_count": 33, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Data Augmentation and Pre-processing\n", + "Augment the data. You may also try dyanamic augmentation using [`tf.keras.preprocessing.image.ImageDataGenerator `](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/image/ImageDataGenerator). \n", + "You may use [`tf.keras.applications.vgg16.preprocess_input`](https://www.tensorflow.org/api_docs/python/tf/keras/applications/vgg16/preprocess_input)(or some other base model's utility) for pre-processing (can also be passed as a parameter to `ImageDataGenerator`)" + ], + "metadata": { + "id": "RdUSMLggifex" + } + }, + { + "cell_type": "code", + "source": [ + "# from keras.applications.vgg16 import preprocess_input # Change according to your base model\n", + "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", + "\n", + "# Your code \n", + "train_datagen = ImageDataGenerator(\n", + " rotation_range=40,\n", + " width_shift_range=0.2,\n", + " height_shift_range=0.2,\n", + " shear_range=0.2,\n", + " zoom_range=0.2,\n", + " horizontal_flip=True,\n", + " fill_mode='nearest',\n", + " validation_split=0.2,\n", + ")\n", + "# test_datagen = ImageDataGenerator(rescale=1./255)" + ], + "metadata": { + "id": "DBscSsvkgn39" + }, + "execution_count": 34, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Anything else you wish to try" + ], + "metadata": { + "id": "rhyHEFXDkZr4" + }, + "execution_count": 35, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Training and Validation Dataset \n", + "Split the dataset into training and validation (We'll be looking for your validation accuracy, assume we are using complete dataset for now). \n", + "\n", + "Hint: `flow_from_directory` used with `ImageDataGenerator` will simplify things for you." + ], + "metadata": { + "id": "IcKPxCpOkcuG" + } + }, + { + "cell_type": "code", + "source": [ + "# Your code\n", + "train_generator = train_datagen.flow(X_train, y_train, batch_size=32,\n", + " subset='training')\n", + "validation_generator = train_datagen.flow(X_train, y_train,\n", + " batch_size=8, subset='validation')" + ], + "metadata": { + "id": "sB7hb3ybkJRq" + }, + "execution_count": 36, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "### Training \n", + "Train your model for some epochs and plot the graph. Try and save your best model. Experiment with the parameters of `model.fit`" + ], + "metadata": { + "id": "ZZPsjpT1mp3z" + } + }, + { + "cell_type": "code", + "source": [ + "from keras.callbacks import ModelCheckpoint\n", + "# ModelCheckpoint is helpful to save the model giving best results (brownie points)\n", + "\n", + "resnet_model.fit(train_generator, validation_data = validation_generator, epochs = 10)" + ], + "metadata": { + "id": "Gs2X14MBmu7W", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "09dfa7d5-f6db-45b9-fbe6-f1bd53c1108b" + }, + "execution_count": 37, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 1/10\n", + "169/169 [==============================] - 35s 171ms/step - loss: 0.2542 - accuracy: 0.9217 - val_loss: 0.1650 - val_accuracy: 0.9406\n", + "Epoch 2/10\n", + "169/169 [==============================] - 27s 157ms/step - loss: 0.1283 - accuracy: 0.9519 - val_loss: 0.1470 - val_accuracy: 0.9562\n", + "Epoch 3/10\n", + "169/169 [==============================] - 28s 167ms/step - loss: 0.1002 - accuracy: 0.9642 - val_loss: 0.0989 - val_accuracy: 0.9659\n", + "Epoch 4/10\n", + "169/169 [==============================] - 27s 160ms/step - loss: 0.0814 - accuracy: 0.9707 - val_loss: 0.1237 - val_accuracy: 0.9592\n", + "Epoch 5/10\n", + "169/169 [==============================] - 26s 157ms/step - loss: 0.0865 - accuracy: 0.9686 - val_loss: 0.1209 - val_accuracy: 0.9592\n", + "Epoch 6/10\n", + "169/169 [==============================] - 27s 157ms/step - loss: 0.0711 - accuracy: 0.9770 - val_loss: 0.0961 - val_accuracy: 0.9710\n", + "Epoch 7/10\n", + "169/169 [==============================] - 29s 169ms/step - loss: 0.0680 - accuracy: 0.9751 - val_loss: 0.0812 - val_accuracy: 0.9688\n", + "Epoch 8/10\n", + "169/169 [==============================] - 27s 161ms/step - loss: 0.0613 - accuracy: 0.9768 - val_loss: 0.0636 - val_accuracy: 0.9807\n", + "Epoch 9/10\n", + "169/169 [==============================] - 27s 162ms/step - loss: 0.0632 - accuracy: 0.9757 - val_loss: 0.0485 - val_accuracy: 0.9829\n", + "Epoch 10/10\n", + "169/169 [==============================] - 33s 197ms/step - loss: 0.0528 - accuracy: 0.9826 - val_loss: 0.0705 - val_accuracy: 0.9725\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 37 + } + ] + }, + { + "cell_type": "code", + "source": [ + "acc = resnet_model.history.history['accuracy']\n", + "val_acc = resnet_model.history.history['val_accuracy']\n", + "loss = resnet_model.history.history['loss']\n", + "val_loss = resnet_model.history.history['val_loss']\n", + "\n", + "epochs = range(len(acc))\n", + "\n", + "plt.plot(epochs, acc, 'bo', label='Training accuracy')\n", + "plt.plot(epochs, val_acc, 'b', label='Validation accuracy')\n", + "plt.title('Training and validation accuracy')\n", + "\n", + "plt.figure()\n", + "\n", + "plt.plot(epochs, loss, 'bo', label='Training Loss')\n", + "plt.plot(epochs, val_loss, 'b', label='Validation Loss')\n", + "plt.title('Training and validation loss')\n", + "plt.legend()\n", + "\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 545 + }, + "id": "6hM0ErK0LNF0", + "outputId": "9c8f698f-4321-4bb8-f89e-6abbf14c951b" + }, + "execution_count": 38, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": { + "needs_background": "light" + } + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Evaluate the performance" + ], + "metadata": { + "id": "FTvRa1FXri4R" + } + }, + { + "cell_type": "code", + "source": [ + "# Plot training & validation loss/accuracy values" + ], + "metadata": { + "id": "cTH6flzcrck0" + }, + "execution_count": 39, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.metrics import classification_report, confusion_matrix\n", + "import numpy as np\n", + "predictions = resnet_model.predict(X_test)\n", + "predict_class = []\n", + "for predics in predictions:\n", + " m = np.argmax(predics)\n", + " predict_class.append(m)\n", + "predict_class = np.array(predict_class)\n", + "predict_class\n", + "target_names = ['class 0', 'class 1', 'class 2']\n", + "print(classification_report(predict_class,y_test,target_names=target_names))\n", + "# print(classification_report(predict_class,y_test, ))\n", + "# print classification report" + ], + "metadata": { + "id": "fJ-ZtU84r66Z", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "d87e97a1-9b1e-425b-9f9e-a610e892552a" + }, + "execution_count": 54, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " precision recall f1-score support\n", + "\n", + " class 0 0.98 0.99 0.99 738\n", + " class 1 1.00 0.95 0.98 791\n", + " class 2 0.96 1.00 0.98 717\n", + "\n", + " accuracy 0.98 2246\n", + " macro avg 0.98 0.98 0.98 2246\n", + "weighted avg 0.98 0.98 0.98 2246\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(confusion_matrix(predict_class,y_test))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ioNqT3DXPnl-", + "outputId": "4eaadc53-b820-4253-94e0-c90399ee8639" + }, + "execution_count": 56, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "[[733 0 5]\n", + " [ 15 755 21]\n", + " [ 1 1 715]]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Use the classification report to print precision, recall, f1-score for the three classes(optional, brownie points)" + ], + "metadata": { + "id": "VytDxkswrvXw" + }, + "execution_count": 41, + "outputs": [] + } + ] +} \ No newline at end of file