Notebook-VGG16.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "pilvLlonAQ3h"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "from pathlib import Path\n",
        "import os.path\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from tensorflow.keras.preprocessing import image\n",
        "import tensorflow as tf\n",
        "\n",
        "from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions\n",
        "from tensorflow.keras.preprocessing import image\n",
        "from tensorflow.keras.models import Model\n",
        "from tensorflow.keras.optimizers import Adam\n",
        "from tensorflow.keras.optimizers import RMSprop\n",
        "from tensorflow.keras import layers\n",
        "\n",
        "\n",
        "from tensorflow.keras.applications.inception_v3 import InceptionV3\n",
        "from tensorflow.keras.applications.vgg16 import VGG16\n",
        "from tensorflow.keras.applications import ResNet50\n",
        "from tensorflow.keras.layers import Dense, Dropout, BatchNormalization\n",
        "from sklearn.metrics import confusion_matrix, classification_report\n",
        "import time"
      ],
      "id": "pilvLlonAQ3h"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "Y-ONPg2DAhSb"
      },
      "outputs": [],
      "source": [
        "image_dir = Path(r'/content/drive/MyDrive/HUMZA_FYP/Classification_dataset')\n"
      ],
      "id": "Y-ONPg2DAhSb"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "c8_O_oleASsF"
      },
      "outputs": [],
      "source": [
        "filepaths = list(image_dir.glob(r'**/*.jpg'))\n",
        "labels = list(map(lambda x: os.path.split(os.path.split(x)[0])[1], filepaths))\n",
        "\n",
        "\n",
        "filepaths = pd.Series(filepaths, name='Filepath').astype(str)\n",
        "labels = pd.Series(labels, name='Label')\n",
        "\n",
        "images = pd.concat([filepaths, labels], axis=1)\n",
        "\n",
        "category_samples = []\n",
        "for category in images['Label'].unique():\n",
        "    category_slice = images.query(\"Label == @category\")\n",
        "    category_samples.append(category_slice.sample(100, random_state=1))\n",
        "image_df = pd.concat(category_samples, axis=0).sample(frac=1.0, random_state=1).reset_index(drop=True)"
      ],
      "id": "c8_O_oleASsF"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YuFSimweAWOK",
        "outputId": "fbf0b8cb-184e-42be-9a87-466dab5a04fb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "id": "YuFSimweAWOK"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "T2urrkcHBsKU",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c0a43a96-3220-4a9e-abf1-b4f287d03f3a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 448 validated image filenames belonging to 8 classes.\n",
            "Found 112 validated image filenames belonging to 8 classes.\n",
            "Found 240 validated image filenames belonging to 8 classes.\n",
            "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
            "58889256/58889256 [==============================] - 0s 0us/step\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.\n",
            "<ipython-input-9-e3d2a5041c1f>:88: UserWarning: `Model.fit_generator` is deprecated and will be removed in a future version. Please use `Model.fit`, which supports generators.\n",
            "  history = model1.fit_generator(train_images,\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/15\n",
            "14/14 [==============================] - 161s 11s/step - loss: 6.9891 - acc: 0.2054 - val_loss: 1.5297 - val_acc: 0.5104\n",
            "Epoch 2/15\n",
            "14/14 [==============================] - 6s 440ms/step - loss: 1.7352 - acc: 0.5112 - val_loss: 0.8965 - val_acc: 0.7500\n",
            "Epoch 3/15\n",
            "14/14 [==============================] - 6s 439ms/step - loss: 0.7812 - acc: 0.7701 - val_loss: 0.5456 - val_acc: 0.8750\n",
            "Epoch 4/15\n",
            "14/14 [==============================] - 6s 411ms/step - loss: 0.5781 - acc: 0.8192 - val_loss: 0.4792 - val_acc: 0.8646\n",
            "Epoch 5/15\n",
            "14/14 [==============================] - 7s 518ms/step - loss: 0.4772 - acc: 0.8504 - val_loss: 0.3495 - val_acc: 0.9271\n",
            "Epoch 6/15\n",
            "14/14 [==============================] - 6s 403ms/step - loss: 0.3446 - acc: 0.8951 - val_loss: 0.3113 - val_acc: 0.9271\n",
            "Epoch 7/15\n",
            "14/14 [==============================] - 7s 477ms/step - loss: 0.2326 - acc: 0.9464 - val_loss: 0.2491 - val_acc: 0.9479\n",
            "Epoch 8/15\n",
            "14/14 [==============================] - 6s 405ms/step - loss: 0.1905 - acc: 0.9598 - val_loss: 0.1795 - val_acc: 0.9583\n",
            "Epoch 9/15\n",
            "14/14 [==============================] - 6s 412ms/step - loss: 0.2060 - acc: 0.9487 - val_loss: 0.2905 - val_acc: 0.9271\n",
            "Epoch 10/15\n",
            "14/14 [==============================] - 7s 472ms/step - loss: 0.1532 - acc: 0.9732 - val_loss: 0.2149 - val_acc: 0.9479\n",
            "Epoch 11/15\n",
            "14/14 [==============================] - 6s 412ms/step - loss: 0.1336 - acc: 0.9754 - val_loss: 0.1971 - val_acc: 0.9375\n",
            "Epoch 12/15\n",
            "14/14 [==============================] - 7s 495ms/step - loss: 0.1169 - acc: 0.9799 - val_loss: 0.2557 - val_acc: 0.9375\n",
            "Epoch 13/15\n",
            "14/14 [==============================] - 6s 415ms/step - loss: 0.1260 - acc: 0.9710 - val_loss: 0.2633 - val_acc: 0.9271\n",
            "Epoch 14/15\n",
            "14/14 [==============================] - 10s 735ms/step - loss: 0.1294 - acc: 0.9732 - val_loss: 0.2530 - val_acc: 0.9271\n",
            "Epoch 15/15\n",
            "14/14 [==============================] - 9s 653ms/step - loss: 0.0931 - acc: 0.9866 - val_loss: 0.2440 - val_acc: 0.9271\n",
            "Test Accuracy: 96.25%\n"
          ]
        }
      ],
      "source": [
        "train_df, test_df = train_test_split(image_df, train_size=0.7, shuffle=True, random_state=1)\n",
        "\n",
        "train_generator = tf.keras.preprocessing.image.ImageDataGenerator(\n",
        "    preprocessing_function=tf.keras.applications.mobilenet_v2.preprocess_input,\n",
        "    validation_split=0.2\n",
        ")\n",
        "\n",
        "test_generator = tf.keras.preprocessing.image.ImageDataGenerator(\n",
        "    preprocessing_function=tf.keras.applications.mobilenet_v2.preprocess_input\n",
        ")\n",
        "\n",
        "train_images = train_generator.flow_from_dataframe(\n",
        "    dataframe=train_df,\n",
        "    x_col='Filepath',\n",
        "    y_col='Label',\n",
        "    target_size=(224, 224),\n",
        "    color_mode='rgb',\n",
        "    class_mode='categorical',\n",
        "    batch_size=32,\n",
        "    shuffle=True,\n",
        "    seed=42,\n",
        "    subset='training'\n",
        ")\n",
        "\n",
        "val_images = train_generator.flow_from_dataframe(\n",
        "    dataframe=train_df,\n",
        "    x_col='Filepath',\n",
        "    y_col='Label',\n",
        "    target_size=(224, 224),\n",
        "    color_mode='rgb',\n",
        "    class_mode='categorical',\n",
        "    batch_size=32,\n",
        "    shuffle=True,\n",
        "    seed=42,\n",
        "    subset='validation'\n",
        ")\n",
        "\n",
        "test_images = test_generator.flow_from_dataframe(\n",
        "    dataframe=test_df,\n",
        "    x_col='Filepath',\n",
        "    y_col='Label',\n",
        "    target_size=(224, 224),\n",
        "    color_mode='rgb',\n",
        "    class_mode='categorical',\n",
        "    batch_size=32,\n",
        "    shuffle=False\n",
        ")\n",
        "\n",
        "batch_size = 16\n",
        "img_height = 228\n",
        "img_width = 228\n",
        "channels = 3\n",
        "img_shape = (img_height, img_width, channels)\n",
        "\n",
        "# pre_trained = InceptionV3(weights='imagenet', include_top=False, input_shape=img_shape, pooling='avg')\n",
        "pre_trained = VGG16(input_shape = img_shape,include_top = False, weights = 'imagenet')\n",
        "\n",
        "\n",
        "for layer in pre_trained.layers:\n",
        "    layer.trainable = False\n",
        "    \n",
        "num_c = 8\n",
        "\n",
        "\n",
        "# x = pre_trained.output\n",
        "# x = BatchNormalization(axis=-1, momentum=0.99, epsilon=0.001)(x)\n",
        "# x = Dropout(0.2)(x)\n",
        "# x = Dense(1024, activation='LeakyReLU')(x)\n",
        "# x = Dropout(0.2)(x)\n",
        "# predictions = Dense(num_c, activation='softmax')(x)\n",
        "\n",
        "# model1 = Model(inputs = pre_trained.input, outputs = predictions)\n",
        "# model1.compile(optimizer = Adam(learning_rate=0.0001), loss='categorical_crossentropy', metrics=['accuracy'])\n",
        "\n",
        "\n",
        "x = layers.Flatten()(pre_trained.output)\n",
        "x = layers.Dense(512, activation='relu')(x)\n",
        "x = layers.Dropout(0.5)(x)\n",
        "x = layers.Dense(8, activation='softmax')(x)\n",
        "model1 = tf.keras.models.Model(pre_trained.input, x)\n",
        "\n",
        "model1.compile(optimizer = Adam(lr=0.0001), loss = 'categorical_crossentropy',metrics = ['acc'])\n",
        "\n",
        "\n",
        "STEP_SIZE_TRAIN = train_images.n // train_images.batch_size\n",
        "STEP_SIZE_VALID = val_images.n // val_images.batch_size\n",
        "\n",
        "history = model1.fit_generator(train_images,\n",
        "                    steps_per_epoch = STEP_SIZE_TRAIN,\n",
        "                    validation_data = val_images,\n",
        "                    validation_steps = STEP_SIZE_VALID,\n",
        "                    epochs = 15,\n",
        "                    verbose = 1)\n",
        "\n",
        "results = model1.evaluate(test_images, verbose=0)\n",
        "print(\"Test Accuracy: {:.2f}%\".format(results[1] * 100))"
      ],
      "id": "T2urrkcHBsKU"
    },
    {
      "cell_type": "code",
      "source": [
        "plt.xlabel('Epoch Number')\n",
        "plt.ylabel('Loss')\n",
        "plt.plot(history.history['loss'], label='training set')\n",
        "plt.plot(history.history['val_loss'], label='test set')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "o8IxAaEHb9vU",
        "outputId": "b720f1ce-af93-4019-dfdf-69a5c384c865"
      },
      "id": "o8IxAaEHb9vU",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fbcbfb712a0>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.xlabel('Epoch Number')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.plot(history.history['acc'], label='training set')\n",
        "plt.plot(history.history['val_acc'], label='test set')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "_H-DCMd6b_Po",
        "outputId": "afb8a837-74d6-43dd-f617-73e21fe85ce9"
      },
      "id": "_H-DCMd6b_Po",
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fbcb045fee0>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "predictions = np.argmax(model1.predict(test_images), axis=1)\n",
        "\n",
        "cm = confusion_matrix(test_images.labels, predictions)\n",
        "clr = classification_report(test_images.labels, predictions, \n",
        "                            target_names=test_images.class_indices, \n",
        "                            zero_division=0)"
      ],
      "metadata": {
        "id": "6nmO52gafYGf",
        "outputId": "e3bac728-eda7-418c-de1b-5f6fd3901f8e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "id": "6nmO52gafYGf",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "8/8 [==============================] - 3s 300ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(30, 30))\n",
        "sns.heatmap(cm, annot=True, fmt='g', vmin=0, cmap='Blues', cbar=False)\n",
        "plt.xticks(ticks=np.arange(num_c) + 0.5, labels=test_images.class_indices, rotation=90)\n",
        "plt.yticks(ticks=np.arange(num_c) + 0.5, labels=test_images.class_indices, rotation=0)\n",
        "plt.xlabel(\"Predicted\")\n",
        "plt.ylabel(\"Actual\")\n",
        "plt.title(\"Confusion Matrix\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "e2mhoqJ5cA1Z",
        "outputId": "776894a4-6b46-4d5f-c789-951629b37105"
      },
      "id": "e2mhoqJ5cA1Z",
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 3000x3000 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "d0njIFyAGlkc"
      },
      "outputs": [],
      "source": [
        "# from keras.models import load_model\n",
        "\n",
        "# model1.save('model_1_v2.h5')"
      ],
      "id": "d0njIFyAGlkc"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "SdYd9JpIbCPH"
      },
      "outputs": [],
      "source": [
        "image_dir = Path(r'/content/drive/MyDrive/HUMZA_FYP/Grading Dataset')\n",
        "\n",
        "filepaths = list(image_dir.glob(r'**/*.jpg'))\n",
        "labels = list(map(lambda x: os.path.split(os.path.split(x)[0])[1], filepaths))\n",
        "\n",
        "filepaths = pd.Series(filepaths, name='Filepath').astype(str)\n",
        "labels = pd.Series(labels, name='Label')\n",
        "\n",
        "images = pd.concat([filepaths, labels], axis=1)\n",
        "\n",
        "category_samples = []\n",
        "for category in images['Label'].unique():\n",
        "    category_slice = images.query(\"Label == @category\")\n",
        "    category_samples.append(category_slice.sample(200, random_state=1))\n",
        "image_df = pd.concat(category_samples, axis=0).sample(frac=1.0, random_state=1).reset_index(drop=True)\n",
        "\n",
        "train_df, test_df = train_test_split(image_df, train_size=0.7, shuffle=True, random_state=1)"
      ],
      "id": "SdYd9JpIbCPH"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "mJc1DFQlbb26"
      },
      "outputs": [],
      "source": [
        "strr = str(train_df['Filepath'].iloc[2])"
      ],
      "id": "mJc1DFQlbb26"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 362
        },
        "id": "Zs_7P_hMbZ1p",
        "outputId": "97401ddf-98a2-430a-eee3-3ab282b67e9f"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "%matplotlib inline\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.image as mpimg\n",
        "img = mpimg.imread(strr)\n",
        "imgplot = plt.imshow(img)\n",
        "plt.show()"
      ],
      "id": "Zs_7P_hMbZ1p"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zXyEMH13Gssn",
        "outputId": "efad7e3f-1528-4560-ec7e-56ffbd0f4f8a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 336 validated image filenames belonging to 3 classes.\n",
            "Found 84 validated image filenames belonging to 3 classes.\n",
            "Found 180 validated image filenames belonging to 3 classes.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.\n",
            "<ipython-input-21-31e86d792e6e>:87: UserWarning: `Model.fit_generator` is deprecated and will be removed in a future version. Please use `Model.fit`, which supports generators.\n",
            "  history = model2.fit_generator(train_images,\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "10/10 [==============================] - 81s 8s/step - loss: 6.6758 - acc: 0.3520 - val_loss: 1.4054 - val_acc: 0.6250\n",
            "Epoch 2/10\n",
            "10/10 [==============================] - 3s 343ms/step - loss: 2.2928 - acc: 0.5000 - val_loss: 0.4527 - val_acc: 0.7812\n",
            "Epoch 3/10\n",
            "10/10 [==============================] - 4s 438ms/step - loss: 0.8853 - acc: 0.7072 - val_loss: 0.3713 - val_acc: 0.8750\n",
            "Epoch 4/10\n",
            "10/10 [==============================] - 4s 419ms/step - loss: 0.5078 - acc: 0.8125 - val_loss: 0.4090 - val_acc: 0.7969\n",
            "Epoch 5/10\n",
            "10/10 [==============================] - 3s 343ms/step - loss: 0.3204 - acc: 0.8750 - val_loss: 0.3608 - val_acc: 0.8281\n",
            "Epoch 6/10\n",
            "10/10 [==============================] - 6s 624ms/step - loss: 0.2917 - acc: 0.8947 - val_loss: 0.3140 - val_acc: 0.8438\n",
            "Epoch 7/10\n",
            "10/10 [==============================] - 3s 345ms/step - loss: 0.2282 - acc: 0.9145 - val_loss: 0.3211 - val_acc: 0.9062\n",
            "Epoch 8/10\n",
            "10/10 [==============================] - 3s 347ms/step - loss: 0.2404 - acc: 0.9276 - val_loss: 0.2924 - val_acc: 0.8906\n",
            "Epoch 9/10\n",
            "10/10 [==============================] - 5s 464ms/step - loss: 0.2130 - acc: 0.9375 - val_loss: 0.3101 - val_acc: 0.8594\n",
            "Epoch 10/10\n",
            "10/10 [==============================] - 4s 403ms/step - loss: 0.1773 - acc: 0.9605 - val_loss: 0.2754 - val_acc: 0.9062\n",
            "Test Accuracy: 90.56%\n"
          ]
        }
      ],
      "source": [
        "\n",
        "\n",
        "train_generator = tf.keras.preprocessing.image.ImageDataGenerator(\n",
        "    preprocessing_function=tf.keras.applications.mobilenet_v2.preprocess_input,\n",
        "    validation_split=0.2\n",
        ")\n",
        "\n",
        "test_generator = tf.keras.preprocessing.image.ImageDataGenerator(\n",
        "    preprocessing_function=tf.keras.applications.mobilenet_v2.preprocess_input\n",
        ")\n",
        "\n",
        "\n",
        "train_images = train_generator.flow_from_dataframe(\n",
        "    dataframe=train_df,\n",
        "    x_col='Filepath',\n",
        "    y_col='Label',\n",
        "    target_size=(224, 224),\n",
        "    color_mode='rgb',\n",
        "    class_mode='categorical',\n",
        "    batch_size=32,\n",
        "    shuffle=True,\n",
        "    seed=42,\n",
        "    subset='training'\n",
        ")\n",
        "\n",
        "val_images = train_generator.flow_from_dataframe(\n",
        "    dataframe=train_df,\n",
        "    x_col='Filepath',\n",
        "    y_col='Label',\n",
        "    target_size=(224, 224),\n",
        "    color_mode='rgb',\n",
        "    class_mode='categorical',\n",
        "    batch_size=32,\n",
        "    shuffle=True,\n",
        "    seed=42,\n",
        "    subset='validation'\n",
        ")\n",
        "\n",
        "test_images = test_generator.flow_from_dataframe(\n",
        "    dataframe=test_df,\n",
        "    x_col='Filepath',\n",
        "    y_col='Label',\n",
        "    target_size=(224, 224),\n",
        "    color_mode='rgb',\n",
        "    class_mode='categorical',\n",
        "    batch_size=32,\n",
        "    shuffle=False\n",
        ")\n",
        "\n",
        "batch_size = 16\n",
        "img_height = 228\n",
        "img_width = 228\n",
        "channels = 3\n",
        "img_shape = (img_height, img_width, channels)\n",
        "\n",
        "\n",
        "# pre_trained = InceptionV3(weights='imagenet', include_top=False, input_shape=img_shape, pooling='avg')\n",
        "pre_trained = VGG16(input_shape = img_shape,include_top = False, weights = 'imagenet')\n",
        "\n",
        "\n",
        "for layer in pre_trained.layers:\n",
        "    layer.trainable = False\n",
        "    \n",
        "num_c = 3\n",
        "\n",
        "# x = pre_trained.output\n",
        "# x = BatchNormalization(axis=-1, momentum=0.99, epsilon=0.001)(x)\n",
        "# x = Dropout(0.2)(x)\n",
        "# x = Dense(1024, activation='LeakyReLU')(x)\n",
        "# x = Dropout(0.2)(x)\n",
        "# predictions = Dense(num_c, activation='softmax')(x)\n",
        "\n",
        "# model2 = Model(inputs = pre_trained.input, outputs = predictions)\n",
        "# model2.compile(optimizer = Adam(learning_rate=0.0001), loss='categorical_crossentropy', metrics=['accuracy'])\n",
        "\n",
        "x = layers.Flatten()(pre_trained.output)\n",
        "x = layers.Dense(512, activation='relu')(x)\n",
        "x = layers.Dropout(0.5)(x)\n",
        "x = layers.Dense(3, activation='softmax')(x)\n",
        "model2 = tf.keras.models.Model(pre_trained.input, x)\n",
        "\n",
        "model2.compile(optimizer = Adam(lr=0.0001), loss = 'categorical_crossentropy',metrics = ['acc'])\n",
        "\n",
        "\n",
        "STEP_SIZE_TRAIN = train_images.n // train_images.batch_size\n",
        "\n",
        "STEP_SIZE_VALID = val_images.n // val_images.batch_size\n",
        "\n",
        "history = model2.fit_generator(train_images,\n",
        "                    steps_per_epoch = STEP_SIZE_TRAIN,\n",
        "                    validation_data = val_images,\n",
        "                    validation_steps = STEP_SIZE_VALID,\n",
        "                    epochs = 10,\n",
        "                    verbose = 1)\n",
        "\n",
        "results = model2.evaluate(test_images, verbose=0)\n",
        "print(\"Test Accuracy: {:.2f}%\".format(results[1] * 100))"
      ],
      "id": "zXyEMH13Gssn"
    },
    {
      "cell_type": "code",
      "source": [
        "plt.xlabel('Epoch Number')\n",
        "plt.ylabel('Loss')\n",
        "plt.plot(history.history['loss'], label='training set')\n",
        "plt.plot(history.history['val_loss'], label='test set')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "uR0W0mCtcHaW",
        "outputId": "5f93cbb9-9215-4208-f791-864b5d096207"
      },
      "id": "uR0W0mCtcHaW",
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fbc9c2ade40>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.xlabel('Epoch Number')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.plot(history.history['acc'], label='training set')\n",
        "plt.plot(history.history['val_acc'], label='test set')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "ePMNEbHHcMXZ",
        "outputId": "88f87f80-3cbc-468a-942c-15650014b54b"
      },
      "id": "ePMNEbHHcMXZ",
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fbc9c33ffa0>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "predictions = np.argmax(model2.predict(test_images), axis=1)\n",
        "\n",
        "cm = confusion_matrix(test_images.labels, predictions)\n",
        "clr = classification_report(test_images.labels, predictions, \n",
        "                            target_names=test_images.class_indices, \n",
        "                            zero_division=0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-s3py0oscN50",
        "outputId": "df2b49b2-7867-44a4-b096-670827b38fb3"
      },
      "id": "-s3py0oscN50",
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "6/6 [==============================] - 2s 351ms/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(30, 30))\n",
        "sns.heatmap(cm, annot=True, fmt='g', vmin=0, cmap='Blues', cbar=False)\n",
        "plt.xticks(ticks=np.arange(num_c) + 0.5, labels=test_images.class_indices, rotation=90)\n",
        "plt.yticks(ticks=np.arange(num_c) + 0.5, labels=test_images.class_indices, rotation=0)\n",
        "plt.xlabel(\"Predicted\")\n",
        "plt.ylabel(\"Actual\")\n",
        "plt.title(\"Confusion Matrix\")\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "l5qzT87Zg9Zs",
        "outputId": "c290e612-c9d9-4285-bdc6-0765753d2400",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "id": "l5qzT87Zg9Zs",
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 3000x3000 with 1 Axes>"
            ],
            "image/png": 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          "metadata": {}
        }
      ]
    }
  ],
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    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
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      "language": "python",
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        "name": "ipython",
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      "file_extension": ".py",
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