Model 2 - CNN increase.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 33276,
     "status": "ok",
     "timestamp": 1676717100532,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "qzPWNwpIpe2C",
    "outputId": "52ecd0a5-43db-4629-bb84-d20d4c4e0883"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "executionInfo": {
     "elapsed": 984,
     "status": "ok",
     "timestamp": 1676717105166,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "l3Mi4rbxczEK"
   },
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import os\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "0CTZ2lN6ett3"
   },
   "outputs": [],
   "source": [
    "#!pip install unrar\n",
    "%cd /content/drive/MyDrive/dataincrease\n",
    "!unrar x /content/drive/MyDrive/dataincrease/images.rar "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 8,
     "status": "ok",
     "timestamp": 1676717657438,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "rIDfNzEAeaCC",
    "outputId": "d48ed4e1-8530-45e4-c6d6-d9b4f7a5fd0f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['images.rar', 'styles.csv', 'images']\n"
     ]
    }
   ],
   "source": [
    "DATASET_PATH = \"/content/drive/MyDrive/dataincrease/\"\n",
    "print(os.listdir(DATASET_PATH))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 272246,
     "status": "ok",
     "timestamp": 1676717932396,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "T_fnb55FedcQ",
    "outputId": "cddda6dc-f8b5-4cd6-d64d-579a0649d1ff"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "79596\n"
     ]
    }
   ],
   "source": [
    "data_path = \"/content/drive/MyDrive/dataincrease/images/\"\n",
    "print(len(os.listdir(data_path)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 524
    },
    "execution": {
     "iopub.execute_input": "2020-11-14T19:37:55.683578Z",
     "iopub.status.busy": "2020-11-14T19:37:55.682899Z",
     "iopub.status.idle": "2020-11-14T19:38:00.393150Z",
     "shell.execute_reply": "2020-11-14T19:38:00.393687Z"
    },
    "executionInfo": {
     "elapsed": 177630,
     "status": "ok",
     "timestamp": 1676718125152,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "n0pvaEBYvXvr",
    "outputId": "f3a01652-ede2-435f-8218-2ee8f87082f8",
    "papermill": {
     "duration": 4.818566,
     "end_time": "2020-11-14T19:38:00.393849",
     "exception": false,
     "start_time": "2020-11-14T19:37:55.575283",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['images.rar', 'styles.csv', 'images']\n",
      "10000.jpg\n",
      "10001.jpg\n",
      "10002.jpg\n",
      "10003.jpg\n",
      "10004.jpg\n",
      "10005.jpg\n",
      "10006.jpg\n",
      "10007.jpg\n",
      "10008.jpg\n",
      "10009.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# what is inside the main directory\n",
    "list_directory = os.listdir(DATASET_PATH)\n",
    "print(list_directory)\n",
    "\n",
    "# each time directory files gets reordered. That's why needed to find where images folder is.\n",
    "index=0\n",
    "for i in range (len(list_directory)):\n",
    "    if list_directory[i]==\"images\":\n",
    "        index=i\n",
    "        break\n",
    "\n",
    "# what is in the image directory\n",
    "imageIndex = os.listdir(DATASET_PATH+list_directory[index])\n",
    "# print(type(imageIndex))\n",
    "head = 10\n",
    "\n",
    "# collecting some samples in list\n",
    "sampleImages = []\n",
    "\n",
    "# showing indices\n",
    "for i in range (head):\n",
    "    sampleImages.append(imageIndex[i])\n",
    "    print(sampleImages[i])\n",
    "\n",
    "# choosing some samples to observe\n",
    "fig=plt.figure()\n",
    "fig.set_figheight(15)\n",
    "fig.set_figwidth(15)\n",
    "axis=[]\n",
    "row = len(sampleImages)/2\n",
    "col = row+1\n",
    "\n",
    "for i in range (len(sampleImages)):\n",
    "    Image_path=DATASET_PATH+list_directory[index]+\"/\"+sampleImages[i]\n",
    "    src = cv2.imread(Image_path)\n",
    "    image = cv2.cvtColor(src, cv2.COLOR_BGR2RGB) \n",
    "    axis.append(fig.add_subplot(row, col, i+1))\n",
    "    subplot_title=sampleImages[i]\n",
    "    axis[-1].set_title(subplot_title)  \n",
    "    plt.imshow(image)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 456
    },
    "executionInfo": {
     "elapsed": 823,
     "status": "ok",
     "timestamp": 1676718134118,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "IpYo5Y9zefhA",
    "outputId": "dfaffb7b-7fd6-4182-ac4e-daad03e458a5"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py:3326: FutureWarning: The error_bad_lines argument has been deprecated and will be removed in a future version.\n",
      "\n",
      "\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"df-51907221-f33a-409e-b33c-19cd5acdbbcf\">\n",
       "    <div class=\"colab-df-container\">\n",
       "      <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>masterCategory</th>\n",
       "      <th>image</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15970</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>15970.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39386</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>39386.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>59263</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>59263.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21379</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>21379.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>53759</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>53759.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1855</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>1855.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>30805</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>30805.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>26960</td>\n",
       "      <td>Apparel</td>\n",
       "      <td>26960.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>29114</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>29114.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>30039</td>\n",
       "      <td>Accessories</td>\n",
       "      <td>30039.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-51907221-f33a-409e-b33c-19cd5acdbbcf')\"\n",
       "              title=\"Convert this dataframe to an interactive table.\"\n",
       "              style=\"display:none;\">\n",
       "        \n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "       width=\"24px\">\n",
       "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
       "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
       "  </svg>\n",
       "      </button>\n",
       "      \n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      flex-wrap:wrap;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "      <script>\n",
       "        const buttonEl =\n",
       "          document.querySelector('#df-51907221-f33a-409e-b33c-19cd5acdbbcf button.colab-df-convert');\n",
       "        buttonEl.style.display =\n",
       "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "        async function convertToInteractive(key) {\n",
       "          const element = document.querySelector('#df-51907221-f33a-409e-b33c-19cd5acdbbcf');\n",
       "          const dataTable =\n",
       "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                     [key], {});\n",
       "          if (!dataTable) return;\n",
       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "            + ' to learn more about interactive tables.';\n",
       "          element.innerHTML = '';\n",
       "          dataTable['output_type'] = 'display_data';\n",
       "          await google.colab.output.renderOutput(dataTable, element);\n",
       "          const docLink = document.createElement('div');\n",
       "          docLink.innerHTML = docLinkHtml;\n",
       "          element.appendChild(docLink);\n",
       "        }\n",
       "      </script>\n",
       "    </div>\n",
       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "      id masterCategory      image\n",
       "0  15970        Apparel  15970.jpg\n",
       "1  39386        Apparel  39386.jpg\n",
       "2  59263    Accessories  59263.jpg\n",
       "3  21379        Apparel  21379.jpg\n",
       "4  53759        Apparel  53759.jpg\n",
       "5   1855        Apparel   1855.jpg\n",
       "6  30805        Apparel  30805.jpg\n",
       "7  26960        Apparel  26960.jpg\n",
       "8  29114    Accessories  29114.jpg\n",
       "9  30039    Accessories  30039.jpg"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(DATASET_PATH + \"styles.csv\", nrows=100000, error_bad_lines=False)\n",
    "df.drop(df.columns[0], axis=1, inplace=True)\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 23836,
     "status": "ok",
     "timestamp": 1676718162550,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "XJmkIVTTgIMI",
    "outputId": "67e10b18-6b39-4b16-a5fa-d44be6a6f72d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 63677 validated image filenames belonging to 3 classes.\n",
      "Found 15919 validated image filenames belonging to 3 classes.\n"
     ]
    }
   ],
   "source": [
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "\n",
    "#image generator object from keras. reference : Keras Docs\n",
    "image_generator = ImageDataGenerator(\n",
    "    validation_split=0.2, rescale=1/255, shear_range = 0.2, zoom_range = 0.2, horizontal_flip = True\n",
    ")\n",
    "\n",
    "#create a flow of images for training the model.\n",
    "training_generator = image_generator.flow_from_dataframe(\n",
    "    dataframe = df,\n",
    "    directory= \"/content/drive/MyDrive/dataincrease/images/\",\n",
    "    x_col=\"image\",\n",
    "    y_col=\"masterCategory\",\n",
    "    target_size=(224,224),\n",
    "    batch_size=32,\n",
    "    subset=\"training\"\n",
    "\n",
    ")\n",
    "\n",
    "#create a flow of images for validating(testing) the trained model.\n",
    "validation_generator = image_generator.flow_from_dataframe(\n",
    "    dataframe = df,\n",
    "    directory=\"/content/drive/MyDrive/dataincrease/images/\",\n",
    "    x_col=\"image\",\n",
    "    y_col=\"masterCategory\",\n",
    "    target_size=(224,224),\n",
    "    batch_size=32,\n",
    "    subset=\"validation\"\n",
    ")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-11-14T19:49:49.400826Z",
     "iopub.status.busy": "2020-11-14T19:49:49.400131Z",
     "iopub.status.idle": "2020-11-14T19:49:55.488171Z",
     "shell.execute_reply": "2020-11-14T19:49:55.487421Z"
    },
    "executionInfo": {
     "elapsed": 1038,
     "status": "ok",
     "timestamp": 1676718248630,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "L6K8fdZYlO5R",
    "papermill": {
     "duration": 6.147919,
     "end_time": "2020-11-14T19:49:55.488297",
     "exception": false,
     "start_time": "2020-11-14T19:49:49.340378",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Conv2D, MaxPooling2D, UpSampling2D, Flatten, Dense, Dropout\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "import os\n",
    "import tensorflow as tf\n",
    "import datetime, os\n",
    "from tensorflow.keras.callbacks import TensorBoard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 3483,
     "status": "ok",
     "timestamp": 1676718257736,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "6bLC-Ts1vLAp",
    "outputId": "25f1a947-b8ff-4190-ec1e-eb91328c024f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " conv2d (Conv2D)             (None, 221, 221, 16)      784       \n",
      "                                                                 \n",
      " max_pooling2d (MaxPooling2D  (None, 110, 110, 16)     0         \n",
      " )                                                               \n",
      "                                                                 \n",
      " conv2d_1 (Conv2D)           (None, 108, 108, 32)      4640      \n",
      "                                                                 \n",
      " max_pooling2d_1 (MaxPooling  (None, 54, 54, 32)       0         \n",
      " 2D)                                                             \n",
      "                                                                 \n",
      " conv2d_2 (Conv2D)           (None, 52, 52, 64)        18496     \n",
      "                                                                 \n",
      " max_pooling2d_2 (MaxPooling  (None, 26, 26, 64)       0         \n",
      " 2D)                                                             \n",
      "                                                                 \n",
      " conv2d_3 (Conv2D)           (None, 24, 24, 64)        36928     \n",
      "                                                                 \n",
      " max_pooling2d_3 (MaxPooling  (None, 12, 12, 64)       0         \n",
      " 2D)                                                             \n",
      "                                                                 \n",
      " conv2d_4 (Conv2D)           (None, 10, 10, 128)       73856     \n",
      "                                                                 \n",
      " max_pooling2d_4 (MaxPooling  (None, 5, 5, 128)        0         \n",
      " 2D)                                                             \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 3200)              0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 512)               1638912   \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 512)               0         \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 256)               131328    \n",
      "                                                                 \n",
      " dropout_1 (Dropout)         (None, 256)               0         \n",
      "                                                                 \n",
      " dense_2 (Dense)             (None, 128)               32896     \n",
      "                                                                 \n",
      " dropout_2 (Dropout)         (None, 128)               0         \n",
      "                                                                 \n",
      " dense_3 (Dense)             (None, 3)                 387       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 1,938,227\n",
      "Trainable params: 1,938,227\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from keras import layers,models\n",
    "model1 = Sequential()\n",
    "#model.add(Flatten(input_shape=(28, 28)))strides = (2,2),\n",
    "model1.add(layers.Conv2D(16, (4,4),  activation = 'relu' , input_shape = (224,224,3)))\n",
    "model1.add(MaxPooling2D(pool_size = (2, 2)))\n",
    "\n",
    "model1.add(Conv2D(32, (3,3), activation='relu'))\n",
    "model1.add(MaxPooling2D(pool_size = (2, 2)))\n",
    "\n",
    "model1.add(Conv2D(64, (3,3), activation='relu'))\n",
    "model1.add(MaxPooling2D(pool_size = (2, 2)))\n",
    "\n",
    "model1.add(Conv2D(64, (3,3), activation='relu'))\n",
    "model1.add(MaxPooling2D(pool_size = (2, 2)))\n",
    "\n",
    "model1.add(Conv2D(128, (3,3), activation='relu'))\n",
    "model1.add(MaxPooling2D(pool_size = (2, 2)))\n",
    "\n",
    "\n",
    "model1.add(Flatten())\n",
    "model1.add(Dense(units=512, activation='relu'))\n",
    "model1.add(Dropout(0.25))\n",
    "model1.add(Dense(units=256, activation='relu'))\n",
    "model1.add(Dropout(0.25))\n",
    "model1.add(Dense(units=128, activation='relu'))\n",
    "model1.add(Dropout(0.25))\n",
    "model1.add(Dense(units=3, activation='softmax'))\n",
    "\n",
    "model1.compile(optimizer='adam',\n",
    "              loss='categorical_crossentropy',\n",
    "              metrics=['accuracy'])\n",
    "\n",
    "model1.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 6946250,
     "status": "ok",
     "timestamp": 1676726524099,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "QymMMkIhvP9A",
    "outputId": "ec099cad-55cf-4c3a-87e1-b3488145836a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/40\n",
      "10/10 [==============================] - 215s 22s/step - loss: 1.0553 - accuracy: 0.4031 - val_loss: 1.0695 - val_accuracy: 0.5171\n",
      "Epoch 2/40\n",
      "10/10 [==============================] - 207s 23s/step - loss: 1.0566 - accuracy: 0.4625 - val_loss: 1.0586 - val_accuracy: 0.5171\n",
      "Epoch 3/40\n",
      "10/10 [==============================] - 206s 23s/step - loss: 1.0690 - accuracy: 0.4125 - val_loss: 1.0959 - val_accuracy: 0.2464\n",
      "Epoch 4/40\n",
      "10/10 [==============================] - 194s 21s/step - loss: 1.0845 - accuracy: 0.3906 - val_loss: 1.0710 - val_accuracy: 0.6094\n",
      "Epoch 5/40\n",
      "10/10 [==============================] - 193s 21s/step - loss: 1.0462 - accuracy: 0.5156 - val_loss: 0.9738 - val_accuracy: 0.6760\n",
      "Epoch 6/40\n",
      "10/10 [==============================] - 206s 23s/step - loss: 0.8555 - accuracy: 0.6313 - val_loss: 0.6662 - val_accuracy: 0.7082\n",
      "Epoch 7/40\n",
      "10/10 [==============================] - 206s 23s/step - loss: 0.7938 - accuracy: 0.6906 - val_loss: 0.7090 - val_accuracy: 0.6685\n",
      "Epoch 8/40\n",
      "10/10 [==============================] - 189s 21s/step - loss: 0.6948 - accuracy: 0.7437 - val_loss: 0.8186 - val_accuracy: 0.6638\n",
      "Epoch 9/40\n",
      "10/10 [==============================] - 189s 21s/step - loss: 0.6666 - accuracy: 0.7031 - val_loss: 0.7116 - val_accuracy: 0.7227\n",
      "Epoch 10/40\n",
      "10/10 [==============================] - 189s 21s/step - loss: 0.7111 - accuracy: 0.7406 - val_loss: 0.6599 - val_accuracy: 0.7097\n",
      "Epoch 11/40\n",
      "10/10 [==============================] - 191s 21s/step - loss: 0.5478 - accuracy: 0.7812 - val_loss: 0.5348 - val_accuracy: 0.7715\n",
      "Epoch 12/40\n",
      "10/10 [==============================] - 192s 21s/step - loss: 0.6444 - accuracy: 0.7125 - val_loss: 0.5489 - val_accuracy: 0.7872\n",
      "Epoch 13/40\n",
      "10/10 [==============================] - 188s 21s/step - loss: 0.6027 - accuracy: 0.7500 - val_loss: 0.6153 - val_accuracy: 0.7396\n",
      "Epoch 14/40\n",
      "10/10 [==============================] - 190s 21s/step - loss: 0.6441 - accuracy: 0.7375 - val_loss: 0.4622 - val_accuracy: 0.8038\n",
      "Epoch 15/40\n",
      "10/10 [==============================] - 190s 21s/step - loss: 0.4902 - accuracy: 0.8188 - val_loss: 0.5130 - val_accuracy: 0.7906\n",
      "Epoch 16/40\n",
      "10/10 [==============================] - 191s 21s/step - loss: 0.5641 - accuracy: 0.7688 - val_loss: 0.6043 - val_accuracy: 0.7604\n",
      "Epoch 17/40\n",
      "10/10 [==============================] - 206s 23s/step - loss: 0.5471 - accuracy: 0.7812 - val_loss: 0.4765 - val_accuracy: 0.8098\n",
      "Epoch 18/40\n",
      "10/10 [==============================] - 191s 21s/step - loss: 0.4568 - accuracy: 0.8500 - val_loss: 0.4352 - val_accuracy: 0.8338\n",
      "Epoch 19/40\n",
      "10/10 [==============================] - 190s 21s/step - loss: 0.4324 - accuracy: 0.8406 - val_loss: 0.4029 - val_accuracy: 0.8437\n",
      "Epoch 20/40\n",
      "10/10 [==============================] - 191s 21s/step - loss: 0.4309 - accuracy: 0.8375 - val_loss: 0.4325 - val_accuracy: 0.8230\n",
      "Epoch 21/40\n",
      "10/10 [==============================] - 190s 21s/step - loss: 0.4085 - accuracy: 0.8375 - val_loss: 0.3619 - val_accuracy: 0.8588\n",
      "Epoch 22/40\n",
      "10/10 [==============================] - 189s 21s/step - loss: 0.4195 - accuracy: 0.8375 - val_loss: 0.4706 - val_accuracy: 0.8167\n",
      "Epoch 23/40\n",
      "10/10 [==============================] - 191s 21s/step - loss: 0.4117 - accuracy: 0.8344 - val_loss: 0.4132 - val_accuracy: 0.8450\n",
      "Epoch 24/40\n",
      "10/10 [==============================] - 189s 21s/step - loss: 0.4661 - accuracy: 0.8188 - val_loss: 0.3719 - val_accuracy: 0.8610\n",
      "Epoch 25/40\n",
      "10/10 [==============================] - 187s 21s/step - loss: 0.4780 - accuracy: 0.8406 - val_loss: 0.3607 - val_accuracy: 0.8560\n",
      "Epoch 26/40\n",
      "10/10 [==============================] - 188s 21s/step - loss: 0.3605 - accuracy: 0.8656 - val_loss: 0.3989 - val_accuracy: 0.8447\n",
      "Epoch 27/40\n",
      "10/10 [==============================] - 187s 21s/step - loss: 0.4632 - accuracy: 0.8313 - val_loss: 0.3690 - val_accuracy: 0.8557\n",
      "Epoch 28/40\n",
      "10/10 [==============================] - 188s 21s/step - loss: 0.3248 - accuracy: 0.8719 - val_loss: 0.3654 - val_accuracy: 0.8729\n",
      "Epoch 29/40\n",
      "10/10 [==============================] - 188s 21s/step - loss: 0.3574 - accuracy: 0.8375 - val_loss: 0.2933 - val_accuracy: 0.8850\n",
      "Epoch 30/40\n",
      "10/10 [==============================] - 190s 21s/step - loss: 0.4417 - accuracy: 0.8531 - val_loss: 0.3003 - val_accuracy: 0.8852\n",
      "Epoch 31/40\n",
      "10/10 [==============================] - 189s 21s/step - loss: 0.3737 - accuracy: 0.8594 - val_loss: 0.3081 - val_accuracy: 0.8781\n",
      "Epoch 32/40\n",
      "10/10 [==============================] - 188s 21s/step - loss: 0.3856 - accuracy: 0.8625 - val_loss: 0.3449 - val_accuracy: 0.8679\n",
      "Epoch 33/40\n",
      "10/10 [==============================] - 188s 21s/step - loss: 0.3722 - accuracy: 0.8781 - val_loss: 0.2450 - val_accuracy: 0.9090\n",
      "Epoch 34/40\n",
      "10/10 [==============================] - 189s 21s/step - loss: 0.3168 - accuracy: 0.8781 - val_loss: 0.3297 - val_accuracy: 0.8682\n",
      "Epoch 35/40\n",
      "10/10 [==============================] - 206s 23s/step - loss: 0.3660 - accuracy: 0.8562 - val_loss: 0.3124 - val_accuracy: 0.8705\n",
      "Epoch 36/40\n",
      "10/10 [==============================] - 189s 21s/step - loss: 0.3172 - accuracy: 0.9000 - val_loss: 0.3252 - val_accuracy: 0.8689\n",
      "Epoch 37/40\n",
      "10/10 [==============================] - 188s 21s/step - loss: 0.4182 - accuracy: 0.8469 - val_loss: 0.3179 - val_accuracy: 0.8698\n",
      "Epoch 38/40\n",
      "10/10 [==============================] - 206s 23s/step - loss: 0.2946 - accuracy: 0.9000 - val_loss: 0.2802 - val_accuracy: 0.8894\n",
      "Epoch 39/40\n",
      "10/10 [==============================] - 188s 21s/step - loss: 0.3903 - accuracy: 0.8469 - val_loss: 0.3386 - val_accuracy: 0.8695\n",
      "Epoch 40/40\n",
      "10/10 [==============================] - 189s 21s/step - loss: 0.3643 - accuracy: 0.8656 - val_loss: 0.2942 - val_accuracy: 0.8877\n"
     ]
    }
   ],
   "source": [
    "history = model1.fit(training_generator, epochs=40, validation_data=validation_generator, steps_per_epoch=10, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 316
    },
    "executionInfo": {
     "elapsed": 1715,
     "status": "ok",
     "timestamp": 1676726547443,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "P6bB5B1Ggmbp",
    "outputId": "012ee3c6-c297-4f4c-e3eb-753ad3e8c238"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Accuracy evolution')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1152 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 16))\n",
    "\n",
    "plt.subplot(2, 2, 1)\n",
    "plt.plot(model1.history.history['loss'], label='Loss')\n",
    "plt.plot(model1.history.history['val_loss'], label='val_Loss')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.title('Loss evolution')\n",
    "\n",
    "plt.subplot(2, 2, 2)\n",
    "plt.plot(model1.history.history['accuracy'], label='accuracy')\n",
    "plt.plot(model1.history.history['val_accuracy'], label='val_accuracy')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.title('Accuracy evolution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "executionInfo": {
     "elapsed": 2,
     "status": "ok",
     "timestamp": 1676726605798,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "QnwSXpKxkJ1e"
   },
   "outputs": [],
   "source": [
    "model1.save('CNN_increase.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "executionInfo": {
     "elapsed": 678,
     "status": "ok",
     "timestamp": 1676726618652,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "M4bUp2FTkVuo"
   },
   "outputs": [],
   "source": [
    "from keras import models\n",
    "model1 = models.load_model('CNN_increase.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 84323,
     "status": "ok",
     "timestamp": 1676726708334,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "ZdHu7j0xnKpf",
    "outputId": "15510d59-618b-46a1-d195-0bd6dd3264f9"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 97/97 [01:23<00:00,  1.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3136, 224, 224, 3) (3136, 3)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "batch_size = 32\n",
    "#!pip install tqdm\n",
    "import tqdm\n",
    "validation_generator.reset()\n",
    "X_test, y_test = next(validation_generator)\n",
    "for i in tqdm.tqdm(range(int(validation_generator.n/batch_size)-400)): \n",
    "  img, label = next(validation_generator)\n",
    "  X_test = np.append(X_test, img, axis=0 )\n",
    "  y_test = np.append(y_test, label, axis=0)\n",
    "print(X_test.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "execution": {
     "iopub.execute_input": "2020-11-14T20:34:16.551443Z",
     "iopub.status.busy": "2020-11-14T20:34:16.550753Z",
     "iopub.status.idle": "2020-11-14T20:34:17.288221Z",
     "shell.execute_reply": "2020-11-14T20:34:17.287474Z"
    },
    "executionInfo": {
     "elapsed": 4578,
     "status": "ok",
     "timestamp": 1676726954337,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "xPj14NBFvXv2",
    "outputId": "ffefb258-8fa0-439d-df09-e862162471fd",
    "papermill": {
     "duration": 11.452942,
     "end_time": "2020-11-14T20:34:17.288341",
     "exception": false,
     "start_time": "2020-11-14T20:34:05.835399",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "98/98 [==============================] - 2s 15ms/step\n",
      "[0 1 0 ... 2 1 1]\n"
     ]
    }
   ],
   "source": [
    "#predicted_classes = model.predict_classes(X_test)\n",
    "\n",
    "y_predict=model1.predict(X_test) \n",
    "predicted_classes=np.argmax(y_predict,axis=1)\n",
    "print(predicted_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "executionInfo": {
     "elapsed": 488,
     "status": "ok",
     "timestamp": 1676726958497,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "CQKFYyhJm_wh"
   },
   "outputs": [],
   "source": [
    "y_test = np.argmax(y_test, axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 610
    },
    "executionInfo": {
     "elapsed": 2064,
     "status": "ok",
     "timestamp": 1676726962531,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "GamoAqtIuKIJ",
    "outputId": "d3359d04-7729-4c02-9ff4-c030f28011a3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2ebc2df580>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "from sklearn.metrics import confusion_matrix\n",
    "cm = confusion_matrix(y_test, predicted_classes)\n",
    "plt.figure(figsize = (10,10))\n",
    "sns.heatmap(cm, annot=True, cmap = 'Pastel1', fmt='g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 143
    },
    "executionInfo": {
     "elapsed": 886,
     "status": "ok",
     "timestamp": 1676726968703,
     "user": {
      "displayName": "Trang Phạm",
      "userId": "08060891123619162968"
     },
     "user_tz": -420
    },
    "id": "hZpUhcfxulXT",
    "outputId": "6bf19610-9898-4049-c4d8-3e711373dc86"
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "  <div id=\"df-94c52ebb-8e2f-48ba-ba97-ca5253392b9a\">\n",
       "    <div class=\"colab-df-container\">\n",
       "      <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Predicted Accessories</th>\n",
       "      <th>Predicted Apparel</th>\n",
       "      <th>Predicted Footwear</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Actually Accessories</th>\n",
       "      <td>583</td>\n",
       "      <td>144</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actually Apparel</th>\n",
       "      <td>51</td>\n",
       "      <td>1587</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actually Footwear</th>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>629</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-94c52ebb-8e2f-48ba-ba97-ca5253392b9a')\"\n",
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       "\n",
       "    .colab-df-convert {\n",
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       "      border: none;\n",
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       "      fill: #174EA6;\n",
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       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
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       "    [theme=dark] .colab-df-convert:hover {\n",
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       "        const buttonEl =\n",
       "          document.querySelector('#df-94c52ebb-8e2f-48ba-ba97-ca5253392b9a button.colab-df-convert');\n",
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       "          const element = document.querySelector('#df-94c52ebb-8e2f-48ba-ba97-ca5253392b9a');\n",
       "          const dataTable =\n",
       "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                     [key], {});\n",
       "          if (!dataTable) return;\n",
       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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       "          element.appendChild(docLink);\n",
       "        }\n",
       "      </script>\n",
       "    </div>\n",
       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "                      Predicted Accessories  Predicted Apparel  \\\n",
       "Actually Accessories                    583                144   \n",
       "Actually Apparel                         51               1587   \n",
       "Actually Footwear                        13                  1   \n",
       "\n",
       "                      Predicted Footwear  \n",
       "Actually Accessories                 100  \n",
       "Actually Apparel                      28  \n",
       "Actually Footwear                    629  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm_df = pd.DataFrame(cm)\n",
    "cm_df.columns = [ 'Predicted Accessories','Predicted Apparel', 'Predicted Footwear']\n",
    "cm_final_df = cm_df.rename(index={0: 'Actually Accessories', 1: 'Actually Apparel', 2: 'Actually Footwear'})\n",
    "cm_final_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
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      "displayName": "Trang Phạm",
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    },
    "id": "mcdW1BjduxD3",
    "outputId": "c947af68-0693-4ddb-e13f-94e694ad38e5"
   },
   "outputs": [
    {
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       "      <th>Precision</th>\n",
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      "text/plain": [
       "   Precision    Recall  F1_score\n",
       "0   0.882758  0.878589  0.874565"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import precision_score\n",
    "from sklearn.metrics import recall_score\n",
    "from sklearn.metrics import f1_score\n",
    "\n",
    "Precision = precision_score(y_test, predicted_classes,average='macro')\n",
    "Recall = recall_score(y_test, predicted_classes,average='macro')\n",
    "F1_score = f1_score(y_test, predicted_classes, average='macro')\n",
    "\n",
    "df_metrix = pd.DataFrame(data = [(Precision, Recall, F1_score)], columns = ['Precision', 'Recall', 'F1_score'])\n",
    "df_metrix"
   ]
  }
 ],
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