early_plant_disease_prediction_system.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Early Plant Disease Prediction System"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "id": "jjOGsQ84L7gu"
   },
   "outputs": [],
   "source": [
    "# importing required libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n",
    "import cv2\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras import models,layers\n",
    "from sklearn.metrics import confusion_matrix\n",
    "import pathlib\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "PuWNz5VP6f8-"
   },
   "outputs": [],
   "source": [
    "IMG= 100          # width of image\n",
    "BATCH= 64         # number of images for each batch\n",
    "EPOCH= 80        # number of epochs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "WAPoU6pb8yjT",
    "outputId": "125f8090-0ca6-4dd2-e56b-29e5e9555738"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 70295 files belonging to 38 classes.\n"
     ]
    }
   ],
   "source": [
    "# Loading the training dataset\n",
    "\n",
    "path=pathlib.Path(\"C:\\\\Users\\\\HP\\\\Desktop\\\\New Plant Diseases Dataset(Augmented)\\\\train\") # Setting up path for training data\n",
    "\n",
    "train_ds=tf.keras.preprocessing.image_dataset_from_directory(path,         # path of directory where the training data is located\n",
    "                                                             seed=111,     # seed value for reproducible results\n",
    "                                                   image_size=(IMG, IMG),  # size to resize images to after they are read\n",
    "                                                   batch_size=BATCH)       # size of each batch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "QeVcC6CsK67R",
    "outputId": "ba635c55-fcba-49c2-da9d-58840d2ff07a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 17572 files belonging to 38 classes.\n",
      "Using 8786 files for training.\n",
      "Using 8786 files for validation.\n"
     ]
    }
   ],
   "source": [
    "# Loading validation and testing dataset\n",
    "\n",
    "temp_path=pathlib.Path(\"C:\\\\Users\\\\HP\\\\Desktop\\\\New Plant Diseases Dataset(Augmented)\\\\valid\") # Setting up path for validation and testing data\n",
    "\n",
    "test_ds, valid_ds=tf.keras.preprocessing.image_dataset_from_directory(temp_path, # path of directory where the data is located\n",
    "                                                             seed=111,           # seed value for reproducible results\n",
    "                                                   image_size=(IMG, IMG),        # size to resize images to after they are read\n",
    "                                                   validation_split=0.5,         # fraction of data to reserve for validation\n",
    "                                                   subset='both',                # to return a tuple of two datasets \n",
    "                                                   batch_size=BATCH)             # size of each batch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "5Yv4eITZvAya",
    "outputId": "66997f3b-eb0d-4112-a7b9-ba1cbccaf0fa"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of batches in training dataset   =  1099\n",
      "Number of batches in validation dataset =  138\n",
      "Number of batches in testing dataset    =  138\n"
     ]
    }
   ],
   "source": [
    "# Each batch is containing 10 samples\n",
    "print(\"Number of batches in training dataset   = \", len(train_ds))\n",
    "print(\"Number of batches in validation dataset = \", len(valid_ds))\n",
    "print(\"Number of batches in testing dataset    = \", len(test_ds))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing dataset distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_names=dict(zip(train_ds.class_names, ['Apple__scab', 'Apple_black_rot','Apple_cedar_rust','Apple_healthy','Blueberry_healthy', 'Cherry_powdery_mildew','Cherry__healthy',\n",
    " 'Corn__cercospora_leaf_spot','Corn_common_rust','Corn_northern_leaf_blight','Corn_healthy', 'Grape_black_rot','Grape__black_measles',\n",
    " 'Grape__leaf_blight','Grape_healthy','Orange_haunglongbing','Peach_bacterial_spot','Peach_healthy','Pepper__bacterial_spot',\n",
    " 'Pepper__healthy','Potato_early_blight','Potato_late_blight','Potato_healthy','Raspberry_healthy','Soybean__healthy',\n",
    " 'Squash__Powdery_mildew','Strawberry_leaf_scorch','Strawberry_healthy','Tomato_bacterial_spot','Tomato__early_blight',\n",
    " 'Tomato__late_blight','Tomato_leaf_mold','Tomato_septoria_leaf_spot','Tomato_spider_mites','Tomato__target_spot',\n",
    " 'Tomato__YLC_Virus','Tomato_TMV','Tomato__healthy']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# User-defined function to plot the distribution\n",
    "def visualize_distribution(ds, x):\n",
    "    \n",
    "    freq={}\n",
    "    for path in ds.file_paths:\n",
    "        name=path[64:].split('\\\\')[0]\n",
    "        freq[class_names[name]] = freq.get(class_names[name],0)+1\n",
    "\n",
    "    plt.figure(figsize=(15,5))\n",
    "    plt.bar(range(len(freq)), freq.values(), color=\"green\")\n",
    "    plt.xticks(range(len(freq)), freq.keys())\n",
    "    for i in plt.gca().get_xticklabels():\n",
    "        i.set_rotation(90)\n",
    "    plt.xlabel(\"Classes\")\n",
    "    plt.ylabel(\"Frequency\")\n",
    "    plt.title(x+\": Classwise frequency distribution\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizing classwise frequency distribution for training data\n",
    "visualize_distribution(train_ds,\"Training data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizing classwise frequency distribution for validation data\n",
    "visualize_distribution(valid_ds, \"Validation data: \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizing classwise frequency distribution for testing data\n",
    "visualize_distribution(test_ds, \"Testing data: \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ykzJMCMEXPZ5"
   },
   "source": [
    "## Convolutional Neural Network(CNN) model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "Sps7-1ZQCIa5"
   },
   "outputs": [],
   "source": [
    "random.seed(111) # seed value for reproducible results \n",
    "\n",
    "# Architecture of Convolutional Neural Network(CNN) Model\n",
    "\n",
    "model= models.Sequential([    \n",
    "\n",
    "    layers.experimental.preprocessing.Rescaling(1.0/255),         # Re-scaling the input sample\n",
    "\n",
    "    layers.Conv2D(64, kernel_size=(2,2), padding=\"same\", activation=\"relu\", kernel_regularizer=tf.keras.regularizers.l2(0.005),\n",
    "                  input_shape=(IMG, IMG)), # Convolution Layer-1\n",
    "    layers.MaxPooling2D(pool_size=(3,3)), # Pooling Layer-1\n",
    "    layers.BatchNormalization(),\n",
    "\n",
    "    layers.Conv2D(64, kernel_size=(3,3), activation=\"relu\", kernel_regularizer=tf.keras.regularizers.l2(0.003)), # Convolution Layer-2\n",
    "    layers.MaxPooling2D(pool_size=(3,3)), # Pooling Layer-2\n",
    "    layers.BatchNormalization(),\n",
    "    layers.Dropout(0.5),\n",
    "\n",
    "    layers.Flatten(), # Flattening the input vector\n",
    "    layers.Dense(100, activation=\"relu\"), # Dense Layer\n",
    "    layers.Dense(38, activation='softmax') # Output Layer\n",
    "])\n",
    "\n",
    "# Compiling the model\n",
    "model.compile(\n",
    "    optimizer=\"adam\",       # adam optimizer\n",
    "    loss=\"sparse_categorical_crossentropy\", # loss function\n",
    "    metrics=['accuracy', 'sparse_categorical_crossentropy']  # considering accuracy as a metric\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " rescaling (Rescaling)       (None, 100, 100, 3)       0         \n",
      "                                                                 \n",
      " conv2d (Conv2D)             (None, 100, 100, 64)      832       \n",
      "                                                                 \n",
      " max_pooling2d (MaxPooling2D  (None, 33, 33, 64)       0         \n",
      " )                                                               \n",
      "                                                                 \n",
      " batch_normalization (BatchN  (None, 33, 33, 64)       256       \n",
      " ormalization)                                                   \n",
      "                                                                 \n",
      " conv2d_1 (Conv2D)           (None, 31, 31, 64)        36928     \n",
      "                                                                 \n",
      " max_pooling2d_1 (MaxPooling  (None, 10, 10, 64)       0         \n",
      " 2D)                                                             \n",
      "                                                                 \n",
      " batch_normalization_1 (Batc  (None, 10, 10, 64)       256       \n",
      " hNormalization)                                                 \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 10, 10, 64)        0         \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 6400)              0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 100)               640100    \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 38)                3838      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 682,210\n",
      "Trainable params: 681,954\n",
      "Non-trainable params: 256\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# Displaying model's architecture\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 235
    },
    "id": "oKdHMc9mnEVR",
    "outputId": "14766995-d7a0-4a0e-ecc8-609e97b5bf72",
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/80\n",
      "1099/1099 [==============================] - 216s 196ms/step - loss: 0.9663 - accuracy: 0.7618 - sparse_categorical_crossentropy: 0.8187 - val_loss: 0.8570 - val_accuracy: 0.7796 - val_sparse_categorical_crossentropy: 0.7368\n",
      "Epoch 2/80\n",
      "1099/1099 [==============================] - 216s 197ms/step - loss: 0.4100 - accuracy: 0.9040 - sparse_categorical_crossentropy: 0.3063 - val_loss: 0.4460 - val_accuracy: 0.8927 - val_sparse_categorical_crossentropy: 0.3524\n",
      "Epoch 3/80\n",
      "1099/1099 [==============================] - 217s 197ms/step - loss: 0.3082 - accuracy: 0.9283 - sparse_categorical_crossentropy: 0.2219 - val_loss: 1.3366 - val_accuracy: 0.7091 - val_sparse_categorical_crossentropy: 1.2543\n",
      "Epoch 4/80\n",
      "1099/1099 [==============================] - 218s 198ms/step - loss: 0.2659 - accuracy: 0.9396 - sparse_categorical_crossentropy: 0.1865 - val_loss: 0.4451 - val_accuracy: 0.8919 - val_sparse_categorical_crossentropy: 0.3667\n",
      "Epoch 5/80\n",
      "1099/1099 [==============================] - 221s 201ms/step - loss: 0.2301 - accuracy: 0.9496 - sparse_categorical_crossentropy: 0.1554 - val_loss: 0.4279 - val_accuracy: 0.9029 - val_sparse_categorical_crossentropy: 0.3559\n",
      "Epoch 6/80\n",
      "1099/1099 [==============================] - 216s 197ms/step - loss: 0.2225 - accuracy: 0.9516 - sparse_categorical_crossentropy: 0.1496 - val_loss: 0.4433 - val_accuracy: 0.8997 - val_sparse_categorical_crossentropy: 0.3727\n",
      "Epoch 7/80\n",
      "1099/1099 [==============================] - 217s 197ms/step - loss: 0.2045 - accuracy: 0.9570 - sparse_categorical_crossentropy: 0.1346 - val_loss: 1.2637 - val_accuracy: 0.7603 - val_sparse_categorical_crossentropy: 1.1943\n",
      "Epoch 8/80\n",
      "1099/1099 [==============================] - 218s 198ms/step - loss: 0.1914 - accuracy: 0.9599 - sparse_categorical_crossentropy: 0.1236 - val_loss: 0.3363 - val_accuracy: 0.9242 - val_sparse_categorical_crossentropy: 0.2707\n",
      "Epoch 9/80\n",
      "1099/1099 [==============================] - 217s 197ms/step - loss: 0.1754 - accuracy: 0.9645 - sparse_categorical_crossentropy: 0.1107 - val_loss: 0.3328 - val_accuracy: 0.9266 - val_sparse_categorical_crossentropy: 0.2696\n",
      "Epoch 10/80\n",
      "1099/1099 [==============================] - 217s 197ms/step - loss: 0.1720 - accuracy: 0.9648 - sparse_categorical_crossentropy: 0.1093 - val_loss: 1.8022 - val_accuracy: 0.6914 - val_sparse_categorical_crossentropy: 1.7400\n",
      "Epoch 11/80\n",
      "1099/1099 [==============================] - 215s 196ms/step - loss: 0.1637 - accuracy: 0.9660 - sparse_categorical_crossentropy: 0.1019 - val_loss: 0.3187 - val_accuracy: 0.9265 - val_sparse_categorical_crossentropy: 0.2578\n",
      "Epoch 12/80\n",
      "1099/1099 [==============================] - 217s 198ms/step - loss: 0.1519 - accuracy: 0.9702 - sparse_categorical_crossentropy: 0.0920 - val_loss: 0.4649 - val_accuracy: 0.8969 - val_sparse_categorical_crossentropy: 0.4069\n",
      "Epoch 13/80\n",
      "1099/1099 [==============================] - 218s 198ms/step - loss: 0.1465 - accuracy: 0.9710 - sparse_categorical_crossentropy: 0.0891 - val_loss: 0.3074 - val_accuracy: 0.9322 - val_sparse_categorical_crossentropy: 0.2502\n",
      "Epoch 14/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.1408 - accuracy: 0.9729 - sparse_categorical_crossentropy: 0.0841 - val_loss: 0.3246 - val_accuracy: 0.9256 - val_sparse_categorical_crossentropy: 0.2696\n",
      "Epoch 15/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.1327 - accuracy: 0.9740 - sparse_categorical_crossentropy: 0.0786 - val_loss: 0.4801 - val_accuracy: 0.8923 - val_sparse_categorical_crossentropy: 0.4274\n",
      "Epoch 16/80\n",
      "1099/1099 [==============================] - 223s 203ms/step - loss: 0.1348 - accuracy: 0.9731 - sparse_categorical_crossentropy: 0.0807 - val_loss: 0.3099 - val_accuracy: 0.9368 - val_sparse_categorical_crossentropy: 0.2559\n",
      "Epoch 17/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.1277 - accuracy: 0.9753 - sparse_categorical_crossentropy: 0.0743 - val_loss: 0.6438 - val_accuracy: 0.8692 - val_sparse_categorical_crossentropy: 0.5917\n",
      "Epoch 18/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.1256 - accuracy: 0.9757 - sparse_categorical_crossentropy: 0.0735 - val_loss: 0.5247 - val_accuracy: 0.8875 - val_sparse_categorical_crossentropy: 0.4726\n",
      "Epoch 19/80\n",
      "1099/1099 [==============================] - 221s 201ms/step - loss: 0.1243 - accuracy: 0.9765 - sparse_categorical_crossentropy: 0.0719 - val_loss: 0.2501 - val_accuracy: 0.9446 - val_sparse_categorical_crossentropy: 0.1987\n",
      "Epoch 20/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.1147 - accuracy: 0.9779 - sparse_categorical_crossentropy: 0.0646 - val_loss: 0.2248 - val_accuracy: 0.9524 - val_sparse_categorical_crossentropy: 0.1752\n",
      "Epoch 21/80\n",
      "1099/1099 [==============================] - 220s 200ms/step - loss: 0.1175 - accuracy: 0.9772 - sparse_categorical_crossentropy: 0.0677 - val_loss: 0.1910 - val_accuracy: 0.9599 - val_sparse_categorical_crossentropy: 0.1419\n",
      "Epoch 22/80\n",
      "1099/1099 [==============================] - 222s 202ms/step - loss: 0.1135 - accuracy: 0.9784 - sparse_categorical_crossentropy: 0.0651 - val_loss: 0.2497 - val_accuracy: 0.9435 - val_sparse_categorical_crossentropy: 0.1998\n",
      "Epoch 23/80\n",
      "1099/1099 [==============================] - 227s 207ms/step - loss: 0.1083 - accuracy: 0.9796 - sparse_categorical_crossentropy: 0.0600 - val_loss: 0.3094 - val_accuracy: 0.9373 - val_sparse_categorical_crossentropy: 0.2622\n",
      "Epoch 24/80\n",
      "1099/1099 [==============================] - 219s 200ms/step - loss: 0.1088 - accuracy: 0.9794 - sparse_categorical_crossentropy: 0.0618 - val_loss: 0.2151 - val_accuracy: 0.9542 - val_sparse_categorical_crossentropy: 0.1686\n",
      "Epoch 25/80\n",
      "1099/1099 [==============================] - 220s 200ms/step - loss: 0.1053 - accuracy: 0.9802 - sparse_categorical_crossentropy: 0.0587 - val_loss: 0.1992 - val_accuracy: 0.9615 - val_sparse_categorical_crossentropy: 0.1541\n",
      "Epoch 26/80\n",
      "1099/1099 [==============================] - 231s 210ms/step - loss: 0.1024 - accuracy: 0.9809 - sparse_categorical_crossentropy: 0.0574 - val_loss: 0.2735 - val_accuracy: 0.9385 - val_sparse_categorical_crossentropy: 0.2291\n",
      "Epoch 27/80\n",
      "1099/1099 [==============================] - 236s 214ms/step - loss: 0.0969 - accuracy: 0.9826 - sparse_categorical_crossentropy: 0.0526 - val_loss: 0.2097 - val_accuracy: 0.9573 - val_sparse_categorical_crossentropy: 0.1675\n",
      "Epoch 28/80\n",
      "1099/1099 [==============================] - 239s 217ms/step - loss: 0.0977 - accuracy: 0.9818 - sparse_categorical_crossentropy: 0.0549 - val_loss: 0.2871 - val_accuracy: 0.9374 - val_sparse_categorical_crossentropy: 0.2442\n",
      "Epoch 29/80\n",
      "1099/1099 [==============================] - 236s 215ms/step - loss: 0.0974 - accuracy: 0.9817 - sparse_categorical_crossentropy: 0.0542 - val_loss: 0.7448 - val_accuracy: 0.8534 - val_sparse_categorical_crossentropy: 0.7030\n",
      "Epoch 30/80\n",
      "1099/1099 [==============================] - 221s 201ms/step - loss: 0.0915 - accuracy: 0.9830 - sparse_categorical_crossentropy: 0.0496 - val_loss: 0.2643 - val_accuracy: 0.9434 - val_sparse_categorical_crossentropy: 0.2233\n",
      "Epoch 31/80\n",
      "1099/1099 [==============================] - 220s 200ms/step - loss: 0.0962 - accuracy: 0.9824 - sparse_categorical_crossentropy: 0.0542 - val_loss: 0.4041 - val_accuracy: 0.9182 - val_sparse_categorical_crossentropy: 0.3612\n",
      "Epoch 32/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.0883 - accuracy: 0.9843 - sparse_categorical_crossentropy: 0.0466 - val_loss: 0.2451 - val_accuracy: 0.9445 - val_sparse_categorical_crossentropy: 0.2048\n",
      "Epoch 33/80\n",
      "1099/1099 [==============================] - 227s 206ms/step - loss: 0.0927 - accuracy: 0.9832 - sparse_categorical_crossentropy: 0.0513 - val_loss: 0.1897 - val_accuracy: 0.9596 - val_sparse_categorical_crossentropy: 0.1478\n",
      "Epoch 34/80\n",
      "1099/1099 [==============================] - 223s 203ms/step - loss: 0.0884 - accuracy: 0.9847 - sparse_categorical_crossentropy: 0.0474 - val_loss: 0.4380 - val_accuracy: 0.9021 - val_sparse_categorical_crossentropy: 0.3965\n",
      "Epoch 35/80\n",
      "1099/1099 [==============================] - 223s 203ms/step - loss: 0.0884 - accuracy: 0.9840 - sparse_categorical_crossentropy: 0.0475 - val_loss: 0.3453 - val_accuracy: 0.9273 - val_sparse_categorical_crossentropy: 0.3047\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 36/80\n",
      "1099/1099 [==============================] - 222s 202ms/step - loss: 0.0865 - accuracy: 0.9846 - sparse_categorical_crossentropy: 0.0458 - val_loss: 0.1734 - val_accuracy: 0.9646 - val_sparse_categorical_crossentropy: 0.1331\n",
      "Epoch 37/80\n",
      "1099/1099 [==============================] - 217s 198ms/step - loss: 0.0875 - accuracy: 0.9844 - sparse_categorical_crossentropy: 0.0466 - val_loss: 0.2190 - val_accuracy: 0.9532 - val_sparse_categorical_crossentropy: 0.1791\n",
      "Epoch 38/80\n",
      "1099/1099 [==============================] - 217s 198ms/step - loss: 0.0878 - accuracy: 0.9844 - sparse_categorical_crossentropy: 0.0466 - val_loss: 0.2178 - val_accuracy: 0.9561 - val_sparse_categorical_crossentropy: 0.1762\n",
      "Epoch 39/80\n",
      "1099/1099 [==============================] - 217s 198ms/step - loss: 0.0851 - accuracy: 0.9852 - sparse_categorical_crossentropy: 0.0440 - val_loss: 0.3175 - val_accuracy: 0.9309 - val_sparse_categorical_crossentropy: 0.2767\n",
      "Epoch 40/80\n",
      "1099/1099 [==============================] - 217s 198ms/step - loss: 0.0858 - accuracy: 0.9850 - sparse_categorical_crossentropy: 0.0449 - val_loss: 0.4118 - val_accuracy: 0.9135 - val_sparse_categorical_crossentropy: 0.3692\n",
      "Epoch 41/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.0880 - accuracy: 0.9847 - sparse_categorical_crossentropy: 0.0466 - val_loss: 0.5265 - val_accuracy: 0.8927 - val_sparse_categorical_crossentropy: 0.4838\n",
      "Epoch 42/80\n",
      "1099/1099 [==============================] - 217s 198ms/step - loss: 0.0839 - accuracy: 0.9853 - sparse_categorical_crossentropy: 0.0434 - val_loss: 0.4110 - val_accuracy: 0.9155 - val_sparse_categorical_crossentropy: 0.3710\n",
      "Epoch 43/80\n",
      "1099/1099 [==============================] - 221s 201ms/step - loss: 0.0818 - accuracy: 0.9862 - sparse_categorical_crossentropy: 0.0420 - val_loss: 0.3432 - val_accuracy: 0.9276 - val_sparse_categorical_crossentropy: 0.3046\n",
      "Epoch 44/80\n",
      "1099/1099 [==============================] - 217s 197ms/step - loss: 0.0818 - accuracy: 0.9858 - sparse_categorical_crossentropy: 0.0423 - val_loss: 0.2205 - val_accuracy: 0.9547 - val_sparse_categorical_crossentropy: 0.1810\n",
      "Epoch 45/80\n",
      "1099/1099 [==============================] - 218s 199ms/step - loss: 0.0818 - accuracy: 0.9860 - sparse_categorical_crossentropy: 0.0423 - val_loss: 0.2493 - val_accuracy: 0.9464 - val_sparse_categorical_crossentropy: 0.2097\n",
      "Epoch 46/80\n",
      "1099/1099 [==============================] - 219s 200ms/step - loss: 0.0823 - accuracy: 0.9861 - sparse_categorical_crossentropy: 0.0428 - val_loss: 3.0253 - val_accuracy: 0.6325 - val_sparse_categorical_crossentropy: 2.9855\n",
      "Epoch 47/80\n",
      "1099/1099 [==============================] - 229s 208ms/step - loss: 0.0807 - accuracy: 0.9866 - sparse_categorical_crossentropy: 0.0415 - val_loss: 0.2149 - val_accuracy: 0.9538 - val_sparse_categorical_crossentropy: 0.1764\n",
      "Epoch 48/80\n",
      "1099/1099 [==============================] - 232s 211ms/step - loss: 0.0816 - accuracy: 0.9860 - sparse_categorical_crossentropy: 0.0419 - val_loss: 0.5432 - val_accuracy: 0.8911 - val_sparse_categorical_crossentropy: 0.5043\n",
      "Epoch 49/80\n",
      "1099/1099 [==============================] - 230s 209ms/step - loss: 0.0790 - accuracy: 0.9864 - sparse_categorical_crossentropy: 0.0397 - val_loss: 0.2843 - val_accuracy: 0.9440 - val_sparse_categorical_crossentropy: 0.2455\n",
      "Epoch 50/80\n",
      "1099/1099 [==============================] - 217s 197ms/step - loss: 0.0810 - accuracy: 0.9863 - sparse_categorical_crossentropy: 0.0416 - val_loss: 0.4484 - val_accuracy: 0.9086 - val_sparse_categorical_crossentropy: 0.4080\n",
      "Epoch 51/80\n",
      "1099/1099 [==============================] - 220s 200ms/step - loss: 0.0790 - accuracy: 0.9870 - sparse_categorical_crossentropy: 0.0396 - val_loss: 0.4250 - val_accuracy: 0.9142 - val_sparse_categorical_crossentropy: 0.3848\n",
      "Epoch 52/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.0776 - accuracy: 0.9872 - sparse_categorical_crossentropy: 0.0382 - val_loss: 0.2686 - val_accuracy: 0.9437 - val_sparse_categorical_crossentropy: 0.2299\n",
      "Epoch 53/80\n",
      "1099/1099 [==============================] - 233s 212ms/step - loss: 0.0808 - accuracy: 0.9863 - sparse_categorical_crossentropy: 0.0412 - val_loss: 0.2757 - val_accuracy: 0.9423 - val_sparse_categorical_crossentropy: 0.2373\n",
      "Epoch 54/80\n",
      "1099/1099 [==============================] - 230s 209ms/step - loss: 0.0769 - accuracy: 0.9874 - sparse_categorical_crossentropy: 0.0378 - val_loss: 0.2033 - val_accuracy: 0.9610 - val_sparse_categorical_crossentropy: 0.1644\n",
      "Epoch 55/80\n",
      "1099/1099 [==============================] - 232s 211ms/step - loss: 0.0812 - accuracy: 0.9866 - sparse_categorical_crossentropy: 0.0414 - val_loss: 0.2665 - val_accuracy: 0.9446 - val_sparse_categorical_crossentropy: 0.2279\n",
      "Epoch 56/80\n",
      "1099/1099 [==============================] - 233s 212ms/step - loss: 0.0771 - accuracy: 0.9868 - sparse_categorical_crossentropy: 0.0383 - val_loss: 0.2333 - val_accuracy: 0.9552 - val_sparse_categorical_crossentropy: 0.1932\n",
      "Epoch 57/80\n",
      "1099/1099 [==============================] - 232s 211ms/step - loss: 0.0791 - accuracy: 0.9874 - sparse_categorical_crossentropy: 0.0395 - val_loss: 0.1858 - val_accuracy: 0.9631 - val_sparse_categorical_crossentropy: 0.1468\n",
      "Epoch 58/80\n",
      "1099/1099 [==============================] - 228s 207ms/step - loss: 0.0789 - accuracy: 0.9870 - sparse_categorical_crossentropy: 0.0399 - val_loss: 0.2460 - val_accuracy: 0.9473 - val_sparse_categorical_crossentropy: 0.2067\n",
      "Epoch 59/80\n",
      "1099/1099 [==============================] - 216s 196ms/step - loss: 0.0766 - accuracy: 0.9874 - sparse_categorical_crossentropy: 0.0384 - val_loss: 0.2247 - val_accuracy: 0.9558 - val_sparse_categorical_crossentropy: 0.1856\n",
      "Epoch 60/80\n",
      "1099/1099 [==============================] - 216s 197ms/step - loss: 0.0756 - accuracy: 0.9880 - sparse_categorical_crossentropy: 0.0370 - val_loss: 0.2252 - val_accuracy: 0.9545 - val_sparse_categorical_crossentropy: 0.1857\n",
      "Epoch 61/80\n",
      "1099/1099 [==============================] - 217s 197ms/step - loss: 0.0781 - accuracy: 0.9871 - sparse_categorical_crossentropy: 0.0388 - val_loss: 0.2489 - val_accuracy: 0.9527 - val_sparse_categorical_crossentropy: 0.2093\n",
      "Epoch 62/80\n",
      "1099/1099 [==============================] - 215s 196ms/step - loss: 0.0717 - accuracy: 0.9890 - sparse_categorical_crossentropy: 0.0333 - val_loss: 0.2482 - val_accuracy: 0.9495 - val_sparse_categorical_crossentropy: 0.2116\n",
      "Epoch 63/80\n",
      "1099/1099 [==============================] - 214s 195ms/step - loss: 0.0780 - accuracy: 0.9876 - sparse_categorical_crossentropy: 0.0395 - val_loss: 0.9863 - val_accuracy: 0.8262 - val_sparse_categorical_crossentropy: 0.9470\n",
      "Epoch 64/80\n",
      "1099/1099 [==============================] - 222s 202ms/step - loss: 0.0755 - accuracy: 0.9878 - sparse_categorical_crossentropy: 0.0370 - val_loss: 0.4337 - val_accuracy: 0.9141 - val_sparse_categorical_crossentropy: 0.3945\n",
      "Epoch 65/80\n",
      "1099/1099 [==============================] - 223s 203ms/step - loss: 0.0783 - accuracy: 0.9872 - sparse_categorical_crossentropy: 0.0388 - val_loss: 0.5162 - val_accuracy: 0.9042 - val_sparse_categorical_crossentropy: 0.4784\n",
      "Epoch 66/80\n",
      "1099/1099 [==============================] - 226s 206ms/step - loss: 0.0753 - accuracy: 0.9883 - sparse_categorical_crossentropy: 0.0364 - val_loss: 0.3291 - val_accuracy: 0.9361 - val_sparse_categorical_crossentropy: 0.2903\n",
      "Epoch 67/80\n",
      "1099/1099 [==============================] - 226s 205ms/step - loss: 0.0777 - accuracy: 0.9872 - sparse_categorical_crossentropy: 0.0387 - val_loss: 0.3728 - val_accuracy: 0.9278 - val_sparse_categorical_crossentropy: 0.3340\n",
      "Epoch 68/80\n",
      "1099/1099 [==============================] - 218s 199ms/step - loss: 0.0755 - accuracy: 0.9877 - sparse_categorical_crossentropy: 0.0368 - val_loss: 0.3080 - val_accuracy: 0.9352 - val_sparse_categorical_crossentropy: 0.2691\n",
      "Epoch 69/80\n",
      "1099/1099 [==============================] - 227s 207ms/step - loss: 0.0744 - accuracy: 0.9885 - sparse_categorical_crossentropy: 0.0358 - val_loss: 0.5940 - val_accuracy: 0.8947 - val_sparse_categorical_crossentropy: 0.5552\n",
      "Epoch 70/80\n",
      "1099/1099 [==============================] - 214s 195ms/step - loss: 0.0777 - accuracy: 0.9877 - sparse_categorical_crossentropy: 0.0386 - val_loss: 0.2863 - val_accuracy: 0.9380 - val_sparse_categorical_crossentropy: 0.2479\n",
      "Epoch 71/80\n",
      "1099/1099 [==============================] - 216s 196ms/step - loss: 0.0753 - accuracy: 0.9881 - sparse_categorical_crossentropy: 0.0365 - val_loss: 0.8380 - val_accuracy: 0.8660 - val_sparse_categorical_crossentropy: 0.7994\n",
      "Epoch 72/80\n",
      "1099/1099 [==============================] - 223s 203ms/step - loss: 0.0748 - accuracy: 0.9883 - sparse_categorical_crossentropy: 0.0366 - val_loss: 1.0247 - val_accuracy: 0.8394 - val_sparse_categorical_crossentropy: 0.9839\n",
      "Epoch 73/80\n",
      "1099/1099 [==============================] - 220s 200ms/step - loss: 0.0722 - accuracy: 0.9889 - sparse_categorical_crossentropy: 0.0340 - val_loss: 0.3283 - val_accuracy: 0.9339 - val_sparse_categorical_crossentropy: 0.2911\n",
      "Epoch 74/80\n",
      "1099/1099 [==============================] - 227s 207ms/step - loss: 0.0756 - accuracy: 0.9888 - sparse_categorical_crossentropy: 0.0373 - val_loss: 0.3117 - val_accuracy: 0.9387 - val_sparse_categorical_crossentropy: 0.2734\n",
      "Epoch 75/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.0746 - accuracy: 0.9882 - sparse_categorical_crossentropy: 0.0363 - val_loss: 0.2822 - val_accuracy: 0.9439 - val_sparse_categorical_crossentropy: 0.2428\n",
      "Epoch 76/80\n",
      "1099/1099 [==============================] - 219s 199ms/step - loss: 0.0711 - accuracy: 0.9893 - sparse_categorical_crossentropy: 0.0328 - val_loss: 0.1750 - val_accuracy: 0.9652 - val_sparse_categorical_crossentropy: 0.1373\n",
      "Epoch 77/80\n",
      "1099/1099 [==============================] - 221s 201ms/step - loss: 0.0763 - accuracy: 0.9879 - sparse_categorical_crossentropy: 0.0383 - val_loss: 0.3355 - val_accuracy: 0.9359 - val_sparse_categorical_crossentropy: 0.2972\n",
      "Epoch 78/80\n",
      "1099/1099 [==============================] - 221s 201ms/step - loss: 0.0731 - accuracy: 0.9885 - sparse_categorical_crossentropy: 0.0344 - val_loss: 0.2235 - val_accuracy: 0.9595 - val_sparse_categorical_crossentropy: 0.1848\n",
      "Epoch 79/80\n",
      "1099/1099 [==============================] - 221s 201ms/step - loss: 0.0757 - accuracy: 0.9880 - sparse_categorical_crossentropy: 0.0370 - val_loss: 0.3921 - val_accuracy: 0.9257 - val_sparse_categorical_crossentropy: 0.3536\n",
      "Epoch 80/80\n",
      "1099/1099 [==============================] - 220s 200ms/step - loss: 0.0751 - accuracy: 0.9885 - sparse_categorical_crossentropy: 0.0364 - val_loss: 0.3381 - val_accuracy: 0.9332 - val_sparse_categorical_crossentropy: 0.2996\n"
     ]
    }
   ],
   "source": [
    "# Training the model\n",
    "# Took approximately 5 human hours to train the model\n",
    "history= model.fit(\n",
    "    train_ds,                 # training dataset\n",
    "    epochs=EPOCH,             # number of epochs\n",
    "    batch_size=BATCH,         # size of each batch\n",
    "    validation_data=valid_ds  # validation dataset\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "h6j4QtvEIG0z"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "138/138 [==============================] - 7s 52ms/step - loss: 0.3003 - accuracy: 0.9361 - sparse_categorical_crossentropy: 0.2618\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.3002994954586029, 0.9361484050750732, 0.2618468403816223]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Evaluating the performance on testing dataset\n",
    "model.evaluate(test_ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "id": "lve835_dO62L"
   },
   "outputs": [],
   "source": [
    "# saving the trained CNN model\n",
    "model.save('model_final.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "id": "bZz089Up74W7"
   },
   "outputs": [],
   "source": [
    "# Storing performance values\n",
    "loss=history.history['loss']\n",
    "val_loss=history.history['val_loss']\n",
    "accuracy=history.history['accuracy']\n",
    "val_accuracy=history.history['val_accuracy']\n",
    "entropy=history.history['sparse_categorical_crossentropy']\n",
    "val_entropy=history.history['val_sparse_categorical_crossentropy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "DB3rnkeJ77lO"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1c783e99840>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot showing training and validation losses\n",
    "plt.figure(figsize=(12,5))\n",
    "plt.subplot(121)\n",
    "plt.plot(range(len(loss)), loss, label='Training loss', color=\"red\")\n",
    "plt.plot(range(len(val_loss)), val_loss, label=\"Validation loss\", color=\"blue\")\n",
    "\n",
    "plt.title(\"Training loss vs. Validation loss\")\n",
    "plt.xlabel(\"Number of epochs\")\n",
    "plt.ylabel(\"Loss\")\n",
    "plt.legend()\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.plot(range(len(accuracy)), accuracy, label='Training accuracy', color=\"red\")\n",
    "plt.plot(range(len(val_accuracy)), val_accuracy, label=\"Validation accuracy\", color=\"blue\")\n",
    "plt.title(\"Training accuracy vs. Validation accuracy\")\n",
    "plt.xlabel(\"Number of epochs\")\n",
    "plt.ylabel(\"Accuracy\")\n",
    "plt.legend(loc='lower right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1c784863100>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "plt.plot(range(len(loss)), loss, label='Training loss', color=\"red\")\n",
    "plt.plot(range(len(val_loss)), val_loss, label=\"Validation loss\", color=\"blue\")\n",
    "plt.title(\"Training loss vs. Validation loss\")\n",
    "plt.xlabel(\"Number of epochs\")\n",
    "plt.ylabel(\"Loss\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1c7848618a0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "plt.plot(range(len(accuracy)), accuracy, label='Training accuracy', color=\"red\")\n",
    "plt.plot(range(len(val_accuracy)), val_accuracy, label=\"Validation accuracy\", color=\"blue\")\n",
    "plt.title(\"Training accuracy vs. Validation accuracy\")\n",
    "plt.xlabel(\"Number of epochs\")\n",
    "plt.ylabel(\"Accuracy\")\n",
    "plt.legend(loc='lower right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1c784389cc0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "plt.plot(range(len(entropy)), entropy, label='Training SCC', color=\"red\")\n",
    "plt.plot(range(len(val_entropy)), val_entropy, label=\"Validation SCC\", color=\"blue\")\n",
    "plt.title(\"Sparse Categorical Crossentropy (SCC): Training vs. Validation\")\n",
    "plt.xlabel(\"Number of epochs\")\n",
    "plt.ylabel(\"Sparse Categorical Crossentropy (SCC)\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "138/138 [==============================] - 7s 52ms/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[7.2540070e-06, 8.5825785e-10, 1.0941025e-19, ..., 3.2798022e-23,\n",
       "        1.7037422e-14, 1.9841713e-14],\n",
       "       [1.1344582e-12, 1.6140827e-12, 5.2083697e-14, ..., 3.3364672e-10,\n",
       "        1.4499585e-04, 1.4907747e-18],\n",
       "       [4.4682636e-08, 1.0161459e-14, 9.8490091e-08, ..., 9.4348480e-11,\n",
       "        7.5965314e-18, 3.2589907e-12],\n",
       "       ...,\n",
       "       [2.0992201e-12, 7.4031203e-09, 2.1355707e-16, ..., 1.2833331e-23,\n",
       "        1.3603218e-18, 1.2047824e-19],\n",
       "       [3.4588561e-04, 9.0337784e-07, 1.1335908e-16, ..., 2.7843132e-20,\n",
       "        9.5189515e-14, 6.7962346e-14],\n",
       "       [2.0814305e-22, 4.7663369e-35, 4.7143219e-24, ..., 1.9148082e-20,\n",
       "        0.0000000e+00, 1.2451824e-19]], dtype=float32)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# predicting test data\n",
    "y_pred=model.predict(test_ds)\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Convert prediction probabilities into integers\n",
    "y_preds = y_pred.argmax(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([27, 32, 15, ..., 12, 27, 10], dtype=int64)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2/2 [==============================] - 0s 22ms/step\n",
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      "2/2 [==============================] - 0s 23ms/step\n",
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      "2/2 [==============================] - 0s 23ms/step\n",
      "2/2 [==============================] - 0s 22ms/step\n",
      "2/2 [==============================] - 0s 23ms/step\n",
      "2/2 [==============================] - 0s 23ms/step\n",
      "2/2 [==============================] - 0s 23ms/step\n",
      "2/2 [==============================] - 0s 26ms/step\n",
      "2/2 [==============================] - 0s 24ms/step\n",
      "2/2 [==============================] - 0s 23ms/step\n",
      "2/2 [==============================] - 0s 22ms/step\n",
      "2/2 [==============================] - 0s 23ms/step\n",
      "1/1 [==============================] - 0s 127ms/step\n"
     ]
    }
   ],
   "source": [
    "# calculating true_labels and predicted_labels\n",
    "y_true=[]\n",
    "y_pred=[]\n",
    "\n",
    "for batch,label in test_ds:\n",
    "    for i in range(BATCH):\n",
    "        try:\n",
    "            y_true.append(tf.get_static_value(label[i]))\n",
    "        except:\n",
    "            pass\n",
    "    proba=model.predict(batch)\n",
    "    y_pred.extend(proba.argmax(axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculating confusion matrix\n",
    "conf_matrix= confusion_matrix(y_true, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 4100x4100 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# displaying heatmap for correlation matrix\n",
    "plt.figure(figsize=(41,41))\n",
    "sns.heatmap(conf_matrix, annot=True, cmap=\"Reds\")\n",
    "plt.savefig(\"confusion_10.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "# class names\n",
    "class_names= ['Apple__scab', 'Apple_black_rot','Apple_cedar_rust','Apple_healthy','Blueberry_healthy', 'Cherry_powdery_mildew','Cherry__healthy',\n",
    " 'Corn__cercospora_leaf_spot','Corn_common_rust','Corn_northern_leaf_blight','Corn_healthy', 'Grape_black_rot','Grape__black_measles',\n",
    " 'Grape__leaf_blight','Grape_healthy','Orange_haunglongbing','Peach_bacterial_spot','Peach_healthy','Pepper__bacterial_spot',\n",
    " 'Pepper__healthy','Potato_early_blight','Potato_late_blight','Potato_healthy','Raspberry_healthy','Soybean__healthy',\n",
    " 'Squash__Powdery_mildew','Strawberry_leaf_scorch','Strawberry_healthy','Tomato_bacterial_spot','Tomato__early_blight',\n",
    " 'Tomato__late_blight','Tomato_leaf_mold','Tomato_septoria_leaf_spot','Tomato_spider_mites','Tomato__target_spot',\n",
    " 'Tomato__YLC_Virus','Tomato_TMV','Tomato__healthy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading the saved model\n",
    "model= tf.keras.models.load_model(\"model_final.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s 48ms/step\n",
      "\n",
      "Prediction:  Apple__scab \n",
      "\n",
      "\n",
      "\n",
      "1/1 [==============================] - 0s 78ms/step\n",
      "\n",
      "Prediction:  Tomato_leaf_mold \n",
      "\n",
      "\n",
      "\n",
      "1/1 [==============================] - 0s 77ms/step\n",
      "\n",
      "Prediction:  Grape_black_rot \n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# testing on sample images\n",
    "for i in ['test1.jpg', 'test2.jpg', 'test3.jpg']:\n",
    "    test_image= plt.imread(i)    # reading image to test\n",
    "    resized_test_image= cv2.resize(test_image,(100,100))    # resizing the image\n",
    "    img= np.expand_dims(resized_test_image,axis=0)    # adjusting shape of the image for model's input\n",
    "    predicted= model.predict(img)    # generating predictions\n",
    "    print(\"\\nPrediction: \",class_names[np.argmax(predicted[0])],\"\\n\\n\\n\") # mapping predicted value to it's name"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All predictions generated are accurate and correct."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "CgAVl0EqYJRG"
   },
   "source": [
    "## END\n",
    "# ________________________________________________________________"
   ]
  }
 ],
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