{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:11:14.378449Z",
     "iopub.status.busy": "2024-07-03T15:11:14.377832Z",
     "iopub.status.idle": "2024-07-03T15:11:14.390064Z",
     "shell.execute_reply": "2024-07-03T15:11:14.389405Z",
     "shell.execute_reply.started": "2024-07-03T15:11:14.378415Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import cv2\n",
    "import time\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "import random\n",
    "\n",
    "from tqdm.notebook import tqdm as pbar\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
    "from tensorflow.keras.applications.vgg16 import VGG16\n",
    "from tensorflow.keras.applications import VGG19\n",
    "from tensorflow.keras.layers import Dense, Dropout, Flatten, GlobalAveragePooling2D, BatchNormalization\n",
    "from tensorflow.keras.models import Sequential, Model\n",
    "from tensorflow.keras.optimizers import Adam, schedules\n",
    "from sklearn.metrics import confusion_matrix, classification_report, roc_auc_score\n",
    "from keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:16.194902Z",
     "iopub.status.busy": "2024-07-03T14:27:16.194362Z",
     "iopub.status.idle": "2024-07-03T14:27:16.199495Z",
     "shell.execute_reply": "2024-07-03T14:27:16.198504Z",
     "shell.execute_reply.started": "2024-07-03T14:27:16.194874Z"
    }
   },
   "outputs": [],
   "source": [
    "dataset_dir = '/kaggle/input/faceexpression-dp'\n",
    "image_dir = '/kaggle/input/faceexpression-dp/dataset'\n",
    "csv_dir = os.path.join(dataset_dir,'data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:16.201274Z",
     "iopub.status.busy": "2024-07-03T14:27:16.200895Z",
     "iopub.status.idle": "2024-07-03T14:27:16.228373Z",
     "shell.execute_reply": "2024-07-03T14:27:16.227507Z",
     "shell.execute_reply.started": "2024-07-03T14:27:16.201238Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/faceexpression-dp\n",
      "/kaggle/input/faceexpression-dp/dataset\n",
      "/kaggle/input/faceexpression-dp/data.csv\n"
     ]
    }
   ],
   "source": [
    "print(dataset_dir)\n",
    "print(image_dir)\n",
    "print(csv_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:16.231711Z",
     "iopub.status.busy": "2024-07-03T14:27:16.231056Z",
     "iopub.status.idle": "2024-07-03T14:27:16.293864Z",
     "shell.execute_reply": "2024-07-03T14:27:16.293049Z",
     "shell.execute_reply.started": "2024-07-03T14:27:16.231684Z"
    }
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(csv_dir,index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:16.295382Z",
     "iopub.status.busy": "2024-07-03T14:27:16.295017Z",
     "iopub.status.idle": "2024-07-03T14:27:16.302507Z",
     "shell.execute_reply": "2024-07-03T14:27:16.301362Z",
     "shell.execute_reply.started": "2024-07-03T14:27:16.295349Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15453, 2)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:16.304634Z",
     "iopub.status.busy": "2024-07-03T14:27:16.303813Z",
     "iopub.status.idle": "2024-07-03T14:27:16.345678Z",
     "shell.execute_reply": "2024-07-03T14:27:16.344850Z",
     "shell.execute_reply.started": "2024-07-03T14:27:16.304605Z"
    }
   },
   "outputs": [],
   "source": [
    "data['path'] = data['path'].apply(lambda x: os.path.join('/kaggle/input/faceexpression-dp/dataset', x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:16.347048Z",
     "iopub.status.busy": "2024-07-03T14:27:16.346748Z",
     "iopub.status.idle": "2024-07-03T14:27:16.360262Z",
     "shell.execute_reply": "2024-07-03T14:27:16.359205Z",
     "shell.execute_reply.started": "2024-07-03T14:27:16.347015Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>path</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/kaggle/input/faceexpression-dp/dataset/Surpri...</td>\n",
       "      <td>Surprise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/kaggle/input/faceexpression-dp/dataset/Surpri...</td>\n",
       "      <td>Surprise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>/kaggle/input/faceexpression-dp/dataset/Surpri...</td>\n",
       "      <td>Surprise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>/kaggle/input/faceexpression-dp/dataset/Surpri...</td>\n",
       "      <td>Surprise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>/kaggle/input/faceexpression-dp/dataset/Surpri...</td>\n",
       "      <td>Surprise</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                path     label\n",
       "0  /kaggle/input/faceexpression-dp/dataset/Surpri...  Surprise\n",
       "1  /kaggle/input/faceexpression-dp/dataset/Surpri...  Surprise\n",
       "2  /kaggle/input/faceexpression-dp/dataset/Surpri...  Surprise\n",
       "3  /kaggle/input/faceexpression-dp/dataset/Surpri...  Surprise\n",
       "4  /kaggle/input/faceexpression-dp/dataset/Surpri...  Surprise"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "sample the dataset number of images per expression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:16.361646Z",
     "iopub.status.busy": "2024-07-03T14:27:16.361388Z",
     "iopub.status.idle": "2024-07-03T14:27:16.365569Z",
     "shell.execute_reply": "2024-07-03T14:27:16.364591Z",
     "shell.execute_reply.started": "2024-07-03T14:27:16.361624Z"
    }
   },
   "outputs": [],
   "source": [
    "## Balance the dataset to have 1000 samples per class\n",
    "#data = data.groupby('label').apply(lambda x: x.sample(n=700, replace=True)).reset_index(drop=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:16.366963Z",
     "iopub.status.busy": "2024-07-03T14:27:16.366697Z",
     "iopub.status.idle": "2024-07-03T14:27:16.387024Z",
     "shell.execute_reply": "2024-07-03T14:27:16.386118Z",
     "shell.execute_reply.started": "2024-07-03T14:27:16.366939Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "label\n",
       "Neutral     4027\n",
       "Sad         3934\n",
       "Happy       3740\n",
       "Angry       1313\n",
       "Surprise    1234\n",
       "Ahegao      1205\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:16.390707Z",
     "iopub.status.busy": "2024-07-03T14:27:16.390314Z",
     "iopub.status.idle": "2024-07-03T14:27:18.246206Z",
     "shell.execute_reply": "2024-07-03T14:27:18.245048Z",
     "shell.execute_reply.started": "2024-07-03T14:27:16.390675Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Ahegao images in folder: 1205\n",
      "Total Angry images in folder: 1313\n",
      "Total Happy images in folder: 3740\n",
      "Total Neutral images in folder: 4027\n",
      "Total Sad images in folder: 3934\n",
      "Total Surprise images in folder: 1234\n",
      "Total images in dataset folder 15453\n"
     ]
    }
   ],
   "source": [
    "ahegao_img_dir = os.path.join(image_dir,'Ahegao')\n",
    "angry_img_dir = os.path.join(image_dir,'Angry')\n",
    "happy_img_dir = os.path.join(image_dir,'Happy')\n",
    "neutral_img_dir = os.path.join(image_dir,'Neutral')\n",
    "sad_img_dir = os.path.join(image_dir,'Sad')\n",
    "surprise_img_dir = os.path.join(image_dir,'Surprise')\n",
    "\n",
    "#ahegao in image folder\n",
    "ahegao_images = set(os.listdir(ahegao_img_dir))\n",
    "print(\"Total Ahegao images in folder:\",len(ahegao_images))\n",
    "\n",
    "#angry in image folder\n",
    "angry_images = set(os.listdir(angry_img_dir))\n",
    "print(\"Total Angry images in folder:\",len(angry_images))\n",
    "#happy in image folder\n",
    "happy_images = set(os.listdir(happy_img_dir))\n",
    "print(\"Total Happy images in folder:\",len(happy_images))\n",
    "#neutral in image folder\n",
    "neutral_images = set(os.listdir(neutral_img_dir))\n",
    "print(\"Total Neutral images in folder:\",len(neutral_images))\n",
    "#sad in image folder\n",
    "sad_images = set(os.listdir(sad_img_dir))\n",
    "print(\"Total Sad images in folder:\",len(sad_images))\n",
    "#surprise in image folder\n",
    "surprise_images = set(os.listdir(surprise_img_dir))\n",
    "print(\"Total Surprise images in folder:\",len(surprise_images))\n",
    "\n",
    "#Total images in dataset folder\n",
    "total_images = len(ahegao_images)+len(angry_images)+len(happy_images)+len(neutral_images)+len(sad_images)+len(surprise_images)\n",
    "print(\"Total images in dataset folder\",total_images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:18.248697Z",
     "iopub.status.busy": "2024-07-03T14:27:18.248089Z",
     "iopub.status.idle": "2024-07-03T14:27:18.282432Z",
     "shell.execute_reply": "2024-07-03T14:27:18.281568Z",
     "shell.execute_reply.started": "2024-07-03T14:27:18.248661Z"
    }
   },
   "outputs": [],
   "source": [
    "img = cv2.imread('/kaggle/input/faceexpression-dp/dataset/Angry/00a7cb9cf18d3a015a9e932952f942fd4bcad8044bcef5e0c05de51d~angry.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:18.286254Z",
     "iopub.status.busy": "2024-07-03T14:27:18.284262Z",
     "iopub.status.idle": "2024-07-03T14:27:18.291486Z",
     "shell.execute_reply": "2024-07-03T14:27:18.290661Z",
     "shell.execute_reply.started": "2024-07-03T14:27:18.286224Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(364, 364, 3)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T01:38:16.156961Z",
     "iopub.status.busy": "2024-07-03T01:38:16.156159Z",
     "iopub.status.idle": "2024-07-03T01:38:16.163827Z",
     "shell.execute_reply": "2024-07-03T01:38:16.162300Z",
     "shell.execute_reply.started": "2024-07-03T01:38:16.156923Z"
    }
   },
   "source": [
    "plot image of each respectful classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:19.273545Z",
     "iopub.status.busy": "2024-07-03T14:27:19.272671Z",
     "iopub.status.idle": "2024-07-03T14:27:19.277910Z",
     "shell.execute_reply": "2024-07-03T14:27:19.277046Z",
     "shell.execute_reply.started": "2024-07-03T14:27:19.273513Z"
    }
   },
   "outputs": [],
   "source": [
    "#define image size and parameters\n",
    "IMG_SIZE = (224,224)\n",
    "BATCH_SIZE = 32\n",
    "NUM_CLASSES = 6\n",
    "EPOCHS = 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:20.642235Z",
     "iopub.status.busy": "2024-07-03T14:27:20.641685Z",
     "iopub.status.idle": "2024-07-03T14:27:21.453787Z",
     "shell.execute_reply": "2024-07-03T14:27:21.452771Z",
     "shell.execute_reply.started": "2024-07-03T14:27:20.642202Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Function to plot one random image per expression\n",
    "def plot_random_images_per_expression(data, img_size):\n",
    "    expressions = data['label'].unique()\n",
    "    fig, axes = plt.subplots(1, len(expressions), figsize=(20, 5))\n",
    "\n",
    "    for ax, expression in zip(axes, expressions):\n",
    "        random_img_path = random.choice(data[data['label'] == expression]['path'].values)\n",
    "        image = cv2.imread(random_img_path)\n",
    "        image = cv2.resize(image, img_size)  # Resize to the same size used for the model\n",
    "        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)  # Convert to RGB for display\n",
    "        \n",
    "        ax.imshow(image)\n",
    "        ax.set_title(expression)\n",
    "        ax.axis('off')\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "# Call the function with your DataFrame and image size\n",
    "plot_random_images_per_expression(data, IMG_SIZE)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:24.477847Z",
     "iopub.status.busy": "2024-07-03T14:27:24.477479Z",
     "iopub.status.idle": "2024-07-03T14:27:24.486977Z",
     "shell.execute_reply": "2024-07-03T14:27:24.485874Z",
     "shell.execute_reply.started": "2024-07-03T14:27:24.477819Z"
    }
   },
   "outputs": [],
   "source": [
    "#data preprocessing function\n",
    "def preprocessing_image(img_path):\n",
    "    image = cv2.imread(img_path)\n",
    "    image = cv2.resize(image,IMG_SIZE) #Resize image to (224,224)\n",
    "    image = cv2.GaussianBlur(image, (5,5), 0) #apply gaussian blur\n",
    "    image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # convert to grayscale\n",
    "    image = cv2.equalizeHist(image) # histogram equalization\n",
    "    _, image = cv2.threshold(image,128,255,cv2.THRESH_BINARY) # thresholding\n",
    "    image = np.stack((image,)*3,axis=-1) #convert grayscale to 3 channels (RGB)\n",
    "    return image.astype(np.float32) /255.0 #normalize to [0,1]\n",
    "\n",
    "from tensorflow.keras.applications.vgg16 import preprocess_input\n",
    "\n",
    "def preprocessing_image_vgg(image):\n",
    "    #print(img_path)\n",
    "    #image = cv2.imread(img_path)  # Read the image\n",
    "    image = cv2.resize(image, (224, 224))  # Resize image to (224, 224)\n",
    "    # Gaussian blur and other augmentations (if needed)\n",
    "    image = cv2.GaussianBlur(image, (5, 5), 0)  # Apply Gaussian blur\n",
    "    # Normalize using VGG preprocessing (subtract mean, divide by std)\n",
    "    image = preprocess_input(image)\n",
    "    return image\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:26.068873Z",
     "iopub.status.busy": "2024-07-03T14:27:26.068508Z",
     "iopub.status.idle": "2024-07-03T14:27:26.101619Z",
     "shell.execute_reply": "2024-07-03T14:27:26.100421Z",
     "shell.execute_reply.started": "2024-07-03T14:27:26.068844Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                    path    label\n",
      "11468  /kaggle/input/faceexpression-dp/dataset/Neutra...  Neutral\n",
      "3813   /kaggle/input/faceexpression-dp/dataset/Sad/5b...      Sad\n",
      "8535   /kaggle/input/faceexpression-dp/dataset/Happy/...    Happy\n",
      "13205  /kaggle/input/faceexpression-dp/dataset/Neutra...  Neutral\n",
      "8061   /kaggle/input/faceexpression-dp/dataset/Happy/...    Happy\n",
      "                                                    path    label\n",
      "2573   /kaggle/input/faceexpression-dp/dataset/Sad/6a...      Sad\n",
      "12156  /kaggle/input/faceexpression-dp/dataset/Neutra...  Neutral\n",
      "3100   /kaggle/input/faceexpression-dp/dataset/Sad/cr...      Sad\n",
      "5045   /kaggle/input/faceexpression-dp/dataset/Sad/3f...      Sad\n",
      "3457   /kaggle/input/faceexpression-dp/dataset/Sad/5e...      Sad\n"
     ]
    }
   ],
   "source": [
    "# Split data into training and validation sets\n",
    "train_data, test_data = train_test_split(data, test_size=0.2, stratify=data['label'], random_state=42)\n",
    "print(train_data.head())\n",
    "print(test_data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:28.400555Z",
     "iopub.status.busy": "2024-07-03T14:27:28.400187Z",
     "iopub.status.idle": "2024-07-03T14:27:28.405891Z",
     "shell.execute_reply": "2024-07-03T14:27:28.404748Z",
     "shell.execute_reply.started": "2024-07-03T14:27:28.400525Z"
    }
   },
   "outputs": [],
   "source": [
    "#Image Augmentation\n",
    "train_datagen = ImageDataGenerator(\n",
    "    preprocessing_function=preprocessing_image_vgg,\n",
    "    rotation_range = 20,\n",
    "    width_shift_range = 0.2,\n",
    "    height_shift_range = 0.2,\n",
    "    horizontal_flip = True,\n",
    "    fill_mode = 'nearest',\n",
    "    rescale = 1./255\n",
    ")\n",
    "\n",
    "test_datagen = ImageDataGenerator(rescale = 1./255)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:27:29.997701Z",
     "iopub.status.busy": "2024-07-03T14:27:29.997370Z",
     "iopub.status.idle": "2024-07-03T14:28:07.708597Z",
     "shell.execute_reply": "2024-07-03T14:28:07.707702Z",
     "shell.execute_reply.started": "2024-07-03T14:27:29.997676Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 12362 validated image filenames belonging to 6 classes.\n",
      "Found 3091 validated image filenames belonging to 6 classes.\n"
     ]
    }
   ],
   "source": [
    "train_generator = train_datagen.flow_from_dataframe(\n",
    "    train_data,\n",
    "    x_col = 'path',\n",
    "    y_col = 'label',\n",
    "    target_size = IMG_SIZE,\n",
    "    batch_size = BATCH_SIZE,\n",
    "    class_mode = 'categorical'\n",
    ")\n",
    "\n",
    "test_generator = test_datagen.flow_from_dataframe(\n",
    "    test_data,\n",
    "    x_col = 'path',\n",
    "    y_col = 'label',\n",
    "    target_size =  IMG_SIZE,\n",
    "    batch_size = BATCH_SIZE,\n",
    "    class_mode = 'categorical',\n",
    "    shuffle = False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T14:28:09.376948Z",
     "iopub.status.busy": "2024-07-03T14:28:09.376154Z",
     "iopub.status.idle": "2024-07-03T15:05:09.806035Z",
     "shell.execute_reply": "2024-07-03T15:05:09.805044Z",
     "shell.execute_reply.started": "2024-07-03T14:28:09.376918Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
      "\u001b[1m58889256/58889256\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 0us/step\n",
      "Epoch 1/20\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n",
      "  self._warn_if_super_not_called()\n",
      "2024-07-03 14:28:21.506125: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 4.63498, expected 3.85968\n",
      "2024-07-03 14:28:21.506187: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 6.55784, expected 5.78254\n",
      "2024-07-03 14:28:21.506197: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 6.61282, expected 5.83752\n",
      "2024-07-03 14:28:21.506205: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 6.34499, expected 5.56968\n",
      "2024-07-03 14:28:21.506212: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 6.25159, expected 5.47629\n",
      "2024-07-03 14:28:21.506220: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 5.43964, expected 4.66434\n",
      "2024-07-03 14:28:21.506227: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 6.54333, expected 5.76803\n",
      "2024-07-03 14:28:21.506237: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 10: 5.76049, expected 4.98519\n",
      "2024-07-03 14:28:21.506248: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 11: 5.33632, expected 4.56101\n",
      "2024-07-03 14:28:21.506260: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 12: 4.04081, expected 3.2655\n",
      "2024-07-03 14:28:21.550684: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n",
      "(f32[32,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[32,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=1,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n",
      "2024-07-03 14:28:21.550745: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n",
      "2024-07-03 14:28:21.550755: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n",
      "2024-07-03 14:28:21.550762: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n",
      "2024-07-03 14:28:21.550769: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: <undefined>\n",
      "2024-07-03 14:28:21.550786: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n",
      "2024-07-03 14:28:22.749456: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 4.63498, expected 3.85968\n",
      "2024-07-03 14:28:22.749515: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 6.55784, expected 5.78254\n",
      "2024-07-03 14:28:22.749529: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 6.61282, expected 5.83752\n",
      "2024-07-03 14:28:22.749546: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 6.34499, expected 5.56968\n",
      "2024-07-03 14:28:22.749557: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 6.25159, expected 5.47629\n",
      "2024-07-03 14:28:22.749568: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 5.43964, expected 4.66434\n",
      "2024-07-03 14:28:22.749579: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 6.54333, expected 5.76803\n",
      "2024-07-03 14:28:22.749590: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 10: 5.76049, expected 4.98519\n",
      "2024-07-03 14:28:22.749600: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 11: 5.33632, expected 4.56101\n",
      "2024-07-03 14:28:22.749611: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 12: 4.04081, expected 3.2655\n",
      "2024-07-03 14:28:22.794262: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n",
      "(f32[32,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[32,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=1,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n",
      "2024-07-03 14:28:22.794324: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n",
      "2024-07-03 14:28:22.794343: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n",
      "2024-07-03 14:28:22.794354: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n",
      "2024-07-03 14:28:22.794369: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: <undefined>\n",
      "2024-07-03 14:28:22.794391: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m  2/386\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m26s\u001b[0m 69ms/step - accuracy: 0.1328 - loss: 1.8970   "
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "I0000 00:00:1720016917.679611     151 device_compiler.h:186] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m191/386\u001b[0m \u001b[32m━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━\u001b[0m \u001b[1m2:16\u001b[0m 700ms/step - accuracy: 0.2542 - loss: 1.7013"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-07-03 14:30:51.909960: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 4.17844, expected 3.56217\n",
      "2024-07-03 14:30:51.910048: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 12: 3.52289, expected 2.90662\n",
      "2024-07-03 14:30:51.910063: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 13: 4.66917, expected 4.05289\n",
      "2024-07-03 14:30:51.910074: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 29: 4.67338, expected 4.0571\n",
      "2024-07-03 14:30:51.910085: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 31: 4.6813, expected 4.06503\n",
      "2024-07-03 14:30:51.910095: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 62: 4.79963, expected 4.18336\n",
      "2024-07-03 14:30:51.910105: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 63: 4.73133, expected 4.11506\n",
      "2024-07-03 14:30:51.910116: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 64: 4.74234, expected 4.12606\n",
      "2024-07-03 14:30:51.910126: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 67: 4.78199, expected 4.16571\n",
      "2024-07-03 14:30:51.910137: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 68: 5.06444, expected 4.44816\n",
      "2024-07-03 14:30:51.924861: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n",
      "(f32[10,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[10,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=1,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n",
      "2024-07-03 14:30:51.924906: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n",
      "2024-07-03 14:30:51.924922: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n",
      "2024-07-03 14:30:51.924931: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n",
      "2024-07-03 14:30:51.924941: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: <undefined>\n",
      "2024-07-03 14:30:51.924961: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n",
      "2024-07-03 14:30:52.309043: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 4.17844, expected 3.56217\n",
      "2024-07-03 14:30:52.309100: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 12: 3.52289, expected 2.90662\n",
      "2024-07-03 14:30:52.309110: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 13: 4.66917, expected 4.05289\n",
      "2024-07-03 14:30:52.309119: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 29: 4.67338, expected 4.0571\n",
      "2024-07-03 14:30:52.309127: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 31: 4.6813, expected 4.06503\n",
      "2024-07-03 14:30:52.309136: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 62: 4.79963, expected 4.18336\n",
      "2024-07-03 14:30:52.309144: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 63: 4.73133, expected 4.11506\n",
      "2024-07-03 14:30:52.309152: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 64: 4.74234, expected 4.12606\n",
      "2024-07-03 14:30:52.309161: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 67: 4.78199, expected 4.16571\n",
      "2024-07-03 14:30:52.309169: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 68: 5.06444, expected 4.44816\n",
      "2024-07-03 14:30:52.323557: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n",
      "(f32[10,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[10,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=1,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n",
      "2024-07-03 14:30:52.323602: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n",
      "2024-07-03 14:30:52.323611: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n",
      "2024-07-03 14:30:52.323618: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n",
      "2024-07-03 14:30:52.323624: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: <undefined>\n",
      "2024-07-03 14:30:52.323640: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m331s\u001b[0m 795ms/step - accuracy: 0.2773 - loss: 2.1275 - val_accuracy: 0.4049 - val_loss: 1.4581\n",
      "Epoch 2/20\n",
      "\u001b[1m  1/386\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m24s\u001b[0m 63ms/step - accuracy: 0.2812 - loss: 1.5536"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/contextlib.py:153: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n",
      "  self.gen.throw(typ, value, traceback)\n",
      "2024-07-03 14:33:44.551512: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 3.83445, expected 3.08393\n",
      "2024-07-03 14:33:44.551605: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1: 5.81387, expected 5.06335\n",
      "2024-07-03 14:33:44.551616: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 2: 5.65478, expected 4.90426\n",
      "2024-07-03 14:33:44.551624: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 6.2384, expected 5.48788\n",
      "2024-07-03 14:33:44.551631: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 5.85899, expected 5.10847\n",
      "2024-07-03 14:33:44.551639: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 5: 5.234, expected 4.48348\n",
      "2024-07-03 14:33:44.551647: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 5.17387, expected 4.42335\n",
      "2024-07-03 14:33:44.551655: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 5.33883, expected 4.58831\n",
      "2024-07-03 14:33:44.551662: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 4.69023, expected 3.93971\n",
      "2024-07-03 14:33:44.551670: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 5.88838, expected 5.13786\n",
      "2024-07-03 14:33:44.578829: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n",
      "(f32[19,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[19,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=1,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n",
      "2024-07-03 14:33:44.578890: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n",
      "2024-07-03 14:33:44.578899: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n",
      "2024-07-03 14:33:44.578906: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n",
      "2024-07-03 14:33:44.578913: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: <undefined>\n",
      "2024-07-03 14:33:44.578931: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n",
      "2024-07-03 14:33:45.176841: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 0: 3.83445, expected 3.08393\n",
      "2024-07-03 14:33:45.176900: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 1: 5.81387, expected 5.06335\n",
      "2024-07-03 14:33:45.176909: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 2: 5.65478, expected 4.90426\n",
      "2024-07-03 14:33:45.176917: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 3: 6.2384, expected 5.48788\n",
      "2024-07-03 14:33:45.176925: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 4: 5.85899, expected 5.10847\n",
      "2024-07-03 14:33:45.176935: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 5: 5.234, expected 4.48348\n",
      "2024-07-03 14:33:45.176942: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 6: 5.17387, expected 4.42335\n",
      "2024-07-03 14:33:45.176950: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 7: 5.33883, expected 4.58831\n",
      "2024-07-03 14:33:45.176958: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 8: 4.69023, expected 3.93971\n",
      "2024-07-03 14:33:45.176965: E external/local_xla/xla/service/gpu/buffer_comparator.cc:1137] Difference at 9: 5.88838, expected 5.13786\n",
      "2024-07-03 14:33:45.203806: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:705] Results mismatch between different convolution algorithms. This is likely a bug/unexpected loss of precision in cudnn.\n",
      "(f32[19,64,224,224]{3,2,1,0}, u8[0]{0}) custom-call(f32[19,3,224,224]{3,2,1,0}, f32[64,3,3,3]{3,2,1,0}, f32[64]{0}), window={size=3x3 pad=1_1x1_1}, dim_labels=bf01_oi01->bf01, custom_call_target=\"__cudnn$convBiasActivationForward\", backend_config={\"conv_result_scale\":1,\"activation_mode\":\"kRelu\",\"side_input_scale\":0,\"leakyrelu_alpha\":0} for eng20{k2=1,k4=1,k5=1,k6=0,k7=0} vs eng15{k5=1,k6=0,k7=1,k10=1}\n",
      "2024-07-03 14:33:45.203865: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:270] Device: Tesla P100-PCIE-16GB\n",
      "2024-07-03 14:33:45.203873: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:271] Platform: Compute Capability 6.0\n",
      "2024-07-03 14:33:45.203880: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:272] Driver: 12020 (535.129.3)\n",
      "2024-07-03 14:33:45.203887: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:273] Runtime: <undefined>\n",
      "2024-07-03 14:33:45.203903: E external/local_xla/xla/service/gpu/conv_algorithm_picker.cc:280] cudnn version: 8.9.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 25ms/step - accuracy: 0.2812 - loss: 1.5536 - val_accuracy: 0.1053 - val_loss: 1697.2561\n",
      "Epoch 3/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m211s\u001b[0m 537ms/step - accuracy: 0.3758 - loss: 2.7733 - val_accuracy: 0.4163 - val_loss: 1.4006\n",
      "Epoch 4/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 165us/step - accuracy: 0.5312 - loss: 1.3797 - val_accuracy: 0.1579 - val_loss: 1285.9803\n",
      "Epoch 5/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m208s\u001b[0m 531ms/step - accuracy: 0.4059 - loss: 3.9082 - val_accuracy: 0.4316 - val_loss: 1.3601\n",
      "Epoch 6/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 176us/step - accuracy: 0.4688 - loss: 1.3354 - val_accuracy: 0.4211 - val_loss: 1057.9729\n",
      "Epoch 7/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m208s\u001b[0m 529ms/step - accuracy: 0.4182 - loss: 2.4114 - val_accuracy: 0.4486 - val_loss: 1.3281\n",
      "Epoch 8/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 159us/step - accuracy: 0.4062 - loss: 1.3474 - val_accuracy: 0.1053 - val_loss: 2267.2993\n",
      "Epoch 9/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m207s\u001b[0m 527ms/step - accuracy: 0.4407 - loss: 1.8668 - val_accuracy: 0.4710 - val_loss: 1.2927\n",
      "Epoch 10/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 167us/step - accuracy: 0.4062 - loss: 1.3229 - val_accuracy: 0.1579 - val_loss: 3465.2825\n",
      "Epoch 11/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m208s\u001b[0m 530ms/step - accuracy: 0.4471 - loss: 2.0171 - val_accuracy: 0.4723 - val_loss: 1.2863\n",
      "Epoch 12/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 162us/step - accuracy: 0.5000 - loss: 1.2761 - val_accuracy: 0.0526 - val_loss: 2056.7776\n",
      "Epoch 13/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m209s\u001b[0m 531ms/step - accuracy: 0.4410 - loss: 4.9122 - val_accuracy: 0.4723 - val_loss: 1.2782\n",
      "Epoch 14/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 162us/step - accuracy: 0.4062 - loss: 1.3454 - val_accuracy: 0.1579 - val_loss: 1386.1108\n",
      "Epoch 15/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m209s\u001b[0m 531ms/step - accuracy: 0.4789 - loss: 2.9871 - val_accuracy: 0.4613 - val_loss: 1.2988\n",
      "Epoch 16/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 172us/step - accuracy: 0.3750 - loss: 1.3475 - val_accuracy: 0.4211 - val_loss: 838.3410\n",
      "Epoch 17/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m208s\u001b[0m 530ms/step - accuracy: 0.4674 - loss: 1.8878 - val_accuracy: 0.4788 - val_loss: 1.2683\n",
      "Epoch 18/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 158us/step - accuracy: 0.4062 - loss: 1.3386 - val_accuracy: 0.1053 - val_loss: 2491.2471\n",
      "Epoch 19/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m208s\u001b[0m 530ms/step - accuracy: 0.4829 - loss: 2.3231 - val_accuracy: 0.4954 - val_loss: 1.2352\n",
      "Epoch 20/20\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 176us/step - accuracy: 0.4375 - loss: 1.2217 - val_accuracy: 0.1579 - val_loss: 2670.5591\n",
      "Training time in Minutes:  36.983\n"
     ]
    }
   ],
   "source": [
    "#Load VGG16 model without top layers\n",
    "base_model = VGG16(weights= 'imagenet',include_top=False,input_shape = (224,224,3))\n",
    "\n",
    "#adding additional layers\n",
    "x = base_model.output\n",
    "x = GlobalAveragePooling2D()(x)\n",
    "x = Dense(1024, activation='relu')(x)\n",
    "x = Dropout(0.5)(x)\n",
    "predictions = Dense(NUM_CLASSES, activation = 'softmax')(x)\n",
    "\n",
    "model = Model(inputs = base_model.input, outputs = predictions)\n",
    "\n",
    "\n",
    "#Freezing the layers except the last layers\n",
    "for layer in base_model.layers:\n",
    "    layer.trainable = False\n",
    "\n",
    "model.compile(optimizer= Adam(learning_rate=0.0001), loss='categorical_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "start_time = time.time()\n",
    "history =model.fit(\n",
    "    train_generator,\n",
    "    validation_data = test_generator,\n",
    "    epochs = EPOCHS,\n",
    "    steps_per_epoch = train_generator.samples// BATCH_SIZE,\n",
    "    validation_steps = test_generator.samples // BATCH_SIZE\n",
    ")\n",
    "end_time = time.time()\n",
    "print(\"Training time in Minutes: \",round((end_time-start_time)/60,3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:07:23.622227Z",
     "iopub.status.busy": "2024-07-03T15:07:23.621309Z",
     "iopub.status.idle": "2024-07-03T15:07:42.360387Z",
     "shell.execute_reply": "2024-07-03T15:07:42.359359Z",
     "shell.execute_reply.started": "2024-07-03T15:07:23.622192Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m97/97\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 179ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Evalute the model\n",
    "test_generator.reset()\n",
    "predictions = model.predict(test_generator)\n",
    "y_pred = np.argmax(predictions, axis = 1)\n",
    "y_true = test_data['label'].apply(lambda x: train_generator.class_indices[x]).values\n",
    "\n",
    "#auc and confusion matrix \n",
    "auc = roc_auc_score(y_true, predictions, multi_class='ovr')\n",
    "conf_matrix = confusion_matrix(y_true, y_pred)\n",
    "\n",
    "# Plot the heatmap for the confusion matrix\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=test_generator.class_indices, yticklabels=test_generator.class_indices)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:07:57.717821Z",
     "iopub.status.busy": "2024-07-03T15:07:57.717478Z",
     "iopub.status.idle": "2024-07-03T15:07:57.982136Z",
     "shell.execute_reply": "2024-07-03T15:07:57.981288Z",
     "shell.execute_reply.started": "2024-07-03T15:07:57.717794Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+2BAieyCdMdKaQtkFAG+s3o/q5k4AwMaDzfpvLXU7hawIABz7e/zYWoA1hwV9XOX+Su3WFSNLVgjtvLMGmYUfWHKBDCtgLxO+b61BcY4Vi2ePE99zqa4foWCkh+Ev0eQlbHYWCrFUo4M5NR9urMLDS3fitve34LPN6TnHIWHaGwHeK3zdklonRAD+Nbd3F0tvONCE+z7fDgC47eyRGF6ao+bKMG1IEa47cTAA4Nb/bex+wpauOYWe+w6nB48vF8p6NosJAPBhqGBLT6x6EmjcA2QXAyf8Ge+vq0I9nwsAOHigEi6PV+MFhqfR4cT/fGZ6l47yeeJkCxkR2EuE/33zaY4fUog/nCxolv7yzibsSWH9CAUjPYxkJvVGYrrPb2TlngY43dp90DucHvzr0+3i93/+70YcaqKpwiLSroKWFLySYhmF9sCgt7XThT+8vg4uD48zjirF5ZP7arA44IYZQzCpv6+WH+wF4ZAGI6kTJL/8YyXqW7vQJz8TfztrBADggw1V+tWHtdYA39wnfD3jTnSZsvHJ5mo0+IKRLFcj3v5Zv51Pr63ahy63F0f1zsHInC7hh9nC/gp7qfC/ZD7N9acM8etHUth/hIKRHsbaffKYnQUzsiwHvbLNcDg9YvZFC577/hdUNXeiPNeKMX1y0dLpxp/eWE+zcxjSYCTVpn/yvD+j0HEE8Lh9P+bxl3c3Y39jO3rnZeLeC0aD4+TL+sWDyWjAo5eOQ0G2GVurW/DPT7b5b5QGUCkSCLZ1ufHUN4JG5PpThuCs0WUwmwzYXdeGbdU6NQ9beifgbAN6jwfGXIqvt9ejtdMNb5ZwQi9EMx5ZtlOXJ+0ut0d0C776+AHgWBuymBnxl2kYRgPn049YsL2mFXd+sEXNJcsGBSM9iNqWThxq6oCBA8YkaXYWjMHA4Xhfi+93GulG6lo78YQvnXzzGcPx6KXjYLOYsLqyEf/+arcma9IdUo+FFCoVABACEHdn4PcA3v75ID7cUCVsypeOQ25Wct45yVKaa8VDFwsGVS+t3IdPNvmCvhQs07ywYi8aHU4MLMzG+eN6w27NwMk+F9uQuhitOfATsOF14esz7gcMBnywQQj8xo0ULPyLDC2obenCSzrUlH20oRr1rV0oybHgrKPL/doolhmxsTJN4LC84hwrHrlE0Cy98dOBlPS8oWCkB8GyIkNL7GLtV05O0Fg38tAXO9Hu9GBMRR5mjS5Hv17ZuOe8owAAjyzbiZ8qGzVZl65I5TJN8Am8vQG761pxu8/99MbThsqe8UuUE4cVi5OBb/7vRuw/3B4ouk2BrFRzh0vsnLl+xhCYPB3Alndx/lFCuePDDVXw6inj6PUCn/6f8PXYXwN9xqOl04Wl24TumROPETqrstCJTAgXLq06co3meR7Pfi8IV6+c0l8w6WMXDzbfGIMQmRHGcYML8ceT4/C80RkUjPQgxOF4Cm3Y03yZkc1VzTjc1qXI3wjH1qoWvPmzMMPh9rNHiOLc88b1xgXH9IaXh2AN3q6fzUcTpO28KaRbANAtGOlqqceC19ah0+XF8YML8bsTBmm0sNCw4Ki1y40Fr6+Fx5FaZZrnvvsFLZ1uDC2x4ezR5cCqp4G35+LUtQuQb+FxqKlD05JsN9a/ClStAyw5wIw7AACfba6B0+3FkGIbhvctA0yZAIDxvVxoanfhme/2RrpHVVn5y2Fsq25BZobRr3kSyzRBmpEQwQgA/PGUIZg6SPC8ue7V1JqZRMFID0Ip8SqjOMeK4aV28Dzw/W71siM8z+Oej7eC54GzRpdhfL+CgNvvOvco9O+VharmTtzyzkb9Cu/UQBqMtNUCnhQKzoLaYd/5fr3gUGkz46HZY2TtDpODDJ9+JDczAxsPNmPX3kr/jR1HAJd+hdVHHE4sWVEJAPjTjKEwGjixFdxwYCWeznsZAK+fUk1Hk6AVAYDpfxYzCR+sF9Z37thycAYDYBNO6tdOtAMQAi61L5zC8ZwvMLpwfB/kZflaertpRpiAtVbIBAVhNHBYfMlYFNos2FGbWvoRCkZ6CE63F5sOMbOzPMX+DuuqUbNU89X2Ovyw5zDMRgNuOX14t9ttFhMevXQcMowcPt1cgzd+OqDa2nSHtEwDPuh7nROUGdmySyghPHTxWBTbrVqsKCq98zLx4EWCfsRxJOi51rFu5Olvf0FblxujynMwc5TvBCjJ5kxq/gy/M36ITzZVw62HNtlv7hMEwr2GAJN+CwCoa+nED3uEfejcscLEW2QLQcqUYg+O7p0Lh9ODx7/W3o34l/o2LNsuXCjMO66//4bgzAjTjHhdQEfosnOx3YpHfTOT3vz5AN5Zmxr6EQpGeghbqprhdHuRn5WBATKZnYXiBF8w8p1K1vAujxf/8HUsXHX8AFQUhJ5BMrpPHv5vpjC19e8fbsGuWp12AihN8JAwHZ8QuxG01ny04rfTB4rvOb0yY2QJrjl+APIR9J7TqW6kvrULL/5QCQBYeOpQf8aJBSNH/QoA8OeMN3FM+wr8oPWAzPodwOqnha9PvxcwCVmFDzZUwcsLF1/ivuA7mXOOenE/eOXHfZq3/zOTsxkjijGwyOa/ITgYMWaILqyR3j9TBxfi+lMEwa6gH9H/fkfBSA+BlWjG9c1XtO1xfL98WDMMqGvtwg4VTviv/rgPv9Q70CvbjGtPiqwZuOb4gZg2pBCdLi/+8Hp6zHOIG5YJsQgixFTQLoj4gpEjBqHMOCzHiZtOG6blimLmz6cPR7FREBQ2+tav10DwyeV70OHyYGxFHk4e7hNOStuqT7kdmDgfBvBYnPEEfv5xuWZrBc8Dn90CeN3AsDOBITPEm1gJ6bxxvf3H+8o0cNRj2pBCTB5QAKfHi0eX7lJz1QE0tTvxX5/J2VXHD/Df4HYCnUI2WwxGAImINXJWc8HJg3Hc4F7ocHlwbQroRygY6SGI4lUFSzQAYM0w4tiBvQAoP8W3ud2FxcuETeRPpw5FjjVyS6fBwOHBi8eIM0TulZij9Qg8Ln97qW8ceUqJWH1XghtcgrjvpAoDMoypsYWZOQ9svBCMbPStX4/BSHVzB15ZJfhc3HjaUP+FS3ujv63aXg6cfi+ay6chi+vCZXtuRmejRkHtjk+APV8BRjMw8x/ij3+pb8PGg80wGjicdXSZ/3hfmQZtdeA4Dn/2lXXfXnNAM/fSV1ftR6fLi5FlOZji2zsB+H1pDCbAmuf/uShijfzZNRo4LJ49DkV2C3bWtuH29zfLu3CZSY1PMpE06/Yp20kjRa0W38e+2oWmdheGlthwycSKmH6n2G7F/b4a/gs/VGLp1hTSTCQL6+bgjOI48lTKjLibhKvHrXw/AEC2u0nD1cRJu1Df52HAdl54r9ZV6aeTg/H417vhdHsxqX8Bjh9c6L+hxac7yC4WyiBGE+y/fhmVXG+UcofR+fJs9ScRuzr982emLAAKBoo3vecTrk4bUoheNov/d1iLrG9y7/h++ZgxohheXrAGUBun2yv6nVx9/IDArDUr0WQVAgbJqdoe2mskFEV2Cx7x6UfeXnNQzMDoEQpGegDVzR2oau4UzM765Cn+904YKmxiqysbFUsNVjY48KLvQ/zXs0bCFMcV8knDinGNLx36f//dgJrmzii/kSawEk12EZDjS13r8Oo8FC0tTTA5hVHqtn7HCD90aKxViAffVS6XVYDCcuGkuW3Hdji63FquKoADje140yfuDsiKAECzL2jN9Zc8DFn5+OToR9DI25B3ZBPw3u9DdngoxsrHgKZ9Qtli2o3ij3mexwe+oXHnje0d+Dus3CHpKrvxtGHgOODjTdXY7BP5q8XHm6pQ29KFYrsFs8aUB97YFqQXYbAyTVv0YAQApg4qxA0zBP3Ibe9t1q1ejoKRHsDafU0AgOGlOchWwOwsmEFFNpTnWuF0e7FqrzInjEWfboPLw2P60CKxgyce/u/0YRhVnoMj7S786c047eK7WoFV/wEa9XdlGxG2AduKgRzfxqdTEWUwj733LQCgHVb86tTjhR+GGJanW9haswtxxnHjAQC5rnrc8/G2CL+kLo99tQsuD4/jBxdisrRcAPgzaDmBJ/cTJk/Cb50L4eSNwNb3gOWL1Fls8yHgu4eEr0+9G7D4RZ8bDjaj8nA7MjOMOHVkSeDv2fxlGsaIshyc4wsE7v9cvUnWPM/jOdHkrJ9gciYluK2XEcVrJBTXnTQY04YUivqRdqd+gmAGBSM9AL/ZWZ4qf4/jOElXjfylmh9/OYzPt9TCaODwV9/grnixmIx47NJxyDIbsfKXw3jqmxjb+xp/AZ49VXB6XHpHQn9bMxwsGCmRZEb0X6Z5f/0hbN4u6HsMueXIzvNtxu0NgoAxFWAlsqxeyC4UyjQl3BG8vnq/LkqFexsc+N9a4b2w8LSh3Q8IE4yMKs/B4V7j8Rf3NcIPvr0P2Pi2kksV+PJ2wNUOVBwLHH1hwE3vrRPWeurIku4XX6w1NqirbOGpQ2EycPhmZz1W/aJOkLtqbyM2H2qBNcOAyyb3635AcCcNwxZ/MGI0cHh49lgU2y3YVdeG29/Xn/8IBSM9AL94VT2r7GmibkReEavXKxicAcClkyowtMSe8H0NLLLh7+cIFtEPfbkzupvknq+B/5wE1PuuZo9UJvy3NYGVaWzFQI4v1dtSrW5qPU4OHmnH397djFIImgtrQR8gy3fV7nEKWapUgGVGsnoJAlAAJVwTjPDglnc2okFj461Hlu6Ex8vj5OHFofcJVs7LCSwlcByHWWPK8V/PdHycc7Hww/evAw6sVm6x+34ANv8XAAec8S9AUk5ye7z4aKOQ7TtvXHn332UndmdbgMalX69szPbpzu77fIcqtgQsK3LBMX1QkG3ufkCwFTwjgiV8JAptFjx66TgYOOC/aw7i7Z/15bdEwUia0+X2YMshodauZjBy3OBeMHDArro2VMnYw//uukPYfKgFdotJrIMmw4Xj+2DWmHJ4vDz++Po6tISaVcHzwMongFcuADqbgDxfN0SU1jrdIS3T2EoBcIJ5kk7LHR4vj4VvbkBrlxvH5PveQzm9AXMWkOHzjdDp2rshDUZsxQBnhAFeTC7yoKHNiVv+t0kzZ+Bdta1439cGu/DUMJ8pUTPSp9tN54wVTvo3NJwL5+AzAU8X8MZlQNN++Rfr9QCf/Fn4evwcoHxswM0/7DmMhrYu5GdliBdEAVjsgMlnkOeoC7jpj6cMgcVkwJp9R/D1jrruvysjlQ0OLN0m7B9XHTcg9EHikLzgMo0vu9NWE/eFxLEDe4mv8W3vb8ZOHelHKBhJczYfaoHT40VBthn9eoU2BFOCvCwzRvvEst/LVKppd7px3+dCuv66kwejUKqSTxCO4/CP849Cn/xMHDzSgb++uznwpODqBN67Fvj8VoD3AmMvB+Z8JNzmqBM2x1TBF4x0WYtQ4/D6r7h0Wqp56ps9WF3ZiGyzEeeyRgl2VciMn1IlGJGeWAxGse7/j1MKYDYasHRbrSgeVZuHl+4EzwOnjyrFUb1zQx8klmm6ZxsGFdlwVO8cuLwc3ul/u9Cp5agHXpstf+Zq7YtA7SbAmgucfFu3m9/3ddGcNbosdNs3x0naewOztiU5Vsyd2h8AcP/nOxUdAvj8ir3geeCkYUUYXGwLfVDYMg1zYXWHdWGNxLUnDhb9lq59da1uRNQUjKQ56yT+IkqanYWC6Ua+2SVPqeY/3/6C2pYu9MnPFDcNOcixZuDRS8fBaODw4YYqf/tbSzXwwlnAhtcAzgDMXASc+7hwdcgZhOAk2NFUz/iCkbu+rsfx//oKLRm+TU6HItaNB5vw8JdCq+Wd54xCjst3Mmcnw2xfqcah3tiBpGCeESyI8j2OAeZm3OjTaNz10VZUNjhUXdaWqmZ8sqkGHCd49YREangWpBlhMAHoO1uagEvfFE6YdVuB/14tX8De3ggsu1v4+qS/dssYdLo8+HyLULro1kUjhRmfhRiF8Lvpg2C3mLCtugUfblSm06y53YW3fhb2mGumDQx/IMvcBAcjxgz/zxL47Bp8+pGSHAt217Xhtvc262JeFwUjaQ7TQYxTsUTDmO5r8f1+V0N83SohqGnuxNPfCLNIbj1jBKwZxqTXJ+WYvvli+vKOD7bg0KZvgf+cCBz6WTAc+vU7wJRrhSsrg1GyGcRXt9USd4uw1j0d2XB7eaw+7EtX6ywz0u504/o31sPt5XHW0WW4cHyf7lfmTDeSKpkRaZkG8Gd4WqpwzbSBmDygAO1OD/701npVZ72wgG/W6HIMKw2jv2o/LJRewPnXHcTZo4XXZfXeRlTxBcClrwvlkF2fC2JTOVi+SMgEFI0AJlzd7eal22rR1uVGn/xMjI/kp8QyI47upZj8bDN+c4IQIDz05U64FHgtXlu9Hx0uD4aX2jF1UK/wB4Yr0wAJiVilFNosePQSQT/yzrpDeFsH/iMUjKQ5rK1XTb0IY0yfPNitJjR3uMQhfYnywBc70OHyYHy/fJx5dKlMKwzkd9MHYcrAXjjD/TWK/3e+UJMtGgH85mtg0EmBB0unZ6YARxxOdBwRrqIycktx8vBiHPIK74nag79oubRu3P3RVuxtcKA0x4p/nH+UkNFjTrFiMMLKNCmSGWGeKCyjwzIMrVUw+pyB7RYT1u1vwpPL1Rnctv5AE5Zuq4OBA66fMST8gc2+E5WtWJz7Ekx5XiYm9RemZX+0sQroPR4470nhxpX/Bta8kNxia7cAPz0rfH3GvYCxu0UBK9GcM6Y8chbYFrpMw7jq+AHolW3GvsPtePtneU/SLo9XnPvTzeRMCs+HL9MACbX3BjN5YC/c6BuncPv7m7GjRlv9CAUjaUxVUwdqWjphNHAYUxGmFqwgJqMBxw0SThrJdNVsPtSM//kmT/7trBGKlZuMvAfPlr6DB81PIQNu7Mg7AbjmywBnR5Ekr0zUpK3LjflLvocdQglg0RWn4InLj4ElXxAjrtqgHyOkz7fU4PXVB8BxwEOzxwij1D0uf9BnZ2WaFNOMiJkRVqbxZ0YAoE9+Fv5+rtDZ9ciyXdh4sEnxJT3ky4qcP64PBhWF0S0AYTtpgpnlE7KymTA46gKhnAIAH98I7P02sYXyPPDpzUJZdMQ5wMATux3S1O7Ecp/oNGAWTShs4TMjAJBtMeG6kwYDAB5ZtlPWGVafbKpGTUsnCm0WUfgbkq4WoVsMUCwYAYDfTx+EE4YW+fQjazTVj1Awksas8VnAjyizI8usvNlZKJhuJNFghOd53P3RVvA8cO7YcuXKTe2NwKu/QvZaYfrnI+4LcHrNb7C8MkwnUByWzFrS6fJg/os/o/qQ0NngNZjRp6wM1gwjzps+EQBQ4GnAFc+txoFGle28g6ht6cQt/9sIAPjNtIGY6gtkhUCEF2Z0sI05S7gKTwkXVp7vXqYRfV78Nf/zx/XGWUeXwe3lccOb6xUdbPZTZSO+3VkPk4HD9adEyIoAYT1GgjnzqFIYDRw2H2rBL2zOywn/Bxx9kSC2fPMKoGF3/Ivd+j5Q+Z1Q9jntnpCHfLKpBi4Pj+Gl9ujt/pL5NOG4/Ni+6J2XidqWLtGuPVmCTc4spgilZlaiMduBjMzut8c4nyYaBgOHhy8eg5IcC/bUO/DxJu30YxSMpDFa+IsEM22IcEJZd6ApdNtsFL7YWotVexthMRnEoVayU7cNeOZk4JflQsvoRS+iceKN4GHATW9vQF1rCLt4lhmJ0ZJZC9weYTrxyl8Oo8IsnBwM9hLRl8FaIGRG+mY0oaalE1c8tyr0Y1UBr5fHTW9vwJF2F0aV5wQab7Erc3uZf0ZHKpVpOpuFFmoghGbEr9dhnV0lORb8Uu/APz9Rxp2V53k84HMavWhCBfpG67KLMRjpZbOI82zE7AjHAef8G+gzSWiLf3020BHFz0eKsx344m/C18ddD+SHMAeDYIwHxJAVAQIm94bDYjKKpasnlu9JaO8K5qfKI9h4sBkWkwGXT+4b+WAWKIXSiwCylol72Sx47NJjsHj2WFw8IbYZX0pAwUgas3Z/EwBtg5GKgiwMLMyGx8vjh93xXcU63V4s8m3I86cNRO+8EFcIybL9Y+DZGcCRvYJ/yNVfAqPOw61njsDwUjsa2py48a0N3dv8xMyIPjUjXi+PP/9vI77cWguzyYA7T/ZtwNKUr+/k0sd4BH3yrKg83I4rn1uN5vbkN954ef6HSny3qwEWkwGPXDI28KoxVJkglQSsbI1mG5DhEw2zx9JSFeAim5dlxgO+QY4v/7hPEb+LH/Ycxqq9jTAbDfjDyYOj/0KIuTThOFdSqhE7NDKswCWvArkVwOHdwFtXCqW3WFjxCNB8AMjpAxx3Q8hDqpo6sGqv0OJ6TvB8l1CImZHIn90LxvXGoKJsNLW78Ox3yY9+eO57QZt1wTG9A4f3hSKSXgSQGJ/Jk8mYNKAgtkBOQSgYSVM6XR5srRJEo1oGI4CkVCNt8d37LfDFbcCupYA7tPvkSysrUXm4HUV2C3534iB5F8XzwDf3CeZMzjag/zRg/nKg9CgAgDVDsIu3Zhjw3a4GPPt9kMgzzmFVasLzPO76aCveWXsIRgOHJy47BsNtvhIM8ygARN2CwdWO164ciSK7BdtrWjHvhdWqzq7YVt2Cf30q+Mf87eyRGFwclGaXZkYY7IoxFVp7g0s0gP+xeLq6ZQqmDSkSW9f//N+NaHQ4ZVsKz/N48AshK3LZ5L4ojyXAj9LWK+W0UaWwmAz4pd6BLVUt/htsxcBlbwoB2d5vgU9uim7l37QfWLFY+HrmPYLZXQhYFmbSgILYHk8UASvDZDSIAs/nvvsFh5Nwyd132IEvtkYxOZMSLRgRNWv6vBhKBApG0pTNh5rh8vAotJlRUaBARiEOWKnm2531/qulD28AfngUePVXwH2DgLfnAZv/B3QKG9gRhxOPLtsFALjptKGwyTngr6sNeHsO8PU/hO8n/Qa44l1/p4OPISV23H62ICq877MdgaJCHW8Gi5fuwgs+xf4DF43GjJEloa2lzdmCeRSAvqYmvHTVJORYTVi7vwm/fXkNutzKG7p1ujy44Y31cHq8OGV4MX4dKn3dGuJkmEqmZ6FaNDOs/uAkRGv1LWcMx+BiG+pbu/CXd+RzZ12+sx5r9zfBmmHAtbEG+C2+jpIYghGbxYRTRgjvMbFUwygZBfzqOQCc0F3z45OR7+yLvwHuTuFCYeR5YQ9jXTQRvUUCFun7DDhbAVdkd+gzjirF0b1z4XB68PjXiXc5Pb+iEjwPTB9ahCGxjLBg7xlbuMyIpEys43EO8UDBSJoi9RdR2+wsmGMH9kKGkcPBIx2oPNwOeNzC6G9A2JCdrcCWd4D/XgXcNxB45Vf4/o37Yemsx/BSOy4cL2Md80glsGSmIIozZACzHgXOvF8wEgrBpZMqcMZRpXD77OLbmNo8CUtmJVny/V484gvi/n7OKJw/zmffLZ1LI0UUUlZhRFkOnp83CZkZRny3qwEL39yQtD9MNP712XbsqG1Foc2Mf104OvR7Vbwyl2RGmIC1qwVwy5c5UIRQmRHA3xnU0j3Vbs0wYvHssTAZOHy2pcZvxJcEPM/joS+EDporp/RHcY41ll+KuZuGwUolH26o6l7eHHY6MNN3EfDFX4GdX4S+k1++ET6jnAE4/d6A+TNSdta2Ylt1CzKMXOwt/5YcwOgrk0QQsQKCjuf/ZgrZkVd+3IdDCYy2aO5w4S3fHJhrpsWQFQFiyIwUQxjn4E6NgDwGKBhJU7T0Fwkm22LChH7CyePbnfVCndPrFrojbtwJXL1UqAf3GiwI/XYvxawD92GVZQHeMt0O4w+PJKbCD2bvt8Kgu9rNwod87kfCfIsIcByHey8YjfJcQVNx+/ubfQ/Kd1JP0JJZCf675iDu+kgYIrjw1KGYI3WpFYORoJHqUu0CgPH98vGfK8fDbDTg403Vsl6VB/PNzno8v6ISAHD/hWPC2/sHe4wAghEd59OV6H0zDnZfZYjPfWjTuaN654quqH//cGvS3U5fbK3FpkPNyDIb8dsTIjh/SnE0+FpMuZiDkROHFcNuMaG6uRM/7wshVj32WuCYOUKr7n+vAmq3Bt7ucQOf3SJ8PeFqsXQaCjahd/rQYqENPBY4TtLeG73Lb9qQQkweUACnx4tHl+6K7W9IePOn/Wh3ejCsxC4KfKMSLRgxZvgzbTosFScCBSNpCM/zkk6aPG0X42Oaz431u131/gFauX0E86KKicCpfwf+sAa47if8L/9qrPMOhoHjkdOwDlh6B/Dv8cC/JwFL/w4cWhNfNoLngdXPAC+dJwQOZWOB3ywH+h4b06/nZmVgMXMrXHtI2ABNZv+Vrg7aez/fUoObfW2xVx8/oLswsS1EmQYIKYSbNqQIj146FgYOePPnA1j06XbZA5LDbV246e0NAIA5U/rhpOHF4Q9mJ2u75GRoMPizI7oPRlhmpCDw5znRRYi/mz4IE/rlo63LjYVvrU84U+X1+rMiVx03ILqAksGee1tJ2OxhMNYMI04bJWQpPtgQItDiOOCsB4Xyi7NVmGEj1W/8vESwks/MB076S9i/w/O8v0QTakJvJNhJPkpmRFguJ3byvb3mAPawtuUYcHu8eMEXcEc0OQtGDEYiBC8yeY3oBQpG0pBDTR2oa+2CycCJw+q05gTfBM2Vew7D3egr0eR11wesaC7AjdWn4CL33aic87OwaQ06WciiNOwAvn9IaMN9eJRgpLTnq8hpercT+PCPPsGcR/A8uOqzkNNHIzFpQAH+6PNj+Nt7m7HvsEM3ItYVuxvwh9fWwePlcdH4PqGN4VhmJDtcmSbwpHH6UWW494LRAISZQE/I6ArK8zxu/t8m1Ld2YUixDbeeOSLSwf6TdfCVeaq094ruq8GZkdDPvRSjb45IttmInyqP4OlvE3sdPt5UjR21rbBbTZgfaR5KMBEG5EWCGXoJ/h8hLhyMGcDFLwEFg4Dm/YKQ3NUpPFdf+7xETr6tewAnYc2+IzjU1IFssxEzRpSEPS4koog1Ns3X+H75mDGiGF4eYlAXC59urkFVcycKbebIJmfBRMuMABLdmv5mSyUCBSNpCDM7G1meg0yzvDNcEmVkWQ4KbWY4nB5U7/d9mHMDgxGPl8c9HwutvL8+th/6DxgCTLxGEJf+3x7ggmcFIZvZJogaf3oWePl84P7BwP/mA1veE8SpjLY64MVZwNqXAHDAqXcBFzwT2kQoBhacNBgT+wtXqX98fR282dq3967bfwTzX/oZTo8Xp48qxaILjg599cWuALtpRgLLNFIunliBv50lBAr3f74DL/+4T5Y1v776AJZuq4XZaMDiS8ZGnjPUftjvRBk8FyVVOmrClWlEr5HIJ5OKgizccY4gpH74y53YHOdoBbfHi4eXCp+5+dMGIjcrtgwHgLjaeqUcN6gXemWb0ehwYsXuMK9PVgFw2VtCye3gauCDPwBf3SX4spQcDYyfG/FvsKzIzKNK459VxU7ycQy6vPG0YeA4IbCL5TXgeR7P+kzOfn1sv/jWGEswYteviD4RKBhJQ9bpwF8kGIOBE+ulRw75ru6CMiP/XXMA26pbkGM1dXeFzMwDRl8EXPyiEJhc9rZQd84uArqagU1vCR0y9w0EXr0YWPm4MOjuwI+AJRe4/G3BNCkJMa/JaMDiS8Yhx2rChoPN+L7Wt7lodGWyo6YV8174Ce1OD44fXIhHLh0LU6ix6V1tgMs3DTasZiT0Y7hm2kCx5HP7+5tFc6lE2VPfhrs+2gIA+L+ZwzCqPMqYAnZlnl3UfS6KWKbRh2YnLOEErBECwWAuGt8HM0eVwOXh8ac318dlUf7++ir8Uu9AXlYG5h3XP+bfE9YWm+FZMCajAWeNFoKtbl01UgoHCxkSg0n4DLMZNmfeJwykDIPL4xXdQmPuopHCPgcxlGkYI8pyRHHu/T7TuEis3X8EGw40wWwy4NfHhjZrC4nH5W/3Ds5kSpHZa0RrKBhJQ/ydNHnaLiQI5jfiZZ00ef4umbYuNx7wpT//eMoQ5GdHEKNlWIGhpwHnPArcuAO46nNg6h+A/AGCb8Ouz4HP/yJspL2GAPOXAUNOleUx9M7LxP0XjYHRwGFTs9CN8PmqDYFtyyqw/3A7rnhuFZraXRjXNw9PXzE+vL00m8GRkQVYgmaQRBFRAoIY9sop/cDzwI1vbcBX2xO7EnO6vbjhjfXodHlx3OBeuPr4GDoLQolXGSlTpgkzfVUyLC8aHMfhn+cfjUKbBbvq2vCvz7bH9KddHq/YXfXbEwbBbo0jKwIkHIwA/q6aL7bURg6eBk4HznzA//1RvwL6TY1439/tqkejw4lCmyXy5NtwRJlPE46Fpw6FycDhm531WPVLZK0SM0o7f2zv8OLsULDglTMIuplwpMhIilihYCTNEMzOBK8OPWVGAOB4n99IXpfvwyPJjDz9zR7Ut3ahf68sXDmlf+x3ajAKQtTT7gH+uA649kfg5L8BfSYCoy4QApHCKLM34mTmqFJ8fsMJ6N1HOJl6Wmpw5ZLVmPXv7/HxxmrF22HrWjrx6+dWoa61C8NK7Hh+7kRkR/JhCVeiAfxXVx2NYT0XOI7DnbNG4byx5XB7efz+lbVRN+JQLF66E5sONSMvKwMPXjQWBkMMWapQ4lVGqgzLY5mbbpkR33Pf2Qw4HVHvppfNgvsvFHQ8z6+oFMTgUfjvmoPY39iOQpsZc6bGcXXOiLOtV8oxffPROy8TbV1ufLU9ykl/wjzhc1txbNj5M1JYiebs0WWhs4HREAWs8c3M6tcrG7MnChdR932+I+wFyIHGdny+Rdjnro61nZfBSjRZhf7xB6HQiWZNLigYSTM2HmyG28ujyG5Bn3xtzc6CKbZbMbLUhnLOd6XoC0aqmjrwn28Fh9NbzhgBsynBtyXHAcUjhOFc1ywFLnpeNPWSm8HFNpx3wngAwNE5HcjMMGLzoRZc99panPLgcry+er8ipmFN7U5c8dxq7G9sR9+CLLx89aToLY3inIsQwUhmPmDyvU8ipHsNBg73XzQGM0YUo8vtxTUv/hyXduHHXw7jyW+E8tyi849GaW4MHhfSNYXMjPhO7nrWjLi7hI4RoHswYskR9E9AVN0I46Thxfj1scLn5qa3N6CpPbx4u8vtwWO+rMjvTxyc2LDMZp+/SZyCb0B4z5w9xleqWR89+4MT/g+4+vOogY+jy40vtgjZuYQtzBPMjABC5tZiMmDNviNhg6znV1TCywttwVEH9wUjfl4j6EUA6qYhdIKjAXjmFEHEKUHa0qu12VkozhgAmDkPPDCKV7v3fbYdXW4vJg8owMxRcaritcSnZq/IaMEPt5yMG2YMQV5WBioPt+PWdzZh2r++xn++3eM3SksSR5cbc5//CTtqW1Fst+DVaybHZlwVzvAMEAK4GLULGUYD/n3ZMZg8oACtXW5cuWQ1dtdFb3Ns7nBh4ZvrwfPAxRP64Iyjy6L+jkgowzNGKsynYYGSwdQ9MOa4kAPzovGXM0dgYGE2alu68Nf3Noe9On9j9QFUNXeiNMcafTBbKLzeyMFgDLBSzVc76mQZNgcAX26tRYfLg369sjCmT4IXGzFM7g1HSY5VtOu///Md3YzdWjpdePMnwb7gmng6lxjhynrBiMM6a3VlvJgoFIykKnu+Ag79LPhnSFi7T/tJvZE4sViYCluLAvAGI9YfaMJ766vAccBtZ4/UZQAVFknNNj8rAzfMGIoVN5+M284eibJcK+pau/DPT7Zj6qJlePCLHUnNtuhye/Cbl3/G+gNNyMvKwCvXTEZFQZRpqwyxTBMm0ItDSGnNMOLZORNwdO9cNDqcuOK5VTh4JLwZF8/z+Nt7m1HV3In+vbJwx6xRsa2ZEWkuSioEI1Lxaqj3Nnvu4xAhZplNeGj2WBgNHD7eWC2WLKR0OD3499eCUeB1Jw+Ov9sEELQ4zPAsuJMpRkaW5WBQUTacbq+YzUgWJqI+d2zvxPcLZrPe1SK0FMfJ76YPgt1iwvaaVny4MfD5f+unA3A4PRhSbMMJQ2I0OZMSSycNkHYurBSMpCrsSqppvzhwSjA7awIAHNNPn8HI8MwmAMABby9sq27FPT7H0AvG9cFRvZUpqSgGuzLxdAnj0SG4zV59/AB8838n4b4LR2NgUTZaOt147KvdOO5fX+GO9zdHPHmHwu3x4o+vr8OK3YeRbTbihXmT4kv9OiJoRoC4ghEAsFsz8OJVkzCoKBvVzZ244rnVaAgTaL23/hA+3FDl98uId8ZQqCF5jFRo7Q3X1suIQUAcirEVefjjyYIW6rb3N3ezKX/lx32ob+1C77xMzE50LHwChmfBcByHc8YIgWTErpoYOdzWhW93Cc/pufH4dgRjzQOMvvJmAqWa/GwzfuNzsX3oy52il4rb4xVdheMyOZMSao5UKKQurGnQUUPBSKrCNmlXu/jmPXikAw1tXcgwcjhapyf2jBZhRsNBvgh3fLAZP+87AmuGQZz/kFJkWIVNDejW6282GXDxhAos/dN0PPXrYzC6Ty46XV68uHIfpt+/HAvfXI+dta1R/4TXy+OWdzbh8y21MJsMeObKCRhbkRffOiMJWIG4gxEAKMg245VrJqN3Xib2Njhw5XOr0dwRmIY/0NiO294T2nhvOGUIxiWSrRPLBKEyIxIBq17T1KLhWZiOjyit1ZG47qRBGNc3D62dbtz41nqxXODocov6nOtPGZK4BitBj5FgmNnXit0NSWUHAcHjw+PlcXTvXAwqskX/hXBwnKRUE5+IlXHV8QPQK9uMfYfbxdkzn2+pxaGmDhRkmxPXs8RapgEkA/NS32uEgpFURXriOFIJwK8XGVmem1haVg2a/cHIT5XCen97wqDYBY16Qzo9MwQGA4fTjyrD+9cdh9eumYzjBxfC4+XxzrpDOO3hb3HNiz+LJnXB8LxgAvffNQdhNHD496XjMDXW2RZSws2lER9DYlfnZbmZeOWaySi0WbC1ugXXvPgTOpyCaNft8eJPb65HW5cbE/rl49qTBke5txB0tQppdCCMZsTnM8J7BK8ZPRLOY4QhakbizxqYjAY8fPFYZGYY8eMvjXjOZ7D1wg+VaHQ40b9XFi44JolAIolOGikDCrMxuk8uPF4en2xK7gqelaSSyoowWKkmgcwIIGRBr/O9rx9dtgudLg+e/V4Q4sdtcibFEaOAFUgrrxEKRlIV6YnjiODbsWafX7yqW3xzaQ7ywkm1JMeC305PQOSlF2yx9fpzHIepgwvxyjWT8cGC43DGUaXgOGDptlr86skfcPHTK7F8R12AGPGxr3ZjyQrhBHPfr0aL8z7ihl35hTNQSkC3wBhQmI2XrpoEu9WEnyqP4HevrIHT7cUTy/fg531HYLeY8LBP3xA3LFtgyQEsIcpSJotwG+DPQOiNqGWa2L1GQtG/MBu3nT0SgCCm/KmyUexMu2HG0MTaXhktvk6anPg7aYJhQtZkSjUHGtuxZt8RcJz//pIiCREr4/Jj+6J3XiZqW7pw49sbsG5/E8xGA66Ix+QsmFg1I0DM+08qQMFIqhIhM6JX8SoAMRhx2YQN7qbThiXWcqgXEmivG90nD0/+ejyWLpyO2RMqkGHksHpvI+Y+/xPOfPR7fLChCku+34uHvhRM4O6YNRK/Gp/gCYHnI3fTAAmVaaSMLM/B83MnwpphwDc76zH3+dWi0dZd542KXWgbjOgxEkE8qXcRK1tXuJR7TuKZEcalkypwyvBiOD1eXP7MKjR3uDCk2IZZyZ6wZcqMAMDZo8vBccBPlUe66VtihQlXpw7qFVsXWTRYZiSJYMRiMuL6GYJ25+ONQvB87thyFNnjMDkLRizTxJMZoWAkPVDROVMWPK7AD1BTJdqdbmyrFjQIehWvgudF34Lrzj8Zj1wyFhcmepLVC6KtdPw120FFNvzrwtH47s8n45rjByDLbMS26hb88fV1uMsn7L1hxhDMOy5O0yQpnc2CwBaIHoy01Qrj2xNgQv8CPH3FBGQYOfyw5zA8Xh7njClPzKqbEUtbqRiM6FTEyk4s4co0LDPSVid8rhOA4zjc+6vR6JVthtMnpPzTqUMTy0ZJkUkzAgCluVZM6i+U1T5MIDvC8zzeE0s0ya8HgD8zkmCZhnHBuN4YVJQtfh+3yZkUno8vM5JGXiMJBSOPP/44+vfvD6vVismTJ2P16tUx/d4bb7wBjuNw3nnnJfJn5ee1S4B7+wL7Vmi9kvhorQEgCaCO7MPGg83weHmU5FhQrlf9RVsd4O4EwGHI4GHJtebpBRmuTEpzrfjb2SPxwy0n408zhiLfN8hs3nH9u8/oiRe2sVlywg8IzC4SfDB4b1JCuOlDi7B49jgYOKCiIBN3n3dUcq9vLBNj9d5RE00zklUIGDIA8Em9h4rsFtz7q9HgOGBMn1ycnmhJT0oSVvChYELWmAzQgtha3YLddW0wmww4/SgZHhuQ0HyaUJiMBtx8+nAAwCnDizG8NCfxO3O2+fZIxCdgTQPNSNz58TfffBMLFy7EU089hcmTJ2Px4sWYOXMmduzYgeLi8K1IlZWVuOmmmzBt2rSkFiwrzjbhyjGJFKkmBK/3yL6AEo1uT/A+8SpyyrsPPUtV7IlnRoLJyzLj+hlDMP+EAdjb4MDIspzkX8toJRpAsNS3lwmvT0tVUlfCZ40uw7i+JyM3MyP+Nt5gIs2lYaRKmSZcMGIw+J77/cJzn5dgGy6AU0eWYNnC6Si0W2Kz2o+E1xvZ4yUBzjyqDHe8v0UMLAYXx94NwwKYU4YXIyfe+TrhEAWsiXXTSDltVCmW3TgdZcleCLK1ZGQD5uzIxwI9u5vmoYcewvz58zFv3jyMHDkSTz31FLKysrBkyZKwv+PxeHD55Zfj73//OwYO1JFYkVkcM8vjVIFdseT70oEtB7GhUrgy1LdexDcgLzfxDVd32OS/MskymzCqPFeeoDJaJw1DzPAkH5iX52UmH4gAkT1GGHoPRmJp08yR77kfWGST52Td3gB4XRAMz+TJRORnmzHNZwIWj5DV6+XF42Ur0QCyCFilDCqyJa9/E8XmMXbNSTOzem1vj5G4ghGn04k1a9ZgxowZ/jswGDBjxgysXLky7O/dddddKC4uxtVXX534SpWARfxxtjRqDtuky8cBJivAe1GzXxAMHtMvT7t1RcMnXpUOyEt5xDSpTq9M2mKsPycpYlWE1hiuzPVcpvF6hQGEQPhuGkCfzz27QLOXJmx4FgoWTHy4oSrmKder9jaiurkTdqsJJw2PQUcRK0nMp1GMePQigC+g4oT2dr3qpmIkrmCkoaEBHo8HJSWBV1klJSWoqQld7/z+++/x3HPP4Zlnngl5eyi6urrQ0tIS8E8R2CbQnKLBSE45kCe0kNk6D8FsNGBUuT7NzgAATb4yTToFIyzj4HIIvhh6I9bMSIJOoIoSaS4NQ8+Zkc4mQYcD+D1RQmHXYTAiYyeNlFNHlsCaYcDeBgc2H4ptX/9gg/CePPOoMlhMMvonsRN+Z3NClvCKEG8wYjT5j01xEaui3TStra244oor8Mwzz6CwMHazpkWLFiE3N1f8V1GhUFqflWlaUqxMI71izBeCkb5cHUb1ztGv2RkgyYykUZnGYgPMPg8MPWZHormvMpJwAlUEt9O/MUfKjIgurDq8KmTZGmtu5OyCHjMjMotXGdkWE04ZIQTGrFU3El1uj79ldpy8gREy833iYciiG5EF9p6xxZEBsqeH10hcwUhhYSGMRiNqawM33draWpSWdq8r7tmzB5WVlZg1axZMJhNMJhNeeuklfPDBBzCZTNizZ0/Iv3PrrbeiublZ/HfgwIF4lhk77IOWypmR/P4AgAquXt96EcAvYE2nzAggEbHqcDOINpeGobcTItPgGM3hxZ+AvjMj0cSrjBwdumiyYCRX/tZ7Zlj20cbqbhNvg1m+ox4tnW6U5FgweUCU5zFeOE5/pZp4MyOAXzeix/0nDuIKRsxmM8aPH49ly5aJP/N6vVi2bBmmTJnS7fjhw4dj06ZNWL9+vfjvnHPOwUknnYT169eHzXhYLBbk5OQE/FME1jXQ0Qg44xtepilSlXuePzOi62CE5yWZkSTcCfWITce9/jELWHVWpmEnZntZ6Gm3DDbzRY8OrNHcVxl61K41x9BWnSAnDiuC3WpCTUsnVlc2RjyWddGcM6Y8ed+UULCTfoLzaWQnHit4Rpp4jcQt/V24cCHmzJmDCRMmYNKkSVi8eDEcDgfmzZsHALjyyivRu3dvLFq0CFarFUcddVTA7+fl5QFAt59rgjVPaKFyOYQTfGEC8zPUxusJMIPqtFfACqAPV4cSPYtX2w8LQ/0A2VO/mqPnNCnbZGPNjLRWC4Gj1u3hsZYJ2Ine5QBcHeG9VLQg1oFn4nPv64gw6MCLUqEyDSC4lp4+qhRvrzmIDzZU4diBoTMerZ0uLN0mBNOydtFI0V1mJA73VYYCHX1aEPe7fvbs2XjggQdw++23Y+zYsVi/fj0+++wzUdS6f/9+VFenyJPCcf7siJ6uSiLhqAe8boAzALYSbO8UhHH9DfUoy9XRRhwMy4rYSoVpt+kE2wz0lib1eiVXWlGCEZbq9Tj1UfIQPUYiiFcBYWYNq/vrYd1SxDJNBPEq4H//6OW5BxQNRgC/Adqnm6rh8oRuSf1scw263F4MKsrGqHKFsuMyt/cmjSPO1l5A/x19MZJQU/SCBQuwYMGCkLctX7484u++8MILifxJ5cjpDTTsTJ1ghJVobCWA0YTVTXaMBZCHVqCzBbAq9KFNlnQUrzL0uhl0HBECVyD6lZbJLBzjqBfeY/FshkoQazcHxwlrba0WrioV0DgkjBiMRHkuTWbhpOioE8Tp8YgXlcDr9QeDMljBh2LKwF4otJnR0ObE97sacNLw7sEy8xY5T0mnZhnm08iKGIxEuXiQkiaTe3WQD9SY3BQTsQZt0qsOudDI+5wMmamYHklX8SogcUHUWWaEZUUyC2JzvNWTiFUckheDZkGvHTWxlmkAWQbmyYajXjA84wz+rI3MmIwGnD06/CTfutZOrNgtPH+KlWgA2ebTyILHDbT7NDRxaUZ0XCaOAwpGRPFYirT3SoIRnuex7kAT9vO+D9QRHQcj6Wh4xtDrGO9YrOCl6ElIGcuQPAYrg7RHFkOqTqzdNIDkuddBMML2Qlup4GOhEGyq8BdbatDh9ATc9uGGanh5YFzfPPTtleDU51hgnw09CFg7GiHMHOOil/akiN00tSntwkrBSKq190pquZWH29HocKIKLBip1GxZUWHBSDpZwTP0WqaJ1WOEoad0bzymW3p1YY21mwbwP/e6CEaUMTwL5pi+eeiTnwmH04Nl2wM/Ox/4PEiSmvocC3oSsLLPa1YvYV5UrKSJCysFI6kmYJVsFGv3CcPxOm2+bIOeyzSi+2qatfUC/mCkq1no6NALYjASpa2XoZcyjdcbZ2ZEp14jLFMTU2ZE0s2kNezCTCG9CIPjODE7Ip3ku7fBgQ0Hm2E0cDhrdBQBc7LoScCaiMcIEOTCqoP3T4JQMJLDhuWlWDBiL8ca36Rea5FvYJ5eMyMBHiNpmBmx5AAmXyeTnko1rEwTqxhOL5bwrGMMXGyBlO41I3EEI1o/99I1qNCCzwzQlu+oR3OHC4DfmfX4wYUotFmUXQDLjHQ2Ae4uZf9WNOLRGAWj1+xsHFAwwqL/rmZ9zhYJprV7ZqSwYpjwM71qRjqOAE7fc5uOZRqO06eILN4yjV4s4dl73FYS25A20fhMR8GI0wG4fVmyWMo0ennuAVWDkeGldgwptsHp8eLzLTXgeR7v+7Ik58lt/x4Kax5g8OlitLaEd8ToCRQKe+p7jVAwYrEDFt9wOa3T09HgeXGNDmsJdtYKJ/iBQ0cJtzftE47RG6yTJrsIMCsoRtMSPXqNOOIt0+hERBnLgDwpYplGRwJWVjIyWgBzdvTj9TQsTyXNCCCUalh25MMNVdh4sBl7GxywZhhw2khlOnkCMBgkLqwal2oSLdMAko4+yoykNmJ7r847ajqOAG5huuTaI1Z4eaB3XiYKew8S2vDcnfp8M6azeJUhZkZ09PyLmZEYNzcmonT6PGu0QjruIBb0WKaRptxj8cjI0clzD0g0I+p4tjADtBW7G/Dc93sBAKeOLEW2RblOngDYyV8vmZGEyjQ6Ep8nCAUjgL5aGiPB1pdViE+3CyWa4wb3ElLZTPuiR91IUxp7jDD0OKwq1rk0DIvNnyXUclMTdVFxZkb0VKaJ1X2VYbEL2iNA2+fe6w0oBatBv17ZGFORBy8vNTpT528D8H8+Ujkzold7gTigYATwf+j0LmL1bdJ8Tjk+3SRsWEyNjnxfl4oedSPp7DHCsOksM+L1+E+IsQYjgD6ElPF00gD+K8mOI8Lj1gOxuq9K0UM3k6NOMm5ChTKJD1aqAYC8rAxMG6KiC61e2nuTKtOwzAgFI6kNS0fq3fjMt0kdNvTCkXYXemWbMYUNmRKDkUpt1haJnhCM6E1A5mgAeK9wUomltZQhOoFqmRmJc2JsJss+8EJAogcS6YzQg9cIe+4VNjwL5uzRZWI166yjy2A2qXhq0svk3kSs4BlpMLmXghEgdYzPfJvUzg4hnXvm0WUwGX0vYX5/4X89eo0094BgREz16iQzwtaRVRifgZIers5b4syMGE1CVwSgH6+ReNxXGWwfatXwuVfJYySYkhwrTh9Vigwjh0snqbxP6CYzIkNrb1utfrKDcaJe6KtnUsX4zHeC+LlR8LSYJUltIq+/8L+eMyNpLWDV2ZVJvJ00DK31U5KOsZjm0jCyCwWvCEcDUDRMkaXFRTzuqww9zKdRsZMmmIdnj0VrpxtFdoW9RYLRg/GZ0wG42n3rSaBME+DCejix9mCNocwIEGh8psfWWIbvBLHPlYfSHCsm9Mv338YyI3rTjHQ2C/+A9DQ8Y7AUe0cj4HZquxYg/k4ahtaq/K4WwOUQvo61tRfQX0eNw5cZicXwjKGLrJSvVJ2j/vRja4ZR/UAE0MfkXva3TZmxtYIHYzT5AxC9lIrjhIIRwL8JuBz+E6ce8W1S1SjA2aPLYDBIWgaZZqTlkPZOglJYJ01mgdAxkK5k5gNG32RcPZRq4u2kYWidGWEnYmtufJuy3izhEynT6MFrRMPMiGawz4iWZRqxRFMUWyt4KFK8o4aCEUAw4mIiOB2Xanjf2mr4gsASDSC8iTOyAPD68ktJZxt4KRynr82gLUE3R61LBfF6jDBEF1a9BCOJlGl0EIxopBnRFFam6TgCeFzarCEZjxFGinfUUDDCyNW5iLWzBZyzDQCQkdcbo/vkBt7Ocf4hdEf2qry4CDT3AI8Rhihi1cFmEO9cGgYLAtoPA65OedcUC4lemadDZkR87hu0y26Kz7/6ZRrNyMwHOJ/IWyvjs2Ss4Bl6HEkRBxSMMMT0tI6yClJ8dcAWPgszxg4EFyqVp0fdiChe7QHBiJ5ErImWaTLzAZNV+FqL2jP7m7EanjH0pBnxuP0txvFc6WYVCPbxgDbPvdejuuGZLtCDJbycmRE9XAwlAAUjDJ239zoahJN6dagSDUOPXiOs1bgnZEb0NB8i0SstjtPW7yLRIW1sE9eDC2sHm5HDCcFdrHCctj4vbczwzOh/L/cUtBaxSjUjiaKni6EEoGCEofP23q3btwMAWjKKMKwkjBBUj14jPcEKnmHT0WYgZkYSSPuKfhcanBBFj5F4MyM6KtOwNWTmx+fxAkhErBrsQ2JLdWn86051sjX2GmF/N5lgxKYz48U4oWCEIbb36rNMs79yFwAgs7Bv6BININGM6CkY6SECVkA/NVu3018miLdMA2hrCZ+ogFVPwUgy5lXsudckEGRtvT1IvMrQej5NMlbwDDEzooPMbAJQMMLQcWak0eFEV6OwUZRXDAx/oN7KNF1t/pR1OhueMdiVidY1W7axGSTOpPGgZUcN0yzEqxmRlmm09gpKpJOGoeVz3xPbehmsTKOZgFWOMg3TjKSmCysFIwxRwFql/WYWxKebq1EC4aReUNY//IEsM9LZBHQ0Kb2s6LBOGmsukJmn6VJUQcyMaHxlIu2kMSTwEZd+FtTE1enPbCTaTePpEtwstSTeib1StHruAX9WOLcHddIwtHZhlSMzkl0E0YVVD9qpOKFghME2P3cn0N4Y+ViV+XBDFco435oipVAtNv/VmB50Iz2pkwbwX5k46oWOCq0Q3VcTbBPUyu+ClSZM1viEn4BgkGYSxiRo3lEjuq8mMmOEMiOaoOV8GumE7WSCEakLq9bZ2QSgYIRhsvijYx2199a1dGLV3kaUcjFeMeqpvbcnTOuVklXo8yvgNXZzTDIYsWukW5CeDBNxodSLbiQRjxGGpuLhBDuZ0gEtW3s7jggTtoHE3jNSUrijhoIRKTo0Pvt4UzXMvBMFnGB4Fj0Y0ZFupCeJVwGhJCLOh9BwM0imkwaQiChr1M3wiB4jCV6Z68WFVQ7NSGs14PXKt6ZYSFQ8nA7YNCzTsL+ZWSBkN5IhhTtqKBiRovVcjhB8uKEKpaxEk5EVXZCop/benuS+yhBV+RrqRsQyTQKdNICwMXNGX+1Zxc1ZvDJPMBjRi/FZMt00thKAMwh+H2qKKb0efzDSk6zgGeyz0tGoviW8HHoRRgp31FAwIkU0PtNHmeZAYzvW7m9CGedr07SXRU9f5+kxM9KDghE9zIdgwUi8VvAMg8T0Sk3zLfHKPM5OGoZuyjS+i4dEBKzGDEm5WMWLorY6IfjkjIkHsalMZoHEEl7lYFYOK3iGnTIj6YHO2ns/3iS8oY4r9s2piOWKUY+akZ7Q1suw6ykzksTmpoXXSLJlAr24sCZTpgG08Rphr7O9rOcZngE+S3j2/lG5VJNMJi0Y0oykCTqzhP9wg7A5H1/sFH4QyybNNCNN+9SvOUtxdfgj/p6UGdFDzTbRuTRStOjqaEnQY4TBMhFalml43n9ySVSMqEU3U7IlsnRAbO9V2WtE1jJN6s6noWBECuuv10FmZE99G7ZUtcBo4DAiu1X4YSwbRU4fId3ocWr7hmQ28GZ7/G2aqYwevEbkSPuKXR0qnhBZAJdoZkTUjGjYmt/VCnh9moNEr3S1CEbYBVhP1IswxPk0Kn925bCCZ9h04gKdABSMSJEaDmmZVQDw0QZhYz5+cCGsHb4PRyzBiNHkD6q01I00SzppEmnTTFW0dmF1tgNdLb61yFGmUemE6PX4N9BENSN6KNOwrExGNpCRmdh9aJKV6sFtvQyt5tPIWqZhmZG6lHNhpWBEir3Mp2R3aWcLDIDneXy4UdiIZo0pj9+MSA+6kZ4oXgW0V7OzjdRkBSw5id+P2sGIHAJKPQhYRfFqEn4RWmSlKBiRtPemcJkmu0g4h6WgCysFI1KMJv+VrYbGZztqW7G7rg1mowGnjSpJIBjRQUdNTxSvAv5gpK1Wm+wa20izi5PLSKkdjMgxMVYPrb3iVW4ywYgWmpEe7L7K0MqF1SH5zCaL0eQPalKso4aCkWDYh1FDESsTrp44rAg5GfDXMGO9atGD10hTD/QYAXwbim8+hBYnxWQNzxjSE6Ias5oSHZAnhaW5O5vV94pgJNtJA6j/3AMSzUgPnEvD0Go+jZxlGiDwgiiFoGAkGI3be3mex4c+vcisMeW+OjoPGDJi3+D04DXSU8s0RpN/U9FCRCZHJw3gDwo8XYJdtdLIcWVuzRNS1IB2ItZkrOAZ7Ll3tQuBldJ4PcmLh9MBLSb3OtsBp89dW44yDSDxOqLMSGqT47sy0Mj4bOPBZuxvbEdmhhGnjCgONIKKdQJr/gDhf11oRnpYmQaQiFg1uDIRO2mS3NhMFn/wq0ZgLkcwYjAI5lWAdqUaOa5yzRKnZTVKNW21QibPYJLHeCtVETMjKn5u2efVaAEsdnnuM0U7aigYCUbjzAgr0ZwyohhZZlNiwjKmGWmtEsayq427y99NwrI0PQktjYfkyowA6moX5NIssIyEVuI9MTOSgPuqFDVFrFJ/l55oeMZggVh7o3ozmcTgtUi+rkM9uEAnAAUjwWhofOb18vhoo6REA0iGh8VRS8/qBZhtwtdsPoyasKySKTP5KZSpiOjCqkUwIoP7KkPNYCTZIXkMlpHQqqNGDEaSrP/nqNjeyz6vPVm8Cgh7FWcAwKuXWZMrkynFTpmR9EA0PlNRye7j531HUNPSCbvFhOlDiwLXEc9GwXHa6kakepGe5DHCsGmZGUlyLo0UVTMjMjmAat3eK5cYUXzuVaj7U1uvgMHoDyLVErHK2dbLIM1ImiCmR6tVN41hJZrTRpXCmuFLlya6UYheI5WyrC0ueqp4lZEuZRq7SsEIz/tPuokanjG0DkbkELACkuc+RfQ66YLa7b2KBCPUTZMe2IoFIRfvUfVk4vZ48ckmVqKRbMiJbhRaeo30ZPEq4A8E1N4MeF6ZMo3SuoWOI4C7Q/harjKN5poRmTIjalzdsjJNT27rZbCgQC3jMzEYkamtFwgU0KeQCysFI8EYjBI7ZvV0Iz/+0ojDDifyszJw3GDJGzPRSaZaeo0091CPEYaYJlU5GHG2+U/qqaQZYSfczAIgw5rcfYmZEQ2CEXeX34o/aQFrCoqH0wGbyh01SmRGRBdWb0q5sFIwEgpRxKpeey8r0ZxxdBkyjL6XxeuV9P/HuVHoRTPSE5EKWNUyrQL8WRGzDTBnJ39/ap0QEw24Q5GloYCVeZtwRn9rbqJootehzIgYFKjlNaJEMGI0+TVjKaQboWAkFCq39zrdXny62VeiGS0JOhz1gNctRLnxagCk82nUPCECfvfV3B4ajLDXyuNUxzCMIWeJBvCfELtahGm0SiH10kkWZsPu0CIYYe6rvWL3BAoHy651NAKujuTuKxIet2RAIWVG/CVWtTQjktZeOUnBjhoKRkKhcnvvd7vq0dLpRrHdgkkDJOldFgzZSoRoNx5YVqKrRd0Totvp1xj01MyIyQJk5gtfq7kZsNSyHJ00gGDCxIbtKdnVIWeZQEsBq1ziVUB4/5h8U3+VvLolw7NA0kHACkim91IwktqI7b3qlGlYieas0WUwGiStsMls0uYsf5Svpm6k5ZBQqzRa5P+ApRJabAZyZ0YAif5FwXKBOJdGjmBEUqZROyMo54wRjlPHa4QMzwJRU8Dq9SqYGdGwoy9BKBgJBcuMqFCv7XB68OVW4Yr27NFBm3GyV4xa6EZE8WpF8qnqVEa0ZFbTWpoFIzK09TLU0C4okRnxutSZ6yJFzswIINmHlMxKMcOzHu4xwlAzM9JxRMhKAfKbQ4peR6QZSW1y1SvTfL2jDg6nB73zMnFM37zAG5M1I5LqRtSip4tXGXYNNgO5JvZKyVFBPyWXxwggdOMw92G1SzVyByNqdPVRJ00grMTpaFDeEp6VaKx5gMks732L+0/qeI1QMBIKpipvqxU0EArCSjRnjykDF+xWmogVvBQtvEZE8WoP9RhhaOE1okSZRiwVKHl1LrMDqFa6EblHwavhNcIuuHIpMwLA997hIFjCK/z+Ea3gFdDqaHExlCQUjIQiqxdgNAPgFX0x27rc+Gq7cAKZFVyiAZJveWRlGjU1I5QZEdCiZtuWgmUaZzvQ2SR8nWjQHYxWw/Kk3TRyID73SmZGyAo+AKNJYpyncKlGKfEqQJqRtMFgUGUjWLq1Fl1uLwYWZmNUeU73A5Kd16FpmaYHTuuVooUls5xzaRhK25KzYD8jG7DmynOfWg3LYz4jsgcjKZSVSgfY50fp9l65M2lSWGDvqEsZF1YKRsLBSjUK6kb8JZry7iUank++nsvKNE371XtDNvdwK3iG2sPyeF4iYJWzTKNwqUAacMs1VFHsqFE5M6JUmUYV8TAFIyI2lYzPlMyMBLiwqmTgliQUjIRDND5Tpr23qd2Jb3cJb5JZo0OkpzuOAO5O4etE09c5vQX/AK9Lndqhx+0P3np8mUZiOqRGi2lnk2CyBigjYHXUC3bnciOneJXBrNhTXsDqC0baapURU3rc/n2BNCN+VMuMsEymAsGIwShxYU2NUg0FI+FQ2Pjs8y01cHl4DC+1Y0iJvfsB7IolqzDxeR0Go19IqoaItbXKZ6CU4c8M9FTY43d3+OeVKAnbOK25gumaXGQVCJ4xgDIBrRJlArHmr2Iw4vXKNySPYSsWrOV5jzL6hbZa4crZYOrZnkDBqDWfRskyDZByupEeHYysP9CEuz7cCrfH2/3GXGW9Rj7cwCb0hinByGWRraZuROyk6dOzPUYAwXSOuZeq0V4ntvXKKF4Fgsy3FAhGku0YC4UWZZrOJvk9IwxG/wlFiX2IBYL2cjI8k6LWfBqxTKOQ822KddT02DNGu9ON+S/9jCUr9uKal35GW1dQGjRHORfW+tYu/LBH2ChDdtEA8l0xqtneS500gYgiVhWuTJTopGEo6TWihM+FFq29TLxqyZHXM0JJ3UgLtfWGRK35NEpqRgBtRPRJ0GODkSyzCXefexSsGQYs31GPC5/8AdXNkoFUChqffbq5Gl4eGNMnF317ZYU+SK5NmmVG1GjvlbqvEuq6sLYpWH+2K2hLrkQwIpZpVMyMyN3Wy1DyuW9OslsvXVFNwKqQFTxDHOVAmRHdc/pRpXjzN1NQaLNge00rznt8BTYf8llIs6vB9gbA1Snr32VdNGFLNIB8m7SalvAs4Onpbb0MNdOkSpVpAGU7atIlM+JQKBhh+5ASs4GokyY0aghYXZ1+LZlSmhGbRESfAvToYAQAxlTk4b3rpmJoiQ21LV24+OmVWLq1NnBqpozp6ermDvxUKUzRPStUFw1DtjJNf+F/VTQjvjJNT3dfZajpwqqkm6NSZRqPy//cyDEkj8ECAmeb7BcSYWGBj9wnFiWH5dFcmtCwz1B7g3KWCOzzajTL568TjJgZSeNg5PHHH0f//v1htVoxefJkrF69Ouyx77zzDiZMmIC8vDxkZ2dj7NixePnllxNesBL0yc/Cf38/FdOGFKLd6cFvXv4Zz/9QKRGxyrcJf7xRuLqc1L8AZbmZ4Q+US9jHgpG2GsDVEfHQpGECVtKMCKipZldiLg1DKQFrWy0AXv5uDmuucJ+AetkRsUwjdzCi4LA8soIPTVYhAE7oNFLq/SPVi8jlrxOMPc0zI2+++SYWLlyIO+64A2vXrsWYMWMwc+ZM1NWFTmkVFBTgr3/9K1auXImNGzdi3rx5mDdvHj7//POkFy8nOdYMLJk7EZdOqoCXB/7+4Vb84swTbpRRN+Iv0UQJMuRKoWbm+7s6WOZCCbxeoNl3pUXBiAALJNXIjChaplGos6xFEnDL2X3FceqXakT31QJ571fJYXk0JC80RpP/dVSqVKN0Wy+Qci6sce8ADz30EObPn4958+Zh5MiReOqpp5CVlYUlS5aEPP7EE0/E+eefjxEjRmDQoEG4/vrrMXr0aHz//fdJL15uMowG/PP8o3HLGcMBAGuOCOJSZ6M8J/F9hx3YcLAZBg444+gIwUhni7+emGxrL8epoxtpqxHM1TijvG2aqYxYs1VDM6KgMl+qGZFzU0t23EEk1G7vVerkIn3u5TTP87j9XV6sc5Dwwz67Ss2nUbqTht13CrmwxhWMOJ1OrFmzBjNmzPDfgcGAGTNmYOXKlVF/n+d5LFu2DDt27MAJJ5wQ9riuri60tLQE/FMLjuPwu+mD8MTlx6DOIGwsX65ah5rm5GvPH/lKNMcNLkShLYIxFTt5WXIBSwhDtHgR23sV1I2IepHewpUFod4Yb69HohlRIDOSXezb1DzybmpKeIww2JWtWsZnSnfTuDsFV2a5aKvxGZ5lkOFZKNhz0qbQSVyNYCTAhVX/HTVxBSMNDQ3weDwoKQnc8EpKSlBTE74u1dzcDJvNBrPZjLPOOguPPfYYTj311LDHL1q0CLm5ueK/igr1BZFnHl2Gs6dNBABY22tw3uMrsLUquaBILNGE8xZhyH3FKIpYK+W5v1DQgLzusMDA2Qo4Hcr9nfZGn+EWp0za12jyO8rKWS5Qckib2sPy5HZfZWRY/QGOnGUysa1X5hJZusC0V4pnRhQs0wAp5cKqyrvQbrdj/fr1+Omnn/CPf/wDCxcuxPLly8Mef+utt6K5uVn8d+DAATWW2Y1+/YcCAPpnHEFNSycueuoHfL0jsTfnztpWbK9pRYaRw8xRUazSxXkdMgcjSnqNUCdNdyx2IMPnI6PkZsA2zKwCwJihzN9QoqtDibk0DNXLNAp10wCSyclyPvc0rTciSrf3qpEZAVKqoyauYKSwsBBGoxG1tYFp59raWpSWhj/BGgwGDB48GGPHjsWNN96ICy+8EIsWLQp7vMViQU5OTsA/TfAFAwPMTZg6qBccTg+ufuEnvPxj/Cf1j3xZkROGFCE3K8oJQy4reIYamhFyX+0Ox6njgqikeJWhxDh7JQWULJuglvGZWKaRWcAKSHQjFIyoBjM+UzwYUcgKnpFCHTVxBSNmsxnjx4/HsmXLxJ95vV4sW7YMU6ZMifl+vF4vuroUmAAqN76WN0NnE164fBQuGt8HXh647b3NuOejrfB4YxOU8TyPDzdGmUUjRe6NQuo1otQEWTEYocxIADYVjM9EK3gFNzYlvEbYyVVOjxGGmmUaZzvgahe+lrtMAyiUlaJOmohkq1WmUSkzosZIiiSJW2m4cOFCzJkzBxMmTMCkSZOwePFiOBwOzJs3DwBw5ZVXonfv3mLmY9GiRZgwYQIGDRqErq4ufPLJJ3j55Zfx5JNPyvtIlMCaC5jtgLMVZkc17rtwNPoXZuP+z3fg2e/3Yl9jOx65ZCyyzJGfxi1VLdjb4IDFZMCMkTFcvcq9UbBshbNV0BdkyyyyAyRW8JQZCUC8MlEyM8Ks4BUMRuS2Jed5+cuRUtRs7WV/w2iWR3AejBKt1awNP5c6aUIiGhYqJWBVobUXSCnNSNzByOzZs1FfX4/bb78dNTU1GDt2LD777DNR1Lp//34YJIIoh8OBa6+9FgcPHkRmZiaGDx+OV155BbNnz5bvUShJbm+gfjvQchBc0VBcd9Jg9C3Iwo1vb8CXW2sx++kf8dycCSjOsYa9iw83CpvIKSOKYbPE8JTLbdOcYRVOJq3VQFOl/MGI10uGZ+FgmRElr0yUNDxjiLbkMmV42hsBjy87qkg3jQbBSFYvZQyslJhPQ5mRyIjzaRTIjPC8epkRNTKzMpFQD+aCBQuwYMGCkLcFC1Pvuece3HPPPYn8GX2Q4wtGJMZns8aUozzPivkvrcGmQ8047/EVWDJvIoaXdte28DyPjzb4SjTRumgYSvgv5PUT3pBHKoHe4+W7X0D4YHm6hPZPqkEHokZ7r5ITexmiZkSmMg27n+wieafcMtQclqeU+ypDidlApBmJjFimaRAutuTsOOo4Anh9U+JVy4zof3Iv9XRFIzd0inR8vwK8e+1UDCzKRlVzJy58ciW+2dk9pbd2fxMONXUg22zEScNjuHJ1dQIdPjdHOYMRJWfUML2IvVy5bo5Uxa5CZsShhmZEYgkvh+6oVcESDeDPjHQ0CicTJWGdNEqIVwH59Toelz9tT8FIaFiQwHv8+7FcsADZmguYIvhNyQHbfxx1gtGdjqFgJBrMnZANlZLQr1c23vn9VEweUIC2LjeueuEnvLYq0K2VeYucNqoU1gxj9L/HRH2mTMCal8zKA8lXsKNGnNZL4tVuqDE5Uw0BKxOZujvkMd9iJ1YlxKuAPxjhvUBnkzJ/g6HUkDwGCwQ7m+Xxq2mtgTATiAzPwmLMADKZJbzMWQW1SjTsb6SICysFI9FgmZEw82nyssx46epJuGBcb3i8PP7y7iYs+mQbvF4eHi+PjzexLpoY6+LSWq6c9WclvUZIvBoeNQRkarT2ym2+paR4FRBOJmwaqtKlGqXLNJYcwGwTvpajtVpqHUCGZ+Fhwb3c7b1qBiMGo0SMq28RK70ToxFDrdxiMuLBi8fgTzMEk7Snv/0F1722Ft/urEd9axdyMzNw/OAY33hKCcuU9Bohj5HwsI2gs0mZcfYel39Im+KeBTJqF+T20gmFKGJVOBhxKGQFz+A4iXmVHIGgL8tLM2kiw4IFuTMKarmvMtTIzsoABSPRYB/YKJN7OY7D9TOG4OHZY2A2GvDp5hr89uU1AIDTR5XCbIrxqVZKWMYyI80H5a8dsk4acl/tTmY+YPTVhZUwPnM0AOCFAYVKaRYYcopYW2XuGAtFlkpeI2KZRqFgBJA893IEI9RJExNiRiGFMyOAJJDVd0cNBSPRYGUaZ6tQs43C+eP64OWrJyEvKwNOjyCci8nojKFU+tpeJvggeN3yjyOnzEh4OM7vNaJEMMLuM7tISMkqiZzmW+w+lJzwrJYLq7S1VynkDEbYhVUuiVcjotR8GtWDkdToqKFgJBrmbL+QNEp2hDF5YC+8e+1xGF5qx9iKPBw7MI4rVqXGqhsM/mBBTt0Iz1MwEg0le/3Fab0qbGxymm+JQbeCJ8RslbxGlBqSJ0XWzAjbY6hMExGlJvdqFozoOzNCs95jIbePUPNvOQSUjIzpVwYUZuPT66cBEEo4MaNkCjWvH3B4t6AbGXCCPPfZfljosADIzTEcSrqwqiFeZch1QuxqBbp8WUZFNSMqlWnUcNOU0/hMqQuedEMUsMrdTcPeLyoHI0rOx5IByozEQoJ9/hzHxReIAMoGI2J7r4yZEZZlsZcp3zOfqijpwqpmMCLXCZFlRSw5ytinM9Qo03g9/lZnRcs0zAFXxhIZlWkio9R8GtKMhISCkViI0t4rGx6X/+SiRPpaND6rlO8+SbwaHSVrtm0qbmxynRBbVdCLAOoMy+s4AsBnApepoIBYLr0OGZ7Fji1NyjTUTZNGKDGxNBRSMyIl6s+svVdOzQjpRaKjZM1WizJNsuZbanVziGUaBTMjLOuSmQ8YFax6sz2orU4IKBKltRoAL4jZldS4pAPsM+Wol8/F193lb4RQq7WXBf2Oel27sFIwEgtsI2ju7sIqK6JFtkJmREpYwlMwEh2bgjVbNdxXGVaZzLdUC0aYgFVmO28panTSAELgYMgAwCd3hSvtYiLDs8iwzAXvkcd1GPAHrwaTvA7bkcguTAkXVno3xkKuSpkRpS2ymWbEUSePrTQgcV+lMk1Y7AqmSdWYSyNFDq8RtYKRbBU0I0q7rzIMBnlq/+yCisTm0TFmCBkvQD7diLREo1YwKHVh1bFuhIKRWMiRaEbkGBIWDqU36cx8v0V20/7Ix8YKZUaiwzIj7Q3JpdhDoWaZBpCno4ZtiEprRli2wt0hX/AdjNLuq1JE3UgKBILpQrbMHTVqdF6FIgU6aigYiQUWjMg1JCwcamwUctrCB3iM9Ev+/tKVrF5CWhaQ183R1emvP6uVGREt4ZMIRtQaX2+2+d1vlRKxilb8agQjLBBMpkSm0nOfLojtvTKVN9QWrzKU9DqSCQpGYiHD6k/DKqkbUWOjkFM30nEEcLYJX1PaNzwGgzKKdraxGc3q1Z/lyIy0SLRRSsJx/itQpUo1apVpAH8gmFRmhIKRuBDn08hVpqkLvF+1UGNgZ5JQMBIrom5Ehj7/cCg9yRSQeI1UJn9fLCuSXQxkZCZ/f+mMEpMzWZYlu1jeCc+RSLbF1O30b8hqnBDZvB6lMiOqlmlkGFRIVvDxIfd8Gq0yI6LeiIKR1IdZJ7comRlRoUzDMiNytPeSeDV2lLgyUVu8CiRvCc+CMaNZnRO40i6s4pA8FTIjcniNkGYkPpjXiFxdKGq7rzKUFNHLBAUjsaK08ZnXK5lkqqRmpL/wv5yZERKvRkcJAZkoXlUzGEmyTCNtLVUjm5NOZZpkA0G3U2KqSGXVmBAFrGmSGVHCBVomKBiJFTnHp4fCUS9M1OUMynZGSDUjyXYGUTASOzYFMiNqeowwmG7BUSec3OJFvDJXqUyQpfCwPCZgzVLQfZUhLdMk8tlt85kqqpWVSgfknk+jWTBCmpH0gV1JKJUZYUGOrUTob1eKvAoAHOByJH+1SFbwsaNEmlQMRlRq6wWEk5jR7Pv7CTwWMRhRWLzKUNKFlefVbdVkAa3HmVhwxfaunHIyPIuVbKXKNCq39orGi3W6dWGld2SsiAJWhTQjatVyTRb/30hWN0JtvbGjxLA8drWWrWJmRGq+lUi5oFUFkbYUlrFwKJAZcbYBni7f31Eh02Ay+1/rRDK01EkTPywzIoclPM9rlxnJLgQ4IwBety6sFIzEirReK9ecAilqbtJyeY00s2CEMiNRETMjcmpGNCjTAMmVLJV2GQ5GyWF57D5NmYA5W/77D4UoYk2go4aCkfhhQYPXDXQ2JXdfnc1CVkt6v2phMPr3CZ16jVAwEis55QA4X4pUgZSvmpu0HNN7O5r8hltUpomOOKyqThg7LwcODco0QHLmW2q0r0tRskzjULGThpHM0E7qpIkfk8Xv4ZOsiJWVaCw5gneV2uhcN0LBSKwYM/ybvhIiVjU3Cjm8Rlhbb1YvwGJLeklpT3aRZFiVTCdGzTMjCZRp1D4hZik4n0bspFFBvMpIZj4NzaVJDLFUk2wwwko0Gk1L1nlHDQUj8aBke6+aXQZyeI2QeDU+DEZ/alaONKnT4Xe/VTsYSdQS3utVXzPCNv7OJvmFe+LEXjUzI3IEglSmiQu52nu10oswlHCBlhEKRuIhmRRpNFokSnelkUMzQm298SO6OcqgG2EbY0aWMINFTRI9IbY3AF4XAE690lJmvvD3AKCjUd77VtN9lZFUMKLiHpNOMOOzVA9G5Jj6rCAUjMSDOL1X5o4anle5TNNf+L/5UOJTZEX3VQpGYkbOmq1oBV+knhU8I1HzLXa80u3rUgxG/xh4uUWsarqvMhINRtxO/3uGyjTxkZ0uZRq2/+hzci8FI/GQq1BmpOMI4O4UvlZ6rDrgOxlYAN6TeGDFSjwUjMSOnC6sovuqyuJVwN/R0VodX2eZ2h4jDKVcWNs1yIzYEwxGWqshGJ5ZyPAsXuSa3CsGIyqXVRliMEKZkdQnRyHNCNtYsnqpo7I2GPwi1kR1I1SmiR85x3hrMZeGYSsRxLhed3yeBa0aaRZEF1aZgxHWTaNqmcYXyDlbgc6W2H9PmnlVO5OW6sguYNWqTEPdNOkDS2/KnRnRouUuWd0ICVjjR06vEa06aQChxJKI+ZZ0Lo2aKGUJr0WZxmIXWkOB+IJa8hhJHNkErBq5rzJEe4F6XbqwUjASDwHGZzJ5RQDabBTSGTXx0tXqFwOS4VnsyOnCqmWZBkhsnL3aHiMMsUwjdzCi4pA8KYnoRsS2XgpG4iZdBKxZUhdWmQb/yQgFI/FgLxVeTN4j3xRHQJvMSDJeIywrYs0DrLlyrSj9kVNA1qbxxpbICVGrbo50KtMAidnxk+FZ4ogC1vrkhotKRedaYDDour2XgpF4MBglG4GMpZpWLYKR/sL/iWhGxE4ayorEhVTAmuxIAb1kRhIp06gejChgCe9xAV0+B2K10+4sgxqPzwuVaRJHtIR3Cc0GieB2+u3ktQpGAGUGdsoEBSPxkqtAe69YS08RzQgNyEsMdoXldSXveaHFxF4p8VrCS9vX1XyfA8q4sLLAhjP47cLVIieRzAgFIwmTYfVngBMdMie+XySt5lqgY68RCkbiRQnjMy3LNO2HBQ1IPFAnTWKYzP4TYzJXJryk5mvTqkwT5+egqwVwOXy/q3ZrLyvTyGh6xk4umQVC+ltNEpkNxDoASTOSGMmKWKUeI2q/X6TIaS8gMxSMxAvbCORs79XCptma64/Q4xWxsmCEOmniRw4Ra1eL35dGM8+COK+w2InTmqvehFuGEsPytOyMsMdZInM7/cErZUYSI9n2Xq3Fqww57QVkhoKReBHbe2Uq03S2CCcXQP0rxrwEvUYoM5I4crT3sqszSw5gzkp+TYkgFbDGIurTskwgLdMkI0CUooXhGSPeTiamLSHDs8TJTrKjRuu2XoaOvUYoGIkXuY3P2IZiyRU8BNREbO+tjO/3SMCaOHJMztRalQ/4T4iudr8wLxJqD8iTwk7AXlf8JclwsJKPJsGIbw9y1APurujHk+FZ8tiSLdPo4DMLSDKaFIykPnJbwmvZcie298aRGXG2+1OOlBmJHzla67TupAGAjEx/mS8W7YJWhmeAkD3K8GWQ5CrVaDEkj5FVIGQ5gNjeR6JehGbSJEyy82m0toJnUDdNGpHj+0C31iQ+ZE6KVvM6gMTae1kXkSVH/S6CdECONKmW7qtS4hmYp/X4+iyZjc/aNUy7c1x8HTU0rTd5kp1Po5syjX5dWCkYiZfsIsCQAYCXJ7rUMjOSSHuvVLxKKd/4YdmMZNTsWs6lkRKP546WQTcg6aiRKxhhhmdaWXsz3Ug8wQiJVxMmXQSsOnZhpWAkXgyGxAyfwqHlRiG1hI9V2EfTepNDjpqtWKbROjMSh5BSqyF5DLldWLUs0wDxOeCS+2ryZCebGdFJMBLgwqqvjhoKRhKB1V7lMD7TcqPIrQDAAe6O2IVZJF5NDrskM5JoZ4fWhmeMeLxGtNSMAPK7sDIBa7ZWwQjLSsVwQhHn0pBmJGGYn4+jLrHPrVim0TgYAeQdSyEjFIwkgpyZES2vGE1m/wYVq26E2nqTg/X5uztj60IJhdhNo3VmJEbdgqvTHwRodXUuDsuTKTOi1ZA8RiKBIGVGEod91jzO+D+3PC/5zGqsGQEkwQhlRlIfOdt7tb5ijFc3wobkUTCSGFJr6USvTHQjYI3RCZRteiardlbYWQXC/3JkRnheohnRKDMSq+mcu0tieEaZkYTJsAqifSD+Uk1XK+DxtWDrKjOir44aCkYSQTQ+SzIY0cMVo1Q3Egvkvpo8ybiwer0SAWuKlGmkHiNaiZ7lLNN0NgNeXyeCZpqRGDuZpIEgC8iIxEhUxMr0ImabdiaFUuTwOlIACkYSQcyMJKkZYSUaU6Z2V4z5cWRGXJ3+NzANyUucZGq2nU3+E6HWV1lsU+tsEvxnwqHVgDwpcg7LYwGN2SZcMWtBjiQzEmkCdLOkrZe635Ij0fk0emnrZcjhdaQAFIwkQm4c/gqR0IMzYjxeI+wKOCObrrKSIZmaLeukycwXND9aYs0V3gtA5MeiB81CtoyZEa1LNIBwQuEMQmAaaZKs1v4u6YQoYo2zTKOXThqGTif3UjCSCKz26qiLzY45HHrYpOPRjIhtveQxkhTJeI3owX2VwXGxibm19hgB5C3T6OFK15jhv1KP+Nz7srcUjCSPmBmJ83OrFyt4BnXTpBFZBUINFkguO6KHqxaWGWk5JEz3jAR10shDMgKyNp1dZcXSYqq1xwjgz+R1tSR3AQFoOyRPSiw+L6IVPAUjSZPofBo9tfUC/v3HUS+Pi7hMUDCSCBwXX2tdOPRwxWgrFjQrvNfvIRIO1klD4tXkSJfMCBDb50DrjjFAGF3AGYWvmUdIomjtvsqIxfhMD9nXdCE7Tco0UhfWRAf/KQAFI4nCPtzJtPfqwaaZ4/wi1mi6EcqMyEMyLqx6C0bsMXiNsKyJlu9zg0E+F1bxSlcnmZGIzz0r01Bbb9KIFxEJdtPoJRgxGPzZER111FAwkihie28SHTV6uWqJVTfSTB4jspBMmYZtbDadbGzRSgVej6S1V8PMCCBfR40eBKxAjIGgTvaYdEBs7Y03M6IDjVEwOuyooWAkUeQwPtPLRhGr1whlRuSBbQQuh2CIFA96y4xEK9M46gHeI6SFtV6zXB01uinT+J77cMPy3F3+EydZwScPy2y0xWkJr7fMCCDPjCyZoWAkUXKT1Ix4XP4Ti9ZK91i8RtxOf/BEwUhyWGyCRwUQv6JdL+6rjGiW8OzzYS8FDEZ11hQOuVxYtR6Sx4hWpmE/19L5Np1gnzlPl2B8FyttOuumAfwzsigYSQNyknRhbasFwAOGDO2vsGLxGmk5BIAXNjY9fahSFbH+HOdmoJe5NAwWSLfVhVbmM72IluJVhlztvez3tU67S+34Q12pSzVp1IqfPBmZgNkufB1rqcbjBjp8gmm9XEAAuvQaoWAkUXKTLNNIOwwMGr8MsWhGpDbwtLElTyJpUq/HL77UuuTByCoUAmrwoR+LXkqRgHzD8vSmGXE5Ql+p6+m5TxdsklJNLLD3CmfQV3ZKFLDqx2uEgpFEYVeEHY2RrbDDIV616GCjYGWajiPh048kXpWXRNKkjgahBZszaH9VzjAYIgspW3V0QpSjm8bVCTjbAu9PK8xZQssyEPoKl42rIL2IfLCLgFjn07AMSlYv7cuUUmxJuEArRELByOOPP47+/fvDarVi8uTJWL16ddhjn3nmGUybNg35+fnIz8/HjBkzIh6fMlhz/XX/RIzP9HTVYrH7N9ZwIlZRvEoeI7KQyLA8tgHqbWMTO2pCfA709D4Xg5EkfEbYla7B5J++rCWRBMR6eu7TBVHEGmOZRo/iVUCXk3vjDkbefPNNLFy4EHfccQfWrl2LMWPGYObMmairCx0pLl++HJdeeim+/vprrFy5EhUVFTjttNNw6FCSE2+1JsAKO4H2Xr1tFNF0I9RJIy9iZiSONKneOmkYkYSUehiSx5CjtVfqvqqHcmUkB1w9+BilG/FO7hWDEZ1kMhksm+lo0I0La9zByEMPPYT58+dj3rx5GDlyJJ566ilkZWVhyZIlIY9/9dVXce2112Ls2LEYPnw4nn32WXi9XixbtizpxWtOMu29erCClxJNN8LcV2larzwkMsZbb500jFiCET0E3WJrbxLBiNhJo5OTS8TnnoIR2Yl3Po1eMyNZvYTsno5cWOMKRpxOJ9asWYMZM2b478BgwIwZM7By5cqY7qO9vR0ulwsFBeGnvnZ1daGlpSXgny5Jpr1XD1bwUqJ5jUgFrETy2BLJjOisk4YR7oTI8/p6n4vdNI2A15vYfbASj9buqwx7hBIZzaWRH1uiZRqdfWYNBt0Zn8UVjDQ0NMDj8aCkJDBNXFJSgpqa2B7QzTffjPLy8oCAJphFixYhNzdX/FdRodMTIGvvbU6mTKOTjSKS14jH7Q+4qEwjD4nUbFMtM9LZBLg7hK91UabxXQDxHmFtiaCXIXmMcM+9q9O/Vr3sMelAdpqUaQDdWcKr2k1z77334o033sC7774Lq9Ua9rhbb70Vzc3N4r8DB6IMcNMKMTMSp4DV69VXlwEQWTPSWiVs4Eaz/vQKqQp7HruaAVdHbL/DNkC9vQbhrs7Z5yKzAMgI/3lXDZMFsOQIXycqYtWL+ypD6jUihb0Wpkx9tZSmOqI/UKyZEZ1N7JWis44aUzwHFxYWwmg0orY2MLVcW1uL0tLSiL/7wAMP4N5778XSpUsxevToiMdaLBZYLJZ4lqYNiU7uddQDXrfQoqmXE4uoGdknBEtS7xOxRNNHe0+UdMGaKxjIuTuF7EjBgOi/IwpY9ZoZqQ587+hhQF4wWb2ArhZf1mBw/L+vtzkj4nMftAexQDCXDM9khZVpHD5L+GjPrV41I4AkO6sPr5G4zixmsxnjx48PEJ8yMeqUKVPC/t59992Hu+++G5999hkmTJiQ+Gr1Buvfj1fAyq5abCWAMUPeNSVKbh8hOPJ0dRdnNZHHiOxwXPzGQ3ot09hLAXCA1xUoDhUFlDrQizCS7ajRW5mGCaE7GoXSDKNZRz5G6QQr07g7Y5sr1ZYKwYg+MiNxX+YuXLgQzzzzDF588UVs27YNv//97+FwODBv3jwAwJVXXolbb71VPP5f//oXbrvtNixZsgT9+/dHTU0Nampq0NbWJt+j0Ar2Qe9qjm/gmZ46DBjGDH9wFawbIfGqMtji1I206bRMY8zwB0jSkqU4rVdH7/Nkh+Wx8o5egpHMfKEUAwSWycRAkAzPZMWc5feXimYJz/P6m7ItRWdeI3EHI7Nnz8YDDzyA22+/HWPHjsX69evx2WefiaLW/fv3o7raH2k9+eSTcDqduPDCC1FWVib+e+CBB+R7FFphsQMWn/FRPNkRqRW8nmClmmDdiOgxQm29shKPC6vb6Z9xoTdlPhBaSCkOydNRMJKsC6tehuQxOC6014ieHJ7TDdH4LEpG0+nwC7h1mRlJwF5AQeLSjDAWLFiABQsWhLxt+fLlAd9XVlYm8idSh9zeQF2zYHxWPDy239Fr/39+f6Dyu+6ZkWYyPFOEeFxY2RWWwaRPQaK9HMC6QO1Ciw4zI2KZJtHMiM40I4CwjzT+EhQISjQjhLzYioEje6P7c7DPbEYWYM5Wfl3xksqtvUQIEjE+02OZBpC094bLjFCZRlbicWF1SDxG9CgiFi3hpVfnOvIYYSRTpvF6hPlNgH66aQDJ0EVJMMLsBvR2wZMOsCxHtDKN3sTOwYgurPW6cGHV4a6WYiRifKY3jxFGvq+jQ1qm8Xr8gRZlRuQlnjSpqBfRYboXCF2madXh+zyZMk1HkzCoEPB7luiBSCUyPT336YLY3htjZkSPJRpA4sIKXbiwUjCSLEwgllAworPMSChL+NYaoUvCYNKfxiXViSdNqte5NIzgE6Krw59F0NP7JiuJzAj7HWuufrrggO7tva5O/1r1tsekA7HOpxGzmToNRnTmwkrBSLLkxlmm0ZtFthRmfNZSBbi7hK9ZiSant74mxaYD8ajZ9WoFzwgORtj/Gdn6mG7LSEYzore2Xkaw8RkLSjKy9KkvSnVindyr98wIoKv2XgpGkiVe47OOI/qyyJaSXShsYOD93iLN5DGiGEzA2tEodMtEQq8eIwzxc1AVFHCX68t0KzuJMo3ehuQxwgWCenvu0wX2GYzWTaNn91WGjjpqKBhJFqnxGc9HP55tFFm99GGRLYXjJLbwlb7/ffoRCkbkJ6sAMPjS/dE2Nr2Xadim5nIIDqeix4jOsn8skHC1A872+H6XlT70JkhkFzVttYFzpEgvogyxzqdJhcwIlWnSCOkmHMvwLb3qRRjBuhFyX1WOeFxY9WyeBAhmUNY84euWKv2eEC12fwAYr25ELNPoSLwKCFfqnFGYH+Wo0+9zny5IJ/dGugBNhWBE7MSiMk3qY84SBoEBselG9NhhIIVlRlh7L7mvKot4ZRJlM9B7ZgQIFFIy/YKexKuAEACK7b1xlmocOhuSxzAY/UFtS7V/HyKPEWUQLeE7AGcEJ3HRCl5n7xcp8dgLKAwFI3IQT3uv3jMj+cGZETI8U5RYRax6tYKXIhVS6tkBNNGOGr2WaYCgQFDne0yqY7EJwmwgckusmM3Uqc4LkGRGqEyTHrD2XmY0FAk9WmRLETUjvum97DFRMKIMomdBhCsTV4egwwD0nfKVCin1OJeGwcos8XbU6LWbBghMt7cwwzOaS6MY4vTeMB01Xo8keNXxZ9Yehwu0wlAwIge5kk6CaOj9qkWqGXHUCVN8OYN+15vqxJIZYVdfRou+2mSDsafI1XmiLqztOi3TAIFdfXp+7tOF7CgdNe2NAHgAnL+Mr0dYR58OXFgpGJGDeNp79b5RsDJNZzNQs0n4Oqe3vkye0olYBKzSEo2eWzXZe7r5gP/x6DEDmKgLq6gZ0WFmhHUtNf7iD5pIM6IcYntvmDINy5hkFQDGhEbAqUOAC6u2uhEKRuQgN54yjc4FrOZsf1px77fC/1SiUQ5bDKZDrIVQr500DPaerlov2KYbTPpMUbPMhiOOYITnJUPy9BiM+J77g2uE/zMk3U2E/ESbT5MKnTSAz4WV7UEUjKQ+sWZGulr9tX+9+S9IYbqRyu+E/6mTRjliUbOnQicN4H9PdzQK/9vL9DnUTzQ+i6NM42oH3J3C13os0wQPy8vpre8sWqoTbT5NqgQjgGQP0ra9V4c7RQoiFe5F6jtn7Y6WXMHvQK8w3Uj1Bt/3lBlRjICarTv0MXp3X2UElx71WorMSiAYYVkUo0Wf4+BT5blPF6IJWFMqGNGH1wgFI3LAPvjuzsgbnNjuqOOsCODPjLAJpXmUGVGM7ELBsAp8+I1N73NpGNY83zgBH3rzGGEk0torbevVY8Yh+LnOpU4aRcmOUTOSEsFIjMaLCkPBiByYLP43ZyTdiN7FqwwmYmVQZkQ5DEaJGC5MR41YptF5MMJxgSdFveqishPQjLTrWLwKCKMlpGvT63OfLkSbT5NKwUgsujUVoGBELmIxPkuZYKR/4PcUjChLtPkQqWB4xpC+t/WaAWQn7Y4jgh9ELDh07DHCkHYu6X2PSXWiCliZ2FmH+qJg4pkeriAUjMhFTgxeI3q3gmfkSTMjHJknKU20zcCRIpoRICgY0ekJUfR94IWAJBb07L7KkD7fVKZRFvZZdLUDXSEs4VMpM2Knbpr0Ipb23lTJjOT09vee28sAk1nb9aQ7kVxYeT51BKxA4Htbjx4jgOD7wNpeYy3V6Nl9lSHNROl9j0l1zDa/PirU9N5U+szaqUyTXsTS3qt3K3iG0eQPrqhEozyR5kM424SrL0D/AlYgMOun5xNivMPyxDKNnjMjvUN/TcgPx/mzHm0hSjUpVabx7T/tDZq6sFIwIhdMMxJpcm+qZEYAv26EOmmUxx5BM8KusDKyhQFdekcqYNVrNw0Qf0dNu887RY+GZwz2fGdk63tsQLrAsh7BmRGnA3A5hK9ToUyTWaALF1YKRuRCzIyEKdO4JG2/qRCMFAzy/T9Q23X0BGwRhlWlUroX8Hdi6b28x8ot6VSmYc99fj99th+nG+Hm07D3lMkqlHP0ToALq3YiVh2b5qcYYjBSLUy7DXaeZOJVUyaQma/u2hLhuD8C1hxgwtVaryT9ieTCmiruq4ySo4BT7wKKR2q9ksiILqyNsR2v5yF5jH7HASf+Beg3VeuV9AxsYco0YommKHWCwlHnCRkdS45mS6BgRC7sZcJ0W69LSNsxURCjRTJSPRXeoPn9gRl3ar2KnoHowlrXPZBlqny9z6VhcBxw3PVaryI68Q7LS4XWXoMROPFmrVfRc8gOU6Zh36eCXoQx8x9ar4DKNLJhNPlPKqF0I6mkFyHUxVYMgAO87u4ahlTLjKQK8QzL87iAzibh61Q6wRDKEm5yr9jWmyKlVZ1AwYicRDI+E63gKRghgjBm+E9ywe11FIwoQ3YcAlbRi4RLjRIroQ6igDW4TJNCHiM6goIROYnU3kuZESIStjDzIdpoY1OEeMo0LHuSmS+UQggCCD+fJpXaenUEBSNyEsn4TMyMUP8/EYJw7b2UGVEGsZsmhsxIO51ciBBELdPQBUQ8UDAiJ5EyI60SAStBBBOuvTeV5tKkEtIyDc9HPjYVOmkI9WHBhsshdKIwKBhJCApG5IQFGiRgJeIl1HwInpfMpaGNTVZYZsTTJbjcRkLspCmIfBzRs7DYBS8RIDA70pZiHXA6gYIROWFlmuDMiMflT7/r3Qqe0IZQ8yE6mwCPU/ialPnyYs4WPH+A6CJW0X2VMiOEBI4LLWKlzEhCUDAiJ6xM01oNeNz+n7fVAuAFy116gxKhCDUsj11tWXOBDKv6a0p3YtWNpIL7KqENwSJWr1eiMaK9Ph4oGJETW7EQcPDewNo/K9HYy7s7sxIEELpMwzY4yoooQ3aMHTWpMCSP0Ibg+TQdR4T9H6DgNU7ozCgnBqO/DMMCEIA8Rojo2CUCViaopE4aZYl1WB67nco0RDDi5F5fMMJKNJn5gn8QETMUjMiNOL1X0t7bQp00RBRYwOFx+k22Um1IXqoR67A8sZuGBKxEEMHtvaIVPJVo4oWCEbkJ1d5LmREiGiaL392TiZ0dFIwoitjeS2UaIkGC59OQFXzCUDAiN2JmRBqMUFsvEQPBXiOUGVEWlumIVKbheUlmhDQARBBiZsQXhJD7asJQMCI3YmZEWqahYISIAdGF1acVIc2IsojD8iIEI10twiRugE4wRHeCBazU1pswFIzITU6kzAhZwRMRsJcJ/wdnRijlqwyxDMtjt2VkAxmZyq+JSC2ygzMjFIwkCgUjchM8udfrJSt4IjZsQfNpqEyjLLEMy3NQiYaIAHNZdbYCznYq0yQBBSNyk+NzYW2rA9xOYaPzugDOQOl2IjKi10iNEMSyqyx63yhDLGUa0cCKghEiBJYcwGgRvnbUSbKZlBmJFwpG5Ca70Pfm5IWMCMuQ2Eqo75yIjNSFtaMR4D3C93SVpQzsee1qFkY2hIKG5BGRkFrCt9VLLiAomxkvFIzIDcf5yzEthyTuq2XarYlIDaSZESZezepFQaxSWPOEjCUQXjfiICt4IgpSEauDrOAThYIRJWAD85oPUScNETuiC2utPxgh8apyGAxAZpT2XnJfJaLBPqNNBwTtCEDvlwSgYEQJpO29ouEZddIQUWA+I6524PAe388oGFGUaC6s5L5KRIOJWOu2CP8bzYKWhIgLCkaUgGVBmg+RFTwRO+Ys/yZWs1H4n8SryhLNhZXcV4losMxIrS8YyS4SyvVEXFAwogTS9l7KjBDxwIKPahaMUGZEUcT23sbQt1OZhogG+4zWbRP+J71IQlAwogSsvbf5oEQzQgJWIgaYbqRuq/A/BSPKErVMQwJWIgos+HC1B35PxIVJ6wWkJdLMiNP3BqUyDRELLBjxOIX/qUyjLFHLNNTaS0Qh+DNKwUhCUDCiBKwkI1Xo2ykYIWKANjZ1Ecs0Ibpp3F3+7ggSsBLhCM5eUkkvIahMowSZ+UBGlv/7rF5AhlW79RCpA8uMMCgzoiyiC2uIzAgLUDij4ElCEKEIvmCgC4iEoGBECTguULBKJRoiVmwUjKhKdgQBa7tkLo2BtkoiDNZcoZ2XQcFIQtAnTClypcEIddIQMSLNjHAGKg8oTaRheeS+SsQCxwWaE9ooGEkECkaUgnXUAGQFT8SONBjJLgIMRu3W0hNgZZr2wwDPB95Gbb1ErEgDEMqMJAQFI0ohLc1QZoSIFWlZhtp6lYdlPbxuoLM58DZpmYYgIiH93FIwkhAUjChFLmlGiASw2P3iZ5pLozwZVsBsE74O7qihMg0RK9IAhNrAE4KCEaWQlmkoGCFiheP8V1kkXlWHcMZnTEdCZRoiGiyLac0FTObIxxIhoWBEKUjASiQK0xhRmUYdwnmNUJmGiBWWxaRsZsIkZHr2+OOP4/7770dNTQ3GjBmDxx57DJMmTQp57JYtW3D77bdjzZo12LdvHx5++GHccMMNyaw5JF6vF06nU/b7TRhrMWAfIHxt6QV0dmq7HiJ1KDwaaDwA5A4COjuRkZEBo5GErIoRzoXVQcEIESN5FcL/uXThmShxByNvvvkmFi5ciKeeegqTJ0/G4sWLMXPmTOzYsQPFxd2jwvb2dgwcOBAXXXQR/vSnP8my6GCcTif27t0Lr9eryP0nzKnPCf8fqtN2HURqMegKoOJXgMUG7N0LAMjLy0NpaSk4mgYqP9KOGinUTUPEypDTgFPvAgadovVKUpa4g5GHHnoI8+fPx7x58wAATz31FD7++GMsWbIEt9xyS7fjJ06ciIkTJwJAyNuThed5VFdXw2g0oqKiAgYyJyLSCJ7n0d7ejro6IaAtK6M2cdlhXi7hNCOUGSGiYcwAjrte61WkNHEFI06nE2vWrMGtt94q/sxgMGDGjBlYuXKlbIvq6upCV1eX+H1LS0vYY91uN9rb21FeXo6srKywxxFEqpKZmQkAqKurQ3FxMZVs5CY7RGbE6/W7slJ3BEEoTlxphIaGBng8HpSUBKr8S0pKUFNTI9uiFi1ahNzcXPFfRUVF2GM9Hg8AwGwmBTORvrBA2+VyabySNCRUmaazCeA9vtspM0IQSqPLmsatt96K5uZm8d+BAwei/g7V0ol0ht7fChKqtZcFJpYcatUkCBWIq0xTWFgIo9GI2tragJ/X1taitLQ0zG/Fj8VigcVike3+CIIgwhKqm4YMzwhCVeLKjJjNZowfPx7Lli0Tf+b1erFs2TJMmTJF9sURsdO/f38sXrxY62UQROqRFWJyL3mMEISqxN1Ns3DhQsyZMwcTJkzApEmTsHjxYjgcDrG75sorr0Tv3r2xaNEiAILodevWreLXhw4dwvr162Gz2TB48GAZH0pqceKJJ2Ls2LGyBRA//fQTsrOzZbkvguhRsIDD2Qa4OgWLeHJfJQhViTsYmT17Nurr63H77bejpqYGY8eOxWeffSaKWvfv3x/QXltVVYVx48aJ3z/wwAN44IEHMH36dCxfvjz5R5DG8DwPj8cDkyn6y1RUlH7DmeJ5/ASRMNZcwGAShuW1HxaMq8TMCAUjBKEGCQlYFyxYgH379qGrqwurVq3C5MmTxduWL1+OF154Qfy+f//+4Hm+27+eHIjMnTsX33zzDR555BFwHAeO41BZWYnly5eD4zh8+umnGD9+PCwWC77//nvs2bMH5557LkpKSmCz2TBx4kQsXbo04D6DyzQcx+HZZ5/F+eefj6ysLAwZMgQffPBBxHW9/PLLmDBhAux2O0pLS3HZZZeJ/haMLVu24Oyzz0ZOTg7sdjumTZuGPXv2iLcvWbIEo0aNgsViQVlZGRYsWAAAqKysBMdxWL9+vXhsU1MTOI4T3wvJPP6uri7cfPPNqKiogMViweDBg/Hcc8+B53kMHjwYDzzwQMDx69evB8dx2L17d8TnhOgBcJykVOPLiIjuqwXarIkgehi67KZJBp7n0e50a/KP5/mY1vjII49gypQpmD9/Pqqrq1FdXR3QvnzLLbfg3nvvxbZt2zB69Gi0tbXhzDPPxLJly7Bu3TqcfvrpmDVrFvbv3x/x7/z973/HxRdfjI0bN+LMM8/E5ZdfjsbGxrDHu1wu3H333diwYQPee+89VFZWYu7cueLthw4dwgknnACLxYKvvvoKa9aswVVXXQW32w0AePLJJ3HdddfhN7/5DTZt2oQPPvggoVJcIo//yiuvxOuvv45HH30U27Ztw9NPPw2bzQaO43DVVVfh+eefD/gbzz//PE444YQeXSokJLAMCBOuUpmGIFQl7fLfHS4PRt7+uSZ/e+tdM5Fljv6U5ubmwmw2IysrK2QX0l133YVTTz1V/L6goABjxowRv7/77rvx7rvv4oMPPhAzD6GYO3cuLr30UgDAP//5Tzz66KNYvXo1Tj/99JDHX3XVVeLXAwcOxKOPPoqJEyeira0NNpsNjz/+OHJzc/HGG28gIyMDADB06FDxd+655x7ceOONuP56vxMhc9+Nh3gf/86dO/HWW2/hyy+/xIwZM8T1S5+H22+/HatXr8akSZPgcrnw2muvdcuWED0YlgFhIlYSsBKEqqRdZiQdmDBhQsD3bW1tuOmmmzBixAjk5eXBZrNh27ZtUTMjo0ePFr/Ozs5GTk5Ot7KLlDVr1mDWrFno27cv7HY7pk+fDgDi31m/fj2mTZsmBiJS6urqUFVVhVNOSX42Q7yPf/369TAajeJ6gykvL8dZZ52FJUuWAAA+/PBDdHV14aKLLkp6rUSaENzeK7b2UmaEINQg7TIjmRlGbL1rpmZ/Ww6Cu2JuuukmfPnll3jggQcwePBgZGZm4sILL4w6pTg4aOA4LuwwQYfDgZkzZ2LmzJl49dVXUVRUhP3792PmzJni32G25KGIdBsAUdQsLWWFcxON9/FH+9sAcM011+CKK67Aww8/jOeffx6zZ8+m8QGEn25lGhqSRxBqknbBCMdxMZVKtMZsNotW9tFYsWIF5s6di/PPPx+AkCmorKyUdT3bt2/H4cOHce+994r6lZ9//jngmNGjR+PFF1+Ey+XqFujY7Xb0798fy5Ytw0knndTt/lm3T3V1tdhdJRWzRiLa4z/66KPh9XrxzTffiGWaYM4880xkZ2fjySefxGeffYZvv/02pr9N9BBEAevhwP9JwEoQqkBlGo3o378/Vq1ahcrKSjQ0NITNWADAkCFD8M4772D9+vXYsGEDLrvssojHJ0Lfvn1hNpvx2GOP4ZdffsEHH3yAu+++O+CYBQsWoKWlBZdccgl+/vln7Nq1Cy+//DJ27NgBALjzzjvx4IMP4tFHH8WuXbuwdu1aPPbYYwCE7MWxxx4rClO/+eYb/O1vf4tpbdEef//+/TFnzhxcddVVeO+997B3714sX74cb731lniM0WjE3Llzceutt2LIkCFk0kcEIi3TONsBV7vwPZVpCEIVKBjRiJtuuglGoxEjR44USyLheOihh5Cfn4+pU6di1qxZmDlzJo455hhZ11NUVIQXXngBb7/9NkaOHIl77723m8CzV69e+Oqrr9DW1obp06dj/PjxeOaZZ8QsyZw5c7B48WI88cQTGDVqFM4++2zs2rVL/P0lS5bA7XZj/PjxuOGGG3DPPffEtLZYHv+TTz6JCy+8ENdeey2GDx+O+fPnw+FwBBxz9dVXw+l0igZ9BCEidWFlWRGjGbDYtVsTQfQgOD7WflQNaWlpQW5uLpqbm5GTkxNwW2dnJ/bu3YsBAwbAarVqtEIiFfjuu+9wyimn4MCBA90mT+sdep8rzC/fAC+dAxQOAy54GvjPiYC9DLhxu9YrI4iUJtL5W4r+xRUEkSRdXV2or6/HnXfeiYsuuijlAhFCBaRlGge5rxKE2lCZhkh7Xn/9dfTr1w9NTU247777tF4OoUdYmabjCODwtb+TeJUgVIOCESLtmTt3LjweD9asWYPevXtrvRxCj7BghPcCh33jDaitlyBUg4IRgiAIY4YwMA8AGoTuMCrTEIR6UDBCEAQB+LMj9TsDvycIQnEoGCEIggD8mZBGVqahYIQg1IKCEYIgCMCfCfG6A78nCEJxKBghCIIAumdCSDNCEKpBwQhBEATQPfigbhqCUA0KRlKY/v37Y/HixeL3HMfhvffeC3t8ZWUlOI6LeUCd0vdDELoiuCxDZRqCUA1yYE0jqqurkZ+fL+t9zp07F01NTQFBTkVFBaqrq1FYSFeORBoRnAnJJNMzglALCkbSiNLSUlX+jtFoVO1v6Q2XyyUOBiTSDGmZJjMfMNL2SBBqQWUaDfjPf/6D8vJyeL3egJ+fe+65uOqqqwAAe/bswbnnnouSkhLYbDZMnDgRS5cujXi/wWWa1atXY9y4cbBarZgwYQLWrVsXcLzH48HVV1+NAQMGIDMzE8OGDcMjjzwi3n7nnXfixRdfxPvvvw+O48BxHJYvXx6yTPPNN99g0qRJsFgsKCsrwy233AK32y3efuKJJ+KPf/wj/vznP6OgoAClpaW48847Iz6en376CaeeeioKCwuRm5uL6dOnY+3atQHHNDU14be//S1KSkpgtVpx1FFH4aOPPhJvX7FiBU488URkZWUhPz8fM2fOxJEjRwB0L3MBwNixYwPWxXEcnnzySZxzzjnIzs7GP/7xj6jPG2PJkiUYNWqU+JwsWLAAAHDVVVfh7LPPDjjW5XKhuLgYzz33XMTnhFAQaVmGSjQEoSrpF/rzPOBq1+ZvZ2QBHBf1sIsuugh/+MMf8PXXX+OUU04BADQ2NuKzzz7DJ598AgBoa2vDmWeeiX/84x+wWCx46aWXMGvWLOzYsQN9+/aN+jfa2tpw9tln49RTT8Urr7yCvXv34vrrrw84xuv1ok+fPnj77bfRq1cv/PDDD/jNb36DsrIyXHzxxbjpppuwbds2tLS04PnnnwcAFBQUoKqqKuB+Dh06hDPPPBNz587FSy+9hO3bt2P+/PmwWq0BJ/YXX3wRCxcuxKpVq7By5UrMnTsXxx13HE499dSQj6G1tRVz5szBY489Bp7n8eCDD+LMM8/Erl27YLfb4fV6ccYZZ6C1tRWvvPIKBg0ahK1bt8JoNAIA1q9fj1NOOQVXXXUVHnnkEZhMJnz99dfweDxRnz8pd955J+69914sXrwYJpMp6vMGAE8++SQWLlyIe++9F2eccQaam5uxYsUKAMA111yDE044AdXV1SgrKwMAfPTRR2hvb8fs2bPjWhshI9JuGuqkIQhVSb9gxNUO/LNcm7/9lyrAnB31sPz8fJxxxhl47bXXxGDkv//9LwoLC3HSSScBAMaMGYMxY8aIv3P33Xfj3XffxQcffCBeYUfitddeg9frxXPPPQer1YpRo0bh4MGD+P3vfy8ek5GRgb///e/i9wMGDMDKlSvx1ltv4eKLL4bNZkNmZia6uroilmWeeOIJVFRU4N///jc4jsPw4cNRVVWFm2++GbfffjsMBiEBN3r0aNxxxx0AgCFDhuDf//43li1bFjYYOfnkkwO+/89//oO8vDx88803OPvss7F06VKsXr0a27Ztw9ChQwEAAwcOFI+/7777MGHCBDzxxBPiz0aNGhX1uQvmsssuw7x58wJ+Ful5A4B77rkHN954Y0AAOHHiRADA1KlTMWzYMLz88sv485//DAB4/vnncdFFF8Fms8W9PkImKDNCEJpBZRqNuPzyy/G///0PXV1dAIBXX30Vl1xyiXjibmtrw0033YQRI0YgLy8PNpsN27Ztw/79+2O6/23btmH06NGwWq3iz6ZMmdLtuMcffxzjx49HUVERbDYb/vOf/8T8N6R/a8qUKeAkWaHjjjsObW1tOHjwoPiz0aNHB/xeWVkZ6urqwt5vbW0t5s+fjyFDhiA3Nxc5OTloa2sT17d+/Xr06dNHDESCYZmRZJkwYUK3n0V63urq6lBVVRXxb19zzTVitqm2thaffvqpWKIjNMJsA4wW4WtyXyUIVUm/zEhGlpCh0Opvx8isWbPA8zw+/vhjTJw4Ed999x0efvhh8fabbroJX375JR544AEMHjwYmZmZuPDCC+F0OmVb7htvvIGbbroJDz74IKZMmQK73Y77778fq1atku1vSAkWfnIc1003I2XOnDk4fPgwHnnkEfTr1w8WiwVTpkwRn4PMzMyIfy/a7QaDATzPB/zM5XJ1Oy47OzDbFe15i/Z3AeDKK6/ELbfcgpUrV+KHH37AgAEDMG3atKi/RygIxwkdNS2HqExDECqTfsEIx8VUKtEaq9WKCy64AK+++ip2796NYcOG4ZhjjhFvX7FiBebOnYvzzz8fgJApqaysjPn+R4wYgZdffhmdnZ1iduTHH38MOGbFihWYOnUqrr32WvFne/bsCTjGbDZH1ViMGDEC//vf/8DzvJgdWbFiBex2O/r06RPzmoNZsWIFnnjiCZx55pkAgAMHDqChoUG8ffTo0Th48CB27twZMjsyevRoLFu2LKCkIqWoqAjV1dXi9y0tLdi7d29M64r0vNntdvTv3x/Lli0Ty27B9OrVC+eddx6ef/55rFy5slsZiNCIrAJfMEKZEYJQEyrTaMjll1+Ojz/+GEuWLMHll18ecNuQIUPwzjvvYP369diwYQMuu+yyiFmEYC677DJwHIf58+dj69at+OSTT/DAAw90+xs///wzPv/8c+zcuRO33XYbfvrpp4Bj+vfvj40bN2LHjh1oaGgImTm49tprceDAAfzhD3/A9u3b8f777+OOO+7AwoULxbJTIgwZMgQvv/wytm3bhlWrVuHyyy8PyDpMnz4dJ5xwAn71q1/hyy+/xN69e/Hpp5/is88+AwDceuut+Omnn3Dttddi48aN2L59O5588kkxoDn55JPx8ssv47vvvsOmTZswZ84cUfwabV3Rnrc777wTDz74IB599FHs2rULa9euxWOPPRZwzDXXXIMXX3wR27Ztw5w5cxJ+nggZyfWJw3MTD6IJgogfCkY05OSTT0ZBQQF27NiByy67LOC2hx56CPn5+Zg6dSpmzZqFmTNnBmROomGz2fDhhx9i06ZNGDduHP7617/iX//6V8Axv/3tb3HBBRdg9uzZmDx5Mg4fPhxwtQ8A8+fPx7BhwzBhwgQUFRWJHSFSevfujU8++QSrV6/GmDFj8Lvf/Q5XX301/va3v8XxbHTnueeew5EjR3DMMcfgiiuuwB//+EcUFxcHHPO///0PEydOxKWXXoqRI0fiz3/+s5jJGTp0KL744gts2LABkyZNwpQpU/D+++/DZBISgrfeeiumT5+Os88+G2eddRbOO+88DBo0KOq6Ynne5syZg8WLF+OJJ57AqFGjcPbZZ2PXrl0Bx8yYMQNlZWWYOXMmyss1El0TgZx2N3DWg8CwM7VeCUH0KDg+uGiuQ1paWpCbm4vm5mbk5OQE3NbZ2Ym9e/diwIABAWJNgtA7bW1t6N27N55//nlccMEFEY+l9zlBEKlIpPO3lPTTjBCEzvF6vWhoaMCDDz6IvLw8nHPOOVoviSAIQlMoGCEIldm/fz8GDBiAPn364IUXXhDLRgRBED0V2gUJQmX69+/fraWYIAiiJ0MCVoIgCIIgNIWCEYIgCIIgNCVtghFKexPpTDweMwRBEKlGymtGMjIywHEc6uvrUVRUFDAfhSBSHZ7n4XQ6UV9fD4PBALPZrPWSCIIgZCflgxGj0Yg+ffrg4MGDcdmlE0QqkZWVhb59+yblaEsQBKFXUj4YAQS30SFDhoS0KieIVMdoNMJkMlHWjyCItCUtghFA2LBjmStCEARBEIS+oJwvQRAEQRCaQsEIQRAEQRCaQsEIQRAEQRCakhKaEeYh0tLSovFKCIIgCIKIFXbejuYFlhLBSGtrKwCgoqJC45UQBEEQBBEvra2tyM3NDXs7x6eAdanX60VVVRXsdrus7Y0tLS2oqKjAgQMHkJOTI9v96pWe9HjpsaYvPenx0mNNX3rK4+V5Hq2trSgvL4/ok5QSmRGDwYA+ffoodv85OTlp/WYIpic9Xnqs6UtPerz0WNOXnvB4I2VEGCRgJQiCIAhCUygYIQiCIAhCU3p0MGKxWHDHHXfAYrFovRRV6EmPlx5r+tKTHi891vSlpz3eaKSEgJUgCIIgiPSlR2dGCIIgCILQHgpGCIIgCILQFApGCIIgCILQFApGCIIgCILQlLQPRh5//HH0798fVqsVkydPxurVqyMe//bbb2P48OGwWq04+uij8cknn6i00uRYtGgRJk6cCLvdjuLiYpx33nnYsWNHxN954YUXwHFcwD+r1arSihPnzjvv7Lbu4cOHR/ydVH1d+/fv3+2xchyH6667LuTxqfaafvvtt5g1axbKy8vBcRzee++9gNt5nsftt9+OsrIyZGZmYsaMGdi1a1fU+433c68GkR6ry+XCzTffjKOPPhrZ2dkoLy/HlVdeiaqqqoj3mchnQQ2iva5z587ttu7TTz896v3q8XUFoj/eUJ9hjuNw//33h71Pvb62SpHWwcibb76JhQsX4o477sDatWsxZswYzJw5E3V1dSGP/+GHH3DppZfi6quvxrp163DeeefhvPPOw+bNm1Veefx88803uO666/Djjz/iyy+/hMvlwmmnnQaHwxHx93JyclBdXS3+27dvn0orTo5Ro0YFrPv7778Pe2wqv64//fRTwOP88ssvAQAXXXRR2N9JpdfU4XBgzJgxePzxx0Peft999+HRRx/FU089hVWrViE7OxszZ85EZ2dn2PuM93OvFpEea3t7O9auXYvbbrsNa9euxTvvvIMdO3bgnHPOiXq/8XwW1CLa6woAp59+esC6X3/99Yj3qdfXFYj+eKWPs7q6GkuWLAHHcfjVr34V8X71+NoqBp/GTJo0ib/uuuvE7z0eD19eXs4vWrQo5PEXX3wxf9ZZZwX8bPLkyfxvf/tbRdepBHV1dTwA/ptvvgl7zPPPP8/n5uaqtyiZuOOOO/gxY8bEfHw6va7XX389P2jQIN7r9Ya8PVVfU57neQD8u+++K37v9Xr50tJS/v777xd/1tTUxFssFv71118Pez/xfu61IPixhmL16tU8AH7fvn1hj4n3s6AFoR7rnDlz+HPPPTeu+0mF15XnY3ttzz33XP7kk0+OeEwqvLZykraZEafTiTVr1mDGjBnizwwGA2bMmIGVK1eG/J2VK1cGHA8AM2fODHu8nmlubgYAFBQURDyura0N/fr1Q0VFBc4991xs2bJFjeUlza5du1BeXo6BAwfi8ssvx/79+8Memy6vq9PpxCuvvIKrrroq4sDIVH1Ng9m7dy9qamoCXrvc3FxMnjw57GuXyOderzQ3N4PjOOTl5UU8Lp7Pgp5Yvnw5iouLMWzYMPz+97/H4cOHwx6bTq9rbW0tPv74Y1x99dVRj03V1zYR0jYYaWhogMfjQUlJScDPS0pKUFNTE/J3ampq4jper3i9Xtxwww047rjjcNRRR4U9btiwYViyZAnef/99vPLKK/B6vZg6dSoOHjyo4mrjZ/LkyXjhhRfw2Wef4cknn8TevXsxbdo0tLa2hjw+XV7X9957D01NTZg7d27YY1L1NQ0Fe33iee0S+dzrkc7OTtx888249NJLIw5Ri/ezoBdOP/10vPTSS1i2bBn+9a9/4ZtvvsEZZ5wBj8cT8vh0eV0B4MUXX4TdbscFF1wQ8bhUfW0TJSWm9hLxcd1112Hz5s1R64tTpkzBlClTxO+nTp2KESNG4Omnn8bdd9+t9DIT5owzzhC/Hj16NCZPnox+/frhrbfeiulqI1V57rnncMYZZ6C8vDzsMan6mhJ+XC4XLr74YvA8jyeffDLisan6WbjkkkvEr48++miMHj0agwYNwvLly3HKKadouDLlWbJkCS6//PKowvJUfW0TJW0zI4WFhTAajaitrQ34eW1tLUpLS0P+TmlpaVzH65EFCxbgo48+wtdff40+ffrE9bsZGRkYN24cdu/erdDqlCEvLw9Dhw4Nu+50eF337duHpUuX4pprronr91L1NQUgvj7xvHaJfO71BAtE9u3bhy+//DLu0fLRPgt6ZeDAgSgsLAy77lR/XRnfffcdduzYEffnGEjd1zZW0jYYMZvNGD9+PJYtWyb+zOv1YtmyZQFXjlKmTJkScDwAfPnll2GP1xM8z2PBggV499138dVXX2HAgAFx34fH48GmTZtQVlamwAqVo62tDXv27Am77lR+XRnPP/88iouLcdZZZ8X1e6n6mgLAgAEDUFpaGvDatbS0YNWqVWFfu0Q+93qBBSK7du3C0qVL0atXr7jvI9pnQa8cPHgQhw8fDrvuVH5dpTz33HMYP348xowZE/fvpuprGzNaK2iV5I033uAtFgv/wgsv8Fu3buV/85vf8Hl5eXxNTQ3P8zx/xRVX8Lfccot4/IoVK3iTycQ/8MAD/LZt2/g77riDz8jI4Ddt2qTVQ4iZ3//+93xubi6/fPlyvrq6WvzX3t4uHhP8eP/+97/zn3/+Ob9nzx5+zZo1/CWXXMJbrVZ+y5YtWjyEmLnxxhv55cuX83v37uVXrFjBz5gxgy8sLOTr6up4nk+v15Xnha6Bvn378jfffHO321L9NW1tbeXXrVvHr1u3jgfAP/TQQ/y6devEDpJ7772Xz8vL499//31+48aN/LnnnssPGDCA7+joEO/j5JNP5h977DHx+2ife62I9FidTid/zjnn8H369OHXr18f8Bnu6uoS7yP4sUb7LGhFpMfa2trK33TTTfzKlSv5vXv38kuXLuWPOeYYfsiQIXxnZ6d4H6nyuvJ89Pcxz/N8c3Mzn5WVxT/55JMh7yNVXlulSOtghOd5/rHHHuP79u3Lm81mftKkSfyPP/4o3jZ9+nR+zpw5Ace/9dZb/NChQ3mz2cyPGjWK//jjj1VecWIACPnv+eefF48Jfrw33HCD+NyUlJTwZ555Jr927Vr1Fx8ns2fP5svKyniz2cz37t2bnz17Nr97927x9nR6XXme5z///HMeAL9jx45ut6X6a/r111+HfN+yx+T1evnbbruNLykp4S0WC3/KKad0ex769evH33HHHQE/i/S514pIj3Xv3r1hP8Nff/21eB/BjzXaZ0ErIj3W9vZ2/rTTTuOLior4jIwMvl+/fvz8+fO7BRWp8rryfPT3Mc/z/NNPP81nZmbyTU1NIe8jVV5bpeB4nucVTb0QBEEQBEFEIG01IwRBEARBpAYUjBAEQRAEoSkUjBAEQRAEoSkUjBAEQRAEoSkUjBAEQRAEoSkUjBAEQRAEoSkUjBAEQRAEoSkUjBAEQRAEoSkUjBAEQRAEoSkUjBAEQRAEoSkUjBAEQRAEoSkUjBAEQRAEoSn/DxjVivX5nKrrAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#graph for accuracy\n",
    "plt.plot(history.history['accuracy'], label='train accuracy')\n",
    "plt.plot(history.history['val_accuracy'], label='validation accuracy')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:08:06.789151Z",
     "iopub.status.busy": "2024-07-03T15:08:06.788805Z",
     "iopub.status.idle": "2024-07-03T15:08:06.794752Z",
     "shell.execute_reply": "2024-07-03T15:08:06.793774Z",
     "shell.execute_reply.started": "2024-07-03T15:08:06.789124Z"
    }
   },
   "outputs": [],
   "source": [
    "def preprocess_image_for_model(img_path):\n",
    "    image = cv2.imread(img_path)\n",
    "    image = cv2.resize(image, IMG_SIZE)\n",
    "    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)  # Convert BGR to RGB\n",
    "    image = preprocess_input(image)\n",
    "    return image[np.newaxis, ...]\n",
    "# Example function to predict using the model\n",
    "def predict_function(images):\n",
    "    return model.predict(images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:08:09.161839Z",
     "iopub.status.busy": "2024-07-03T15:08:09.161475Z",
     "iopub.status.idle": "2024-07-03T15:08:09.419353Z",
     "shell.execute_reply": "2024-07-03T15:08:09.418336Z",
     "shell.execute_reply.started": "2024-07-03T15:08:09.161810Z"
    }
   },
   "outputs": [],
   "source": [
    "from lime import lime_image\n",
    "from lime.wrappers.scikit_image import SegmentationAlgorithm\n",
    "from skimage.segmentation import mark_boundaries\n",
    "# Initialize LIME explainer\n",
    "explainer = lime_image.LimeImageExplainer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:08:12.956248Z",
     "iopub.status.busy": "2024-07-03T15:08:12.955404Z",
     "iopub.status.idle": "2024-07-03T15:08:45.914271Z",
     "shell.execute_reply": "2024-07-03T15:08:45.912986Z",
     "shell.execute_reply.started": "2024-07-03T15:08:12.956210Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e15be8117945453f809b6f8de3450a51",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 638ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 30ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Example image path for interpretation\n",
    "img_path = '/kaggle/input/faceexpression-dp/dataset/Ahegao/cropped_emotions.16183~ahegao.png'\n",
    "\n",
    "# Preprocess the image for model prediction\n",
    "img = preprocess_image_for_model(img_path)\n",
    "\n",
    "# Generate explanation\n",
    "explanation = explainer.explain_instance(\n",
    "    img[0],  # Pass the image array (without batch dimension)\n",
    "    predict_function,  # Model prediction function\n",
    "    top_labels=5,  # Number of top labels to explain\n",
    "    hide_color=0,  # Color for areas not to be explained (0 for black)\n",
    "    num_samples=1000,  # Number of images to generate for LIME's explanation\n",
    "    segmentation_fn=SegmentationAlgorithm('quickshift', kernel_size=1, max_dist=200, ratio=0.2)\n",
    ")\n",
    "\n",
    "# Show explanation\n",
    "temp, mask = explanation.get_image_and_mask(\n",
    "    explanation.top_labels[0],  # Top label index to explain\n",
    "    positive_only=False,  # If True, only the areas that contribute to the prediction are shown\n",
    "    num_features=5,  # Number of superpixels to include in explanation visualization\n",
    "    hide_rest=False  # If True, superpixels not included in explanation are hidden\n",
    ")\n",
    "\n",
    "# Visualize explanation\n",
    "plt.imshow(mark_boundaries(temp / 2 + 0.5, mask))  # Overlay image and mask\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1st Tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:11:38.270299Z",
     "iopub.status.busy": "2024-07-03T15:11:38.269230Z",
     "iopub.status.idle": "2024-07-03T15:42:52.917460Z",
     "shell.execute_reply": "2024-07-03T15:42:52.916459Z",
     "shell.execute_reply.started": "2024-07-03T15:11:38.270257Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m217s\u001b[0m 542ms/step - accuracy: 0.3052 - loss: 1.8930 - val_accuracy: 0.3424 - val_loss: 1.5576 - learning_rate: 1.0000e-04\n",
      "Epoch 2/50\n",
      "\u001b[1m  1/386\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m24s\u001b[0m 63ms/step - accuracy: 0.3438 - loss: 1.7060"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/contextlib.py:153: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n",
      "  self.gen.throw(typ, value, traceback)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - accuracy: 0.3438 - loss: 1.7060 - val_accuracy: 0.1053 - val_loss: 530.0134 - learning_rate: 1.0000e-04\n",
      "Epoch 3/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 522ms/step - accuracy: 0.4545 - loss: 1.4494 - val_accuracy: 0.3766 - val_loss: 1.5115 - learning_rate: 1.0000e-04\n",
      "Epoch 4/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 159us/step - accuracy: 0.5312 - loss: 1.1819 - val_accuracy: 0.4211 - val_loss: 236.5800 - learning_rate: 1.0000e-04\n",
      "Epoch 5/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m207s\u001b[0m 528ms/step - accuracy: 0.4738 - loss: 1.3519 - val_accuracy: 0.3717 - val_loss: 1.5565 - learning_rate: 1.0000e-04\n",
      "Epoch 6/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 162us/step - accuracy: 0.6562 - loss: 0.9076 - val_accuracy: 0.0526 - val_loss: 33.8467 - learning_rate: 1.0000e-04\n",
      "Epoch 7/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m206s\u001b[0m 523ms/step - accuracy: 0.4918 - loss: 1.2910 - val_accuracy: 0.4183 - val_loss: 1.3737 - learning_rate: 1.0000e-04\n",
      "Epoch 8/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 163us/step - accuracy: 0.5000 - loss: 1.3518 - val_accuracy: 0.3684 - val_loss: 172.2425 - learning_rate: 1.0000e-04\n",
      "Epoch 9/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m216s\u001b[0m 552ms/step - accuracy: 0.5159 - loss: 1.2182 - val_accuracy: 0.3835 - val_loss: 1.5603 - learning_rate: 1.0000e-04\n",
      "Epoch 10/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 166us/step - accuracy: 0.6250 - loss: 1.0040 - val_accuracy: 0.0526 - val_loss: 377.1612 - learning_rate: 1.0000e-04\n",
      "Epoch 11/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 523ms/step - accuracy: 0.5162 - loss: 1.2102 - val_accuracy: 0.4202 - val_loss: 1.4689 - learning_rate: 1.0000e-04\n",
      "Epoch 12/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 170us/step - accuracy: 0.4688 - loss: 1.2609 - val_accuracy: 0.1053 - val_loss: 1167.3357 - learning_rate: 1.0000e-04\n",
      "Epoch 13/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 523ms/step - accuracy: 0.5271 - loss: 1.1944 - val_accuracy: 0.4463 - val_loss: 1.3957 - learning_rate: 2.0000e-05\n",
      "Epoch 14/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 169us/step - accuracy: 0.3750 - loss: 1.6884 - val_accuracy: 0.1053 - val_loss: 353.9627 - learning_rate: 2.0000e-05\n",
      "Epoch 15/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 523ms/step - accuracy: 0.5252 - loss: 1.1702 - val_accuracy: 0.4141 - val_loss: 1.4837 - learning_rate: 2.0000e-05\n",
      "Epoch 16/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 165us/step - accuracy: 0.5625 - loss: 1.1596 - val_accuracy: 0.1053 - val_loss: 479.0490 - learning_rate: 2.0000e-05\n",
      "Epoch 17/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 524ms/step - accuracy: 0.5377 - loss: 1.1734 - val_accuracy: 0.4336 - val_loss: 1.4413 - learning_rate: 2.0000e-05\n",
      "Initial Training time in Minutes:  31.239\n"
     ]
    }
   ],
   "source": [
    "#Load VGG16 model without top layers\n",
    "base_model = VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))\n",
    "\n",
    "# Adding additional layers with Batch Normalization and Dropout\n",
    "x = base_model.output\n",
    "x = GlobalAveragePooling2D()(x)\n",
    "x = Dense(1024, activation='relu')(x)\n",
    "x = BatchNormalization()(x)\n",
    "x = Dropout(0.5)(x)\n",
    "predictions = Dense(6, activation='softmax')(x)\n",
    "\n",
    "model = Model(inputs=base_model.input, outputs=predictions)\n",
    "\n",
    "# Freezing all layers of the base model\n",
    "for layer in base_model.layers:\n",
    "    layer.trainable = False\n",
    "\n",
    "# Compile the model\n",
    "model.compile(optimizer=Adam(learning_rate=0.0001), loss='categorical_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "# Callbacks for Early Stopping, Model Checkpoint, and Learning Rate Scheduler\n",
    "early_stopping = EarlyStopping(monitor='val_loss', patience=10, restore_best_weights=True)\n",
    "model_checkpoint = ModelCheckpoint('best_model.keras', save_best_only=True, monitor='val_loss')\n",
    "reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.2, patience=5, min_lr=1e-6)\n",
    "\n",
    "# Initial training\n",
    "EPOCHS = 50\n",
    "BATCH_SIZE = 32\n",
    "\n",
    "start_time = time.time()\n",
    "history = model.fit(\n",
    "    train_generator,\n",
    "    validation_data=test_generator,\n",
    "    epochs=EPOCHS,\n",
    "    steps_per_epoch=train_generator.samples // BATCH_SIZE,\n",
    "    validation_steps=test_generator.samples // BATCH_SIZE,\n",
    "    callbacks=[early_stopping, model_checkpoint, reduce_lr]\n",
    ")\n",
    "end_time = time.time()\n",
    "print(\"Initial Training time in Minutes: \", round((end_time - start_time) / 60, 3))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:48:21.501898Z",
     "iopub.status.busy": "2024-07-03T15:48:21.501167Z",
     "iopub.status.idle": "2024-07-03T15:48:38.943454Z",
     "shell.execute_reply": "2024-07-03T15:48:38.942512Z",
     "shell.execute_reply.started": "2024-07-03T15:48:21.501864Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m97/97\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 175ms/step - accuracy: 0.3953 - loss: 1.4206\n",
      "Evaluation metrics:  [2.4181013107299805, 0.41766420006752014]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Evaluate the model\n",
    "evaluation = model.evaluate(test_generator)\n",
    "print(\"Evaluation metrics: \", evaluation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:48:38.945533Z",
     "iopub.status.busy": "2024-07-03T15:48:38.945249Z",
     "iopub.status.idle": "2024-07-03T15:48:57.562354Z",
     "shell.execute_reply": "2024-07-03T15:48:57.561404Z",
     "shell.execute_reply.started": "2024-07-03T15:48:38.945509Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m97/97\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 174ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Evalute the model\n",
    "test_generator.reset()\n",
    "predictions = model.predict(test_generator)\n",
    "y_pred = np.argmax(predictions, axis = 1)\n",
    "y_true = test_data['label'].apply(lambda x: train_generator.class_indices[x]).values\n",
    "\n",
    "#auc and confusion matrix \n",
    "auc = roc_auc_score(y_true, predictions, multi_class='ovr')\n",
    "conf_matrix = confusion_matrix(y_true, y_pred)\n",
    "\n",
    "# Plot the heatmap for the confusion matrix\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=test_generator.class_indices, yticklabels=test_generator.class_indices)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()\n",
    "\n",
    "#graph for accuracy\n",
    "plt.plot(history.history['accuracy'], label='train accuracy')\n",
    "plt.plot(history.history['val_accuracy'], label='validation accuracy')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:48:57.563871Z",
     "iopub.status.busy": "2024-07-03T15:48:57.563582Z",
     "iopub.status.idle": "2024-07-03T15:48:57.569401Z",
     "shell.execute_reply": "2024-07-03T15:48:57.568417Z",
     "shell.execute_reply.started": "2024-07-03T15:48:57.563846Z"
    }
   },
   "outputs": [],
   "source": [
    "def preprocess_image_for_model(img_path):\n",
    "    image = cv2.imread(img_path)\n",
    "    image = cv2.resize(image, IMG_SIZE)\n",
    "    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)  # Convert BGR to RGB\n",
    "    image = preprocess_input(image)\n",
    "    return image[np.newaxis, ...]\n",
    "# Example function to predict using the model\n",
    "def predict_function(images):\n",
    "    return model.predict(images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:48:57.571883Z",
     "iopub.status.busy": "2024-07-03T15:48:57.571599Z",
     "iopub.status.idle": "2024-07-03T15:49:30.051014Z",
     "shell.execute_reply": "2024-07-03T15:49:30.049678Z",
     "shell.execute_reply.started": "2024-07-03T15:48:57.571859Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "648f54862edf46b8bc504b89dde473e3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 563ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 31ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 23ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Example image path for interpretation\n",
    "img_path = '/kaggle/input/faceexpression-dp/dataset/Ahegao/cropped_emotions.16183~ahegao.png'\n",
    "\n",
    "# Preprocess the image for model prediction\n",
    "img = preprocess_image_for_model(img_path)\n",
    "\n",
    "# Generate explanation\n",
    "explanation = explainer.explain_instance(\n",
    "    img[0],  # Pass the image array (without batch dimension)\n",
    "    predict_function,  # Model prediction function\n",
    "    top_labels=5,  # Number of top labels to explain\n",
    "    hide_color=0,  # Color for areas not to be explained (0 for black)\n",
    "    num_samples=1000,  # Number of images to generate for LIME's explanation\n",
    "    segmentation_fn=SegmentationAlgorithm('quickshift', kernel_size=1, max_dist=200, ratio=0.2)\n",
    ")\n",
    "\n",
    "# Show explanation\n",
    "temp, mask = explanation.get_image_and_mask(\n",
    "    explanation.top_labels[0],  # Top label index to explain\n",
    "    positive_only=False,  # If True, only the areas that contribute to the prediction are shown\n",
    "    num_features=5,  # Number of superpixels to include in explanation visualization\n",
    "    hide_rest=False  # If True, superpixels not included in explanation are hidden\n",
    ")\n",
    "\n",
    "# Visualize explanation\n",
    "plt.imshow(mark_boundaries(temp / 2 + 0.5, mask))  # Overlay image and mask\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T15:49:30.054126Z",
     "iopub.status.busy": "2024-07-03T15:49:30.052816Z",
     "iopub.status.idle": "2024-07-03T16:58:43.891825Z",
     "shell.execute_reply": "2024-07-03T16:58:43.890849Z",
     "shell.execute_reply.started": "2024-07-03T15:49:30.054075Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m217s\u001b[0m 542ms/step - accuracy: 0.5033 - loss: 1.2377 - val_accuracy: 0.3760 - val_loss: 1.4590 - learning_rate: 1.0000e-05\n",
      "Epoch 2/50\n",
      "\u001b[1m  1/386\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m24s\u001b[0m 62ms/step - accuracy: 0.4688 - loss: 1.5714"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/contextlib.py:153: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n",
      "  self.gen.throw(typ, value, traceback)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step - accuracy: 0.4688 - loss: 1.5714 - val_accuracy: 0.1053 - val_loss: 74.1941 - learning_rate: 1.0000e-05\n",
      "Epoch 3/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m208s\u001b[0m 529ms/step - accuracy: 0.5075 - loss: 1.2338 - val_accuracy: 0.4251 - val_loss: 1.3747 - learning_rate: 1.0000e-05\n",
      "Epoch 4/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 166us/step - accuracy: 0.4375 - loss: 1.3036 - val_accuracy: 0.1579 - val_loss: 60.0159 - learning_rate: 1.0000e-05\n",
      "Epoch 5/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m207s\u001b[0m 527ms/step - accuracy: 0.5130 - loss: 1.2351 - val_accuracy: 0.4339 - val_loss: 1.3716 - learning_rate: 1.0000e-05\n",
      "Epoch 6/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 160us/step - accuracy: 0.4062 - loss: 1.4837 - val_accuracy: 0.2105 - val_loss: 31.8454 - learning_rate: 1.0000e-05\n",
      "Epoch 7/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m208s\u001b[0m 531ms/step - accuracy: 0.5133 - loss: 1.2115 - val_accuracy: 0.4176 - val_loss: 1.3719 - learning_rate: 1.0000e-05\n",
      "Epoch 8/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 160us/step - accuracy: 0.5312 - loss: 1.1183 - val_accuracy: 0.4211 - val_loss: 26.6028 - learning_rate: 1.0000e-05\n",
      "Epoch 9/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m208s\u001b[0m 531ms/step - accuracy: 0.5243 - loss: 1.2098 - val_accuracy: 0.4339 - val_loss: 1.3595 - learning_rate: 1.0000e-05\n",
      "Epoch 10/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 168us/step - accuracy: 0.6562 - loss: 0.9349 - val_accuracy: 0.4211 - val_loss: 59.1521 - learning_rate: 1.0000e-05\n",
      "Epoch 11/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m208s\u001b[0m 531ms/step - accuracy: 0.5248 - loss: 1.2081 - val_accuracy: 0.4144 - val_loss: 1.4024 - learning_rate: 1.0000e-05\n",
      "Epoch 12/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 183us/step - accuracy: 0.5000 - loss: 1.1980 - val_accuracy: 0.1053 - val_loss: 94.6276 - learning_rate: 1.0000e-05\n",
      "Epoch 13/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m210s\u001b[0m 534ms/step - accuracy: 0.5234 - loss: 1.2030 - val_accuracy: 0.3649 - val_loss: 1.5391 - learning_rate: 1.0000e-05\n",
      "Epoch 14/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 187us/step - accuracy: 0.4375 - loss: 1.2420 - val_accuracy: 0.1053 - val_loss: 67.3971 - learning_rate: 1.0000e-05\n",
      "Epoch 15/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m206s\u001b[0m 526ms/step - accuracy: 0.5189 - loss: 1.2118 - val_accuracy: 0.4248 - val_loss: 1.3757 - learning_rate: 2.0000e-06\n",
      "Epoch 16/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 160us/step - accuracy: 0.5625 - loss: 1.3814 - val_accuracy: 0.4211 - val_loss: 32.3950 - learning_rate: 2.0000e-06\n",
      "Epoch 17/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 523ms/step - accuracy: 0.5214 - loss: 1.2001 - val_accuracy: 0.4281 - val_loss: 1.3697 - learning_rate: 2.0000e-06\n",
      "Epoch 18/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 164us/step - accuracy: 0.5938 - loss: 0.8571 - val_accuracy: 0.4211 - val_loss: 41.9356 - learning_rate: 2.0000e-06\n",
      "Epoch 19/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m207s\u001b[0m 526ms/step - accuracy: 0.5198 - loss: 1.2068 - val_accuracy: 0.4346 - val_loss: 1.3583 - learning_rate: 2.0000e-06\n",
      "Epoch 20/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 165us/step - accuracy: 0.6250 - loss: 1.0373 - val_accuracy: 0.4211 - val_loss: 46.4579 - learning_rate: 2.0000e-06\n",
      "Epoch 21/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 522ms/step - accuracy: 0.5190 - loss: 1.2080 - val_accuracy: 0.4320 - val_loss: 1.3647 - learning_rate: 2.0000e-06\n",
      "Epoch 22/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 155us/step - accuracy: 0.5000 - loss: 1.2998 - val_accuracy: 0.2632 - val_loss: 41.0242 - learning_rate: 2.0000e-06\n",
      "Epoch 23/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m204s\u001b[0m 520ms/step - accuracy: 0.5187 - loss: 1.2104 - val_accuracy: 0.4294 - val_loss: 1.3676 - learning_rate: 2.0000e-06\n",
      "Epoch 24/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 154us/step - accuracy: 0.6875 - loss: 0.9534 - val_accuracy: 0.2105 - val_loss: 42.8504 - learning_rate: 2.0000e-06\n",
      "Epoch 25/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 521ms/step - accuracy: 0.5235 - loss: 1.2003 - val_accuracy: 0.3991 - val_loss: 1.4319 - learning_rate: 1.0000e-06\n",
      "Epoch 26/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 170us/step - accuracy: 0.4688 - loss: 1.1590 - val_accuracy: 0.2105 - val_loss: 29.8735 - learning_rate: 1.0000e-06\n",
      "Epoch 27/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m205s\u001b[0m 521ms/step - accuracy: 0.5269 - loss: 1.1976 - val_accuracy: 0.4297 - val_loss: 1.3600 - learning_rate: 1.0000e-06\n",
      "Epoch 28/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 163us/step - accuracy: 0.3750 - loss: 1.5411 - val_accuracy: 0.1579 - val_loss: 41.4417 - learning_rate: 1.0000e-06\n",
      "Epoch 29/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m206s\u001b[0m 524ms/step - accuracy: 0.5241 - loss: 1.2043 - val_accuracy: 0.4430 - val_loss: 1.3516 - learning_rate: 1.0000e-06\n",
      "Epoch 30/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 163us/step - accuracy: 0.5000 - loss: 1.1630 - val_accuracy: 0.2105 - val_loss: 59.2696 - learning_rate: 1.0000e-06\n",
      "Epoch 31/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m203s\u001b[0m 517ms/step - accuracy: 0.5277 - loss: 1.2016 - val_accuracy: 0.4076 - val_loss: 1.4174 - learning_rate: 1.0000e-06\n",
      "Epoch 32/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 172us/step - accuracy: 0.4062 - loss: 1.6957 - val_accuracy: 0.1053 - val_loss: 49.2676 - learning_rate: 1.0000e-06\n",
      "Epoch 33/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m215s\u001b[0m 548ms/step - accuracy: 0.5243 - loss: 1.2051 - val_accuracy: 0.4059 - val_loss: 1.4274 - learning_rate: 1.0000e-06\n",
      "Epoch 34/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 176us/step - accuracy: 0.4375 - loss: 1.3548 - val_accuracy: 0.1579 - val_loss: 34.4509 - learning_rate: 1.0000e-06\n",
      "Epoch 35/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m217s\u001b[0m 552ms/step - accuracy: 0.5283 - loss: 1.1983 - val_accuracy: 0.3799 - val_loss: 1.5165 - learning_rate: 1.0000e-06\n",
      "Epoch 36/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 168us/step - accuracy: 0.5938 - loss: 0.9452 - val_accuracy: 0.1053 - val_loss: 83.8155 - learning_rate: 1.0000e-06\n",
      "Epoch 37/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m204s\u001b[0m 519ms/step - accuracy: 0.5267 - loss: 1.2002 - val_accuracy: 0.3665 - val_loss: 1.5238 - learning_rate: 1.0000e-06\n",
      "Epoch 38/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 158us/step - accuracy: 0.5625 - loss: 1.1451 - val_accuracy: 0.1579 - val_loss: 42.8984 - learning_rate: 1.0000e-06\n",
      "Epoch 39/50\n",
      "\u001b[1m386/386\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m203s\u001b[0m 518ms/step - accuracy: 0.5218 - loss: 1.2092 - val_accuracy: 0.3626 - val_loss: 1.5341 - learning_rate: 1.0000e-06\n",
      "Fine-Tuning Training time in Minutes:  69.23\n"
     ]
    }
   ],
   "source": [
    "model.compile(optimizer=Adam(learning_rate=0.00001), loss='categorical_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "start_time = time.time()\n",
    "history = model.fit(\n",
    "    train_generator,\n",
    "    validation_data=test_generator,\n",
    "    epochs=EPOCHS,\n",
    "    steps_per_epoch=train_generator.samples // BATCH_SIZE,\n",
    "    validation_steps=test_generator.samples // BATCH_SIZE,\n",
    "    callbacks=[early_stopping, model_checkpoint, reduce_lr]\n",
    ")\n",
    "end_time = time.time()\n",
    "print(\"Fine-Tuning Training time in Minutes: \", round((end_time - start_time) / 60, 3))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T16:58:43.893730Z",
     "iopub.status.busy": "2024-07-03T16:58:43.893283Z",
     "iopub.status.idle": "2024-07-03T16:59:01.357238Z",
     "shell.execute_reply": "2024-07-03T16:59:01.356309Z",
     "shell.execute_reply.started": "2024-07-03T16:58:43.893696Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m97/97\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 176ms/step - accuracy: 0.4287 - loss: 1.3881\n",
      "Fine-Tuning Evaluation metrics:  [1.7063316106796265, 0.4416046440601349]\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the fine-tuned model\n",
    "evaluation = model.evaluate(test_generator)\n",
    "print(\"Fine-Tuning Evaluation metrics: \", evaluation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T16:59:01.359123Z",
     "iopub.status.busy": "2024-07-03T16:59:01.358477Z",
     "iopub.status.idle": "2024-07-03T16:59:20.077771Z",
     "shell.execute_reply": "2024-07-03T16:59:20.076847Z",
     "shell.execute_reply.started": "2024-07-03T16:59:01.359088Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m97/97\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 177ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Evalute the model\n",
    "test_generator.reset()\n",
    "predictions = model.predict(test_generator)\n",
    "y_pred = np.argmax(predictions, axis = 1)\n",
    "y_true = test_data['label'].apply(lambda x: train_generator.class_indices[x]).values\n",
    "\n",
    "#auc and confusion matrix \n",
    "auc = roc_auc_score(y_true, predictions, multi_class='ovr')\n",
    "conf_matrix = confusion_matrix(y_true, y_pred)\n",
    "\n",
    "# Plot the heatmap for the confusion matrix\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=test_generator.class_indices, yticklabels=test_generator.class_indices)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('True')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()\n",
    "\n",
    "#graph for accuracy\n",
    "plt.plot(history.history['accuracy'], label='train accuracy')\n",
    "plt.plot(history.history['val_accuracy'], label='validation accuracy')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T16:59:20.079509Z",
     "iopub.status.busy": "2024-07-03T16:59:20.079153Z",
     "iopub.status.idle": "2024-07-03T16:59:20.086070Z",
     "shell.execute_reply": "2024-07-03T16:59:20.085026Z",
     "shell.execute_reply.started": "2024-07-03T16:59:20.079476Z"
    }
   },
   "outputs": [],
   "source": [
    "def preprocess_image_for_model(img_path):\n",
    "    image = cv2.imread(img_path)\n",
    "    image = cv2.resize(image, IMG_SIZE)\n",
    "    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)  # Convert BGR to RGB\n",
    "    image = preprocess_input(image)\n",
    "    return image[np.newaxis, ...]\n",
    "# Example function to predict using the model\n",
    "def predict_function(images):\n",
    "    return model.predict(images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-07-03T16:59:20.087625Z",
     "iopub.status.busy": "2024-07-03T16:59:20.087274Z",
     "iopub.status.idle": "2024-07-03T16:59:52.176983Z",
     "shell.execute_reply": "2024-07-03T16:59:52.175738Z",
     "shell.execute_reply.started": "2024-07-03T16:59:20.087594Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2195e17855dd4f1fb2c7a40bd8041174",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 537ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 21ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Example image path for interpretation\n",
    "img_path = '/kaggle/input/faceexpression-dp/dataset/Ahegao/cropped_emotions.16183~ahegao.png'\n",
    "\n",
    "# Preprocess the image for model prediction\n",
    "img = preprocess_image_for_model(img_path)\n",
    "\n",
    "# Generate explanation\n",
    "explanation = explainer.explain_instance(\n",
    "    img[0],  # Pass the image array (without batch dimension)\n",
    "    predict_function,  # Model prediction function\n",
    "    top_labels=5,  # Number of top labels to explain\n",
    "    hide_color=0,  # Color for areas not to be explained (0 for black)\n",
    "    num_samples=1000,  # Number of images to generate for LIME's explanation\n",
    "    segmentation_fn=SegmentationAlgorithm('quickshift', kernel_size=1, max_dist=200, ratio=0.2)\n",
    ")\n",
    "\n",
    "# Show explanation\n",
    "temp, mask = explanation.get_image_and_mask(\n",
    "    explanation.top_labels[0],  # Top label index to explain\n",
    "    positive_only=False,  # If True, only the areas that contribute to the prediction are shown\n",
    "    num_features=5,  # Number of superpixels to include in explanation visualization\n",
    "    hide_rest=False  # If True, superpixels not included in explanation are hidden\n",
    ")\n",
    "\n",
    "# Visualize explanation\n",
    "plt.imshow(mark_boundaries(temp / 2 + 0.5, mask))  # Overlay image and mask\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kaggle": {
   "accelerator": "gpu",
   "dataSources": [
    {
     "datasetId": 5294920,
     "sourceId": 8804213,
     "sourceType": "datasetVersion"
    }
   ],
   "dockerImageVersionId": 30732,
   "isGpuEnabled": true,
   "isInternetEnabled": true,
   "language": "python",
   "sourceType": "notebook"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}