Face_mask_detection_project.ipynb

{
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  {
   "cell_type": "code",
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   "id": "2698bafc-326e-443f-96ea-991a00909e76",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "391ae861-d2b0-42f3-9c86-a16434f06b5a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from keras.preprocessing import image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8a13babe-9c94-4e73-9eb5-4d0dd8040d10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: opencv-python in c:\\users\\shiva\\anaconda3\\lib\\site-packages (4.10.0.84)\n",
      "Requirement already satisfied: numpy>=1.21.2 in c:\\users\\shiva\\anaconda3\\lib\\site-packages (from opencv-python) (1.24.3)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install opencv-python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4ea2e08c-810a-475a-8ab3-2625ec9a0b8f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4702b0bb-66c1-4187-81c6-b9a414e3e91e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_path = \"C:\\\\Users\\\\shiva\\\\Downloads\\\\archive (5)\\\\images\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "659f254b-444b-4f4b-ae47-aca58aa4951d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "data = []\n",
    "for file in os.listdir(train_path):\n",
    "    img_path = os.path.join(train_path, file)\n",
    "    if \"mask\" in file.lower():\n",
    "        label = 1\n",
    "    else:\n",
    "        label = 0\n",
    "    img = cv2.imread(img_path)\n",
    "    if img is None:\n",
    "        continue\n",
    "    img = cv2.resize(img,(224,224))\n",
    "    \n",
    "    data.append([img, label])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "be65e8c5-bd23-451a-845c-690c2da77a05",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "646"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9c5c3a91-20c3-4523-93fd-6774f9d123bc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "X = []\n",
    "y = []\n",
    "\n",
    "for features,label in data:\n",
    "    X.append(features)\n",
    "    y.append(label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "be93ceda-f564-466b-af6a-ffb6ef647c6a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "646"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "718f4251-3a2d-457e-9530-49cc4fbfec75",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "646"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4b9e83f2-c064-49de-add7-94da067b752c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "72fe4fc8-7ef8-4927-8b5f-b16af08e397d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "X = np.array(X)\n",
    "y = np.array(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "21a467d1-450a-4af2-bf95-c3ab45b8fada",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(646, 224, 224, 3)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "42a0bc0e-3c7b-4978-b522-e298ef5daff5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(646,)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8daa1759-fcc0-4990-a53f-45945a29f124",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "X = X/255"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d98ed468-4da4-4d5e-b653-059d7a62d80a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from  sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f664cec0-a31f-4fcd-b91c-fdffbed60aaf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(516, 224, 224, 3)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5228518d-172e-49e7-ab12-d7d55ef6b106",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(130, 224, 224, 3)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "bcab80de-a0b8-4eda-ac78-953aa3b02681",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from keras.applications.vgg16 import VGG16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cf59d761-dc48-46d3-b1d7-d4242c2004c5",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "vgg = VGG16()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "996a5bf0-1168-40ae-90a3-a0d90abc267c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"vgg16\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"vgg16\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape          </span>┃<span style=\"font-weight: bold\">      Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩\n",
       "│ input_layer (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">1,792</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)     │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ flatten (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25088</span>)         │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4096</span>)          │  <span style=\"color: #00af00; text-decoration-color: #00af00\">102,764,544</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4096</span>)          │   <span style=\"color: #00af00; text-decoration-color: #00af00\">16,781,312</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ predictions (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1000</span>)          │    <span style=\"color: #00af00; text-decoration-color: #00af00\">4,097,000</span> │\n",
       "└───────────────────────────────┴───────────────────────┴──────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m     Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩\n",
       "│ input_layer (\u001b[38;5;33mInputLayer\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m3\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │        \u001b[38;5;34m1,792\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │       \u001b[38;5;34m36,928\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │       \u001b[38;5;34m73,856\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │      \u001b[38;5;34m147,584\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m295,168\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m590,080\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m590,080\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m1,180,160\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m)     │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ flatten (\u001b[38;5;33mFlatten\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25088\u001b[0m)         │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc1 (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4096\u001b[0m)          │  \u001b[38;5;34m102,764,544\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc2 (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4096\u001b[0m)          │   \u001b[38;5;34m16,781,312\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ predictions (\u001b[38;5;33mDense\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1000\u001b[0m)          │    \u001b[38;5;34m4,097,000\u001b[0m │\n",
       "└───────────────────────────────┴───────────────────────┴──────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">138,357,544</span> (527.79 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m138,357,544\u001b[0m (527.79 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">138,357,544</span> (527.79 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m138,357,544\u001b[0m (527.79 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vgg.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b4d56038-fef1-499a-b0c8-e512041377c0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from keras import Sequential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d3fdfbd0-b690-437e-9d6f-ac2d49c3bb5f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "model = Sequential()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "503d4a01-1875-4188-a2d4-9aa014077bad",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for layer in vgg.layers[:-1]:\n",
    "    model.add(layer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f539c078-a077-44ef-bf78-5d6aefbec52b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape          </span>┃<span style=\"font-weight: bold\">      Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩\n",
       "│ block1_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">1,792</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)     │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ flatten (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25088</span>)         │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4096</span>)          │  <span style=\"color: #00af00; text-decoration-color: #00af00\">102,764,544</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4096</span>)          │   <span style=\"color: #00af00; text-decoration-color: #00af00\">16,781,312</span> │\n",
       "└───────────────────────────────┴───────────────────────┴──────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m     Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩\n",
       "│ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │        \u001b[38;5;34m1,792\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │       \u001b[38;5;34m36,928\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │       \u001b[38;5;34m73,856\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │      \u001b[38;5;34m147,584\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m295,168\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m590,080\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m590,080\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m1,180,160\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m)     │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ flatten (\u001b[38;5;33mFlatten\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25088\u001b[0m)         │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc1 (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4096\u001b[0m)          │  \u001b[38;5;34m102,764,544\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc2 (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4096\u001b[0m)          │   \u001b[38;5;34m16,781,312\u001b[0m │\n",
       "└───────────────────────────────┴───────────────────────┴──────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">134,260,544</span> (512.16 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m134,260,544\u001b[0m (512.16 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">134,260,544</span> (512.16 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m134,260,544\u001b[0m (512.16 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "561a990f-db0b-41f0-8bc3-0e60be551358",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for layer in model.layers:\n",
    "    layer.trainable = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c89e2377-5600-4adf-85e7-f688e579c551",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape          </span>┃<span style=\"font-weight: bold\">      Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩\n",
       "│ block1_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">1,792</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)     │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ flatten (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25088</span>)         │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4096</span>)          │  <span style=\"color: #00af00; text-decoration-color: #00af00\">102,764,544</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4096</span>)          │   <span style=\"color: #00af00; text-decoration-color: #00af00\">16,781,312</span> │\n",
       "└───────────────────────────────┴───────────────────────┴──────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m     Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩\n",
       "│ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │        \u001b[38;5;34m1,792\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │       \u001b[38;5;34m36,928\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │       \u001b[38;5;34m73,856\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │      \u001b[38;5;34m147,584\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m295,168\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m590,080\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m590,080\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m1,180,160\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m)     │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ flatten (\u001b[38;5;33mFlatten\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25088\u001b[0m)         │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc1 (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4096\u001b[0m)          │  \u001b[38;5;34m102,764,544\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc2 (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4096\u001b[0m)          │   \u001b[38;5;34m16,781,312\u001b[0m │\n",
       "└───────────────────────────────┴───────────────────────┴──────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">134,260,544</span> (512.16 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m134,260,544\u001b[0m (512.16 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">134,260,544</span> (512.16 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m134,260,544\u001b[0m (512.16 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ae5ad332-7bf8-4d4b-83b8-f0ac570f0a29",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from keras.layers import Dense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "fc0f9882-4ed2-4c2c-9ef2-bd1d08449c04",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "model.add(Dense(1,activation='sigmoid'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b8a174c0-e5ae-4540-a312-b5f1b94f44e5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                  </span>┃<span style=\"font-weight: bold\"> Output Shape          </span>┃<span style=\"font-weight: bold\">      Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩\n",
       "│ block1_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │        <span style=\"color: #00af00; text-decoration-color: #00af00\">1,792</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">56</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │      <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">28</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">14</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)   │    <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_pool (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)     │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ flatten (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25088</span>)         │            <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4096</span>)          │  <span style=\"color: #00af00; text-decoration-color: #00af00\">102,764,544</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4096</span>)          │   <span style=\"color: #00af00; text-decoration-color: #00af00\">16,781,312</span> │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)             │        <span style=\"color: #00af00; text-decoration-color: #00af00\">4,097</span> │\n",
       "└───────────────────────────────┴───────────────────────┴──────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                 \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m     Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩\n",
       "│ block1_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │        \u001b[38;5;34m1,792\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m224\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │       \u001b[38;5;34m36,928\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block1_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │       \u001b[38;5;34m73,856\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m112\u001b[0m, \u001b[38;5;34m128\u001b[0m) │      \u001b[38;5;34m147,584\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block2_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m128\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m295,168\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m590,080\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m56\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │      \u001b[38;5;34m590,080\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block3_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m256\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m1,180,160\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m28\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block4_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv1 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv2 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_conv3 (\u001b[38;5;33mConv2D\u001b[0m)         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m512\u001b[0m)   │    \u001b[38;5;34m2,359,808\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ block5_pool (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m512\u001b[0m)     │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ flatten (\u001b[38;5;33mFlatten\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25088\u001b[0m)         │            \u001b[38;5;34m0\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc1 (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4096\u001b[0m)          │  \u001b[38;5;34m102,764,544\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ fc2 (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4096\u001b[0m)          │   \u001b[38;5;34m16,781,312\u001b[0m │\n",
       "├───────────────────────────────┼───────────────────────┼──────────────┤\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)             │        \u001b[38;5;34m4,097\u001b[0m │\n",
       "└───────────────────────────────┴───────────────────────┴──────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">134,264,641</span> (512.18 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m134,264,641\u001b[0m (512.18 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">4,097</span> (16.00 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m4,097\u001b[0m (16.00 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">134,260,544</span> (512.16 MB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m134,260,544\u001b[0m (512.16 MB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5e34162f-ad2e-40a8-a8ba-f01211185b91",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "model.compile(optimizer='Adam',loss='binary_crossentropy',metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "d0e8447f-67dc-4bc3-9fae-a6bf6aa826c8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m86s\u001b[0m 5s/step - accuracy: 0.8053 - loss: 0.3925 - val_accuracy: 1.0000 - val_loss: 4.9279e-06\n",
      "Epoch 2/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m95s\u001b[0m 6s/step - accuracy: 1.0000 - loss: 2.5701e-06 - val_accuracy: 1.0000 - val_loss: 5.7088e-07\n",
      "Epoch 3/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m100s\u001b[0m 6s/step - accuracy: 1.0000 - loss: 4.6752e-07 - val_accuracy: 1.0000 - val_loss: 3.6865e-07\n",
      "Epoch 4/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m103s\u001b[0m 6s/step - accuracy: 1.0000 - loss: 3.6309e-07 - val_accuracy: 1.0000 - val_loss: 3.3819e-07\n",
      "Epoch 5/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m104s\u001b[0m 6s/step - accuracy: 1.0000 - loss: 3.3359e-07 - val_accuracy: 1.0000 - val_loss: 3.3266e-07\n",
      "Epoch 6/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m105s\u001b[0m 6s/step - accuracy: 1.0000 - loss: 3.1425e-07 - val_accuracy: 1.0000 - val_loss: 3.3161e-07\n",
      "Epoch 7/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m106s\u001b[0m 6s/step - accuracy: 1.0000 - loss: 3.1339e-07 - val_accuracy: 1.0000 - val_loss: 3.3139e-07\n",
      "Epoch 8/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m106s\u001b[0m 6s/step - accuracy: 1.0000 - loss: 3.1635e-07 - val_accuracy: 1.0000 - val_loss: 3.3131e-07\n",
      "Epoch 9/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m107s\u001b[0m 6s/step - accuracy: 1.0000 - loss: 3.1775e-07 - val_accuracy: 1.0000 - val_loss: 3.3126e-07\n",
      "Epoch 10/10\n",
      "\u001b[1m17/17\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m106s\u001b[0m 6s/step - accuracy: 1.0000 - loss: 3.2273e-07 - val_accuracy: 1.0000 - val_loss: 3.3121e-07\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.src.callbacks.history.History at 0x1c2a166e490>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train,y_train,epochs=10,validation_data=(X_test,y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2e6be8f8-32e1-447e-bfdc-ea2f415bb5b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def detect_face_mask(img):\n",
    "    \n",
    "    img_resized = cv2.resize(img, (224, 224))\n",
    "    y_pred = model.predict(img_resized.reshape(1, 224, 224, 3))\n",
    "    \n",
    "    return y_pred[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "7c5bc6dd-259e-4208-84a2-2a5eced8e98c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_label(img,text,pos,bg_color):\n",
    "    text_size, baseline = cv2.getTextSize(text,cv2.FONT_HERSHEY_SIMPLEX,1,cv2.FILLED)\n",
    "    text_width, text_height = text_size\n",
    "    \n",
    "    end_x = pos[0] + text_width + 10\n",
    "    end_y = pos[1] + text_height + baseline + 10\n",
    "    \n",
    "    cv2.rectangle(img,pos,(end_x,end_y),bg_color,cv2.FILLED)\n",
    "    cv2.putText(img,text,(pos[0] + 5, end_y - 5),cv2.FONT_HERSHEY_SIMPLEX,1,(0,0,0),2,cv2.LINE_AA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "af416ecd-a431-495a-84af-0afb8aa941d3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import cv2\n",
    "cap = cv2.VideoCapture(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f9c10e10-1bac-478e-be93-0c3ab80a8254",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 399ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 505ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 412ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 376ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 375ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 358ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 359ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 383ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 377ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 371ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 372ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 363ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 362ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 364ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 380ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 377ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 386ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 378ms/step\n",
      "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 378ms/step\n"
     ]
    }
   ],
   "source": [
    "while True:\n",
    "    ret, frame = cap.read()\n",
    "   \n",
    "    frame = cv2.resize(frame,(640, 480))\n",
    "    \n",
    "    y_pred = detect_face_mask(frame)\n",
    "    \n",
    "    if y_pred == 0:\n",
    "        draw_label(frame,\"Mask\",(10,70),(0,255,0))\n",
    "    else:\n",
    "        draw_label(frame,\"No Mask\",(10,70),(0,0,255))\n",
    "    \n",
    "    draw_label(frame,\"Face mask detection\",(10,20),(255,0,0))\n",
    "    \n",
    "    cv2.imshow(\"window\",frame)\n",
    "    \n",
    "    if cv2.waitKey(1) & 0xFF == ord('x'):\n",
    "        break\n",
    "\n",
    "cv2.destroyAllWindows()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0411eab2-4213-45f4-8774-a53fae1b8807",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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