Unet5.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# U-net Model with fig-size 64*64 and the traning plots"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Import libraries here:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "4AkhoH7ZhbFd"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import tensorflow as tf\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import os\n",
        "import cv2\n",
        "\n",
        "from tensorflow.keras import layers\n",
        "from sklearn.model_selection import train_test_split\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Preprocessing\n",
        "In this section, I will resize images and normalize them using cv2 library and "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Resizing"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "read images and resize them: size = (64, 64, 3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "P6YGET-PhbFf"
      },
      "outputs": [],
      "source": [
        "def read_images_from_folder_and_resizing(img_folder_path, mask_folder_path):\n",
        "    images = []\n",
        "    masks  = []\n",
        "    img_paths  = []\n",
        "    mask_paths = []\n",
        "    for image_name in sorted(os.listdir(img_folder_path)):\n",
        "        image_path = os.path.join(img_folder_path, image_name)\n",
        "        img_paths.append(image_path)\n",
        "\n",
        "    for mask_name in sorted(os.listdir(mask_folder_path)):\n",
        "        mask_path = os.path.join(mask_folder_path, mask_name)\n",
        "        mask_paths.append(mask_path)\n",
        "\n",
        "    for img_path, mask_path in zip(img_paths, mask_paths):\n",
        "        img  = cv2.imread(img_path)\n",
        "        mask = cv2.imread(mask_path, cv2.IMREAD_GRAYSCALE)\n",
        "\n",
        "        desired_size = (64, 64)\n",
        "        img  = cv2.resize(img, desired_size)\n",
        "        mask = cv2.resize(mask, desired_size)\n",
        "\n",
        "        images.append(img)\n",
        "        masks.append(mask)\n",
        "    return images, masks, img_paths, mask_paths\n",
        "\n",
        "\n",
        "\n",
        "images_folder_path = 'Kvasir-SEG/images'\n",
        "masks_folder_path  = 'Kvasir-SEG/masks'\n",
        "\n",
        "images, masks, img_p, mask_p = read_images_from_folder_and_resizing(images_folder_path, masks_folder_path)\n",
        "images = np.array(images)\n",
        "masks  = np.array(masks)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Normalizing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "JRJSfae1bE1t"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Max pixel value (mask): 1.0\n",
            "Min pixel value (mask): 0.0\n"
          ]
        }
      ],
      "source": [
        "images = images / 255.\n",
        "masks  = masks / 255.\n",
        "\n",
        "print(\"Max pixel value (mask):\", np.max(images))\n",
        "print(\"Min pixel value (mask):\", np.min(masks))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Display an instance of normalized images and its mask"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "S8GG3Aq6hbFf",
        "outputId": "21b0d00d-ce56-4027-b78b-128f6fa94b11"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x500 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(10, 5))\n",
        "\n",
        "# Display the first image in dataset\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.imshow(images[2])\n",
        "plt.title('Image')\n",
        "\n",
        "# Display the first mask\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.imshow(masks[2], cmap='gray')\n",
        "plt.title('Mask')\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Spliting data into train, validation, and test\n",
        "In this section, i splited data into train, test, and validation with ration 0.8, 0.1, 0.1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "hfN-VSMqhbFf"
      },
      "outputs": [],
      "source": [
        "def split_data(images, masks, split=0.1):\n",
        "    total_size = len(images)\n",
        "    test_size  = int(split * total_size)\n",
        "    valid_size = int(split * total_size)\n",
        "\n",
        "    X_train, X_valid = train_test_split(images, test_size=valid_size, random_state=42)\n",
        "    y_train, y_valid = train_test_split(masks, test_size=valid_size, random_state=42)\n",
        "\n",
        "    X_train, X_test = train_test_split(X_train, test_size=test_size, random_state=42)\n",
        "    y_train, y_test = train_test_split(y_train, test_size=test_size, random_state=42)\n",
        "    return (X_train, y_train), (X_valid, y_valid), (X_test, y_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "D5LJISo2hbFg",
        "outputId": "9dafb5b8-966e-4539-f38b-92f10a92fcb2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "train set size: 800\n",
            "valid set size: 100\n",
            "test set size:  100\n"
          ]
        }
      ],
      "source": [
        "(X_train, y_train), (X_valid, y_valid), (X_test, y_test) = split_data(images, masks)\n",
        "\n",
        "print(f\"train set size: {len(X_train)}\\nvalid set size: {len(X_valid)}\\ntest set size:  {len(X_test)}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KcHo5XNVhbFg"
      },
      "source": [
        "## Construct U-net model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "In this section, I constructed a U-net model which has 10 layers, 4 down-sampling, 1 buttleneck, 4 upsampling, and an output."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "0ayktZaPhbFh"
      },
      "outputs": [],
      "source": [
        "from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, Dropout, Concatenate, UpSampling2D, Conv2DTranspose, BatchNormalization, Dropout\n",
        "from tensorflow.keras.models import Model\n",
        "\n",
        "def Unet(input_shape):\n",
        "    \n",
        "    # Encoder\n",
        "    inputs = Input(input_shape)\n",
        "\n",
        "    layer1 = Conv2D(16, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(inputs)\n",
        "    layer1 = Conv2D(16, [3, 3], activation='relu', kernel_initializer='he_normal', padding='same')(layer1)\n",
        "    pool1  = MaxPooling2D(pool_size=(2, 2))(layer1)\n",
        "\n",
        "    layer2 = Conv2D(32, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(pool1)\n",
        "    layer2 = Conv2D(32, [3, 3], activation='relu', kernel_initializer='he_normal', padding='same')(layer2)\n",
        "    pool2  = MaxPooling2D(pool_size=(2, 2))(layer2)\n",
        "\n",
        "    layer3 = Conv2D(64, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(pool2)\n",
        "    layer3 = Conv2D(64, [3, 3], activation='relu', kernel_initializer='he_normal', padding='same')(layer3)\n",
        "    pool3  = MaxPooling2D(pool_size=(2, 2))(layer3)\n",
        "\n",
        "    layer4 = Conv2D(128, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(pool3)\n",
        "    layer4 = Conv2D(128, [3, 3], activation='relu', kernel_initializer='he_normal', padding='same')(layer4)\n",
        "    pool4  = MaxPooling2D(pool_size=(2, 2))(layer4)\n",
        "\n",
        "    # Buttleneck\n",
        "    layer5 = Conv2D(256, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(pool4)\n",
        "    layer5 = Dropout(0.3)(layer5)\n",
        "    layer5 = Conv2D(256, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(layer5)\n",
        "\n",
        "    # Decoder\n",
        "    upsam1 = Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same')(layer5)\n",
        "    upsam1 = Concatenate()([upsam1, layer4])\n",
        "    layer6 = Conv2D(128, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(upsam1)\n",
        "\n",
        "    upsam2 = Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same')(layer6)\n",
        "    upsam2 = Concatenate()([upsam2, layer3])\n",
        "    layer7 = Conv2D(64, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(upsam2)\n",
        "\n",
        "    upsam3 = Conv2DTranspose(32, (2, 2), strides=(2, 2), padding='same')(layer7)\n",
        "    upsam3 = Concatenate()([upsam3, layer2])\n",
        "    layer8 = Conv2D(32, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(upsam3)\n",
        "\n",
        "    upsam4 = Conv2DTranspose(16, (2, 2), strides=(2, 2), padding='same')(layer8)\n",
        "    upsam4 = Concatenate()([upsam4, layer1])\n",
        "    layer9 = Conv2D(16, (3, 3), activation='relu', kernel_initializer='he_normal', padding='same')(upsam4)\n",
        "\n",
        "    # Output\n",
        "    layer10= Conv2D(1, (1, 1), activation='sigmoid')(layer9)\n",
        "\n",
        "    model = Model(inputs=inputs, outputs=layer10)\n",
        "\n",
        "    return model\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now, it's time to take a summary of what we made!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "78uqOe2hhbFh",
        "outputId": "9b8c3660-a9d6-4bd8-b3bd-09d34c2b4a76"
      },
      "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: \"functional_1\"</span>\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1mModel: \"functional_1\"\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>┃<span style=\"font-weight: bold\"> Connected to         </span>┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│ input_layer         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ -                    │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │                   │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d (<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\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>,    │     <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span> │ input_layer[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
              "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_1 (<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\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">2,320</span> │ conv2d[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]         │\n",
              "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ max_pooling2d       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_2 (<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\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">4,640</span> │ max_pooling2d[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
              "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_3 (<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\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">9,248</span> │ conv2d_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ max_pooling2d_1     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_4 (<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\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>,    │  <span style=\"color: #00af00; text-decoration-color: #00af00\">18,496</span> │ max_pooling2d_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
              "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_5 (<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\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>,    │  <span style=\"color: #00af00; text-decoration-color: #00af00\">36,928</span> │ conv2d_4[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ max_pooling2d_2     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)  │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │                   │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_6 (<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\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │  <span style=\"color: #00af00; text-decoration-color: #00af00\">73,856</span> │ max_pooling2d_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_7 (<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\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">147,584</span> │ conv2d_6[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ max_pooling2d_3     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)      │                   │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_8 (<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\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │ max_pooling2d_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_9 (<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\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">590,080</span> │ dropout[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]        │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_transpose    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">131,200</span> │ conv2d_9[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2DTranspose</span>)   │                   │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ concatenate         │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>) │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_transpose[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │                   │         │ conv2d_7[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_10 (<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\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">295,040</span> │ concatenate[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]    │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_transpose_1  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>,    │  <span style=\"color: #00af00; text-decoration-color: #00af00\">32,832</span> │ conv2d_10[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2DTranspose</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ concatenate_1       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_transpose_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)              │         │ conv2d_5[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_11 (<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\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>,    │  <span style=\"color: #00af00; text-decoration-color: #00af00\">73,792</span> │ concatenate_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
              "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_transpose_2  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">8,224</span> │ conv2d_11[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2DTranspose</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ concatenate_2       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_transpose_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)               │         │ conv2d_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_12 (<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\">32</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>,    │  <span style=\"color: #00af00; text-decoration-color: #00af00\">18,464</span> │ concatenate_2[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
              "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_transpose_3  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">2,064</span> │ conv2d_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]      │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2DTranspose</span>)   │ <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ concatenate_3       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>,    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ conv2d_transpose_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
              "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>)       │ <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)               │         │ conv2d_1[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_13 (<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\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>,    │   <span style=\"color: #00af00; text-decoration-color: #00af00\">4,624</span> │ concatenate_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]  │\n",
              "│                     │ <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_14 (<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\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>) │      <span style=\"color: #00af00; text-decoration-color: #00af00\">17</span> │ conv2d_13[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</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[1mParam #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to        \u001b[0m\u001b[1m \u001b[0m┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩\n",
              "│ input_layer         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m3\u001b[0m) │       \u001b[38;5;34m0\u001b[0m │ -                    │\n",
              "│ (\u001b[38;5;33mInputLayer\u001b[0m)        │                   │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d (\u001b[38;5;33mConv2D\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m,    │     \u001b[38;5;34m448\u001b[0m │ input_layer[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
              "│                     │ \u001b[38;5;34m16\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m,    │   \u001b[38;5;34m2,320\u001b[0m │ conv2d[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]         │\n",
              "│                     │ \u001b[38;5;34m16\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ max_pooling2d       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m,    │       \u001b[38;5;34m0\u001b[0m │ conv2d_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ \u001b[38;5;34m16\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_2 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m,    │   \u001b[38;5;34m4,640\u001b[0m │ max_pooling2d[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
              "│                     │ \u001b[38;5;34m32\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m,    │   \u001b[38;5;34m9,248\u001b[0m │ conv2d_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "│                     │ \u001b[38;5;34m32\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ max_pooling2d_1     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m,    │       \u001b[38;5;34m0\u001b[0m │ conv2d_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │ \u001b[38;5;34m32\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_4 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m,    │  \u001b[38;5;34m18,496\u001b[0m │ max_pooling2d_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
              "│                     │ \u001b[38;5;34m64\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_5 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m,    │  \u001b[38;5;34m36,928\u001b[0m │ conv2d_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "│                     │ \u001b[38;5;34m64\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ max_pooling2d_2     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m64\u001b[0m)  │       \u001b[38;5;34m0\u001b[0m │ conv2d_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │                   │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_6 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m) │  \u001b[38;5;34m73,856\u001b[0m │ max_pooling2d_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_7 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m147,584\u001b[0m │ conv2d_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ max_pooling2d_3     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m128\u001b[0m) │       \u001b[38;5;34m0\u001b[0m │ conv2d_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "│ (\u001b[38;5;33mMaxPooling2D\u001b[0m)      │                   │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_8 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m295,168\u001b[0m │ max_pooling2d_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ dropout (\u001b[38;5;33mDropout\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m256\u001b[0m) │       \u001b[38;5;34m0\u001b[0m │ conv2d_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_9 (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m590,080\u001b[0m │ dropout[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]        │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_transpose    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m131,200\u001b[0m │ conv2d_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "│ (\u001b[38;5;33mConv2DTranspose\u001b[0m)   │                   │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ concatenate         │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m256\u001b[0m) │       \u001b[38;5;34m0\u001b[0m │ conv2d_transpose[\u001b[38;5;34m0\u001b[0m]… │\n",
              "│ (\u001b[38;5;33mConcatenate\u001b[0m)       │                   │         │ conv2d_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_10 (\u001b[38;5;33mConv2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m295,040\u001b[0m │ concatenate[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]    │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_transpose_1  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m,    │  \u001b[38;5;34m32,832\u001b[0m │ conv2d_10[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n",
              "│ (\u001b[38;5;33mConv2DTranspose\u001b[0m)   │ \u001b[38;5;34m64\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ concatenate_1       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m,    │       \u001b[38;5;34m0\u001b[0m │ conv2d_transpose_1[\u001b[38;5;34m…\u001b[0m │\n",
              "│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m128\u001b[0m)              │         │ conv2d_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_11 (\u001b[38;5;33mConv2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m,    │  \u001b[38;5;34m73,792\u001b[0m │ concatenate_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
              "│                     │ \u001b[38;5;34m64\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_transpose_2  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m,    │   \u001b[38;5;34m8,224\u001b[0m │ conv2d_11[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n",
              "│ (\u001b[38;5;33mConv2DTranspose\u001b[0m)   │ \u001b[38;5;34m32\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ concatenate_2       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m,    │       \u001b[38;5;34m0\u001b[0m │ conv2d_transpose_2[\u001b[38;5;34m…\u001b[0m │\n",
              "│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m64\u001b[0m)               │         │ conv2d_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_12 (\u001b[38;5;33mConv2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m,    │  \u001b[38;5;34m18,464\u001b[0m │ concatenate_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
              "│                     │ \u001b[38;5;34m32\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_transpose_3  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m,    │   \u001b[38;5;34m2,064\u001b[0m │ conv2d_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]      │\n",
              "│ (\u001b[38;5;33mConv2DTranspose\u001b[0m)   │ \u001b[38;5;34m16\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ concatenate_3       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m,    │       \u001b[38;5;34m0\u001b[0m │ conv2d_transpose_3[\u001b[38;5;34m…\u001b[0m │\n",
              "│ (\u001b[38;5;33mConcatenate\u001b[0m)       │ \u001b[38;5;34m32\u001b[0m)               │         │ conv2d_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]       │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_13 (\u001b[38;5;33mConv2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m,    │   \u001b[38;5;34m4,624\u001b[0m │ concatenate_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m]  │\n",
              "│                     │ \u001b[38;5;34m16\u001b[0m)               │         │                      │\n",
              "├─────────────────────┼───────────────────┼─────────┼──────────────────────┤\n",
              "│ conv2d_14 (\u001b[38;5;33mConv2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m64\u001b[0m, \u001b[38;5;34m1\u001b[0m) │      \u001b[38;5;34m17\u001b[0m │ conv2d_13[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\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\">1,745,025</span> (6.66 MB)\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,745,025\u001b[0m (6.66 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\">1,745,025</span> (6.66 MB)\n",
              "</pre>\n"
            ],
            "text/plain": [
              "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,745,025\u001b[0m (6.66 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 = Unet((64, 64, 3))\n",
        "model.summary()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "As it is obvious, in the model we construcete, there are 1,745,025 parameters which our model will lean them all during training time."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Define functions for metrics Dice and IoU\n",
        "As the shape of my model output is not same as what libraries get to compute Dice and IoU, we define this functions by myself."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [],
      "source": [
        "from tensorflow.keras import backend as K\n",
        "\n",
        "def dice_coef(y_true, y_pred, smooth=100):\n",
        "    y_true_flatten = K.flatten(y_true)\n",
        "    y_pred_flatten = K.flatten(y_pred)\n",
        "\n",
        "    intersection = K.sum(y_true_flatten * y_pred_flatten)\n",
        "    union = K.sum(y_true_flatten) + K.sum(y_pred_flatten)\n",
        "    return (2 * intersection + smooth) / (union + smooth)\n",
        "\n",
        "def dice_loss(y_true, y_pred, smooth=100):\n",
        "    return -dice_coef(y_true, y_pred, smooth)\n",
        "\n",
        "\n",
        "def iou_coef(y_true, y_pred, smooth=100):\n",
        "    y_true = K.expand_dims(y_true, axis=-1)\n",
        "    \n",
        "    intersection = K.sum(y_true * y_pred)\n",
        "    sum = K.sum(y_true + y_pred)\n",
        "    iou = (intersection + smooth) / (sum - intersection + smooth)\n",
        "    \n",
        "    return iou\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Training and Validation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Compile the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "tpzQr4ZphbFh"
      },
      "outputs": [],
      "source": [
        "model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-3),\n",
        "              loss=tf.keras.losses.BinaryCrossentropy(),\n",
        "              metrics=['accuracy', iou_coef, dice_coef])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Fit the model with epochs=25 and batch_size=32"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/25\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 403ms/step - accuracy: 0.6200 - dice_coef: 0.2048 - iou_coef: 0.1161 - loss: 0.6035 - val_accuracy: 0.8304 - val_dice_coef: 0.2593 - val_iou_coef: 0.1525 - val_loss: 0.3806\n",
            "Epoch 2/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 456ms/step - accuracy: 0.8384 - dice_coef: 0.2705 - iou_coef: 0.1577 - loss: 0.3686 - val_accuracy: 0.8304 - val_dice_coef: 0.2861 - val_iou_coef: 0.1712 - val_loss: 0.3564\n",
            "Epoch 3/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 491ms/step - accuracy: 0.8424 - dice_coef: 0.2902 - iou_coef: 0.1711 - loss: 0.3448 - val_accuracy: 0.8304 - val_dice_coef: 0.2937 - val_iou_coef: 0.1757 - val_loss: 0.3684\n",
            "Epoch 4/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 423ms/step - accuracy: 0.8375 - dice_coef: 0.3042 - iou_coef: 0.1807 - loss: 0.3562 - val_accuracy: 0.8304 - val_dice_coef: 0.2973 - val_iou_coef: 0.1790 - val_loss: 0.3463\n",
            "Epoch 5/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 433ms/step - accuracy: 0.8382 - dice_coef: 0.3191 - iou_coef: 0.1912 - loss: 0.3289 - val_accuracy: 0.8305 - val_dice_coef: 0.3030 - val_iou_coef: 0.1826 - val_loss: 0.3393\n",
            "Epoch 6/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 491ms/step - accuracy: 0.8515 - dice_coef: 0.3418 - iou_coef: 0.2078 - loss: 0.3048 - val_accuracy: 0.8546 - val_dice_coef: 0.3376 - val_iou_coef: 0.2067 - val_loss: 0.3158\n",
            "Epoch 7/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 399ms/step - accuracy: 0.8639 - dice_coef: 0.3816 - iou_coef: 0.2376 - loss: 0.3002 - val_accuracy: 0.8591 - val_dice_coef: 0.3546 - val_iou_coef: 0.2206 - val_loss: 0.3138\n",
            "Epoch 8/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 425ms/step - accuracy: 0.8698 - dice_coef: 0.4014 - iou_coef: 0.2533 - loss: 0.2863 - val_accuracy: 0.8712 - val_dice_coef: 0.4265 - val_iou_coef: 0.2748 - val_loss: 0.2916\n",
            "Epoch 9/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 634ms/step - accuracy: 0.8787 - dice_coef: 0.4314 - iou_coef: 0.2771 - loss: 0.2759 - val_accuracy: 0.8710 - val_dice_coef: 0.4487 - val_iou_coef: 0.2934 - val_loss: 0.2900\n",
            "Epoch 10/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 477ms/step - accuracy: 0.8846 - dice_coef: 0.4526 - iou_coef: 0.2945 - loss: 0.2596 - val_accuracy: 0.8667 - val_dice_coef: 0.4466 - val_iou_coef: 0.2916 - val_loss: 0.2963\n",
            "Epoch 11/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 526ms/step - accuracy: 0.8809 - dice_coef: 0.4701 - iou_coef: 0.3091 - loss: 0.2648 - val_accuracy: 0.8780 - val_dice_coef: 0.4552 - val_iou_coef: 0.2991 - val_loss: 0.2886\n",
            "Epoch 12/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 448ms/step - accuracy: 0.8896 - dice_coef: 0.5119 - iou_coef: 0.3468 - loss: 0.2424 - val_accuracy: 0.8794 - val_dice_coef: 0.4915 - val_iou_coef: 0.3316 - val_loss: 0.2959\n",
            "Epoch 13/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 425ms/step - accuracy: 0.8966 - dice_coef: 0.5283 - iou_coef: 0.3606 - loss: 0.2295 - val_accuracy: 0.8818 - val_dice_coef: 0.4863 - val_iou_coef: 0.3266 - val_loss: 0.2784\n",
            "Epoch 14/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 695ms/step - accuracy: 0.8922 - dice_coef: 0.5267 - iou_coef: 0.3599 - loss: 0.2379 - val_accuracy: 0.8896 - val_dice_coef: 0.5517 - val_iou_coef: 0.3851 - val_loss: 0.2575\n",
            "Epoch 15/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 355ms/step - accuracy: 0.9031 - dice_coef: 0.5719 - iou_coef: 0.4037 - loss: 0.2122 - val_accuracy: 0.8774 - val_dice_coef: 0.4880 - val_iou_coef: 0.3273 - val_loss: 0.2805\n",
            "Epoch 16/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 401ms/step - accuracy: 0.9060 - dice_coef: 0.5608 - iou_coef: 0.3924 - loss: 0.2110 - val_accuracy: 0.8894 - val_dice_coef: 0.5406 - val_iou_coef: 0.3745 - val_loss: 0.2654\n",
            "Epoch 17/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 477ms/step - accuracy: 0.9145 - dice_coef: 0.6280 - iou_coef: 0.4598 - loss: 0.1832 - val_accuracy: 0.8881 - val_dice_coef: 0.5627 - val_iou_coef: 0.3963 - val_loss: 0.2819\n",
            "Epoch 18/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 599ms/step - accuracy: 0.9291 - dice_coef: 0.6802 - iou_coef: 0.5178 - loss: 0.1568 - val_accuracy: 0.8906 - val_dice_coef: 0.5516 - val_iou_coef: 0.3848 - val_loss: 0.2816\n",
            "Epoch 19/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 436ms/step - accuracy: 0.9342 - dice_coef: 0.6923 - iou_coef: 0.5320 - loss: 0.1469 - val_accuracy: 0.8845 - val_dice_coef: 0.5175 - val_iou_coef: 0.3548 - val_loss: 0.3129\n",
            "Epoch 20/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 437ms/step - accuracy: 0.9362 - dice_coef: 0.7224 - iou_coef: 0.5688 - loss: 0.1360 - val_accuracy: 0.8916 - val_dice_coef: 0.6188 - val_iou_coef: 0.4521 - val_loss: 0.2965\n",
            "Epoch 21/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 368ms/step - accuracy: 0.9440 - dice_coef: 0.7559 - iou_coef: 0.6100 - loss: 0.1218 - val_accuracy: 0.8907 - val_dice_coef: 0.6061 - val_iou_coef: 0.4402 - val_loss: 0.2837\n",
            "Epoch 22/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 372ms/step - accuracy: 0.9480 - dice_coef: 0.7701 - iou_coef: 0.6285 - loss: 0.1112 - val_accuracy: 0.8937 - val_dice_coef: 0.5979 - val_iou_coef: 0.4308 - val_loss: 0.2828\n",
            "Epoch 23/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 449ms/step - accuracy: 0.9472 - dice_coef: 0.7794 - iou_coef: 0.6402 - loss: 0.1114 - val_accuracy: 0.8869 - val_dice_coef: 0.6298 - val_iou_coef: 0.4638 - val_loss: 0.3081\n",
            "Epoch 24/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 394ms/step - accuracy: 0.9528 - dice_coef: 0.8079 - iou_coef: 0.6791 - loss: 0.0991 - val_accuracy: 0.8980 - val_dice_coef: 0.6319 - val_iou_coef: 0.4661 - val_loss: 0.2899\n",
            "Epoch 25/25\n",
            "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 411ms/step - accuracy: 0.9559 - dice_coef: 0.8151 - iou_coef: 0.6891 - loss: 0.0901 - val_accuracy: 0.8871 - val_dice_coef: 0.6127 - val_iou_coef: 0.4455 - val_loss: 0.3313\n"
          ]
        }
      ],
      "source": [
        "history1 = model.fit(X_train, y_train, validation_data=(X_valid, y_valid), epochs=25, batch_size=32)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 785ms/step - accuracy: 0.9589 - dice_coef: 0.8244 - iou_coef: 0.7023 - loss: 0.0847 - val_accuracy: 0.8966 - val_dice_coef: 0.6500 - val_iou_coef: 0.4823 - val_loss: 0.3358\n",
            "Epoch 2/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 712ms/step - accuracy: 0.9634 - dice_coef: 0.8559 - iou_coef: 0.7485 - loss: 0.0724 - val_accuracy: 0.8967 - val_dice_coef: 0.6425 - val_iou_coef: 0.4742 - val_loss: 0.3825\n",
            "Epoch 3/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 689ms/step - accuracy: 0.9662 - dice_coef: 0.8681 - iou_coef: 0.7673 - loss: 0.0654 - val_accuracy: 0.8957 - val_dice_coef: 0.6386 - val_iou_coef: 0.4698 - val_loss: 0.4184\n",
            "Epoch 4/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 612ms/step - accuracy: 0.9680 - dice_coef: 0.8815 - iou_coef: 0.7885 - loss: 0.0602 - val_accuracy: 0.8944 - val_dice_coef: 0.6567 - val_iou_coef: 0.4896 - val_loss: 0.4325\n",
            "Epoch 5/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 630ms/step - accuracy: 0.9697 - dice_coef: 0.8897 - iou_coef: 0.8016 - loss: 0.0556 - val_accuracy: 0.8965 - val_dice_coef: 0.6520 - val_iou_coef: 0.4846 - val_loss: 0.4551\n",
            "Epoch 6/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 623ms/step - accuracy: 0.9710 - dice_coef: 0.8935 - iou_coef: 0.8079 - loss: 0.0521 - val_accuracy: 0.8956 - val_dice_coef: 0.6640 - val_iou_coef: 0.4978 - val_loss: 0.4549\n",
            "Epoch 7/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 619ms/step - accuracy: 0.9727 - dice_coef: 0.9017 - iou_coef: 0.8214 - loss: 0.0477 - val_accuracy: 0.8953 - val_dice_coef: 0.6564 - val_iou_coef: 0.4896 - val_loss: 0.4830\n",
            "Epoch 8/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 689ms/step - accuracy: 0.9731 - dice_coef: 0.9050 - iou_coef: 0.8268 - loss: 0.0462 - val_accuracy: 0.8942 - val_dice_coef: 0.6626 - val_iou_coef: 0.4962 - val_loss: 0.4906\n",
            "Epoch 9/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 611ms/step - accuracy: 0.9730 - dice_coef: 0.9065 - iou_coef: 0.8292 - loss: 0.0462 - val_accuracy: 0.8902 - val_dice_coef: 0.6594 - val_iou_coef: 0.4926 - val_loss: 0.5044\n",
            "Epoch 10/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 617ms/step - accuracy: 0.9732 - dice_coef: 0.9097 - iou_coef: 0.8346 - loss: 0.0454 - val_accuracy: 0.8960 - val_dice_coef: 0.6656 - val_iou_coef: 0.4997 - val_loss: 0.4840\n",
            "Epoch 11/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 755ms/step - accuracy: 0.9747 - dice_coef: 0.9149 - iou_coef: 0.8435 - loss: 0.0420 - val_accuracy: 0.8939 - val_dice_coef: 0.6593 - val_iou_coef: 0.4926 - val_loss: 0.5209\n",
            "Epoch 12/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 888ms/step - accuracy: 0.9753 - dice_coef: 0.9175 - iou_coef: 0.8478 - loss: 0.0410 - val_accuracy: 0.8969 - val_dice_coef: 0.6660 - val_iou_coef: 0.5002 - val_loss: 0.5378\n",
            "Epoch 13/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 750ms/step - accuracy: 0.9752 - dice_coef: 0.9224 - iou_coef: 0.8561 - loss: 0.0405 - val_accuracy: 0.8964 - val_dice_coef: 0.6695 - val_iou_coef: 0.5040 - val_loss: 0.5134\n",
            "Epoch 14/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 663ms/step - accuracy: 0.9768 - dice_coef: 0.9189 - iou_coef: 0.8503 - loss: 0.0374 - val_accuracy: 0.8969 - val_dice_coef: 0.6744 - val_iou_coef: 0.5099 - val_loss: 0.5301\n",
            "Epoch 15/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 778ms/step - accuracy: 0.9766 - dice_coef: 0.9264 - iou_coef: 0.8631 - loss: 0.0366 - val_accuracy: 0.8976 - val_dice_coef: 0.6679 - val_iou_coef: 0.5023 - val_loss: 0.5034\n",
            "Epoch 16/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 673ms/step - accuracy: 0.9778 - dice_coef: 0.9269 - iou_coef: 0.8640 - loss: 0.0345 - val_accuracy: 0.8987 - val_dice_coef: 0.6696 - val_iou_coef: 0.5044 - val_loss: 0.5779\n",
            "Epoch 17/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 666ms/step - accuracy: 0.9781 - dice_coef: 0.9335 - iou_coef: 0.8754 - loss: 0.0330 - val_accuracy: 0.8938 - val_dice_coef: 0.6647 - val_iou_coef: 0.4988 - val_loss: 0.5964\n",
            "Epoch 18/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 660ms/step - accuracy: 0.9788 - dice_coef: 0.9361 - iou_coef: 0.8801 - loss: 0.0309 - val_accuracy: 0.8952 - val_dice_coef: 0.6644 - val_iou_coef: 0.4984 - val_loss: 0.5869\n",
            "Epoch 19/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 785ms/step - accuracy: 0.9791 - dice_coef: 0.9367 - iou_coef: 0.8810 - loss: 0.0304 - val_accuracy: 0.8970 - val_dice_coef: 0.6604 - val_iou_coef: 0.4939 - val_loss: 0.5948\n",
            "Epoch 20/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 737ms/step - accuracy: 0.9795 - dice_coef: 0.9404 - iou_coef: 0.8876 - loss: 0.0291 - val_accuracy: 0.8984 - val_dice_coef: 0.6739 - val_iou_coef: 0.5092 - val_loss: 0.6060\n",
            "Epoch 21/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 841ms/step - accuracy: 0.9797 - dice_coef: 0.9462 - iou_coef: 0.8980 - loss: 0.0280 - val_accuracy: 0.8958 - val_dice_coef: 0.6680 - val_iou_coef: 0.5024 - val_loss: 0.6284\n",
            "Epoch 22/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 623ms/step - accuracy: 0.9802 - dice_coef: 0.9463 - iou_coef: 0.8983 - loss: 0.0267 - val_accuracy: 0.8955 - val_dice_coef: 0.6732 - val_iou_coef: 0.5082 - val_loss: 0.6035\n",
            "Epoch 23/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 705ms/step - accuracy: 0.9804 - dice_coef: 0.9469 - iou_coef: 0.8992 - loss: 0.0268 - val_accuracy: 0.8965 - val_dice_coef: 0.6621 - val_iou_coef: 0.4958 - val_loss: 0.6343\n",
            "Epoch 24/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 643ms/step - accuracy: 0.9804 - dice_coef: 0.9475 - iou_coef: 0.9003 - loss: 0.0264 - val_accuracy: 0.8958 - val_dice_coef: 0.6729 - val_iou_coef: 0.5080 - val_loss: 0.6381\n",
            "Epoch 25/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 776ms/step - accuracy: 0.9812 - dice_coef: 0.9473 - iou_coef: 0.9001 - loss: 0.0250 - val_accuracy: 0.8958 - val_dice_coef: 0.6694 - val_iou_coef: 0.5039 - val_loss: 0.6371\n",
            "Epoch 26/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 907ms/step - accuracy: 0.9815 - dice_coef: 0.9509 - iou_coef: 0.9066 - loss: 0.0235 - val_accuracy: 0.8988 - val_dice_coef: 0.6708 - val_iou_coef: 0.5056 - val_loss: 0.6722\n",
            "Epoch 27/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 905ms/step - accuracy: 0.9818 - dice_coef: 0.9534 - iou_coef: 0.9111 - loss: 0.0228 - val_accuracy: 0.8941 - val_dice_coef: 0.6693 - val_iou_coef: 0.5040 - val_loss: 0.6871\n",
            "Epoch 28/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 807ms/step - accuracy: 0.9817 - dice_coef: 0.9549 - iou_coef: 0.9139 - loss: 0.0229 - val_accuracy: 0.8991 - val_dice_coef: 0.6714 - val_iou_coef: 0.5065 - val_loss: 0.6632\n",
            "Epoch 29/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 678ms/step - accuracy: 0.9824 - dice_coef: 0.9560 - iou_coef: 0.9158 - loss: 0.0214 - val_accuracy: 0.8933 - val_dice_coef: 0.6666 - val_iou_coef: 0.5008 - val_loss: 0.6930\n",
            "Epoch 30/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 681ms/step - accuracy: 0.9822 - dice_coef: 0.9578 - iou_coef: 0.9192 - loss: 0.0212 - val_accuracy: 0.8958 - val_dice_coef: 0.6654 - val_iou_coef: 0.4995 - val_loss: 0.6956\n",
            "Epoch 31/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 741ms/step - accuracy: 0.9828 - dice_coef: 0.9588 - iou_coef: 0.9209 - loss: 0.0202 - val_accuracy: 0.8965 - val_dice_coef: 0.6674 - val_iou_coef: 0.5018 - val_loss: 0.7006\n",
            "Epoch 32/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 706ms/step - accuracy: 0.9825 - dice_coef: 0.9573 - iou_coef: 0.9181 - loss: 0.0211 - val_accuracy: 0.8931 - val_dice_coef: 0.6694 - val_iou_coef: 0.5040 - val_loss: 0.7041\n",
            "Epoch 33/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 676ms/step - accuracy: 0.9822 - dice_coef: 0.9589 - iou_coef: 0.9212 - loss: 0.0205 - val_accuracy: 0.8960 - val_dice_coef: 0.6668 - val_iou_coef: 0.5011 - val_loss: 0.6989\n",
            "Epoch 34/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 655ms/step - accuracy: 0.9825 - dice_coef: 0.9598 - iou_coef: 0.9228 - loss: 0.0204 - val_accuracy: 0.8939 - val_dice_coef: 0.6687 - val_iou_coef: 0.5031 - val_loss: 0.7069\n",
            "Epoch 35/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 613ms/step - accuracy: 0.9830 - dice_coef: 0.9591 - iou_coef: 0.9215 - loss: 0.0192 - val_accuracy: 0.8966 - val_dice_coef: 0.6668 - val_iou_coef: 0.5011 - val_loss: 0.7158\n",
            "Epoch 36/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 655ms/step - accuracy: 0.9832 - dice_coef: 0.9607 - iou_coef: 0.9245 - loss: 0.0188 - val_accuracy: 0.8944 - val_dice_coef: 0.6659 - val_iou_coef: 0.5000 - val_loss: 0.7353\n",
            "Epoch 37/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 620ms/step - accuracy: 0.9835 - dice_coef: 0.9647 - iou_coef: 0.9319 - loss: 0.0175 - val_accuracy: 0.8942 - val_dice_coef: 0.6679 - val_iou_coef: 0.5023 - val_loss: 0.7584\n",
            "Epoch 38/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 631ms/step - accuracy: 0.9832 - dice_coef: 0.9641 - iou_coef: 0.9307 - loss: 0.0178 - val_accuracy: 0.8955 - val_dice_coef: 0.6667 - val_iou_coef: 0.5010 - val_loss: 0.7450\n",
            "Epoch 39/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 678ms/step - accuracy: 0.9837 - dice_coef: 0.9650 - iou_coef: 0.9325 - loss: 0.0169 - val_accuracy: 0.8931 - val_dice_coef: 0.6659 - val_iou_coef: 0.5000 - val_loss: 0.7744\n",
            "Epoch 40/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 678ms/step - accuracy: 0.9838 - dice_coef: 0.9663 - iou_coef: 0.9350 - loss: 0.0166 - val_accuracy: 0.8945 - val_dice_coef: 0.6643 - val_iou_coef: 0.4983 - val_loss: 0.7606\n",
            "Epoch 41/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 772ms/step - accuracy: 0.9839 - dice_coef: 0.9671 - iou_coef: 0.9363 - loss: 0.0164 - val_accuracy: 0.8944 - val_dice_coef: 0.6629 - val_iou_coef: 0.4967 - val_loss: 0.7679\n",
            "Epoch 42/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 649ms/step - accuracy: 0.9841 - dice_coef: 0.9681 - iou_coef: 0.9382 - loss: 0.0156 - val_accuracy: 0.8943 - val_dice_coef: 0.6658 - val_iou_coef: 0.4999 - val_loss: 0.7810\n",
            "Epoch 43/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 875ms/step - accuracy: 0.9844 - dice_coef: 0.9689 - iou_coef: 0.9397 - loss: 0.0153 - val_accuracy: 0.8955 - val_dice_coef: 0.6669 - val_iou_coef: 0.5011 - val_loss: 0.7731\n",
            "Epoch 44/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 769ms/step - accuracy: 0.9842 - dice_coef: 0.9677 - iou_coef: 0.9374 - loss: 0.0155 - val_accuracy: 0.8945 - val_dice_coef: 0.6655 - val_iou_coef: 0.4997 - val_loss: 0.7784\n",
            "Epoch 45/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 785ms/step - accuracy: 0.9847 - dice_coef: 0.9696 - iou_coef: 0.9412 - loss: 0.0145 - val_accuracy: 0.8949 - val_dice_coef: 0.6636 - val_iou_coef: 0.4974 - val_loss: 0.7875\n",
            "Epoch 46/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 733ms/step - accuracy: 0.9837 - dice_coef: 0.9694 - iou_coef: 0.9407 - loss: 0.0158 - val_accuracy: 0.8944 - val_dice_coef: 0.6697 - val_iou_coef: 0.5043 - val_loss: 0.7844\n",
            "Epoch 47/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 658ms/step - accuracy: 0.9844 - dice_coef: 0.9702 - iou_coef: 0.9422 - loss: 0.0147 - val_accuracy: 0.8947 - val_dice_coef: 0.6654 - val_iou_coef: 0.4995 - val_loss: 0.7816\n",
            "Epoch 48/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 681ms/step - accuracy: 0.9842 - dice_coef: 0.9704 - iou_coef: 0.9426 - loss: 0.0148 - val_accuracy: 0.8947 - val_dice_coef: 0.6677 - val_iou_coef: 0.5021 - val_loss: 0.7980\n",
            "Epoch 49/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 720ms/step - accuracy: 0.9847 - dice_coef: 0.9713 - iou_coef: 0.9444 - loss: 0.0140 - val_accuracy: 0.8945 - val_dice_coef: 0.6609 - val_iou_coef: 0.4943 - val_loss: 0.8054\n",
            "Epoch 50/50\n",
            "\u001b[1m13/13\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m8s\u001b[0m 616ms/step - accuracy: 0.9846 - dice_coef: 0.9714 - iou_coef: 0.9444 - loss: 0.0140 - val_accuracy: 0.8956 - val_dice_coef: 0.6705 - val_iou_coef: 0.5052 - val_loss: 0.8147\n"
          ]
        }
      ],
      "source": [
        "history2 = model.fit(X_train, y_train, validation_data=(X_valid, y_valid), epochs=50, batch_size=64)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 263ms/step - accuracy: 0.8720 - dice_coef: 0.3991 - iou_coef: 0.2541 - loss: 0.2969 - val_accuracy: 0.8825 - val_dice_coef: 0.4936 - val_iou_coef: 0.3355 - val_loss: 0.2953\n",
            "Epoch 2/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 240ms/step - accuracy: 0.9086 - dice_coef: 0.5607 - iou_coef: 0.3945 - loss: 0.2094 - val_accuracy: 0.9004 - val_dice_coef: 0.5636 - val_iou_coef: 0.3994 - val_loss: 0.2674\n",
            "Epoch 3/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 236ms/step - accuracy: 0.9243 - dice_coef: 0.6696 - iou_coef: 0.5077 - loss: 0.1651 - val_accuracy: 0.8955 - val_dice_coef: 0.6103 - val_iou_coef: 0.4451 - val_loss: 0.2835\n",
            "Epoch 4/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 343ms/step - accuracy: 0.9458 - dice_coef: 0.7534 - iou_coef: 0.6093 - loss: 0.1198 - val_accuracy: 0.9037 - val_dice_coef: 0.6205 - val_iou_coef: 0.4546 - val_loss: 0.2628\n",
            "Epoch 5/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 244ms/step - accuracy: 0.9511 - dice_coef: 0.7983 - iou_coef: 0.6664 - loss: 0.1029 - val_accuracy: 0.9048 - val_dice_coef: 0.6539 - val_iou_coef: 0.4910 - val_loss: 0.3057\n",
            "Epoch 6/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 297ms/step - accuracy: 0.9588 - dice_coef: 0.8370 - iou_coef: 0.7220 - loss: 0.0848 - val_accuracy: 0.9003 - val_dice_coef: 0.5960 - val_iou_coef: 0.4326 - val_loss: 0.4047\n",
            "Epoch 7/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 231ms/step - accuracy: 0.9652 - dice_coef: 0.8521 - iou_coef: 0.7449 - loss: 0.0689 - val_accuracy: 0.9019 - val_dice_coef: 0.6753 - val_iou_coef: 0.5152 - val_loss: 0.3019\n",
            "Epoch 8/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 269ms/step - accuracy: 0.9687 - dice_coef: 0.8862 - iou_coef: 0.7970 - loss: 0.0574 - val_accuracy: 0.8956 - val_dice_coef: 0.6227 - val_iou_coef: 0.4618 - val_loss: 0.4153\n",
            "Epoch 9/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 302ms/step - accuracy: 0.9699 - dice_coef: 0.8870 - iou_coef: 0.7984 - loss: 0.0542 - val_accuracy: 0.8992 - val_dice_coef: 0.6477 - val_iou_coef: 0.4854 - val_loss: 0.4365\n",
            "Epoch 10/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 264ms/step - accuracy: 0.9723 - dice_coef: 0.9002 - iou_coef: 0.8196 - loss: 0.0487 - val_accuracy: 0.8967 - val_dice_coef: 0.6640 - val_iou_coef: 0.5018 - val_loss: 0.4482\n",
            "Epoch 11/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 250ms/step - accuracy: 0.9747 - dice_coef: 0.9093 - iou_coef: 0.8349 - loss: 0.0431 - val_accuracy: 0.8992 - val_dice_coef: 0.6708 - val_iou_coef: 0.5098 - val_loss: 0.4512\n",
            "Epoch 12/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 218ms/step - accuracy: 0.9773 - dice_coef: 0.9247 - iou_coef: 0.8609 - loss: 0.0357 - val_accuracy: 0.9010 - val_dice_coef: 0.6813 - val_iou_coef: 0.5223 - val_loss: 0.4333\n",
            "Epoch 13/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 222ms/step - accuracy: 0.9790 - dice_coef: 0.9357 - iou_coef: 0.8800 - loss: 0.0306 - val_accuracy: 0.9005 - val_dice_coef: 0.6815 - val_iou_coef: 0.5221 - val_loss: 0.4845\n",
            "Epoch 14/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 207ms/step - accuracy: 0.9806 - dice_coef: 0.9431 - iou_coef: 0.8930 - loss: 0.0264 - val_accuracy: 0.9020 - val_dice_coef: 0.6834 - val_iou_coef: 0.5244 - val_loss: 0.5063\n",
            "Epoch 15/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 243ms/step - accuracy: 0.9807 - dice_coef: 0.9458 - iou_coef: 0.8978 - loss: 0.0261 - val_accuracy: 0.9028 - val_dice_coef: 0.6946 - val_iou_coef: 0.5386 - val_loss: 0.5032\n",
            "Epoch 16/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 281ms/step - accuracy: 0.9813 - dice_coef: 0.9511 - iou_coef: 0.9073 - loss: 0.0241 - val_accuracy: 0.9026 - val_dice_coef: 0.6926 - val_iou_coef: 0.5353 - val_loss: 0.5186\n",
            "Epoch 17/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 255ms/step - accuracy: 0.9821 - dice_coef: 0.9550 - iou_coef: 0.9143 - loss: 0.0218 - val_accuracy: 0.9015 - val_dice_coef: 0.6874 - val_iou_coef: 0.5302 - val_loss: 0.5331\n",
            "Epoch 18/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 327ms/step - accuracy: 0.9826 - dice_coef: 0.9566 - iou_coef: 0.9173 - loss: 0.0203 - val_accuracy: 0.9010 - val_dice_coef: 0.6885 - val_iou_coef: 0.5307 - val_loss: 0.5631\n",
            "Epoch 19/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 351ms/step - accuracy: 0.9830 - dice_coef: 0.9592 - iou_coef: 0.9220 - loss: 0.0197 - val_accuracy: 0.9003 - val_dice_coef: 0.6818 - val_iou_coef: 0.5233 - val_loss: 0.5667\n",
            "Epoch 20/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 255ms/step - accuracy: 0.9829 - dice_coef: 0.9606 - iou_coef: 0.9245 - loss: 0.0195 - val_accuracy: 0.9020 - val_dice_coef: 0.6887 - val_iou_coef: 0.5308 - val_loss: 0.5663\n",
            "Epoch 21/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 301ms/step - accuracy: 0.9832 - dice_coef: 0.9629 - iou_coef: 0.9289 - loss: 0.0183 - val_accuracy: 0.8996 - val_dice_coef: 0.6880 - val_iou_coef: 0.5298 - val_loss: 0.5687\n",
            "Epoch 22/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 284ms/step - accuracy: 0.9836 - dice_coef: 0.9638 - iou_coef: 0.9306 - loss: 0.0177 - val_accuracy: 0.9036 - val_dice_coef: 0.6896 - val_iou_coef: 0.5321 - val_loss: 0.5522\n",
            "Epoch 23/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 230ms/step - accuracy: 0.9837 - dice_coef: 0.9629 - iou_coef: 0.9289 - loss: 0.0176 - val_accuracy: 0.9007 - val_dice_coef: 0.6867 - val_iou_coef: 0.5281 - val_loss: 0.6041\n",
            "Epoch 24/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 242ms/step - accuracy: 0.9835 - dice_coef: 0.9653 - iou_coef: 0.9333 - loss: 0.0176 - val_accuracy: 0.9033 - val_dice_coef: 0.6922 - val_iou_coef: 0.5349 - val_loss: 0.5888\n",
            "Epoch 25/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 237ms/step - accuracy: 0.9839 - dice_coef: 0.9668 - iou_coef: 0.9362 - loss: 0.0164 - val_accuracy: 0.9019 - val_dice_coef: 0.6946 - val_iou_coef: 0.5378 - val_loss: 0.5936\n",
            "Epoch 26/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 316ms/step - accuracy: 0.9842 - dice_coef: 0.9687 - iou_coef: 0.9397 - loss: 0.0156 - val_accuracy: 0.9021 - val_dice_coef: 0.6921 - val_iou_coef: 0.5352 - val_loss: 0.6060\n",
            "Epoch 27/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 235ms/step - accuracy: 0.9842 - dice_coef: 0.9682 - iou_coef: 0.9387 - loss: 0.0156 - val_accuracy: 0.9046 - val_dice_coef: 0.6930 - val_iou_coef: 0.5365 - val_loss: 0.6369\n",
            "Epoch 28/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 227ms/step - accuracy: 0.9845 - dice_coef: 0.9713 - iou_coef: 0.9446 - loss: 0.0141 - val_accuracy: 0.9016 - val_dice_coef: 0.6980 - val_iou_coef: 0.5420 - val_loss: 0.6017\n",
            "Epoch 29/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 196ms/step - accuracy: 0.9849 - dice_coef: 0.9712 - iou_coef: 0.9444 - loss: 0.0138 - val_accuracy: 0.9028 - val_dice_coef: 0.6948 - val_iou_coef: 0.5386 - val_loss: 0.6171\n",
            "Epoch 30/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 215ms/step - accuracy: 0.9847 - dice_coef: 0.9714 - iou_coef: 0.9447 - loss: 0.0139 - val_accuracy: 0.9027 - val_dice_coef: 0.6893 - val_iou_coef: 0.5317 - val_loss: 0.6534\n",
            "Epoch 31/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 302ms/step - accuracy: 0.9841 - dice_coef: 0.9702 - iou_coef: 0.9424 - loss: 0.0155 - val_accuracy: 0.9022 - val_dice_coef: 0.6905 - val_iou_coef: 0.5332 - val_loss: 0.6252\n",
            "Epoch 32/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 246ms/step - accuracy: 0.9842 - dice_coef: 0.9708 - iou_coef: 0.9435 - loss: 0.0151 - val_accuracy: 0.9017 - val_dice_coef: 0.6936 - val_iou_coef: 0.5366 - val_loss: 0.6259\n",
            "Epoch 33/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 229ms/step - accuracy: 0.9848 - dice_coef: 0.9716 - iou_coef: 0.9451 - loss: 0.0140 - val_accuracy: 0.9052 - val_dice_coef: 0.7040 - val_iou_coef: 0.5495 - val_loss: 0.6053\n",
            "Epoch 34/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 251ms/step - accuracy: 0.9846 - dice_coef: 0.9711 - iou_coef: 0.9441 - loss: 0.0140 - val_accuracy: 0.9032 - val_dice_coef: 0.6904 - val_iou_coef: 0.5331 - val_loss: 0.6094\n",
            "Epoch 35/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 213ms/step - accuracy: 0.9841 - dice_coef: 0.9683 - iou_coef: 0.9389 - loss: 0.0157 - val_accuracy: 0.9012 - val_dice_coef: 0.6948 - val_iou_coef: 0.5374 - val_loss: 0.5758\n",
            "Epoch 36/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 292ms/step - accuracy: 0.9841 - dice_coef: 0.9677 - iou_coef: 0.9378 - loss: 0.0158 - val_accuracy: 0.9002 - val_dice_coef: 0.6820 - val_iou_coef: 0.5221 - val_loss: 0.6322\n",
            "Epoch 37/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 294ms/step - accuracy: 0.9849 - dice_coef: 0.9720 - iou_coef: 0.9458 - loss: 0.0135 - val_accuracy: 0.9006 - val_dice_coef: 0.6879 - val_iou_coef: 0.5295 - val_loss: 0.6489\n",
            "Epoch 38/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 304ms/step - accuracy: 0.9853 - dice_coef: 0.9738 - iou_coef: 0.9493 - loss: 0.0123 - val_accuracy: 0.9006 - val_dice_coef: 0.6868 - val_iou_coef: 0.5285 - val_loss: 0.6663\n",
            "Epoch 39/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 245ms/step - accuracy: 0.9855 - dice_coef: 0.9761 - iou_coef: 0.9535 - loss: 0.0117 - val_accuracy: 0.9034 - val_dice_coef: 0.6957 - val_iou_coef: 0.5383 - val_loss: 0.6571\n",
            "Epoch 40/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 206ms/step - accuracy: 0.9855 - dice_coef: 0.9764 - iou_coef: 0.9542 - loss: 0.0114 - val_accuracy: 0.8992 - val_dice_coef: 0.6860 - val_iou_coef: 0.5276 - val_loss: 0.6653\n",
            "Epoch 41/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 211ms/step - accuracy: 0.9855 - dice_coef: 0.9765 - iou_coef: 0.9544 - loss: 0.0113 - val_accuracy: 0.8996 - val_dice_coef: 0.6837 - val_iou_coef: 0.5250 - val_loss: 0.6888\n",
            "Epoch 42/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 201ms/step - accuracy: 0.9853 - dice_coef: 0.9780 - iou_coef: 0.9571 - loss: 0.0111 - val_accuracy: 0.9038 - val_dice_coef: 0.6965 - val_iou_coef: 0.5404 - val_loss: 0.6921\n",
            "Epoch 43/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 248ms/step - accuracy: 0.9855 - dice_coef: 0.9755 - iou_coef: 0.9524 - loss: 0.0118 - val_accuracy: 0.9021 - val_dice_coef: 0.6911 - val_iou_coef: 0.5337 - val_loss: 0.7024\n",
            "Epoch 44/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 234ms/step - accuracy: 0.9860 - dice_coef: 0.9773 - iou_coef: 0.9559 - loss: 0.0106 - val_accuracy: 0.9022 - val_dice_coef: 0.6932 - val_iou_coef: 0.5366 - val_loss: 0.6803\n",
            "Epoch 45/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 213ms/step - accuracy: 0.9859 - dice_coef: 0.9782 - iou_coef: 0.9575 - loss: 0.0105 - val_accuracy: 0.8995 - val_dice_coef: 0.6903 - val_iou_coef: 0.5330 - val_loss: 0.6822\n",
            "Epoch 46/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 251ms/step - accuracy: 0.9853 - dice_coef: 0.9771 - iou_coef: 0.9555 - loss: 0.0115 - val_accuracy: 0.9024 - val_dice_coef: 0.6917 - val_iou_coef: 0.5349 - val_loss: 0.6650\n",
            "Epoch 47/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 250ms/step - accuracy: 0.9852 - dice_coef: 0.9773 - iou_coef: 0.9558 - loss: 0.0117 - val_accuracy: 0.9030 - val_dice_coef: 0.6975 - val_iou_coef: 0.5410 - val_loss: 0.6569\n",
            "Epoch 48/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 277ms/step - accuracy: 0.9859 - dice_coef: 0.9780 - iou_coef: 0.9572 - loss: 0.0104 - val_accuracy: 0.9020 - val_dice_coef: 0.6907 - val_iou_coef: 0.5335 - val_loss: 0.6957\n",
            "Epoch 49/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 216ms/step - accuracy: 0.9858 - dice_coef: 0.9789 - iou_coef: 0.9589 - loss: 0.0104 - val_accuracy: 0.9018 - val_dice_coef: 0.6910 - val_iou_coef: 0.5339 - val_loss: 0.7113\n",
            "Epoch 50/50\n",
            "\u001b[1m50/50\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 242ms/step - accuracy: 0.9849 - dice_coef: 0.9744 - iou_coef: 0.9503 - loss: 0.0154 - val_accuracy: 0.9040 - val_dice_coef: 0.7074 - val_iou_coef: 0.5538 - val_loss: 0.5140\n"
          ]
        }
      ],
      "source": [
        "history3 = model.fit(X_train, y_train, validation_data=(X_valid, y_valid), epochs=50, batch_size=16)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Thus, increasing batch_size, increases Dice and Iou=U. So, evaluate the model with second one."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Results and analysis"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Evaluate model on test data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1m4/4\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 120ms/step - accuracy: 0.8992 - dice_coef: 0.6970 - iou_coef: 0.5369 - loss: 0.5692\n",
            "Test Loss: 0.5583736300468445\n",
            "Test Accuracy: 0.8983715772628784\n",
            "IoU: 0.6862320899963379\n",
            "Dice: 0.5257070660591125\n"
          ]
        }
      ],
      "source": [
        "loss, accuracy, iou, dice = model.evaluate(X_test, y_test)\n",
        "print(f'Test Loss: {loss}\\nTest Accuracy: {accuracy}\\nIoU: {iou}\\nDice: {dice}')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### IoU: 0.686, Dice: 0.53"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Plot training metrics"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [],
      "source": [
        "def plot_training(hist):\n",
        "\n",
        "    # Define needed variables\n",
        "    tr_acc = hist.history['accuracy']\n",
        "    tr_iou = hist.history['iou_coef']\n",
        "    tr_dice = hist.history['dice_coef']\n",
        "    tr_loss = hist.history['loss']\n",
        "\n",
        "    val_acc = hist.history['val_accuracy']\n",
        "    val_iou = hist.history['val_iou_coef']\n",
        "    val_dice = hist.history['val_dice_coef']\n",
        "    val_loss = hist.history['val_loss']\n",
        "\n",
        "    index_acc = np.argmax(val_acc)\n",
        "    acc_highest = val_acc[index_acc]\n",
        "    index_iou = np.argmax(iou_coef)\n",
        "    iou_highest = val_iou[index_iou]\n",
        "    index_dice = np.argmax(dice_coef)\n",
        "    dice_highest = val_dice[index_dice]\n",
        "    index_loss = np.argmin(val_loss)\n",
        "    val_lowest = val_loss[index_loss]\n",
        "\n",
        "    Epochs = [i+1 for i in range(len(tr_acc))]\n",
        "\n",
        "    acc_label = f'best epoch= {str(index_acc + 1)}'\n",
        "    iou_label = f'best epoch= {str(index_iou + 1)}'\n",
        "    dice_label = f'best epoch= {str(index_dice + 1)}'\n",
        "    loss_label = f'best epoch= {str(index_loss + 1)}'\n",
        "\n",
        "    # Plot training history\n",
        "    plt.figure(figsize= (20, 20))\n",
        "    plt.style.use('fivethirtyeight')\n",
        "\n",
        "    # Training Accuracy\n",
        "    plt.subplot(2, 2, 1)\n",
        "    plt.plot(Epochs, tr_acc, 'r', label= 'Training Accuracy')\n",
        "    plt.plot(Epochs, val_acc, 'g', label= 'Validation Accuracy')\n",
        "    plt.scatter(index_acc + 1 , acc_highest, s= 150, c= 'blue', label= acc_label)\n",
        "    plt.title('Training and Validation Accuracy')\n",
        "    plt.xlabel('Epochs')\n",
        "    plt.ylabel('Accuracy')\n",
        "    plt.legend()\n",
        "\n",
        "    # Training IoU\n",
        "    plt.subplot(2, 2, 2)\n",
        "    plt.plot(Epochs, tr_iou, 'r', label= 'Training IoU')\n",
        "    plt.plot(Epochs, val_iou, 'g', label= 'Validation IoU')\n",
        "    plt.scatter(index_iou + 1 , iou_highest, s= 150, c= 'blue', label= iou_label)\n",
        "    plt.title('Training and Validation IoU Coefficient')\n",
        "    plt.xlabel('Epochs')\n",
        "    plt.ylabel('IoU')\n",
        "    plt.legend()\n",
        "\n",
        "    # Training Dice\n",
        "    plt.subplot(2, 2, 3)\n",
        "    plt.plot(Epochs, tr_dice, 'r', label= 'Training Dice')\n",
        "    plt.plot(Epochs, val_dice, 'g', label= 'Validation Dice')\n",
        "    plt.scatter(index_dice + 1 , dice_highest, s= 150, c= 'blue', label= dice_label)\n",
        "    plt.title('Training and Validation Dice Coefficient')\n",
        "    plt.xlabel('Epochs')\n",
        "    plt.ylabel('Dice')\n",
        "    plt.legend()\n",
        "\n",
        "    # Training Loss\n",
        "    plt.subplot(2, 2, 4)\n",
        "    plt.plot(Epochs, tr_loss, 'r', label= 'Training loss')\n",
        "    plt.plot(Epochs, val_loss, 'g', label= 'Validation loss')\n",
        "    plt.scatter(index_loss + 1, val_lowest, s= 150, c= 'blue', label= loss_label)\n",
        "    plt.title('Training and Validation Loss')\n",
        "    plt.xlabel('Epochs')\n",
        "    plt.ylabel('Loss')\n",
        "    plt.legend()\n",
        "\n",
        "    plt.tight_layout\n",
        "    plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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/bUycONH3vvjcc88ZMTExhiTjiiuuME6dOuVbd9++fcaGDRuM0aNH+/YzevRov+t0x44dxoYNG4yhQ4f6lpsxY0am5bw3xhlGzombd955x7edkiVLGs8++6wxffp0Y82aNcaCBQuM4cOHG507dzZq1qzpt25ObcYJEyb4zulll11mvPvuu8bUqVON1atXGz///LPRr1+/HK8tb33Lli0Ns9lsXHnllcbIkSON5cuXG0uWLDFefvllw263G5KMUqVKGceOHcu0/qW+/hEeJG6AEMpN40iSERsba6xevTrbbW3ZsiXb+oz/1GbPnh1wmdw2jqTMdyZ4uVwuo2PHjr6Gy9GjR/2WyW3jSJLRpEmTgHfezJ8/37fM//t//8+vfs2aNb5/etdee23AOxJ+/PHHTMeT18bRvn37sv3i8tSpU8ZVV11lSDLatGkTcJmMf+v4+Hhj/fr1fsscPXrUd2djkyZN/OrT0tKMypUrG5KMEiVKGH/88YffMn/++acRHx+frw9+Xhn/jt99913AZdLT032Nw6pVq2a62+bcuXPGgQMHsty+2+02BgwY4Psgl/GDmld+GkfBOl9utzvHu5ZeeeUVXwM50Ot0586d2b6uMsrpmPv06eOr/+ijj/zqXS6X0bdv32yXCcb1eKm8iYAyZcoYaWlpmequueYaQ5LRvHnzLNefOnWqL+amTZv6fQjNaM+ePZl+T01N9TUuoqOjjRkzZmS57rFjx4zk5ORMZcFO3Eie5E12PYyC8frJzznL+B48duzYLNfr1KmTIcmoVKlSwIY4ACCy0DbxR9uEtolh0DbJSlFrm+SUuPEmV00mU6Yehl4pKSnG9ddf79vGlClT/JYJdeJm8eLFvvXvuuuuS17/Yunp6b6REmJiYozff//db5ljx44Z9erVMyTPTXEZk/pebdq0MSQZV155ZZY9L1euXGnExsYakoyXX37Zrz43Pb4MI+d2mFd2iZv169f7EmC1atUyduzYkeV2Lm47GUb2bcZjx475bgC48847/drDXp9++mm2/zcz/g/p0qWLkZqa6rfMuHHjfMt8+OGHfvWX8vpHeDDHDRCBnnvuOV1zzTXZLlO7du1s6wcOHKgmTZpIUo5jY+akZ8+eAcf9NJvNeuaZZyRJDocj1+OaZmXMmDEqXbq0X3m7du3UokULSdKCBQv86keMGOEbJ/fzzz8POCZrr169dNttt+UrPkmqUqWKYmNjs6xPSEjQa6+9JklavHixjh8/nu32XnvtNV111VV+5YmJifrHP/4hSVq/fr3fWN1TpkzRgQMHJEkvvPCCGjVq5LeNK6+8Ui+99FL2B5RL9913n2985i+//DLgMtOmTdOxY8ckeSabN5sv/IuJi4tTpUqVsty+yWTS+++/L4vFoqSkJM2ePTsocXsF63yZTCZdccUV2S7zyiuvKDExUYZh6Oeff8570Dk4ePCgfvrpJ0lS27Zt9c9//tNvGbPZrM8//1xlypSRJH388cfZbjOv1+OlOHv2rCZNmiRJ6t27t+x2e6b6e+65R5K0YsUKbd68OeA23nzzTUlSVFSUJkyYoLJly2a5v8suuyzT71999ZX27t0ryTP2eOfOnbNct2zZsoqJicnhiPLv008/9f2NAgnG6yc/56xdu3a+/zmjR48OuM6ePXs0d+5cSZ6Jfy0WS5bbBwAULrRNMqNtQtskv2ibRE7bJCsrV67U8uXLJXmun549e/otEx0drXHjxslqtUrK+XhCIeNrvEKFCvne3uTJk7Vv3z5J0rPPPquWLVv6LVO2bFmNGDFCkuR2u/Xf//43U/3ixYu1ePFiSZ731YoVKwbcV9OmTfX4449LyrrNESrvvvuubw6lb775JtNcMBe7uO2Uk88++0ynT59WuXLlNGrUKL/2sNejjz6qZs2aScr+fHivw6ioKL+6e+65x/deF+j/FSIfiRsgAnm/uMwtwzB06NAhbdmyRX/++afvUaVKFUmeDzMFFU/Tpk19z7ObBDwnDRs29DXmsttPoH14P0jXr19f1157bZbbuO+++/IcX1aSkpK0a9cu/fXXX77zbrPZfPXZnXuTyaS77747y3rvMRuGoZ07d2aqy9h4yDj53sW8E8zlV61atdSmTRtJ0syZM3XkyBG/ZbwTf0qeL26z43A4tG/fPm3atMl33g4cOOD7Mjm/1+zFCup8ud1uHThwQH///bfvODZt2qSqVatKCv5xZDRv3jw5nU5J0gMPPJDlcgkJCerTp48kadu2bdq1a1fA5fJzPV6KH3/8UcnJyZI8jaCL3Xnnnb4v/ceNG+dXf+LECd8XMbfffruqV69+Sfv/9ddfJXkSGI8++uglrVsQLrvsMrVr1+6S1rnU109+z5l04RpbuHChtm3b5lc/ZswY38S33oY0AKBooG2S9X5om3jQNrk0tE0ip22SlVmzZvmeZ3c8NWvWVKdOnSRJixYtUlpaWtBjuRRnz571PQ+UNL5UuT0P119/verVq+e3juRJVEpS9erVfYmIrLRt21aSdODAAe3ZsydPMeeX2+3Wb7/9Jklq1apVwGRVfnjPR9euXbNNvEsXzsfvv/+e5TKdOnXKMklnNpt9N17k538iwsca7gAAZFaiRAldfvnluVp26tSp+uyzz7Rw4cJM/6Av5r3TKK/q16+fZV3Gu8SziyE/+8i4n4v3kZqa6vsSMbuGkZS5IZcfx44d0wcffKCJEydq69atvjvqslo2K4mJiUpMTMyyPrtzu2HDBklS5cqVVbly5Sy3Ua5cOdWoUSMoH2b79++vRYsWyel0avz48fp//+//+epOnTqlX375RZLUokUL1a1b1299h8OhESNG6KuvvtLatWuVnp6e5b7ye81eLJjnyzAMffPNN/riiy+0fPlypaSkZLlssI8joz///NP3PKcPky1bttT//vc/SZ5zUaNGDb9l8nM9XgpvMqZWrVpq3bq1X33FihV14403avr06fr666/1xhtvZLpDct26db7X3PXXX3/J+1+zZo0kqXHjxoqPj8/LIQRVoLsIA8nP6ye/50ySBgwYoJdfflkOh0OjR4/29eCRPK+JsWPHSvI0LnK66xoAUHjQNsl+P7RNPGibXBraJpHTNsmK93jMZnOOyYaWLVtq+vTpSktL05YtWwL2oAqVkiVL+p4nJSXle3ve81C5cuUce5a0bNlSmzdv1u7du3X27FlfLKtWrZIk7d69+5ISkYcOHVK1atXyGHne7dq1SydPnpSU97ZTVlwul9atWyfJ0y4OdKNiIIcOHcqyLq//r1A40OMGiDClSpXKcRnDMPTAAw/olltu0dSpU3N8A87uw1tuZHcXQMYvVL1dSYO9j4z78d7R7XXq1Cnf83LlymW7jZzqc2P16tWqV6+e3nrrLW3ZsiXbhpGU/bnP7TFL/uf2xIkTkqTy5cvnFHJQukhLnmGtvMNGXTwkwffff++7uyjQHW0nTpxQq1at9MQTT2j58uXZNoyk/F+zgfYv5f98paamqlu3brr33ns1f/78HOMM9nFk5D0mKefjytgdPeN6GeXnesytnTt3atGiRZKU7R103p44+/bt05w5czLVHT161Pc8uyEusuJdPy/rFoRAQ7BcLL+vn/yeM8lzjfXo0UOS5/Wf8RqYO3eu725JetsAQNFC2yT7/dA28aBtcmlom0RG2yQ73rji4+MVHR2d7bLZHY83UZHTa9Mr43J56Z2WcTjkw4cPX/L6F7uUazWr8xCoR1xueEdpCLVgtJ2ycuLECV/PtEsRjPfugnidoOCRuAEiTG7mBRg9erS++OILSVKTJk00duxYbdq0SWfOnJHT6ZRhGDIMw/flZ24/JCB76enp6tOnj44fPy6bzaannnpKCxYs0MGDB5Wamuo779u3b/etU9DnPhhDDeRWfHy8byzutWvX6q+//vLVeYcisNvt6tevn9+6Tz75pFavXi3JMy75zz//rF27dik5OVlut9t37rx38RTUecvv+XrjjTc0bdo0SZ7xzX/44Qdt27ZN586dk8vl8h2H986cUL32Qnkd5MeXX37pOyevv/66TCZTwEfGpE5u70IqrHLznh8prx/v8Aj79+/XjBkzfOXeMZfj4+PVu3fvAtk3ACA8aJtELtomtE1omxS8/B6LN7mY2yRExl4yeRnqrFGjRr73be81Hgz5OQ/ehEG9evW0YcOGXD9y6ulUGGVMntx7772XdD5QPDFUGlAIjRw5UpJ0xRVXaOnSpVlOnp3V3StFSca7ADPeGRFITvU5mTt3rm9c0E8//TTLMV5Dcd69d+nn5i6aYNxp49W/f3+NHz9ekudL+HfeeUc7duzQkiVLJEndu3f360Fw5swZff/995I8vSy+/vrrLLfv7ZIcbME4X4ZhaNSoUZI8Xabnzp2b6U6vjEJxDWQcHuDw4cPZDvuVsWt1xvVCyTCMLCePzc6kSZMydbXPOGTCwYMHL3l7iYmJ2rdvX57WlbK+w/ZiwRiaQArO6ye/58yrc+fOqlatmvbs2aMvvvhCXbt21enTpzVp0iRJUr9+/XK84wsAUPTQNrmAtgltk9ygbRL+tklOvHGdPn1aqamp2fa6ye54vL+fPHlSaWlpASeQzyjjZ/W8nJv4+Hg1adJEq1ev1pYtW7R169Z8DWPsjSE312pW5yExMVF///23zp49q4YNG+Y5llAJVtspkLJly8pkMskwDLnd7kJxPhBe9LgBCiHv3UQ9evTIsmFkGIZvLoeiLDo62jfudk53lHjHVs2rjHdx9e3bt8D2kxvecXMPHDigAwcOZLnc0aNHs5zwMS86derkm1j2m2++kdvtzvRlfKChCLZu3SqHwyEp+/O2efNmnTt3LmixZhSM83XixAnfh9HevXtn2TA6d+6c/v777yz3Eaw70DJ+yFu+fHm2y2asD9eYy4sXL/Z9ufDII4/o22+/zfbxxhtvSPLcnTZhwgTfdq6++mrfOVy4cOElx+Edb37dunU6c+bMJa/vTSDl1JDfvHnzJW87kGC8fvJ7zrzMZrPuv/9+SdIvv/yiY8eOafz48b6u+wyTBgDFE22TC2ib0DbJDdom4W+b5MR7PG63O8fXkPd4oqKiVKdOnUx13vksXS6X1q9fn+N+M75v5HYuzIsNHDhQkud996OPPsrTNry85+HAgQPat29ftst6z0P16tUzzbVz9dVXS/L02g/m67+g1KxZ05dczU/bKRCbzaYrr7xSkrRkyZKw90AtSr3jiioSN0Ah5B0TM7s7uqdMmRL0uwMiVceOHSVJmzZtyraBlJe7/TPKOBZpVufe7Xb77josSJ06dfI9z24oqbFjxwb1w4DZbNY999wjyfPBa86cOb671MqXL6+bb77Zb53cnDdJvgkqC0Iwzlduj2PUqFHZjlub8W4t79jbeXHDDTfIavV0nPUOVRXImTNn9MMPP0jy3AkbaPLPUPCed5PJpJdffln9+vXL9vH888/77nbK+DcrU6aMWrduLcnTG2f37t2XFEf37t0leYYX+fTTTy/5OGrVqiVJ2rJlS5aJn7S0NE2cOPGStx1IMF4/+T1nGf3jH/+QxWKRw+HQV1995bv2rrzySrVo0SLP2wUAFF60TTKjbULbJCe0TcLfNsnJjTfe6Hue3fHs2rVLs2bNkuTp+XRxj5qMf+vsend5eYf5u3jdS/GPf/zDNzfLZ599prlz5+Z63YkTJ2a6nnJ7HpYsWaJNmzb5rSNJt956q+/5f/7zn1zHEi5ms1ndunWTJC1btkzLli0L6va952PXrl2aPHlyULd9qYL1+kfBIXEDFELerq6//PJLwG7P27dv1+OPPx7qsMLmoYce8t0p8MgjjwT84Dpx4kTfcD55lbGL8dixYwMu8+KLL4bkbsKePXv6Poy99dZbme6489q0aZOv10IwZbxz7amnnvKNm33XXXf5PqxndMUVV/j+PuPGjQvY+Pjll1/0ySefBD1Wr2Ccr3LlyvmGv/j2228DfrBZuXKl/v3vf2cbS9myZWW32yUp05jjl6pSpUq6/fbbJUnz5s0L2Lg0DEOPPvqojh8/Lkn6v//7vzzvLz9SUlL0448/SpJatmzpuzMyOxaLRT179pTkudMp491ZL7zwgiTPh8tevXplO/zD3r17M/1+zz33qGrVqpKkV199VTNnzsxy3ePHj/tNBNmuXTtJnsTPhx9+6LeOYRh64okngvblVLBeP/k5ZxlVrVpVN910kyTp3Xff9d2B6O2JAwAofmibZEbbhLZJTmibhLdtkhvNmjVT8+bNJXmuk99++81vmbS0NA0cONCXGAt0PD169FC1atUkeZKBc+bMyXKfo0eP9u3n+uuvV5MmTfIUe0xMjL755htZLBa53W51797dNzxgVo4eParHH39cvXr18vVIkzzXqrft9O677wZ8Pzl58qQeeughSZ6b9C5+v+/UqZNatmwpSfr444+zfL/y2rFjh28IxHB59tlnfXMF3X333dn2FMqu7RTIk08+6RtK8KGHHsrxPXrRokVasGDBJe0jt4L1+kfBIXEDFEL33XefJE931VatWmn06NFasWKFFi5cqCFDhujaa6/ViRMndM0114Q50tC49tpr9eCDD0ryDAXQtGlTjRkzRqtXr9b8+fP1z3/+U3379vV98JLy1iW0S5cuKl++vCTp5Zdf1iOPPKIZM2Zo9erV+v7779WpUye9++67vjvbC5LdbtfHH38sSTp79qxat26tN998U7///ruWLVumd955R9ddd50kT+MkmOrXr++bKPDPP//0lQcaikDyfBjo2rWrJGn69Onq3LmzfvrpJ61evVrTpk3TAw88oNtuu021atVSuXLlghqrVzDOl9ls1t133y1J+uOPP9SmTRt9++23WrVqlebMmaOnn35abdu2VXR0tF8X+YysVqvv/I0ePVrffvutNm3apG3btmnbtm2XNAb1f/7zH5UtW1aS9Nhjj6l///6aMWOG1qxZox9//FFt27b1feht1apV2L40mTRpkq93Sq9evXK9nnfZi+fH6datm69xsGrVKtWvX1+vvfaa5s2bp3Xr1mnevHn6z3/+o+uvv973fukVFRWlb775RlarVampqbr55pt1zz33aNKkSVqzZo2WL1+ub775RgMGDFD16tX9xnPu1q2batasKUkaMmSInnzySS1atEirV6/W+PHj1bZtW40aNSpo7wPBev3k55xdzDuGvnd4Drvd7ptwGgBQ/NA2yYy2CW2TnNA2CW/bJLdGjhypqKgoud1u3XrrrXryySc1b948rV69Wl9++aWaNWum+fPnS/IMV9ejRw+/bVitVo0dO1Zms1kOh0M33XSTBgwYoJ9++kmrVq3SypUr9d133+n222/33QhVokSJfPeUu+GGGzR69GjZ7XYlJyerX79+at68ud59913NmjVLa9as0cKFC/XVV1/pnnvuUa1atQKORmCz2TRy5EiZTCYlJSWpbdu2+ve//63Fixdr5cqV+uyzz3T11Vdr48aNkqRnnnkmYMJp/PjxSkxMlGEYGjhwoLp06aJx48Zp+fLlWrNmjWbOnKlhw4apQ4cOql27tn766ad8HX9+XXXVVXr99dcleRJJV111lZ577jnNmjVL69at06JFi/TZZ5/p5ptvVvv27S9p2+XKldOXX34ps9msY8eOqVWrVrr//vs1adIkrV69WitWrNCUKVP08ssvq2HDhmrbtq02bNhQAEcZ3Nc/CogBIGSqV69uSDKqV6/uV9e/f/8s6y6Wnp5udO7c2ZAU8BETE2P88MMPOW7Tu/zgwYP96saMGeOr37lzZ7bxZLedwYMH++oD8Z6T/v37Z7uPnLaTlpZm3HLLLVmek5o1axrbtm3z/f72229nu7+sTJ8+3YiOjs5yP+3btzf+/PNP3+9jxozx20Zu/9bz5s3zbWfevHkBlxk2bJhhMpkCxhIbG2v8+uuvRrt27QxJRrt27fJ0zIF88sknmfZ11VVXZbv8nj17jGrVqmV53qpVq2b89ddf2V4POZ2PnK4Rw8j/+Tp16pTRpEmTLI+jTJkyxoIFC3I857/++muWcWR8HeXmGli/fr1RtWrVLGOSZFx//fXGiRMnAq4fzOsxKxnfr3bv3p3r9dLT043SpUsbkozLL788U53L5TL+9a9/ZXkevY+s/gazZ882EhMTs103q/e/pUuXGiVKlMhynRdeeCHH99DcvvcZRnBeP8E4Z14Oh8OoWLGib/k77rgjx2MAAEQe2ib+aJtkjbZJZrRN/I/ZMApH28TLe16y+xvNmTPH1x7J6nHHHXcYKSkp2e7r119/zXE73mtv5cqVeTqeQBYvXmxcffXVOe5XkpGYmGh8/PHHhsvl8tvON998k+17jSTjiSeeCLiu19atW43GjRvnKpaBAwf6rZ/bv3lu/1/k5v1+2LBhhs1myzbWQNdqbt7npk2blqv2qCRj3LhxfusHeo0GktNrKrevf4QHPW6AQshms2nq1KkaPny4mjZtqtjYWMXExOiKK67QI488ojVr1qh3797hDjOk7Ha7fv75Z40ZM0Zt2rRRQkKCYmNjVb9+fQ0aNEirV6/23f0jSQkJCXnaT5cuXbRq1Srdc889qly5smw2m8qVK6d27dppxIgRmjNnjuLi4oJ1WDl65plntHjxYt1+++0qX768oqKiVL16df3jH//QqlWrfGOzBtudd97p61IrKcc79C+77DKtWbNGzz77rOrUqaOoqCglJCSocePGGjx4sNatW6cGDRoUSKwZ5fd8JSQkaMmSJXr99dfVqFEjRUdHq0SJEqpfv76eeeYZrV+/Xm3bts0xjm7dumnOnDm69dZbfddRXl111VXavHmzhg0bptatW6tMmTKy2WyqWLGiunbtqm+++UYLFizwTbAYavv379fs2bMleYYc8A4VkBs2m803XNr27du1ePFiX53ZbNYHH3ygdevW6bHHHlP9+vVVsmRJWa1WlStXTu3bt9fQoUMzjROdUceOHbVjxw69++67atu2rRITE2W1WlWiRAk1atRIDz/8sObOnRtw3O1WrVppzZo1GjBggKpWrSqbzaYKFSrolltu0YwZM/TWW2/l/gTlQrBeP/k9Z15Wq1V33nmn73eGSQOA4o22iT/aJrRNcoO2SeTr0KGDtm7dqldeeUXXXnutEhISZLfbVaVKFd1xxx2aOnWqJkyYkGmukEC6deumXbt26YMPPlDnzp1VqVIlRUVFKTo6WlWrVlWPHj00cuRIbdmyRU2bNg1a/K1bt9bq1as1depUPfroo7rqqqtUrlw5Wa1WJSQkqH79+rr33nv13Xffad++fXriiSdkNvt/VXzXXXdpy5Ytevrpp9WwYUOVLFnSd73ee++9WrJkiT7++OOA63pdccUVWrNmjX744Qf16dNHNWrUUExMjGw2m8qXL6/WrVvrmWee0cKFC7OdTyeUnnnmGf3999965pln1LhxYyUkJMhqtapMmTJq1aqVBg0apOnTp+dp2zfddJN27typDz/8UDfeeKMqVaoku92u6OhoVatWTV26dNGbb76pzZs35/ielh/BfP0j+EyGEcSZ4QAggi1evFjXX3+9JGnWrFl5nuwPAIq7G2+8UbNnz1bVqlW1e/fubBtpAADAH20TAACQHVrZAIqNb7/9VpLnbvFrr702zNEAQOG0a9cu38SqAwYMIGkDAEAe0DYBAADZoaUNoEg4ceKETp48mWX9jBkz9Pnnn0uSunfvXmi6ZgNApBk2bJgMw5DFYvFNvgwAAC6gbQIAAPLLGu4AACAYNm7cqK5du6p3797q1KmTLr/8clksFu3Zs0dTpkzR119/LZfLpejoaL355pvhDhcACo2UlBTt379fycnJmjp1qv73v/9Jku65555LmrMIAIDigrYJAADIL+a4AVAkZBwjOislS5bU999/r5tvvjlEUQFA4Td//nzdcMMNmcoqVKigdevWqWLFimGKCgCAyEXbBAAA5Bc9boLM7XbL7XZnKjOZTDKZTGGKCCgeGjdurDFjxmjGjBl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            "text/plain": [
              "<Figure size 2000x2000 with 4 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plot_training(history3)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Show the predictions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1m4/4\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 193ms/step\n"
          ]
        }
      ],
      "source": [
        "predictions = model.predict(X_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 2000x800 with 30 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "num_images = 10\n",
        "plt.figure(figsize=(20, 8))\n",
        "for i in range(10):\n",
        "    plt.subplot(3, num_images, i + 1)\n",
        "    plt.imshow(X_test[i])\n",
        "    plt.title('Test Image')\n",
        "    plt.axis('off')\n",
        "    \n",
        "    plt.subplot(3, num_images, num_images + i + 1)\n",
        "    plt.imshow(y_test[i], cmap='gray')\n",
        "    plt.title('Test Mask')\n",
        "    plt.axis('off')\n",
        "    \n",
        "    plt.subplot(3, num_images, 2*num_images + i + 1)\n",
        "    plt.imshow(predictions[i], cmap='gray')\n",
        "    plt.title('Pred Mask')\n",
        "    plt.axis('off')\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {},
      "outputs": [],
      "source": [
        "def compute_precision(pred, mask):\n",
        "    TP    = tf.reduce_sum(tf.cast(tf.logical_and(tf.equal(mask, 1), tf.equal(tf.round(pred), 1)), tf.float32))\n",
        "    TP_FP = tf.reduce_sum(tf.cast(tf.equal(tf.round(pred), 1), tf.float32))\n",
        "    return (TP / (TP_FP + 1e-6))\n",
        "\n",
        "\n",
        "def compute_recall(pred, mask):\n",
        "    TP = tf.reduce_sum(tf.cast(tf.logical_and(tf.equal(mask, 1), tf.equal(tf.round(pred), 1)), tf.float32))\n",
        "    P  = tf.reduce_sum(tf.cast(tf.equal(mask, 1), tf.float32))\n",
        "    return (TP / (P + 1e-6))\n",
        "\n",
        "def Dice_coefficient(pred, mask):\n",
        "    dim1, dim2 = mask.shape[0], mask.shape[1]\n",
        "    target_shape = (dim1, dim2)\n",
        "    mask = mask.reshape(target_shape)\n",
        "    pred = pred.reshape(target_shape)\n",
        "    precision = compute_precision(pred, mask)\n",
        "    recall    = compute_recall(pred, mask)\n",
        "    return precision, recall\n",
        "\n",
        "\n",
        "def compute_F1(pred, mask):\n",
        "    precision, recall = Dice_coefficient(pred, mask)\n",
        "    return 2 * (precision * recall) / (precision + recall + 1e-6)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "tf.Tensor(0.6800355, shape=(), dtype=float32)\n"
          ]
        }
      ],
      "source": [
        "f1 = 0\n",
        "for i in range(100):\n",
        "    f1 += compute_F1(y_test[i], predictions[i])\n",
        "\n",
        "print(f1/100)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### So, the F1-Score or Dice coefficient of this model is 0.68 which is near 70%."
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.0"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}