Unet_paperspace.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# U-Net testing on [Oxford pet dataset][1]\n",
        "#### This notebook contains the code assembled from [paperspace.com][2]\n",
        "\n",
        "[1]: https://www.kaggle.com/datasets/tanlikesmath/the-oxfordiiit-pet-dataset\n",
        "[2]: https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/\n",
        "\n",
        "## General Workflow\n",
        "- [Libraries](#library-imports)\n",
        "- [Assembling the model](#assemble-the-model)\n",
        "- [Image imports and plotting](#Data-importing-and-plotting-the-images)\n",
        "- [Image pre-processing](#Process-the-images)\n",
        "- [Training](#Test-the-model)\n",
        "- [Testing](#Test-the-model)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Library imports"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "GVP5yj3XokTW"
      },
      "outputs": [],
      "source": [
        "## Library imports\n",
        "import os\n",
        "import PIL\n",
        "import random\n",
        "import numpy as np\n",
        "import tensorflow as tf \n",
        "\n",
        "\n",
        "# import the necessary packages\n",
        "from PIL import ImageOps\n",
        "from tensorflow import keras\n",
        "from IPython.display import Image, display\n",
        "from tensorflow.keras.models import Model, Sequential\n",
        "from tensorflow.keras.preprocessing.image import load_img\n",
        "from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, Activation, ReLU\n",
        "from tensorflow.keras.layers import BatchNormalization, Conv2DTranspose, Concatenate\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Assemble the Model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Define the double convolution block"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "nb619riZokTb"
      },
      "outputs": [],
      "source": [
        "def convolution_operation(entered_input, filters=64):\n",
        "    # Taking first input and implementing the first convolution block\n",
        "    conv1 = Conv2D(filters, kernel_size = (3,3), padding = \"same\")(entered_input)\n",
        "    batch_norm1 = BatchNormalization()(conv1)\n",
        "    act1 = ReLU()(batch_norm1)\n",
        "    \n",
        "    # Taking first input and implementing the second convolution block\n",
        "    conv2 = Conv2D(filters, kernel_size = (3,3), padding = \"same\")(act1)\n",
        "    batch_norm2 = BatchNormalization()(conv2)\n",
        "    act2 = ReLU()(batch_norm2)\n",
        "    \n",
        "    return act2"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Define the encoder blocks for the encoder path in the U-net"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "iyt8nZYpokTc"
      },
      "outputs": [],
      "source": [
        "def encoder(entered_input, filters=64):\n",
        "    # Collect the start and end of each sub-block for normal pass and skip connections\n",
        "    enc1 = convolution_operation(entered_input, filters)\n",
        "    MaxPool1 = MaxPooling2D(strides = (2,2))(enc1)\n",
        "    return enc1, MaxPool1"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Define the decoder blocks for the decoder path in the U-net"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "Md-rsB-UokTd"
      },
      "outputs": [],
      "source": [
        "def decoder(entered_input, skip, filters=64):\n",
        "    # Upsampling and concatenating the essential features\n",
        "    Upsample = Conv2DTranspose(filters, (2, 2), strides=2, padding=\"same\")(entered_input)\n",
        "    Connect_Skip = Concatenate()([Upsample, skip])\n",
        "    out = convolution_operation(Connect_Skip, filters)\n",
        "    return out"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Assemble the encoder and decoder units into the U-net\n",
        "_Note:_\n",
        "-  The skip connections will contain the output of the encoder blocks; which will be concatenated and used as a input to the corresponding decoder block.\n",
        "-  Remeber to add the bridge between encoder and decoder paths."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "7dE09aenokTe"
      },
      "outputs": [],
      "source": [
        "## assemble the model\n",
        "def U_Net(Image_Size):\n",
        "    # Take the image size and shape\n",
        "    input1 = Input(Image_Size)\n",
        "    \n",
        "    # Construct the encoder blocks\n",
        "    skip1, encoder_1 = encoder(input1, 64)\n",
        "    skip2, encoder_2 = encoder(encoder_1, 64*2)\n",
        "    skip3, encoder_3 = encoder(encoder_2, 64*4)\n",
        "    skip4, encoder_4 = encoder(encoder_3, 64*8)\n",
        "    \n",
        "    # Preparing the next block\n",
        "    conv_block = convolution_operation(encoder_4, 64*16)\n",
        "    \n",
        "    # Construct the decoder blocks\n",
        "    decoder_1 = decoder(conv_block, skip4, 64*8)\n",
        "    decoder_2 = decoder(decoder_1, skip3, 64*4)\n",
        "    decoder_3 = decoder(decoder_2, skip2, 64*2)\n",
        "    decoder_4 = decoder(decoder_3, skip1, 64)\n",
        "    \n",
        "    out = Conv2D(num_classes, 1, padding=\"same\", activation=\"sigmoid\")(decoder_4)\n",
        "\n",
        "    model = Model(input1, out)\n",
        "    return model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### specify the input parameters"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4DAf-2PdokTf",
        "outputId": "026f4f77-a25c-442f-d980-82bc32a78450"
      },
      "outputs": [],
      "source": [
        "## specify input parameters (adjust the shaped according to your image shapes)\n",
        "input_shape = (160, 160, 3)\n",
        "model = U_Net(input_shape)\n",
        "model.summary()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Plot the model to check the architecture"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "n84Tn3Q2okTg",
        "outputId": "bbc3bbb6-694d-4dd1-f6a5-f514c1c2e1e8"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# plot the model\n",
        "tf.keras.utils.plot_model(model, \"model.png\", show_shapes=False, show_dtype=False, show_layer_names=True, rankdir='TB', expand_nested=False, dpi=96)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Data importing and plotting the images"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Import and sort the images"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Camg_ODvvaGs",
        "outputId": "1e9ddb92-4ee8-454f-e20a-a819807eea24"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Number of samples: 7390\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_1.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_1.png\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_10.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_10.png\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_100.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_100.png\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_101.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_101.png\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_102.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_102.png\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_103.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_103.png\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_104.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_104.png\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_105.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_105.png\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_106.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_106.png\n",
            "C:/Users/Swata/Downloads/images/Abyssinian_107.jpg | C:/Users/Swata/Downloads/annotations/trimaps/Abyssinian_107.png\n"
          ]
        }
      ],
      "source": [
        "## Import the images and annotations\n",
        "import os\n",
        "\n",
        "input_dir = r\"C:/Users/Swata/Downloads/images/\" # Enter the path of the images\n",
        "target_dir = r\"C:/Users/Swata/Downloads/annotations/trimaps/\" # Enter the path of the annotations\n",
        "img_size = (160, 160) # Enter the image size\n",
        "num_classes = 3 # Enter the number of classes\n",
        "batch_size = 8 # Enter the batch size\n",
        "\n",
        "## get the file names and sort to have the corresponding image and masks in order\n",
        "# Get the list of file paths for all the images\n",
        "input_img_paths = sorted( \n",
        "    [\n",
        "        os.path.join(input_dir, fname)\n",
        "        for fname in os.listdir(input_dir)\n",
        "        if fname.endswith(\".jpg\")\n",
        "    ]\n",
        ")\n",
        "# Get the list of file paths for all the corresponding annotations\n",
        "target_img_paths = sorted(\n",
        "    [\n",
        "        os.path.join(target_dir, fname)\n",
        "        for fname in os.listdir(target_dir)\n",
        "        if fname.endswith(\".png\") and not fname.startswith(\".\")\n",
        "    ]\n",
        ")\n",
        "\n",
        "print(\"Number of samples:\", len(input_img_paths)) # Print the number of samples\n",
        "\n",
        "# check names of the first 10 image and mask pair\n",
        "for input_path, target_path in zip(input_img_paths[:10], target_img_paths[:10]):\n",
        "    print(input_path, \"|\", target_path)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### check the images and masks by plotting"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 963
        },
        "id": "RbfH6PLjfkih",
        "outputId": "82520d42-8c8e-46b9-ad66-b0c0c63d26a2"
      },
      "outputs": [
        {
          "data": {
            "image/jpeg": "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",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=600x473>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Display input image #7\n",
        "display(Image(filename=input_img_paths[100]))\n",
        "\n",
        "# Display auto-contrast version of corresponding target (per-pixel categories)\n",
        "img = PIL.ImageOps.autocontrast(load_img(target_img_paths[100]))\n",
        "display(img)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Process the images"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Now we'll create a helper function to load the data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xSXAZTTigFNn"
      },
      "outputs": [],
      "source": [
        "# Create OxfordPets class to load & vectorize batches of data\n",
        "class OxfordPets(keras.utils.Sequence):\n",
        "    \"\"\"Helper to iterate over the data (as Numpy arrays).\"\"\"\n",
        "    # \n",
        "    def __init__(self, batch_size, img_size, input_img_paths, target_img_paths):\n",
        "        \n",
        "        self.batch_size = batch_size # Initialize the batch size\n",
        "        self.img_size = img_size # Initialize the image size\n",
        "        self.input_img_paths = input_img_paths # Initialize the input image paths\n",
        "        self.target_img_paths = target_img_paths # Initialize the target image paths\n",
        "\n",
        "    def __len__(self):\n",
        "        \n",
        "        return len(self.target_img_paths) // self.batch_size # Return the length of the target image paths\n",
        "\n",
        "    def __getitem__(self, idx):\n",
        "        \"\"\"Returns tuple (input, target) correspond to batch #idx.\"\"\"\n",
        "        \n",
        "        i = idx * self.batch_size\n",
        "        batch_input_img_paths = self.input_img_paths[i : i + self.batch_size] # Get the input image paths\n",
        "        batch_target_img_paths = self.target_img_paths[i : i + self.batch_size] # Get the target image paths\n",
        "        \n",
        "        x = np.zeros((self.batch_size,) + self.img_size + (3,), dtype=\"float32\") # Initialize the input array\n",
        "        \n",
        "        for j, path in enumerate(batch_input_img_paths): # Iterate over the input image paths\n",
        "            img = load_img(path, target_size=self.img_size)\n",
        "            x[j] = img\n",
        "       \n",
        "        y = np.zeros((self.batch_size,) + self.img_size + (1,), dtype=\"uint8\") # Initialize the target array\n",
        "        \n",
        "        for j, path in enumerate(batch_target_img_paths): # Iterate over the target image paths\n",
        "            img = load_img(path, target_size=self.img_size, color_mode=\"grayscale\") # Load the image\n",
        "            y[j] = np.expand_dims(img, 2) # Add the image to the target array\n",
        "            # Ground truth labels are 1, 2, 3. Subtract one to make them 0, 1, 2:\n",
        "            y[j] -= 1\n",
        "        return x, y"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "#### Split our img paths into a training and a validation set"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6iiT_jgmgimn"
      },
      "outputs": [],
      "source": [
        "# Split our img paths into a training and a validation set\n",
        "val_samples = 1000 # Enter the number of validation samples\n",
        "\n",
        "# shuffle the training and testing examples\n",
        "random.Random(1337).shuffle(input_img_paths) \n",
        "random.Random(1337).shuffle(target_img_paths)\n",
        "train_input_img_paths = input_img_paths[:-val_samples]\n",
        "train_target_img_paths = target_img_paths[:-val_samples]\n",
        "val_input_img_paths = input_img_paths[-val_samples:]\n",
        "val_target_img_paths = target_img_paths[-val_samples:]\n",
        "\n",
        "# Instantiate data Sequences for each split\n",
        "train_gen = OxfordPets(\n",
        "    batch_size, img_size, train_input_img_paths, train_target_img_paths\n",
        ")\n",
        "val_gen = OxfordPets(batch_size, img_size, val_input_img_paths, val_target_img_paths)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Train the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "eURPg-2Vg3P3",
        "outputId": "2388edfd-ff50-4dfb-bd1f-4f7ff2fe7441"
      },
      "outputs": [],
      "source": [
        "## compile and train the model\n",
        "model.compile(optimizer=\"rmsprop\", loss=\"sparse_categorical_crossentropy\")\n",
        "\n",
        "callbacks = [\n",
        "    keras.callbacks.ModelCheckpoint(\"oxford_segmentation.h5\", save_best_only=True)\n",
        "]\n",
        "\n",
        "# Train the model, doing validation at the end of each epoch.\n",
        "epochs = 15\n",
        "model.fit(train_gen, epochs=epochs, validation_data=val_gen)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Test the model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "## Generate predictions for all images in the validation set\n",
        "val_gen = OxfordPets(batch_size, img_size, val_input_img_paths, val_target_img_paths)\n",
        "val_preds = model.predict(val_gen)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "## create a function to plot masks\n",
        "def display_mask(i):\n",
        "    \"\"\"Quick utility to display a model's prediction.\"\"\"\n",
        "    mask = np.argmax(val_preds[i], axis=-1)\n",
        "    mask = np.expand_dims(mask, axis=-1)\n",
        "    img = PIL.ImageOps.autocontrast(keras.preprocessing.image.array_to_img(mask))\n",
        "    display(img)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Display results for validation image #10\n",
        "i = 10\n",
        "\n",
        "# Display input image\n",
        "display(Image(filename=val_input_img_paths[i]))\n",
        "\n",
        "# Display ground-truth target mask\n",
        "img = PIL.ImageOps.autocontrast(load_img(val_target_img_paths[i]))\n",
        "display(img)\n",
        "\n",
        "# Display mask predicted by our model\n",
        "display_mask(i)  # Note that the model only sees inputs at 150x150."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# THANK YOU"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "include_colab_link": true,
      "name": "Unet_paperspace.ipynb",
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.7.16"
    },
    "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 0
}