unet_implementation.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xpzPpy95kIDK"
      },
      "source": [
        "# Eyes and Lips Segmentation with UNet implemented from scratch"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gnExMYO7ku14"
      },
      "source": [
        "## Imports"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LK9VM9wSfuIh"
      },
      "source": [
        "import os\r\n",
        "import cv2\r\n",
        "import glob\r\n",
        "import numpy as np\r\n",
        "import matplotlib.pyplot as plt\r\n",
        "import pandas as pd\r\n",
        "import glob\r\n",
        "from PIL import Image\r\n",
        "import torch\r\n",
        "from torch import nn\r\n",
        "from torchvision import transforms\r\n",
        "from torch.utils.data import Dataset, DataLoader\r\n",
        "import torchvision.models as models\r\n",
        "from tqdm.notebook import tqdm\r\n",
        "from torchvision.models.segmentation.deeplabv3 import DeepLabHead\r\n",
        "from torch.autograd import Variable"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KoLoymttkw8E"
      },
      "source": [
        "## Data Preprocessing"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HKR6b4OqRfoS"
      },
      "source": [
        "The 4 different channels for each image (left eye, right eye, upper lip and lower lip) given in the dataset are combined into one black and white image of (512, 512) size in the script `make_masks.py`. Run this script locally once you have unzipped CelebMask-HQ dataset. Once then the output should look like [this](https://drive.google.com/drive/folders/1-_K1XRGiyYN08LttA7vkyG72Hn1Q-0bt?usp=sharing).\r\n",
        "\r\n",
        "```\r\n",
        "import os\r\n",
        "import cv2\r\n",
        "import numpy as np\r\n",
        "\r\n",
        "label_list = ['l_eye', 'r_eye', 'u_lip', 'l_lip']\r\n",
        "\r\n",
        "folder_base = 'CelebAMask-HQ-mask-anno'\r\n",
        "folder_save = 'CelebAMaskHQ-mask'\r\n",
        "\r\n",
        "img_num = 30000\r\n",
        "\r\n",
        "os.chdir(os.path.join(os.getcwd()))\r\n",
        "\r\n",
        "print(os.listdir())\r\n",
        "\r\n",
        "\r\n",
        "def make_folder(path):\r\n",
        "    if not os.path.exists(os.path.join(path)):\r\n",
        "        os.makedirs(os.path.join(path))\r\n",
        "\r\n",
        "\r\n",
        "make_folder(folder_save)\r\n",
        "\r\n",
        "for k in range(img_num):\r\n",
        "    # The masks are divided into folders from 0 to 14 therefore this step is to extract the folder number\r\n",
        "    folder_num = k // 2000\r\n",
        "\r\n",
        "    # empty image of size 512x512\r\n",
        "    im_base = np.zeros((512, 512))\r\n",
        "\r\n",
        "    # make sure that an empty mask image isn't included\r\n",
        "    is_empty = True\r\n",
        "\r\n",
        "    for idx, label in enumerate(label_list):\r\n",
        "        # depends on the file format CelebAMask-HQ authors chose\r\n",
        "        filename = os.path.join(folder_base, str(folder_num), str(\r\n",
        "            k).rjust(5, '0') + '_' + label + '.png')\r\n",
        "\r\n",
        "        if os.path.exists(filename.strip(' ')):\r\n",
        "            is_empty = False   # means our mask isn't empty\r\n",
        "            im = cv2.imread(filename)\r\n",
        "            im = im[:, :, 0]\r\n",
        "            im_base[im != 0] = 255\r\n",
        "\r\n",
        "    if not is_empty:\r\n",
        "        # save as an image\r\n",
        "        filename_save = os.path.join(folder_save, str(k) + '.png')\r\n",
        "        print(filename_save)\r\n",
        "        cv2.imwrite(filename_save, im_base)\r\n",
        "\r\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DRpEsYKrlNzK"
      },
      "source": [
        "### Mounting Google Drive to Access Dataset "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mQqhodVGlJ78",
        "outputId": "2a0af2b1-9a95-40f1-ec7c-40440f51a5de"
      },
      "source": [
        "from google.colab import drive\r\n",
        "drive.mount('/gdrive')\r\n",
        "%cd /gdrive"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /gdrive\n",
            "/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UUyhcacOuTd9"
      },
      "source": [
        "os.chdir('/gdrive/MyDrive/CelebAMask-HQ-Dataset/CelebAMask-HQ')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TrTjzz_Uo8HV"
      },
      "source": [
        "### Data Augmentation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sqRZOg_2dLTG"
      },
      "source": [
        "For the image, we resize the original 512 by 512 image to 572 by 572 (UNet's input size) and for the mask we resize the image to 388 by 388 (UNet's output size). Then we convert them to tensors and normalize the images by applying imagenet stats since our model was also pretrained on ImageNet"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HVI9M9zZmiov"
      },
      "source": [
        "image_transform = transforms.Compose([transforms.Resize((572, 572), 2),\r\n",
        "                                      transforms.ToTensor(),\r\n",
        "                                      transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])]) # imagenet stats\r\n",
        "        \r\n",
        "mask_transform = transforms.Compose([transforms.Resize((388, 388), 2),\r\n",
        "                                    transforms.ToTensor()])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dCLEHZnxlYtx"
      },
      "source": [
        "The image and mask folders are separated so we extract the list of images in the masks folder, sort them and then make another image list in which we alter the path to represent inputs so we get the correct image corresponding to a mask.\r\n",
        "For each image, mask pair -\r\n",
        "1. The image is converted to RGB and respective augementations are applied to it.\r\n",
        "2. The mask is converted to a single L channel, to be interpreted as grayscale and respective augementations are applied to it.\r\n",
        "3. We then obtain, two images from our mask. One which is the original mask and other in which every pixel is reversed (just the opposite).\r\n",
        "4. We superimpose these two images to form two channels (image shape : 388x388x2), which is what our model will be predicting."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e1Nw3QG3lV9z"
      },
      "source": [
        "### Custom Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kYOU8UKDnOQ8"
      },
      "source": [
        "class CelebAHQ(Dataset):\r\n",
        "    def __init__(self, parent_dir, image_dir, mask_dir, image_transform, mask_transform):\r\n",
        "\r\n",
        "        self.mask_list = glob.glob(parent_dir+'/'+mask_dir+'/*')\r\n",
        "        # A smaller subset of 1000 images out of 30000 were chosen to train faster. Change below to add more more data.\r\n",
        "        self.mask_list = self.mask_list[:1000]\r\n",
        "        self.mask_list.sort()\r\n",
        "        self.image_list = []\r\n",
        "\r\n",
        "        # an image exists for every mask\r\n",
        "        for path in self.mask_list:\r\n",
        "            self.image_list.append(path.replace('.png', '.jpg').replace(mask_dir, image_dir))\r\n",
        "        self.mask_list = self.mask_list\r\n",
        "\r\n",
        "        self.image_transform = image_transform\r\n",
        "        self.mask_transform = mask_transform\r\n",
        "                \r\n",
        "    def __len__(self):\r\n",
        "        return len(self.image_list)\r\n",
        "\r\n",
        "    def __getitem__(self, index):\r\n",
        "        img = Image.open(self.image_list[index]).convert('RGB')\r\n",
        "        img = image_transform(img)\r\n",
        "        \r\n",
        "        mask = Image.open(self.mask_list[index]).convert('L')\r\n",
        "        mask_present = mask_transform(mask)\r\n",
        "\r\n",
        "        mask_present = mask_present.type(torch.BoolTensor)\r\n",
        "        mask_not_present = torch.bitwise_not(mask_present)\r\n",
        "        mask = torch.cat([mask_not_present, mask_present], dim=0)\r\n",
        "        \r\n",
        "        return img, mask"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rS-gDIMKuR6P"
      },
      "source": [
        "# change path according to your need\r\n",
        "dataset = CelebAHQ('.', 'CelebA-HQ-img', 'CelebAMaskHQ-mask', image_transform, mask_transform)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IH-JsP7G7b-b",
        "outputId": "c668ba72-3397-4276-ba9d-1f79b21e3adc"
      },
      "source": [
        "len(dataset)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BLFcqUTl-whz"
      },
      "source": [
        "## Splitting the dataset\r\n",
        "\r\n",
        "The train, validation, test ratios are 0.8, 0.1 and 0.1 of the whole dataset. A batch size of 8 was chosen after experiments with the GPU. Then we make dataloaders for train, test and validation datasets."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6Nbs1MMWyr-A",
        "outputId": "ee481042-0291-4f74-cf35-9e6b2cf83687"
      },
      "source": [
        "random_seed = 42\r\n",
        "torch.manual_seed(random_seed)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<torch._C.Generator at 0x7f9a384dc770>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r7YNXoEWyFyo"
      },
      "source": [
        "def train_val_test_split(dataset):\r\n",
        "    train_dataset = torch.utils.data.Subset(dataset, range(0, int(0.8 * len(dataset))))\r\n",
        "    val_dataset = torch.utils.data.Subset(dataset, range(int(0.8*len(dataset)), int(0.9*len(dataset))))\r\n",
        "    test_dataset = torch.utils.data.Subset(dataset, range(int(0.9*len(dataset)), len(dataset)))\r\n",
        "    return train_dataset, val_dataset, test_dataset"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zaiZSnNev2Z5"
      },
      "source": [
        "batch_size = 8\r\n",
        "train_dataset, val_dataset, test_dataset = train_val_test_split(dataset)\r\n",
        "train_loader = DataLoader(train_dataset, batch_size = batch_size, shuffle=True, drop_last=True, num_workers=4, pin_memory=True)\r\n",
        "val_loader = DataLoader(val_dataset, batch_size = batch_size, drop_last=True, num_workers=4, pin_memory=True)\r\n",
        "test_loader = DataLoader(test_dataset, batch_size = batch_size, drop_last=True, num_workers=4, pin_memory=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qu68J6eRXZss",
        "outputId": "7c04780f-f944-4056-c2a2-16370ac9a07f"
      },
      "source": [
        "len(train_dataset), len(val_dataset)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(800, 100)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gXdATQ1w0IUO"
      },
      "source": [
        "## Using a GPU"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KMSpFWXE0bv5"
      },
      "source": [
        "device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\r\n",
        "\r\n",
        "def to_device(data, device):\r\n",
        "  if isinstance(data, (list, tuple)):\r\n",
        "    return [to_device(x, device) for x in data]\r\n",
        "  return data.to(device, non_blocking = True)\r\n",
        "\r\n",
        "class DeviceDataLoader():\r\n",
        "    # Wrap a dataloader to move data to a device\r\n",
        "    def __init__(self, dl, device):\r\n",
        "        self.dl = dl\r\n",
        "        self.device = device\r\n",
        "        \r\n",
        "    def __iter__(self):\r\n",
        "    # Yield a batch of data after moving it to device\r\n",
        "        for b in self.dl: \r\n",
        "            yield to_device(b, self.device)\r\n",
        "\r\n",
        "    def __len__(self):\r\n",
        "        return len(self.dl)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ilKGSGwC0kRs"
      },
      "source": [
        "train_loader = DeviceDataLoader(train_loader, device)\r\n",
        "val_loader = DeviceDataLoader(val_loader, device)\r\n",
        "test_loader = DeviceDataLoader(test_loader, device)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VjOYemhTztri"
      },
      "source": [
        "## Evaluation Metrics"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gxx9mQQX3c-q"
      },
      "source": [
        "1. Intersection over Union (Jaccard index) is a standard and reliable metric for segmentation tasks. It is the area of overlap between the predicted segmentation and the ground truth divided by the area of union between the predicted segmentation and the ground truth.\r\n",
        "\r\n",
        "![image.png](data:image/png;base64,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)\r\n",
        "\r\n",
        "2. Pixel Accuracy is also used to show a contrast with IOU as our positive and negative classes are imbalanced."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tnWf_YMWz3Kr"
      },
      "source": [
        "def mean_IOU(target, predicted): \r\n",
        "    iousum = 0\r\n",
        "    for i in range(target.shape[0]):\r\n",
        "        target_arr = target[i, :, :, :].clone().detach().cpu().numpy().argmax(0)\r\n",
        "        predicted_arr = predicted[i, :, :, :].clone().detach().cpu().numpy().argmax(0)\r\n",
        "        \r\n",
        "        intersection = np.logical_and(target_arr, predicted_arr).sum()\r\n",
        "        union = np.logical_or(target_arr, predicted_arr).sum()\r\n",
        "        if union == 0:\r\n",
        "            iou_score = 0\r\n",
        "        else :\r\n",
        "            iou_score = intersection / union\r\n",
        "        iousum +=iou_score\r\n",
        "        \r\n",
        "    miou = iousum/target.shape[0]\r\n",
        "    return miou"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GSCUIm8z0Bu2"
      },
      "source": [
        "def pixel_acc(target, predicted):     \r\n",
        "    accsum=0\r\n",
        "    for i in range(target.shape[0]):\r\n",
        "        target_arr = target[i, :, :, :].clone().detach().cpu().numpy().argmax(0)\r\n",
        "        predicted_arr = predicted[i, :, :, :].clone().detach().cpu().numpy().argmax(0)\r\n",
        "        \r\n",
        "        same = (target_arr == predicted_arr).sum()\r\n",
        "        a, b = target_arr.shape\r\n",
        "        total = a*b\r\n",
        "        accsum += same/total\r\n",
        "    \r\n",
        "    pixel_accuracy = accsum/target.shape[0]        \r\n",
        "    return pixel_accuracy"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wmYWDdiqzqzk"
      },
      "source": [
        "## Model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TCf80Lj3zoRx"
      },
      "source": [
        "The UNet architecture is pretty popular for segmentation tasks. We are going to train a UNet model written from scratch. Here is a visual representation of the code -\r\n",
        "\r\n",
        "![image.png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gUgHlU3r0Tp4"
      },
      "source": [
        "def conv_block(in_channels, out_channels):\r\n",
        "    return nn.Sequential( nn.Conv2d(in_channels, out_channels, kernel_size= 3),\r\n",
        "                          nn.ReLU(inplace=True),\r\n",
        "                          nn.Conv2d(out_channels, out_channels, kernel_size= 3),\r\n",
        "                          nn.ReLU(inplace=True))\r\n",
        "\r\n",
        "def conv_block_down(in_channels, out_channels):   \r\n",
        "    return nn.Sequential( nn.MaxPool2d(2, stride=2),\r\n",
        "                          nn.Conv2d(in_channels, out_channels, kernel_size= 3),\r\n",
        "                          nn.ReLU(inplace=True),\r\n",
        "                          nn.Conv2d(out_channels, out_channels, kernel_size= 3),\r\n",
        "                          nn.ReLU(inplace=True))\r\n",
        "\r\n",
        "def crop_concatenate(left_tensor, right_tensor):\r\n",
        "    left_tensor_size = left_tensor.size()[2]  # To extract height/width\r\n",
        "    right_tensor_size = right_tensor.size()[2]\r\n",
        "\r\n",
        "    diff = left_tensor_size - right_tensor_size\r\n",
        "    start_crop = diff//2\r\n",
        "    end_crop = left_tensor_size - diff//2\r\n",
        "\r\n",
        "    left_tensor = left_tensor[:, :, start_crop: end_crop,  start_crop: end_crop] # Batches : Channels : Height : Width\r\n",
        "\r\n",
        "    return torch.cat((left_tensor, right_tensor), dim=1)  # Superimpose channels of left cropped tensor and right tensor\r\n",
        "\r\n",
        "def upsample(in_channels):\r\n",
        "    return nn.ConvTranspose2d(in_channels, in_channels//2, kernel_size= 2, stride= 2)\r\n",
        "\r\n",
        "class UNet(nn.Module):\r\n",
        "    def __init__(self):\r\n",
        "        super(UNet, self).__init__()\r\n",
        "        self.conv1 = conv_block(3, 64)\r\n",
        "\r\n",
        "        self.conv2 = conv_block_down(64, 128)\r\n",
        "        self.conv3 = conv_block_down(128, 256)\r\n",
        "        self.conv4 = conv_block_down(256, 512)\r\n",
        "        self.conv5 = conv_block_down(512, 1024)\r\n",
        "\r\n",
        "        self.up5 = upsample(1024)\r\n",
        "        self.conv6 = conv_block(1024, 512)\r\n",
        "        self.up6 = upsample(512)\r\n",
        "        self.conv7 = conv_block(512, 256)\r\n",
        "        self.up7 = upsample(256)\r\n",
        "        self.conv8 = conv_block(256, 128)\r\n",
        "        self.up8 = upsample(128)\r\n",
        "        self.conv9 = conv_block(128, 64)\r\n",
        "\r\n",
        "        self.conv10 = nn.Conv2d(64, 2, 1)\r\n",
        "\r\n",
        "    def forward(self, input):\r\n",
        "        out1 = self.conv1(input)\r\n",
        "\r\n",
        "        out2 = self.conv2(out1) \r\n",
        "        out3 = self.conv3(out2) \r\n",
        "        out4 = self.conv4(out3)\r\n",
        "        out5 = self.conv5(out4)\r\n",
        "\r\n",
        "        # Upsample current output -> Crop corresponding left side output and conctenate with current output -> Pass through next layer\r\n",
        "        out5 = self.up5(out5)\r\n",
        "        out6 = self.conv6(crop_concatenate(out4, out5))\r\n",
        "        out6 = self.up6(out6)\r\n",
        "        out7 = self.conv7(crop_concatenate(out3, out6))\r\n",
        "        out7 = self.up7(out7)\r\n",
        "        out8 = self.conv8(crop_concatenate(out2, out7))\r\n",
        "        out8 = self.up8(out8)\r\n",
        "        out9 = self.conv9(crop_concatenate(out1, out8))\r\n",
        "\r\n",
        "        output = self.conv10(out9)\r\n",
        "        return output"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "axWNu-is1ijV",
        "outputId": "2da1e468-7780-466f-feae-4cd204cdcbc2"
      },
      "source": [
        "model = UNet()\r\n",
        "to_device(model, device)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "UNet(\n",
              "  (conv1): Sequential(\n",
              "    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (1): ReLU(inplace=True)\n",
              "    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (3): ReLU(inplace=True)\n",
              "  )\n",
              "  (conv2): Sequential(\n",
              "    (0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
              "    (1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (2): ReLU(inplace=True)\n",
              "    (3): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (4): ReLU(inplace=True)\n",
              "  )\n",
              "  (conv3): Sequential(\n",
              "    (0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
              "    (1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (2): ReLU(inplace=True)\n",
              "    (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (4): ReLU(inplace=True)\n",
              "  )\n",
              "  (conv4): Sequential(\n",
              "    (0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
              "    (1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (2): ReLU(inplace=True)\n",
              "    (3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (4): ReLU(inplace=True)\n",
              "  )\n",
              "  (conv5): Sequential(\n",
              "    (0): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
              "    (1): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (2): ReLU(inplace=True)\n",
              "    (3): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (4): ReLU(inplace=True)\n",
              "  )\n",
              "  (up5): ConvTranspose2d(1024, 512, kernel_size=(2, 2), stride=(2, 2))\n",
              "  (conv6): Sequential(\n",
              "    (0): Conv2d(1024, 512, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (1): ReLU(inplace=True)\n",
              "    (2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (3): ReLU(inplace=True)\n",
              "  )\n",
              "  (up6): ConvTranspose2d(512, 256, kernel_size=(2, 2), stride=(2, 2))\n",
              "  (conv7): Sequential(\n",
              "    (0): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (1): ReLU(inplace=True)\n",
              "    (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (3): ReLU(inplace=True)\n",
              "  )\n",
              "  (up7): ConvTranspose2d(256, 128, kernel_size=(2, 2), stride=(2, 2))\n",
              "  (conv8): Sequential(\n",
              "    (0): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (1): ReLU(inplace=True)\n",
              "    (2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (3): ReLU(inplace=True)\n",
              "  )\n",
              "  (up8): ConvTranspose2d(128, 64, kernel_size=(2, 2), stride=(2, 2))\n",
              "  (conv9): Sequential(\n",
              "    (0): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (1): ReLU(inplace=True)\n",
              "    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1))\n",
              "    (3): ReLU(inplace=True)\n",
              "  )\n",
              "  (conv10): Conv2d(64, 2, kernel_size=(1, 1), stride=(1, 1))\n",
              ")"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_q_0BtT-z-Ii"
      },
      "source": [
        "## Hyperparameters"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4RjrsUkB2yDe"
      },
      "source": [
        "1. Adam optimizer is one of the most commonly used optimizers used in context of image segmentation networks and therefore I chose Adam.\r\n",
        "2. Since we have black and white masks, a binary segmentation task, BCEWithLogitsLoss was the apporopriate loss function.\r\n",
        "3. An Exponential LR Schedular works as good as a step decay one, so I went with that.\r\n",
        "\r\n",
        "A higher learning rate in the beginning was chosen as we are training from scratch and then decreased by 10%."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xiakzxTp13JB"
      },
      "source": [
        "optimizer = torch.optim.Adam(model.parameters(), lr=0.001)\r\n",
        "loss_fn = nn.BCEWithLogitsLoss()\r\n",
        "lr_scheduler = torch.optim.lr_scheduler.ExponentialLR(optimizer=optimizer, gamma=0.8)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Dk5t4FAR0DYg"
      },
      "source": [
        "## Training loop"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6oe3BWpGPHpe"
      },
      "source": [
        "Checkpoints are used since a single epoch took considerable time and progress could easily be tracked using them. We just load a previous checkpoint if available else we train from from scratch. \r\n",
        "- Training Phase. For a batch in train_loader :\r\n",
        "\r\n",
        "  1. Generate predictions\r\n",
        "  2. Calculate loss\r\n",
        "  3. Compute gradients\r\n",
        "  4. Update weights\r\n",
        "  5. Reset gradients\r\n",
        "- Validation Phase. For batch in val_loader:\r\n",
        "\r\n",
        "  1. Generate predictions\r\n",
        "  2. Calculate loss\r\n",
        "  3. Calculate error metrics\r\n",
        "\r\n",
        "  After which we save the checkpoint file."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KEl1C9HC2CVn"
      },
      "source": [
        "def fit(epochs, optimizer, lr_scheduler, model, loss_fn, train_loader, val_loader, last_ckpt_path = None):   \r\n",
        "    tr_loss_arr = []\r\n",
        "    val_loss_arr = []\r\n",
        "    meanioutrain = []\r\n",
        "    pixelacctrain = []\r\n",
        "    meanioutest = []\r\n",
        "    pixelacctest = []\r\n",
        "    prev_epoch = 0\r\n",
        "    \r\n",
        "    if last_ckpt_path != None :\r\n",
        "        checkpoint = torch.load(last_ckpt_path)\r\n",
        "        prev_epoch = checkpoint['epoch']\r\n",
        "        model.load_state_dict(checkpoint['state_dict'])\r\n",
        "        optimizer.load_state_dict(checkpoint['optimizer_state_dict'])\r\n",
        "        for state in optimizer.state.values():\r\n",
        "            for k, v in state.items():\r\n",
        "                if isinstance(v, torch.Tensor):\r\n",
        "                    state[k] = to_device(v, device)\r\n",
        "                    tr_loss_arr =  checkpoint['Training Loss']\r\n",
        "        val_loss_arr =  checkpoint['Validation Loss']\r\n",
        "        meanioutrain =  checkpoint['MeanIOU train']\r\n",
        "        pixelacctrain =  checkpoint['PixelAcc train']\r\n",
        "        meanioutest =  checkpoint['MeanIOU test']\r\n",
        "        pixelacctest =  checkpoint['PixelAcc test']\r\n",
        "        to_device(model, device)\r\n",
        "    \r\n",
        "    for epoch in range(epochs):\r\n",
        "        model.train()\r\n",
        "        train_loss = 0.0\r\n",
        "        pixelacc = 0\r\n",
        "        meaniou = 0\r\n",
        "        \r\n",
        "        pbar = tqdm(train_loader, total = len(train_loader))\r\n",
        "        for input, mask in pbar:\r\n",
        "            torch.cuda.empty_cache()\r\n",
        "            model.train()\r\n",
        "            input = input.float()\r\n",
        "            mask = mask.float()\r\n",
        "            pred = model(input)\r\n",
        "            loss = loss_fn(pred, mask)\r\n",
        "            \r\n",
        "            optimizer.zero_grad()\r\n",
        "            loss.backward()\r\n",
        "            optimizer.step()\r\n",
        "            \r\n",
        "            tr_loss_arr.append(loss.item())\r\n",
        "            meanioutrain.append(mean_IOU(mask, pred))\r\n",
        "            pixelacctrain.append(pixel_acc(mask, pred))\r\n",
        "            pbar.set_postfix({'Epoch':epoch+1+prev_epoch, \r\n",
        "                              'Training Loss': np.mean(tr_loss_arr),\r\n",
        "                              'Mean IOU': np.mean(meanioutrain),\r\n",
        "                              'Pixel Acc': np.mean(pixelacctrain)})\r\n",
        "            \r\n",
        "        with torch.no_grad():\r\n",
        "            \r\n",
        "            val_loss = 0\r\n",
        "            pbar = tqdm(val_loader, total = len(val_loader))\r\n",
        "            for input, mask in pbar:\r\n",
        "                torch.cuda.empty_cache()\r\n",
        "                input = input.float()\r\n",
        "                mask = mask.float()\r\n",
        "                model.eval()\r\n",
        "                pred = model(input)\r\n",
        "                \r\n",
        "                val_loss_arr.append(loss_fn(pred, mask).item())\r\n",
        "                pixelacctest.append(pixel_acc(mask, pred))\r\n",
        "                meanioutest.append(mean_IOU(mask, pred))\r\n",
        "                \r\n",
        "                pbar.set_postfix({'Epoch':epoch+1+prev_epoch, \r\n",
        "                                  'Validation Loss': np.mean(val_loss_arr),\r\n",
        "                                  'Mean IOU': np.mean(meanioutest),\r\n",
        "                                  'Pixel Acc': np.mean(pixelacctest)\r\n",
        "                                 })\r\n",
        "        \r\n",
        "        checkpoint = {\r\n",
        "            'epoch':epoch+1+prev_epoch,\r\n",
        "            'state_dict': model.state_dict(),\r\n",
        "            'optimizer_state_dict': optimizer.state_dict(),\r\n",
        "            'Training Loss': tr_loss_arr,\r\n",
        "            'Validation Loss':val_loss_arr,\r\n",
        "            'MeanIOU train':meanioutrain, \r\n",
        "            'PixelAcc train':pixelacctrain, \r\n",
        "            'MeanIOU test':meanioutest, \r\n",
        "            'PixelAcc test':pixelacctest\r\n",
        "        }\r\n",
        "        torch.save(checkpoint, f\"{epoch+1+prev_epoch}.pth\")\r\n",
        "        lr_scheduler.step()\r\n",
        "        \r\n",
        "    return tr_loss_arr, val_loss_arr, meanioutrain, pixelacctrain, meanioutest, pixelacctest"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
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        "outputId": "4b2cdd2e-8c5c-46d6-ec1b-ad73831578e7"
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      "source": [
        "retval += [fit(10, optimizer, lr_scheduler, model, loss_fn, train_loader, val_loader, '30.pth')]"
      ],
      "execution_count": 84,
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        {
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      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rIFtRacvQ4T1"
      },
      "source": [
        "After training for 40 epochs, here is the inference."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h1PYkakAOd1H"
      },
      "source": [
        "## Testing the Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-wsbgWASwr4T"
      },
      "source": [
        "# Loading the model and weights and setting it in evaluation mode\r\n",
        "def load_checkpoint(path): \r\n",
        "    model = DeepLabv3()\r\n",
        "    checkpoint = torch.load(path)\r\n",
        "    model.load_state_dict(checkpoint['state_dict'])\r\n",
        "    model.eval()\r\n",
        "    return model"
      ],
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vBWiegZ6wLMb"
      },
      "source": [
        "def get_prediction(path_img, path_model):\r\n",
        "    img = Image.open(path_img)\r\n",
        "    \r\n",
        "    transform = transforms.Compose([transforms.Resize((572, 572), 2),\r\n",
        "                                    transforms.ToTensor(),\r\n",
        "                                    transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])]) # imagenet stats\r\n",
        "    input_img = transform(img)\r\n",
        "    with torch.no_grad():\r\n",
        "        #model = to_device(load_checkpoint(path_model), device)\r\n",
        "        input_img = to_device(input_img, device).float()\r\n",
        "        ytest = model(input_img.unsqueeze(0).float())\r\n",
        "        ypos = ytest[0, 1, :, :].clone().detach().cpu().numpy() # positive segmentation mask\r\n",
        "        yneg = ytest[0, 0, :, :].clone().detach().cpu().numpy() # negative segmentation mask\r\n",
        "        ytest = ypos >= yneg  # combining both\r\n",
        "    \r\n",
        "    mask = ytest.astype('float32')\r\n",
        "    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(5,5))\r\n",
        "    mask = cv2.dilate(mask,kernel,iterations = 2)\r\n",
        "    mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)\r\n",
        "    mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)\r\n",
        "    return mask"
      ],
      "execution_count": 86,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sHr7iclFwFJM"
      },
      "source": [
        "def get_mask_on_image(image, mask):\r\n",
        "    color_mask = np.zeros_like(image)\r\n",
        "    color_mask[:, :, 1] += mask.astype('uint8') * 250\r\n",
        "    masked = cv2.addWeighted(image, 0.5, color_mask, 0.5 ,0.0)\r\n",
        "    return masked"
      ],
      "execution_count": 87,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9R-e3YsD5R2Y"
      },
      "source": [
        "def print_prediction(path_img,path_model):\r\n",
        "    img = cv2.imread(path_img)\r\n",
        "    img = cv2.resize(img, (388, 388))\r\n",
        "    rgb_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)\r\n",
        "\r\n",
        "    mask = get_prediction(path_img, path_model)\r\n",
        "\r\n",
        "    mask_on_img = get_mask_on_image(rgb_img, mask)\r\n",
        "\r\n",
        "    fig = plt.figure()\r\n",
        "    a = fig.add_subplot(1,3,1)\r\n",
        "    imgplot = plt.imshow(rgb_img)\r\n",
        "    a.set_title('Input')\r\n",
        "    a = fig.add_subplot(1,3,2)\r\n",
        "    imgplot = plt.imshow(mask)\r\n",
        "    a.set_title('Output')\r\n",
        "    a = fig.add_subplot(1,3,3)\r\n",
        "    imgplot = plt.imshow(mask_on_img)\r\n",
        "    a.set_title('Output')"
      ],
      "execution_count": 88,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gh_XAsH-AblD"
      },
      "source": [
        "@torch.no_grad()\r\n",
        "def get_test_score(test_loader):\r\n",
        "    val_loss = 0\r\n",
        "    val_loss_arr = []\r\n",
        "    pixelacctest = []\r\n",
        "    meanioutest = []\r\n",
        "    pbar = tqdm(val_loader, total = len(val_loader))\r\n",
        "    for input, mask in pbar:\r\n",
        "        torch.cuda.empty_cache()\r\n",
        "        input = input.float()\r\n",
        "        mask = mask.float()\r\n",
        "        model.eval()\r\n",
        "        pred = model(input)\r\n",
        "        \r\n",
        "        val_loss_arr.append(loss_fn(pred, mask).item())\r\n",
        "        pixelacctest.append(pixel_acc(mask, pred))\r\n",
        "        meanioutest.append(mean_IOU(mask, pred))\r\n",
        "        \r\n",
        "        pbar.set_postfix({'Validation Loss': np.mean(val_loss_arr),\r\n",
        "                          'Mean IOU': np.mean(meanioutest),\r\n",
        "                          'Pixel Acc': np.mean(pixelacctest)\r\n",
        "                          })"
      ],
      "execution_count": 89,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g9HaWp9sRTVM"
      },
      "source": [
        "### Results on Unseen Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67,
          "referenced_widgets": [
            "ce37868855db4954a17d2c6e95046738",
            "ffdd29d7282b47278c3d3ec8887a9802",
            "54937812bb6c41458a1cd307947df86b",
            "7b2320e695e449109c601a643664e4fa",
            "fb9a1a1b4a434f67bc7467f40af0f52f",
            "56cbe96f325e47c8a3d9b5c096006f68",
            "d0dcf39fdd3147fea3702f7a83839d8a",
            "222994dd65414615b0cb90d7ee9f0c56"
          ]
        },
        "id": "-w4qib-e_iDy",
        "outputId": "346b3072-341a-43b5-f17a-78fba7c92ac4"
      },
      "source": [
        "get_test_score(test_loader)"
      ],
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ce37868855db4954a17d2c6e95046738",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=12.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W4vngt4jRXh4"
      },
      "source": [
        "### Printing few Examples"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yF4-bLRAwV-g"
      },
      "source": [
        "def get_example_preds(base_file_path, model_path):\r\n",
        "    for i in range(3):\r\n",
        "        print_prediction(f\"{base_file_path}/{i}.jpg\", model_path)"
      ],
      "execution_count": 91,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "LqfhDyXhCE29",
        "outputId": "ad011b99-5a16-434f-f140-43f3c2ee1ce9"
      },
      "source": [
        "get_example_preds('test-images', 'model_unet.pth')"
      ],
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3TkAho-SDhfP"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}