{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Comparison:   Upsample+Conv   vs   TransposeConv"},{"metadata":{},"cell_type":"markdown","source":"Using TransposeConv for upsampling on the Generator might produce a checkboard effect visible on the output images, this effect can be greatly reduced by using Upsample+Conv instead.\n<br></br><br></br>\nSource: https://distill.pub/2016/deconv-checkerboard/\n![image.png](attachment:image.png)","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"_kg_hide-input":true},"cell_type":"code","source":"#imports\nimport os\nimport PIL\nimport torchvision\nimport torchvision.datasets as dset\nfrom torch.utils.data import Dataset, DataLoader\nimport torchvision.transforms as transforms\nimport torchvision.utils as vutils\nfrom torch.autograd import Variable\nimport xml.etree.ElementTree as ET\nimport numpy as np\n\nimport imgaug as ia\nimport imgaug.augmenters as iaa\n\nimport matplotlib.pyplot as plt\n\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.parallel\nimport torch.optim as optim\n\n\nimport time\nimport torch\nimport torch.nn as nn\n\nimport torch.nn.parallel\nimport torch.optim as optim\nimport torch.utils.data\nimport torchvision\nimport torchvision.datasets as dset\nimport torchvision.transforms as transforms\nimport torchvision.utils as vutils\nfrom torch.autograd import Variable\nfrom torch import nn, optim\nimport torch.nn.functional as F\nfrom torchvision import datasets, transforms\nfrom torchvision.utils import save_image\nimport matplotlib.image as mpimg","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_kg_hide-input":true},"cell_type":"code","source":"class DataGenerator(Dataset):\n    def __init__(self, directory, transform=None, n_samples=np.inf):\n        self.directory = directory\n        self.transform = transform\n        self.n_samples = n_samples\n\n        self.samples = self._load_subfolders_images(directory)\n        if len(self.samples) == 0:\n            raise RuntimeError(\"Found 0 files in subfolders of: {}\".format(directory))\n\n    def _load_subfolders_images(self, root):\n        IMG_EXTENSIONS = (\n        '.jpg', '.jpeg', '.png', '.ppm', '.bmp', '.pgm', '.tif', '.tiff', '.webp')\n\n        def is_valid_file(x):\n            return torchvision.datasets.folder.has_file_allowed_extension(x, IMG_EXTENSIONS)\n\n        required_transforms = torchvision.transforms.Compose([\n                torchvision.transforms.Resize(64),\n                torchvision.transforms.CenterCrop(64),\n        ])\n\n        imgs = []\n        paths = []\n        for root, _, fnames in sorted(os.walk(root)):\n            for fname in sorted(fnames)[:min(self.n_samples, 999999999999999)]:\n                path = os.path.join(root, fname)\n                paths.append(path)\n\n        for path in paths:\n            if is_valid_file(path):\n                # Load image\n                img = dset.folder.default_loader(path)\n\n                # Get bounding boxes\n                annotation_basename = os.path.splitext(os.path.basename(path))[0]\n                annotation_dirname = next(\n                        dirname for dirname in os.listdir('../input/annotation/Annotation/') if\n                        dirname.startswith(annotation_basename.split('_')[0]))\n                annotation_filename = os.path.join('../input/annotation/Annotation/',\n                                                   annotation_dirname, annotation_basename)\n                tree = ET.parse(annotation_filename)\n                root = tree.getroot()\n                objects = root.findall('object')\n                for o in objects:\n                    bndbox = o.find('bndbox')\n                    xmin = int(bndbox.find('xmin').text)\n                    ymin = int(bndbox.find('ymin').text)\n                    xmax = int(bndbox.find('xmax').text)\n                    ymax = int(bndbox.find('ymax').text)\n\n                    bbox = (xmin, ymin, xmax, ymax)\n\n                    object_img = required_transforms(img.crop(bbox))\n                    imgs.append(object_img)\n        return imgs\n\n    def __getitem__(self, index):\n        sample = self.samples[index]\n        \n        if self.transform is not None:\n            sample = self.transform(sample)\n            \n        return np.asarray(sample)\n    \n    def __len__(self):\n        return len(self.samples)","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true,"_kg_hide-input":true},"cell_type":"code","source":"# util functions\ndef weights_init(m):\n    classname = m.__class__.__name__\n    if classname.find('Conv') != -1:\n        m.weight.data.normal_(0.0, 0.02)\n    elif classname.find('BatchNorm') != -1:\n        m.weight.data.normal_(1.0, 0.02)\n        m.bias.data.fill_(0.)\n\ndef plot_loss(G_losses, D_losses, epoch):\n    plt.figure(figsize=(10,5))\n    plt.title(\"Generator and Discriminator Loss - EPOCH \"+ str(epoch))\n    plt.plot(G_losses,label=\"G\")\n    plt.plot(D_losses,label=\"D\")\n    plt.xlabel(\"iterations\")\n    plt.ylabel(\"Loss\")\n    plt.legend()\n    plt.show()\n\n\ndef show_generated_img(n_images=5):\n    sample = []\n    for _ in range(n_images):\n        noise = torch.randn(1, NZ, 1, 1, device=device)\n        gen_image = netG(noise).to(\"cpu\").clone().detach().squeeze(0)\n        gen_image = gen_image.numpy().transpose(1, 2, 0)\n        sample.append(gen_image)\n\n    figure, axes = plt.subplots(1, len(sample), figsize=(64, 64))\n    for index, axis in enumerate(axes):\n        axis.axis('off')\n        image_array = (sample[index] + 1.) / 2.\n        axis.imshow(image_array)\n    plt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_kg_hide-input":true,"_kg_hide-output":false},"cell_type":"code","source":"# initialize training variables/load image data\nkernel_start_time = time.perf_counter()\ndatabase = \"../input/all-dogs/all-dogs/\"\nn_samples = 2000 #np.inf\nBATCH_SIZE = 16\nEPOCHS = 31\nuse_soft_noisy_labels = True\ninvert_labels = False\nSHOW_DATA = True\n\ntransform = transforms.Compose([#transforms.RandomHorizontalFlip(p=0.5),\n                                transforms.ToTensor(),\n                                transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])\n\ntrain_data = DataGenerator(database, transform=transform, n_samples=n_samples)\n\n\ntrain_loader = torch.utils.data.DataLoader(train_data, shuffle=True,batch_size=BATCH_SIZE)\n\ndevice = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n\nNZ = 100\ncriterion = nn.BCELoss()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_kg_hide-input":true},"cell_type":"code","source":"# train model loop\ndef train_loop():\n    G_losses = []\n    D_losses = []\n    print(\"Training Model\")\n    for epoch in range(EPOCHS):\n        if time.perf_counter() - kernel_start_time > 32000:\n            print(\"Time limit reached! Stopping kernel!\"); break\n            \n        start = time.time()\n        for ii, real_images in enumerate(train_loader):\n            if real_images.shape[0]!= BATCH_SIZE:\n                continue\n            \n            # create labels for the data\n            if use_soft_noisy_labels:\n                real_labels = torch.squeeze(torch.empty((BATCH_SIZE, 1), device=device).uniform_(0.80, 0.95))\n                fake_labels = torch.squeeze(torch.empty((BATCH_SIZE, 1), device=device).uniform_(0.05, 0.20))\n            else:\n                real_labels = torch.squeeze(torch.full((BATCH_SIZE, 1), 0.95, device=device))\n                fake_labels = torch.squeeze(torch.full((BATCH_SIZE, 1), 0.05, device=device))\n                \n            if invert_labels:\n                real_labels, fake_labels = fake_labels, real_labels\n            \n            \n            ############################\n            # (1) Update D network: maximize log(D(x)) + log(1 - D(G(z)))\n            ###########################\n            # train with real samples\n            netD.zero_grad()\n            real_images = real_images.to(device)\n            output = netD(real_images)\n            errD_real = criterion(output, real_labels)\n            errD_real.backward()\n            \n            \n            # train with fake samples\n            noise = torch.randn(BATCH_SIZE, NZ, 1, 1, device=device)\n            fake = netG(noise)\n            output = netD(fake.detach())\n            errD_fake = criterion(output, fake_labels)\n            errD_fake.backward()\n            errD = errD_real + errD_fake\n            optimizerD.step()\n            \n            ############################\n            # (2) Update G network: maximize log(D(G(z)))\n            ###########################\n            netG.zero_grad()\n            output = netD(fake)\n            errG = criterion(output, real_labels)\n            errG.backward()\n            optimizerG.step()\n            \n            G_losses.append(errG.item())\n            D_losses.append(errD.item())\n       \n        #print(f\"{time.time() - start:.2f}s [{epoch + 1}/{EPOCHS}] Loss_D: {errD.item():.4f} Loss_G: {errG.item():.4f}\")\n        \n        if SHOW_DATA and (epoch) % 10 == 0:\n            #plot_loss(G_losses, D_losses, epoch)\n            show_generated_img(10)\n        G_losses = []; D_losses = []","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_kg_hide-input":true},"cell_type":"code","source":"class Discriminator(nn.Module):\n    def __init__(self):\n        super(Discriminator, self).__init__()\n        self.main = nn.Sequential(\n                nn.Conv2d(3, 64, 4, stride=2, padding=1, bias=False),\n                nn.BatchNorm2d(64),\n                nn.LeakyReLU(negative_slope=0.2, inplace=True),\n            \n                nn.Conv2d(64, 128, 4, stride=2, padding=1, bias=False),\n                nn.BatchNorm2d(128),\n                nn.LeakyReLU(negative_slope=0.2, inplace=True),\n            \n                nn.Conv2d(128, 256, 4, stride=2, padding=1, bias=False),\n                nn.BatchNorm2d(256),\n                nn.LeakyReLU(negative_slope=0.2, inplace=True),\n            \n                nn.Conv2d(256, 512, 4, stride=2, padding=1, bias=False),\n                nn.BatchNorm2d(512),\n                nn.LeakyReLU(negative_slope=0.2, inplace=True),\n            \n                nn.Conv2d(512, 1, 4, stride=1, padding=0, bias=False),\n                nn.Sigmoid()\n                )\n        \n    def forward(self, input):\n        output = self.main(input)\n        return output.view(-1)\n\nnetD = Discriminator().to(device)\nweights_init(netD)\noptimizerD = optim.Adam(netD.parameters(), lr=0.0005, betas=(0.5, 0.999))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Generator -> TransposeConvolutions"},{"metadata":{"trusted":true},"cell_type":"code","source":"class Generator(nn.Module):\n    def __init__(self):\n        super(Generator, self).__init__()\n        self.main = nn.Sequential(\n                nn.ConvTranspose2d(100, 512, 4, stride=1, padding=0),\n                nn.BatchNorm2d(512),\n                nn.LeakyReLU(negative_slope=0.05),\n            \n                nn.ConvTranspose2d(512, 256, 4, stride=2, padding=1),\n                nn.BatchNorm2d(256),\n                nn.LeakyReLU(negative_slope=0.05),\n            \n                nn.ConvTranspose2d(256, 128, 4, stride=2, padding=1),\n                nn.BatchNorm2d(128),\n                nn.LeakyReLU(negative_slope=0.05),\n            \n                nn.ConvTranspose2d(128, 64, 4, stride=2, padding=1),\n                nn.BatchNorm2d(64),\n                nn.LeakyReLU(negative_slope=0.05),\n            \n                nn.ConvTranspose2d(64, 3, 4, stride=2, padding=1),\n                nn.Tanh()\n                )\n        \n    def forward(self, input):\n        output = self.main(input)\n        return output\n\nnetG = Generator().to(device)\nweights_init(netG)\noptimizerG = optim.Adam(netG.parameters(), lr=0.0010, betas=(0.5, 0.999))\n\ntrain_loop()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Generator -> Upsample(bilinear) + Convolution(3x3)"},{"metadata":{"trusted":true},"cell_type":"code","source":"class Generator(nn.Module):\n    def __init__(self):\n        super(Generator, self).__init__()\n        \n        def up_conv_block(n_input, n_output, mode='bilinear', k_size=3, stride=1, padding=1):\n            return [nn.Upsample(scale_factor=2, mode=mode),\n                    nn.Conv2d(n_input, n_output, k_size, stride=stride, padding=padding),\n                    nn.BatchNorm2d(n_output),\n                    nn.LeakyReLU(negative_slope=0.05),\n                   ]\n            \n        self.model = nn.Sequential(\n                        nn.ConvTranspose2d(100, 512, 4, stride=1, padding=0),\n                        nn.BatchNorm2d(512),\n            \n                        *up_conv_block(512, 256, mode='bilinear', k_size=3, stride=1, padding=1),\n                        *up_conv_block(256, 128, mode='bilinear', k_size=3, stride=1, padding=1),\n                        *up_conv_block(128, 64,  mode='bilinear', k_size=3, stride=1, padding=1),\n            \n                        nn.Upsample(scale_factor=2, mode='bilinear'),\n                        nn.Conv2d(64,  3,   3, stride=1, padding=1),\n                        nn.Tanh(),\n                        )\n        \n    def forward(self, x):\n        return self.model(x)\n\n\nnetG = Generator().to(device)\nweights_init(netG)\noptimizerG = optim.Adam(netG.parameters(), lr=0.0010, betas=(0.5, 0.999))\n    \ntrain_loop()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Try it out! Any comment on the results obtained would really be appreciated."}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}