| """A modified image folder class | |
| We modify the official PyTorch image folder (https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py) | |
| so that this class can load images from both current directory and its subdirectories. | |
| """ | |
| import torch.utils.data as data | |
| from pathlib import Path | |
| from PIL import Image | |
| IMG_EXTENSIONS = [ | |
| ".jpg", | |
| ".JPG", | |
| ".jpeg", | |
| ".JPEG", | |
| ".png", | |
| ".PNG", | |
| ".ppm", | |
| ".PPM", | |
| ".bmp", | |
| ".BMP", | |
| ".tif", | |
| ".TIF", | |
| ".tiff", | |
| ".TIFF", | |
| ] | |
| def is_image_file(filename): | |
| return any(filename.endswith(extension) for extension in IMG_EXTENSIONS) | |
| def make_dataset(dir, max_dataset_size=float("inf")): | |
| images = [] | |
| dir_path = Path(dir) | |
| assert dir_path.is_dir(), f"{dir} is not a valid directory" | |
| for path in sorted(dir_path.rglob("*")): | |
| if path.is_file() and is_image_file(path.name): | |
| images.append(str(path)) | |
| return images[: min(max_dataset_size, len(images))] | |
| def default_loader(path): | |
| return Image.open(path).convert("RGB") | |
| class ImageFolder(data.Dataset): | |
| def __init__(self, root, transform=None, return_paths=False, loader=default_loader): | |
| imgs = make_dataset(root) | |
| if len(imgs) == 0: | |
| raise (RuntimeError("Found 0 images in: " + root + "\n" "Supported image extensions are: " + ",".join(IMG_EXTENSIONS))) | |
| self.root = root | |
| self.imgs = imgs | |
| self.transform = transform | |
| self.return_paths = return_paths | |
| self.loader = loader | |
| def __getitem__(self, index): | |
| path = self.imgs[index] | |
| img = self.loader(path) | |
| if self.transform is not None: | |
| img = self.transform(img) | |
| if self.return_paths: | |
| return img, path | |
| else: | |
| return img | |
| def __len__(self): | |
| return len(self.imgs) | |