| | |
| | |
| |
|
| | import torch.utils.data as data |
| | from PIL import Image |
| | import os |
| |
|
| | IMG_EXTENSIONS = [ |
| | '.jpg', '.JPG', '.jpeg', '.JPEG', |
| | '.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP', '.tiff' |
| | ] |
| |
|
| |
|
| | def is_image_file(filename): |
| | return any(filename.endswith(extension) for extension in IMG_EXTENSIONS) |
| |
|
| |
|
| | def make_dataset(dir): |
| | images = [] |
| | assert os.path.isdir(dir), '%s is not a valid directory' % dir |
| |
|
| | for root, _, fnames in sorted(os.walk(dir)): |
| | for fname in fnames: |
| | if is_image_file(fname): |
| | path = os.path.join(root, fname) |
| | images.append(path) |
| |
|
| | return 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) |
| |
|
