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# Copyright (c) Microsoft Corporation. | |
# Licensed under the MIT License. | |
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) | |