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93 lines
2.6 KiB
93 lines
2.6 KiB
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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"""A modified image folder class |
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We modify the official PyTorch image folder (https://github.com/pytorch/vision/blob/master/torchvision/datasets/folder.py) |
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so that this class can load images from both current directory and its subdirectories. |
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""" |
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from paddle.io import Dataset |
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from PIL import Image |
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import os |
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import os.path |
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IMG_EXTENSIONS = [ |
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'.jpg', |
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'.JPG', |
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'.jpeg', |
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'.JPEG', |
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'.png', |
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'.PNG', |
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'.ppm', |
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'.PPM', |
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'.bmp', |
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'.BMP', |
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'.tif', |
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'.TIF', |
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'.tiff', |
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'.TIFF', |
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] |
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def is_image_file(filename): |
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return any(filename.endswith(extension) for extension in IMG_EXTENSIONS) |
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def make_dataset(dir, max_dataset_size=float("inf")): |
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images = [] |
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assert os.path.isdir(dir), '%s is not a valid directory' % dir |
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for root, _, fnames in sorted(os.walk(dir)): |
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for fname in fnames: |
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if is_image_file(fname): |
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path = os.path.join(root, fname) |
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images.append(path) |
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return images[:min(float(max_dataset_size), len(images))] |
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def default_loader(path): |
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return Image.open(path).convert('RGB') |
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class ImageFolder(Dataset): |
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def __init__(self, |
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root, |
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transform=None, |
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return_paths=False, |
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loader=default_loader): |
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imgs = make_dataset(root) |
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if len(imgs) == 0: |
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raise (RuntimeError("Found 0 images in: " + root + "\n" |
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"Supported image extensions are: " + ",".join( |
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IMG_EXTENSIONS))) |
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self.root = root |
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self.imgs = imgs |
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self.transform = transform |
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self.return_paths = return_paths |
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self.loader = loader |
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def __getitem__(self, index): |
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path = self.imgs[index] |
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img = self.loader(path) |
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if self.transform is not None: |
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img = self.transform(img) |
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if self.return_paths: |
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return img, path |
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else: |
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return img |
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def __len__(self): |
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return len(self.imgs)
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