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from io import BytesIO |
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import ujson |
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import webdataset as wds |
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from PIL import Image |
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from tqdm import tqdm |
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import os |
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import albumentations as A |
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import cv2 |
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def load_text(txt: bytes): |
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return txt.decode() |
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def load_image(jpg): |
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return Image.open(BytesIO(jpg)).convert('RGB') |
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load_mapping = { |
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'jpg': load_image, |
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'txt': load_text |
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} |
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def valid_image(img): |
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return min(img.size) >= 64 |
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def resize_img(img, max_size=224): |
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width, height = img.size |
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if max(width,height) > max_size: |
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if width < height: |
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new_height = max_size |
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new_width = int(max_size * width / height) |
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else: |
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new_width = max_size |
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new_height = int(max_size * height / width) |
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img = img.resize((new_width, new_height), Image.BICUBIC) |
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width, height = img.size |
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new_img = Image.new("RGB", (max_size, max_size), (255, 255, 255)) |
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new_img.paste(img, ((max_size - width) // 2, (max_size - height) // 2)) |
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return new_img |
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def img_to_meta(img): |
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width, height = img.size |
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return { |
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'width': width, |
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'height': height |
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} |
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def get_image(img): |
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if not valid_image(img): |
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return None, None |
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img=resize_img(img) |
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img_stream = BytesIO() |
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img.save(img_stream, format='jpeg') |
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img_stream.seek(0) |
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return img_stream.read(), ujson.dumps(img_to_meta(img)) |
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change_mapping = { |
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'jpg': get_image |
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} |
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def func(wds_dataset_str, **kwargs): |
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ds = wds.WebDataset(wds_dataset_str, shardshuffle=False).map_dict(**load_mapping).map_dict(**change_mapping).to_tuple( |
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'jpg', 'txt') |
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dl = wds.WebLoader(ds, batch_size=None, num_workers=48, prefetch_factor=16, **kwargs) |
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writer = wds.ShardWriter('target_path/%05d.tar', 10000) |
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for img, txt in tqdm(dl): |
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img_str, meta = img |
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if img_str is None: |
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continue |
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sample = { |
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'__key__': f'{writer.count:08}', |
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'jpg': img_str, |
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'txt': txt, |
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'json': meta |
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} |
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writer.write(sample) |
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if __name__ == '__main__': |
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func('path_to_origin_data') |