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import argparse |
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import os |
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from os import path as osp |
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from basicsr.utils.download_util import load_file_from_url |
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def download_pretrained_models(method, file_urls): |
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save_path_root = f'./weights/{method}' |
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os.makedirs(save_path_root, exist_ok=True) |
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for file_name, file_url in file_urls.items(): |
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save_path = load_file_from_url(url=file_url, model_dir=save_path_root, progress=True, file_name=file_name) |
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if __name__ == '__main__': |
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parser = argparse.ArgumentParser() |
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parser.add_argument( |
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'method', |
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type=str, |
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help=("Options: 'CodeFormer' 'facelib' 'dlib'. Set to 'all' to download all the models.")) |
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args = parser.parse_args() |
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file_urls = { |
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'CodeFormer': { |
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'codeformer.pth': 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth' |
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}, |
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'facelib': { |
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'detection_Resnet50_Final.pth': 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/detection_Resnet50_Final.pth', |
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'parsing_parsenet.pth': 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/parsing_parsenet.pth' |
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}, |
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'dlib': { |
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'mmod_human_face_detector-4cb19393.dat': 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/mmod_human_face_detector-4cb19393.dat', |
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'shape_predictor_5_face_landmarks-c4b1e980.dat': 'https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/shape_predictor_5_face_landmarks-c4b1e980.dat' |
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} |
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} |
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if args.method == 'all': |
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for method in file_urls.keys(): |
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download_pretrained_models(method, file_urls[method]) |
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else: |
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download_pretrained_models(args.method, file_urls[args.method]) |
