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