Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
test2 / tools /print_config.py
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import argparse
from mmcv import Config, DictAction
def parse_args():
parser = argparse.ArgumentParser(description='Print the whole config')
parser.add_argument('config', help='config file path')
parser.add_argument(
'--options', nargs='+', action=DictAction, help='arguments in dict')
args = parser.parse_args()
return args
def main():
args = parse_args()
cfg = Config.fromfile(args.config)
if args.options is not None:
cfg.merge_from_dict(args.options)
print(f'Config:\n{cfg.pretty_text}')
# dump config
cfg.dump('example.py')
if __name__ == '__main__':
main()