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b/tools/print_config.py |
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# Copyright (c) OpenMMLab. All rights reserved. |
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import argparse |
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import warnings |
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from mmcv import Config, DictAction |
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from mmseg.apis import init_segmentor |
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def parse_args(): |
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parser = argparse.ArgumentParser(description='Print the whole config') |
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parser.add_argument('config', help='config file path') |
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parser.add_argument( |
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'--graph', action='store_true', help='print the models graph') |
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parser.add_argument( |
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'--options', |
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nargs='+', |
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action=DictAction, |
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help="--options is deprecated in favor of --cfg_options' and it will " |
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'not be supported in version v0.22.0. Override some settings in the ' |
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'used config, the key-value pair in xxx=yyy format will be merged ' |
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'into config file. If the value to be overwritten is a list, it ' |
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'should be like key="[a,b]" or key=a,b It also allows nested ' |
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'list/tuple values, e.g. key="[(a,b),(c,d)]" Note that the quotation ' |
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'marks are necessary and that no white space is allowed.') |
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parser.add_argument( |
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'--cfg-options', |
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nargs='+', |
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action=DictAction, |
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help='override some settings in the used config, the key-value pair ' |
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'in xxx=yyy format will be merged into config file. If the value to ' |
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'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' |
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'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' |
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'Note that the quotation marks are necessary and that no white space ' |
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'is allowed.') |
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args = parser.parse_args() |
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if args.options and args.cfg_options: |
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raise ValueError( |
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'--options and --cfg-options cannot be both ' |
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'specified, --options is deprecated in favor of --cfg-options. ' |
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'--options will not be supported in version v0.22.0.') |
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if args.options: |
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warnings.warn('--options is deprecated in favor of --cfg-options, ' |
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'--options will not be supported in version v0.22.0.') |
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args.cfg_options = args.options |
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return args |
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def main(): |
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args = parse_args() |
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cfg = Config.fromfile(args.config) |
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if args.cfg_options is not None: |
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cfg.merge_from_dict(args.cfg_options) |
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print(f'Config:\n{cfg.pretty_text}') |
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# dump config |
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cfg.dump('example.py') |
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# dump models graph |
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if args.graph: |
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model = init_segmentor(args.config, device='cpu') |
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print(f'Model graph:\n{str(model)}') |
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with open('example-graph.txt', 'w') as f: |
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f.writelines(str(model)) |
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if __name__ == '__main__': |
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main() |