49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import argparse
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import mmengine
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import rich
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from mmengine import Config, DictAction
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from mmengine.evaluator import Evaluator
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from mmengine.registry import init_default_scope
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def parse_args():
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parser = argparse.ArgumentParser(description='Evaluate metric of the '
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'results saved in pkl format')
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parser.add_argument('config', help='Config of the model')
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parser.add_argument('pkl_results', help='Results in pickle format')
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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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return args
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def main():
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args = parse_args()
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# load config
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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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init_default_scope('mmcls') # Use mmcls as default scope.
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predictions = mmengine.load(args.pkl_results)
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evaluator = Evaluator(cfg.test_evaluator)
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eval_results = evaluator.offline_evaluate(predictions, None)
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rich.print(eval_results)
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if __name__ == '__main__':
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main()
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