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76 lines
2.2 KiB
Python
Executable File
76 lines
2.2 KiB
Python
Executable File
import argparse
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import torch
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from mmcv import Config
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from mmdet.models import build_detector
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try:
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from mmcv.cnn import get_model_complexity_info
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except ImportError:
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raise ImportError('Please upgrade mmcv to >0.6.2')
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def parse_args():
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parser = argparse.ArgumentParser(description='Train a detector')
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parser.add_argument('config', help='train config file path')
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parser.add_argument(
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'--shape',
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type=int,
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nargs='+',
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#default=[1280, 800],
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default=[640, 640],
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help='input image size')
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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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if len(args.shape) == 1:
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input_shape = (3, args.shape[0], args.shape[0])
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elif len(args.shape) == 2:
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input_shape = (3, ) + tuple(args.shape)
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else:
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raise ValueError('invalid input shape')
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cfg = Config.fromfile(args.config)
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# import modules from string list.
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if cfg.get('custom_imports', None):
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from mmcv.utils import import_modules_from_strings
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import_modules_from_strings(**cfg['custom_imports'])
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model = build_detector(
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cfg.model, train_cfg=cfg.train_cfg, test_cfg=cfg.test_cfg)
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if torch.cuda.is_available():
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model.cuda()
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model.eval()
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#print(model.bbox_head)
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if hasattr(model, 'forward_dummy'):
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model.forward = model.forward_dummy
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else:
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raise NotImplementedError(
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'FLOPs counter is currently not currently supported with {}'.
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format(model.__class__.__name__))
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#flops, params = get_model_complexity_info(model, input_shape)
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flops, params = get_model_complexity_info(model, input_shape, print_per_layer_stat=True, as_strings=False)
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flops += model.bbox_head.extra_flops
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flops *= 0.75
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split_line = '=' * 30
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print('ON VGA:')
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print(flops/1e9, 'G')
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print(params/1e6, 'M')
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#print(f'{split_line}\nInput shape: {input_shape}\n'
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# f'Flops: {flops}\nParams: {params}\n{split_line}')
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#print('!!!Please be cautious if you use the results in papers. '
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# 'You may need to check if all ops are supported and verify that the '
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# 'flops computation is correct.')
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if __name__ == '__main__':
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main()
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