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import argparse |
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import tempfile |
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from collections import OrderedDict |
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import torch |
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from mmengine import Config |
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def parse_config(config_strings): |
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temp_file = tempfile.NamedTemporaryFile() |
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config_path = f'{temp_file.name}.py' |
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with open(config_path, 'w') as f: |
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f.write(config_strings) |
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config = Config.fromfile(config_path) |
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if config.model.bbox_head.type != 'SSDHead': |
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raise AssertionError('This is not a SSD model.') |
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def convert(in_file, out_file): |
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checkpoint = torch.load(in_file) |
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in_state_dict = checkpoint.pop('state_dict') |
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out_state_dict = OrderedDict() |
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meta_info = checkpoint['meta'] |
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parse_config('#' + meta_info['config']) |
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for key, value in in_state_dict.items(): |
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if 'extra' in key: |
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layer_idx = int(key.split('.')[2]) |
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new_key = 'neck.extra_layers.{}.{}.conv.'.format( |
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layer_idx // 2, layer_idx % 2) + key.split('.')[-1] |
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elif 'l2_norm' in key: |
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new_key = 'neck.l2_norm.weight' |
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elif 'bbox_head' in key: |
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new_key = key[:21] + '.0' + key[21:] |
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else: |
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new_key = key |
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out_state_dict[new_key] = value |
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checkpoint['state_dict'] = out_state_dict |
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if torch.__version__ >= '1.6': |
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torch.save(checkpoint, out_file, _use_new_zipfile_serialization=False) |
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else: |
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torch.save(checkpoint, out_file) |
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def main(): |
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parser = argparse.ArgumentParser(description='Upgrade SSD version') |
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parser.add_argument('in_file', help='input checkpoint file') |
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parser.add_argument('out_file', help='output checkpoint file') |
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args = parser.parse_args() |
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convert(args.in_file, args.out_file) |
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if __name__ == '__main__': |
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main() |
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