mirror of https://github.com/open-mmlab/mmyolo.git
89 lines
2.9 KiB
Python
89 lines
2.9 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import argparse
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from collections import OrderedDict
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import torch
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convert_dict_p5 = {
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'model.0': 'backbone.stem',
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'model.1': 'backbone.stage1.0',
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'model.2': 'backbone.stage1.1',
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'model.3': 'backbone.stage2.0',
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'model.4': 'backbone.stage2.1',
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'model.5': 'backbone.stage3.0',
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'model.6': 'backbone.stage3.1',
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'model.7': 'backbone.stage4.0',
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'model.8': 'backbone.stage4.1',
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'model.9': 'backbone.stage4.2',
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'model.10': 'neck.reduce_layers.2',
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'model.13': 'neck.top_down_layers.0.0',
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'model.14': 'neck.top_down_layers.0.1',
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'model.17': 'neck.top_down_layers.1',
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'model.18': 'neck.downsample_layers.0',
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'model.20': 'neck.bottom_up_layers.0',
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'model.21': 'neck.downsample_layers.1',
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'model.23': 'neck.bottom_up_layers.1',
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'model.24': 'bbox_head.head_module',
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}
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def convert(src, dst):
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"""Convert keys in pretrained YOLOv5u models to mmyolo style."""
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convert_dict = convert_dict_p5
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print('Converting P5 model')
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try:
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yolov5_model = torch.load(src)['model']
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blobs = yolov5_model.state_dict()
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except ModuleNotFoundError:
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raise RuntimeError(
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'This script must be placed under the ultralytics repo,'
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' because loading the official pretrained model need'
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' `model.py` to build model.')
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state_dict = OrderedDict()
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for key, weight in blobs.items():
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num, module = key.split('.')[1:3]
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prefix = f'model.{num}'
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new_key = key.replace(prefix, convert_dict[prefix])
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if '.m.' in new_key:
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new_key = new_key.replace('.m.', '.blocks.')
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new_key = new_key.replace('.cv', '.conv')
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elif 'bbox_head.head_module' in new_key:
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new_key = new_key.replace('.cv2', '.reg_preds')
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new_key = new_key.replace('.cv3', '.cls_preds')
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elif 'backbone.stage4.2' in new_key:
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new_key = new_key.replace('.cv', '.conv')
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else:
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new_key = new_key.replace('.cv1', '.main_conv')
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new_key = new_key.replace('.cv2', '.short_conv')
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new_key = new_key.replace('.cv3', '.final_conv')
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if 'bbox_head.head_module.dfl.conv.weight' == new_key:
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print('Drop "bbox_head.head_module.dfl.conv.weight", '
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'because it is useless')
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continue
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state_dict[new_key] = weight
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print(f'Convert {key} to {new_key}')
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# save checkpoint
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checkpoint = dict()
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checkpoint['state_dict'] = state_dict
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torch.save(checkpoint, dst)
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# Note: This script must be placed under the ultralytics repo to run.
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def main():
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parser = argparse.ArgumentParser(description='Convert model keys')
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parser.add_argument(
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'--src', default='yolov5su.pt', help='src yolov5u model path')
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parser.add_argument('--dst', default='mmyolov5su.pth', help='save path')
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args = parser.parse_args()
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convert(args.src, args.dst)
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if __name__ == '__main__':
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main()
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