mirror of https://github.com/open-mmlab/mmyolo.git
123 lines
4.1 KiB
Python
123 lines
4.1 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.cv1': 'backbone.stage4.2.conv1',
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'model.9.cv2': 'backbone.stage4.2.conv2',
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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.m': 'bbox_head.head_module.convs_pred',
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}
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convert_dict_p6 = {
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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.stage5.0',
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'model.10': 'backbone.stage5.1',
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'model.11.cv1': 'backbone.stage5.2.conv1',
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'model.11.cv2': 'backbone.stage5.2.conv2',
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'model.12': 'neck.reduce_layers.3',
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'model.15': 'neck.top_down_layers.0.0',
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'model.16': 'neck.top_down_layers.0.1',
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'model.19': 'neck.top_down_layers.1.0',
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'model.20': 'neck.top_down_layers.1.1',
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'model.23': 'neck.top_down_layers.2',
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'model.24': 'neck.downsample_layers.0',
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'model.26': 'neck.bottom_up_layers.0',
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'model.27': 'neck.downsample_layers.1',
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'model.29': 'neck.bottom_up_layers.1',
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'model.30': 'neck.downsample_layers.2',
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'model.32': 'neck.bottom_up_layers.2',
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'model.33.m': 'bbox_head.head_module.convs_pred',
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}
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def convert(src, dst):
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"""Convert keys in pretrained YOLOv5 models to mmyolo style."""
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if src.endswith('6.pt'):
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convert_dict = convert_dict_p6
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is_p6_model = True
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print('Converting P6 model')
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else:
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convert_dict = convert_dict_p5
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is_p6_model = False
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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/yolov5 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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if (is_p6_model and
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(num == '11' or num == '33')) or (not is_p6_model and
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(num == '9' or num == '24')):
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if module == 'anchors':
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continue
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prefix = f'model.{num}.{module}'
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else:
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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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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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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 yolov5 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='yolov5s.pt', help='src yolov5 model path')
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parser.add_argument('--dst', default='mmyolov5s.pt', 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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