mirror of https://github.com/open-mmlab/mmyolo.git
111 lines
4.1 KiB
Python
111 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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neck_dict = {
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'backbone.lateral_conv0': 'neck.reduce_layers.2',
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'backbone.C3_p4.conv': 'neck.top_down_layers.0.0.cv',
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'backbone.C3_p4.m.0.': 'neck.top_down_layers.0.0.m.0.',
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'backbone.reduce_conv1': 'neck.top_down_layers.0.1',
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'backbone.C3_p3.conv': 'neck.top_down_layers.1.cv',
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'backbone.C3_p3.m.0.': 'neck.top_down_layers.1.m.0.',
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'backbone.bu_conv2': 'neck.downsample_layers.0',
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'backbone.C3_n3.conv': 'neck.bottom_up_layers.0.cv',
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'backbone.C3_n3.m.0.': 'neck.bottom_up_layers.0.m.0.',
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'backbone.bu_conv1': 'neck.downsample_layers.1',
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'backbone.C3_n4.conv': 'neck.bottom_up_layers.1.cv',
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'backbone.C3_n4.m.0.': 'neck.bottom_up_layers.1.m.0.',
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}
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def convert_stem(model_key, model_weight, state_dict, converted_names):
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new_key = model_key[9:]
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state_dict[new_key] = model_weight
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converted_names.add(model_key)
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print(f'Convert {model_key} to {new_key}')
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def convert_backbone(model_key, model_weight, state_dict, converted_names):
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new_key = model_key.replace('backbone.dark', 'stage')
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num = int(new_key[14]) - 1
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new_key = new_key[:14] + str(num) + new_key[15:]
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if '.m.' in model_key:
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new_key = new_key.replace('.m.', '.blocks.')
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elif not new_key[16] == '0' and 'stage4.1' not in new_key:
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new_key = new_key.replace('conv1', 'main_conv')
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new_key = new_key.replace('conv2', 'short_conv')
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new_key = new_key.replace('conv3', 'final_conv')
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state_dict[new_key] = model_weight
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converted_names.add(model_key)
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print(f'Convert {model_key} to {new_key}')
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def convert_neck(model_key, model_weight, state_dict, converted_names):
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for old, new in neck_dict.items():
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if old in model_key:
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new_key = model_key.replace(old, new)
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if '.m.' in model_key:
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new_key = new_key.replace('.m.', '.blocks.')
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elif '.C' in model_key:
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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] = model_weight
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converted_names.add(model_key)
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print(f'Convert {model_key} to {new_key}')
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def convert_head(model_key, model_weight, state_dict, converted_names):
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if 'stem' in model_key:
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new_key = model_key.replace('head.stem', 'neck.out_layer')
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elif 'cls_convs' in model_key:
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new_key = model_key.replace(
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'head.cls_convs', 'bbox_head.head_module.multi_level_cls_convs')
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elif 'reg_convs' in model_key:
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new_key = model_key.replace(
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'head.reg_convs', 'bbox_head.head_module.multi_level_reg_convs')
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elif 'preds' in model_key:
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new_key = model_key.replace('head.',
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'bbox_head.head_module.multi_level_conv_')
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new_key = new_key.replace('_preds', '')
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state_dict[new_key] = model_weight
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converted_names.add(model_key)
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print(f'Convert {model_key} to {new_key}')
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def convert(src, dst):
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"""Convert keys in detectron pretrained YOLOX models to mmyolo style."""
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blobs = torch.load(src)['model']
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state_dict = OrderedDict()
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converted_names = set()
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for key, weight in blobs.items():
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if 'backbone.stem' in key:
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convert_stem(key, weight, state_dict, converted_names)
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elif 'backbone.backbone' in key:
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convert_backbone(key, weight, state_dict, converted_names)
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elif 'backbone.neck' not in key and 'head' not in key:
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convert_neck(key, weight, state_dict, converted_names)
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elif 'head' in key:
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convert_head(key, weight, state_dict, converted_names)
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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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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='yolox_s.pth', help='src yolox model path')
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parser.add_argument('--dst', default='mmyoloxs.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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