[Feature] add high level reid training api #181
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OceanPang
reviewed
Jun 24, 2021
mmtrack/apis/train.py
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| @@ -32,6 +31,11 @@ def train_model(model, | |||
| """ | |||
| logger = get_root_logger(cfg.log_level) | |||
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| if cfg.get('USE_MMDET', False): | |||
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We can directly use the "build_dataset" in mmdet, do not need to turn to mmcls.
You can try to register the dataset into the "DATASET" in mmdet.
The same to your modifications below.
| from mmtrack.models import build_reid as build_model | ||
| from mmcls.datasets import build_dataset | ||
| if 'reid' in cfg.model: | ||
| cfg.model = cfg.model.reid |
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Simplify according to the comments above
OceanPang
approved these changes
Jun 27, 2021
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Hi~
This PR add the add high level reid training api.