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- # Copyright (c) OpenMMLab. All rights reserved.
- import argparse
- import os
- import os.path as osp
- from mmengine.config import Config, DictAction
- from mmengine.model import is_model_wrapper
- from mmengine.registry import RUNNERS
- from mmengine.runner import Runner
- from mmengine.runner.checkpoint import load_checkpoint
- from mmdet.utils import register_all_modules
- # TODO: support fuse_conv_bn, visualization, and format_only
- def parse_args():
- parser = argparse.ArgumentParser(
- description='MMTrack test (and eval) a model')
- parser.add_argument('config', help='test config file path')
- parser.add_argument('--checkpoint', help='checkpoint file')
- parser.add_argument('--detector', help='detection checkpoint file')
- parser.add_argument('--reid', help='reid checkpoint file')
- parser.add_argument(
- '--work-dir',
- help='the directory to save the file containing evaluation metrics')
- parser.add_argument(
- '--cfg-options',
- nargs='+',
- action=DictAction,
- help='override some settings in the used config, the key-value pair '
- 'in xxx=yyy format will be merged into config file. If the value to '
- 'be overwritten is a list, it should be like key="[a,b]" or key=a,b '
- 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" '
- 'Note that the quotation marks are necessary and that no white space '
- 'is allowed.')
- parser.add_argument(
- '--launcher',
- choices=['none', 'pytorch', 'slurm', 'mpi'],
- default='none',
- help='job launcher')
- parser.add_argument('--local-rank', type=int, default=0)
- args = parser.parse_args()
- if 'LOCAL_RANK' not in os.environ:
- os.environ['LOCAL_RANK'] = str(args.local_rank)
- return args
- def main():
- args = parse_args()
- # register all modules in mmtrack into the registries
- # do not init the default scope here because it will be init in the runner
- register_all_modules(init_default_scope=False)
- # load config
- cfg = Config.fromfile(args.config)
- cfg.launcher = args.launcher
- if args.cfg_options is not None:
- cfg.merge_from_dict(args.cfg_options)
- # work_dir is determined in this priority: CLI > segment in file > filename
- if args.work_dir is not None:
- # update configs according to CLI args if args.work_dir is not None
- cfg.work_dir = args.work_dir
- elif cfg.get('work_dir', None) is None:
- # use config filename as default work_dir if cfg.work_dir is None
- cfg.work_dir = osp.join('./work_dirs',
- osp.splitext(osp.basename(args.config))[0])
- cfg.load_from = args.checkpoint
- # build the runner from config
- if 'runner_type' not in cfg:
- # build the default runner
- runner = Runner.from_cfg(cfg)
- else:
- # build customized runner from the registry
- # if 'runner_type' is set in the cfg
- runner = RUNNERS.build(cfg)
- if is_model_wrapper(runner.model):
- model = runner.model.module
- else:
- model = runner.model
- if args.detector:
- assert not (args.checkpoint and args.detector), \
- 'Error: checkpoint and detector checkpoint cannot both exist'
- load_checkpoint(model.detector, args.detector)
- if args.reid:
- assert not (args.checkpoint and args.reid), \
- 'Error: checkpoint and reid checkpoint cannot both exist'
- load_checkpoint(model.reid, args.reid)
- # start testing
- runner.test()
- if __name__ == '__main__':
- main()
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