# Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. 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()