mirror of https://github.com/JDAI-CV/fast-reid.git
61 lines
1.4 KiB
Python
61 lines
1.4 KiB
Python
# -*- coding: utf-8 -*-
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# @Time : 2021/10/11 10:12:28
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# @Author : zuchen.wang@vipshop.com
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# @File : train_net.py.py
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import json
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import os
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import sys
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sys.path.append('.')
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from fastreid.config import get_cfg
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from fastreid.engine import default_argument_parser, default_setup, launch
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from fastreid.utils.checkpoint import Checkpointer
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from fastreid.utils import bughook
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from fastshoe import PairTrainer
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def setup(args):
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"""
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Create configs and perform basic setups.
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"""
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cfg = get_cfg()
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cfg.merge_from_file(args.config_file)
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cfg.merge_from_list(args.opts)
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setattr(cfg, 'eval_only', args.eval_only)
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cfg.freeze()
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default_setup(cfg, args)
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return cfg
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def main(args):
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cfg = setup(args)
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if args.eval_only:
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cfg.defrost()
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cfg.MODEL.BACKBONE.PRETRAIN = False
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model = PairTrainer.build_model(cfg)
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Checkpointer(model).load(cfg.MODEL.WEIGHTS) # load trained model
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res = PairTrainer.test(cfg, model)
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return res
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else:
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trainer = PairTrainer(cfg)
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trainer.resume_or_load(resume=args.resume)
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return trainer.train()
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if __name__ == "__main__":
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args = default_argument_parser().parse_args()
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print("Command Line Args:", args)
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launch(
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main,
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args.num_gpus,
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num_machines=args.num_machines,
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machine_rank=args.machine_rank,
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dist_url=args.dist_url,
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args=(args,),
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)
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