fast-reid/projects/StrongBaseline/train_net.py

# encoding: utf-8
"""
@author:  sherlock
@contact: sherlockliao01@gmail.com
"""

import sys

sys.path.append('../..')
from fastreid.config import get_cfg
from fastreid.engine import DefaultTrainer, default_argument_parser, default_setup
from fastreid.utils.checkpoint import Checkpointer

from non_linear_head import NonLinear


def setup(args):
    """
    Create configs and perform basic setups.
    """
    cfg = get_cfg()
    cfg.merge_from_file(args.config_file)
    cfg.merge_from_list(args.opts)
    cfg.freeze()
    default_setup(cfg, args)
    return cfg


def main(args):
    cfg = setup(args)

    if args.eval_only:
        model = DefaultTrainer.build_model(cfg)
        Checkpointer(model, save_dir=cfg.OUTPUT_DIR).resume_or_load(
            cfg.MODEL.WEIGHTS, resume=args.resume
        )
        res = DefaultTrainer.test(cfg, model)
        return res

    trainer = DefaultTrainer(cfg)
    # moco pretrain
    # import torch
    # state_dict = torch.load('logs/model_0109999.pth')['model_ema']
    # ret = trainer.model.module.load_state_dict(state_dict, strict=False)
    #
    trainer.resume_or_load(resume=args.resume)
    return trainer.train()


if __name__ == "__main__":
    args = default_argument_parser().parse_args()
    print("Command Line Args:", args)
    main(args)