def main()

in train_net.py [0:0]


def main(args):
    cfg = setup(args)
    if cfg.SEMISUPNET.Trainer == "ubteacher":
        Trainer = UBTeacherTrainer
    elif cfg.SEMISUPNET.Trainer == "baseline":
        Trainer = BaselineTrainer
    else:
        raise ValueError("Trainer Name is not found.")

    if args.eval_only:
        if cfg.SEMISUPNET.Trainer == "ubteacher":
            model = Trainer.build_model(cfg)
            model_teacher = Trainer.build_model(cfg)
            ensem_ts_model = EnsembleTSModel(model_teacher, model)

            DetectionCheckpointer(
                ensem_ts_model, save_dir=cfg.OUTPUT_DIR
            ).resume_or_load(cfg.MODEL.WEIGHTS, resume=args.resume)
            res = Trainer.test(cfg, ensem_ts_model.modelTeacher)

        else:
            model = Trainer.build_model(cfg)
            DetectionCheckpointer(model, save_dir=cfg.OUTPUT_DIR).resume_or_load(
                cfg.MODEL.WEIGHTS, resume=args.resume
            )
            res = Trainer.test(cfg, model)
        return res

    trainer = Trainer(cfg)
    trainer.resume_or_load(resume=args.resume)

    return trainer.train()