mirror of
https://github.com/JDAI-CV/fast-reid.git
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70 lines
1.9 KiB
Python
70 lines
1.9 KiB
Python
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# encoding: utf-8
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"""
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@author: sherlock
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@contact: sherlockliao01@gmail.com
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"""
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import sys
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sys.path.append('.')
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from fastreid.config import cfg
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from fastreid.engine import DefaultTrainer, default_argument_parser, default_setup
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from fastreid.evaluation import ReidEvaluator
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from fastreid.utils.checkpoint import Checkpointer
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class Trainer(DefaultTrainer):
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@classmethod
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def build_evaluator(cls, cfg, num_query, output_folder=None):
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# if output_folder is None:
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# output_folder = os.path.join(cfg.OUTPUT_DIR, "inference")
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return ReidEvaluator(cfg, num_query)
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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.merge_from_file(args.config_file)
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cfg.merge_from_list(args.opts)
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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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model = DefaultTrainer.build_model(cfg)
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Checkpointer(model, save_dir=cfg.OUTPUT_DIR).resume_or_load(
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cfg.MODEL.WEIGHTS, resume=args.resume
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)
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res = DefaultTrainer.test(cfg, model)
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return res
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trainer = Trainer(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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main(args)
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# log_save_dir = os.path.join(cfg.OUTPUT_DIR, cfg.DATASETS.TEST_NAMES, cfg.MODEL.VERSION)
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# if not os.path.exists(log_save_dir):
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# os.makedirs(log_save_dir)
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#
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# logger = setup_logger(cfg.MODEL.VERSION, log_save_dir, 0)
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# logger.info("Using {} GPUs.".format(num_gpus))
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# logger.info(args)
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#
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# if args.config_file != "":
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# logger.info("Loaded configuration file {}".format(args.config_file))
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# logger.info("Running with config:\n{}".format(cfg))
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#
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# logger.info('start training')
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# cudnn.benchmark = True
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