mirror of https://github.com/JDAI-CV/fast-reid.git
65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
# encoding: utf-8
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"""
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@author: l1aoxingyu
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@contact: sherlockliao01@gmail.com
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"""
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import argparse
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import os
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import sys
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import torch
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from torch.backends import cudnn
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sys.path.append('.')
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from config import cfg
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from data import get_test_dataloader
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from data import get_dataloader
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from engine.inference import inference
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from modeling import build_model
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from utils.logger import setup_logger
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def main():
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parser = argparse.ArgumentParser(description="ReID Baseline Inference")
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parser.add_argument('-cfg',
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"--config_file", default="", help="path to config file", type=str
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)
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parser.add_argument("opts", help="Modify config options using the command-line", default=None,
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nargs=argparse.REMAINDER)
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args = parser.parse_args()
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num_gpus = int(os.environ["WORLD_SIZE"]) if "WORLD_SIZE" in os.environ else 1
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if args.config_file != "":
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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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# set pretrian = False to avoid loading weight repeatedly
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cfg.MODEL.PRETRAIN = False
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cfg.freeze()
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logger = setup_logger("reid_baseline", False, 0)
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logger.info("Using {} GPUS".format(num_gpus))
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logger.info(args)
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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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cudnn.benchmark = True
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train_dataloader, test_dataloader, num_query = get_test_dataloader(cfg)
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# test_dataloader, num_query = get_test_dataloader(cfg)
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model = build_model(cfg, 0)
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model = model.cuda()
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model.load_params_wo_fc(torch.load(cfg.TEST.WEIGHT))
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inference(cfg, model, train_dataloader, test_dataloader, num_query)
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if __name__ == '__main__':
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main()
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