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Python cfg.merge_from_file方法代碼示例

本文整理匯總了Python中config.cfg.merge_from_file方法的典型用法代碼示例。如果您正苦於以下問題:Python cfg.merge_from_file方法的具體用法?Python cfg.merge_from_file怎麽用?Python cfg.merge_from_file使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在config.cfg的用法示例。


在下文中一共展示了cfg.merge_from_file方法的3個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: main

# 需要導入模塊: from config import cfg [as 別名]
# 或者: from config.cfg import merge_from_file [as 別名]
def main():
    parser = argparse.ArgumentParser(description="ReID Baseline Training")
    parser.add_argument(
        "--config_file", default="./configs/tiger.yml", help="path to config file", type=str
    )
    parser.add_argument("opts", help="Modify config options using the command-line", default=None,
                        nargs=argparse.REMAINDER)
    parser.add_argument("--index_flod", help="Index of k-flod", default=3, type=int)                         #k-flod

    args = parser.parse_args()

    num_gpus = int(os.environ["WORLD_SIZE"]) if "WORLD_SIZE" in os.environ else 1

    if args.config_file != "":
        cfg.merge_from_file(args.config_file)
    cfg.merge_from_list(args.opts)
    cfg.DATASETS.INDEX_FLOD = args.index_flod
    cfg.freeze()

    output_dir = cfg.OUTPUT_DIR
    if output_dir and not os.path.exists(output_dir):
        os.makedirs(output_dir)

    logger = setup_logger("reid_baseline", output_dir, 0)
    logger.info("Using {} GPUS".format(num_gpus))
    logger.info(args)

    if args.config_file != "":
        logger.info("Loaded configuration file {}".format(args.config_file))
        with open(args.config_file, 'r') as cf:
            config_str = "\n" + cf.read()
            logger.info(config_str)
    logger.info("Running with config:\n{}".format(cfg))

    if cfg.MODEL.DEVICE == "cuda":
        os.environ['CUDA_VISIBLE_DEVICES'] = cfg.MODEL.DEVICE_ID    # new add by gu
    cudnn.benchmark = True
    train(cfg) 
開發者ID:LcenArthas,項目名稱:CVWC2019-Amur-Tiger-Re-ID,代碼行數:40,代碼來源:train.py

示例2: train

# 需要導入模塊: from config import cfg [as 別名]
# 或者: from config.cfg import merge_from_file [as 別名]
def train(args):
    if args.config_file != "":
        cfg.merge_from_file(args.config_file)
    cfg.merge_from_list(args.opts)
    cfg.freeze()

    output_dir = cfg.OUTPUT_DIR
    if output_dir and not os.path.exists(output_dir):
        os.makedirs(output_dir)
    shutil.copy(args.config_file, cfg.OUTPUT_DIR)

    num_gpus = torch.cuda.device_count()

    logger = setup_logger('reid_baseline', output_dir, 0)
    logger.info('Using {} GPUS'.format(num_gpus))
    logger.info(args)
    logger.info('Running with config:\n{}'.format(cfg))

    train_dl, val_dl, num_query, num_classes = make_dataloader(cfg, num_gpus) 

    model = build_model(cfg, num_classes)

    loss_func = make_loss(cfg, num_classes)

    trainer = BaseTrainer(cfg, model, train_dl, val_dl,
                          loss_func, num_query, num_gpus)

    for epoch in range(trainer.epochs):
        for batch in trainer.train_dl:
            trainer.step(batch)
            trainer.handle_new_batch()
        trainer.handle_new_epoch() 
開發者ID:DTennant,項目名稱:reid_baseline_with_syncbn,代碼行數:34,代碼來源:main.py

示例3: main

# 需要導入模塊: from config import cfg [as 別名]
# 或者: from config.cfg import merge_from_file [as 別名]
def main():
    parser = argparse.ArgumentParser(description="ReID Baseline Inference")
    parser.add_argument(
        "--config_file", default="", help="path to config file", type=str
    )
    parser.add_argument("opts", help="Modify config options using the command-line", default=None,
                        nargs=argparse.REMAINDER)

    args = parser.parse_args()

    num_gpus = int(os.environ["WORLD_SIZE"]) if "WORLD_SIZE" in os.environ else 1

    if args.config_file != "":
        cfg.merge_from_file(args.config_file)
    cfg.merge_from_list(args.opts)
    cfg.freeze()

    output_dir = cfg.OUTPUT_DIR
    if output_dir and not os.path.exists(output_dir):
        mkdir(output_dir)

    logger = setup_logger("reid_baseline", output_dir, 0)
    logger.info("Using {} GPUS".format(num_gpus))
    logger.info(args)

    if args.config_file != "":
        logger.info("Loaded configuration file {}".format(args.config_file))
        with open(args.config_file, 'r') as cf:
            config_str = "\n" + cf.read()
            logger.info(config_str)
    logger.info("Running with config:\n{}".format(cfg))

    if cfg.MODEL.DEVICE == "cuda":
        os.environ['CUDA_VISIBLE_DEVICES'] = cfg.MODEL.DEVICE_ID
    cudnn.benchmark = True

    train_loader, val_loader, num_query, num_classes = make_data_loader(cfg)
    model = build_model(cfg, num_classes)
    model.load_param(cfg.TEST.WEIGHT)

    inference(cfg, model, val_loader, num_query) 
開發者ID:LcenArthas,項目名稱:CVWC2019-Amur-Tiger-Re-ID,代碼行數:43,代碼來源:test.py


注:本文中的config.cfg.merge_from_file方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。