INNER CODE UNIT · Python

main

dailenson/SDT · train.py:11

def main(opt):
    """ load config file into cfg"""
    cfg_from_file(opt.cfg_file)
    assert_and_infer_cfg()
    """fix the random seed"""
    fix_seed(cfg.TRAIN.SEED)
    """ prepare log file """
    logs = set_log(cfg.OUTPUT_DIR, opt.cfg_file, opt.log_name)
    """ set dataset"""
    train_dataset = ScriptDataset(
        cfg.DATA_LOADER.PATH, cfg.DATA_LOADER.DATASET, cfg.TRAIN.ISTRAIN, cfg.MODEL.NUM_IMGS)
    print('number of training images: ', len(train_dataset))
    train_loader = torch.utils.data.DataLoader(train_dataset,
                                               batch_size=cfg.TRAIN.IMS_PER_BATCH,
                                               shuffle=True,
                                               drop_last=False,
                                               collate_fn=train_dataset.collate_fn_,
                                               num_workers=cfg.DATA_LOADER.NUM_THREADS)

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