def METHOD_NAME():
    parser = ArgsParser()
    parser.add_argument(
        "--output_eval",
        default=None,
        type=str,
        help="Evaluation directory, default is current directory.")
    parser.add_argument(
        '--json_eval',
        action='store_true',
        default=False,
        help='Whether to re eval with already exists bbox.json or mask.json')
    parser.add_argument(
        "--slim_config",
        default=None,
        type=str,
        help="Configuration file of slim method.")
    # TODO: bias should be unified
    parser.add_argument(
        "--bias",
        action="store_true",
        help="whether add bias or not while getting w and h")
    parser.add_argument(
        "--classwise",
        action="store_true",
        help="whether per-category AP and draw P-R Curve or not.")
    parser.add_argument(
        '--save_prediction_only',
        action='store_true',
        default=False,
        help='Whether to save the evaluation results only')
    parser.add_argument(
        "--amp",
        action='store_true',
        default=False,
        help="Enable auto mixed precision eval.")
    # for smalldet slice_infer
    parser.add_argument(
        "--slice_infer",
        action='store_true',
        help="Whether to slice the image and merge the inference results for small object detection."
    )
    parser.add_argument(
        '--slice_size',
        nargs='+',
        type=int,
        default=[640, 640],
        help="Height of the sliced image.")
    parser.add_argument(
        "--overlap_ratio",
        nargs='+',
        type=float,
        default=[0.25, 0.25],
        help="Overlap height ratio of the sliced image.")
    parser.add_argument(
        "--combine_method",
        type=str,
        default='nms',
        help="Combine method of the sliced images' detection results, choose in ['nms', 'nmm', 'concat']."
    )
    parser.add_argument(
        "--match_threshold",
        type=float,
        default=0.6,
        help="Combine method matching threshold.")
    parser.add_argument(
        "--match_metric",
        type=str,
        default='ios',
        help="Combine method matching metric, choose in ['iou', 'ios'].")
    args = parser.METHOD_NAME()
    return args