def METHOD_NAME():
    parser = ArgsParser()
    parser.add_argument(
        "--config",
        type=str,
        default='pipeline/config/infer_cfg_ppvehicle.yml',
        help=("Path of configure"))
    parser.add_argument(
        "--image_file", type=str, default=None, help="Path of image file.")
    parser.add_argument(
        "--image_dir",
        type=str,
        default=None,
        help="Dir of image file, `image_file` has a higher priority.")
    parser.add_argument(
        "--video_file",
        type=str,
        default=None,
        help="Path of video file, `video_file` or `camera_id` has a highest priority."
    )
    parser.add_argument(
        "--video_dir",
        type=str,
        default=None,
        help="Dir of video file, `video_file` has a higher priority.")
    parser.add_argument(
        "--rtsp",
        type=str,
        nargs='+',
        default=None,
        help="list of rtsp inputs, for one or multiple rtsp input.")
    parser.add_argument(
        "--camera_id",
        type=int,
        default=-1,
        help="device id of camera to predict.")
    parser.add_argument(
        "--output_dir",
        type=str,
        default="output",
        help="Directory of output visualization files.")
    parser.add_argument(
        "--pushurl",
        type=str,
        default="",
        help="url of output visualization stream.")
    parser.add_argument(
        "--run_mode",
        type=str,
        default='paddle',
        help="mode of running(paddle/trt_fp32/trt_fp16/trt_int8)")
    parser.add_argument(
        "--device",
        type=str,
        default='cpu',
        help="Choose the device you want to run, it can be: CPU/GPU/XPU, default is CPU."
    )
    parser.add_argument(
        "--enable_mkldnn",
        type=ast.literal_eval,
        default=False,
        help="Whether use mkldnn with CPU.")
    parser.add_argument(
        "--cpu_threads", type=int, default=1, help="Num of threads with CPU.")
    parser.add_argument(
        "--trt_min_shape", type=int, default=1, help="min_shape for TensorRT.")
    parser.add_argument(
        "--trt_max_shape",
        type=int,
        default=1280,
        help="max_shape for TensorRT.")
    parser.add_argument(
        "--trt_opt_shape",
        type=int,
        default=640,
        help="opt_shape for TensorRT.")
    parser.add_argument(
        "--trt_calib_mode",
        type=bool,
        default=False,
        help="If the model is produced by TRT offline quantitative "
        "calibration, trt_calib_mode need to set True.")
    parser.add_argument(
        "--do_entrance_counting",
        action='store_true',
        help="Whether counting the numbers of identifiers entering "
        "or getting out from the entrance. Note that only support single-class MOT."
    )
    parser.add_argument(
        "--do_break_in_counting",
        action='store_true',
        help="Whether counting the numbers of identifiers break in "
        "the area. Note that only support single-class MOT and "
        "the video should be taken by a static camera.")
    parser.add_argument(
        "--illegal_parking_time",
        type=int,
        default=-1,
        help="illegal parking time which units are seconds, default is -1 which means not recognition illegal parking"
    )
    parser.add_argument(
        "--region_type",
        type=str,
        default='horizontal',
        help="Area type for entrance counting or break in counting, 'horizontal' and "
        "'vertical' used when do entrance counting. 'custom' used when do break in counting. "
        "Note that only support single-class MOT, and the video should be taken by a static camera."
    )
    parser.add_argument(
        '--region_polygon',
        nargs='+',
        type=int,
        default=[],
        help="Clockwise point coords (x0,y0,x1,y1...) of polygon of area when "
        "do_break_in_counting. Note that only support single-class MOT and "
        "the video should be taken by a static camera.")
    parser.add_argument(
        "--secs_interval",
        type=int,
        default=2,
        help="The seconds interval to count after tracking")
    parser.add_argument(
        "--draw_center_traj",
        action='store_true',
        help="Whether drawing the trajectory of center")
    return parser