def METHOD_NAME():
    parser_craft = argparse.ArgumentParser(description='CRAFT Text Detection')
    parser_craft.add_argument('--craft_trained_model', default='weights/craft_mlt_25k.pth', type=str, help='pretrained model')
    parser_craft.add_argument('--text_threshold', default=0.7, type=float, help='text confidence threshold')
    parser_craft.add_argument('--low_text', default=0.4, type=float, help='text low-bound score')
    parser_craft.add_argument('--link_threshold', default=0.4, type=float, help='link confidence threshold')
    parser_craft.add_argument('--cuda', default=False, type=str2bool, help='Use cuda for inference')
    parser_craft.add_argument('--canvas_size', default=1280, type=int, help='image size for inference')
    parser_craft.add_argument('--mag_ratio', default=1.5, type=float, help='image magnification ratio')
    parser_craft.add_argument('--poly', default=False, action='store_true', help='enable polygon type')
    parser_craft.add_argument('--show_time', default=False, action='store_true', help='show processing time')
    parser_craft.add_argument('--test_folder', default='/data/', type=str, help='folder path to input images')
    parser_craft.add_argument('--refine', default=False, action='store_true', help='enable link refiner')
    parser_craft.add_argument('--refiner_model', default='weights/craft_refiner_CTW1500.pth', type=str,
                              help='pretrained refiner model')
    parser_craft.add_argument('--image_path', required=True , type=str,
                              help='image file path')
    args = parser_craft.parse_args()
    # args.trained_model = '/home_hongdo/sungeun.kim/checkpoints/ocr/ocr_trai/craft_mlt_25k.pth'
    return args