code: def arg_parser(self):
      parser = argparse.ArgumentParser(
          description="Run the %s module." % self.name,
          prog="hub run %s" % self.name,
          usage="%(prog)s",
          add_help=True,
      )
  
      parser.add_argument(
          "--input_path",
          type=str,
          default=None,
          help="diretory to image. Required.",
          required=True,
      )
      parser.add_argument(
          "--use_gpu",
          type=ast.literal_eval,
          default=False,
          help="whether use GPU or not",
      )
      parser.add_argument(
          "--output_dir",
          type=str,
          default="ocr_result",
          help="The directory to save output images.",
      )
      parser.add_argument(
          "--visualization",
          type=ast.literal_eval,
          default=False,
          help="whether to save output as images.",
      )
      parser.add_argument(
          "--lang",
          type=str,
          default=None,
          help="the selection of languages",
      )
      parser.add_argument(
          "--det",
          type=ast.literal_eval,
          default=True,
          help="whether use text detector or not",
      )
      parser.add_argument(
          "--rec",
          type=ast.literal_eval,
          default=True,
          help="whether use text recognizer or not",
      )
      parser.add_argument(
          "--use_angle_cls",
          type=ast.literal_eval,
          default=False,
          help="whether text orientation classifier or not",
      )
      parser.add_argument(
          "--enable_mkldnn",
          type=ast.literal_eval,
          default=False,
          help="whether use mkldnn or not",
      )
      parser.add_argument(
          "--box_thresh",
          type=float,
          default=0.6,
          help="set the threshold of the detected text box's confidence",
      )
      parser.add_argument(
          "--angle_classification_thresh",
          type=float,
          default=0.9,
          help="set the threshold of the angle classification confidence",
      )
  
      return parser
  
file_path: PaddleHub/modules/image/text_recognition/multi_languages_ocr_db_crnn/module.py
imports: import argparse
  import os
  import ast
  import paddle
  import paddle.static
  import paddle2onnx
  import paddle2onnx
  from paddleocr import PaddleOCR
  from paddleocr.ppocr.utils.logging import get_logger
  from paddleocr.tools.infer.utility import base64_to_cv2
  from paddlehub.module.module import moduleinfo, runnable, serving
  from .utils import read_images, save_result_image, mkdir
label_desc: Use image node_id 5 for calling the MultiLangOCR obj's underlying member method code with example usage: obj.arg_parser() and returns: parser