code: def parse_args():
      parser = argparse.ArgumentParser(description="Test")
      parser.add_argument(
          "--config",
          dest="cfg",
          help="The config file.",
          default=None,
          type=str,
      )
      parser.add_argument(
          "--image_path",
          dest="image_path",
          help="The directory or path or file list of the images to be predicted.",
          type=str,
          default=None,
      )
      parser.add_argument(
          "--save_dir",
          dest="save_dir",
          help="The directory for saving the predict result.",
          type=str,
          default="./output",
      )
      parser.add_argument(
          "--cpu_threads",
          default=10,
          type=int,
          help="Number of threads to predict when using cpu.",
      )
      parser.add_argument(
          "--enable_mkldnn",
          default=False,
          type=eval,
          choices=[True, False],
          help="Enable to use mkldnn to speed up when using cpu.",
      )
      parser.add_argument(
          "--use_cpu",
          dest="use_cpu",
          help="Whether to use X86 CPU for inference. Uses GPU in default.",
          action="store_false",
      )
  
      parser.add_argument(
          "--print_detail",
          dest="print_detail",
          help="Print GLOG information of Paddle Inference.",
          action="store_false",
      )
  
      return parser.parse_args()
  
imports: import argparse
  import codecs
  import os
  import sys
  import cv2
  import yaml
  import numpy
  import paddle
  from paddle.inference import create_predictor, PrecisionType
  from paddle.inference import Config
  from paddleseg.cvlibs import manager
  from paddleseg.utils import get_sys_env, logger, get_image_list
  from third_party import tusimple_processor
  import paddleseg.transforms.transforms
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser