code: def parse_args():
      parser = argparse.ArgumentParser(
          description="Generate **labelTrainIds.png for training"
      )
      parser.add_argument(
          "--cityscapes_path",
          dest="cityscapes_path",
          help="cityscapes path",
          type=str,
      )
  
      parser.add_argument(
          "--num_workers",
          dest="num_workers",
          help="How many processes are used for data conversion",
          type=int,
          default=cpu_count(),
      )
      return parser.parse_args()
  
file_path: PaddleSeg/tools/data/convert_cityscapes.py
imports: import os
  import argparse
  from multiprocessing import Pool, cpu_count
  import glob
  from cityscapesscripts.preparation.json2labelImg import json2labelImg
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser