code: def parse_args():
      parser = argparse.ArgumentParser(
          description="Convert potsdam dataset to mmsegmentation format"
      )
      parser.add_argument("dataset_path", help="potsdam folder path")
      parser.add_argument(
          "--tmp_dir", help="path of the temporary directory"
      )
      parser.add_argument("-o", "--out_dir", help="output path")
      parser.add_argument(
          "--clip_size",
          type=int,
          help="clipped size of image after preparation",
          default=512,
      )
      parser.add_argument(
          "--stride_size",
          type=int,
          help="stride of clipping original images",
          default=256,
      )
      args = parser.parse_args()
      return args
  
file_path: PaddleSeg/contrib/RSSegBenchmark/data/prepare_potsdam.py
imports: import argparse
  import glob
  import math
  import os
  import os.path
  import tempfile
  import zipfile
  import cv2
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args