code: def argsparser():
      parser = argparse.ArgumentParser("STFPM")
      parser.add_argument(
          "--config",
          type=str,
          default=None,
          help="Path of config",
          required=True,
      )
      parser.add_argument("--device", type=str, default=None)
      parser.add_argument("--seed", type=int, default=None)
      parser.add_argument("--save_path", type=str, default=None)
      parser.add_argument(
          "--img_path", type=str, default=None, help="picture path"
      )
      parser.add_argument("--resize", type=list, default=None)
      parser.add_argument("--backbone", type=str, default=None)
      parser.add_argument(
          "--model_path",
          type=str,
          default=None,
          help="student model_path",
      )
      parser.add_argument("--category", type=str, default=None)
      parser.add_argument("--threshold", type=float, default=None)
      parser.add_argument("--save_pic", type=bool, default=None)
  
      return parser.parse_args()
  
file_path: PaddleSeg/contrib/QualityInspector/tools/uad/stfpm/predict.py
imports: import os
  import sys
  import random
  import datetime
  import argparse
  import numpy
  from PIL import Image
  import paddle
  import paddle.nn.functional
  from paddle.vision import transforms
  from qinspector.uad.models.stfpm import ResNet_MS3
  from qinspector.cvlib.uad_configs import ConfigParser
  from qinspector.uad.utils.utils import plot_fig
label_desc: Use image node_id 1 for calling a global function with example usage: argsparser() and returns: parser