code: def parse_args():
      import argparse
  
      parser = argparse.ArgumentParser(
          description="pytorch lraspp validation"
      )
  
      parser.add_argument(
          "--data-path", default="/data/", help="VOCdevkit root"
      )
      parser.add_argument(
          "--weights", default="./save_weights/model_29.pth"
      )
      parser.add_argument("--num-classes", default=20, type=int)
      parser.add_argument(
          "--device", default="cuda", help="training device"
      )
      parser.add_argument(
          "--print-freq", default=10, type=int, help="print frequency"
      )
  
      args = parser.parse_args()
  
      return args
  
file_path: deep-learning-for-image-processing/pytorch_segmentation/lraspp/validation.py
imports: import os
  import torch
  from src import lraspp_mobilenetv3_large
  from train_utils import evaluate
  from my_dataset import VOCSegmentation
  import transforms
label_desc: Use image node_id 2 for calling a global function with example usage: parse_args() and returns: args