code: def parse_args():
      import argparse
  
      parser = argparse.ArgumentParser(
          description="pytorch u2net validation"
      )
  
      parser.add_argument("--data-path", default="./", help="DUTS root")
      parser.add_argument("--weights", default="./u2net_full.pth")
      parser.add_argument(
          "--device", default="cuda:0", 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/u2net/validation.py
imports: import os
  from typing import Union, List
  import torch
  from torch.utils import data
  from src import u2net_full
  from train_utils import evaluate
  from my_dataset import DUTSDataset
  import transforms
label_desc: Use image node_id 2 for calling a global function with example usage: parse_args() and returns: args