code: def parse_args():
      parser = argparse.ArgumentParser(description="Model evaluation")
  
      # params of evaluate
      parser.add_argument(
          "--config",
          dest="cfg",
          help="The config file.",
          default=None,
          type=str,
      )
      parser.add_argument(
          "--model_path",
          dest="model_path",
          help="The path of model for evaluation",
          type=str,
          default=None,
      )
      parser.add_argument(
          "--num_workers",
          dest="num_workers",
          help="Num workers for data loader",
          type=int,
          default=0,
      )
  
      # augment for evaluation
      parser.add_argument(
          "--aug_eval",
          dest="aug_eval",
          help="Whether to use mulit-scales and flip augment for evaluation",
          action="store_true",
      )
      parser.add_argument(
          "--scales",
          dest="scales",
          nargs="+",
          help="Scales for augment",
          type=float,
          default=1.0,
      )
      parser.add_argument(
          "--flip_horizontal",
          dest="flip_horizontal",
          help="Whether to use flip horizontally augment",
          action="store_true",
      )
      parser.add_argument(
          "--flip_vertical",
          dest="flip_vertical",
          help="Whether to use flip vertically augment",
          action="store_true",
      )
  
      # sliding window evaluation
      parser.add_argument(
          "--is_slide",
          dest="is_slide",
          help="Whether to evaluate by sliding window",
          action="store_true",
      )
      parser.add_argument(
          "--crop_size",
          dest="crop_size",
          nargs=2,
          help="The crop size of sliding window, the first is width and the second is height.",
          type=int,
          default=None,
      )
      parser.add_argument(
          "--stride",
          dest="stride",
          nargs=2,
          help="The stride of sliding window, the first is width and the second is height.",
          type=int,
          default=None,
      )
  
      return parser.parse_args()
  
file_path: PaddleSeg/contrib/AutoNUE/val.py
imports: import argparse
  import os
  import paddle
  from paddleseg.cvlibs import manager, Config
  from core.val import evaluate
  from paddleseg.utils import get_sys_env, logger, utils
  import datasets, models
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser