code: def parse_args():
      parser = argparse.ArgumentParser(
          description="Test with CenterNet networks."
      )
      parser.add_argument(
          "--network",
          type=str,
          default="center_net_resnet18_v1b_coco",
          help="Network name",
      )
      parser.add_argument(
          "--images",
          type=str,
          default="",
          help="Test images, use comma to split multiple.",
      )
      parser.add_argument(
          "--gpus",
          type=str,
          default="",
          help="Training with GPUs, you can specify 1,3 for example.",
      )
      parser.add_argument(
          "--pretrained",
          type=str,
          default="True",
          help="Load weights from previously saved parameters.",
      )
      parser.add_argument(
          "--thresh",
          type=float,
          default=0.5,
          help="Threshold of object score when visualize the bboxes.",
      )
      args = parser.parse_args()
      return args
  
imports: import os
  import argparse
  import mxnet
  import gluoncv
  from gluoncv.data.transforms import presets
  from matplotlib import pyplot
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args