code: def parse_args():
      parser = argparse.ArgumentParser(
          description="TVM exporter for directpose"
      )
      parser.add_argument(
          "--model-prefix", type=str, default="./compiled"
      )
      parser.add_argument("--use-gpu", type=int, default=1)
      parser.add_argument("--image-width", type=int, default=1280)
      parser.add_argument("--image-height", type=int, default=736)
      parser.add_argument("--score-threshold", type=float, default=0.5)
      parser.add_argument(
          "--visualize", type=int, default=1, help="enable visualizer"
      )
      parser.add_argument(
          "--save-output",
          type=str,
          default="visualize_output.png",
          help="Save visualize result to image",
      )
      parser.add_argument("--verbose", type=int, default=1)
      parser.add_argument("--export-dir", type=str, default="./")
      parser.add_argument(
          "--model-name",
          type=str,
          default="directpose_resnet50_lpf_fpn_coco",
          help="The pre-trained model name",
      )
      parser.add_argument(
          "--config-file",
          type=str,
          default="./configurations/ms_aa_resnet50_4x_syncbn.yaml",
          help="The config file for custom model, required if --model-name is not specified",
      )
      parser.add_argument(
          "opts",
          help="Modify config options using the command-line",
          default=None,
          nargs=argparse.REMAINDER,
      )
      args = parser.parse_args()
      return args
  
file_path: gluon-cv/scripts/pose/directpose/demo_directpose.py
imports: import os
  import argparse
  from gluoncv.torch import model_zoo
  from gluoncv.torch.engine.config import get_cfg_defaults
  from gluoncv.torch.utils.model_utils import download
  from gluoncv.torch.utils.visualizer import ColorMode, Visualizer
  from gluoncv.torch.data.registry.catalog import MetadataCatalog
  from PIL import Image
  from matplotlib import pyplot
  import numpy
  import torch
  import torchvision.transforms
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args