code: def parse_args():
      parser = argparse.ArgumentParser(
          description="visualize errors for multiple object tracking"
      )
      parser.add_argument("config", help="path of the config file")
      parser.add_argument(
          "--result-dir", help="directory of the inference result"
      )
      parser.add_argument(
          "--output-dir",
          help="directory where painted images or videos will be saved",
      )
      parser.add_argument(
          "--show",
          action="store_true",
          help="whether to show the results on the fly",
      )
      parser.add_argument(
          "--fps", type=int, default=3, help="FPS of the output video"
      )
      parser.add_argument(
          "--backend",
          type=str,
          choices=["cv2", "plt"],
          default="cv2",
          help="backend of visualization",
      )
      args = parser.parse_args()
      return args
  
file_path: mmdetection/tools/analysis_tools/mot/mot_error_visualize.py
imports: import argparse
  import os
  import os.path
  import re
  import mmcv
  import motmetrics
  import numpy
  import pandas
  from mmengine import Config
  from mmengine.logging import print_log
  from mmengine.registry import init_default_scope
  from torch.utils.data import Dataset
  from mmdet.registry import DATASETS
  from mmdet.utils import imshow_mot_errors
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args