code: def get_voc_format_classes(root: str):
      """
      The all class names for VOC format data.
  
      Parameters
      ----------
      root
          The path to the root directory of VOC data.
  
      Returns
      -------
          All the class names.
      """
      if is_url(root):
          root = download(root)
      rpath = Path(root).expanduser()
  
      labels_file = os.path.join(rpath, "labels.txt")
      if os.path.exists(labels_file):
          with open(labels_file) as f:
              class_names = [line.rstrip().lower() for line in f]
          print(f"using class_names in labels.txt: {class_names}")
      else:
          ## read the class names and save results
          logger.warning(
              "labels.txt does not exist, using default VOC names. "
              "Creating labels.txt by scanning the directory: {}".format(
                  os.path.join(root, "Annotations")
              )
          )
          class_names = dump_voc_classes(
              voc_annotation_path=os.path.join(root, "Annotations"),
              voc_class_names_output_path=labels_file,
          )
  
      return class_names
  
imports: import json
  import logging
  import os
  import warnings
  from pathlib import Path
  from typing import Dict, Iterable, List, Optional, Union
  import defusedxml.ElementTree
  import numpy
  import pandas
  import PIL
  from torchmetrics.detection.mean_ap import MeanAveragePrecision
  from ..constants import BBOX, LABEL, MAP, MAP_50, MAP_75, MAP_LARGE, MAP_MEDIUM, MAP_SMALL, MAR_1, MAR_10, MAR_100, MAR_LARGE, MAR_MEDIUM, MAR_SMALL, MEAN_AVERAGE_PRECISION
  from .download import download, is_url
label_desc: Use image node_id 28 for calling a global function with example usage: get_voc_format_classes(root) and returns: class_names