code: def write_object_labels_csv(file, labeled_data):
      # write a csv file
      print("[dataset] write file %s" % file)
      with open(file, "w") as csvfile:
          fieldnames = ["name"]
          fieldnames.extend(object_categories)
          writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
  
          writer.writeheader()
          for name, labels in labeled_data.items():
              example = {"name": name}
              for i in range(20):
                  example[fieldnames[i + 1]] = int(labels[i])
              writer.writerow(example)
  
      csvfile.close()
  
imports: from __future__ import print_function, division, absolute_import
  import csv
  import os
  import os.path
  import tarfile
  from six.moves.urllib.parse import urlparse
  import numpy
  import torch
  import torch.utils.data
  from PIL import Image
  from .None import utils
label_desc: Use image node_id 3 for calling a global function with example usage: write_object_labels_csv(file, labeled_data) without return types