code: def lookup_imagenet_labels(indices):
      """Utility function to return the image net label for the final `dense` layer output index.
  
      Args:
          indices: Could be a single value or an array of indices whose labels should be looked up.
  
      Returns:
          Image net label corresponding to the image category.
      """
      global _CLASS_INDEX
      if _CLASS_INDEX is None:
          with open(
              os.path.join(
                  os.path.dirname(__file__),
                  "../../resources/imagenet_class_index.json",
              )
          ) as f:
              _CLASS_INDEX = json.load(f)
  
      indices = listify(indices)
      return [_CLASS_INDEX[str(idx)][1] for idx in indices]
  
imports: from __future__ import absolute_import
  from __future__ import division
  import os
  import tempfile
  import math
  import json
  import six
  import numpy
  import matplotlib.font_manager
  from skimage import io, transform
  from keras import backend
  from keras.models import load_model
  import logging
label_desc: Use image node_id 14 for calling a global function with example usage: lookup_imagenet_labels(indices) and returns: unknown