code: def channels_from_example(example):
      """Extract image from an Example and return the list of channels.
  
      Args:
        example: a tensorflow Example containing features that include
          "image/encoded" and "image/shape"
  
      Returns:
        list of 2D numpy arrays, one for each channel.
      """
      image = get_image_array_from_example(example)
      return split_3d_array_into_channels(image)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import enum
  import math
  from typing import List, NamedTuple, Tuple
  from etils import epath
  from IPython import display
  import numpy
  from PIL import Image
  from PIL import ImageDraw
  from third_party.nucleus.protos import variants_pb2
label_desc: Use image node_id 3 for calling a global function with example usage: channels_from_example(example) and returns: split_3d_array_into_channels