code: def hue_augmenter(
      image,
      annotation,
      random_alpha_tf,
      max_hue_adjust=_DEFAULT_AUG_PARAMS["max_hue_adjust"],
  ):
      tf = _lazy_import_tensorflow()
      # Apply the random rotation around the color wheel.
      hue_delta = interpolate(
          random_alpha_tf[0], -max_hue_adjust, max_hue_adjust
      )
      image = tf.image.adjust_hue(image, hue_delta)
      image = tf.clip_by_value(image, 0, 1)
  
      # No geometry changes, so just copy the annotations.
      return image, annotation
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import numpy
  from PIL import Image
  import turicreate.toolkits._tf_utils
  import turicreate
  from turicreate._deps.minimal_package import _minimal_package_import_check
label_desc: Use image node_id 3 for calling a global function with example usage: hue_augmenter(image, annotation, random_alpha_tf, max_hue_adjust) and returns: image,  annotation