class_docstr: Image Preprocessing.
  
  Base class for applying real-time image related pre-processing.
  
  This class is meant to be used as an argument of `input_data`. When training
  a model, the defined pre-processing methods will be applied at both
  training and testing time. Note that ImageAugmentation is similar to
  ImagePreprocessing, but only applies at training time.
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code: def _normalize_image(self, batch):
      return np.array(batch) / 255.0
  
imports: from __future__ import division, print_function, absolute_import
  import numpy
  import pickle
  import tensorflow.compat.v1
label_desc: Use image node_id 6 for calling the ImagePreprocessing obj's underlying member method code with example usage: obj._normalize_image(batch) and returns: unknown