class_docstr: Transformer for common image processing stages.
docstr: Normalizes the image by multiplying the color_scale_factor, substracting mean and dividing by std
docstr_tok: ["Normalizes","the","image","by","multiplying","the","color_scale_factor",",","substracting","mean","and","dividing","by","std"]
code: def normalize(self, mean, std, color_scale_factor):
      """
      Normalizes the image by multiplying the color_scale_factor, substracting mean and dividing by std
      """
      self._java_obj.normalize(mean, std, color_scale_factor)
      return self
  
imports: import sys
  from typing import List
  import pyspark
  from pyspark import SparkContext
  from pyspark.ml.common import inherit_doc
  from pyspark.sql.types import *
  from pyspark.sql.types import Row, _create_row
  import numpy
  from synapse.ml.opencv._ImageTransformer import _ImageTransformer
  from pyspark.ml.common import inherit_doc
label_desc: Use image node_id 9 for calling the ImageTransformer obj's underlying member method code with example usage: obj.normalize(mean, std, color_scale_factor) and returns: self