docstr: Args:
      mean (list): the pixel mean
      std (list): the pixel variance
docstr_tok: ["Args",":","mean","(","list",")",":","the","pixel","mean","std","(","list",")",":","the","pixel","variance"]
code: def __init__(
      self,
      mean=[0.485, 0.456, 0.406],
      std=[1, 1, 1],
      is_scale=True,
      is_channel_first=True,
  ):
      """
      Args:
          mean (list): the pixel mean
          std (list): the pixel variance
      """
      self.mean = mean
      self.std = std
      self.is_scale = is_scale
      self.is_channel_first = is_channel_first
  
imports: from __future__ import absolute_import
  from __future__ import print_function
  from __future__ import division
  import os
  import random
  import cv2
  import numpy
  from PIL import Image
label_desc: Use image node_id 1 to create a new NormalizeImage object from inherited base classes: object with example: obj = NormalizeImage(mean, std, is_scale, is_channel_first)