class_docstr: Normlize image by given mean and std.
class_docstr_tok: ["Normlize","image","by","given","mean","and","std","."]
code: def __init__(self, mean, std):
      self.__mean = mean
      self.__std = std
  
file_path: carefree-learn/cflearn/api/cv/third_party/midas/core/transforms.py
imports: import numpy
  import math
label_desc: Use image node_id 1 to create a new NormalizeImage object from inherited base classes: object with example: obj = NormalizeImage(mean, std)