class_docstr: Normalize a ndarray image with mean and standard deviation.
docstr: Args:
      tensor (Tensor): Tensor image of size (C, H, W) to be normalized.
  Returns:
      Tensor: Normalized Tensor image.
docstr_tok: ["Args",":","tensor","(","Tensor",")",":","Tensor","image","of","size","(","C",",","H",",","W",")","to","be","normalized",".","Returns",":","Tensor",":","Normalized","Tensor","image","."]
code: def __call__(self, img):
      """
      Args:
          tensor (Tensor): Tensor image of size (C, H, W) to be normalized.
      Returns:
          Tensor: Normalized Tensor image.
      """
      return (img - self.mean) / self.std
  
imports: import random
  import cv2
  import numpy
  import torch
  from scipy import signal
label_desc: Use image node_id 2 for calling the Normalize obj's underlying member method code with example usage: obj.__call__(img) and returns: unknown