code: def denorm(self, img):
      img_mean = np.array([0.485, 0.456, 0.406]).reshape((3, 1, 1))
      img_std = np.array([0.229, 0.224, 0.225]).reshape((3, 1, 1))
  
      img *= img_std
      img += img_mean
      img = img.transpose((1, 2, 0))
  
      return (img * 255).clip(0, 255).astype("uint8")
  
imports: import glob
  import os
  import cv2
  import numpy
  import paddle
  import paddle.nn
  from PIL import Image
  from tqdm import tqdm
  from .None import utils
  from .base_module import build_model
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import serving
label_desc: Use image node_id 3 for calling the DeOldifyPredictor obj's underlying member method code with example usage: obj.denorm(img) and returns: unknown