code: def denormalization(x):
      mean = np.array([0.485, 0.456, 0.406])
      std = np.array([0.229, 0.224, 0.225])
      x = (((x.transpose(1, 2, 0) * std) + mean) * 255.0).astype(
          np.uint8
      )
      return x
  
imports: import os
  import sys
  import random
  import argparse
  from random import sample
  from collections import OrderedDict
  import datetime
  import numpy
  import matplotlib
  import matplotlib.pyplot
  from PIL import Image
  from scipy.ndimage import gaussian_filter
  from skimage import morphology
  from skimage.segmentation import mark_boundaries
  import paddle
  import paddle.nn.functional
  import qinspector.uad.datasets.mvtec
  from qinspector.uad.models.padim import ResNet_PaDiM
  from qinspector.cvlib.uad_configs import *
label_desc: Use image node_id 4 for calling a global function with example usage: denormalization(x) and returns: x