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 argparse
  import numpy
  import matplotlib
  import matplotlib.pyplot
  from sklearn.metrics import roc_curve, auc
  from tqdm import tqdm
  from skimage import measure, morphology
  from skimage.segmentation import mark_boundaries
  import paddle
label_desc: Use image node_id 17 for calling a global function with example usage: denormalization(x) and returns: x