code: def reverse_normalize(image):
      """Reverses the normalization applied on an image by the
      :func:`detecto.utils.reverse_normalize` transformation. The image
      must be a `torch.Tensor <https://pytorch.org/docs/stable/tensors.html>`_
      object.
  
      :param image: A normalized image.
      :type image: torch.Tensor
      :return: The image with the normalization undone.
      :rtype: torch.Tensor
  
  
      **Example**::
  
          >>> import matplotlib.pyplot as plt
          >>> from torchvision import transforms
          >>> from detecto.utils import read_image, \\
          >>>     default_transforms, reverse_normalize
  
          >>> image = read_image('image.jpg')
          >>> defaults = default_transforms()
          >>> image = defaults(image)
  
          >>> image = reverse_normalize(image)
          >>> image = transforms.ToPILImage()(image)
          >>> plt.imshow(image)
          >>> plt.show()
      """
  
      reverse = transforms.Normalize(
          mean=[-0.485 / 0.229, -0.456 / 0.224, -0.406 / 0.255],
          std=[1 / 0.229, 1 / 0.224, 1 / 0.255],
      )
      return reverse(image)
  
file_path: detecto/detecto/utils.py
imports: import cv2
  import os
  import pandas
  import torch
  import xml.etree.ElementTree
  from glob import glob
  from torchvision import transforms
label_desc: Use image node_id 5 for calling a global function with example usage: reverse_normalize(image) and returns: reverse