code: def unnormalize(image, norm_min, norm_max, min_v, max_v):
      r"""
      unnormalization function
  
      Parameters
      ----------
      image : np.ndarray
      norm_min : int or float
          minimum value of normalized image
      norm_max : int or float
          maximum value of normalized image
      min_v : int or float
          minimum value of unnormalized image
      max_v : int or float
          maximum value of unnormalized image
  
      Returns
      -------
      np.ndarray
          unnormalized image from range min_v to max_v
      """
      return (image - norm_min) / (norm_max - norm_min) * (
          max_v - min_v
      ) + min_v
  
file_path: dipy/dipy/nn/utils.py
imports: import numpy
  from scipy.ndimage import affine_transform, label
  from dipy.align.reslice import reslice
label_desc: Use image node_id 2 for calling a global function with example usage: unnormalize(image, norm_min, norm_max, min_v, max_v) and returns: unknown