class_docstr: Normalize a ndarray image with mean and standard deviation.
code: def __init__(self, min_hole_length, max_hole_length):
      self.min_hole_length = min_hole_length
      self.max_hole_length = max_hole_length
  
imports: import random
  import cv2
  import numpy
  import torch
  from scipy import signal
label_desc: Use image node_id 1 to create a new CutoutHole object from inherited base classes: object with example: obj = CutoutHole(min_hole_length, max_hole_length)