code: def cutout(im, n_holes, length):
      
      r,c,*_ = im.shape
      mask = np.ones((r, c), np.int32)
      for n in range(n_holes):
          y = np.random.randint(0, r)
          x = np.random.randint(0, c)
  
          y1 = int(np.clip(y - length / 2, 0, r))
          y2 = int(np.clip(y + length / 2, 0, r))
          x1 = int(np.clip(x - length / 2, 0, c))
          x2 = int(np.clip(x + length / 2, 0, c))
          mask[y1: y2, x1: x2] = 0.
      
      mask = mask[:,:,None]
      im = im * mask
      return im
docs: Cut out n_holes number of square holes of size length in image at random locations. Holes may overlap.