code: def test_two_images_and_heatmaps(self):
      rng = iarandom.RNG(0)
      images = rng.integers(
          0, 256, size=(2, 256, 256, 3), dtype=np.uint8
      )
      heatmap = np.zeros((256, 256, 1), dtype=np.float32)
      heatmap[128 - 25 : 128 + 25, 128 - 25 : 128 + 25] = 1.0
      heatmap1 = ia.HeatmapsOnImage(
          np.copy(heatmap), shape=images[0].shape
      )
      heatmap2 = ia.HeatmapsOnImage(
          1.0 - heatmap, shape=images[1].shape
      )
      image1_w_overlay = heatmap1.draw_on_image(images[0])[0]
      image2_w_overlay = heatmap2.draw_on_image(images[1])[0]
  
      debug_image = iaa.draw_debug_image(
          images, heatmaps=[heatmap1, heatmap2]
      )
  
      assert self._image_contains(images[0, ...], debug_image)
      assert self._image_contains(images[1, ...], debug_image)
      assert self._image_contains(image1_w_overlay, debug_image)
      assert self._image_contains(image2_w_overlay, debug_image)
  
imports: from __future__ import print_function, division, absolute_import
  import sys
  import os
  import numpy
  import cv2
  import imageio
  import imgaug
  from imgaug import augmenters
  from imgaug import random
  from imgaug.testutils import reseed, TemporaryDirectory
  import imgaug.augmenters.debug
label_desc: Use image node_id 6 for calling the Test_draw_debug_image obj's underlying member method code with example usage: obj.test_two_images_and_heatmaps() without return types