code: def test_two_images_and_segmaps(self):
      rng = iarandom.RNG(0)
      images = rng.integers(
          0, 256, size=(2, 256, 256, 3), dtype=np.uint8
      )
      sm1 = np.zeros((256, 256, 1), dtype=np.int32)
      sm1[128 - 25 : 128 + 25, 128 - 25 : 128 + 25] = 1
      sm2 = np.zeros((256, 256, 1), dtype=np.int32)
      sm2[64 - 25 : 64 + 25, 64 - 25 : 64 + 25] = 2
      sm2[192 - 25 : 192 + 25, 192 - 25 : 192 + 25] = 3
      segmap1 = ia.SegmentationMapsOnImage(sm1, shape=images[0].shape)
      segmap2 = ia.SegmentationMapsOnImage(sm2, shape=images[1].shape)
      image1_w_overlay = segmap1.draw_on_image(
          images[0], draw_background=True
      )[0]
      image2_w_overlay = segmap2.draw_on_image(
          images[1], draw_background=True
      )[0]
  
      debug_image = iaa.draw_debug_image(
          images, segmentation_maps=[segmap1, segmap2]
      )
  
      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 7 for calling the Test_draw_debug_image obj's underlying member method code with example usage: obj.test_two_images_and_segmaps() without return types