code: def example_visualize_augmented_images():
      print("Example: Visualize Augmented Images")
      import numpy as np
      import imgaug.augmenters as iaa
  
      images = np.random.randint(
          0, 255, (16, 128, 128, 3), dtype=np.uint8
      )
      seq = iaa.Sequential(
          [iaa.Fliplr(0.5), iaa.GaussianBlur((0, 3.0))]
      )
  
      # Show an image with 8*8 augmented versions of image 0 and 8*8 augmented
      # versions of image 1. Identical augmentations will be applied to
      # image 0 and 1.
      seq.show_grid([images[0], images[1]], cols=8, rows=8)
  
file_path: imgaug/checks/check_readme_examples.py
imports: from __future__ import print_function, division
  import functools
label_desc: Use image node_id 11 for calling a global function with example usage: example_visualize_augmented_images() without return types