code: def main():
      image = ia.quokka_square((256, 256))
  
      reggrid_sampler = iaa.DropoutPointsSampler(
          iaa.RegularGridPointsSampler(n_rows=50, n_cols=50), 0.5
      )
      uniform_sampler = iaa.UniformPointsSampler(50 * 50)
  
      for p_replace in [1.0, 0.5, 0.1, 0.0]:
          augs = [
              iaa.Voronoi(
                  points_sampler=reggrid_sampler,
                  p_replace=p_replace,
                  max_size=128,
              ),
              iaa.Voronoi(
                  points_sampler=uniform_sampler,
                  p_replace=p_replace,
                  max_size=128,
              ),
              iaa.UniformVoronoi(
                  50 * 50, p_replace=p_replace, max_size=128
              ),
              iaa.RegularGridVoronoi(
                  50,
                  50,
                  p_drop_points=0.4,
                  p_replace=p_replace,
                  max_size=128,
              ),
              iaa.RelativeRegularGridVoronoi(
                  p_replace=p_replace, max_size=128
              ),
          ]
  
          images = [aug(image=image) for aug in augs]
  
          ia.imshow(np.hstack(images))
  
imports: from __future__ import print_function, division
  import numpy
  import imgaug
  import imgaug.augmenters
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types