code: def main():
      image = ia.data.quokka(size=0.5)
      kps = [
          ia.KeypointsOnImage(
              [
                  ia.Keypoint(x=245, y=203),
                  ia.Keypoint(x=365, y=195),
                  ia.Keypoint(x=313, y=269),
              ],
              shape=(image.shape[0] * 2, image.shape[1] * 2),
          )
      ]
      kps[0] = kps[0].on(image.shape)
      print("image shape:", image.shape)
  
      augs = [
          iaa.PerspectiveTransform(
              scale=0.01, name="pt001", keep_size=True
          ),
          iaa.PerspectiveTransform(
              scale=0.1, name="pt01", keep_size=True
          ),
          iaa.PerspectiveTransform(
              scale=0.2, name="pt02", keep_size=True
          ),
          iaa.PerspectiveTransform(
              scale=0.3, name="pt03", keep_size=True
          ),
          iaa.PerspectiveTransform(
              scale=(0, 0.3), name="pt00to03", keep_size=True
          ),
      ]
  
      print("original", image.shape)
      ia.imshow(kps[0].draw_on_image(image))
  
      print("-----------------")
      print("Random aug per image")
      print("-----------------")
      for aug in augs:
          images_aug = []
          for _ in range(16):
              aug_det = aug.to_deterministic()
              img_aug = aug_det.augment_image(image)
              kps_aug = aug_det.augment_keypoints(kps)[0]
              img_aug_kps = kps_aug.draw_on_image(img_aug)
              img_aug_kps = np.pad(
                  img_aug_kps,
                  ((1, 1), (1, 1), (0, 0)),
                  mode="constant",
                  constant_values=255,
              )
              images_aug.append(img_aug_kps)
          print(aug.name)
          ia.imshow(ia.draw_grid(images_aug))
  
      print("----------------")
      print("6 channels")
      print("----------------")
      image6 = np.dstack([image, image])
      image6_aug = augs[1].augment_image(image6)
      ia.imshow(np.hstack([image6_aug[..., 0:3], image6_aug[..., 3:6]]))
  
imports: from __future__ import print_function, division
  import numpy
  import imgaug
  from imgaug import augmenters
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types