code: def main():
      image = ia.data.quokka(0.5)
      height, width = image.shape[0], image.shape[1]
      center_x = width // 2
      center_y = height // 2
      r = int(min(image.shape[0], image.shape[1]) / 3)
  
      cv2.namedWindow("aug", cv2.WINDOW_NORMAL)
      cv2.imshow("aug", image[:, :, ::-1])
      cv2.waitKey(TIME_PER_STEP)
  
      for angle in cycle(np.arange(0, 360, DEG_PER_STEP)):
          rad = np.deg2rad(angle - 90)
          point_x = int(center_x + r * np.cos(rad))
          point_y = int(center_y + r * np.sin(rad))
  
          aug = iaa.MotionBlur(k=35, angle=angle, direction=-1.0)
          img_aug = aug.augment_image(image)
          img_aug[
              point_y - POINT_SIZE : point_y + POINT_SIZE + 1,
              point_x - POINT_SIZE : point_x + POINT_SIZE + 1,
              :,
          ] = np.array([0, 255, 0])
  
          aug_inv = iaa.MotionBlur(k=35, angle=angle, direction=1.0)
          img_aug_inv = aug_inv.augment_image(image)
          img_aug_inv[
              point_y - POINT_SIZE : point_y + POINT_SIZE + 1,
              point_x - POINT_SIZE : point_x + POINT_SIZE + 1,
              :,
          ] = np.array([0, 255, 0])
  
          cv2.imshow(
              "aug",
              np.hstack([img_aug[:, :, ::-1], img_aug_inv[:, :, ::-1]]),
          )
          cv2.waitKey(TIME_PER_STEP)
  
imports: from __future__ import print_function, division
  from itertools import cycle
  import numpy
  import cv2
  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