code: def main():
      image = data.astronaut()
      image = ia.imresize_single_image(image, (HEIGHT, WIDTH))
  
      kps = []
      for y in range(NB_ROWS):
          ycoord = BB_Y1 + int(y * (BB_Y2 - BB_Y1) / (NB_COLS - 1))
          for x in range(NB_COLS):
              xcoord = BB_X1 + int(x * (BB_X2 - BB_X1) / (NB_ROWS - 1))
              kp = (xcoord, ycoord)
              kps.append(kp)
      kps = set(kps)
      kps = [
          ia.Keypoint(x=xcoord, y=ycoord) for (xcoord, ycoord) in kps
      ]
      kps = ia.KeypointsOnImage(kps, shape=image.shape)
  
      bb = ia.BoundingBox(x1=BB_X1, x2=BB_X2, y1=BB_Y1, y2=BB_Y2)
      bbs = ia.BoundingBoxesOnImage([bb], shape=image.shape)
  
      pairs = []
      seqs = [
          iaa.AffineCv2(rotate=45),
          iaa.AffineCv2(translate_px=20),
          iaa.AffineCv2(translate_percent=0.1),
          iaa.AffineCv2(scale=1.2),
          iaa.AffineCv2(scale=0.8),
          iaa.AffineCv2(shear=45),
          iaa.AffineCv2(rotate=45, cval=256),
          iaa.AffineCv2(translate_px=20, mode=cv2.BORDER_CONSTANT),
          iaa.AffineCv2(translate_px=20, mode=cv2.BORDER_REPLICATE),
          iaa.AffineCv2(translate_px=20, mode=cv2.BORDER_REFLECT),
          iaa.AffineCv2(translate_px=20, mode=cv2.BORDER_REFLECT_101),
          iaa.AffineCv2(translate_px=20, mode=cv2.BORDER_WRAP),
          iaa.AffineCv2(translate_px=20, mode="constant"),
          iaa.AffineCv2(translate_px=20, mode="replicate"),
          iaa.AffineCv2(translate_px=20, mode="reflect"),
          iaa.AffineCv2(translate_px=20, mode="reflect_101"),
          iaa.AffineCv2(translate_px=20, mode="wrap"),
          iaa.AffineCv2(scale=0.5, order=cv2.INTER_NEAREST),
          iaa.AffineCv2(scale=0.5, order=cv2.INTER_LINEAR),
          iaa.AffineCv2(scale=0.5, order=cv2.INTER_CUBIC),
          iaa.AffineCv2(scale=0.5, order=cv2.INTER_LANCZOS4),
          iaa.AffineCv2(scale=0.5, order="nearest"),
          iaa.AffineCv2(scale=0.5, order="linear"),
          iaa.AffineCv2(scale=0.5, order="cubic"),
          iaa.AffineCv2(scale=0.5, order="lanczos4"),
          iaa.AffineCv2(rotate=45, translate_px=20, scale=1.2),
          iaa.AffineCv2(rotate=45, translate_px=20, scale=0.8),
          iaa.AffineCv2(
              rotate=(-45, 45),
              translate_px=(-20, 20),
              scale=(0.8, 1.2),
              order=ia.ALL,
              mode=ia.ALL,
              cval=ia.ALL,
          ),
          iaa.AffineCv2(
              rotate=(-45, 45),
              translate_px=(-20, 20),
              scale=(0.8, 1.2),
              order=ia.ALL,
              mode=ia.ALL,
              cval=ia.ALL,
          ),
          iaa.AffineCv2(
              rotate=(-45, 45),
              translate_px=(-20, 20),
              scale=(0.8, 1.2),
              order=ia.ALL,
              mode=ia.ALL,
              cval=ia.ALL,
          ),
          iaa.AffineCv2(
              rotate=(-45, 45),
              translate_px=(-20, 20),
              scale=(0.8, 1.2),
              order=ia.ALL,
              mode=ia.ALL,
              cval=ia.ALL,
          ),
      ]
  
      for seq in seqs:
          seq_det = seq.to_deterministic()
          image_aug = seq_det.augment_image(image)
          # print(image_aug.dtype, np.min(image_aug), np.max(image_aug))
          kps_aug = seq_det.augment_keypoints([kps])[0]
          bbs_aug = seq_det.augment_bounding_boxes([bbs])[0]
  
          image_before = np.copy(image)
          image_before = kps.draw_on_image(image_before)
          image_before = bbs.draw_on_image(image_before)
  
          image_after = np.copy(image_aug)
          image_after = kps_aug.draw_on_image(image_after)
          image_after = bbs_aug.draw_on_image(image_after)
  
          pairs.append(np.hstack((image_before, image_after)))
  
      ia.imshow(np.vstack(pairs))
      imageio.imwrite("affinecv2.jpg", np.vstack(pairs))
  
file_path: imgaug/checks/check_affinecv2.py
imports: from __future__ import print_function, division
  import imgaug
  from imgaug import augmenters
  import imageio
  import numpy
  from skimage import data
  import cv2
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types