ThinPlateSpline

>>> import numpy as np
>>> import albumentations as A
>>> import cv2
>>>
>>> # Create sample data
>>> image = np.zeros((100, 100, 3), dtype=np.uint8)
>>> mask = np.zeros((100, 100), dtype=np.uint8)
>>> mask[25:75, 25:75] = 1  # Square mask
>>> bboxes = np.array([[10, 10, 40, 40]])  # Single box
>>> bbox_labels = [1]
>>> keypoints = np.array([[50, 50]])  # Single keypoint at center
>>> keypoint_labels = [0]
>>>
>>> # Set up transform with Compose to handle all targets
>>> transform = A.Compose([
...     A.ThinPlateSpline(scale_range=(0.2, 0.4), p=1.0)
... ], bbox_params=A.BboxParams(coord_format='pascal_voc', label_fields=['bbox_labels']),
...    keypoint_params=A.KeypointParams(coord_format='xy', label_fields=['keypoint_labels']))
>>>
>>> # Apply to all targets
>>> result = transform(
...     image=image,
...     mask=mask,
...     bboxes=bboxes,
...     bbox_labels=bbox_labels,
...     keypoints=keypoints,
...     keypoint_labels=keypoint_labels
... )
>>>
>>> # Access transformed results
>>> transformed_image = result['image']
>>> transformed_mask = result['mask']
>>> transformed_bboxes = result['bboxes']
>>> transformed_bbox_labels = result['bbox_labels']
>>> transformed_keypoints = result['keypoints']
>>> transformed_keypoint_labels = result['keypoint_labels']