WIP: benchmarking affine transforms

pyclesperanto/_interroperability.py

@@ -10,6 +10,7 @@
 #
 
 import warnings
+from typing import Optional
 
 import numpy as np
 
@@ -25,6 +26,56 @@
 
 # scikit-image aliases
 from ._tier5 import connected_components_labeling as label
+from ._tier7 import affine_transform as _tier7_affine_transform
+
+# enforce deprecation warnings display
+warnings.filterwarnings("always", category=DeprecationWarning, module=__name__)
+
+
+def affine_transform(
+    input_image: Image,
+    output_image: Image = None,
+    transform_matrix: Optional[list] = None,
+    interpolate: bool = False,
+    resize: bool = False,
+    transform: Optional[np.ndarray] = None,
+    linear_interpolation: Optional[bool] = None,
+    auto_size: Optional[bool] = None,
+) -> Image:
+
+    if transform is not None:
+        warnings.warn(
+            "affine_transform : 'transform_matrix' parameter is deprecated. Please use 'transform' instead.",
+            DeprecationWarning,
+        )
+        transform_matrix = transform.ravel().tolist()
+
+    if linear_interpolation is not None:
+        warnings.warn(
+            "affine_transform : 'linear_interpolation' parameter is deprecated. Please use 'interpolate' instead.",
+            DeprecationWarning,
+        )
+        interpolate = linear_interpolation
+
+    if auto_size is not None:
+        warnings.warn(
+            "affine_transform : 'auto_size' parameter is deprecated. Please use 'resize' instead.",
+            DeprecationWarning,
+        )
+        resize = auto_size
+
+    if not isinstance(transform_matrix, list) and isinstance(
+        transform_matrix, np.ndarray
+    ):
+        transform_matrix = transform_matrix.ravel().tolist()
+
+    return _tier7_affine_transform(
+        input_image=input_image,
+        output_image=output_image,
+        transform_matrix=transform_matrix,
+        interpolate=interpolate,
+        resize=resize,
+    )
 
 
 def set_wait_for_kernel_finish(bool=True):