update entire methods: move_obb_boxes and move detections

supervision/detection/tools/inference_slicer.py

@@ -9,6 +9,7 @@ from supervision.detection.overlap_filter import OverlapFilter, validate_overlap
 from supervision.detection.utils import move_boxes, move_masks, move_obb_boxes
 from supervision.utils.image import crop_image
 from supervision.utils.internal import SupervisionWarnings
+from supervision import config
 
 
 def move_detections(
@@ -28,9 +29,9 @@ def move_detections(
         (sv.Detections) repositioned Detections object.
     """
     detections.xyxy = move_boxes(xyxy=detections.xyxy, offset=offset)
-    if "ORIENTED_BOX_COORDINATES" in detections.data:
-        detections.data["ORIENTED_BOX_COORDINATES"] = move_obb_boxes(
-            xyss=detections.data["ORIENTED_BOX_COORDINATES"], offset=offset
+    if config.ORIENTED_BOX_COORDINATES in detections.data:
+        detections.data[config.ORIENTED_BOX_COORDINATES] = move_obb_boxes(
+            xyxyxyxy=detections.data[config.ORIENTED_BOX_COORDINATES], offset=offset
         )
     if detections.mask is not None:
         if resolution_wh is None:

supervision/detection/utils.py

@@ -596,9 +596,8 @@ def move_boxes(
     return xyxy + np.hstack([offset, offset])
 
 
-def move_obb_boxes(
-    xyss: npt.NDArray[np.float64], offset: npt.NDArray[np.int32]
-) -> npt.NDArray[np.float64]:
+def move_obb_boxes(xyxyxyxy: npt.NDArray[np.float64], offset: npt.NDArray[np.int32]
+                  ) -> npt.NDArray[np.float64]:
     """
     Parameters:
         xyxyxyxy (npt.NDArray[np.float64]): An array of shape `(n, 4, 2)` containing the
@@ -630,7 +629,7 @@ def move_obb_boxes(
     """
     return [
         xys + np.hstack([offset, offset, offset, offset]).reshape(xys.shape)
-        for xys in xyss
+        for xys in xyxyxyxy
     ]