Revert default overlap_ratio_wh value, update docs

docs/changelog.md

@@ -96,7 +96,7 @@ detections = sv.Detections.from_sam(sam_result=sam_result)
 
 - Added [#1409](https://github.com/roboflow/supervision/pull/1409): `text_color` option for [`VertexLabelAnnotator`](https://supervision.roboflow.com/0.23.0/keypoint/annotators/#supervision.keypoint.annotators.VertexLabelAnnotator) keypoint annotator.
 
-- Changed [#1434](https://github.com/roboflow/supervision/pull/1434): [`InferenceSlicer`](https://supervision.roboflow.com/0.23.0/detection/tools/inference_slicer/) now features an `overlap_ratio_wh` parameter, making it easier to compute slice sizes when handling overlapping slices.
+- Changed [#1434](https://github.com/roboflow/supervision/pull/1434): [`InferenceSlicer`](https://supervision.roboflow.com/0.23.0/detection/tools/inference_slicer/) now features an `overlap_wh` parameter, making it easier to compute slice sizes when handling overlapping slices.
 
 - Fix [#1448](https://github.com/roboflow/supervision/pull/1448): Various annotator type issues have been resolved, supporting expanded error handling.
 

supervision/detection/tools/inference_slicer.py

@@ -60,7 +60,8 @@ class InferenceSlicer:
     Args:
         slice_wh (Tuple[int, int]): Dimensions of each slice measured in pixels. The
             tuple should be in the format `(width, height)`.
-        overlap_ratio_wh (Optional[Tuple[float, float]]): A tuple representing the
+        overlap_ratio_wh (Optional[Tuple[float, float]]): [⚠️ Deprecated: please set
+                to `None` and use `overlap_wh`] A tuple representing the
             desired overlap ratio for width and height between consecutive slices.
             Each value should be in the range [0, 1), where 0 means no overlap and
             a value close to 1 means high overlap.
@@ -87,14 +88,14 @@ class InferenceSlicer:
         new_parameter="overlap_filter",
         map_function=lambda x: x,
         warning_message="`{old_parameter}` in `{function_name}` is deprecated and will "
-        "be removed in `supervision-0.27.0`. Use '{new_parameter}' "
-        "instead.",
+        "be removed in `supervision-0.27.0`. Please set to `None` and use "
+        "'{new_parameter}' instead.",
     )
     def __init__(
         self,
         callback: Callable[[np.ndarray], Detections],
         slice_wh: Tuple[int, int] = (320, 320),
-        overlap_ratio_wh: Optional[Tuple[float, float]] = None,
+        overlap_ratio_wh: Optional[Tuple[float, float]] = (0.2, 0.2),
         overlap_wh: Optional[Tuple[int, int]] = None,
         overlap_filter: Union[OverlapFilter, str] = OverlapFilter.NON_MAX_SUPPRESSION,
         iou_threshold: float = 0.5,

test/detection/tools/test_inference_slicer.py

@@ -13,9 +13,7 @@ from supervision.detection.tools.inference_slicer import InferenceSlicer
 def mock_callback():
     """Mock callback function for testing."""
 
-    def callback(image_slice: np.ndarray) -> Detections:
-        # Here we mock the detection process, returning a mock detection
-        # Assume detections are just coordinates for simplicity
+    def callback(_: np.ndarray) -> Detections:
         return Detections(xyxy=np.array([[0, 0, 10, 10]]))
 
     return callback