Typo: bouding -> bounding (#8386)

Author: NicolasHug

gallery/transforms/plot_transforms_e2e.py

@@ -93,7 +93,7 @@
 # ----------
 #
 # Let's now define our pre-processing transforms. All the transforms know how
-# to handle images, bouding boxes and masks when relevant.
+# to handle images, bounding boxes and masks when relevant.
 #
 # Transforms are typically passed as the ``transforms`` parameter of the
 # dataset so that they can leverage multi-processing from the

test/test_transforms_v2.py

@@ -5930,7 +5930,7 @@ def test_errors_functional(self):
  with pytest.raises(ValueError, match="canvas_size must be None when bounding_boxes is a tv_tensors"):
  F.sanitize_bounding_boxes(good_bbox, format="XYXY", canvas_size=None)
 
- with pytest.raises(ValueError, match="bouding_boxes must be a tv_tensors.BoundingBoxes instance or a"):
+ with pytest.raises(ValueError, match="bounding_boxes must be a tv_tensors.BoundingBoxes instance or a"):
  F.sanitize_bounding_boxes(good_bbox.tolist())
 
 

torchvision/transforms/v2/functional/_misc.py

@@ -328,12 +328,12 @@ def sanitize_bounding_boxes(
  bounding_boxes = bounding_boxes[valid]
  else:
  if not isinstance(bounding_boxes, tv_tensors.BoundingBoxes):
- raise ValueError("bouding_boxes must be a tv_tensors.BoundingBoxes instance or a pure tensor.")
+ raise ValueError("bounding_boxes must be a tv_tensors.BoundingBoxes instance or a pure tensor.")
  if format is not None or canvas_size is not None:
  raise ValueError(
  "format and canvas_size must be None when bounding_boxes is a tv_tensors.BoundingBoxes instance. "
  f"Got format={format} and canvas_size={canvas_size}. "
- "Leave those to None or pass bouding_boxes as a pure tensor."
+ "Leave those to None or pass bounding_boxes as a pure tensor."
  )
  valid = _get_sanitize_bounding_boxes_mask(
  bounding_boxes, format=bounding_boxes.format, canvas_size=bounding_boxes.canvas_size, min_size=min_size