From 0d4c3a4fcf2c6f1ca74e66c7f0c2dabe874f18aa Mon Sep 17 00:00:00 2001
From: Abhijith Neil Abraham <abhijithneilabrahampk@gmail.com>
Date: Fri, 3 Jul 2026 01:33:49 -0700
Subject: [PATCH] fix(annotators): clip CropAnnotator boxes to the scene before
 cropping (#2391)

---
 src/supervision/annotators/core.py | 18 +++++++----
 tests/annotators/test_core.py      | 52 ++++++++++++++++++++++++++++++
 2 files changed, 63 insertions(+), 7 deletions(-)

diff --git a/src/supervision/annotators/core.py b/src/supervision/annotators/core.py
index de212839..0233729c 100644
--- a/src/supervision/annotators/core.py
+++ b/src/supervision/annotators/core.py
@@ -3019,17 +3019,21 @@ class CropAnnotator(BaseAnnotator):
         """
         if not isinstance(scene, np.ndarray):
             return scene
-        crops = [
-            crop_image(image=scene, xyxy=xyxy) for xyxy in detections.xyxy.astype(int)
-        ]
-        resized_crops = [
-            scale_image(image=crop, scale_factor=self.scale_factor) for crop in crops
-        ]
+        image_height, image_width = scene.shape[:2]
+        clipped_xyxy: npt.NDArray[np.int32] = clip_boxes(
+            xyxy=detections.xyxy,
+            resolution_wh=(image_width, image_height),
+        ).astype(int)
         anchors: npt.NDArray[np.int32] = detections.get_anchors_coordinates(
             anchor=self.position
         ).astype(int)
 
-        for idx, (resized_crop, anchor) in enumerate(zip(resized_crops, anchors)):
+        for idx, (xyxy, anchor) in enumerate(zip(clipped_xyxy, anchors)):
+            x_min, y_min, x_max, y_max = xyxy
+            if x_max - x_min <= 0 or y_max - y_min <= 0:
+                continue
+            crop = crop_image(image=scene, xyxy=xyxy)
+            resized_crop = scale_image(image=crop, scale_factor=self.scale_factor)
             crop_wh = resized_crop.shape[1], resized_crop.shape[0]
             (x1, y1), (x2, y2) = self.calculate_crop_coordinates(
                 anchor=anchor, crop_wh=crop_wh, position=self.position
diff --git a/tests/annotators/test_core.py b/tests/annotators/test_core.py
index 35ecfcc2..c713f170 100644
--- a/tests/annotators/test_core.py
+++ b/tests/annotators/test_core.py
@@ -1323,6 +1323,58 @@ class TestCropAnnotator:
         result = annotator.annotate(scene=gradient_image.copy(), detections=detections)
         assert not np.array_equal(gradient_image, result)
 
+    @pytest.mark.parametrize(
+        "xyxy",
+        [
+            pytest.param([-5, 20, 40, 60], id="negative-x-min"),
+            pytest.param([20, -5, 60, 40], id="negative-y-min"),
+            pytest.param([-10, -10, 30, 30], id="negative-x-and-y-min"),
+            pytest.param([60, 20, 140, 60], id="past-right-edge"),
+            pytest.param([-20, -20, 140, 140], id="larger-than-scene"),
+        ],
+    )
+    def test_annotate_with_box_crossing_scene_border(
+        self, gradient_image, xyxy: list[int]
+    ) -> None:
+        """Boxes extending past the scene border are clipped instead of raising"""
+        detections = _create_detections(xyxy=[xyxy], class_id=[0])
+        annotator = CropAnnotator()
+
+        result = annotator.annotate(scene=gradient_image.copy(), detections=detections)
+
+        assert result.shape == gradient_image.shape
+
+    @pytest.mark.parametrize(
+        "xyxy",
+        [
+            pytest.param([150, 150, 200, 200], id="fully-outside"),
+            pytest.param([-50, -50, -10, -10], id="fully-negative"),
+            pytest.param([30, 20, 30, 60], id="zero-width"),
+            pytest.param([30, 30, 30, 30], id="zero-area"),
+        ],
+    )
+    def test_annotate_skips_boxes_empty_after_clipping(
+        self, gradient_image, xyxy: list[int]
+    ) -> None:
+        """Boxes with no visible area are skipped instead of raising cv2.error"""
+        detections = _create_detections(xyxy=[xyxy], class_id=[0])
+        annotator = CropAnnotator()
+
+        result = annotator.annotate(scene=gradient_image.copy(), detections=detections)
+
+        assert np.array_equal(gradient_image, result)
+
+    def test_annotate_mixed_valid_and_degenerate_boxes(self, gradient_image) -> None:
+        """A degenerate box does not prevent valid boxes from being drawn"""
+        detections = _create_detections(
+            xyxy=[[150, 150, 200, 200], [10, 10, 90, 90]], class_id=[0, 1]
+        )
+        annotator = CropAnnotator()
+
+        result = annotator.annotate(scene=gradient_image.copy(), detections=detections)
+
+        assert not np.array_equal(gradient_image, result)
+
 
 class TestBackgroundOverlayAnnotator:
     """Tests for BackgroundOverlayAnnotator class"""