releasing 0.29.0.post0

fix: accept deprecated confidence kwarg in KeyPoints() constructor (#2335 )
- Move conflict ValueError before warn_deprecated so stray warning not emitted on invalid calls (both kwargs passed) - Add backtick-quoted version numbers to deprecation message for style consistency with other warn_deprecated calls in the same class - Make ValueError message actionable: name deprecated param and remedy - Add Google-style docstring to __init__: Args + Raises sections - Fix pre-existing mypy error in detection/core.py (_merge_obb_corners had bare np.ndarray without type args) - Add docstrings to all test methods in TestDeprecatedConfidenceConstructor - Parametrize ValueError test with both kwarg orderings (confidence-first and keypoint-confidence-first) to document order-independence - Add test_constructor_normal_keypoint_confidence_path: confirms custom __init__ initialises all fields and emits no warning on normal path - Add test_constructor_confidence_none_does_not_warn: guards the `if confidence is not None` branch against guard-condition typos - Add test_constructor_data_none_defaults_to_empty_dict: tests the None->{} normalisation path introduced by the custom __init__ - Add test_keypoints_init_covers_all_dataclass_fields: drift guard that asserts dataclasses.fields(KeyPoints) == __init__ params, catching future field additions that forget to update __init__ --------- Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com> Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
2026-06-17 16:24:43 +02:00 · 2026-06-17 16:24:43 +02:00 · 2026-06-17 16:24:43 +02:00 · 2026-06-17 16:24:43 +02:00 · 2026-06-17 16:24:43 +02:00
6 changed files with 342 additions and 99 deletions
@@ -7,17 +7,24 @@ date_modified: 2026-06-15

 ### UnReleased

+
+### 0.29.0.post0 <small>Jun 17, 2026</small>
+
+- Fixed [#2335](https://github.com/roboflow/supervision/pull/2335): `sv.KeyPoints(confidence=...)` now works again. The `0.29.0` refactor accidentally dropped the deprecated `confidence` constructor kwarg; it is now accepted and mapped to `keypoint_confidence` with a deprecation warning.
+
 ### 0.29.0 <small>Jun 15, 2026</small>

 - Added [#2277](https://github.com/roboflow/supervision/pull/2277), [#2286](https://github.com/roboflow/supervision/pull/2286): [`sv.VertexEllipseAreaAnnotator`](https://supervision.roboflow.com/0.29.0/keypoint/annotators/#supervision.key_points.annotators.VertexEllipseAreaAnnotator), [`sv.VertexEllipseOutlineAnnotator`](https://supervision.roboflow.com/0.29.0/keypoint/annotators/#supervision.key_points.annotators.VertexEllipseOutlineAnnotator), and [`sv.VertexEllipseHaloAnnotator`](https://supervision.roboflow.com/0.29.0/keypoint/annotators/#supervision.key_points.annotators.VertexEllipseHaloAnnotator) for visualizing keypoint uncertainty as covariance ellipses. Requires models that output keypoint uncertainty (e.g. RF-DETR keypoint models).

 - Added [#2303](https://github.com/roboflow/supervision/pull/2303): [`sv.oriented_box_non_max_suppression`](https://supervision.roboflow.com/0.29.0/detection/utils/iou_and_nms/#supervision.detection.utils.iou_and_nms.oriented_box_non_max_suppression) and [`sv.oriented_box_non_max_merge`](https://supervision.roboflow.com/0.29.0/detection/utils/iou_and_nms/#supervision.detection.utils.iou_and_nms.oriented_box_non_max_merge) for performing NMS and NMM directly on oriented bounding boxes using oriented-box IoU instead of axis-aligned IoU.

- Added [#2247](https://github.com/roboflow/supervision/pull/2247): [`sv.ConfusionMatrix`](https://supervision.roboflow.com/0.29.0/metrics/detection/#supervision.metrics.detection.ConfusionMatrix) now supports `MetricTarget.ORIENTED_BOUNDING_BOXES`, computing IoU via `oriented_box_iou_batch` on `xyxyxyxy` corners.
+- Added [#2247](https://github.com/roboflow/supervision/pull/2247): [`sv.ConfusionMatrix`](https://supervision.roboflow.com/0.29.0/detection/metrics/#supervision.metrics.detection.ConfusionMatrix) now supports `MetricTarget.ORIENTED_BOUNDING_BOXES`, computing IoU via `oriented_box_iou_batch` on `xyxyxyxy` corners. Previously, OBB inputs silently fell back to axis-aligned bounding-box IoU, producing incorrect match scores for rotated detections.

 - Added [#2252](https://github.com/roboflow/supervision/pull/2252): [`sv.process_video`](https://supervision.roboflow.com/0.29.0/utils/video/#supervision.utils.video.process_video) gains a `preserve_audio` parameter. When enabled, the audio stream from the source video is muxed into the output using ffmpeg.

- Added [#2302](https://github.com/roboflow/supervision/pull/2302), [#2289](https://github.com/roboflow/supervision/pull/2289): [`sv.DetectionDataset.as_yolo`](https://supervision.roboflow.com/0.29.0/datasets/#supervision.dataset.core.DetectionDataset.as_yolo) gains an `is_obb` parameter for exporting oriented bounding box annotations in the YOLO OBB format (9-token lines with 4 corner coordinates).
+- Added [#2302](https://github.com/roboflow/supervision/pull/2302), [#2289](https://github.com/roboflow/supervision/pull/2289): [`sv.DetectionDataset.as_yolo`](https://supervision.roboflow.com/0.29.0/datasets/core/#supervision.dataset.core.DetectionDataset.as_yolo) gains an `is_obb` parameter for exporting oriented bounding box annotations in the YOLO OBB format (9-token lines with 4 corner coordinates).
+
+- Added [#2312](https://github.com/roboflow/supervision/pull/2312): [`sv.xyxyxyxy_to_xyxy`](https://supervision.roboflow.com/0.29.0/detection/utils/boxes/#supervision.detection.utils.boxes.xyxyxyxy_to_xyxy) — vectorised utility that converts oriented bounding box corners `(N, 4, 2)` to axis-aligned bounding boxes `(N, 4)`.

 - Changed [#2286](https://github.com/roboflow/supervision/pull/2286): [`sv.KeyPoints`](https://supervision.roboflow.com/0.29.0/keypoint/core/#supervision.key_points.core.KeyPoints) now separates keypoint-level and detection-level confidence into distinct fields: `keypoint_confidence` (shape `(n, m)`) and `detection_confidence` (shape `(n,)`). A new `visible` mask (shape `(n, m)`) controls per-keypoint visibility. The legacy `KeyPoints.confidence` property still works but is deprecated.

@@ -25,29 +32,33 @@ date_modified: 2026-06-15

 - Changed [#2286](https://github.com/roboflow/supervision/pull/2286): [`sv.EdgeAnnotator`](https://supervision.roboflow.com/0.29.0/keypoint/annotators/#supervision.key_points.annotators.EdgeAnnotator) and [`sv.VertexLabelAnnotator`](https://supervision.roboflow.com/0.29.0/keypoint/annotators/#supervision.key_points.annotators.VertexLabelAnnotator) now support per-class skeleton definitions, enabling correct rendering when multiple skeleton topologies (e.g. person + animal) coexist in one frame.

- Changed [#2303](https://github.com/roboflow/supervision/pull/2303): [`sv.Detections.with_nms`](https://supervision.roboflow.com/0.29.0/detection/core/#supervision.detection.core.Detections.with_nms) and [`sv.Detections.with_nmm`](https://supervision.roboflow.com/0.29.0/detection/core/#supervision.detection.core.Detections.with_nmm) now use oriented-box IoU when `data["xyxyxyxy"]` coordinates are present, instead of axis-aligned box IoU.
+- Changed [#2303](https://github.com/roboflow/supervision/pull/2303): [`sv.Detections.with_nms`](https://supervision.roboflow.com/0.29.0/detection/core/#supervision.detection.core.Detections.with_nms) and [`sv.Detections.with_nmm`](https://supervision.roboflow.com/0.29.0/detection/core/#supervision.detection.core.Detections.with_nmm) now use oriented-box IoU when `data["xyxyxyxy"]` coordinates are present, instead of axis-aligned box IoU. Callers relying on the previous axis-aligned behaviour should remove `data["xyxyxyxy"]` before calling, or recalibrate any IoU thresholds.

 - Changed [#2312](https://github.com/roboflow/supervision/pull/2312): [`sv.Detections.with_nmm`](https://supervision.roboflow.com/0.29.0/detection/core/#supervision.detection.core.Detections.with_nmm) now computes the merged oriented bounding box as the tightest rectangle at the winner's orientation enclosing all corners from every detection in a merge group.

+- Changed [#2325](https://github.com/roboflow/supervision/pull/2325): [`sv.VertexEllipseAreaAnnotator`](https://supervision.roboflow.com/0.29.0/keypoint/annotators/#supervision.key_points.annotators.VertexEllipseAreaAnnotator), [`sv.VertexEllipseOutlineAnnotator`](https://supervision.roboflow.com/0.29.0/keypoint/annotators/#supervision.key_points.annotators.VertexEllipseOutlineAnnotator), and [`sv.VertexEllipseHaloAnnotator`](https://supervision.roboflow.com/0.29.0/keypoint/annotators/#supervision.key_points.annotators.VertexEllipseHaloAnnotator) now draw sigma levels level-by-level (outermost first) across all points, ensuring correct visual layering when ellipses overlap.
+
 - Changed [#2306](https://github.com/roboflow/supervision/pull/2306): [`sv.Detections.area`](https://supervision.roboflow.com/0.29.0/detection/core/#supervision.detection.core.Detections.area) now returns the polygon area of the rotated bounding box (via the shoelace formula) when oriented box coordinates are present, instead of the axis-aligned box area.

 - Changed [#2256](https://github.com/roboflow/supervision/pull/2256): [`sv.InferenceSlicer`](https://supervision.roboflow.com/0.29.0/detection/tools/inference_slicer/#supervision.detection.tools.inference_slicer.InferenceSlicer) now detects OBB outputs from callbacks and automatically falls back to sequential processing to avoid thread-safety issues when `thread_workers > 1`.

- Fixed [#2282](https://github.com/roboflow/supervision/pull/2282): [`sv.oriented_box_iou_batch`](https://supervision.roboflow.com/0.29.0/detection/utils/iou_and_nms/#supervision.detection.utils.iou_and_nms.oriented_box_iou_batch) now correctly handles non-square canvases. Previously, rasterization assumed square dimensions, leading to incorrect IoU values for tall or wide images.
+- Changed [#2324](https://github.com/roboflow/supervision/pull/2324): Project-wide deprecation policy unified to a minimum 3-minor-release window. All current deprecations (including `KeyPoints.confidence` and `validate_*` helpers) are scheduled for removal in `0.32.0`.

 - Fixed [#2252](https://github.com/roboflow/supervision/pull/2252): [`sv.process_video`](https://supervision.roboflow.com/0.29.0/utils/video/#supervision.utils.video.process_video) audio muxing path now correctly creates temp files on the same filesystem, decodes ffmpeg errors, and avoids muxing incomplete output.

+- Fixed [#2282](https://github.com/roboflow/supervision/pull/2282), [#2317](https://github.com/roboflow/supervision/pull/2317): [`sv.oriented_box_iou_batch`](https://supervision.roboflow.com/0.29.0/detection/utils/iou_and_nms/#supervision.detection.utils.iou_and_nms.oriented_box_iou_batch) now computes exact IoU via convex polygon intersection (`cv2.intersectConvexConvex`) and uses an axis-aligned bounding box envelope gate to skip pairs that cannot overlap, improving both accuracy and performance. Previously, rasterization on a discrete grid was used, which assumed square dimensions and introduced quantisation noise.
+
 - Fixed [#2239](https://github.com/roboflow/supervision/pull/2239): [`sv.Detections.from_vlm`](https://supervision.roboflow.com/0.29.0/detection/core/#supervision.detection.core.Detections.from_vlm) no longer returns `None` for `class_id` on empty VLM parses; now returns an empty int ndarray.

 - Fixed [#2270](https://github.com/roboflow/supervision/pull/2270): [`sv.Detections.from_inference`](https://supervision.roboflow.com/0.29.0/detection/core/#supervision.detection.core.Detections.from_inference) now preserves `class_name` as a string-dtype array when predictions are empty.

- Fixed [#2269](https://github.com/roboflow/supervision/pull/2269): [`sv.HeatMapAnnotator`](https://supervision.roboflow.com/0.29.0/annotators/#supervision.annotators.core.HeatMapAnnotator) no longer crashes with a divide-by-zero when called with empty detections.
+- Fixed [#2269](https://github.com/roboflow/supervision/pull/2269): [`sv.HeatMapAnnotator`](https://supervision.roboflow.com/0.29.0/detection/annotators/#supervision.annotators.core.HeatMapAnnotator) no longer crashes with a divide-by-zero when called with empty detections.

 - Fixed [#2276](https://github.com/roboflow/supervision/pull/2276): COCO export now emits 1-indexed `category_id` values as required by the COCO specification.

 - Fixed [#2267](https://github.com/roboflow/supervision/pull/2267): COCO annotation and image IDs are now sequential across train/val/test splits via `starting_image_id` and `starting_annotation_id` parameters.

- Fixed [#2289](https://github.com/roboflow/supervision/pull/2289): [`sv.DetectionDataset.as_yolo`](https://supervision.roboflow.com/0.29.0/datasets/#supervision.dataset.core.DetectionDataset.as_yolo) no longer loses OBB rotation when exporting oriented bounding boxes.
+- Fixed [#2289](https://github.com/roboflow/supervision/pull/2289): [`sv.DetectionDataset.as_yolo`](https://supervision.roboflow.com/0.29.0/datasets/core/#supervision.dataset.core.DetectionDataset.as_yolo) no longer loses OBB rotation when exporting oriented bounding boxes.

 - Fixed [#2296](https://github.com/roboflow/supervision/pull/2296): YOLO dataset loading now sorts class names by numeric keys when `data.yaml` uses integer class IDs.

@@ -55,6 +66,8 @@ date_modified: 2026-06-15

 - Fixed [#2298](https://github.com/roboflow/supervision/pull/2298): File extension filters now normalize casing (e.g. `.JPG` matches `.jpg`).

+- Fixed [#2321](https://github.com/roboflow/supervision/pull/2321): [`sv.DetectionDataset.as_coco()`](https://supervision.roboflow.com/0.29.0/datasets/core/#supervision.dataset.core.DetectionDataset.as_coco) now round-trips polygon and RLE segmentation data. Segmentations loaded from COCO annotations are preserved in `detections.data["coco_raw_segmentation"]` and written back on export, preventing data loss in train/val/test split workflows.
+
 - Deprecated: `KeyPoints.confidence` (use `KeyPoints.keypoint_confidence`), `merge_inner_detection_object_pair`, `merge_inner_detections_objects`, `merge_inner_detections_objects_without_iou`, `validate_detections_fields`, `validate_vlm_parameters`, `validate_fields_both_defined_or_none`, `validate_xyxy`, `validate_mask`, `validate_class_id`, `validate_confidence`, `validate_tracker_id`, `validate_data`, `validate_xy`, `validate_key_point_confidence`, `validate_key_points_fields`, `validate_resolution`, `validate_custom_values`, `validate_input_tensors`, and `validate_labels` are deprecated in `0.29.0` and will be removed in `0.32.0`.

 ### 0.28.0 <small>Apr 30, 2026</small>
@@ -77,8 +90,6 @@ date_modified: 2026-06-15

 - Added [#932](https://github.com/roboflow/supervision/pull/932): [`sv.ImageAssets`](https://supervision.roboflow.com/latest/assets/) for downloading sample images alongside existing video assets, useful for examples and tutorials.

- Added [#2247](https://github.com/roboflow/supervision/pull/2247): [`sv.ConfusionMatrix`](https://supervision.roboflow.com/metrics/detection/#confusionmatrix) now accepts `metric_target=MetricTarget.ORIENTED_BOUNDING_BOXES`, computing IoU via `oriented_box_iou_batch` over `xyxyxyxy` coordinates. Previously, OBB inputs silently fell back to axis-aligned bounding-box IoU, producing incorrect match scores for rotated detections.
-
 - Changed [#2169](https://github.com/roboflow/supervision/pull/2169): [`sv.MeanAveragePrecisionResult`](https://supervision.roboflow.com/latest/metrics/mean_average_precision/) and related metric arrays (`mAP_scores`, `ap_per_class`, `iou_thresholds`, precision/recall) are now `float32` instead of `float64`. Reduces memory and speeds up computation; numerical results may differ in the last few digits.

 - Changed [#2178](https://github.com/roboflow/supervision/pull/2178): [`sv.rle_to_mask`](https://supervision.roboflow.com/latest/detection/utils/converters/#supervision.detection.utils.converters.rle_to_mask) and [`sv.mask_to_rle`](https://supervision.roboflow.com/latest/detection/utils/converters/#supervision.detection.utils.converters.mask_to_rle) moved to `supervision.detection.utils.converters`. The old import path `supervision.dataset.utils` continues to work but is deprecated.
@@ -4,7 +4,7 @@ requires = [ "setuptools>=61" ]

 [project]
 name = "supervision"
-version = "0.29.0"
+version = "0.29.0.post0"
 description = "A set of easy-to-use utils that will come in handy in any Computer Vision project"
 readme = "README.md"
 keywords = [
@@ -2632,7 +2632,9 @@ class Detections:
        return Detections.merge(result)


-def _merge_obb_corners(corners_list: list[np.ndarray]) -> npt.NDArray[np.floating]:
+def _merge_obb_corners(
+    corners_list: list[npt.NDArray[np.floating]],
+) -> npt.NDArray[np.floating]:
    """Merge multiple OBB corner arrays using winner-angle projection.

    The first entry in *corners_list* is the winner. Its orientation angle
@@ -67,7 +67,7 @@ def _normalize_row_index(
    return i


-@dataclass
+@dataclass(init=False)
 class KeyPoints:
    """
    The `sv.KeyPoints` class in the Supervision library standardizes results from
@@ -238,6 +238,59 @@ class KeyPoints:
    visible: npt.NDArray[np.bool_] | None = None
    data: dict[str, npt.NDArray[np.generic] | list[Any]] = field(default_factory=dict)

+    def __init__(
+        self,
+        xy: npt.NDArray[np.float32],
+        class_id: npt.NDArray[np.int_] | None = None,
+        keypoint_confidence: npt.NDArray[np.float32] | None = None,
+        detection_confidence: npt.NDArray[np.float32] | None = None,
+        visible: npt.NDArray[np.bool_] | None = None,
+        data: dict[str, npt.NDArray[np.generic] | list[Any]] | None = None,
+        *,
+        confidence: npt.NDArray[np.float32] | None = None,
+    ) -> None:
+        """Initialize KeyPoints.
+
+        Args:
+            xy: Array of shape `(n, m, 2)` with keypoint coordinates.
+            class_id: Array of shape `(n,)` with class IDs. Defaults to None.
+            keypoint_confidence: Array of shape `(n, m)` with per-keypoint
+                confidence scores. Defaults to None.
+            detection_confidence: Array of shape `(n,)` with detection-level
+                confidence scores. Defaults to None.
+            visible: Boolean array of shape `(n, m)` indicating visible
+                keypoints. Defaults to None.
+            data: Dictionary of additional per-detection data arrays.
+                Defaults to an empty dict.
+            confidence: Deprecated since `0.29.0`, removed in `0.32.0`.
+                Use ``keypoint_confidence`` instead. Raises ``ValueError``
+                if passed together with ``keypoint_confidence``.
+
+        Raises:
+            ValueError: If both ``confidence`` and ``keypoint_confidence``
+                are provided.
+        """
+        if confidence is not None:
+            if keypoint_confidence is not None:
+                raise ValueError(
+                    "Cannot pass both 'confidence' and 'keypoint_confidence'. "
+                    "'confidence' is deprecated — use 'keypoint_confidence' only."
+                )
+            warn_deprecated(
+                "'confidence' parameter in `KeyPoints()` is deprecated since "
+                "`0.29.0` and will be removed in `0.32.0`. Use "
+                "'keypoint_confidence' instead."
+            )
+            keypoint_confidence = confidence
+
+        self.xy = xy
+        self.class_id = class_id
+        self.keypoint_confidence = keypoint_confidence
+        self.detection_confidence = detection_confidence
+        self.visible = visible
+        self.data = data if data is not None else {}
+        self.__post_init__()
+
    def __post_init__(self) -> None:
        _validate_keypoints_fields(
            xy=self.xy,
@@ -925,3 +925,91 @@ def test_from_mediapipe_input(mediapipe_results, resolution_wh, expected_key_poi
        mediapipe_results, resolution_wh=resolution_wh
    )
    assert key_points == expected_key_points
+
+
+class TestDeprecatedConfidenceConstructor:
+    """Tests for backward-compatible `confidence=` kwarg in KeyPoints()."""
+
+    def test_constructor_accepts_and_warns_on_deprecated_confidence_kwarg(self):
+        """Deprecated confidence= warns and maps value to keypoint_confidence."""
+        from supervision.utils.internal import SupervisionWarnings
+
+        xy = np.array([[[1.0, 2.0], [3.0, 4.0]]], dtype=np.float32)
+        confidence = np.array([[0.9, 0.8]], dtype=np.float32)
+
+        with pytest.warns(SupervisionWarnings, match="deprecated since"):
+            key_points = KeyPoints(xy=xy, confidence=confidence)
+
+        np.testing.assert_array_equal(key_points.keypoint_confidence, confidence)
+        assert key_points.xy is xy
+
+    @pytest.mark.parametrize(
+        "kwargs",
+        [
+            pytest.param(
+                {"confidence": None, "keypoint_confidence": None},
+                id="confidence-first",
+            ),
+            pytest.param(
+                {"keypoint_confidence": None, "confidence": None},
+                id="keypoint-confidence-first",
+            ),
+        ],
+    )
+    def test_constructor_rejects_both_confidence_and_keypoint_confidence(
+        self, kwargs: dict
+    ):
+        """ValueError raised regardless of kwarg order when both are passed."""
+        xy = np.array([[[1.0, 2.0], [3.0, 4.0]]], dtype=np.float32)
+        confidence_arr = np.array([[0.9, 0.8]], dtype=np.float32)
+        actual_kwargs = {k: confidence_arr for k in kwargs}
+
+        with pytest.raises(ValueError, match="Cannot pass both"):
+            KeyPoints(xy=xy, **actual_kwargs)
+
+    def test_constructor_normal_keypoint_confidence_path(self):
+        """Normal keypoint_confidence= path works and emits no deprecation warning."""
+        import warnings
+
+        xy = np.array([[[1.0, 2.0], [3.0, 4.0]]], dtype=np.float32)
+        kp_conf = np.array([[0.9, 0.8]], dtype=np.float32)
+
+        with warnings.catch_warnings():
+            warnings.simplefilter("error")
+            kp = KeyPoints(xy=xy, keypoint_confidence=kp_conf)
+
+        np.testing.assert_array_equal(kp.keypoint_confidence, kp_conf)
+        assert kp.data == {}
+
+    def test_constructor_confidence_none_does_not_warn(self):
+        """Explicit confidence=None is silently ignored — no warning emitted."""
+        import warnings
+
+        xy = np.array([[[1.0, 2.0], [3.0, 4.0]]], dtype=np.float32)
+
+        with warnings.catch_warnings():
+            warnings.simplefilter("error")
+            kp = KeyPoints(xy=xy, confidence=None)
+
+        assert kp.keypoint_confidence is None
+
+    def test_constructor_data_none_defaults_to_empty_dict(self):
+        """Explicit data=None normalizes to empty dict, not None."""
+        xy = np.array([[[1.0, 2.0]]], dtype=np.float32)
+
+        assert KeyPoints(xy=xy).data == {}
+        assert KeyPoints(xy=xy, data=None).data == {}
+
+    def test_keypoints_init_covers_all_dataclass_fields(self):
+        """Custom __init__ must assign every dataclass field — guards against drift."""
+        import dataclasses
+        import inspect
+
+        field_names = {f.name for f in dataclasses.fields(KeyPoints)}
+        init_params = set(inspect.signature(KeyPoints.__init__).parameters) - {
+            "self",
+            "confidence",
+        }
+        assert field_names == init_params, (
+            f"Field/init drift: {field_names.symmetric_difference(init_params)}"
+        )
@@ -12,8 +12,10 @@ resolution-markers = [
    "python_full_version == '3.10.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
    "(python_full_version == '3.10.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.10.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
    "python_full_version < '3.10' and platform_machine == 'arm64' and sys_platform == 'darwin'",
-    "python_full_version < '3.10' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version < '3.10' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version < '3.10' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.10' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version > '3.9' and python_full_version < '3.10' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "python_full_version <= '3.9' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version > '3.9' and python_full_version < '3.10' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version > '3.9' and python_full_version < '3.10' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version > '3.9' and python_full_version < '3.10' and sys_platform != 'darwin' and sys_platform != 'linux')",
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 version = "3.4.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "more-itertools" },
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+[[package]]
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+]
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+wheels = [
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 [[package]]
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+    "python_full_version == '3.10.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.10.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
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+    "python_full_version < '3.10' and platform_machine == 'arm64' and sys_platform == 'darwin'",
+    "python_full_version > '3.9' and python_full_version < '3.10' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version > '3.9' and python_full_version < '3.10' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version > '3.9' and python_full_version < '3.10' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version > '3.9' and python_full_version < '3.10' and sys_platform != 'darwin' and sys_platform != 'linux')",
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+    "python_full_version > '3.9' and python_full_version < '3.10' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "python_full_version <= '3.9' and platform_machine == 'aarch64' and sys_platform == 'linux'",
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+    "(python_full_version <= '3.9' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version <= '3.9' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version <= '3.9' and sys_platform != 'darwin' and sys_platform != 'linux')",
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+    "(python_full_version <= '3.9' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version <= '3.9' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version <= '3.9' and sys_platform != 'darwin' and sys_platform != 'linux')",
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+[[package]]
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+
 [[package]]
 name = "pydeprecate"
 version = "0.9.0"
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+    "python_full_version > '3.9' and python_full_version < '3.10' and platform_machine == 'aarch64' and sys_platform == 'linux'",
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+    "(python_full_version <= '3.9' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version <= '3.9' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version <= '3.9' and sys_platform != 'darwin' and sys_platform != 'linux')",
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+[[package]]
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+]
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+]
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+
 [[package]]
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Author	SHA1	Message	Date
jirka	8caacebb96	releasing `0.29.0.post0`	2026-06-17 16:24:43 +02:00
Piotr Skalski Jirka Borovec Copilot Autofix powered by AI claude[bot]	09d9808179	fix: accept deprecated `confidence` kwarg in `KeyPoints()` constructor (#2335 ) - Move conflict ValueError before warn_deprecated so stray warning not emitted on invalid calls (both kwargs passed) - Add backtick-quoted version numbers to deprecation message for style consistency with other warn_deprecated calls in the same class - Make ValueError message actionable: name deprecated param and remedy - Add Google-style docstring to __init__: Args + Raises sections - Fix pre-existing mypy error in detection/core.py (_merge_obb_corners had bare np.ndarray without type args) - Add docstrings to all test methods in TestDeprecatedConfidenceConstructor - Parametrize ValueError test with both kwarg orderings (confidence-first and keypoint-confidence-first) to document order-independence - Add test_constructor_normal_keypoint_confidence_path: confirms custom __init__ initialises all fields and emits no warning on normal path - Add test_constructor_confidence_none_does_not_warn: guards the `if confidence is not None` branch against guard-condition typos - Add test_constructor_data_none_defaults_to_empty_dict: tests the None->{} normalisation path introduced by the custom __init__ - Add test_keypoints_init_covers_all_dataclass_fields: drift guard that asserts dataclasses.fields(KeyPoints) == __init__ params, catching future field additions that forget to update __init__ --------- Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com> Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>	2026-06-17 16:24:43 +02:00
Jirka Borovec	b44810b03c	docs(changelog): backfill missing `0.29.0` entries and fix duplicate (#2329 )	2026-06-17 16:24:43 +02:00
Jirka Borovec	c580730a08	docs: fix broken links in changelog file (#2328 )	2026-06-17 16:24:43 +02:00
dependabot[bot]	ea3b51feb4	⬆️ Bump the uv group across 1 directory with 2 updates (#2326 ) Bumps the uv group with 2 updates in the / directory: [cryptography](https://github.com/pyca/cryptography) and [tornado](https://github.com/tornadoweb/tornado). Updates `cryptography` from 46.0.7 to 48.0.1 - [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst) - [Commits](https://github.com/pyca/cryptography/compare/46.0.7...48.0.1) Updates `tornado` from 6.5.6 to 6.5.7 - [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst) - [Commits](https://github.com/tornadoweb/tornado/compare/v6.5.6...v6.5.7) --- updated-dependencies: - dependency-name: cryptography dependency-version: 48.0.1 dependency-type: indirect - dependency-name: tornado dependency-version: 6.5.7 dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2026-06-17 16:24:43 +02:00