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docs: reformat entries in changelog for improved readability

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jirka 2026-06-17 22:41:17 +02:00
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@ -7,20 +7,13 @@ date_modified: 2026-06-15
### UnReleased
- Fixed [#2334](https://github.com/roboflow/supervision/pull/2334): `sv.JSONSink` now
serializes NumPy scalars (e.g. `np.int64` frame indices) in `custom_data` as JSON
numbers instead of raising `TypeError` at close time. File handle is now guaranteed
to close even when serialization fails.
- Fixed [#2334](https://github.com/roboflow/supervision/pull/2334): `sv.JSONSink` now serializes NumPy scalars (e.g. `np.int64` frame indices) in `custom_data` as JSON numbers instead of raising `TypeError` at close time. File handle is now guaranteed to close even when serialization fails.
- 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.
- Fixed [#2322](https://github.com/roboflow/supervision/pull/2322): COCO export now preserves all polygon parts for multi-component masks. Previously, only the first polygon was written when a non-crowd mask had disjoint segments; all parts are now included.
- Fixed [#2333](https://github.com/roboflow/supervision/pull/2333):
[`sv.DetectionsSmoother`](https://supervision.roboflow.com/latest/detection/tools/smoother/#supervision.detection.tools.smoother.DetectionsSmoother)
no longer raises when smoothing detections without `confidence`. Confidence is now
averaged over the frames that carry it; when tracks in the same frame disagree on
confidence presence, `confidence` is set to `None` for all smoothed detections.
- Fixed [#2333](https://github.com/roboflow/supervision/pull/2333): [`sv.DetectionsSmoother`](https://supervision.roboflow.com/latest/detection/tools/smoother/#supervision.detection.tools.smoother.DetectionsSmoother) no longer raises when smoothing detections without `confidence`. Confidence is now averaged over the frames that carry it; when tracks in the same frame disagree on confidence presence, `confidence` is set to `None` for all smoothed detections.
- Fixed [#2331](https://github.com/roboflow/supervision/pull/2331): `sv.Precision` and `sv.F1Score` now count predictions on background images (empty target set) as false positives, and count predictions of classes absent from ground truth as false positives under `MICRO` and `MACRO` averaging. Previously both edge cases were silently ignored, inflating scores. `WEIGHTED` averaging is unchanged — absent classes retain weight 0, consistent with scikit-learn. Users relying on previous scores should re-evaluate after upgrading; no API change is required.