0.26.1
supervision-0.26.1
Fixed
- Fixed error in sv.MeanAveragePrecision where the area used for size-specific evaluation (small / medium / large) was always zero unless explicitly provided in sv.Detections.data
- Fixed ID=0 bug in sv.MeanAveragePrecision where objects were getting 0.0 mAP despite perfect IoU matches due to a bug in annotation ID assignment
- Fixed issue where sv.MeanAveragePrecision could return negative values when certain object size categories have no data
- Fixed match_metric support for sv.Detections.with_nms
- Fixed border_thickness parameter usage for sv.PercentageBarAnnotator
🔧 Fixed
- Fixed error in
sv.MeanAveragePrecisionwhere the area used for size-specific evaluation (small / medium / large) was always zero unless explicitly provided insv.Detections.data. (https://github.com/roboflow/supervision/pull/1894) - Fixed
ID=0bug insv.MeanAveragePrecisionwhere objects were getting0.0mAP despite perfect IoU matches due to a bug in annotation ID assignment. (https://github.com/roboflow/supervision/pull/1895) - Fixed issue where
sv.MeanAveragePrecisioncould return negative values when certain object size categories have no data. (https://github.com/roboflow/supervision/pull/1898) - Fixed
match_metricsupport forsv.Detections.with_nms. (https://github.com/roboflow/supervision/pull/1901) - Fixed
border_thicknessparameter usage forsv.PercentageBarAnnotator. (https://github.com/roboflow/supervision/pull/1906)
🏆 Contributors
@balthazur (Balthasar Huber), @onuralpszr (Onuralp SEZER), @rafaelpadilla (Rafael Padilla), @soumik12345 (Soumik Rakshit), @SkalskiP (Piotr Skalski)