⬆️ Bump supervision from 0.26.0rc7 to 0.27.0rc0

[dependabot]

Bumps supervision from 0.26.0rc7 to 0.27.0rc0.

Release notes

Sourced from supervision's releases.

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. (roboflow/supervision#1894)
• 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. (roboflow/supervision#1895)
• Fixed issue where sv.MeanAveragePrecision could return negative values when certain object size categories have no data. (roboflow/supervision#1898)
• Fixed match_metric support for sv.Detections.with_nms. (roboflow/supervision#1901)
• Fixed border_thickness parameter usage for sv.PercentageBarAnnotator. (roboflow/supervision#1906)

🏆 Contributors

@​balthazur (Balthasar Huber), @​onuralpszr (Onuralp SEZER), @​rafaelpadilla (Rafael Padilla), @​soumik12345 (Soumik Rakshit), @​SkalskiP (Piotr Skalski)

supervision-0.26.0

[!WARNING]
supervision-0.26.0 drops python3.8 support and upgrade all codes to python3.9 syntax style.

[!TIP] Our docs page now has a fresh look that is consistent with the documentations of all Roboflow open-source projects. (#1858)

🚀 Added

• Added support for creating sv.KeyPoints objects from ViTPose and ViTPose++ inference results via sv.KeyPoints.from_transformers. (#1788)

  vitpose-plus-large.mp4

• Added support for the IOS (Intersection over Smallest) overlap metric that measures how much of the smaller object is covered by the larger one in sv.Detections.with_nms, sv.Detections.with_nmm, sv.box_iou_batch, and sv.mask_iou_batch. (#1774)

  import numpy as np
  import supervision as sv
  boxes_true = np.array([
  [100, 100, 200, 200],
  [300, 300, 400, 400]
  ])
  boxes_detection = np.array([
  [150, 150, 250, 250],
  [320, 320, 420, 420]
  ])
  sv.box_iou_batch(
  boxes_true=boxes_true,
  boxes_detection=boxes_detection,
  overlap_metric=sv.OverlapMetric.IOU
  )
  array([[0.14285714, 0.        ],
  [0.        , 0.47058824]])

... (truncated)

Changelog

Sourced from supervision's changelog.

Changelog

0.26.1 Jul 22, 2025

• Fixed 1894: 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 1895: 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 1898: Issue where sv.MeanAveragePrecision could return negative values when certain object size categories have no data.

• Fixed 1901: match_metric support for sv.Detections.with_nms.

• Fixed 1906: border_thickness parameter usage for sv.PercentageBarAnnotator.

0.26.0 Jul 16, 2025

!!! failure "Removed" supervision-0.26.0 drops python3.8 support and upgrade all codes to python3.9 syntax style.

!!! info "Tip" Supervision’s documentation theme now has a fresh look that is consistent with the documentations of all Roboflow open-source projects. (#1858)

• Added #1774: Support for the IOS (Intersection over Smallest) overlap metric that measures how much of the smaller object is covered by the larger one in sv.Detections.with_nms, sv.Detections.with_nmm, sv.box_iou_batch, and sv.mask_iou_batch.

  import numpy as np
  import supervision as sv
  boxes_true = np.array([
  [100, 100, 200, 200],
  [300, 300, 400, 400]
  ])
  boxes_detection = np.array([
  [150, 150, 250, 250],
  [320, 320, 420, 420]
  ])
  sv.box_iou_batch(
  boxes_true=boxes_true,
  boxes_detection=boxes_detection,
  overlap_metric=sv.OverlapMetric.IOU
  )
  array([[0.14285714, 0.        ],
  [0.        , 0.47058824]])
  sv.box_iou_batch(
  boxes_true=boxes_true,
  boxes_detection=boxes_detection,
  overlap_metric=sv.OverlapMetric.IOS

... (truncated)

Commits

• e139369 bump version from 0.26.1 to 0.27.0rc0
• 90f8582 Merge pull request #1919 from Ashp116/feature/spline-tracer
• 0c9fea4 UPDATE: Change Smooth to bool
• cdca2e6 UPDATE: Removed SplineAnnotator and added smooth flag for TraceAnnotator
• 8407d5a fix(pre_commit): 🎨 auto format pre-commit hooks
• eaf6cdd Precommit
• f447b6f fix(pre_commit): 🎨 auto format pre-commit hooks
• 8c6ac2d UPDATE: Made smoothing and spline_order as hyperparameters
• 22b6d3d ADD: Added a spline annotator
• dda3900 Merge pull request #1917 from roboflow/feat/label-annotator-offset
• Additional commits viewable in compare view

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