- Added `sv.mask_to_roi` as an explicit migration path for exclusive mask bounds
- Fixed COCO, CreateML, and Pascal VOC export validation to reject ambiguous or colliding dataset paths before writing
- Fixed in-memory `DetectionDataset` split and merge behavior
- Fixed `supervision` imports to avoid loading ByteTrack until it is used
- Fixed detection conversion helpers to support coordinate-convention migration while preserving legacy inclusive defaults
- Fixed Azure tag mapping, anchor rounding, and line-zone smoothing to avoid incorrect or ghost detections
- Fixed video processing shutdown handling for timeout and full-queue cases
- Improved downloader, validator, documentation, and regression coverage for the shipped dataset, detection, annotator, image, and video behavior
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
- Added deterministic color lookup with flexible palette resolution and clear errors for empty palettes
- Improved annotator and utility handling for warning formatting, plotting imports, and icon caching
- Added validation for keypoint edges, MediaPipe inputs, and VideoSink state
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* Add explicit selection helpers
* improve typing in detection metrics and update pre-commit dependencies
- Add explicit type annotation for `panel_array` in `_draw_panel` function.
- Update `.pre-commit-config.yaml` to include `tomli>=2.0.1` as an additional dependency for `pyproject-fmt`.
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Add postponed annotations to test modules and modernize one test helper annotation for Python 3.9-compatible collection.
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Co-authored-by: Codex <codex@openai.com>
- ValueError → TypeError in all three ensure_*_image_for_* decorators (conversion.py): the decorator intercepts non-ndarray/PIL inputs before the wrapped body runs, so the inner raises were unreachable; fixing at the decorator level fixes all annotators at once
- Remove 5 dead isinstance guards from key_points/annotators.py and 4 from utils/image.py (all now covered by the decorator fix)
- Remove dead assert isinstance(scene, Image.Image) from RichLabelAnnotator.annotate (ensure_pil_image_for_class_method guarantees PIL.Image before inner body)
- Add @ensure_cv2_image_for_class_method to VertexLabelAnnotator.annotate for PIL parity (only decorated annotator missing it)
- Rewrite tests to call public API directly (no __wrapped__ bypass); replace with TestAnnotatorInputValidation class (parametrized, IDs, AAA) + parametrized test_image_utils_wrong_type_raises
- Add Raises: TypeError sections to all 6 annotator .annotate() docstrings, 4 image util docstrings, and 3 decorator docstrings
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Co-authored-by: jirka <6035284+Borda@users.noreply.github.com>
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
* feat: add with_nms() method to KeyPoints class Derive axis-aligned bounding boxes from valid keypoints and delegate to box_non_max_suppression for filtering. Requires detection_confidence; supports class-aware and class-agnostic modes.
- Add overlap_metric: OverlapMetric = OverlapMetric.IOU param to KeyPoints.with_nms() for API parity with Detections.with_nms()
- Integrate self.visible into keypoint validity: valid = valid & self.visible when visible is not None
- Pass overlap_metric through to box_non_max_suppression
- Fix docstring: add Defaults to for threshold/class_agnostic, threshold range constraint, overlap_metric arg
- Add UnReleased changelog entry
- Add 5 new test cases: all-zero-skeleton-passes-through, visible-mask-excludes-keypoints-from-bbox, single-valid-keypoint-zero-area-bbox, threshold boundary 0.0/1.0
- Add missing raises test: no-detection-confidence-class-agnostic
- Update `with_nms` method to raise `ValueError` instead of `AssertionError` for missing required fields (`detection_confidence`, `class_id` when `class_agnostic=False`).
- Adjust corresponding test to check for `ValueError` with match argument.
---------
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Co-authored-by: jirka <6035284+Borda@users.noreply.github.com>
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- Vectorized `mask_to_xyxy` by replacing per-mask pixel scans with batched occupancy-profile reductions, yielding large speedups while preserving identical outputs
- Added direct test coverage for `mask_to_xyxy`, including edge and corner-pixel mask cases
- Vectorized `KeyPoints.as_detections` by computing all bounding boxes in a single batch operation instead of constructing and merging per-skeleton `Detections`
- Vectorized keypoint-confidence aggregation in `KeyPoints.as_detections` using NumPy reductions
- Preserved exact output behavior for bounding boxes, confidence values, class IDs, metadata, selected-keypoint subsets, and missing-keypoint handling
- Added regression coverage for selected-keypoint indexing, mixed valid/invalid skeleton batches, detection-confidence paths, and confidence aggregation behavior
- Fixed strict mypy typing issues introduced by the vectorized implementations
- Improved documentation for `mask_to_xyxy` and `selected_keypoint_indices` behavior
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
- 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__
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Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
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- Added `KeyPoints.visible` mask support for per-keypoint visibility
- Split confidence into `keypoint_confidence` and `detection_confidence`
- Kept legacy `KeyPoints.confidence` as deprecated forwarding alias
- Updated `KeyPoints` slicing/filtering to preserve visibility and confidence fields
- Fixed `KeyPoints.__getitem__` row-index normalization for NumPy scalar, 0-D array, and boolean indexing
- Fixed `detection_confidence` indexing to use normalized row indices
- Updated `VertexAnnotator` to skip invisible keypoints
- Updated `EdgeAnnotator` to skip invisible keypoints and edges
- Added per-class skeleton support to `EdgeAnnotator`
- Added multi-skeleton support to `VertexLabelAnnotator`
- Added label validation for `VertexLabelAnnotator`
- Added color-list length validation for keypoint annotators
- Added `VertexEllipseAreaAnnotator`
- Added `VertexEllipseOutlineAnnotator`
- Added `VertexEllipseHaloAnnotator`
- Kept/exported `VertexEllipseAnnotator` alongside the new ellipse variants
- Standardized keypoint annotator docstrings and executable examples
- Added/updated `validate_detection_confidence` and `validate_visible`
- Removed/cleaned old keypoint validator shims
- Added regression tests for visibility, confidence fields, multi-skeleton behavior, and indexing edge cases
- Updated helpers and RF-DETR/keypoint tests for the new confidence/visibility model
- Added API design principles to contributing docs
- Ignored local multi-skeleton test script in `.gitignore`
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* Extend docstrings to test cases for enhanced readability and consistency across testing modules
* Extend test case docstrings across multiple modules for improved clarity and consistency
* Refactor test case docstrings for clarity and consistency in `test_annotators.py`
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* refactor: reorganize project structure and update module imports
* configure setuptools to use 'src' layout and adjust package discovery
* refactor: move tests to `tests` directory and update imports accordingly
* update lint and mypy configurations to align with `src` and `tests` structure
* update test imports to use corrected `tests.helpers` module path
* fix(pre_commit): 🎨 auto format pre-commit hooks
Abhijith Neil Abraham
Jirka Borovec
Vikas saini
Piotr Skalski
Ruben
Copilot
Vijay Vignesh