Re-verify remaining supervision review backlog against develop HEAD; most items were already resolved by an intervening commit, only genuinely-open gaps got new fixes.
Fix float32 precision loss in box_iou_batch for large coordinates (GeoTIFF-scale) by accumulating in float64.
Raise ValueError instead of a strippable assert in EvaluationDataset.load_predictions for unknown image ids.
Add HeatMapAnnotator.reset() to clear accumulated heat for annotator reuse.
Add missing coverage: labelme export basename collisions, _greedy_match matcher, metrics.core ABC/enum contracts, metrics.utils.utils pandas guard; remove a global RNG-seed pollution site in a metrics test.
Document the last two undocumented public exports (calculate_masks_centroids, is_compressed_rle) and add usage examples to 17 previously-example-less public functions/classes (NMS/NMM helpers, draw utils, PolygonZoneAnnotator, mask/polygon converters).
* tests: load_predictions ValueError branch + empty-dataset coverage
* fix: box_iou_batch int-dtype overflow, narrow float32 precision claim
* feat: add reset() to TraceAnnotator/DetectionsSmoother, fix docstrings
* docs: fix temp file leak in coco.py docstring, rename misnamed test
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
Co-authored-by: OpenAI Codex <codex@openai.com>
- 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: Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
- Fixed detection medium findings across adapters, mask non-max merge, sinks, segmentation parsing, LineZone history, and mask ROI handling
- Fixed mask non-max merge deprecation warnings to honor the standard warning opt-out and include version context
- Fixed mask non-max merge validation for invalid IoU thresholds
- Fixed CompactMask non-max merge grouping to update merged mask candidates correctly
- Fixed selected and compacted detections to copy arrays and metadata, preventing mutations from leaking back to source detections
- Fixed LineZone crossing history eviction to tolerate short tracking gaps and evict stale state per tracker/class key
- Fixed semantic segmentation handling to preserve class ID 0
- Improved mask ROI conversion performance by avoiding unnecessary full-frame copies and repeated scans
- Updated JSONSink changelog/docs to document native bool/int/float output while leaving CSVSink unchanged
- Updated detection docstrings for mask parsing, selection copy semantics, validation errors, and argument readability guidance
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
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- `from_tensorflow` scaled boxes in place on the array returned by `.numpy()`, which can share memory with the source tensor — corrupting caller data and double-scaling on a repeat call; copy before scaling
- `from_lmm` raised a bare `KeyError` for `MOONDREAM` and `QWEN_3_VL`, which the enum and docstring advertise; map both to their `VLM` members
- `from_deepseek_vl_2` returned a `(0,)`-shaped `xyxy` on empty output, so a zero-detection response crashed the `Detections` constructor; return `(0, 4)` like the other parsers
- `extract_ultralytics_masks` binarized bilinear-resized masks with `> 0`, dilating every mask at object boundaries; threshold at 0.5 to match Ultralytics
- add connector coverage: fake-result shims and round-trip tests (N>1, N=1, empty) for the nine previously untested `from_*` connectors and the `detection/tools/transformers.py` processors; one empty-`segments_info` panoptic case is xfail-marked pending a separate fix
* test(ci-fix): drop deprecated Pillow mode arg from panoptic helpers
* test(coverage): add from_qwen_3_vl end-to-end parametrized tests
* test(quality): harden test isolation, xfail strictness, and kwarg forwarding
* fix(detection): fix class_name empty dtype; annotate mask threshold asymmetry
* chore: ruff-format cleanup (blank lines)
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
- Port OBB sequential fallback to batch path (same guard as single-image path)
- Port compact_masks RLE compression into _run_callback_batch
- Port out-of-slice-bounds SupervisionWarnings to _run_callback_batch
- Add list-type and length-match guard before zip in _run_callback_batch
- Add OBB-with-thread_workers warning to batch path
- Widen callback param annotation to union of single-image and batch signatures
- Update class docstring: dual callback contract, batch_size arg, new Raises, usage example
- Remove redundant list() re-wraps in batch execution path
- Add TestInferenceSlicerBatch: 12 parametrised tests covering all new batch behaviours
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Co-authored-by: Linas Kondrackis <linas.ko+dev@skiff.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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InferenceSlicer can now accept an open rasterio-style dataset and read each tile via a windowed read instead of loading the whole image into memory, enabling tiled inference on multi-GB aerial/drone GeoTIFFs. Detection is duck-typed so rasterio stays an optional dependency (supervision[geotiff]) and the library imports no rasterio symbols. Adds CRS projected validation and tests. Closes#2027.
- Add threading.Lock around raster.read() in _run_callback to prevent
data race when thread_workers > 1 shares a DatasetReader (GDAL releases
GIL inside GDALRasterIO — reads are genuinely concurrent C code)
- Return TypeGuard[WindowedRasterDataset] from _is_windowed_raster;
TYPE_CHECKING guard imports typing_extensions for Python 3.9 compat
- Add @runtime_checkable to WindowedRasterDataset Protocol; crs typed
as object|None; guard .is_projected via getattr(..., True)
- Extract _get_resolution_wh and _apply_overlap_filter helpers from
__call__ to bring cyclomatic complexity under PLR0912 limit (16 → ~4)
- Widen callback type to Callable[[NDArray[Any]], Detections] to accept
any dtype (uint16 raster tiles are not NDArray[uint8])
- Add Raises section to __call__ docstring for geographic CRS ValueError
- Add one-line summary to move_detections docstring
- Export WindowedRasterDataset from sv.__init__
- Move changelog entry from 0.29.1 (released) to UnReleased
- Add comment explaining rasterio>=1.3 lower bound in pyproject.toml
- Restructure tests: class grouping, parametrize CRS cases, add
docstrings; add compact_masks, thread_workers>1, single-band,
single-tile test cases
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- Fixed `DetectionsSmoother` to work with detections that have no confidence scores
- Changed confidence aggregation to average only the confidence values that are present, leaving confidence as `None` when no values exist
- Fixed smoothing of mixed-confidence tracks (some frames with confidence, some without) while preserving available confidence information
- Fixed crashes when merging smoothed tracks that disagree on confidence availability by normalizing confidence fields before merge
- Added regression coverage for no-confidence, mixed-confidence, multi-track, full-window, and tracker-id-missing scenarios
- Updated documentation and changelog to reflect the new confidence-handling behavior
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Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
When a user's callback accidentally runs inference on the full image instead
of the provided slice, detections get incorrect offsets applied, causing a
repeating grid pattern. Add a validation check in _run_callback that emits a
SupervisionWarnings warning when any detection coordinate exceeds the slice
dimensions or is negative. An instance flag prevents repeated warnings across
many slices.
- Wrap _out_of_slice_bounds_warned check-and-set in threading.Lock to prevent duplicate warnings under ThreadPoolExecutor with thread_workers > 1
- Change stacklevel=2 to stacklevel=1 — under executor.submit the stacklevel=2 frame points into concurrent.futures internals, not user code
- Assert exactly 1 warning fires with thread_workers=4 (validates Lock fix)
- Assert no warning for detection touching but not exceeding slice boundary (pins > vs >= semantics)
- Assert second slicer call does not re-warn (documents once-per-instance semantic)
- Extract warning message into `msg` variable to satisfy E501 line-length limit
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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
Jirka Borovec
LinasKo
Madhav-C
Ruben
Agis Kounelis
Copilot