Text fallback now renders through Pillow with the DejaVu Sans face
resolved via matplotlib font_manager, replacing the Hershey stroke-font
reader; getTextSize metrics derive from the same font and differ from
OpenCV within the documented visual-divergence tier.
Remove the packaged Hershey glyph data (hershey_fonts.json, provenance,
license) and its _cv2/data package-data entry.
Delete unused fallbacks: _geometry _fill_poly and _point_in_polygon
(live fillPoly is the Pillow one in _drawing) and _common _unavailable.
Replace test_hershey with Pillow-oriented test_text, drop test_common,
and point test_contours/test_geometry at _drawing._fill_poly. Document
the fallback text-backend change in the changelog.
---------
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
- Add the PyAV-backed file-video and audio fallback to the compatibility layer.
- Declare PyAV alongside OpenCV until the final dependency-removal integration.
- _VideoWriter now rejects is_color=False (NotImplementedError) instead of
silently dropping it, since the PyAV fallback only encodes 3-channel frames.
- _mux_audio cleanup (container closes, temp-file removal) is now best-effort
so a failing close/remove in finally can no longer mask the primary result
or the original exception.
- The subprocess used to validate the cv2-free fallback had no timeout;
a hang (import deadlock, codec probe stall) could block the whole CI
run. Added a 60s timeout so a hang fails fast with a clear traceback
instead of an opaque suite-wide stall.
- process_video(preserve_audio=True) docstring still described the old
ffmpeg-based muxing; audio remuxing was reimplemented with PyAV and no
longer requires an external ffmpeg executable.
- get_video_frames_generator's documented webcam fallback
(`_cv2.VideoCapture(0)`) silently fails under the PyAV backend: the
BackendUnavailableError raised for integer sources was swallowed with no
logging, so isOpened() just returns False with zero diagnostic signal.
Doc note now states the limitation explicitly and the capture logs a
warning instead of failing silently.
---------
Co-authored-by: Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
- Added `sv.ImageWindow`, a Tkinter/Pillow-based desktop image viewer with BGR, grayscale, and BGRA support, keyboard polling, left-click callbacks, context-manager usage, window-state checks, and clean close handling
- Added responsive image resizing with optional aspect-ratio preservation and correctly mapped mouse coordinates after scaling or letterboxing
- Updated compatible runnable examples to use `sv.ImageWindow`, while retaining OpenCV display APIs for worker-thread streaming examples that are incompatible with Tkinter
- Improved `sv.cv2_to_pillow` to support grayscale and BGRA images
- Updated webcam guidance to clarify capture ownership and explicit `VideoCapture` cleanup
- Fixed image-window event handling to prevent stale keypresses, ghost windows, close-time races, and blocked waits after the window closes
---------
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.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
---------
Co-authored-by: Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
- Avoid mutating caller-owned Detections during dataset construction and reject invalid class ids with clear ValueErrors.
- Make COCO loading/export tolerant of missing optional metadata, add from_coco(use_iscrowd), and export mask pixel area when needed.
- Let folder-structure and YOLO loading skip common clutter and accept PIL-readable image modes with regression coverage.
- Preserve from_coco positional show_progress compatibility while keeping use_iscrowd keyword-only.
- Filter class-folder loading to image files and export missing COCO mask area from decoded masks.
- Add regression coverage, changelog updates, and types-tqdm for mypy.
---------
Co-authored-by: Codex <codex@openai.com>
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
---------
Co-authored-by: madhavcodez <madhavcodez@users.noreply.github.com>
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
Co-authored-by: Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
- Mark `ByteTrack` as deprecated using `@deprecated_class`.
- Add deprecation details and alternatives in the class docstring.
- Update version annotations for deprecation (`deprecated_in="0.28.0"`, `remove_in="0.30.0"`).
* refactor docstrings in `src/supervision/detection/tools`
* Refine type annotations and docstrings in `transformers.py` to include `TensorLike` protocol and enhance segmentation handling
* Enhance type safety in `transformers.py` by introducing `_is_tensor_like` with `TypeGuard` and refining segmentation result handling
* Refine `CSVSink` type annotations by introducing `WriterProtocol` for improved type safety
* Remove `_is_tensor_like`, `TensorLike` protocol, and `TypeGuard` usage from `transformers.py`, streamline segmentation handling, and fix typos in `CSVSink` and `JSONSink` docstrings
---------
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* refactor docstrings in `scr/supervision/detection`
* Enhance docstrings across multiple modules: clarify attributes/args, improve formatting, and update logic for handling sentinel values in metrics calculation.
* Ensure consistent handling of `class_id` as integer across YOLO and Pascal VOC formats, fix NoneType handling in line zone logic, and add test coverage for multiclass annotator with None `class_id`.
* Enforce `class_id` as integer in YOLO export, update line zone class count docstrings, and add test for non-integer `class_id`.
* Apply suggestions from code review
---------
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* refactor docstrings in draw, classification, and key_points
* Refactor type annotations, logging, and empty output handling across key modules
* Refactor type annotations in `core.py` to include conditional `TYPE_CHECKING` for `torch` imports
* Apply suggestions from code review
---------
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* refactor(tracker): improve typing and docstrings
* refactor(tracker): improve typing for track objects
* refactor(tracker): improve typing in matching and filters
* Apply suggestions from review
* Refactor: enhance type annotations, assertions, and docstrings across `byte_tracker` for clarity and type safety.
* Refactor: replace "Parameters" with "Args" in docstrings for consistency with style guide
---------
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Daniiiil1
jirka
dependabot[bot]
Abhijith Neil Abraham
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Madhav-C
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Omkar Kabde
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