DetectionDataset.from_yolo accepts is_obb=True and stores the four
corners in detections.data["xyxyxyxy"], but DetectionDataset.as_yolo
has no matching option and only reads xyxy/mask. The standard
from_yolo -> split -> as_yolo flow silently writes 5-token
axis-aligned lines, and re-loading the saved file with is_obb=True
crashes the validator because it expects 9 tokens.
Add is_obb to as_yolo, save_yolo_annotations, and
detections_to_yolo_annotations. When True, the four corners from
data["xyxyxyxy"] are serialized via the existing object_to_yolo
polygon path. Masks are ignored, mirroring from_yolo(is_obb=True)
semantics. A missing xyxyxyxy raises ValueError early.
- Add UserWarning in as_yolo when area/approx params passed with is_obb=True (silently ignored)
- Add UserWarning in detections_to_yolo_annotations when mask present + is_obb=True
- Update ValueError message to include expected shape (N, 4, 2) for manual callers
- Add Google-style docstrings to detections_to_yolo_annotations and save_yolo_annotations
- Add test: N>1 OBB detections per image (corner indexing via data-dict slicing)
- Add test: dataset round-trip with background-only (no label file) image
- Add test: as_yolo() without is_obb=True on OBB-loaded dataset emits 5-token lines
- Replace all tempfile.TemporaryDirectory / os.path.join / os.makedirs
with pytest tmp_path and pathlib Path
- Merge 3 load-mask tests into parametrized test_load_yolo_annotations_mask_behaviour
(obb-no-mask, obb-force_masks-ignored, segmentation-produces-mask)
- Merge token-count tests into parametrized test_dataset_as_yolo_obb_output_token_count
(obb-save-nine-tokens, default-save-five-tokens)
- Split corner accuracy into dedicated test_dataset_as_yolo_obb_round_trip_corner_accuracy
- Drop import os and import tempfile
---------
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: claude[bot] <209825114+claude[bot]@users.noreply.github.com>
* fix(dataset): make COCO annotation/image ids chainable across splits (#768)
Exporting train/valid/test splits with DetectionDataset.as_coco
previously restarted image_id and annotation_id at 1 for every split,
producing three JSON files whose ids collided and could not be safely
merged into a single COCO collection.
Adds optional starting_image_id and starting_annotation_id parameters
to save_coco_annotations and DetectionDataset.as_coco (default 1 to
preserve existing behavior) and returns a (next_image_id,
next_annotation_id) tuple so callers can feed the result of one
export straight into the next:
next_image, next_ann = train.as_coco(annotations_path="train.json")
next_image, next_ann = valid.as_coco(
annotations_path="valid.json",
starting_image_id=next_image,
starting_annotation_id=next_ann,
)
test.as_coco(
annotations_path="test.json",
starting_image_id=next_image,
starting_annotation_id=next_ann,
)
The images-only branch of as_coco (annotations_path=None) round-trips
the starting ids unchanged so chaining still works there.
Adds 4 regression tests covering defaults, custom starting ids,
end-to-end three-split chaining with global uniqueness assertions,
and the images-only round-trip.
* docs: address review polish on COCO id-chaining
* fix(dataset): align save_coco_annotations approximation_percentage default to 0.0
* docs(dataset): add one-line summary to save_coco_annotations docstring
* docs: add changelog entry for COCO id chaining (PR #2267)
* docs(dataset): document file_name uniqueness limitation in save_coco_annotations
* feat(dataset): validate starting_image_id and starting_annotation_id >= 1
* docs(dataset): add Example section to save_coco_annotations docstring
* docs(dataset): unpack final as_coco return value in chaining example
* test(dataset): add COCO chaining tests and fix test helper for zero detections
---------
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Claude Code <noreply@anthropic.com>
- Removed `convert_to_ipynb.sh` script and standalone `.py` demo files.
- Added `docs/notebooks/compact-mask-sam3.ipynb` showcasing new features (`sv.CompactMask` and `sv.Detections.from_sam3`) introduced in version `0.28.0`.
* docs: improve SEO and GEO docs publishing
* docs: refine language for model compatibility and package features
* fix: correct spelling "Underestand" → "Understand" in notebook title
* fix: derive JSON-LD SearchAction URL from config.site_url
* lint: reformat notebook JSON (indent 1→4, pretty-format-json)
* docs: refine description for `supervision.assets` video addition
---------
Co-authored-by: Codex <codex@openai.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Claude Code <noreply@anthropic.com>
- Expand llms.txt from 12 to 36+ URLs with FAQ, benchmarking, and API sections
- FAQPage schema: 5 → 12 Q&As in theme/main.html
- TechArticle schema: add dynamic author/date from page meta
- Add authors + date_modified frontmatter to all 8 how-to pages
- Add description meta to 7 reference pages (detection/core, trackers, datasets/core, metrics/mean_average_precision, cookbooks, assets, changelog)
- FAQ sections to all 8 how-to pages (Q&A format for AI citation)
- Author bios at bottom of each how-to page (E-E-A-T signal)
- FAQPage + TechArticle schema for how_to, reference, and cookbook pages in theme/main.html
- llms.txt Key APIs: expand from bare list to descriptive prose paragraphs
- Changelog: add date_modified frontmatter
---------
Co-authored-by: Claude Code <noreply@anthropic.com>
Co-authored-by: OpenAI Codex <codex@openai.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Detections.from_inference works on RLE-encoded masks
* Apply suggestions from code review
* fix: harden RLE handling in from_inference and decoder
* lint: fix cv2.fillPoly color type in polygon_to_mask
* fix: resize RLE mask to image dims when size mismatches
* fix: pass RLE counts directly in coco_annotations_to_masks
* test: document mixed RLE + box-only batch misalignment
* test: add compressed RLE iscrowd case to coco_annotations_to_detections
* fix: cast polygon mask to bool in process_roboflow_result
* fix: log warning when RLE decode fails in process_roboflow_result
* fix: replace assert with ValueError in rle_to_mask
* test: add bytes invalid UTF-8 case to rle_to_mask tests
* docs: note rle_to_mask dtype change from uint8 to bool in changelog
* refactor: tighten rle_to_mask NDArray input type to np.integer[Any]
* refactor: drop mask_to_rle overloads; cast at call site
* docs: clarify COCO column-major RLE order in rle_to_mask/mask_to_rle
* refactor: update @deprecated annotations and docstrings for mask_to_rle/rle_to_mask; add pydeprecate dependency
* refactor: replace mask_to_rle body with `void` function to suppress unused argument warnings
---------
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* VideoInfo.fps returns float instead of int
Truncating the raw CAP_PROP_FPS value with int() causes timing drift for
non-integer frame rates (23.976, 29.97, 59.94). Over a long video this
accumulates into noticeable sync errors — e.g. 23 vs 23.976 drifts ~1s
per minute of footage.
Changes:
- VideoInfo.fps type annotation: int -> float
- from_video_path: int(video.get(CAP_PROP_FPS)) -> float(...)
- ByteTrack.frame_rate type annotation: int -> float (already converts
to int internally via max_time_lost = int(frame_rate / 30.0 * buffer))
- Tests: assert fps is float, add float_fps_video_path fixture at 23.976
* fix: update examples to cast float fps to int where required
* fix: wrap long docstring line in FPSBasedTimer (ruff E501)
* test: remove unused float_fps_video_path fixture
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Add ImageAssets for download
* Update directory for consistency with video assets directory and add soccer image
* Fix unaligned table
* Add support for `ImageAssets` and extend `download_assets` functionality to handle both image and video assets.
* Refactor `Assets` enum initialization and improve `download_assets` logic with enhanced file checks and re-download handling. Add new tests for invalid asset cases and update existing test assertions.
* Simplify `download_assets` type handling and refactor `Assets` enum with additional attributes for filename and md5_hash.
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: jirka <6035284+Borda@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Add custom JavaScript for copying Python REPL code examples without prompts and integrate it into the docs
* Enhance JavaScript copy button functionality to support `.md-code__button` and streamline clipboard handling
* Remove unused `pycon_copy.js` references and streamline JavaScript dependencies in docs and configuration
* Enhance `stripPythonPrompts` to handle triple-quoted strings in REPL code parsing
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Real application underestand visitors with yolo-world
* Improvements in the examples
* Small improvements in typing
* improve path video results
* fix(pre_commit): 🎨 auto format pre-commit hooks
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: jirka <6035284+Borda@users.noreply.github.com>
* Wrap all placeholder paths in quotes across documentation and code examples for consistency
* Update pre-commit config to exclude `docs/deprecated.md` from mdformat check
* add count in zone guide to table of contents
* add count in zone docs
* respond to feedback
* fix(pre_commit): 🎨 auto format pre-commit hooks
* update count in zone example
* Apply suggestions from code review
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Add script to augment relative links in MD files to GitHub blob URLs
* fix(pre_commit): 🎨 auto format pre-commit hooks
* Add type annotations to `augment_links.py` and update config
* Add `lychee-action` for link checking in CI workflows
* Apply suggestions from code review
* links in README.md
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* Chore CI by adding checks for links and references
* Potential fix for code scanning alert no. 6: Workflow does not contain permissions
* Fix markdown image formatting in metrics documentation
* Update all `docs` links to use absolute URLs and fix broken references in documentation and workflows.
* Fix broken `albumentations` links in dataset processing documentation
* lycheeVersion: v0.22.0
* Refactor CI link check workflow to use lychee config file for cleaner argument management
* add TODOs for future file type support
* Fix header formatting for example plots across metric files
---------
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Jirka Borovec
Agis Kounelis
Ritwij Aryan Parmar
tarunbommawar27
Madhav-C
Copilot
Prem
Lee Clement
abritton2002
Nick Herrig
Christoph Deil
M K Subrahmanya
Adonai Vera
James
SkalskiP
Dominik Winecki
pre-commit-ci[bot]