* fix: add validation for RGB/BGR color values in Color class
- Add range validation (0-255) to from_rgb_tuple() and from_bgr_tuple()
- Raise ValueError for invalid color values with descriptive messages
- Add comprehensive tests for both valid and invalid cases
- Update docstrings to document the new validation behavior
* fix(pre_commit): 🎨 auto format pre-commit hooks
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* 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
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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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* migrate YT video file download script to use `yt_dlp`; old script didn't work anymore
* RF-DETR file example works
* ultralytics stream example migrated to new inference
* migrate inference scripts to use RF-DETR-Medium
* RF-DETR naive stream example
* RF-DETR stream example
* updated README.md
* fix(pre_commit): 🎨 auto format pre-commit hooks
* Migrate `time_in_zone` examples to use `jsonargparse` and update `--classes` argument format to accept lists
* Add licensing details for `ultralytics` and `supervision` in `README.md`
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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
* 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
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* 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
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* refactor(time_in_zone): improve CLI argument handling
* Refactor examples with `jsonargparse` for improved CLI, rename `confidence` and `iou` arguments for consistency, and update documentation and requirements.
* fix(pre_commit): 🎨 auto format pre-commit hook
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* Resolve link checker to smoothly work with forked PRs
* Add Snyk quality badge URL to excluded links in lychee config
* Simplify Lychee action configuration by removing redundant `env` key usage
* Update augment_links script to include branch/ref as argument in build workflow
* chore(pre_commit): ⬆ pre_commit autoupdate
updates:
- [github.com/tox-dev/pyproject-fmt: v2.11.1 → v2.12.1](https://github.com/tox-dev/pyproject-fmt/compare/v2.11.1...v2.12.1)
- [github.com/pre-commit/mirrors-mypy: v1.13.0 → v1.19.1](https://github.com/pre-commit/mirrors-mypy/compare/v1.13.0...v1.19.1)
* fix(pre_commit): 🎨 auto format pre-commit hooks
* Convert type annotations across several `supervision/metrics` modules to `numpy.typing` for improved alignment with `numpy` standards.
* Add `# type: ignore[no-untyped-call]` annotations in `mean_average_precision.py` for linting compliance
* Refactor `detection.py` to use `getattr` for `np.trapz` and update dependencies in `.pre-commit-config.yaml` with version constraints
* Update `mean_average_precision.py` to remove redundant type ignore comments and refine `.pre-commit-config.yaml` by adding Python version and removing version constraints for `types-PyYAML` and `types-requests`.
* exclude Snyk badge URL
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* fix(pre_commit): 🎨 auto format pre-commit hooks
* refactor(metrics): enforce strict type safety and resolve mypy errors
- Fix incompatible types for Optional arguments in matching functions.
- Add explicit type annotations for empty lists and returns.
- Ensure numpy scalars are cast to native python floats.
- Extract variables to comply with line length limits (E501).
- Resolve 'Missing type parameters' for generic dicts and lists.
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* 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
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* 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
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* fix(line_zone): index crossing state by (tracker_id, class_id)
* fix(pre_commit): 🎨 auto format pre-commit hooks
* Refactor `test_line_zone_tracker_id_reuse_with_different_classes` to use `pytest.mark.parametrize` for improved readability and test coverage.
* Refactor `pytest.mark.parametrize` arguments in `test_line_counter` for improved readability.
* Refactor `pytest.mark.parametrize` in `test_line_counter` to include `pytest.param` for clearer test case descriptions and improved readability.
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* Refactor metric test files by encapsulating fixtures and improved structure and clarity
* Update `test/metrics/conftest.py` fixture values to refine test case coverage
* add unit tests for precision, recall and f1_score metrics
These 3 metrics had zero test coverage. Created comprehensive tests
covering all main scenarios like perfect matches, partial overlaps,
empty cases, multiple classes and different iou thresholds.
All tests validate results mathematically and cover edge cases.
Tests follow the existing code style and use pytest parametrize
for different averaging methods.
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pre-commit-ci[bot]