- Add YuNet face detector as alternative option (built into OpenCV) - Add multi-scale detection (1.0x + 1.5x) to catch faces at different distances - Add NMS to remove duplicate detections from multi-scale - Move frame interval and clustering settings to advanced options - Increase default blur padding from 25% to 40% - Change default frame interval from 30 to 15 - Change default confidence threshold from 0.7 to 0.8 - Add limitations section to README (extreme angles, small faces, motion blur) - Require scikit-learn>=1.3.0 for HDBSCAN support
25 lines
537 B
TOML
25 lines
537 B
TOML
[project]
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name = "py-faceblur"
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version = "1.0.0"
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description = "Interactive CLI for face detection, clustering, and blurring in video"
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"uniface",
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"numpy",
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"opencv-python",
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"scikit-learn>=1.3.0",
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"rich",
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"questionary",
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]
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[project.scripts]
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pyfaceblur = "faceblur.app:run"
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pyfaceblur-legacy = "faceblur.cli:main"
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[tool.hatch.build.targets.wheel]
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packages = ["src/faceblur"]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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