py-faceblur/pyproject.toml
fiatcode 236e0d2ff2 feat: add YuNet detector option, multi-scale detection, and streamlined CLI
- 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
2026-03-01 01:54:27 +07:00

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TOML

[project]
name = "py-faceblur"
version = "1.0.0"
description = "Interactive CLI for face detection, clustering, and blurring in video"
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"uniface",
"numpy",
"opencv-python",
"scikit-learn>=1.3.0",
"rich",
"questionary",
]
[project.scripts]
pyfaceblur = "faceblur.app:run"
pyfaceblur-legacy = "faceblur.cli:main"
[tool.hatch.build.targets.wheel]
packages = ["src/faceblur"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"