mirror of
https://github.com/Shawn-Shan/fawkes.git
synced 2025-02-24 00:57:06 +05:30
48 lines
1.4 KiB
TOML
48 lines
1.4 KiB
TOML
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[project]
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name = "fawkes"
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version = "0.1.0"
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description = ""
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authors = [
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{name = "Shawn Shan", email = "shawnshan@cs.uchicago.edu"}
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]
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license = "BSD"
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homepage = "https://github.com/Shawn-Shan/fawkes"
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keywords = ["fawkes", "privacy", "ML"]
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classifiers = [
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"Development Status :: 3 - Alpha",
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"License :: OSI Approved :: MIT License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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"Topic :: System :: Monitoring",
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]
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readme = "README.md"
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requires-python = "~=3.9"
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dependencies = [
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"numpy (>=1.22,<2.0)",
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"tensorflow-io-gcs-filesystem (>=0.23.1,<0.24.0)",
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"tensorflow (==2.12)",
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"keras (>=2.12.0,<2.13.0)",
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"setuptools (>=75.8.0,<76.0.0)",
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"mtcnn (>=0.1.0,<0.2.0)",
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"pillow (>=11.1.0,<12.0.0)",
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"bleach (>=6.2.0,<7.0.0)",
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"pyqt5 (==5.15.2)",
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# Despite the name amd runs this implementation fine.
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# There's no built in poetry env variable that'll tell us if an AMD GPU is present (which would imply tensorflow-rocm could be a more efficient implementation).
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# A script could probably be built that intelligently runs pip install under the hood but this is hard to track for a newbie.
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"tensorflow-intel (==2.12.0)"
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]
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[tool.poetry.dependencies]
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python = "~3.9"
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[tool.poetry.scripts]
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fawkes = "fawkes:main"
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[build-system]
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requires = ["poetry-core>=2.0.0,<3.0.0"]
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build-backend = "poetry.core.masonry.api"
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