mirror of
https://github.com/Shawn-Shan/fawkes.git
synced 2025-02-24 00:57:06 +05:30
5e9bef774d
Action: I rewrote the setup code to depend on pyenv and poetry allowing us to explicitly require the use of python 3.9.0 rather than having users guess at how best to execute the code. I've used stricter dependency requirements (lots of ~= in pyproject.toml dependencies) as the project is unlikely to be maintained regularly and reviving the code required a lot of dependency incompatibility navigation we should avoid for future users. Result: A new user can build this great research project with ~10 lines! A big win in my opinion. Some relevant pull requests and issues. https://github.com/Shawn-Shan/fawkes/pull/168 https://github.com/Shawn-Shan/fawkes/pull/158 https://github.com/Shawn-Shan/fawkes/issues/186 https://github.com/Shawn-Shan/fawkes/issues/178
48 lines
1.4 KiB
TOML
48 lines
1.4 KiB
TOML
[project]
|
|
name = "fawkes"
|
|
version = "0.1.0"
|
|
description = ""
|
|
authors = [
|
|
{name = "Shawn Shan", email = "shawnshan@cs.uchicago.edu"}
|
|
]
|
|
license = "BSD"
|
|
homepage = "https://github.com/Shawn-Shan/fawkes"
|
|
keywords = ["fawkes", "privacy", "ML"]
|
|
classifiers = [
|
|
"Development Status :: 3 - Alpha",
|
|
"License :: OSI Approved :: MIT License",
|
|
"Operating System :: OS Independent",
|
|
"Programming Language :: Python :: 3",
|
|
"Topic :: System :: Monitoring",
|
|
]
|
|
|
|
readme = "README.md"
|
|
requires-python = "~=3.9"
|
|
dependencies = [
|
|
"numpy (>=1.22,<2.0)",
|
|
"tensorflow-io-gcs-filesystem (>=0.23.1,<0.24.0)",
|
|
"tensorflow (==2.12)",
|
|
"keras (>=2.12.0,<2.13.0)",
|
|
"setuptools (>=75.8.0,<76.0.0)",
|
|
"mtcnn (>=0.1.0,<0.2.0)",
|
|
"pillow (>=11.1.0,<12.0.0)",
|
|
"bleach (>=6.2.0,<7.0.0)",
|
|
"pyqt5 (==5.15.2)",
|
|
# Despite the name amd runs this implementation fine.
|
|
# 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).
|
|
# A script could probably be built that intelligently runs pip install under the hood but this is hard to track for a newbie.
|
|
"tensorflow-intel (==2.12.0)"
|
|
|
|
]
|
|
|
|
|
|
[tool.poetry.dependencies]
|
|
python = "~3.9"
|
|
|
|
[tool.poetry.scripts]
|
|
fawkes = "fawkes:main"
|
|
|
|
|
|
[build-system]
|
|
requires = ["poetry-core>=2.0.0,<3.0.0"]
|
|
build-backend = "poetry.core.masonry.api" |