thermal-face-alignment/pyproject.toml at main · openscivision/thermal-face-alignment · GitHub

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[build-system]
requires = ["setuptools>=61", "setuptools-scm>=8"]
build-backend = "setuptools.build_meta"

[project]
name = "thermal-face-alignment"
dynamic = ["version"]
description = " implementation and weights for facial landmarks in thermal images trained with the dataset described in 'T-FAKE: Synthesizing Thermal Images for Facial Landmarking'."
readme = "README.md"
authors = [
    { name = "Philipp Flotho", email = "Philipp.Flotho@uni-saarland.de" },
    { name = "Moritz Piening", email = "piening@math.tu-berlin.de"}
]
license = { text = "CC BY-NC-SA 4.0" }
requires-python = ">=3.10,<3.13"

classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Science/Research",
    "License :: Other/Proprietary License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Multimedia :: Video",
    "Topic :: Scientific/Engineering :: Image Processing",
    "Topic :: Scientific/Engineering :: Image Recognition",
]

dependencies = [
    "torch>=2.4.0",
    "torchvision>=0.19.0",
    "timm>=1.0.0",
    "onnxruntime>=1.19.0",
    "gdown>=5.2.0",
    "requests>=2.32.0",
    "tqdm>=4.0.0",
]

[project.optional-dependencies]
tfw = [
    "neurovc[landmark]>=0.1.1",
]
dev = [
    "pytest>=8.0.0",
    "pytest-cov>=5.0.0",
]

[tool.setuptools.packages.find]
where = ["src"]

[tool.setuptools_scm]
version_file = "src/tfan/_version.py"
version_scheme = "no-guess-dev"
local_scheme = "no-local-version"