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pyproject.toml
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90 lines (80 loc) · 2.1 KB
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[build-system]
requires = ["poetry-core>=2.0.0"]
build-backend = "poetry.core.masonry.api"
[project]
name = "lightning-action"
version = "1.0.1"
description = "Action segmentation framework built with PyTorch Lightning"
license = "MIT"
readme = "README.md"
requires-python = ">=3.10"
authors = [
{ name = "Matt Whiteway" },
]
keywords = ["machine learning", "deep learning", "action segmentation", "computer vision"]
classifiers = [
"Development Status :: 2 - Pre-Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"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 :: Scientific/Engineering :: Image Processing",
]
dependencies = [
"jaxtyping",
"lightning",
"numpy (>=2.0.0)",
"nvidia-dali-cuda110",
"opencv-python-headless",
"scikit-learn",
"tensorboard",
"torch",
"torchvision",
"transformers",
"typeguard (<3.0.0)",
"pandas",
"pyyaml",
]
[project.urls]
repository = "https://github.com/paninski-lab/lightning-action"
documentation = "https://github.com/paninski-lab/lightning-action"
# project.dependencies are used for metadata when building the project, tool.poetry.dependencies is only used to enrich
# project.dependencies for locking
[tool.poetry.dependencies]
python = ">=3.10,<3.13"
[tool.poetry.scripts]
litaction = "lightning_action.cli.main:main"
[project.optional-dependencies]
dev = [
"autopep8",
"flake8-pyproject",
"isort",
"pytest",
"pytest-html",
"requests",
]
[tool.isort]
line_length = 99
profile = "black"
src_paths = ["lightning_action", "tests"]
[tool.flake8]
max-line-length = 99
extend-ignore = ["E203", "W503", "F722", "W293"]
exclude = [
".git",
"__pycache__",
"build",
"dist",
".venv",
"venv",
"docs/",
"scripts/",
"examples/",
]
[tool.pytest.ini_options]
testpaths = "tests"
generate_report_on_test = "True"
markers = ["multigpu"]