nnInteractive/pyproject.toml at master · MIC-DKFZ/nnInteractive · GitHub

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[project]
name = "nnInteractive"
version = "1.1.4"
requires-python = ">=3.10"
description = "Inference code for nnInteractive"
readme = "readme.md"
license = { file = "LICENSE" }
authors = [
    { name = "Fabian Isensee", email = "f.isensee@dkfz-heidelberg.de"},
    { name = "Helmholtz Imaging Applied Computer Vision Lab" }
]
classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Intended Audience :: Healthcare Industry",
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: Apache Software License",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Image Recognition",
    "Topic :: Scientific/Engineering :: Medical Science Apps.",
]
keywords = [
    'deep learning',
    'image segmentation',
    'semantic segmentation',
    'medical image analysis',
    'medical image segmentation',
    'nnU-Net',
    'nnunet'
]
dependencies = [
    "nnunetv2>=2.6",
    "torch>=2.6,<2.9.0",
    "acvl-utils>=0.2.3,<0.3",  # 0.3 may bring breaking changes. Careful!
    "batchgenerators>=0.25.1",
]

[project.urls]
homepage = "https://github.com/MIC-DKFZ/nnInteractive"

[project.optional-dependencies]
dev = [
    "black",
    "ruff",
    "pre-commit"
]

[build-system]
requires = ["setuptools>=67.8.0"]
build-backend = "setuptools.build_meta"

[tool.codespell]
skip = '.git,*.pdf,*.svg'
#
# ignore-words-list = ''

[tool.setuptools.packages.find]
where = ["."]
include = ["nnInteractive*"]