pyproject.toml

[build-system]
requires = ['setuptools >= 61.0.0']
build-backend = 'setuptools.build_meta'

[project]
name = 'fastsurfer'
version = "2.2.0"
description = 'a fast and accurate deep-learning based neuroimaging pipeline'
readme = 'README.md'
license = {file = 'LICENSE'}
requires-python = '>=3.8'
authors = [
    {name = 'Martin Reuter', email = 'martin.reuter@dzne.de'},
    {name = 'Leonie Henschel', email = 'leonie.henschel@dzne.de'},
    {name = 'David Kügler', email = 'david.kuegler@dzne.de'},
]
maintainers = [
    {name = 'Martin Reuter', email = 'martin.reuter@dzne.de'},
    {name = 'Leonie Henschel', email = 'leonie.henschel@dzne.de'},
    {name = 'David Kügler', email = 'david.kuegler@dzne.de'},
]
keywords = [
    'python',
    'Deep learning',
    'Segmentation',
    'Brain segmentation',
    'Brain analysis',
    'volumetry',
]
classifiers = [
    'Operating System :: Microsoft :: Windows',
    'Operating System :: Unix',
    'Operating System :: MacOS',
    'Programming Language :: Python :: 3 :: Only',
    'Programming Language :: Python :: 3.8',
    'Programming Language :: Python :: 3.9',
    'Programming Language :: Python :: 3.10',
    'Programming Language :: Python :: 3.11',
    'Natural Language :: English',
    'License :: OSI Approved :: MIT License',
    'Intended Audience :: Science/Research',
]
dependencies = [
    'h5py>=3.7',
    'lapy>=0.4.1',
    'matplotlib>=3.5.1',
    'nibabel>=3.2.2',
    'numpy>=1.21',
    'pandas>=1.4.3',
    'pytorch>=1.12.0',
    'pyyaml>=6.0',
    'scipy>=1.8.0',
    'yacs>=0.1.8',
    'simpleitk>=2.1.1',
    'scipy>=1.8.0',
    'tensorboard>=2.9.1',
    'torchio>=0.18.83',
    'tqdm>=4.64',
]

[project.urls]
homepage = 'https://fastsurfer.org'
documentation = 'https://fastsurfer.org'
source = 'https://github.com/Deep-MI/FastSurfer'
tracker = 'https://github.com/Deep-MI/FastSurfer/issues'