pyproject.toml

[project]
name = "batchgeneratorsv2"
version = "0.2.1"
requires-python = ">=3.9"
description = "Batchgenerators but better"
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 :: 1 - Planning",
    "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 = [
    "torch>=2.0.0",
    "numpy",
    "fft-conv-pytorch",
    "batchgenerators>=0.25"
]

#[project.urls]
#homepage = ""
#repository = ""


#[project.optional-dependencies]
#dev = [
#
#]

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

[tool.setuptools.packages.find]
where = [""]
include = ["batchgeneratorsv2.*"]