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dev-python/nnunet-customized - 1.2 (pypi)

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Package Information

Description:
nnU-Net. Framework for out-of-the box biomedical image segmentation.
Homepage:
https://github.com/wasserth/nnUNet_cust
License:
Apache License Version 2.0, January 2004

Ebuild Details

Version EAPI Keywords Slot
1.2 8 ~amd64 ~x86 0
View Raw Ebuild 
# automatically generated by g-sorcery
# please do not edit this file

EAPI=8

REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="nnU-Net. Framework for out-of-the box biomedical image segmentation."

HOMEPAGE="https://github.com/wasserth/nnUNet_cust"
LICENSE="Apache License Version 2.0, January 2004"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME//-/_}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME//-/_}-${REALVERSION}.tar.gz"
RESTRICT="test"

SLOT="0"
KEYWORDS="~amd64 ~x86"

IUSE=""
DEPENDENCIES="dev-python/torch[${PYTHON_USEDEP}]
	dev-python/tqdm[${PYTHON_USEDEP}]
	dev-python/dicom2nifti[${PYTHON_USEDEP}]
	>=dev-python/scikit-image-0.14[${PYTHON_USEDEP}]
	dev-python/MedPy[${PYTHON_USEDEP}]
	dev-python/scipy[${PYTHON_USEDEP}]
	dev-python/batchgenerators[${PYTHON_USEDEP}]
	dev-python/scikit-learn[${PYTHON_USEDEP}]
	dev-python/SimpleITK[${PYTHON_USEDEP}]
	dev-python/pandas[${PYTHON_USEDEP}]
	dev-python/requests[${PYTHON_USEDEP}]
	dev-python/nibabel[${PYTHON_USEDEP}]
	dev-python/tifffile[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

Dependencies

RDEPEND

dev-python/torch[${PYTHON_USEDEP}]
	dev-python/tqdm[${PYTHON_USEDEP}]
	dev-python/dicom2nifti[${PYTHON_USEDEP}]
	>=dev-python/scikit-image-0.14[${PYTHON_USEDEP}]
	dev-python/MedPy[${PYTHON_USEDEP}]
	dev-python/scipy[${PYTHON_USEDEP}]
	dev-python/batchgenerators[${PYTHON_USEDEP}]
	dev-python/scikit-learn[${PYTHON_USEDEP}]
	dev-python/SimpleITK[${PYTHON_USEDEP}]
	dev-python/pandas[${PYTHON_USEDEP}]
	dev-python/requests[${PYTHON_USEDEP}]
	dev-python/nibabel[${PYTHON_USEDEP}]
	dev-python/tifffile[${PYTHON_USEDEP}]

BDEPEND

dev-python/torch[${PYTHON_USEDEP}]
	dev-python/tqdm[${PYTHON_USEDEP}]
	dev-python/dicom2nifti[${PYTHON_USEDEP}]
	>=dev-python/scikit-image-0.14[${PYTHON_USEDEP}]
	dev-python/MedPy[${PYTHON_USEDEP}]
	dev-python/scipy[${PYTHON_USEDEP}]
	dev-python/batchgenerators[${PYTHON_USEDEP}]
	dev-python/scikit-learn[${PYTHON_USEDEP}]
	dev-python/SimpleITK[${PYTHON_USEDEP}]
	dev-python/pandas[${PYTHON_USEDEP}]
	dev-python/requests[${PYTHON_USEDEP}]
	dev-python/nibabel[${PYTHON_USEDEP}]
	dev-python/tifffile[${PYTHON_USEDEP}]