added torchio ebuild
This commit is contained in:
parent
6045f9490d
commit
9012867b6c
|
@ -0,0 +1 @@
|
||||||
|
DIST torchio-0.17.42.tar.gz 23194366 SHA256 afc1a26c61cdaabd34bc44992a0afa72c2130a1d8aa509bdbe7326c4e6546caa SHA512 c6a2696a2b76d3699eb47f77ce490f0aff4aea93bf4d6e64a2bf96801d098f9e898a7f6dd657581aadb3f7edb46f40c1676a31c2c6ded14a38f9457536c07d1e WHIRLPOOL 47733cc96b417a0b2c401a6b98600955a8ff003edc42e50cf328151631a74decac3a3a8dfcdc30be3d6a687b9240a5b9fe8d8e18c8f4a1b3c743918d0627f6b7
|
|
@ -0,0 +1,20 @@
|
||||||
|
<?xml version="1.0" encoding="UTF-8"?>
|
||||||
|
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
|
||||||
|
<pkgmetadata>
|
||||||
|
<maintainer type="person">
|
||||||
|
<email>klugh@ethz.ch</email>
|
||||||
|
<name>Hendrik Klug</name>
|
||||||
|
</maintainer>
|
||||||
|
<longdescription>
|
||||||
|
TorchIO is a Python package containing a set of tools to efficiently read,
|
||||||
|
preprocess, sample, augment, and write 3D medical images in deep learning
|
||||||
|
applications written in PyTorch, including intensity and spatial transforms
|
||||||
|
for data augmentation and preprocessing. Transforms include typical computer
|
||||||
|
vision operations such as random affine transformations and also
|
||||||
|
domain-specific ones such as simulation of intensity artifacts due to MRI
|
||||||
|
magnetic field inhomogeneity or k-space motion artifacts.
|
||||||
|
</longdescription>
|
||||||
|
<upstream>
|
||||||
|
<remote-id type="github">fepegar/torchio</remote-id>
|
||||||
|
</upstream>
|
||||||
|
</pkgmetadata>
|
|
@ -0,0 +1,36 @@
|
||||||
|
# Copyright 1999-2020 Gentoo Authors
|
||||||
|
# Distributed under the terms of the GNU General Public License v2
|
||||||
|
|
||||||
|
EAPI=7
|
||||||
|
|
||||||
|
PYTHON_COMPAT=( python3_{6,7,8} )
|
||||||
|
DISTUTILS_SINGLE_IMPL=1
|
||||||
|
DISTUTILS_USE_SETUPTOOLS=rdepend
|
||||||
|
|
||||||
|
inherit distutils-r1
|
||||||
|
|
||||||
|
DESCRIPTION="A set of tools to efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications."
|
||||||
|
HOMEPAGE="https://torchio.readthedocs.io/"
|
||||||
|
SRC_URI="https://github.com/fepegar/torchio/archive/v${PV}.tar.gz -> ${P}.tar.gz"
|
||||||
|
KEYWORDS="~amd64 ~x86"
|
||||||
|
LICENSE="MIT license"
|
||||||
|
SLOT="0"
|
||||||
|
IUSE=""
|
||||||
|
REQUIRED_USE="${PYTHON_REQUIRED_USE}"
|
||||||
|
DEPEND="
|
||||||
|
$(python_gen_cond_dep '
|
||||||
|
dev-python/click[${PYTHON_USEDEP}]
|
||||||
|
dev-python/humanize[${PYTHON_USEDEP}]
|
||||||
|
sci-libs/nibabel[${PYTHON_USEDEP}]
|
||||||
|
dev-python/numpy[${PYTHON_USEDEP}]
|
||||||
|
dev-python/deprecation[${PYTHON_USEDEP}]
|
||||||
|
dev-python/scipy[${PYTHON_USEDEP}]
|
||||||
|
>=sci-libs/pytorch-1.1[${PYTHON_USEDEP}]
|
||||||
|
dev-python/tqdm[${PYTHON_USEDEP}]
|
||||||
|
')
|
||||||
|
sci-libs/simpleitk[${PYTHON_SINGLE_USEDEP}]
|
||||||
|
"
|
||||||
|
|
||||||
|
RDEPEND="${DEPEND}"
|
||||||
|
|
||||||
|
distutils_enable_tests pytest
|
Loading…
Reference in New Issue