diff --git a/sci-libs/torchio/Manifest b/sci-libs/torchio/Manifest new file mode 100644 index 0000000..14bbf75 --- /dev/null +++ b/sci-libs/torchio/Manifest @@ -0,0 +1 @@ +DIST torchio-0.17.42.tar.gz 23194366 SHA256 afc1a26c61cdaabd34bc44992a0afa72c2130a1d8aa509bdbe7326c4e6546caa SHA512 c6a2696a2b76d3699eb47f77ce490f0aff4aea93bf4d6e64a2bf96801d098f9e898a7f6dd657581aadb3f7edb46f40c1676a31c2c6ded14a38f9457536c07d1e WHIRLPOOL 47733cc96b417a0b2c401a6b98600955a8ff003edc42e50cf328151631a74decac3a3a8dfcdc30be3d6a687b9240a5b9fe8d8e18c8f4a1b3c743918d0627f6b7 diff --git a/sci-libs/torchio/metadata.xml b/sci-libs/torchio/metadata.xml new file mode 100644 index 0000000..3c4ca9a --- /dev/null +++ b/sci-libs/torchio/metadata.xml @@ -0,0 +1,20 @@ + + + + + klugh@ethz.ch + Hendrik Klug + + + 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. + + + fepegar/torchio + + diff --git a/sci-libs/torchio/torchio-0.17.42.ebuild b/sci-libs/torchio/torchio-0.17.42.ebuild new file mode 100644 index 0000000..b72e79e --- /dev/null +++ b/sci-libs/torchio/torchio-0.17.42.ebuild @@ -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