%global _empty_manifest_terminate_build 0
Name:		python-unet
Version:	0.7.7
Release:	1
Summary:	PyTorch implementation of 2D and 3D U-Net
License:	MIT license
URL:		https://github.com/fepegar/unet
Source0:	https://mirrors.aliyun.com/pypi/web/packages/70/ba/08283475e35353237ea4b19159e3917dcc6fb8497482adb9ef5798bbdbf2/unet-0.7.7.tar.gz
BuildArch:	noarch

Requires:	python3-torch

%description
PyTorch implementation of 2D and 3D U-Net.
The U-Net architecture was first described in
`Ronneberger et al. 2015, U-Net: Convolutional Networks for Biomedical Image
Segmentation <https://arxiv.org/abs/1505.04597>`_.
The 3D version was described in
`Çiçek et al. 2016, 3D U-Net: Learning Dense Volumetric Segmentation from
Sparse Annotation <https://arxiv.org/abs/1606.06650>`_.

%package -n python3-unet
Summary:	PyTorch implementation of 2D and 3D U-Net
Provides:	python-unet
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-unet
PyTorch implementation of 2D and 3D U-Net.
The U-Net architecture was first described in
`Ronneberger et al. 2015, U-Net: Convolutional Networks for Biomedical Image
Segmentation <https://arxiv.org/abs/1505.04597>`_.
The 3D version was described in
`Çiçek et al. 2016, 3D U-Net: Learning Dense Volumetric Segmentation from
Sparse Annotation <https://arxiv.org/abs/1606.06650>`_.

%package help
Summary:	Development documents and examples for unet
Provides:	python3-unet-doc
%description help
PyTorch implementation of 2D and 3D U-Net.
The U-Net architecture was first described in
`Ronneberger et al. 2015, U-Net: Convolutional Networks for Biomedical Image
Segmentation <https://arxiv.org/abs/1505.04597>`_.
The 3D version was described in
`Çiçek et al. 2016, 3D U-Net: Learning Dense Volumetric Segmentation from
Sparse Annotation <https://arxiv.org/abs/1606.06650>`_.

%prep
%autosetup -n unet-0.7.7

%build
%py3_build

%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
	find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
	find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
	find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
	find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
	find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .

%files -n python3-unet -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.7-1
- Package Spec generated