automatic import of python-unetopeneuler20.03

3 files changed, 93 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..65ae1b6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/unet-0.7.7.tar.gz
diff --git a/python-unet.spec b/python-unet.spec
new file mode 100644
index 0000000..b6d1ce1
--- /dev/null
+++ b/python-unet.spec
@@ -0,0 +1,91 @@
+%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
diff --git a/sources b/sources
new file mode 100644
index 0000000..7cfbad6
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+2385c742657e3294d26223b8b75d70bd  unet-0.7.7.tar.gz