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| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-airtiler.spec | 87 | ||||
| -rw-r--r-- | sources | 1 |
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@@ -0,0 +1 @@ +/airtiler-2.1.7.tar.gz diff --git a/python-airtiler.spec b/python-airtiler.spec new file mode 100644 index 0000000..5e740c8 --- /dev/null +++ b/python-airtiler.spec @@ -0,0 +1,87 @@ +%global _empty_manifest_terminate_build 0 +Name: python-airtiler +Version: 2.1.7 +Release: 1 +Summary: The airtiler generates training / test data for neural networks by downloading buildings from vector data from OpenStreetMap and the corresponding satellite images from Microsoft Bing Maps. +License: MIT +URL: https://github.com/mnboos/airtiler +Source0: https://mirrors.aliyun.com/pypi/web/packages/c8/2e/d5764065d19b631abeec74dcfe574d22c7f0c5849f459881e96bd1eca599/airtiler-2.1.7.tar.gz +BuildArch: noarch + + +%description +|Build Status| +The airtiler generates training / test data for neural networks by +downloading buildings from vector data from OpenStreetMap and the +corresponding satellite images from Microsoft Bing Maps. +It then generates binary masks from the vector data which can be used +for example for instance segmentation. + +%package -n python3-airtiler +Summary: The airtiler generates training / test data for neural networks by downloading buildings from vector data from OpenStreetMap and the corresponding satellite images from Microsoft Bing Maps. +Provides: python-airtiler +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-airtiler +|Build Status| +The airtiler generates training / test data for neural networks by +downloading buildings from vector data from OpenStreetMap and the +corresponding satellite images from Microsoft Bing Maps. +It then generates binary masks from the vector data which can be used +for example for instance segmentation. + +%package help +Summary: Development documents and examples for airtiler +Provides: python3-airtiler-doc +%description help +|Build Status| +The airtiler generates training / test data for neural networks by +downloading buildings from vector data from OpenStreetMap and the +corresponding satellite images from Microsoft Bing Maps. +It then generates binary masks from the vector data which can be used +for example for instance segmentation. + +%prep +%autosetup -n airtiler-2.1.7 + +%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-airtiler -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 2.1.7-1 +- Package Spec generated @@ -0,0 +1 @@ +8ff4f01ec74d57383203ff67ce3788ef airtiler-2.1.7.tar.gz |