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%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
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