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authorCoprDistGit <infra@openeuler.org>2023-04-11 11:39:02 +0000
committerCoprDistGit <infra@openeuler.org>2023-04-11 11:39:02 +0000
commit1a4b91b6a4191e900e0bfc42005e8ad1d8244b28 (patch)
treef88ab83b5d39cd5a9f2961b9861532838d1c9574
parent2223a909552987a53d14d04117864040ed8abf57 (diff)
automatic import of python-ensemble-boxes
-rw-r--r--.gitignore1
-rw-r--r--python-ensemble-boxes.spec84
-rw-r--r--sources1
3 files changed, 86 insertions, 0 deletions
diff --git a/.gitignore b/.gitignore
index e69de29..19d4dbb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/ensemble_boxes-1.0.9.tar.gz
diff --git a/python-ensemble-boxes.spec b/python-ensemble-boxes.spec
new file mode 100644
index 0000000..1b379e9
--- /dev/null
+++ b/python-ensemble-boxes.spec
@@ -0,0 +1,84 @@
+%global _empty_manifest_terminate_build 0
+Name: python-ensemble-boxes
+Version: 1.0.9
+Release: 1
+Summary: Python implementation of several methods for ensembling boxes from object detection models: Non-maximum Suppression (NMS), Soft-NMS, Non-maximum weighted (NMW), Weighted boxes fusion (WBF)
+License: MIT License
+URL: https://github.com/ZFTurbo/Weighted-Boxes-Fusion
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/4e/d4/d313c9de69f1d628fe66e73b44c876ce5db250c7ac41fb7c1ed14644198a/ensemble_boxes-1.0.9.tar.gz
+BuildArch: noarch
+
+Requires: python3-numpy
+Requires: python3-pandas
+Requires: python3-numba
+
+%description
+Python implementation of several methods for ensembling boxes from object detection models: Non-maximum Suppression (NMS), Soft-NMS, Non-maximum weighted (NMW), Weighted boxes fusion (WBF)More details: https://github.com/ZFTurbo/Weighted-Boxes-Fusion
+
+
+
+
+%package -n python3-ensemble-boxes
+Summary: Python implementation of several methods for ensembling boxes from object detection models: Non-maximum Suppression (NMS), Soft-NMS, Non-maximum weighted (NMW), Weighted boxes fusion (WBF)
+Provides: python-ensemble-boxes
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-ensemble-boxes
+Python implementation of several methods for ensembling boxes from object detection models: Non-maximum Suppression (NMS), Soft-NMS, Non-maximum weighted (NMW), Weighted boxes fusion (WBF)More details: https://github.com/ZFTurbo/Weighted-Boxes-Fusion
+
+
+
+
+%package help
+Summary: Development documents and examples for ensemble-boxes
+Provides: python3-ensemble-boxes-doc
+%description help
+Python implementation of several methods for ensembling boxes from object detection models: Non-maximum Suppression (NMS), Soft-NMS, Non-maximum weighted (NMW), Weighted boxes fusion (WBF)More details: https://github.com/ZFTurbo/Weighted-Boxes-Fusion
+
+
+
+
+%prep
+%autosetup -n ensemble-boxes-1.0.9
+
+%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-ensemble-boxes -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.9-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..acf823d
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+1da9928b3470c7ea634be0b15133821f ensemble_boxes-1.0.9.tar.gz