summaryrefslogtreecommitdiff
path: root/python-ensemble-boxes.spec
blob: 2f0800e2ff1e419d5086bd9e4b35b2b06ab241a3 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
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
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.9-1
- Package Spec generated