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
85
86
87
88
89
90
91
92
93
|
%global _empty_manifest_terminate_build 0
Name: python-image-match
Version: 1.1.2
Release: 1
Summary: image_match is a simple package for finding approximate image matches from a corpus.
License: Apache License 2.0
URL: https://github.com/ascribe/image-match/
Source0: https://mirrors.aliyun.com/pypi/web/packages/da/ed/5d16b10e6f83520205d16b434c844d749a0c4c9df5505b85f76787c887c0/image_match-1.1.2.tar.gz
BuildArch: noarch
%description
image_match is a simple package for finding approximate image matches from a
corpus. It is similar, for instance, to pHash <http://www.phash.org/>, but
includes a database backend that easily scales to billions of images and
supports sustained high rates of image insertion: up to 10,000 images/s on our
cluster!
Based on the paper An image signature for any kind of image, Goldberg et
al <http://www.cs.cmu.edu/~hcwong/Pdfs/icip02.ps>.
%package -n python3-image-match
Summary: image_match is a simple package for finding approximate image matches from a corpus.
Provides: python-image-match
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-image-match
image_match is a simple package for finding approximate image matches from a
corpus. It is similar, for instance, to pHash <http://www.phash.org/>, but
includes a database backend that easily scales to billions of images and
supports sustained high rates of image insertion: up to 10,000 images/s on our
cluster!
Based on the paper An image signature for any kind of image, Goldberg et
al <http://www.cs.cmu.edu/~hcwong/Pdfs/icip02.ps>.
%package help
Summary: Development documents and examples for image-match
Provides: python3-image-match-doc
%description help
image_match is a simple package for finding approximate image matches from a
corpus. It is similar, for instance, to pHash <http://www.phash.org/>, but
includes a database backend that easily scales to billions of images and
supports sustained high rates of image insertion: up to 10,000 images/s on our
cluster!
Based on the paper An image signature for any kind of image, Goldberg et
al <http://www.cs.cmu.edu/~hcwong/Pdfs/icip02.ps>.
%prep
%autosetup -n image_match-1.1.2
%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-image-match -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.2-1
- Package Spec generated
|
