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|
%global _empty_manifest_terminate_build 0
Name: python-brambox
Version: 4.3.0
Release: 1
Summary: Basic Requisites for Algorithms on iMages toolBOX
License: MIT
URL: https://gitlab.com/eavise/brambox
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/16/b7/2e9ea4df97a922b052eb6b1fe3b81be9e8fff2b09e59589b11c64621f48c/brambox-4.3.0.tar.gz
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-scipy
Requires: python3-tqdm
Requires: python3-pgpd
%description
<img src="https://gitlab.com/EAVISE/brambox/raw/master/docs/.static/logo-wide.png" alt="Logo" width="1000" />
_Basic Requisites for Algorithms on iMages toolBOX_
[![Version][version-badge]][release-url]
[![Python][python-badge]]()
[![Pandas][pandas-badge]]()
[![Wheel][wheel-badge]][wheel-url]
[![Pipeline][pipeline-badge]][pipeline-badge]
[![Coverage][coverage-badge]][coverage-url]
Brambox is a python toolbox that provides the necessary tools to convert image annotations, compute statistics and more.
Its main use is for object detection algorithms and datasets.
## Installing
```bash
# From wheel
pip install brambox
# From source
pip install git+https://gitlab.com/eavise/brambox
```
> This project is python 3.6 and higher so on some systems you might want to use 'pip3.6' instead of 'pip'
## Using
Once you installed brambox, you can import it in your own python program with:
```python
import brambox as bb
```
For tutorials and the API documentation [click here][doc-url].
## Contributing
See [the contribution guidelines](CONTRIBUTING.md)
## Main Contributors
Here is a list of people that made noteworthy contributions and helped to get this project where it stands today!
- [Tanguy Ophoff](https://gitlab.com/0phoff) [](https://ko-fi.com/D1D31LPHE)
- [Maarten Vandersteegen](https://gitlab.com/maartenvds)
[version-badge]: https://img.shields.io/pypi/v/brambox.svg?label=version
[python-badge]: https://img.shields.io/badge/python-3.6%20%7C%203.10-9cf
[pandas-badge]: https://img.shields.io/badge/pandas-1.1%2B-e70488
[wheel-badge]: https://img.shields.io/pypi/wheel/brambox.svg
[pipeline-badge]: https://gitlab.com/EAVISE/brambox/badges/master/pipeline.svg
[coverage-badge]: https://img.shields.io/codecov/c/gitlab/eavise/brambox?token=EG18cFdzfX
[release-url]: https://gitlab.com/EAVISE/brambox/tags
[wheel-url]: https://pypi.org/project/brambox
[coverage-url]: https://codecov.io/gl/EAVISE/brambox
[doc-url]: https://eavise.gitlab.io/brambox
%package -n python3-brambox
Summary: Basic Requisites for Algorithms on iMages toolBOX
Provides: python-brambox
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-brambox
<img src="https://gitlab.com/EAVISE/brambox/raw/master/docs/.static/logo-wide.png" alt="Logo" width="1000" />
_Basic Requisites for Algorithms on iMages toolBOX_
[![Version][version-badge]][release-url]
[![Python][python-badge]]()
[![Pandas][pandas-badge]]()
[![Wheel][wheel-badge]][wheel-url]
[![Pipeline][pipeline-badge]][pipeline-badge]
[![Coverage][coverage-badge]][coverage-url]
Brambox is a python toolbox that provides the necessary tools to convert image annotations, compute statistics and more.
Its main use is for object detection algorithms and datasets.
## Installing
```bash
# From wheel
pip install brambox
# From source
pip install git+https://gitlab.com/eavise/brambox
```
> This project is python 3.6 and higher so on some systems you might want to use 'pip3.6' instead of 'pip'
## Using
Once you installed brambox, you can import it in your own python program with:
```python
import brambox as bb
```
For tutorials and the API documentation [click here][doc-url].
## Contributing
See [the contribution guidelines](CONTRIBUTING.md)
## Main Contributors
Here is a list of people that made noteworthy contributions and helped to get this project where it stands today!
- [Tanguy Ophoff](https://gitlab.com/0phoff) [](https://ko-fi.com/D1D31LPHE)
- [Maarten Vandersteegen](https://gitlab.com/maartenvds)
[version-badge]: https://img.shields.io/pypi/v/brambox.svg?label=version
[python-badge]: https://img.shields.io/badge/python-3.6%20%7C%203.10-9cf
[pandas-badge]: https://img.shields.io/badge/pandas-1.1%2B-e70488
[wheel-badge]: https://img.shields.io/pypi/wheel/brambox.svg
[pipeline-badge]: https://gitlab.com/EAVISE/brambox/badges/master/pipeline.svg
[coverage-badge]: https://img.shields.io/codecov/c/gitlab/eavise/brambox?token=EG18cFdzfX
[release-url]: https://gitlab.com/EAVISE/brambox/tags
[wheel-url]: https://pypi.org/project/brambox
[coverage-url]: https://codecov.io/gl/EAVISE/brambox
[doc-url]: https://eavise.gitlab.io/brambox
%package help
Summary: Development documents and examples for brambox
Provides: python3-brambox-doc
%description help
<img src="https://gitlab.com/EAVISE/brambox/raw/master/docs/.static/logo-wide.png" alt="Logo" width="1000" />
_Basic Requisites for Algorithms on iMages toolBOX_
[![Version][version-badge]][release-url]
[![Python][python-badge]]()
[![Pandas][pandas-badge]]()
[![Wheel][wheel-badge]][wheel-url]
[![Pipeline][pipeline-badge]][pipeline-badge]
[![Coverage][coverage-badge]][coverage-url]
Brambox is a python toolbox that provides the necessary tools to convert image annotations, compute statistics and more.
Its main use is for object detection algorithms and datasets.
## Installing
```bash
# From wheel
pip install brambox
# From source
pip install git+https://gitlab.com/eavise/brambox
```
> This project is python 3.6 and higher so on some systems you might want to use 'pip3.6' instead of 'pip'
## Using
Once you installed brambox, you can import it in your own python program with:
```python
import brambox as bb
```
For tutorials and the API documentation [click here][doc-url].
## Contributing
See [the contribution guidelines](CONTRIBUTING.md)
## Main Contributors
Here is a list of people that made noteworthy contributions and helped to get this project where it stands today!
- [Tanguy Ophoff](https://gitlab.com/0phoff) [](https://ko-fi.com/D1D31LPHE)
- [Maarten Vandersteegen](https://gitlab.com/maartenvds)
[version-badge]: https://img.shields.io/pypi/v/brambox.svg?label=version
[python-badge]: https://img.shields.io/badge/python-3.6%20%7C%203.10-9cf
[pandas-badge]: https://img.shields.io/badge/pandas-1.1%2B-e70488
[wheel-badge]: https://img.shields.io/pypi/wheel/brambox.svg
[pipeline-badge]: https://gitlab.com/EAVISE/brambox/badges/master/pipeline.svg
[coverage-badge]: https://img.shields.io/codecov/c/gitlab/eavise/brambox?token=EG18cFdzfX
[release-url]: https://gitlab.com/EAVISE/brambox/tags
[wheel-url]: https://pypi.org/project/brambox
[coverage-url]: https://codecov.io/gl/EAVISE/brambox
[doc-url]: https://eavise.gitlab.io/brambox
%prep
%autosetup -n brambox-4.3.0
%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-brambox -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 4.3.0-1
- Package Spec generated
|
