%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 Logo _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) [![ko-fi](https://www.ko-fi.com/img/githubbutton_sm.svg)](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 Logo _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) [![ko-fi](https://www.ko-fi.com/img/githubbutton_sm.svg)](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 Logo _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) [![ko-fi](https://www.ko-fi.com/img/githubbutton_sm.svg)](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 - 4.3.0-1 - Package Spec generated