Metadata-Version: 2.1
Name: brambox
Version: 3.0.0
Summary: Basic Requisites for Algorithms on iMages toolBOX
Home-page: https://gitlab.com/eavise/brambox
Author: EAVISE
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy

<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]]()
[![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 statitics and more.
It's 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)


[version-badge]: https://img.shields.io/pypi/v/brambox.svg?label=version
[python-badge]: https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-9cf
[wheel-badge]: https://img.shields.io/pypi/wheel/brambox.svg
[pipeline-badge]: https://gitlab.com/EAVISE/brambox/badges/master/pipeline.svg
[coverage-badge]: https://codecov.io/gl/EAVISE/brambox/branch/master/graph/badge.svg
[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


