<commit_before>#### Build status:
stable (production branch): [![Build Status](https://travis-ci.org/cvjena/cn24.svg?branch=stable)](https://travis-ci.org/cvjena/cn24)
master (development branch): [![Build Status](https://travis-ci.org/cvjena/cn24.svg?branch=master)](https://travis-ci.org/cvjena/cn24)

## Welcome to the CN24 GitHub repository!

CN24 is a complete semantic segmentation framework using fully convolutional networks. It supports a wide variety of
platforms (Linux, Mac OS X and Windows) and libraries (OpenCL, Intel MKL, AMD ACML...) while providing dependency-free
reference implementations. The software is developed in the [Computer Vision Group](http://www.inf-cv.uni-jena.de) at the [University of Jena](http://www.uni-jena.de).

## Why should I use CN24?
1. Designed for *pixel-wise labeling and semantic segmentation* (train and test your own networks!)
2. Suited for *various applications* in [driver assistance systems](http://hera.inf-cv.uni-jena.de:6680/pdf/Brust15:CPN.pdf), scene understanding, remote sensing, biomedical image processing and many more
3. *OpenCL support* not only suited for NVIDIA GPUs
4. High-performance implementation with *minimal dependencies* to other libraries

## Getting started
To get started, clone this repository and visit the [wiki](https://github.com/cvjena/cn24/wiki)! Installation is just a two command lines away. For an even faster introduction, check out one of these examples:
<commit_msg>README: Changed branch references for new git flow model<commit_after>#### Build status:
master (production branch): [![Build Status](https://travis-ci.org/cvjena/cn24.svg?branch=master)](https://travis-ci.org/cvjena/cn24)
develop (development branch): [![Build Status](https://travis-ci.org/cvjena/cn24.svg?branch=develop)](https://travis-ci.org/cvjena/cn24)

## Welcome to the CN24 GitHub repository!

CN24 is a complete semantic segmentation framework using fully convolutional networks. It supports a wide variety of
platforms (Linux, Mac OS X and Windows) and libraries (OpenCL, Intel MKL, AMD ACML...) while providing dependency-free
reference implementations. The software is developed in the [Computer Vision Group](http://www.inf-cv.uni-jena.de) at the [University of Jena](http://www.uni-jena.de).

## Why should I use CN24?
1. Designed for *pixel-wise labeling and semantic segmentation* (train and test your own networks!)
2. Suited for *various applications* in [driver assistance systems](http://hera.inf-cv.uni-jena.de:6680/pdf/Brust15:CPN.pdf), scene understanding, remote sensing, biomedical image processing and many more
3. *OpenCL support* not only suited for NVIDIA GPUs
4. High-performance implementation with *minimal dependencies* to other libraries

## Getting started
To get started, clone this repository and visit the [wiki](https://github.com/cvjena/cn24/wiki)! Installation is just a two command lines away. For an even faster introduction, check out one of these examples:

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{'dir': 'git-commits-cleaned', 'id': '2572712', 'n_tokens_mistral': 890, 'n_tokens_neox': 829, 'n_words': 320}