/jaer

Java tools for Address-Event Representation (AER) neuromorphic vision and audio sensor processing

Primary LanguageJavaGNU Lesser General Public License v2.1LGPL-2.1

jAER

Java tools for Address-Event Representation (AER) neuromorphic processing.

Permanent link: http://jaerproject.org

Build Status

Welcome to the jAER Open Source Project Real time sensory-motor processing for event-based sensors and systems

Founded in 2007 to support event sensors and robot demonstrators developed by the Sensors Group, Inst. of Neuroinformatics, UZH-ETH Zurich.

What jAER feels like to use

jAER demo

Download

You can find the latest releases at https://github.com/SensorsINI/jaer/releases.

Releases do NOT include git information, but using the new self-update feature introduced in jAER-1.8.1, you can initialize the release to a git working copy and pull+build within jAER.

You will get the best experience running from lastest bug fixes.

Building yourself

To build yourself, see the user guide for IDE setup. Or you can use ant. Install JDK 1.8, clone the jAER repo with git and compile jAER using ant from command line as below, from root of jAER. The default target of build.xml for ant is to build the jaer.jar archive of comppiled classes:

ant

On Linux, installing ant should be very easy. On Windows it is still a pain since you will need to download zip, extract it, put it somewhere, and then set some enviroment variables. But once set up, updating can be done from the Help/Update jAER... menu.

NOTE: jAER is not working with java > 1.8 now. Do not bother with java 9,10,11, etc. yet. You need Oracle JDK1.8. See User Guide for more information.

Converting release into working git folder: Once you convert your release, you can use IDE or ant to rebuild jAER.

cd jaer-dist
git init
git remote add origin https://github.com/SensorsINI/jaer.git
git fetch --depth=1
git checkout -t origin/master -f

Support

Please use our GitHub bug tracker to report issues and bugs, or our Google Groups mailing list forum to ask questions.

See also

DVS128 cameras

Hotel bar scene with DAVIS140C