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BoofCV is available from its central repository at Github or through periodic releases. Below are links to the latest stable release hosted on SourceForge.

Latest Stable Release:

If you encounter any problems getting BoofCV up and running, please let us know! A bug might have slipped through testing or if the instructions are not clear we would like to know.

Maven Central

The easiest way to use boofcv is to reference its jars on Maven Central. See below for Maven and Gradle code. BoofCV is broken up into many modules. To make it easier to use BoofCV all of its core functionality can be referenced using the 'all' module. Individual modules in "integration" still must be referenced individually.

Artifact List

  • boofcv-core : All the core functionality of BoofCV
  • boofcv-all : All the core and integration packages in BoofCV
  • boofcv-android : Android support
  • boofcv-openkinect : Open Kinect support (The Kinect RGB-D sensor)
  • boofcv-WebcamCapture : Webcam Capture support
  • boofcv-javacv : JavaCV (Reading OpenCV files)
  • boofcv-ffmpeg : javacpp-presets Reading videos
  • boofcv-swing : Visualization using Java Swing
  • boofcv-jcodec : jcodec Pure Java (and buggy) library for reading videos.

Maven

<dependency>
  <groupId>org.boofcv</groupId>
  <artifactId>ARTIFACT NAME</artifactId>
  <version>0.27</version>
</dependency>


Bleeding Edge

The absolutely latest code is available on Github. This code should be considered developmental and may or may not work. Be wary if the link below shows the build is failing, since it's likely to fail for you too!

BoofCV.png

To check it out do the following.

git clone -b SNAPSHOT --recursive https://github.com/lessthanoptimal/BoofCV.git boofcv

You need to do '--recursive' to ensure that you grab the data submodule too. If you forgot to do it you can also invoke the following command.

git submodule update --init --recursive

Then Gradle can be used to build the project as is usual. YouTube Video.

Past Releases

Version Link Description
v0.27 Link Module name changes, new calib target, new distortion
v0.26 Link Critical bug fixes, more examples, improved asymmetric grid
v0.25 Link 360 and fisheye support, Deep Learning, circle asym grid, ... etc
v0.24.1 Link Fixed dependency on a SNAPSHOT
v0.24 Link Replaced Xuggler with JavaCV
v0.23 Link Refactoring of image names