• [Introduction] (#introduction)
  • [Downloading] (#where-to-download)
  • [Gradle and Maven] (#include-in-gradle-and-maven-projects)
• [Building from Source] (#building-from-source)
• [Running Example Code] (#running-example-code)
• [Dependencies] (#dependencies)
• [Help/Contact] (#contact)

BoofCV is an open source computer vision library written entirely in Java by Peter Abeles. It is released under the Apache License 2.0. Source code, examples, and other utilties are included in this package. This document contains only a brief summary of the directory structure and how to build the source code. For more detailed and update information please visible the web pages below.

• [ Project Webpage ] ( http://boofcv.org )
• [ Message Board ] ( https://groups.google.com/group/boofcv )
• [ Bug Reports ] ( https://github.com/lessthanoptimal/BoofCV/issues )
• [ Repository ] ( https://github.com/lessthanoptimal/BoofCV )

You can download complete jars, use Maven, or checkout from Github. See the website for instructions.

http://boofcv.org/index.php?title=Download:BoofCV

BoofCV is divided up into many modules. The easiest way to include all of them is to make your project dependent on 'main:all'

For Gradle projects:

compile group: 'org.boofcv', name: 'all', version: '0.24.1'

For Maven projects:

<dependency>
  <groupId>org.boofcv</groupId>
  <artifactId>all</artifactId>
  <version>0.24.1</version>
</dependency>

There are also several integration modules which help BoofCV interact with external projects. A list of those is included below:

      Name            |                 Description

--------------------------|--------------------------------------------------------------------- integration:android | Useful functions for working inside of Android devices. integration:applet | Code for using BoofCV inside a Java applet. integration:javacv | JavaCV is a wrapper around OpenCV and FFMPEG for reading video files. integration:jcodec | JCodec is a pure Java video reader/writer. integration:openkinect | Used the Kinect RGB-D sensor with BoofCV. integration:WebcamCapture | A few functions that make WebcamCapture even easier to use.

If you are new to Java, then using BoofCV will be a challenge. With just a little bit of knowledge it is possible to build and run examples using the instructions below. Integrating BoofCV into your own project is another issue. If you don't know what a jar file is or how to import classes, it is highly recommend that you learn the basics first before attempting to use BoofCV.

BoofCV is a java library and can be compiled on any platform with Java installed. Gradle is now the preferred way to build BoofCV. There are still Ant build scripts laying around but those will be removed in the near future and their use is not officially supported any more.

BEFORE trying to compile BoofCV make sure you have the following installed and that the paths are setup correctly:

• [ Java Developers Kit (JDK) version 1.6 or later ] ( http://www.oracle.com/technetwork/java/index.html )
• [ Gradle ] ( http://www.gradle.org/ )

BoofCV is very easy to build on just about any system with Gradle and Java support. Gradle will download all of the dependencies for you. Well that's not totally true, there are a couple of optional packages which require manual downloading since they lack jars on Maven central. More on that later.

NOTE As an alternative to installing Gradle directly there are shell scripts "boofcv/gradlew" and "boofcv/gradlew.bat". They will download gradle and execute the commands the same as invoking "gradle" would.

Below are a few useful custom Gradle scripts that can be invoked:

• oneJarBin : Creates a single jar that contains all of BoofCV main and integration
• createLibraryDirectory : Will gather all the BoofCV jars (main and integration) and jars that BoofCV depends on and place them in the "boofcv/library" directory.
• alljavadoc : Combines JavaDoc from all the sub-projects into one set.

createLibraryDirectory unless all dependencies are meet, not all projects in 'boofcv/integration' will produce jars. See the "Integration Modules" section below for the details.

If you checked out the source code directly from GIT you will need to also checkout the data directory if you want to run most of the examples.

cd boofcv
git submodule init
git submodule update

A stable build should always compile out of the box with no problem. All of the examples should run without any problems, as long as you don't modify anything, even slightly. Before you complain about a problem on a stable build make sure you are absolutely certain that you're doing everything right. If after a few attempts you still can't figure out post a message. Maybe these instructions are lacking in clarity.

If you checked out the code from Github then you don't have a stable build and like to live dangerously. There is a chance the code won't compile or one of the libraries it depends on has changed. If you get a compilation error feel free to post a polite message with a copy of the error asking for someone to fix it.

You will need to import the Gradle project into IntelliJ. Verified to work in IntelliJ IDEA 13 and beyond.

1. File -> Settings -> Plugins
2. Search for Gradle. Install if it isn't already

1. File->Import Project
2. Select boofcv/build.gradle

Eclipse has a Gradle plugin available which allow it to open a Gradle project directly. The following was tested with Kepler.

1. Help -> Eclipse Marketplace
2. Search for "Gradle IDE Pack" and install
3. Restart Eclipse

1. Window -> Preference -> Gradle EnIDE
2. Specify Gradle Home. On my system this is /opt/gradle/gradle-1.12
3. Click OK

1. File -> Import -> SelectGradle
2. Click "Browse" button and browse to boofcv/ directory
3. Click "Build Model" button
4. Click "Select All" to import all sub-projects
5. Click finish

Most of the modules in the integration package should automatically with everything else. Some require you to manually download and place files in certain locations. Until you do so Gradle will ignore those modules. Specific instructions are contained in the readme file in each of the module directories.

The example code can be easily run from your favorite IDE. You might need to change the workspace directory so that it can find the boofcv/data directory.

Examples can also be run using gradle.

• exampleRun : Runs an example from boofcv/examples
  • gradle exampleRun -Pwhich=boofcv.examples.imageprocessing.ExampleBinaryOps
• webcamRun : Run an example from boofcv/integration/WebcamCapture
  • gradle webcamRun -Pwhich=boofcv.examples.ExampleTrackingKlt
• demonstrationRun : Runs a demonstration from boofcv/demonstrations
  • gradle demonstrationRun -Pwhich=boofcv.demonstrations.fiducial.FiducialTrackerApp

The main BoofCV modules depends on the following libraries

• [ EJML ] ( http://code.google.com/p/efficient-java-matrix-library )
• [ GeoRegression ] ( http://georegression.org )
• [ DDogleg ] ( http://ddogleg.org )

The following is required for unit tests

• [ JUnit ] ( http://junit.sourceforge.net/ )

Code from the following libraries has been integrated into BoofCV

• [General Purpose FFT by Takuya Ooura] (http://www.kurims.kyoto-u.ac.jp/~ooura/fft.html)
  • Java port by Piotr Wendykier with modifications by Peter Abeles to recycle memory.

The optional sub-projects in integration also have several dependencies. See those sub-projects for a list of their dependencies.

For questions or comments about BoofCV please use the message board. Only post a bug report after doing some due diligence to make sure it is really a bug and that it has not already been reported.

Message Board

BoofCV 是一个 Java 的全新实时的计算机视觉库，BoofCV 易于使用而且具有非常高的性能。它提供了一系列从低层次的图像处理、小波去噪功能以及更高层次的三维几何视野。使用 BSD 许可证可在商业应用中使用。

这里有篇英文文章用来介绍 BoofCV 的使用。