Manual

Development with BoofCV

The following manual provides an introduction to development with BoofCV. It is assumed that the reader is familiar with development in the Java programming language and the basics of computer vision. This manual primarily takes the form of tutorials. However, before going through the tutorials one should be familiar with coding standards use in BoofCV. Once these are understood one will be able to efficiently search the library or even guess the names of classes which are needed.

Click here for Coding Standards.

List of Tutorial

A few simple tutorials are provided to provide the basic concepts of development with BoofCV. For more advanced usage example fully functional demos and applets are provided.

• Abstracted interface versus algorithm.
• Gaussian blur and other convolutions.
• Detecting image features.
• Binary images.

Other resources:

• List of Applets
• List of Application Demos

Building BoofCV

The easiest way to build the library from source is using the provided ant scripts.

1. Download source code. See the Main Page for where to download it from.
2. Run the ant script inside the boofcv/main directory.
3. Copy the BoofCV.jar from boofcv/lib.

In Linux this looks something like this:

$ cd boofcv/main/
$ ant
---- lots of text -----
    [javac] Note: Some input files use unchecked or unsafe operations.
    [javac] Note: Recompile with -Xlint:unchecked for details.
    [javac] 15 warnings

jar:
      [jar] Building jar: /home/pja/projects/boofcv/main/jar/BoofCV_IO.jar

main:
      [jar] Building jar: /home/pja/projects/boofcv/lib/BoofCV.jar

main:

BUILD SUCCESSFUL
Total time: 7 seconds