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Bytedeco makes native libraries available to the Java platform by offering ready-to-use bindings generated with the codeveloped JavaCPP technology. This, we hope, is the missing bridge between Java and C/C++, bringing compute-intensive science, multimedia, computer vision, deep learning, etc to the Java platform.

Core Technologies

  • JavaCPP [API] – A tool that can not only generate JNI code but also build native wrapper library files from an appropriate interface file written entirely in Java. It can also parse automatically C/C++ header files to produce the required Java interface files.

Prebuilt Java Bindings to C/C++ Libraries

These are part of a project that we call the JavaCPP Presets. Many coexist in the same GitHub repository, and all use JavaCPP to wrap predefined C/C++ libraries from open-source land. The bindings expose almost all of the relevant APIs and make them available in a portable and user-friendly fashion to any Java virtual machine (including Android), as if they were like any other normal Java libraries. We have presets for the following C/C++ libraries:

We will add more to this list as they are made, including those from outside the bytedeco/javacpp-presets repository.

Projects Leveraging the Presets Bindings

  • JavaCV [API] – Library based on the JavaCPP Presets that depends on commonly used native libraries in the field of computer vision to facilitate the development of those applications on the Java platform. It provides easy-to-use interfaces to grab frames from cameras and audio/video streams, process them, and record them back on disk or send them over the network.
  • JavaCV Examples – Collection of examples originally written in C++ for the book entitled OpenCV 2 Computer Vision Application Programming Cookbook by Robert Laganière, but ported to JavaCV and written in Scala.
  • ProCamCalib – Sample JavaCV application that can perform geometric and photometric calibration of a set of video projectors and color cameras.
  • ProCamTracker – Another sample JavaCV application that uses the calibration from ProCamCalib to implement a vision method that tracks a textured planar surface and realizes markerless interactive augmented reality with projection mapping.

More Project Information

Please refer to the contribute and download pages for more information about how to help out or obtain this software.

See the developer site on GitHub for more general information about the Bytedeco projects.

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Second release at Bytedeco

July 27, 2014

Today marks the second release at version 0.9 of the software suite at Bytedeco: JavaCPP, JavaCPP Presets, JavaCV, ProCamCalib, and ProCamTracker. Please click on the appropriate link to download and obtain more information about the changes that occurred in your favorite project.

For this release, we have been striving to add a few more C/C++ libraries that are frequently used to the set of modules under the JavaCPP Presets. I am thus happy to announce that the following new libraries are now supported:

Using any of those libraries on the Java platform is now as easy and as efficient as using JavaCV to access the functionality of OpenCV, as it has always been even before the switch to the JavaCPP Presets. For example, in the case of Tesseract, the first example on the APIExample wiki page maps to Java as follows:

import org.bytedeco.javacpp.*;
import static org.bytedeco.javacpp.lept.*;
import static org.bytedeco.javacpp.tesseract.*;

public class TesseractDemo {
    public static void main(String[] args) {
        BytePointer outText;

        TessBaseAPI api = new TessBaseAPI();
        // Initialize tesseract-ocr with English, without specifying tessdata path
        if (api.Init(null, "eng") != 0) {
            System.err.println("Could not initialize tesseract.");
            System.exit(1);
        }

        // Open input image with leptonica library
        PIX image = pixRead("/usr/share/doc/tesseract/phototest.tif");
        api.SetImage(image);
        // Get OCR result
        outText = api.GetUTF8Text();
        System.out.println("OCR output:\n" + outText.getString());

        // Destroy used object and release memory
        api.End();
        outText.deallocate();
        pixDestroy(image);
    }
}

Furthermore, Jarek Sacha has prepared examples for FlyCapture 2 (that now also runs under Linux, in addition to Windows) and flandmark as part of the JavaCV Examples repository:

If you have any questions, problems, or would like to contribute, but are unsure how to proceed, please feel free to share your concerns on the mailing list or via “issues” on GitHub. Enjoy and thank you for your interest!

Email address:
contact at bytedeco.org

Developer site:
https://github.com/bytedeco

Project created in 2014
by Samuel Audet and friends