javacv: a Java wrapper for popular computer vision and multimedia libraries

What it solves

Java developers often need to use powerful, industry-standard C/C++ libraries for computer vision and video processing, but accessing these native libraries directly from Java can be complex. JavaCV provides a way to use these high-performance tools within the Java ecosystem, including on Android.

How it works

JavaCV acts as a wrapper for several major libraries, providing utility classes that make their functionality easier to use on the Java platform. It leverages JavaCPP Presets to bridge the gap between Java and native code. It includes built-in support for hardware-accelerated display, parallel execution on multiple cores, and specialized tools for camera calibration and feature detection.

Who it’s for

• Java developers working on computer vision applications.
• Android developers needing video or image processing capabilities.
• Researchers needing to integrate established C++ libraries like OpenCV or FFmpeg into Java-based environments.

Highlights

• Wrappers for major libraries including OpenCV, FFmpeg, Tesseract, and Librealsense.
• Support for multiple platforms including Windows, Linux, macOS, iOS, and Android.
• Includes utility classes for geometric and color calibration of cameras and projectors.
• Provides hardware-accelerated full-screen image display via CanvasFrame and GLCanvasFrame.