JavaCV uses wrappers from the JavaCPP Presets of commonly used libraries by researchers in the field of computer vision (OpenCV, FFmpeg, libdc1394, FlyCapture, Spinnaker, OpenKinect, librealsense, CL PS3 Eye Driver, videoInput, ARToolKitPlus, flandmark, Leptonica, and Tesseract) and provides utility classes to make their functionality easier to use on the Java platform, including Android. JavaCV also comes with hardware accelerated full-screen image display (CanvasFrame and GLCanvasFrame), easy-to-use methods to execute code in parallel on multiple cores (Parallel), user-friendly geometric and color calibration of cameras and projectors (GeometricCalibrator, ProCamGeometricCalibrator, ProCamColorCalibrator), detection and matching of feature points (ObjectFinder), a set of classes that implement direct image alignment of projector-camera systems (mainly GNImageAligner, ProjectiveTransformer, ProjectiveColorTransformer, ProCamTransformer, and ReflectanceInitializer), and more.
Features
- The binary archive contains builds for Android, iOS, Linux, Mac OS X, and Windows
- The class definitions are basically ports to Java of the original header files in C/C++
- Once installed, simply call the usual mvn install command for JavaCPP, its Presets, and JavaCV
- Instead of building the native libraries manually, you can run mvn install for JavaCV only and rely on the snapshot artifacts from the CI builds
- Archives containing JAR files are available as releases
- JavaCV also comes with hardware accelerated full-screen image display
Project Samples
