Browse free open source Java Computer Vision Libraries and projects below. Use the toggles on the left to filter open source Java Computer Vision Libraries by OS, license, language, programming language, and project status.
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The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript.
Languages: C++, Python, Julia, Javascript
Homepage: https://opencv.org
Q&A forum: https://forum.opencv.org/
Documentation: https://docs.opencv.org
Source code: https://github.com/opencv
Please pay special attention to our tutorials! https://docs.opencv.org/master
Books about the OpenCV are described here: https://opencv.org/books.html
reacTIVision is a computer vision framework for the fast and robust tracking of markers attached on physical objects, and the creation of multi-touch surfaces. It was designed for the rapid development of table-based tangible user interfaces.
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.
Visual Automation IDE — automate anything you see on screen
OculiX is the evolution of SikuliX, actively maintained with the full agreement of its original creator RaiMan.
Automate any desktop application using image recognition (OpenCV) and OCR (Tesseract + PaddleOCR). No access to source code or DOM required — if you can see it, you can automate it.
Key features:
- Guided step-by-step recorder with live code preview
- Image recognition via OpenCV 4.10
- Dual OCR: Tesseract (built-in) + PaddleOCR (neural, high precision)
- Local and remote automation via integrated VNC
- SSH tunnels via embedded JSch
- Cross-platform: Windows, macOS (Apple Silicon M1-M4), Linux
- Scripting: Jython, JRuby, Java, PowerShell, AppleScript
- Java 17 recommended (Java 8+ supported)
- Full CI/CD with automated builds for all platforms
Used worldwide for test automation, RPA, and visual regression testing.
MIT License. Maintained by oculix-org.
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BoofCV is an open source Java library for real-time computer vision.
BoofCV is an open source Java library for real-time computer vision and robotics applications. Written from scratch for ease of use and high performance, it provides both basic and advanced features needed for creating a computer vision system. Functionality include optimized low level image processing routines (e.g. convolution, interpolation, gradient) to high level functionality such as image stabilization. Released under an Apache 2.0 license for both academic and commercial use.
Panzer Combat II is a multi-player voice and webcam enabled computer-assisted distributed miniature wargame of World War II tank combat. Firing is done by placing a webcam behind the aiming unit. Distance to target is computed using computer vision. Action inside the tanks is performed on the computer screen while battlefield strategy is played on the miniature terrain. Both camps can use a different laptop or tablet, the game will interconnect.
You can try it online : http://server.panzercombat.com/PCII_Web/move.htm
Look at battle reports : http://www.flickr.com/photos/panzercombatii
Or watch a demo : http://www.youtube.com/watch?v=WcjfV8Odtss
100% CLEAN : http://games.softpedia.com/progClean/Panzer-Combat-II-Clean-95530.html
The files contained in this distribution implement a computer vision system for the classification and interpretation of flag semaphore signals. Optionally, the message can be used to send and receive TCP/IP packets using the RFC 4824 protocol.
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The Data Fusion Peer is a multitier computer vision internet application. The system provides image processing, motion tracking, and visualization information. Application will convert data into 3-Deminsional and other digital environments.
The present invention is an application for Android platform that recognizes Jakim’s Halal logo and acknowledge users whether certain logo is Jakim’s Halal logo or not using embedded system technology, real-time processing, computer vision, pattern recognition, and machine learning algorithm just by taking the picture of any Halal logo.
JOptical is a free library for generic computer vision applications.
It will include most well known algorithms around this subject and expand on that.
This Java native library wraps OpenCV (Computer Vision Lib.) function cvMatchTemplate and implements methods for utilities result visualization. It allows efficient images template matching using Normalized Cross-Correlation (NCC) and others algorithms.
LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
According to the CBS news report, "if you use a computer more than two hours a day, you could be suffering from Computer Vision Syndrome (CVS)".
The project's main objective is making a software that will help us protect our eyes from CVS.
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1- Vision:
It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. Studies on accesing Leapmotion and Kinect is still under-development. 2- Machine learning: It uses Weka Software tool and some personel coded ML algorithms 3- CMatrix: Special matrix library called as CMatrix meaning Cezeri Maztrix Class. Actually it is regarded as the core of the OCL. CMatrix supports fluent interface and method chaining.
Proposed is an algorithm
that uses computer vision, combined with a modified Rubine classifier, to allow
arbitrary N-sided polygons as accepted sketches in real-time.
RoboRealm Extensions are plugins to the RoboRealm application that allow you to extend RoboRealm in whatever way you need. RoboRealm is a powerful computer vision based application for use in machine vision, image analysis, and image processing systems.
Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. The framework was mainly designed as a toolkit for the rapid development of interactive art projects that explore dynamics of complex environments. The Scene GUI runs and compiles under Windows, Linux, and MacOS X, and is available in both 32 bit and 64 bit versions.
The Video Processing Evaluation Resource: A toolkit for evaluating computer vision algorithms on video, and a corresponding tool for annotating video streams with spatial metadata.
The free-vision project aims at creating a library for computer vision related functions, including camera capture interface, stereo, image processing, camera calibration and so on.
The IJBlob library indentifying connected components in binary images. The algorithm used for connected component labeling is:
Chang, F. (2004). A linear-time component-labeling algorithm using contour tracing technique. Computer Vision and Image Understanding, 93(2), 206–220. doi:10.1016/j.cviu.2003.09.002
The ImageJ *Shape Filter Plugin* (see downloads) uses this library for flitering the blobs by its shape.
If you are using IJBlob in a scientific publication, please cite:
Wagner, T and Lipinski, H 2013. IJBlob: An ImageJ Library for Connected Component Analysis and Shape Analysis. Journal of Open Research Software 1(1):e6, DOI: http://dx.doi.org/10.5334/jors.ae
proGPUKLT is a library for the Processing programming language and environment that wraps a GPU-implementation of the Kanade-Lucas-Tomasi feature tracker used for computer vision applications.
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