Open Source Windows Computer Vision Libraries

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

The Integrating Vision Toolkit (IVT) is a powerful and fast C++ computer vision library with an easy-to-use object-oriented architecture. It offers its own multi-platform GUI toolkit. OpenCV is integrated optionally. Website: http://ivt.sourceforge.net

A multi-platform collection of C++ software libraries for Computer Vision and Image Understanding.

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.

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.

A collection of user contributed applications which use the Open Computer Vision Library

Facis is a computer vision project based on OpenCV. It enables face detection and identification.