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OpenCV (Open Source Computer Vision Library) is a comprehensive open-source library for computer vision, machine learning, and imageprocessing. It enables developers to build real-time vision applications ranging from facial recognition to object tracking. OpenCV supports a wide range of programming languages including C++, Python, and Java, and is optimized for both CPU and GPU operations.
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 imageprocessing algorithms, some classification tools and much more...
OpenCV4NodeJS is a Node.js binding for OpenCV, allowing developers to integrate computer vision capabilities directly into JavaScript applications for imageprocessing, object detection, and facial recognition.
Computer vision and image processing library for Qt.
This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality.
The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images.
Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library,...
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The CVR-Lib (Computer Vision and Robotics Library) is a C++ object oriented library for computer vision. It provides lots of functionality to solve mathematical problems, many imageprocessing and analysis algorithms, classification tools, and much more.