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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

...Control over both CLI and a TCP connections. Video input and outputs can be done through GStreamer pipelines or the GStreamer shmsrc/shmsink API. Supported for Ubuntu, Mint, Debian, Alma, CentOS, Fedora, Rocky, Mageia, Manjaro, MX Linux, OpenSUSE, EndeavourOS and macOS/OS X. Free support in the discussion forum. See Snowmix in action on Youtube http://www.youtube.com/user/Snowmix4video

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

An OS/hardware vendor independent GPU accelerated image and video processing library written in C. Interface allows easy combination and manipulation of customizable filters. Works with an active OpenGL context.