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opencv
(open source computer vision)

OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform. Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 9 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.

2016-04-25
Optimized specifically for ARM platform, ACV provides rapid acceleration of OpenCV based products with minimal impacts on existing code base.
2016-03-03
Thank you Google for helping us out for the 6th year in a row! Awesome students will help make OpenCV even awesomer!
2016-01-29
This data-flow based software makes it possible to prototype OpenCV algorithms in an intuitive graphical environment.
2015-12-21
Merry coming XMas & Happy New Year! OpenCV 3.1 has been just released, with lots of new functionality from GSoC 2015 etc., new IPPICV included, HDF5 format support, updated iOS framework.
latest
tutorials

Compatibility

> OpenCV 3.0

Author:

Fedor Morozov

Compatibility

> OpenCV 2.4.4

Author:

Mimmo Cosenza