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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 7 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.

2014-04-25
OpenCV Development Team congratulates CV community with the long-awaited Spring coming and presents the next 2.4 series release for you! Welcome to enjoy OpenCV 2.4.9 and thanks a lot to all who participated.
2014-02-25
Thank you Google for helping us out for the 4th year in a row! Awesome students will help make OpenCV even awesomer!
2014-02-05
Full source-code for the book "OpenCV for iOS" became available.
2014-01-17
At this year's ICCV conference, the OpenCV team received the Mark Everingham Prize.
latest
tutorials

Compatibility

> OpenCV 3.0

Author:

Fedor Morozov

Compatibility

> OpenCV 2.4.4

Author:

Mimmo Cosenza