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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.

2015-04-24
OpenCV 3.0 rc has been just released, with lots of improvements since 3.0 beta, including multiple bug fixes, better compatibility with OpenCV 2.4, better Android and WinRT support, embedded motion jpeg codec and the emerging acceleration layer OpenCV HAL.
2015-04-24
On May 15th 2015 we have two OpenCV talks in Silicon Valley (Santa Clara Convention Center) at the Embedded Vision Summit: http://www.embedded-vision.com/summit
2015-03-23

Thank you Google for getting OpenCV in GSOC 2015! Also, please check out what our awesome 2014 GSOC students did in this video!

2015-03-06
The Cassandra team is thrilled to announce the release of a new software update for Cassandra 11, a pioneering visual programming tool and development platform for modeling algorithms, typically used in image, signal and video processing.
latest
tutorials

Compatibility

> OpenCV 3.0

Author:

Fedor Morozov

Compatibility

> OpenCV 2.4.4

Author:

Mimmo Cosenza