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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.

2016-05-27
On May 25, Intel signed a definitive agreement to acquire Itseez, Inc., an expert in Computer Vision (CV) algorithms and implementations for embedded and specialized hardware. Itseez contributes software tuning and integration in many market-leading products shipping today from cars to security systems and more. This acquisition furthers Intel’s efforts to win in IoT market segments like automotive and video, where the ability to electronically perceive and understand images paves the way for innovation and opportunity.
2016-05-11
http://answers.opencv.org and http://code.opencv.org are down due to hardware failure. We will restore these services by the end of the week.
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!
latest
tutorials

Compatibility

> OpenCV 3.0

Author:

Fedor Morozov

Compatibility

> OpenCV 2.4.4

Author:

Mimmo Cosenza