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(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.

Biicode is a C/C++ dependency manager with a hosting service, much like Maven and Maven Central for Java. Using the new "hooks" feature of biicode 2.0, getting started with OpenCV in C/C++ is very simple.
Kickstarter campaign for a Computer Vision + OpenCV course covering face recognition, automatic license plate recognition, deep learning, and much more!

OpenCV Foundation with support from DARPA and Intel Corporation are launching a community-wide challenge to update and extend the OpenCV library with state-of-art algorithms. An award pool of $50,000 is provided to reward submitters of the best performing algorithms in 11 Computer Vision application areas.


Visual Studio Plugin created by Microsoft Research for visualizing OpenCV images is now available for everybody, thanks to the new Visual Studio Community Edition.



> OpenCV 3.0


Fedor Morozov


> OpenCV 2.4.4


Mimmo Cosenza