OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it’s free for both academic and commercial use. It has 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 14 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.


Latest news

OpenCV 4.0
Nov 20, 2018
Finally! OpenCV 4.0 has been released
Survey 2018
Nov 14, 2018
We've prepared a small survey to learn more about OpenCV usage. Your voice is appreciated!
OpenCV 4.0 release candidate
Nov 12, 2018
Getting closer: OpenCV 4.0 release candidate is out
New OpenCV 4.0 Beta & OpenVINO™ toolkit
Oct 16, 2018
OpenCV 4.0-beta and OpenVINO toolkit components have been released