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 3.4.1
Feb 27, 2018
We are glad to present the first 2018 release of OpenCV, v3.4.1, with further improved DNN module and many other improvements and bug fixes.
OpenCV 3.4
Dec 23, 2017
Right before the Christmas and New Year holidays, we are glad to present the latest and the greatest OpenCV 3.4.
OpenCV 3.3
Aug 3, 2017
OpenCV 3.3 has been released with greatly improved Deep Learning module and lots of optimizations.
Embedded Vision Summit 2017 - Making OpenCV code run fast
Mar 31, 2017
OpenCV team will give a talk at the Embedded Vision Summit 2017: "Making OpenCV code run fast"