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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 7 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.

2014-08-21
OpenCV 3.0 alpha is released, with refined API, greatly improved performance on CPU, transparent acceleration on GPU and tons of new functionality in the new contrib repository.
2014-08-06
Ceemple, a JIT based C++ technical computing environment, now includes OpenCV, for rapid and easy development of optimized OpenCV C++ applications.
2014-08-05
We are pleased to announce new books about OpenCV that show you how to use the Python bindings to solve actual, real-world problems.
2014-08-04
Cassandra Team is pleased to announce the immediate availability of a new Cassandra software update. This is a maintenance release for the 11 series of Cassandra. Additional the release Version 11.4 offers you a lot of new features.
latest
tutorials

Compatibility

> OpenCV 3.0

Author:

Fedor Morozov

Compatibility

> OpenCV 2.4.4

Author:

Mimmo Cosenza