Open CV

Open CV

Computer Vision Library

What is Open CV?.

Open Source Computer Vision Library with C++, Python and Java interfaces 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.

Maintained by License Type Popular Examples Support Updates Developer Skills
Willow Garage ‎BSD C/C++
Often Compared to Testing Accessibility Maintained by Repository
Keras, Tensorflow SikuliX Willow Garage

  • First and foremost, OpenCV is available free of cost.
  • OpenCV library is written in C/C++ it is quite fast.
  • Low RAM usage (approx. 60–70 mb).
  • It is portable as OpenCV can run on any device that can run C.
  • Does not provide the same ease of use when compared to MATLAB.
  • OpenCV has a flann library of its own. This causes conflict issues when you try to use OpenCV library with the PCL library