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 | – | opencv.org | – | C/C++ |
Often Compared to | Testing | Accessibility | Maintained by | Repository |
---|---|---|---|---|
Keras, Tensorflow | SikuliX | – | Willow Garage | github.com/opencv/opencv |
Pros:
- 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.
Cons:
- 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