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Open Source Computer Vision or OpenCV is used for image processing. It is a Python package that monitors overall functions focused on instant computer vision. It is an image and video processing library with bindings in C++, C, Python, and Java. OpenCV is used for all sorts of image and video analysis, like facial recognition and detection, license plate reading, photo editing, advanced robotic vision, optical character recognition, and a whole lot more. OpenCV provides several inbuilt functions, with the help of this you can learn Computer Vision. It allows both read and write images at the same time. Objects such as faces, trees, etc., can be diagnosed in any video or image. It is compatible with Windows, OS-X, and other operating systems.
You will need two main libraries, with an optional third: python-OpenCV, Numpy, and Matplotlib. Installation for windows Users:
         pip install numpy
         pip install matplotlib

OpenCV 3 is actually called cv2. The reason for this is that the 2 does not stand for the version number. Instead, it is meant to highlight the difference between the underlying C API (which is denoted by the cv prefix) and the C++ API (which is denoted by the cv2 prefix).

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