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OpenCVOpen Computer Vision is a complex software that provides a range of algorithms to developers in open source form so that they can integrate advanced features into their software and save the time required to do everything themselves.

The package comes with interfaces for numerous platforms in addition to Windows and supports a number of different programming languages, namely C++, C, Python, and Java. It focuses primarily on real-time applications, which are developed in a way that can successfully utilize the multi-core processing power of the system.

OpenCV comes with several different modules, each of which caters to different needs, but complement each other. Thus, the “core” provides the user with basic data structures and functions, while the “Imgproc” component acts as image processing methods, including image filtering (linear and non-linear), as well as other image editing options (resizing, warping, remapping) or color space conversion.

In the “Video” module, users can find several powerful algorithms for motion estimation, object tracking and background subtraction operations. The “Calib3d” component contains multi-view geometry algorithms providing a variety of functionalities such as camera calibration or 3D reconstruction.

The “Features2d” module includes descriptors and descriptor matchers, as well as salient feature detection tools. With the “Objdetect” library, users can find various objects from predefined categories (such as cars, faces, eyes, etc.).

OpenCV also includes “Highgui”, a module designed to be used as a UI for video capture, image and video codecs. The “GPU” module contains algorithms for GPU-accelerated tasks. Additionally, some auxiliary libraries can be found, namely FLANN or the Google Test wrapper.