A Computer Vision Library
OpenCV (Open Source Computer Vision Library: http://opencv.org) is a free software library that includes several hundreds of computer vision algorithms. The document describes the so-called OpenCV 2.x API, which is essentially a C++ API, as opposed to the C-based OpenCV 1.x API (C API is deprecated and not tested with "C" compiler since OpenCV 2.4 releases)
OpenCV has a modular structure, which means that the package includes several shared or static libraries. The following modules are available:
Core functionality (core) - a compact module defining basic data structures, including the dense multi-dimensional array Mat and basic functions used by all other modules. Image Processing (imgproc) - an image processing module that includes linear and non-linear image filtering, geometrical image transformations (resize, affine and perspective warping, generic table-based remapping), color space conversion, histograms, and so on. Video Analysis (video) - a video analysis module that includes motion estimation, background subtraction, and object tracking algorithms. Camera Calibration and 3D Reconstruction (calib3d) - basic multiple-view geometry algorithms, single and stereo camera calibration, object pose estimation, stereo correspondence algorithms, and elements of 3D reconstruction. 2D Features Framework (features2d) - salient feature detectors, descriptors, and descriptor matchers. Object Detection (objdetect) - detection of objects and instances of the predefined classes (for example, faces, eyes, mugs, people, cars, and so on). High-level GUI (highgui) - an easy-to-use interface to simple UI capabilities. Video I/O (videoio) - an easy-to-use interface to video capturing and video codecs. ... some other helper modules, such as FLANN and Google test wrappers, Python bindings, and others.
14 September 2020
14 September 2020
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