OpenCV (Open Source Computer Vision Library) is a library that includes several hundreds of computer vision algorithms.
OpenCV has a modular structure, which means that the package includes several shared or static libraries. T
This is free and open source software.
Modules provided:
- 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.
- Other helper modules, such as FLANN and Google test wrappers, Python bindings, and others.
Website: opencv.org
Support: Documentation, GitHub Code Repository
Developer: Intel Corporation and others
License: Apache License version 2.0
OpenCV is written in C++ and C. Learn C++ with our recommended free books and free tutorials. Learn C++ with our recommended free books and free tutorials.
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