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The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance.
OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction.
OPENCV_CREATESAMPLES(1) User Commands OPENCV_CREATESAMPLES(1) NAME opencv_createsamples - create training and testing samples SYNOPSIS opencv_createsamples [options] DESCRIPTION opencv_createsamples creates positive samples from a single object image or a collection of positive images. The scheme of test samples creation is similar to traini more»
OPENCV_HAARTRAINING(1) User Commands OPENCV_HAARTRAINING(1) NAME opencv_haartraining - train classifier SYNOPSIS opencv_haartraining [options] DESCRIPTION opencv_haartraining is training the classifier. While it is running, you can already get an impression, whether the clas‐ sifier will be suitable or if you need to improve the train‐ more»
OPENCV_PERFORMANCE(1) User Commands OPENCV_PERFORMANCE(1) NAME opencv_performance - evaluate the performance of the classi‐ fier SYNOPSIS opencv_performance [options] DESCRIPTION opencv_performance evaluates the performance of the classi‐ fier. It takes a collection of marked up test images, applies the classifier and outputs the more»
OPENCV_TRAINCASCADE(1) User Commands OPENCV_TRAINCASCADE(1) NAME opencv_traincasc more»
opencv (2.1.0-3+squeeze1) stable-proposed-updates; urgency=low * Fix install path of opencv-doc ( more»
This package was debianized by Sam Hocevar <email@example.com> on Thu, 1 Apr 2004 17:32:06 +0200. It was more»