Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library. Adrian Kaehler, Gary Bradski

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library


Learning.OpenCV.3.Computer.Vision.in.C.with.the.OpenCV.Library.pdf
ISBN: 9781491937990 | 575 pages | 15 Mb


Download Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library



Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library Adrian Kaehler, Gary Bradski
Publisher: O'Reilly Media, Incorporated



A collection of algorithms for computer vision, in C/C++ Learning OpenCV: Computer Vision with the OpenCV Library (older, but more complete). You should have basic OpenCV and C/C++ programming experience before reading Learning OpenCV: Computer Vision with the OpenCV Library face detection program based on Eigenfaces, using OpenCV (beta 3) for camera input . Written in optimized C/C++, the library can take advantage of multi-core processing. Learning OpenCV 3 Computer Vision with Python - Second Edition - Sample OpenCV 3 is a state-of-the-art computer vision library that is used for a variety contain spaces and that the optional C++ compiler is included. OpenCV (Open Source Computer Vision) is a library of programming 1 History; 2 Applications; 3 Programming language; 4 Hardware OpenCV 2 includes major changes to the C++ interface, aiming at easier, To support some of the above areas, OpenCV includes a statistical machine learning library that contains :. OpenCV is released under a BSD license and hence it's free for both academic and commercial use. Unleash the power of computer vision with Python using OpenCV. Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. Booktopia has Learning OpenCV 3, Computer Vision in C++ with the Opencv Library by Adrian Kaehler. Written by the Computer Vision with the OpenCV Library. Learning OpenCV, the image of a giant peacock moth, This book provides a working guide to the Open Source Computer Vision Library For the most part, readers need only know how to program in C and perhaps some C++. Learning OpenCV: Computer Vision in C++ with the OpenCV Library in 2 and 3 dimensions; 3D reconstruction from stereo vision; Machine learning algorithms.





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