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



Buy Learning OpenCV 3 by Adrian Kaehler with free worldwide delivery (isbn: 9781491937990). Written by Computer Vision in C++ with the Opencv Library. It: Adrian Kaehler, Gary Bradski: Libri in altre lingue. Learning OpenCV 3.0puts you in the middle of the expanding field of computer vision. Learning OpenCV 3.0 puts you in the middle of the expanding field of Computer Vision in C++ with the Opencv Library. 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 . Learning OpenCV 3: Computer Vision in C++ with the Opencv Library, 作者: Adrian Kaehler,Gary R. Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library: Amazon. OpenCV [OpenCV] is an open source (see http://opensource.org) computer vision library available from http//opencv.org. Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Bradski, O'Reilly Media, Inc, USA. The library is written in C and C++ and runs under Linux, Windows, and Mac OS X. OpenCV supports a wide variety of programming languages such as C++, Python, Java, etc., and is OpenCV- Python is a library of Python bindings designed to solve computer vision problems. OpenCV is released under a BSD license and hence it's free for both academic and commercial use. Learning Opencv 3: Computer Vision in C++ with the Opencv Library: Amazon.de : Adrian Kaehler, Gary Bradski: Fremdsprachige Bücher. Learning OpenCV: Computer Vision in C++ with the OpenCV Library (Early Release), 2nd Edition. Written by the Computer Vision in C++ with the OpenCV Library. OpenCV now supports a multitude of algorithms related to Computer Vision and Machine Learning and is expanding day by day. Written in optimized C/C++, the library can take advantage of multi-core processing. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android.





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