Learning OpenCV

Download or Read eBook Learning OpenCV PDF written by Gary R. Bradski and published by . This book was released on 2008 with total page 555 pages. Available in PDF, EPUB and Kindle.
Learning OpenCV
Author :
Publisher :
Total Pages : 555
Release :
ISBN-10 : 7564116293
ISBN-13 : 9787564116293
Rating : 4/5 (93 Downloads)

Book Synopsis Learning OpenCV by : Gary R. Bradski

Book excerpt: 本书介绍了计算机视觉,例证了如何迅速建立使计算机能“看”的应用程序,以及如何基于计算机获取的数据作出决策.


Learning OpenCV Related Books

Learning OpenCV
Language: zh-CN
Pages: 555
Authors: Gary R. Bradski
Categories: Computer vision
Type: BOOK - Published: 2008 - Publisher:

DOWNLOAD EBOOK

本书介绍了计算机视觉,例证了如何迅速建立使计算机能“看”的应用程序,以及如何基于计算机获取的数据作出决策.
Learning OpenCV 3
Language: en
Pages: 1023
Authors: Adrian Kaehler
Categories: Computers
Type: BOOK - Published: 2016-12-14 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

"This book provides a working guide to the C++ Open Source Computer Vision Library (OpenCV) version 3.x and gives a general background on the field of computer
Machine Learning for OpenCV
Language: en
Pages: 368
Authors: Michael Beyeler
Categories: Computers
Type: BOOK - Published: 2017-07-14 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This Book Load, store, edit, and visualize
Learning OpenCV 3 Computer Vision with Python
Language: en
Pages: 266
Authors: Joe Minichino
Categories: Computers
Type: BOOK - Published: 2015-09-29 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Unleash the power of computer vision with Python using OpenCV About This Book Create impressive applications with OpenCV and Python Familiarize yourself with ad
Mastering OpenCV 4 with Python
Language: en
Pages: 517
Authors: Alberto Fernández Villán
Categories: Computers
Type: BOOK - Published: 2019-03-29 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented