Learning.OpenCV.3.Computer.Vision.with.Python.2nd

【实例简介】
Unleash the power of computer vision with Python using OpenCV About This Book Create impressive applications with OpenCV and Python Familiarize yourself with advanced machine learning concepts Harness the power of computer vision with this easy-to-follow guide Who This Book Is For Intended for novi
Learning OpenCV 3 Computer vision with Python Second edition Copyright o 2015 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals However Packt publishing cannot guarantee the accuracy of this information. First published: September 2015 Production reference: 1240915 Published by Packt Publishing Ltd Livery place 35 Livery street Birmingham b3 2PB, UK ISBN978-1-78528-384-0 www.packtpub.com FM-2 Credits Authors Project Coordinator Joe minchin n dsouza Joseph howse Proofreader Reviewers Safis Editing Nandan banerjee Tian cao Indexer Brandon castellano Monica Ajmera Mehta Haojian Jin Graphics Adrian rosebrock Disha haria Commissioning Editor Production coordinator Akram hussain Acquisition Editors Cover work Nivek anantharaman Arvindkumar Gupta Prachi Bisht Content Development Editor Ritika Singh Technical edito Novina Kewalramani Shivani Kiran mistry Copy Editor Sonia cheema [FM-3] About the authors Joe Minichino is a computer vision engineer for Hoolux medical by day and a developer of the nosql database lokijs by night. On weekends, he is a heavy metal singer/songwriter. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experiments with them. At Hoolux, Joe leads the development of an Android computer vision-based advertising platform for the medical industry Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy(at Milan's Universita Statale), Joe has spent his last 11 years living in Cork, Ireland, which is where he became a computer science graduate at the Cork Institute of Technology I am immensely grateful to my partner, Rowena, for always encouraging me, and also my two little daughters for inspiring me. a big thank you to the collaborators and editors of this book, pecially Joe Howse, Adrian roesbrock, Brandon Castellano, the OpenCV community, and the people at Packt Publishing Joseph Howse lives in Canada. During the winters, he grows his beard,while his four cats grow their thick coats of fur. He loves combing his cats every day and sometimes, his cats also pull his beard He has been writing for Packt publishing since 2012. His books include Open cv for Secret Agents, OpenCV Blueprints, Android Application Programming with Opencv 3, OpenCv computer Vision with Python, and Python Game Programming by example When he is not writing books or grooming his cats, he provides consulting, training, and software development services through his company NummistmEdia(http://nummist.com FM-4 About the reviewers Nandan banerjee has a bachelor's degree in computer science and a master's in robotics engineering. He started working with Samsung Electronics right after graduation. He worked for a year at its r&d centre in Bangalore. He also worked in the WPi-Cmu team on the boston dynamics robot Atlas for the darpa robotics Challenge. He is currently working as a robotics software engineer in the technology organization at iRobot Corporation. He is an embedded systems and robotics enthusiast with an inclination toward computer vision and motion planning. He has xperience in various languages, including C, C++, Python, Java, and Delphi. He lso has a substantial experience in working with roS, Openrave, OpenCV, PCL, OpenGL, CUDA and the Android SDK I would like to thank the author and publisher for coming out with this wonderful book Tian Cao is pursuing his PhD in computer science at the University of North Carolina in Chapel Hill, USA, and working on projects related to image analysis, computer vision and machine learning I dedicate this work to my parents and girlfriend [FM-5] Brandon Castellano is a student from Canada pursuing an MESc in electrical engineering at the university of Western Ontario, City of London, Canada. He received his besc in the same subject in 2012. The focus of his research is in parallel processing and GPGPU/FPGA optimization for real-time implementations of image processing algorithms. Brandon also works for Eagle Vision Systems Inc, focusing on the use of real-time image processing for robotics applications While he has been using open cv and c++ for more than 5 years, he has also been advocating the use of Python frequently in his research, most notably, for its rapid speed of development, allowing low-level interfacing with complex systems. This is evident in his open source projects hosted on GitHub for example, PySceneDetect which is mostly written in Python. In addition to image/video processing, he has also worked on implementations of three-dimensional displays as well as the software tools to support the development of such displays In addition to posting technical articles and tutorials on his website (http://www.bcastell.com),heparticipatesinavarietyofbothopenand closed source projects and contributes to GitHub under the username Breakthrough (http://www.github.com/breakthrougH).HeisanactivememberoftheSuper User and Stack Overflow communities(under the name Breakthrough), and can be contacted directly via his website I would like to thank all my friends and family for their patience during the past few years(especially my parents, Peter and lori, and my brother, Mitchell). I could not have accomplished everything without their continued love and support. I cant ever thank everyone enough I would also like to extend a special thanks to all of the developers that contribute to open source software libraries, specifically OpenCV, which help bring the development of cutting-edge software technology closer to all the software developers around the world, free of cost i would also like to thank those people who hel write documentation, submit bug reports, and write tutorials/books (especially the author of this book! ) Their contributions are vital to the success of any open source project, especially one that is as extensive and complex as openCv [FM-6] Haojian in is a software engineer/researcher at Yahoo! Labs, Sunnyvale, CA. He looks primarily at building new systems of what's possible on commodity mobile devices(or with minimum hardware changes). To create things that don't exist today, he spends large chunks of his time playing with signal processing, computer vision, machine learning, and natural language processing and using them in nterestingwaysYoucanfindmoreabouthimathttp://shift-3.com/ AdrianRosebrockisanauthorandbloggerathttp://www.pyimagesearch.com/ He holds a PhD in computer science from the University of Maryland, Baltimore County, USA, with a focus on computer vision and machine learning He has consulted for the National Cancer Institute to develop methods that automatically predict breast cancer risk factors using breast histology images. He has alsoauthoredabookPracticalPythonandOpencv(http://pyimg.co/x7ed5),onthe utilization of Python and OpenCV to build real-world computer vision applications [FM-7] Www.Packtpub.com Support files, eBooks, discount offers, and more Forsupportfilesanddownloadsrelatedtoyourbookpleasevisitwww.packtpui.cOm Did you know that packt offers e Book versions of every book published, with PDF ndepuBfilesavailableYoucanupgradetotheeboOkversionatwww.packtpub.Com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at service@packtpub com for more details Atwww.packtpub.comyoucanalsoreadacollectionoffreetechnicalarticl g up for a range of free newsletters and receive exclusive discounts and offers on Packt books and ebooks JPACKTLIB https://www2.packtpub.ccm/books/subscription/packtlib Do you need instant solutions to your It questions? PacktLib is Packt's online digital book library. Here, you can search, access, and read Packt's entire library of books Why subscribe? Fully searchable across every book published by packt Copy and paste, print, and bookmark content On demand and accessible via a web browser Free access for packt account holders AouhaveanaccountwithPacktatwww.packtpub.comyoucanusethistoaccess If PacktLib today and view g entirely free books Simply use your login credentials for immediate access [FM-8] Table of contents Preface Chapter 1: Setting Up opencv Choosing and using the right setup tools Installation on Windows 2 Using binary installers(no support for depth cameras) Using Cmake and compilers Installing on os x Using MacPorts with ready-made packages Using MacPorts with your own custom packages Using Homebrew with ready-made packages(no support for depth cameras) Using Homebrew with your own custom packages 13 Installation on ubuntu and its derivatives 13 Using the Ubuntu repository (no support for depth cameras) 14 Building OpenCv from a source 14 Installation on other Unix-like systems 15 Installing the Contrib modules 16 Running samples Finding documentation, help, and updates 18 Summary 19 Chapter 2: Handling Files, Cameras, and GUIs 21 Basic l/o scripts 21 Reading/writing an image file Converting between an image and raw bytes 24 Accessing image data with numpy array 26 Reading/writing a video file 28 Capturing camera frames 29 Displaying images in a window 31 Displaying camera frames in a window 32 Project Cameo(face tracking and image manipulation) 34 【实例截图】
【核心代码】