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Howse - OpenCV 4 for Secret Agents

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OpenCV 4 for Secret Agents Second Edition Use OpenCV 4 in secret projects - photo 1
OpenCV 4 for Secret Agents
Second Edition
Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers
Joseph Howse

BIRMINGHAM - MUMBAI OpenCV 4 for Secret AgentsSecond Edition Copyright 2019 - photo 2

BIRMINGHAM - MUMBAI
OpenCV 4 for Secret AgentsSecond Edition

Copyright 2019 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 author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been 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.

Commissioning Editor: Richa Tripathi
Acquisition Editor: Chaitanya Nair
Content Development Editors: Digvijay Bagul
Technical Editor: Riddesh Dawne
Copy Editor: Safis Editing
Project Coordinator: Prajakta Naik
Proofreader: Safis Editing
Indexer: Pratik Shirodkar
Graphics: Tom Scaria
Production Coordinator: Nilesh Mohite

First published: January 2015
Second edition: April 2019

Production reference: 1300419

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78934-536-0

www.packtpub.com


I dedicate my work to Sam, Jan, Bob, Bunny, and the cats, who have been my lifelong guides and companions.
Let us remember Plasma Tigerlily Zoya (2004-2017), a pioneer of feline computer vision, and a cat of great virtue.
Joseph Howse
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Contributors
About the author

Joseph Howse lives in a Canadian fishing village with four cats; the cats like fish, but they prefer chicken.

Joseph provides computer vision expertise through his company, Nummist Media. His books include OpenCV 4 for Secret Agents, OpenCV 3 Blueprints, Android Application Programming with OpenCV 3, iOS Application Development with OpenCV 3, Learning OpenCV 3 Computer Vision with Python, and Python Game Programming by Example, published by Packt.

I want to thank the readers such as Dan and Cindy Davis of Farmington, Utah who shared their enthusiasm for this book's first edition and told me of their own adventures in computer vision. I am grateful to the editors, technical reviewers, and marketers of both editions, as well as my colleagues at Market Beat (El Salvador) and at General Motors who gave feedback on drafts. Above all, my family makes my work possible and I dedicate it to them.
About the reviewers

ChristianStehno studied computer science, receiving his diploma from Oldenburg University, Germany, in 2000. Since then, he's worked in different fields of computer science, first as a researcher on theoretical computer science at an academic institution, before switching later on to embedded system design at a research institute. In 2010, he started his own company, CoSynth, which develops embedded systems and intelligent cameras for industrial automation. In addition, he is a long-time member of the Irrlicht 3D engine developer team.

Arun Ponnusamy works as a computer vision research engineer at an AI start-up in India. He is a lifelong learner, passionate about image processing, computer vision, and machine learning. He is an engineering graduate from PSG College of Technology, Coimbatore . He started his career at MulticoreWare Inc., where he spent most of his time on image processing, OpenCV, software optimization, and GPU computing.

Arun loves to build his understanding of computer vision concepts clearly, allowing him to explain it in an intuitive way on his blog and in meetups. He has created an open source Python library for computer vision, named cvlib, which is aimed at simplicity and user friendliness. He is currently working on object detection, action recognition, and generative networks.

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Preface

Computer vision systems are deployed in the Arctic Ocean to spot icebergs at night. They are flown over the Amazon rainforest to create aerial maps of fires, blights, and illegal logging. They are set up in ports and airports worldwide to scan for suspects and contraband. They are sent to the depths of the Marianas Trench to guide autonomous submarines. They are used in operating rooms to help surgeons visualize the planned procedure and the patient's current condition. They are launched from battlefields as the steering systems of heat-seeking, anti-aircraft rockets.

We might seldomor nevervisit these places. However, stories often encourage us to imagine extreme environments and a person's dependence on tools in these unforgiving conditions. Perhaps fittingly, one of contemporary fiction's most popular characters is an almost ordinary man (handsome, but not

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