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Calvo Gabriel Garrido - OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition

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Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease.

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OpenCV 3x with Python By Example Second Edition Make the most of OpenCV - photo 1
OpenCV 3.x with Python By Example
Second Edition
Make the most of OpenCV and Python to build applications for object recognition and augmented reality
Gabriel Garrido
Prateek Joshi

BIRMINGHAM - MUMBAI OpenCV 3x with Python By ExampleSecond Edition Copyright - photo 2

BIRMINGHAM - MUMBAI
OpenCV 3.x with Python By ExampleSecond Edition

Copyright 2018 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 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: Aaron Lazar
Acquisition Editor: Chaitanya Nair
Content Development Editor: Rohit Kumar Singh
Technical Editor: Ketan Kamble
Copy Editor: Safis Editing
Project Coordinator: Vaidehi Sawant
Proofreader: Safis Editing
Indexer: Rekha Nair
Graphics Coordinator: Jason Monteiro
Production Coordinator: Shraddha Falebhai

First published: September 2015
Second edition: January 2018

Production reference: 1150118

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

ISBN 978-1-78839-690-5

www.packtpub.com

Contributors
About the authors

Gabriel Garrido is a multifaceted and versatile software engineer with more than 7 years of experience in developing web applications for companies such as Telefonica, Trivago, and Base7Booking. He has a degree in computer science from the University of Granada, Spain.

He is passionate about coding, focusing on its quality and spending hours working on personal projects based on technologies such as computer vision, artificial intelligence, and augmented reality. Taking part in hackathons is one of his hobbies. He has won a couple of prizes for implementing beta software for a Google Cardboard hackathon and another for a travel assistant at a TNOOZ hackathon.

I'd like to thank each one of the colleagues that I've had close to me throughout all these years working in the software industry for helping me enhance my knowledge and my experience in this amazing world of hacking.

Prateek Joshi is an artificial intelligence researcher, an author of eight published books, and a TEDx speaker. He has been featured in Forbes 30 Under 30, CNBC, TechCrunch, Silicon Valley Business Journal, and many more publications. He is the founder of Pluto AI, a venture-funded Silicon Valley start-up building an intelligence platform for water facilities. He has been an invited speaker at technology and entrepreneurship conferences including TEDx, Global Big Data Conference, Machine Learning Developers Conference, Sensors Expo , and more. His tech blog has more than 1.6 million page views from over 200 countries, and he has more than 7,400 followers. He graduated from the University of Southern California with a master's degree specializing in Artificial Intelligence. He has previously worked at NVIDIA and Microsoft Research. You can learn more about him on his personal website.

About the reviewer

Naren Yellavula, better known as Naren Arya in the developer community, is a Python and Go developer from Bangalore, India. He works as software engineer level two for Citrix R&D India, and as a full stack developer, he develops single-page applications and microservices. He loves the UNIX philosophy and blogs about programming. He has also been a speaker at various developer conferences, such as PyCon India 2015 and 2017. When he's not staring at his computer screen, he enjoys reading books.

I really appreciate Prateek and Gabriel for their passion in writing this amazing book. This book covers a wide range of topics on computer vision and AI. As an initial reader in the reviewing process, I enjoyed reading this book thoroughly. I also sincerely congratulate the editorial team for their hard work in polishing and iterating the book. All the best!
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Preface

Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementations.

Who this book is for

This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV and Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors and matrices.

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