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Fernández Villán - Mastering OpenCV 4 with Python : A Practical Guide Covering Topics from Image Processing, Augmented Reality to Deep Learning with OpenCV 4 and Python 3. 7.

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Mastering OpenCV 4 with Python : A Practical Guide Covering Topics from Image Processing, Augmented Reality to Deep Learning with OpenCV 4 and Python 3. 7.: summary, description and annotation

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Mastering OpenCV 4 with Python is a comprehensive guide to help you to get acquainted with various computer vision algorithms running in real-time. This book will help you to build complete projects on image processing, motion detection, and image segmentation where you can gain advanced computer vision techniques.

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Mastering OpenCV 4 with Python
A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
Alberto Fernndez Villn

BIRMINGHAM - MUMBAI Mastering OpenCV 4 with Python Copyright 2019 Packt - photo 2

BIRMINGHAM - MUMBAI
Mastering OpenCV 4 with Python

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: Alok Dhuri
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Technical Editor: Riddesh Dawne
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Graphics: Jisha Chirayil
Production Coordinator: Shraddha Falebhai

First published: March 2019

Production reference: 1280319

Published by Packt Publishing Ltd.
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ISBN 978-1-78934-491-2

www.packtpub.com

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Contributors
About the author

Alberto Fernndez Villn is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.

About the reviewers

Wilson Choo is a computer vision engineer working on validating computer vision and deep learning algorithms on many different hardware configurations. His strongest skills include algorithm benchmarking, integration, app development, and test automation.

He is also a machine learning and computer vision enthusiast. He often researches trending CVDL algorithms and applies them to solve modern-day problems. Besides that, Wilson likes to participate in hackathons, where he showcases his ideas and competes with other developers. His favorite programming languages are Python and C++.

Vincent Kok is a maker and a software platform application engineer in the transportation industry. He graduated from USM with a MSc in embedded system engineering. Vincent actively involves himself with the developer community, as well as attending Maker Faire events held around the world, such as in Shenzhen in 2014, and in Singapore and Tokyo in 2015. Designing electronics hardware kits and giving soldering/Arduino classes for beginners are some of his favorite ways to spend his free time. Currently, his focus is in computer vision technology, software test automation, deep learning, and constantly keeping himself up to date with the latest technology.

Rubn Usamentiaga is a tenured associate professor in the department of computer science and engineering at the University of Oviedo. He received his M.S. and Ph.D. degrees in computer science from the University of Oviedo in 1999 and 2005, respectively. He has participated in 4 European projects, 3 projects of the National R&D Plan, 2 projects of the Regional Plan of the Principado of Asturias, and 14 contracts with companies. He is the author of more than 60 publications in JCR journals (25 of Q1) and more than 50 publications in international conferences. In addition, he has completed a 6-month research stay at the Aeronautical Technology Center and a 3-month research stay at the University of Laval in Quebec.

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 understand computer vision concepts clearly and explain them in an intuitive way in 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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