• Complain

Prateek Joshi - OpenCV 3.x with Python By Example - Second Edition

Here you can read online Prateek Joshi - OpenCV 3.x with Python By Example - Second Edition full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2018, publisher: Packt Publishing, genre: Computer. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Prateek Joshi OpenCV 3.x with Python By Example - Second Edition
  • Book:
    OpenCV 3.x with Python By Example - Second Edition
  • Author:
  • Publisher:
    Packt Publishing
  • Genre:
  • Year:
    2018
  • Rating:
    4 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 80
    • 1
    • 2
    • 3
    • 4
    • 5

OpenCV 3.x with Python By Example - Second Edition: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "OpenCV 3.x with Python By Example - Second Edition" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV. About This Book Learn how to apply complex visual effects to images with OpenCV 3.x and Python Extract features from an image and use them to develop advanced applications Build algorithms to help you understand image content and perform visual searches Get to grips with advanced techniques in OpenCV such as machine learning, artificial neural network, 3D reconstruction, and augmented reality 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, matrices, and so on. What You Will Learn Detect shapes and edges from images and videos How to apply filters on images and videos Use different techniques to manipulate and improve images Extract and manipulate particular parts of images and videos Track objects or colors from videos Recognize specific object or faces from images and videos How to create Augmented Reality applications Apply artificial neural networks and machine learning to improve object recognition In Detail 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 have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular Ope ... Read more...
Abstract: Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV. About This Book Learn how to apply complex visual effects to images with OpenCV 3.x and Python Extract features from an image and use them to develop advanced applications Build algorithms to help you understand image content and perform visual searches Get to grips with advanced techniques in OpenCV such as machine learning, artificial neural network, 3D reconstruction, and augmented reality 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, matrices, and so on. What You Will Learn Detect shapes and edges from images and videos How to apply filters on images and videos Use different techniques to manipulate and improve images Extract and manipulate particular parts of images and videos Track objects or colors from videos Recognize specific object or faces from images and videos How to create Augmented Reality applications Apply artificial neural networks and machine learning to improve object recognition In Detail 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 have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular Ope

Prateek Joshi: author's other books


Who wrote OpenCV 3.x with Python By Example - Second Edition? Find out the surname, the name of the author of the book and a list of all author's works by series.

OpenCV 3.x with Python By Example - Second Edition — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "OpenCV 3.x with Python By Example - Second Edition" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
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 - 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!
Packt is searching for authors like you

If you're interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.

maptio Mapt is an online digital library that gives you full access to over - photo 3
mapt.io

Mapt is an online digital library that gives you full access to over 5,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career. For more information, please visit our website.

Why subscribe?
  • Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals

  • Improve your learning with Skill Plans built especially for you

  • Get a free eBook or video every month

  • Mapt is fully searchable

  • Copy and paste, print, and bookmark content

PacktPub.com

Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.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.

At www.PacktPub.com , you can also read a collection of free technical articles, sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks.

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
Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «OpenCV 3.x with Python By Example - Second Edition»

Look at similar books to OpenCV 3.x with Python By Example - Second Edition. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «OpenCV 3.x with Python By Example - Second Edition»

Discussion, reviews of the book OpenCV 3.x with Python By Example - Second Edition and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.