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Mastering OpenCV 4

You're reading from   Mastering OpenCV 4 A comprehensive guide to building computer vision and image processing applications with C++

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781789533576
Length 280 pages
Edition 3rd Edition
Languages
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Authors (2):
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Roy Shilkrot Roy Shilkrot
Author Profile Icon Roy Shilkrot
Roy Shilkrot
David Millán Escrivá David Millán Escrivá
Author Profile Icon David Millán Escrivá
David Millán Escrivá
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Toc

Table of Contents (12) Chapters Close

Preface 1. Cartoonifier and Skin Color Analysis on the RaspberryPi FREE CHAPTER 2. Explore Structure from Motion with the SfM Module 3. Face Landmark and Pose with the Face Module 4. Number Plate Recognition with Deep Convolutional Networks 5. Face Detection and Recognition with the DNN Module 6. Introduction to Web Computer Vision with OpenCV.js 7. Android Camera Calibration and AR Using the ArUco Module 8. iOS Panoramas with the Stitching Module 9. Finding the Best OpenCV Algorithm for the Job 10. Avoiding Common Pitfalls in OpenCV 11. Other Books You May Enjoy

To get the most out of this book

The book assumes that readers have a firm grasp of programming concepts and software engineering skills, building and running software from scratch in C++. The book also features code in JavaScript, Python, Java, and Swift. Engineers looking to dive deeper into those sections will benefit from programming language knowledge beyond C++.

Readers of this book should be able to obtain an installation of OpenCV in its various flavors. Some chapters will require a Python, others an Android, installation. Obtaining these and installing them is discussed thoroughly in the accompanying code and in the text.

Download the example code files

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

  1. Log in or register at www.packt.com.
  2. Select the SUPPORT tab.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR/7-Zip for Windows
  • Zipeg/iZip/UnRarX for Mac
  • 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Mastering-OpenCV-4-Third-Edition. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "To see the remaining space on your SD card, run df -h | head -2."

A block of code is set as follows:

Mat bigImg; 
resize(smallImg, bigImg, size, 0,0, INTER_LINEAR);
dst.setTo(0);
bigImg.copyTo(dst, mask);

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

Mat bigImg; 
resize(smallImg, bigImg, size, 0,0, INTER_LINEAR);
dst.setTo(0);
bigImg.copyTo(dst, mask);

Any command-line input or output is written as follows:

sudo apt-get purge -y wolfram-engine

Bold: Indicates a new term, an important word, or words that you see on screen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Navigate to Media | Open Network Stream."

Warnings or important notes appear like this.
Tips and tricks appear like this.
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