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You're reading from Learn OpenCV 4 by Building Projects Build real-world computer vision and image processing applications with OpenCV and C++

Product type Paperback

Published in Nov 2018

Publisher Packt

ISBN-13 9781789341225

Length 310 pages

Edition 2nd Edition

Languages

C++

Tools

OpenCV

Concepts

Computer Vision

Authors (3):

David Millán Escrivá

Prateek Joshi

Vinícius G. Mendonça

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Table of Contents (14) Chapters

Preface

1. Getting Started with OpenCV

2. An Introduction to the Basics of OpenCV FREE CHAPTER

3. Learning Graphical User Interfaces

4. Delving into Histogram and Filters

5. Automated Optical Inspection, Object Segmentation, and Detection

6. Learning Object Classification

7. Detecting Face Parts and Overlaying Masks

8. Video Surveillance, Background Modeling, and Morphological Operations

9. Learning Object Tracking

10. Developing Segmentation Algorithms for Text Recognition

11. Text Recognition with Tesseract

12. Deep Learning with OpenCV

13. Other Books You May Enjoy

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Technical requirements

To follow the chapter with ease, it is required that you install OpenCV with the deep learning module compiled. If you do not have this module, you will not be able to compile and run the sample codes.

It's very useful to have an NVIDIA GPU with CUDA support. You can enable CUDA on OpenCV to improve the speed of training and detection.

Finally, you can download the code used in this chapter from https://github.com/PacktPublishing/Learn-OpenCV-4-By-Building-Projects-Second-Edition/tree/master/Chapter_12.

Check out the following video to see the Code in Action:
http://bit.ly/2SmbWf7

The rest of the chapter is locked

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Authors (3)

Millán Escrivá

David Millán Escrivá was 8 years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT with honors, through the Universitat Politécnica de Valencia, in human-computer interaction supported by computer vision with OpenCV (v0.96). He has worked with Blender, an open source, 3D software project, and on its first commercial movie, Plumiferos, as a computer graphics software developer. David has more than 10 years' experience in IT, with experience in computer vision, computer graphics, pattern recognition, and machine learning, working on different projects, and at different start-ups, and companies. He currently works as a researcher in computer vision.

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Joshi

Vijay Joshi is a full stack web developer having more than a decade of experience in working with PHP and JavaScript.

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Vinícius G. Mendonça

Vinícius G. Mendonça is a professor at PUCPR and a mentor at Apple Developer Academy. He has a master's degree in Computer Vision and Image Processing (PUCPR) and a specialization degree in Game Development (Universidade Positivo). He is also one of the authors of the book Learn OpenCV 4 by Building Projects, also by Packt Publishing. He has been in this field since 1996. His former experience includes designing and programming a multithreaded framework for PBX tests at Siemens, coordination of Aurélio Dictionary software (including its apps for Android, IOS, and Windows phones), and coordination of an augmented reality educational activity for Positivo's Mesa Alfabeto, presented at CEBIT. Currently, he works with server-side Node.js at a company called Tenet Tech.

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