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Mastering OpenCV 4 with Python

You're reading from 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

Product type Paperback

Published in Mar 2019

Publisher Packt

ISBN-13 9781789344912

Length 532 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Augmented Reality

Author (1):

Alberto Fernández Villán

View More author details

Table of Contents (20) Chapters

Title Page

About Packt

Contributors

Preface

1. Setting Up OpenCV FREE CHAPTER

2. Image Basics in OpenCV

3. Handling Files and Images

4. Constructing Basic Shapes in OpenCV

5. Image Processing Techniques

6. Constructing and Building Histograms

7. Thresholding Techniques

8. Contour Detection, Filtering, and Drawing

9. Augmented Reality

10. Machine Learning with OpenCV

11. Face Detection, Tracking, and Recognition

12. Introduction to Deep Learning

13. Mobile and Web Computer Vision with Python and OpenCV

1. Assessments

2. Other Books You May Enjoy

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Index

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Authors (1)

Alberto Fernández Villán

Alberto Fernández Villán

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.

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