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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

Preface

1. Section 1: Introduction to OpenCV 4 and Python FREE CHAPTER

2. Setting Up OpenCV

3. Image Basics in OpenCV

4. Handling Files and Images

5. Constructing Basic Shapes in OpenCV

6. Section 2: Image Processing in OpenCV

7. Image Processing Techniques

8. Constructing and Building Histograms

9. Thresholding Techniques

10. Contour Detection, Filtering, and Drawing

11. Augmented Reality

12. Section 3: Machine Learning and Deep Learning in OpenCV

13. Machine Learning with OpenCV

14. Face Detection, Tracking, and Recognition

15. Introduction to Deep Learning

16. Section 4: Mobile and Web Computer Vision

17. Mobile and Web Computer Vision with Python and OpenCV

18. Assessments

19. Other Books You May Enjoy

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Questions

What are the three main approaches in the context of machine learning?
What is the difference between a classification and a regression problem?
What function does OpenCV provide to implement a k-means clustering algorithm?
What function does OpenCV provide to create a kNN classifier?
What function does OpenCV provide to find the nearest neighbors?
What function does OpenCV provide to create an SVM classifier?
What is a reasonable first choice for an SVM kernel?

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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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