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Mastering OpenCV 4 with Python

You're reading from  Mastering OpenCV 4 with Python

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344912
Pages 532 pages
Edition 1st Edition
Languages
Author (1):
Alberto Fernández Villán Alberto Fernández Villán
Profile icon Alberto Fernández Villán

Table of Contents (20) Chapters

Preface 1. Section 1: Introduction to OpenCV 4 and Python
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

An introduction to machine learning

In Chapter 1, Setting Up OpenCV, we introduced the concepts of computer vision, artificial intelligence, machine learning, neural networks, and deep learning, which can be structured in a hierarchical way, as shown here:

As can be seen, the Artificial Intelligence topic includes all of the other topics. In this chapter, we are going to focus on Machine Learning.

See Chapter 1, Setting Up OpenCV, if you want a refresher on these concepts.

Machine Learning is the process of programming computers to learn from historical data to make predictions on new data. Machine Learning is a sub-discipline of artificial intelligence and refers to statistical techniques, by which machines perform on the basis of learned interrelationships. On the basis of gathered or collected data, algorithms are independently learned by computers.

In the context of Machine...

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