You're reading from Mastering OpenCV 4 with Python

Product typeBook

Published inMar 2019

Reading LevelExpert

PublisherPackt

ISBN-139781789344912

Edition1st Edition

Languages

Python

Tools

OpenCV

Concepts

Computer Vision

Author (1)

Alberto Fernández Villán

Section 3: Machine Learning and Deep Learning in OpenCV

In this third section of the book, you'll get a taste of machine learning and deep learning. We will explore and make use of OpenCV's machine learning module. Additionally, you will learn how to create face processing projects using state-of-the-art algorithms in connection with face detection, tracking, and recognition. Finally, you will be introduced to the world of deep learning with OpenCV and also with some deep learning Python libraries (TensorFlow and Keras).

The following chapters will be covered in this section:

Chapter 10, Machine Learning with OpenCV
Chapter 11, Face Detection, Tracking, and Recognition
Chapter 12, Introduction to Deep Learning

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Author (1)

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.
Read more about Alberto Fernández Villán

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