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Machine Learning for OpenCV 4

Machine Learning for OpenCV 4 - Second Edition

By : Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali , Michael Beyeler
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Machine Learning for OpenCV 4

Machine Learning for OpenCV 4

By: Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali , Michael Beyeler

Overview of this book

OpenCV is an opensource library for building computer vision apps. The latest release, OpenCV 4, offers a plethora of features and platform improvements that are covered comprehensively in this up-to-date second edition. You'll start by understanding the new features and setting up OpenCV 4 to build your computer vision applications. You will explore the fundamentals of machine learning and even learn to design different algorithms that can be used for image processing. Gradually, the book will take you through supervised and unsupervised machine learning. You will gain hands-on experience using scikit-learn in Python for a variety of machine learning applications. Later chapters will focus on different machine learning algorithms, such as a decision tree, support vector machines (SVM), and Bayesian learning, and how they can be used for object detection computer vision operations. You will then delve into deep learning and ensemble learning, and discover their real-world applications, such as handwritten digit classification and gesture recognition. Finally, you’ll get to grips with the latest Intel OpenVINO for building an image processing system. By the end of this book, you will have developed the skills you need to use machine learning for building intelligent computer vision applications with OpenCV 4.
Table of Contents (18 chapters)
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Section 1: Fundamentals of Machine Learning and OpenCV
6
Section 2: Operations with OpenCV
11
Section 3: Advanced Machine Learning with OpenCV

Using classification models to predict class labels

With these tools in hand, we can now take on our first real classification example.

Consider the small town of Randomville, where people are crazy about their two sports teams, the Randomville Reds and the Randomville Blues. The Reds had been around for a long time, and people loved them. But then, some out-of-town millionaire came along and bought the Reds' top scorer and started a new team, the Blues. To the discontent of most Reds fans, the top scorer would go on to win the championship title with the Blues. Years later, he would return to the Reds, despite some backlash from fans who could never forgive him for his earlier career choices. But anyway, you can see why fans of the Reds don't necessarily get along with fans of the Blues. In fact, these two fan bases are so divided that they never even live next to each...

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Machine Learning for OpenCV 4
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