Book Image

Machine Learning for OpenCV

By : Michael Beyeler
Book Image

Machine Learning for OpenCV

By: Michael Beyeler

Overview of this book

Machine learning is no longer just a buzzword, it is all around us: from protecting your email, to automatically tagging friends in pictures, to predicting what movies you like. Computer vision is one of today's most exciting application fields of machine learning, with Deep Learning driving innovative systems such as self-driving cars and Google’s DeepMind. OpenCV lies at the intersection of these topics, providing a comprehensive open-source library for classic as well as state-of-the-art computer vision and machine learning algorithms. In combination with Python Anaconda, you will have access to all the open-source computing libraries you could possibly ask for. Machine learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. Once all the basics are covered, you will start exploring various algorithms such as decision trees, support vector machines, and Bayesian networks, and learn how to combine them with other OpenCV functionality. As the book progresses, so will your machine learning skills, until you are ready to take on today's hottest topic in the field: Deep Learning. By the end of this book, you will be ready to take on your own machine learning problems, either by building on the existing source code or developing your own algorithm from scratch!
Table of Contents (13 chapters)

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...