Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
24
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25
Index

Image Recognition

In this chapter, we are going to learn about object detection and tracking. First, we will spend some time understanding why image recognition is important for machine learning. We will then learn about an image recognition package called OpenCV, which is a popular library for computer vision. We will also learn how to install OpenCV and discuss frame differencing to see how we can detect the moving parts in a video. We will learn how to track objects using color spaces, and how to use background subtraction to track objects. After that we will build an interactive object tracker using the CAMShift algorithm and learn how to build an optical flow-based tracker. We will discuss face detection and associated concepts such as Haar cascades and integral images. We will then use this technique to build an eye detector and tracker.

By the end of this chapter, you will know about:

  • Installing OpenCV
  • Frame differencing
  • Tracking objects using color spaces...