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)
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Frame differencing

Frame differencing is one of the simplest techniques that can be used to identify the moving parts in a video. Intuitively, in most applications this is where the fun part exists. If we have a video of a runner, we probably want to analyze the runner as they run and not the background images. When we watch a movie, we focus mostly on the characters in the forefront while they talk and do things. We don't tend to focus on the boring picture frames in the background.

Occasionally, you get the one-off geek that finds a problem in a movie hidden in this background, as we saw a couple of times in recent episodes of Game of Thrones when people found a cup of Starbucks in the background, but this is the exception rather than the rule.

When we are looking at a live video stream, the differences between consecutive frames captured from the stream gives us a lot of information. Let's see how we can take the differences between consecutive frames and display...