Book Image

Exploring Deepfakes

By : Bryan Lyon, Matt Tora
Book Image

Exploring Deepfakes

By: Bryan Lyon, Matt Tora

Overview of this book

Applying Deepfakes will allow you to tackle a wide range of scenarios creatively. Learning from experienced authors will help you to intuitively understand what is going on inside the model. You’ll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap. We’ll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful. No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We’ll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking. By the end of the book, you’ll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs.
Table of Contents (15 chapters)
1
Part 1: Understanding Deepfakes
6
Part 2: Getting Hands-On with the Deepfake Process
10
Part 3: Where to Now?

Applying a trained model to perform a swap

Once the model has completed training, it can be used to swap the faces on any video to that contains the individual that is to be swapped out. Three items are required to successfully perform a swap – a video/series of images, a trained model, and an alignments file for the media that is to be converted. The first two items are self-explanatory; the alignments file is the one item we need to create.

The alignments file

The alignments file is a file bespoke to Faceswap, with a .fsa extension. This file should exist for every media source that is to be converted. It contains information about the location of faces within a video file, the alignment information (how the faces are orientated within each frame), as well as any associated masks for each frame.

Generating an alignments file is fairly trivial. In fact, at least one has been generated already when we built a training set. The process for generating training data and...