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Exploring Deepfakes

You're reading from   Exploring Deepfakes Deploy powerful AI techniques for face replacement and more with this comprehensive guide

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781801810692
Length 192 pages
Edition 1st Edition
Languages
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Authors (2):
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Matt Tora Matt Tora
Author Profile Icon Matt Tora
Matt Tora
Bryan Lyon Bryan Lyon
Author Profile Icon Bryan Lyon
Bryan Lyon
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Understanding Deepfakes
2. Chapter 1: Surveying Deepfakes FREE CHAPTER 3. Chapter 2: Examining Deepfake Ethics and Dangers 4. Chapter 3: Acquiring and Processing Data 5. Chapter 4: The Deepfake Workflow 6. Part 2: Getting Hands-On with the Deepfake Process
7. Chapter 5: Extracting Faces 8. Chapter 6: Training a Deepfake Model 9. Chapter 7: Swapping the Face Back into the Video 10. Part 3: Where to Now?
11. Chapter 8: Applying the Lessons of Deepfakes 12. Chapter 9: The Future of Generative AI 13. Index 14. Other Books You May Enjoy

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...

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