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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

Preparing the training images

In this section, we will be collecting, extracting, and curating the images to train our model. Far and away the best sources for collecting face data are video files. Videos are just a series of still images, but as you can obtain 25 still images for every second of video in a standard 25 FPS file, they are a valuable and plentiful resource. Video is also likely to contain a lot more natural and varied poses than photographs, which tend to be posed and contain limited expressions.

Video sources should be of a high quality. The absolute best source of data is HD content encoded at a high bitrate. You should be wary of video content acquired from online streaming platforms, as these tend to be of a low bitrate, even if the resolution is high. For similar reasons, JPEG images can also be problematic. The neural network will learn to recreate what it sees, and this will include learning compression artifacts from low-bitrate/highly compressed sources....

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