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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

Running extract on frame images

To run the extract process on a video, you can run the extract program from the cloned git repository folder. To do this, simply run the following in an Anaconda prompt:

cd {Folder of the downloaded git repo}\
python C5-face_detection.py {Folder of frame images}

This will run the face extraction process on each of the images in the folder and put the extracted images into the face_images folder, which (by default) will be inside the folder of frame images. This folder will contain three types of files for each face detected, along with a file containing all alignments.

face_alignments.json

There will just be one of these files. It is a JSON-formatted file containing the landmark positions and warp matrix for every face found in the images. This file is human-readable like any JSON file and can be read or edited (though it’s probably not something that you’d do manually).

face_landmarks_{filename}_{face number}.png

This...

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