The code here is a rework of deepfakes' faceswap project.

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Important Notice this is a NON-OFFICIAL repo! It is maintained by actively involved fan of the project.

If you want to know more about github.com/deepfakes, please look at the section at the end of the file

deepfakes_faceswap

You'll find here the code for the project. The original code is in the first commits of the master. Follow new features here: https://github.com/deepfakes/faceswap/projects/1

How to contribute

For people interested in the generative models

• Go to the 'faceswap-model' to discuss/suggest/commit alternatives to the current algorithm.

For devs

• Read this README entirely
• Fork the repo
• Download the data with the link provided below
• Play with it
• Check issues with the 'dev' tag
• For devs more interested in computer vision and openCV, look at issues with the 'opencv' tag. Also feel free to add your own alternatives/improvments

For non-dev advanced users

• Read this README entirely
• Clone the repo
• Download the data with the link provided below
• Play with it
• Check issues with the 'advuser' tag
• Also go to the 'faceswap-playground' repo and help others.

For end-users

• Get the code here and play with it if you can
• You can also go to the 'faceswap-playground' repo and help or get help from others.
• Notice Any issue related to running the code has to be open in the 'faceswap-playground' project!

For haters

Sorry no time for that

Overview

The project has multiple entry points. You will have to:

• Gather photos (or use the one provided in the training data provided below)
• Extract faces from your raw photos
• Train a model on your photos (or use the one provided in the training data provided below)
• Convert your sources with the model

Extract

From your setup folder, run python extract.py. This will take photos from src folder and extract faces into extract folder.

Train

From your setup folder, run python train.py. This will take photos from data/trump and data/cage folder and train a model that will be saved inside the models folder.

Convert

From your setup folder, run python convert_photo.py. This will take photos from original folder and apply new faces into modified folder.

Note: there is no conversion for video yet. You can use MJPG to convert video into photos,, process images, and convert images back to video

Training Data

Whole project with training images and trained model (~300MB):
https://anonfile.com/p7w3m0d5be/face-swap.zip or click here to download

How To setup and run the project

Setup

Clone the repo and setup you environment. There is a Dockerfile that should kickstart you. Otherwise you can setup things manually, see in the Dockerfiles for dependencies

Main Requirements: Python 3 Opencv 3 Tensorflow 1.3+(?) Keras 2

You also need a modern GPU with CUDA support for best performance

Some tips:

Reuse existing models will train much faster than start from nothing.
If there are not enough training data, start with someone looks similar, then switch the data.

Docker

If you prefer using Docker, You can start the project with:

• Build: docker build -t deepfakes .
• Run: docker run --rm --name deepfakes -v [src_folder]:/srv -it deepfakes bash . bash can be replaced by your command line Note that the Dockerfile does not have all good requirments, so it will fail on some python 3 commands. Also note that it does not have a GUI output, so the train.py will fail on showing image. You can comment this, or save it as a file.

About github.com/deepfakes

What is this repo?

It is a fan-made repo for active users.

Why this repo?

The joshua-wu repo seems not active. Simple bugs like missing http:// in front of url has not been solved since days.

Why is it named 'deepfakes' if it is not /u/deepfakes?

1. Because a typosquat would have happened sooner or later as project grows
2. Because all glory go to /u/deepfakes
3. Because it will better federate contributors and users

What if /u/deepfakes feels bad about that?

This is a friendly typosquat, and it is fully dedicated to the project. If /u/deepfakes wants to take over this repo/user and drive the project, he is welcomed to do so (Raise an issue, and he will be contacted on Reddit).