# faceswap-playground

**Repository Path**: codcat/faceswap-playground

## Basic Information

- **Project Name**: faceswap-playground
- **Description**: User dedicated repo for the faceswap project
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-02-18
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# faceswap-playground

This repo has been opened for users playing with the project. 

Sadly the project is not yet ready to use for non technical people, it will improve over time, so check for updates regularly and discuss with other. 

## What can you do here?
 - Discuss here about your experience of the project
 - Help people having trouble running it
 - Add guidelines and help for newcomers

**If you are a more experienced user** you can help by proposing solutions for a better user-experience. Ideally, the goal is to get to a release that can be used to non technical people.

## Quick start
Get the code from the main 'faceswap' repo and set it up (setup section below)

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 mode
 
 Read the full instructions at https://github.com/deepfakes/faceswap/blob/master/USAGE.md

### Extract
Run `python faceswap.py extract -h`.

### Train
Run `python faceswap.py train -h`.

### Convert
Run `python faceswap.py convert -h`.

## Setup

Follow the directions at https://github.com/deepfakes/faceswap/blob/master/INSTALL.md

**Main Requirements:**
    Python 3.6
    Opencv
    Tensorflow
    Keras

You also need an Nvidia GPU with CUDA support for best performance.  Minimum is 4gb of Vram.