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faceswap_gl's Introduction

faceswap_gl

Face swap using Python + OpenGL

Demo gif

This implementation finds facial landmarks on both the source and destination images, and generates a texture to be used on a 3D model of the face. This Model is then positioned over the destination image using the landmarks.

Source Destination Texture 3D face Result
Source image Destination image Texture generated from source image Texture applied to 3D model positioned according to the face on the destination image Face swap result

Installation

Clone the repo

git clone https://github.com/ibonn/faceswap_gl.git

Install required modules

cd faceswap_gl/
pip install -r requirements.txt

Usage

Basic usage

python swap.py -s <SRC_PATH> -d <DST_PATH> -o <OUT_PATH>

More options:

  • -s/--src: Path to the source image
  • -d/--dst: Path to the destination image/video
  • -o/--output: Output path
  • -t/--texture: Size of the texture. The lower the value the faster the program starts (but the source face resolution is lower). Defaults to 256px
  • -b/--border: Padding size. Not implemented yet
  • -m/--mask: Output a video with the mask

Example:

python swap.py -s tomhanks.jpg -d dicaprio.mp4 -o out.mp4 -t 1024

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