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This is the code behind the Switching Eds blog post: http://matthewearl.github.io/2015/07/28/switching-eds-with-python/ See the above for an explanation of the code below. To run the script you'll need to install dlib (http://dlib.net) including its Python bindings, and OpenCV. You'll also need to obtain the trained model from sourceforge: http://sourceforge.net/projects/dclib/files/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2 Unzip with `bunzip2` and change `PREDICTOR_PATH` to refer to this file. The script is run like so: ./faceswap.py <head image> <face image> If successful, a file `output.jpg` will be produced with the facial features from `<head image>` replaced with the facial features from `<face image>`.

Python 100.00%

faceswap-1's Introduction

FaceSwap

This is the code behind the Switching Eds blog post: http://matthewearl.github.io/2015/07/28/switching-eds-with-python/ See the above for an explanation of the code below. To run the script you'll need to install dlib (http://dlib.net) including its Python bindings, and OpenCV. You'll also need to obtain the trained model from sourceforge: http://sourceforge.net/projects/dclib/files/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2 Unzip with bunzip2 and change PREDICTOR_PATH to refer to this file. The script is run like so: ./faceswap.py <head image> <face image> If successful, a file output.jpg will be produced with the facial features from &lt;head image> replaced with the facial features from &lt;face image>.

faceswap-1's People

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