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Warp, morph and average human faces!

Project description

Warp, average and morph human faces!
Scripts will automatically detect frontal faces and skip images if none is detected.

Built with Python 2.7, OpenCV, Numpy, Scipy, Stasm.


Either use as:

Use as local command-line utility

$ git clone

Morphing Faces

Morph from a source to destination image:

python facemorpher/ --src=<src_imgpath> --dest=<dest_imgpath>

Morph through a series of images in a folder:

python facemorpher/ --images=<folder>

All options listed in (pasted below):

Morph from source to destination face or
Morph through all images in a folder

Usage: (--src=<src_path> --dest=<dest_path> | --images=<folder>)
            [--width=<width>] [--height=<height>]
            [--num=<num_frames>] [--fps=<frames_per_second>]
            [--out_frames=<folder>] [--out_video=<filename>]
            [--alpha] [--plot]

  -h, --help              Show this screen.
  --src=<src_imgpath>     Filepath to source image (.jpg, .jpeg, .png)
  --dest=<dest_path>      Filepath to destination image (.jpg, .jpeg, .png)
  --images=<folder>       Folderpath to images
  --width=<width>         Custom width of the images/video [default: 500]
  --height=<height>       Custom height of the images/video [default: 600]
  --num=<num_frames>      Number of morph frames [default: 20]
  --fps=<fps>             Number frames per second for the video [default: 10]
  --out_frames=<folder>   Folder path to save all image frames
  --out_video=<filename>  Filename to save a video
  --alpha                 Flag to save transparent background [default: False]
  --plot                  Flag to plot images [default: False]
  --version               Show version.

Averaging Faces

Average faces from all images in a folder:

python facemorpher/ --images=<images_folder>

All options listed in (pasted below):

Face averager

Usage: --images=<images_folder> [--blur] [--alpha] [--plot]
            [--width=<width>] [--height=<height>] [--out=<filename>]

  -h, --help         Show this screen.
  --images=<folder>  Folder to images (.jpg, .jpeg, .png)
  --blur             Flag to blur edges of image [default: False]
  --alpha            Flag to save with transparent background [default: False]
  --width=<width>    Custom width of the images/video [default: 500]
  --height=<height>  Custom height of the images/video [default: 600]
  --out=<filename>   Filename to save the average face [default: result.png]
  --plot             Flag to display the average face [default: False]
  --version          Show version.

Steps (facemorpher folder)

1. Locator

  • Locates face points (using stasm)

  • For a different locator, return an array of (x, y) control face points

2. Aligner

  • Align faces by resizing, centering and cropping to given size

3. Warper

  • Given 2 images and its face points, warp one image to the other

  • Triangulates face points

  • Affine transforms each triangle with bilinear interpolation

4a. Morpher

  • Morph between 2 or more images

4b. Averager

  • Average faces from 2 or more images


Optional blending of warped image:

  • Weighted average

  • Alpha feathering

  • Poisson blend

Examples - Being John Malkovich

Create a morphing video between the 2 images:

> python facemorpher/ --src=alyssa.jpg --dest=john_malkovich.jpg

(out.avi played and recorded as gif)


Save the frames to a folder:

> python facemorpher/ --src=alyssa.jpg --dest=john_malkovich.jpg
--out_frames=out_folder --num=30

Plot the frames:

> python facemorpher/ --src=alyssa.jpg --dest=john_malkovich.jpg
--num=12 --plot

Average all face images in a folder:

85 images used

> python facemorpher/ --images=images --blur --alpha
--width=220 --height=250

Use as library

$ pip install facemorpher


Additional options are exactly the same as the command line

import facemorpher

# Get a list of image paths in a folder
imgpaths = facemorpher.list_imgpaths('imagefolder')

# To morph, supply an array of face images:
facemorpher.morpher(imgpaths, plot=True)

# To average, supply an array of face images:
facemorpher.averager(['image1.png', 'image2.png'], plot=True)


  • Data for the haar face classifiers are in the facemorpher/data folder

  • Stasm binary in facemorpher/bin/stasm_util. You can build a new stasm binary with the Stasm 4 build scripts.


Build & publish Docs




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