Scripts will automatically detect frontal faces and skip images if
none is detected.
Supported on Python 2.7, Python 3.6+ and OpenCV >= 3 (tested with OpenCV 3.4.1)
Use as local command-line utility
$ git clone https://github.com/alyssaq/face_morpher
Morphing Faces
Morph from a source to destination image:
python facemorpher/morpher.py --src=<src_imgpath> --dest=<dest_imgpath> --plot
Morph through a series of images in a folder:
python facemorpher/morpher.py --images=<folder> --out_video=out.avi
All options listed in
morpher.py
(pasted below):
Morph from source to destination face or
Morph through all images in a folder
Usage:
morpher.py (--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>]
[--plot] [--background=(black|transparent|average)]
Options:
-h, --help Show this screen.
--src=<src_imgpath> Filepath to source image (.jpg, .jpeg, .png)
--dest=<dest_imgpath> 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
--plot Flag to plot images [default: False]
--background=<bg> Background of images to be one of (black|transparent|average) [default: black]
--version Show version.
Averaging Faces
Average faces from all images in a folder:
python facemorpher/averager.py --images=<images_folder> --out=average.png
All options listed in
averager.py
(pasted below):
Face averager
Usage:
averager.py --images=<images_folder> [--blur] [--plot]
[--background=(black|transparent|average)]
[--width=<width>] [--height=<height>]
[--out=<filename>] [--destimg=<filename>]
Options:
-h, --help Show this screen.
--images=<folder> Folder to images (.jpg, .jpeg, .png)
--blur Flag to blur edges of image [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]
--destimg=<filename> Destination face image to overlay average face
--plot Flag to display the average face [default: False]
--background=<bg> Background of image to be one of (black|transparent|average) [default: black]
--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
Blender
Optional blending of warped image:
Weighted average
Alpha feathering
Poisson blend
Create a morphing video between the 2 images:
> python facemorpher/morpher.py
--src=alyssa.jpg
--dest=john_malkovich.jpg
--out_video=out.avi
(out.avi played and recorded as gif)
Save the frames to a folder:
> python facemorpher/morpher.py
--src=alyssa.jpg
--dest=john_malkovich.jpg
--out_frames=out_folder
--num=30
Plot the frames:
> python facemorpher/morpher.py
--src=alyssa.jpg
--dest=john_malkovich.jpg
--num=12
--plot
85 images used
> python facemorpher/averager.py
--images=images
--blur
--background=transparent
--width=220
--height=250
# 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)
Once pip installed, 2 binaries are also available as a command line utility:
$ facemorpher --src=<src_imgpath> --dest=<dest_imgpath> --plot
$ faceaverager --images=<images_folder> --plot
Try out in a docker container
Mount local folder to
/images
in docker container, run it and enter a bash session.
–rm removes the container when you close it.
$ docker run -v /Users/alyssa/Desktop/images:/images --name py3 --rm -it jjanzic/docker-python3-opencv bash
Once you’re in the container, install
facemorpher
and try the examples listed above
root@0dad0912ebbe:/# pip install facemorpher
root@0dad0912ebbe:/# facemorpher --src=<img1> --dest=<img2> --plot
Details
Face points are detected with stasm. This library relies on the
python wrapper around stasm
.
Documentation
http://alyssaq.github.io/face_morpher
Build & publish Docs
./scripts/publish_ghpages.sh
License
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