pywarping 0.2

Automated face warping tool

PyWarping

Python module for face feature changing

Installation

pip install pywarping

If you get an error: No such file or directory: 'cmake': 'cmake', you need to make sure cmake is installed. If you're on OSX you can install this via Homebrew with:

brew install cmake

For other platforms please consult the Cmake documentation at https://cmake.org/install/

Usage

For each face in an image define what actions are to be performed on it, pywarping will do the rest. Check out the docs here.

Minimal Example

import matplotlib.pyplot as plt

from pywarping.actions import Chubby, Multiple, Pipeline, Smile
from pywarping.detect import LandmarkFace

img_path = 'path/to/your/image'
img = plt.imread(img_path)

lf = LandmarkFace.estimate(img)

a_per_face = Pipeline([Chubby(), Smile()])
a_all = Multiple(a_per_face)

new_lf, _ = a_all.perform(lf)
new_lf.plot(show_landmarks=False, show_numbers=False)

CLI

pywarping also comes with a CLI that exposes some of its functionality. You can list the commands with pw --help:

Usage: pw [OPTIONS] COMMAND [ARGS]...

  Automated face warping tool.

Options:
  --help  Show this message and exit.

Commands:
  list     List available actions.
  perform  Take an action.

To perform an action (Smile in the example below) and plot the result on the screen

pw perform Smile INPUT_IMG_PATH

or if you want to create a new image and save it

pw perform Smile INPUT_IMG_PATH OUTPUT_IMG_PATH

Notes

By default we are using a pretrained landmark model from https://github.com/davisking/dlib-models.

License

This Project Has Been MIT Licensed