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Description:

pywarping 0.2

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