FaceEngine is a lightweight python library that provides an easy interface to work with face recognition tasks.
>>> from face_engine import FaceEngine >>> engine = FaceEngine() >>> engine.fit(['bubbles1.jpg', 'drive.jpg'], [1, 2]) >>> engine.make_prediction('bubbles2.jpg') ([(270, 75, 406, 211)], )
It is distributed on PyPi, and can be installed with pip:
$ pip install face-engine
FaceEngine is supported only on Python 3.6 and above.
FaceEngine is built on top of three model interfaces
Estimator (see models), and leans on user provided implementations
of these models.
Installation provides optional dlib models.
FaceEngine installation is not installing dlib by default.
To install it, either run
pip install dlib (requires cmake) or
follow build instructions.
Dlib models implementations are used to show how to work with FaceEngine. Questions and issues according to these models accuracy and performance please address to dlib.
For more information read the full documentation.