A tiny library to make the face landmarks detection easier.
Project description
Facelooker
Description
The Facelooker is a tiny Python library to provide some utilities for facial recognition and movement detection.
The main idea is to have a single instance of Facelooker class that runs the device camera and process all the
events automatically during the face recognition with OpenCV. All the movements and current pose are returned
in a single payload as a simple dictionary. This info can be consumed by any external consumer.
How to Use
from facelooker import Facelooker
from facelooker.strategy import DlibStrategy
PREDICTOR_PATH = "data/shape_predictor_68_face_landmarks.dat"
strategy = DlibStrategy(PREDICTOR_PATH)
facelooker = Facelooker(strategy, show_interface=True, show_debug_text=True)
facelooker.start() # Starts in a separated thread.
To load a predictor in DlibStrategy, you can download the file here. The facial recognition strategies are "under construction".
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