face-utils

face utils

this is an opensource wrapper library for the most common face detection models.

It also provides multiple face utilities such as face cropping.

Supported detection models

• face_recognition (hog and cnn)
• retina face model
• haar cascade face detection

more to be added in the next releases

Installation

OS X & Linux using PIP :

pip install face-utils

Features

Face Detection

By creating an object of the face detection model you want you can use it to detect the faces in images.
I have also implemented outputs forms such as 1 : (x,y,w,h) and 2 : (top,right,bottom,left )

Face cropping

ability to crop the face from the image given the detector result
You can also zoom in and out from the face.

Example

import cv2
from face_utils.detection import Detector
from face_utils.cropping import cropping
imgPath = "files/Obama.jpg"
img = cv2.imread(imgPath)
img= np.array(img)
model = Detector("hog")
bbox = model.detect(img,2) #using (x,y,w,h) return mode
face = cropping.crop(img,bbox,1,80,80)

input :

output :

TODO::

• add images loading function (opencv and PIL)
• add multiple faces detection for retina face model
• add x1,y1,x2,y2 for detection module
• add encoding feature
• add shape drawing around faces
• add test scripts

Release History

• 0.1.0
  • three detection models with one simple cropping module

License

MIT

COPYRIGHT

© Digified 2021