face-utils 0.1.0

opensource wrapper library for face detection algorithms and other utilities

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