Recognize and manipulate faces from Python or from the command line with the world’s simplest face recognition library.
Built using dlib‘s state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
This also provides a simple face_recognition
command line tool that lets you do face recognition on a folder of images from the command line!
Features
import face_recognition
image = face_recognition.load_image_file("your_file.jpg")
face_locations = face_recognition.face_locations(image)
Find And Manipulate Facial Features In Pictures
Get the locations and outlines of each person’s eyes, nose, mouth and chin.
import face_recognition
image = face_recognition.load_image_file("your_file.jpg")
face_landmarks_list = face_recognition.face_landmarks(image)
For more information click here.