import face_recognition import numpy as np from PIL import Image, ImageDraw from IPython.display import display # This is an example of running face recognition on a single image # and drawing a box around each person that was identified. # Load a sample picture and learn how to recognize it. obama_image = face_recognition.load_image_file("obama.jpg") obama_face_encoding = face_recognition.face_encodings(obama_image)[0] # Load a second sample picture and learn how to recognize it. biden_image = face_recognition.load_image_file("biden.jpg") biden_face_encoding = face_recognition.face_encodings(biden_image)[0] # Create arrays of known face encodings and their names known_face_encodings = [ obama_face_encoding, biden_face_encoding ] known_face_names = [ "Barack Obama", "Joe Biden" ] print('Learned encoding for', len(known_face_encodings), 'images.')