auth_or_not.py

import face_recognition
import os
from numpy import load

# Load the images into numpy arrays
authorized_encodings=load('embeddings.npy', allow_pickle=True)
unknown_images = [ face_recognition.load_image_file(f'unknown/{img}') for img in os.listdir('unknown/') ]

# Get the face encodings for each face in each image file
# Since there could be more than one face in each image, it returns a list of encodings.

try:
    unknown_encodings = [ face_recognition.face_encodings(image) for image in unknown_images ]
except IndexError:
    print("I wasn't able to locate any faces in at least one of the images. Check the image files. Aborting...")
    quit()
    
# results is an array of True/False telling if the unknown face matched anyone in the known_faces array
results = [ face_recognition.compare_faces(authorized_encodings, unk) for unk in unknown_encodings]
new_res= [ result[i]  for result in results for i in result ]

print("Is the person authorized? {}".format( True in new_res))