cam_test.py

import face_recognition
import os
from numpy import load
import time
import picamera

with picamera.PiCamera() as camera:
    camera.resolution = (1024, 768)
    camera.start_preview()
    # Camera warm-up time
    time.sleep(4)
    camera.capture('foo.jpg')
# Load the images into numpy arrays
authorized_encodings=load('embeddings.npy', allow_pickle=True)
unknown_images =face_recognition.load_image_file('foo.jpg')

# 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(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))