main.py

import cv2
import numpy as np
import face_recognition

imgElon = face_recognition.load_image_file("Images/elon.jpg")
imgElon = cv2.cvtColor(imgElon, cv2.COLOR_BGR2RGB)

imgTest = face_recognition.load_image_file("Images/elonTest.jpg")
imgTest = cv2.cvtColor(imgTest, cv2.COLOR_BGR2RGB)

faceLoc = face_recognition.face_locations(imgElon)[0]
faceEncoding = face_recognition.face_encodings(imgElon)[0]
cv2.rectangle(imgElon, (faceLoc[3], faceLoc[0]), (faceLoc[1], faceLoc[2]), (255, 0, 255), 2)

faceLocTest = face_recognition.face_locations(imgTest)[0]
faceEncodingTest = face_recognition.face_encodings(imgTest)[0]
cv2.rectangle(imgTest, (faceLocTest[3], faceLocTest[0]), (faceLocTest[1], faceLocTest[2]), (255, 0, 255), 2)

result = face_recognition.compare_faces([faceEncoding], faceEncodingTest)
faceDis = face_recognition.face_distance([faceEncoding], faceEncodingTest)
print(result, faceDis)
cv2.putText(imgTest, f'{result[0]}, {round(faceDis[0], 2)}', (50, 50), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 255), 2)

cv2.imshow("Elon Musk", imgElon)
cv2.imshow("Elon Musk Test", imgTest)
cv2.waitKey(0)