main.py

import cv2
import face_recognition
import numpy as np

imgElon = face_recognition.load_image_file("ImageBasic/Elon Musk.jpg")
imgElon = cv2.cvtColor(imgElon, cv2.COLOR_BGR2RGB)
imgTest = face_recognition.load_image_file("ImageBasic/Elon Test.jpg")
imgTest = cv2.cvtColor(imgTest, cv2.COLOR_BGR2RGB)

faceLoc = face_recognition.face_locations(imgElon)[0]
faceEncode = face_recognition.face_encodings(imgElon)[0]

cv2.rectangle(imgElon,(faceLoc[3], faceLoc[0]), (faceLoc[1], faceLoc[2]), (255,0,0), 3)

faceLocTest = face_recognition.face_locations(imgTest)[0]
faceEncodeTest = face_recognition.face_encodings(imgTest)[0]

cv2.rectangle(imgTest,(faceLocTest[3], faceLocTest[0]), (faceLocTest[1], faceLocTest[2]), (255,0,0), 3)
result = face_recognition.compare_faces([faceEncode], faceEncodeTest)
faceDis = face_recognition.face_distance([faceEncode], faceEncodeTest)

print(result, faceDis)
cv2.putText(imgTest, f'{result} {round(faceDis[0],2)}', (50,50), cv2.FONT_ITALIC,1, (0,0,255),2)


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