import cv2
import numpy as np
import face_recognition
imgElon = face_recognition.load_image_file('elon1.png')
imgTest = face_recognition.load_image_file('surprised_man.jpg')
imgTest = cv2.cvtColor(imgTest,cv2.COLOR_BGR2RGB)
imgElon = cv2.cvtColor(imgElon,cv2.COLOR_BGR2RGB)
faceLoc = face_recognition.face_locations(imgElon)[0]
encodeElon = face_recognition.face_encodings(imgElon)[0]
cv2.rectangle(imgElon,(faceLoc[1],faceLoc[2]),(faceLoc[3],faceLoc[0]),(255,0,255),2)
print(faceLoc)
faceLocTest = face_recognition.face_locations(imgTest)[0]
encodeTest = face_recognition.face_encodings(imgTest)[0]
cv2.rectangle(imgTest,(faceLocTest[1],faceLocTest[2]),(faceLocTest[3],faceLocTest[0]),(255,0,255),2)
results = face_recognition.compare_faces([encodeElon], encodeTest)
faceDis = face_recognition.face_distance([encodeElon], encodeTest)
print(results, faceDis)
cv2.putText(imgTest, f'{results} {round(faceDis[0],2)}', (50,50), cv2.FONT_HERSHEY_COMPLEX,1,
(0,0,255),1)
cv2.imshow('imtest',imgTest)
cv2.imshow('imelon',imgElon)
cv2.waitKey(0)