face_recog.py

import cv2
import numpy as np
import face_recognition

imgelon = face_recognition.load_image_file('imagesface_recog/elon musk.jpg')
imgelon = cv2.cvtColor(imgelon,cv2.COLOR_BGR2RGB)
imgtest = face_recognition.load_image_file('imagesface_recog/elon test.jpg')
imgtest = cv2.cvtColor(imgtest,cv2.COLOR_BGR2RGB)

faceLoc = face_recognition.face_locations(imgelon)[0]
encodeelon = 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]
encodeTest = face_recognition.face_encodings(imgtest)[0]
cv2.rectangle(imgtest,(faceLoc[3],faceLoc[0]),(faceLoc[1],faceLoc[2]),(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),2)


cv2.imshow('elon musk',imgelon)
cv2.imshow('bill gates',imgtest)
cv2.waitKey(0)