basic.py

import face_recognition
import cv2
import numpy as np
imgElon = face_recognition.load_image_file('ImagesBasic/mark.jpg')
imgElon = cv2.cvtColor(imgElon,cv2.COLOR_BGR2RGB)
imgTest = face_recognition.load_image_file('ImagesBasic/mark 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) # top, right, bottom, left
faceLocTest = face_recognition.face_locations(imgTest)[0]
encodeTest = face_recognition.face_encodings(imgTest)[0]
cv2.rectangle(imgTest,(faceLocTest[3],faceLocTest[0]),(faceLocTest[1],faceLocTest[2]),(255,0,255),2)
results = face_recognition.compare_faces([encodeElon], encodeTest)
faceDis = face_recognition.face_distance([encodeElon], encodeTest)
cv2.putText(imgTest,f'{results} {round(faceDis[0],2)} ',(50,50),cv2.FONT_HERSHEY_COMPLEX,1,(0,0,255),3)
print(results,faceDis)
cv2.imshow('mark.jpg',imgElon)
cv2.imshow('mark Test.jpg',imgTest)
cv2.waitKey(0)