import cv2
import face_recognition
imgGates = face_recognition.load_image_file('ImagesBasic/Satyam Jha.jpg')
imgGates = cv2.cvtColor(imgGates, cv2.COLOR_BGR2RGB)
imgTest = face_recognition.load_image_file('ImagesBasic/Bill-Gates-test2.jpeg')
imgTest = cv2.cvtColor(imgTest, cv2.COLOR_BGR2RGB)

faceLoc=face_recognition.face_locations(imgGates)[0]
encodeGates=face_recognition.face_encodings(imgGates)[0]
cv2.rectangle(imgGates,(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,(faceLocTest[3],faceLocTest[0]),(faceLocTest[1],faceLocTest[2]),(255,0,255),2)

results=face_recognition.compare_faces([encodeGates],encodeTest)
faceDis=face_recognition.face_distance([encodeGates],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('Bill Gates', imgGates)
cv2.imshow('Gates test', imgTest)
cv2.waitKey(0)