faceAuthentication.py

import cv2
import numpy as np

faceDetect = cv2.CascadeClassifier("C:/Users/Cezeri_NPC/Desktop/opencv/haarcascades/haarcascade_frontalface_default.xml")

cam = cv2.VideoCapture(0)
rec = cv2.face.LBPHFaceRecognizer_create()
rec.read("C:/Users/Cezeri_NPC/Desktop/opencv/arda.yml")
id=0
font = cv2.FONT_HERSHEY_SIMPLEX

while(True):
    ret, img = cam.read()
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces = faceDetect.detectMultiScale(gray,1.3,5)
    for (x,y,w,h) in faces:
        cv2.rectangle(img, (x,y), (x+w,y+h),(255,0,0),2)
        id, conf = rec.predict(gray[y:y+h,x:x+w])
        if(id==1):
            id="almla"
        elif(id==2):
            id="semih"
        elif(id==3):
            id="yusuf"
        elif(id==4):
            id="zeynep"
        elif(id==5):
            id="arda"
        else:
            id="bulunamadı"


        cv2.putText(img, str(id), (x,y+h), font, 1, (255, 0, 0), 2, cv2.LINE_AA)
    cv2.imshow("Face",img)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cam.release()
cv2.destroyAllWindows()