Python Robotics Projects

Recognizing the face

Now that we have learned how to make our system learn, it's time to use that learned data and recognize the face. So without much talking, let's go ahead and understand how this would be done:

import numpy as npimport cv2faceDetect = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')cam = cv2.VideoCapture(0)rec = cv2.face.LBPHFaceRecognizer_create()rec.read("recognizer/trainningData.yml")id = 0font = cv2.FONT_HERSHEY_SIMPLEXwhile 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), (0,0,255), 2)       id, conf = rec.predict(gray[y:y+h, x:x+w])       if id==1:           id = "BEN" cv2.putText(img, str(id), ...