detector.py

import cv2
import numpy as np
import os
import sqlite3

facedetect = cv2.CascadeClassifier("haarcascade//haarcascade_frontalface_default.xml")
cam = cv2.VideoCapture(0)
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read("recognizer/trainingdata.yml")
# id = 0
# font = cv2.cv.InitFont(cv2.cv.CV_FONT_HERSHEY_COMPLEX_SMALL,1,1,0,1)

def getProfile(id):
    conn=sqlite3.connect("FaceBase.db")
    # cmd="SELECT * FROM Peoples WHERE ID="+str(id)
    cursor=conn.execute("SELECT * FROM Peoples WHERE id=?", (id,))
    profile=None
    for row in cursor:
        profile=row
    conn.close()
    return profile


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),(0,255,0),2)
        id,conf=recognizer.predict(gray[y:y+h,x:x+w])
        profile=getProfile(id)
        print(profile)
        if(profile != None):
            cv2.putText(img, "Name : "+str(profile[1]), (x,y+h+20),cv2.FONT_HERSHEY_COMPLEX, 1,(0,255,127),2)
            cv2.putText(img, "Age : "+str(profile[2]), (x,y+h+45),cv2.FONT_HERSHEY_COMPLEX, 1,(0,255,127),2)
            cv2.putText(img, "Gender : "+str(profile[3]), (x,y+h+70),cv2.FONT_HERSHEY_COMPLEX, 1,(0,255,127),2)
            # cv2.putText(img, output_text, (50,50),cv2.FONT_HERSHEY_COMPLEX, 1,(0,255,127),2)

    cv2.imshow("Face",img);
    if(cv2.waitKey(1)==ord('q')):
        break;

cam.release()
cv2.destroyAllWindows()