dataset_creator.py

import cv2
import numpy as np
import sqlite3

faceDetect=cv2.CascadeClassifier('haarcascade/haarcascade_frontalface_default.xml');
cam=cv2.VideoCapture(0);

def insertOrUpdate(Id,Name,Age,Gen):
    conn=sqlite3.connect("FaceBase.db")
    cmd="SELECT * FROM Peoples WHERE ID="+str(Id)
    cursor=conn.execute(cmd)
    isRecordExist=0
    for row in cursor:
        isRecordExist=1
    if(isRecordExist==1):
        # cmd="UPDATE Peoples SET Name="+str(Name)+"WHERE id="+str(Id)
        conn.execute("UPDATE Peoples SET Name=? WHERE id=?", (Name,Id,))
        conn.execute("UPDATE Peoples SET Age=? WHERE id=?",(Age, Id))
        conn.execute("UPDATE Peoples SET Gender=? WHERE id=?", (Gen,Id,))
    else:
        # cmd="INSERT INTO Peoples(id,Name,Age,Gender) Values("+str(Id)+","+str(Name)+","+str(Age)+","+str(Gen)+")"
        conn.execute("INSERT INTO Peoples(id,Name,Age,Gender) Values(?,?,?,?)", (Id, Name, Age, Gen))
        # cmd2=""
        # cmd3=""
    conn.commit()
    conn.close()

Id=input('Enter User Id:')
name=input('Enter User Name:')
age=input('Enter User Age:')
gen=input('Enter User Gender:')
insertOrUpdate(Id,name,age,gen)
sampleNum=0
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:
        sampleNum=sampleNum+1;
        cv2.imwrite("dataSet/User."+str(Id)+"."+str(sampleNum)+".jpg",gray[y:y+h,x:x+w])
        cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
        cv2.waitKey(100);
    cv2.imshow("Face",img);
    cv2.waitKey(1);
    if(sampleNum>20):
        break;
cam.release()
cv2.destroyAllWindows()