import cv2,sys
import numpy,os
import MySQLdb


con = MySQLdb.connect('localhost', 'root', 'equiped')
con.select_db('equipeD')

cursor = con.cursor()

haar_file = 'haarcascade_frontalface_default.xml'
datasets = 'datasets'  

nomedigitado = raw_input("Digite o nome: ")
cpfdigitado = raw_input("Digite seu CPF: ")

cursor.execute("INSERT INTO dadosuser VALUES (0, %s, %s, %s)", [nomedigitado, cpfdigitado, nomedigitado])

con.commit()
sub_data = nomedigitado     


path = os.path.join(datasets, sub_data)
if not os.path.isdir(path):
    os.mkdir(path)
(width, height) = (130, 100)    

face_cascade = cv2.CascadeClassifier(haar_file)
webcam = cv2.VideoCapture(0) 

contagem = 1
while contagem <=10: 
    (_, im) = webcam.read()
    gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 4)
    for (x,y,w,h) in faces:
        cv2.rectangle(im,(x,y),(x+w,y+h),(255,0,0),2)
        face = gray[y:y + h, x:x + w]
        face_resize = cv2.resize(face, (width, height))
        cv2.imwrite('%s/%s.png' % (path,count), face_resize)
    count += 1
	
    cv2.imshow('OpenCV', im)
    key = cv2.waitKey(10)
    if key == 27:
        break