#!/usr/bin/python

# Import the required modules
import cv2, os
import numpy as np
import mysql.connector
from PIL import Image
import argparse
import time
print cv2. __version__
homeDir = os.environ['HOME']
databaseName = 'FaceDatabase'

cnx = mysql.connector.connect(user='root',
                              password='wojtek123',
                              host='127.0.0.1',
                              database=databaseName)
cursor = cnx.cursor()



cascadePath = "pyt face rec/haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascadePath)
def extract_face():
        image_pil = Image.open(homeDir + image_path).convert('L')
        image = np.array(image_pil, 'uint8')
        faces = faceCascade.detectMultiScale(image)
        for (x, y, w, h) in faces:
            image = image[y: y + h, x: x + w]
            resizedImage = cv2.resize(image, (96, 96))
            im = Image.fromarray(resizedImage)
            newPath = image_path.replace("centered", "cropped")
            im.save(homeDir + newPath)

extract_face();