import os
import cv2
import sys

def genGood():

    count = 0
    f = open("Good.dat", 'w')
    for i in range(1, 588):
        imagePath = "GirlsFaces/" + str(i) +".jpg"
        faceCascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
        print(imagePath)
        image = cv2.imread(imagePath, 1)
        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

        faces = faceCascade.detectMultiScale(
            gray,
            scaleFactor=1.1,
            minNeighbors=5,
            minSize=(30, 30),
            flags = cv2.CASCADE_SCALE_IMAGE
        )
        print "Found {0} faces! {1}".format(len(faces), imagePath)

        # Draw a rectangle around the faces
        if len(faces) == 1:
            f.write(imagePath + " ")

            f.write(str(len(faces)) + " ")
            for (x, y, w, h) in faces:
                f.write(str(x) +" " + str(y) + " " + str(w) + " " + str(h))
            f.write("\n")
            #cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
            count += 1
            print (count)
        #cv2.imshow("Faces found", image)
        #cv2.waitKey(0)