import cv2

import sys


# Get user supplied values

#imagePath = sys.argv[1]   #image path as part of the argument

#cascPath = sys.argv[2]


# Create the haar cascade

faceCascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")



# Read the image


image = cv2.imread("sample2.jpg")

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)	#change to grayscale



# Detect faces in the image

faces = faceCascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=5,
minSize=(30, 30),
flags = cv2.cv.CV_HAAR_SCALE_IMAGE
)


print "Found {0} faces!".format(len(faces))



# Draw a rectangle around the faces detected

for (x, y, w, h) in faces:
    
	cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)



cv2.imshow("Faces found", image)
cv2.waitKey(0)
