gistfile1.py

from SimpleCV import *
import cv2


img1 = cv2.imread('lenna.png')
haarClassify = cv2.CascadeClassifier('face.xml')
gray = cv2.cvtColor(img1,cv2.cv.CV_BGR2GRAY)
objects = haarClassify.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=3, minSize=(10, 10), flags = cv.CV_HAAR_SCALE_IMAGE)

print 'Opencv Output:'
print objects
print 'Coordinates of the center of the box'
print [objects[0][0]+objects[0][2]/2,objects[0][1]+objects[0][3]/2,objects[0][2],objects[0][3]]

img2 = Image('lenna.png')
h = HaarCascade('face.xml')
objects2 = img2.findHaarFeatures(h)
print 'SimpleCV output'
print objects2.coordinates(),objects2.width(),objects2.height()

Results.txt

Opencv Output:
[[217 201 174 174]]
Coordinates of the center of the box
[304, 288, 174, 174]

SimpleCV output
[[302 288]] [175] [175]