Face Detection in Static Images with Python

face_detect.py

#!/usr/bin/env python

"""
Origin: http://creatingwithcode.com/howto/face-detection-in-static-images-with-python/

Patched for Ubuntu 11.04 (the location of the XML file is different).

Installation:
sudo apt-get install python-opencv libcv-dev opencv-doc
"""

# face_detect.py

# Face Detection using OpenCV. Based on sample code from:
# http://python.pastebin.com/m76db1d6b

# Usage: python face_detect.py <image_file>

import sys, os
from opencv.cv import *
from opencv.highgui import *

def detectObjects(image):
  """Converts an image to grayscale and prints the locations of any
     faces found"""
  grayscale = cvCreateImage(cvSize(image.width, image.height), 8, 1)
  cvCvtColor(image, grayscale, CV_BGR2GRAY)

  storage = cvCreateMemStorage(0)
  cvClearMemStorage(storage)
  cvEqualizeHist(grayscale, grayscale)
  cascade = cvLoadHaarClassifierCascade(
    '/usr/share/doc/opencv-doc/examples/haarcascades/haarcascades/haarcascade_frontalface_default.xml.gz',
    cvSize(1,1))
  faces = cvHaarDetectObjects(grayscale, cascade, storage, 1.2, 2,
                             CV_HAAR_DO_CANNY_PRUNING, cvSize(50,50))

  if faces:
    for f in faces:
      print("[(%d,%d) -> (%d,%d)]" % (f.x, f.y, f.x+f.width, f.y+f.height))

def main():
  image = cvLoadImage(sys.argv[1]);
  detectObjects(image)

if __name__ == "__main__":
  main()