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import pygame
import Image
from pygame.locals import *
import sys
from opencv import cv as opencv
# Magic class with a method for grabbing images
from opencv import highgui
from opencv import Ipl2PIL
camera = highgui.cvCreateCameraCapture(-1)
cascade = opencv.cvLoadHaarClassifierCascade('haarcascade_hand_fist.xml', opencv.cvSize(1,1))
eye_cascade = opencv.cvLoadHaarClassifierCascade('/usr/local/share/opencv/haarcascades/haarcascade_mcs_mouth.xml', opencv.cvSize(1,1))
def get_image():
im = highgui.cvQueryFrame(camera)
#convert Ipl image to PIL image
return Ipl2PIL(im)
def draw_bounding_boxes(cascade_list, img, r,g,b, width):
if cascade_list:
for rect in cascade_list:
opencv.cvRectangle(img, opencv.cvPoint( int(rect.x), int(rect.y)),
opencv.cvPoint(int(rect.x + rect.width), int(rect.y + rect.height)),
opencv.CV_RGB(r,g,b), width)
def detect(image):
image_size = opencv.cvGetSize(image)
# create grayscale version
grayscale = opencv.cvCreateImage(image_size, 8, 1)
opencv.cvCvtColor(image, grayscale, opencv.CV_BGR2GRAY)
# create storage
storage = opencv.cvCreateMemStorage(0)
# equalize histogram
opencv.cvEqualizeHist(grayscale, grayscale)
# detect objects
faces = opencv.cvHaarDetectObjects(grayscale, cascade, storage, 1.2, 2, opencv.CV_HAAR_DO_CANNY_PRUNING, opencv.cvSize(100, 100))
# eyes = opencv.cvHaarDetectObjects(grayscale, eye_cascade, storage, 1.2, 2, opencv.CV_HAAR_DO_CANNY_PRUNING, opencv.cvSize(60,60))
draw_bounding_boxes(faces, image, 127,255,0, 3)
# draw_bounding_boxes(eyes, image, 255,127,0, 1)
fps = 30.0
window = pygame.display.set_mode((640,480))
pygame.display.set_caption("Face-recognition Demo")
screen = pygame.display.get_surface()
#demo image preparation
cv_im = highgui.cvLoadImage("demo.jpg")
pil_im = Ipl2PIL(cv_im)
def read_demo_image():
return pil_im
while True:
# Fixed demo for when you have no Webcam
#im = read_demo_image()
# UNCOMMENT this and comment out the demo when you wish to use webcam
im = get_image()
pil_img = pygame.image.frombuffer(im.tostring(), im.size, im.mode)
screen.blit(pil_img, (0,0))
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