ContinuousCaptureFace.py

from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import cv2

camera = PiCamera()
camera.resolution = (320, 240)
camera.framerate = 16
rawCapture = PiRGBArray(camera, size=(320, 240))

# Warm up camera
time.sleep(0.1)

face_cascade = cv2.CascadeClassifier(
    '/home/pi/opencv-3.0.0/data/haarcascades/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(
    '/home/pi/opencv-3.0.0/data/haarcascades/haarcascade_eye.xml')
glasses_cascade = cv2.CascadeClassifier(
    '/home/pi/opencv-3.0.0/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml')
smile_cascade = cv2.CascadeClassifier(
    '/home/pi/opencv-3.0.0/data/haarcascades/haarcascade_smile.xml')

for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
    image = frame.array

    gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)

    faces = face_cascade.detectMultiScale(gray, 1.1, 5)

    for (x,y,w,h) in faces:
        # cv2.rectangle(image,(x,y),(x+w,y+h),(255,255,0),2)
        cv2.rectangle(image,(x,y),(x+w,y+h),(255,0,0),2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = image[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        glasses = glasses_cascade.detectMultiScale(roi_gray)

        if len(glasses) > 0 or len(eyes) > 0:
            print "I Can Haz Face"
        
        for(ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
        for(ex,ey,ew,eh) in glasses:
            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)

    cv2.imshow("Frame", image)
    key = cv2.waitKey(1) & 0xFF

    rawCapture.truncate(0)

    if key == ord("q"):
        break