def main():
# Instantiate Classes
detector = FaceDetector(FACE_CLASSIFIER_PATH, EYE_CLASSIFIER_PATH)
model = FaceModel()
display = Display()
capture = Capture()
oldTime = time.time()
i = 0
subprocess.call(['speech-dispatcher'])
while True:
# Calculate time difference (dt), update oldTime variable
newTime = time.time()
dt = newTime - oldTime
oldTime = newTime
# Grab Frames
frames = capture.read()
# Detect face 20% of the time, eyes 100% of the time
if i % 10 is 0:
rects = detector.detect(frames)
else:
rects = detector.detect(frames, model.getPreviousFaceRects())
i += 1
# Add detected rectangles to model
model.add(rects)
# Render
display.renderScene(frames['display'], model, rects)
display.renderEyes(frames['color'], model)
