def main():
# Load training data into model
print 'Loading training data...'
model = cv2.createEigenFaceRecognizer()
model.load(config.TRAINING_FILE)
print 'Training data loaded!'
# Initialize camer and box.
camera = config.get_camera()
door = hardware.Door()
# Move box to locked position.
door.lock()
print 'Running Lock...'
print 'Press button to lock (if unlocked), or unlock if the correct face is detected.'
print 'Press Ctrl-C to quit.'
while True:
try:
# Check if capture should be made.
# TODO: Check if button is pressed.
if door.is_button_up() or is_letter_input('l'):
if not door.is_locked:
# Lock the door if it is unlocked
door.lock()
print 'Door is now locked.'
else:
print 'Button pressed, looking for face...'
# Check for the positive face and unlock if found.
image = camera.read()
# Convert image to grayscale.
image = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
# Get coordinates of single face in captured image.
result = face.detect_single(image)
if result is None:
print 'Could not detect single face! Check the image in capture.pgm' \
' to see what was captured and try again with only one face visible.'
soundChannelC.play(soundC)
sleep(.01)
continue
x, y, w, h = result
# Crop and resize image to face.
crop = face.resize(face.crop(image, x, y, w, h))
# Test face against model.
label, confidence = model.predict(crop)
print 'Predicted {0} face with confidence {1} (lower is more confident).'.format(
'POSITIVE' if label == config.POSITIVE_LABEL else
'NEGATIVE', confidence)
if label == config.POSITIVE_LABEL and confidence < config.POSITIVE_THRESHOLD:
print 'Recognized face! Unlocking Door Now...'
door.unlock()
soundChannelA.play(soundA)
sleep(.01)
else:
print 'Did not recognize face!'
soundChannelB.play(soundB)
sleep(.01)
except KeyboardInterrupt:
door.clean()
sys.exit()
def ReadCardID(self):
global ID
global camera
global door
global led
User = UserData.UserData()
ID = User.UserID()
camera = config.get_camera()
door = hardware.Door()
led = hardware.Led()
if select.select([sys.stdin,],[],[],0.0)[0]:
input_char = sys.stdin.read(1)
return input_char.lower() == letter.lower()
return False
if __name__ == '__main__':
# Load training data into model
print 'Loading training data...'
model = cv2.face.createEigenFaceRecognizer()
model.load(config.TRAINING_FILE)
print 'Training data loaded!'
# Initialize camera and door.
camera = config.get_camera()
door = hardware.Door()
# Move box to locked position.
door.lock()
print 'Running Face Detection Software'
print 'Press button to lock (if unlocked), or unlock if the correct face is detected.'
print 'Press and Enter c for Manual Button Press.'
print 'Press Ctrl-C to quit.'
while True:
# Check if capture should be made.
# TODO: Check if button is pressed.
if door.is_button_up() or is_letter_input('c') :
if not door.is_locked:
# Lock the door if it is unlocked
door.lock()
print 'Door is now locked.'
else: