def __init__(self):
self.timer = CvTimer()
self.work_timer = CountdownTimer()
#TODO:this should be configurable from gui
self.frame_counter = FPSCounter(every=5)
self.capturer = Capturer()
self.frame_size = frame_width, frame_heigth = self.capturer.get_camera_width_heigth()
#TODO: check the way to reduce the capture.
print('capturing %sx%s' % (frame_width, frame_heigth))
self.face_enforcer = enforcers.EnforceFaceLimits(say_warning)
self.face_classifier = classifiers.CascadeClassifier(find_data_file('cascades/haarcascade_frontalface_alt.xml'))
#Initialize GUI:
self.gui = CX_Gui(window_name='behave', frame_size=self.frame_size, callback_obj=self)
self.gui.initialize_gui()
#Event hooks, they control the flow of the main loop:
self._event_debug = False
self._event_enforcing = True
self._event_quit = False
self._event_auto_limit = False
self._event_image_show = True
#_msg is used to get output from events
self._event_msg = None
#Auto-adjust protocol needs:
self._auto_faces = []
self._auto_num_faces = 5 #TODO: gui configurable
self._auto_tilt = 10
class Behave(object):
def __init__(self):
self.timer = CvTimer()
self.work_timer = CountdownTimer()
#TODO:this should be configurable from gui
self.frame_counter = FPSCounter(every=5)
self.capturer = Capturer()
self.frame_size = frame_width, frame_heigth = self.capturer.get_camera_width_heigth()
#TODO: check the way to reduce the capture.
print('capturing %sx%s' % (frame_width, frame_heigth))
self.face_enforcer = enforcers.EnforceFaceLimits(say_warning)
self.face_classifier = classifiers.CascadeClassifier(find_data_file('cascades/haarcascade_frontalface_alt.xml'))
#Initialize GUI:
self.gui = CX_Gui(window_name='behave', frame_size=self.frame_size, callback_obj=self)
self.gui.initialize_gui()
#Event hooks, they control the flow of the main loop:
self._event_debug = False
self._event_enforcing = True
self._event_quit = False
self._event_auto_limit = False
self._event_image_show = True
#_msg is used to get output from events
self._event_msg = None
#Auto-adjust protocol needs:
self._auto_faces = []
self._auto_num_faces = 5 #TODO: gui configurable
self._auto_tilt = 10
def dispatch_keyb_events(self):
keyb_event = self.gui.keyb_event_generator()
if keyb_event == 'quit':
self._event_quit = True
elif keyb_event == 'debug':
self._event_debug = not self._event_debug
elif keyb_event == 'toggle_work_timer':
if self.work_timer.is_started:
self.work_timer.stop()
else:
self.work_timer.start()
elif keyb_event == 'toggle_show_image':
self._event_image_show = not self._event_image_show
elif keyb_event == 'set_limit_auto':
self._event_auto_limit = True
def handle_left_click_in_img(self, y_coord):
self.face_enforcer.set_y_limit_low(y_limit_low=y_coord)
def handle_auto_limit(self, face):
"""Fancy protocol, saves N faces, takes average and sets the y limit with a tilt"""
#We disable enforcing
self._event_enforcing = False
self._auto_faces.append(face)
len_faces = len(self._auto_faces)
msg = ("AUTO-adjusting in process... sit correctly! %s of %s" % (len_faces, self._auto_num_faces))
if len_faces == self._auto_num_faces:
y_s = [y + h / 2. for x, y, w, h in self._auto_faces]
h_s = [h for x, y, w, h in self._auto_faces]
#Very ugly, but needed, float to get the real avg, then truncate to get pixels
avg_y_s = int(sum(y_s) / len_faces)
avg_size = int(float(sum(h_s)) / len_faces)
surplus = int(float(avg_size) / self._auto_tilt)
y_limit_low = avg_y_s + surplus
self.face_enforcer.set_y_limit_low(y_limit_low)
#leaving the auto adjustment, cleaning up:
self.face_enforcer.reset_wrongs()
self.face_enforcer.reset_oks()
self._auto_faces = list()
self._event_auto_limit = False
self._event_enforcing = True
return msg
def detect_face_in_frame(self, a_frame):
a_frame = convert_to_gray(a_frame)
a_frame = equalize(a_frame)
faces_list = self.face_classifier.detect_multiscale(a_frame)
return faces_list[0] if len(faces_list) == 1 else None
def handle_enforce(self, face):
action_needed, msg = self.face_enforcer.check_face(face)
if action_needed:
action_needed()
#slight relax in the limit, trying to adjust.TODO:only reduces.
self.face_enforcer.adjust_y_limit_low_after_scold()
if msg:
return msg
@property
def should_process_this_frame(self):
return self.frame_counter.check_if_capture
def main(self):
while(not self._event_quit):
self.timer.mark_new_frame()
#Capture frame-by-frame
a_frame = self.capturer.get_frame()
a_frame = flip_frame(a_frame)
self.gui.feed_frame(a_frame)
#detect face part:
if self.should_process_this_frame:
#face>>(x,y,w,h)
face = self.detect_face_in_frame(a_frame)
if face is not None:
self.gui.show_face_position(face)
if self._event_debug:
self.gui.show_face(face)
if self._event_auto_limit:
self._event_msg = self.handle_auto_limit(face)
elif self._event_enforcing:
self._event_msg = self.handle_enforce(face)
#this if is out of the process one to leave the msg in between frames
if self._event_msg:
self.gui.show_msg(self._event_msg)
#Check user input, this part needs to be after the frame has been created and fed to gui:
self.dispatch_keyb_events()
if self._event_debug:
self.gui.show_debug(self.timer)
#TODO: if face detected, work counter counts:
if self.work_timer.is_started:
self.gui.show_contdown(self.work_timer.get_time_left())
#Add on-screen controls and limits visual guide:
self.gui.show_controls()
self.gui.show_limits(self.face_enforcer)
#Display the resulting frame
if self._event_image_show:
self.gui.show_image()
#if we are out of the while:
self.clean_up()
def clean_up(self):
self.capturer.release()
self.gui.close_window()