def __init__(self):
self.model = ModelManager.ModelManager()
self.width = 800
self.height = 600
self.clientsocket = None
self.graph = None
self.channel_manager=ChannelManager.ChannelManager()
self._getgraph()
def __init__(self):
# 实例化模型管理类
self.model = ModelManager.ModelManager()
self.width = 1024
self.height = 768
self.clientsocket = None
self.channel_manager = ChannelManager.ChannelManager()
self.graph = None
self._getgraph()
def __init__(self):
Thread.__init__(self)
self.channel_manager = ChannelManager.ChannelManager(3)
self.request_generator = RequestGenerator.RequestGenerator(
self.channel_manager.get_request)
self.request_generator.start()
# self.request_generator.start()
# self.channel_manager.start()
self.root = Tk()
btn_create_new_channel = Button(self.root, text='Add channel')
btn_remove_empty_channel = Button(self.root, text='Remove channel')
btn_create_new_channel.bind('<Button-1>',
self.channel_manager.add_channel)
btn_remove_empty_channel.bind('<Button-1>',
self.channel_manager.remove_channel)
btn_create_new_channel.pack(side='left')
btn_remove_empty_channel.pack(side='right')
self.stat_text = StringVar()
self.lbl = Label(self.root, textvariable=self.stat_text)
self.lbl.pack(side='top')
print('clientsocket is None')
sys.exit(1)
# Create a thread, bind a thread function.
# the thread function will block after establishing a connection
thread_1 = threading.Thread(target=clientsocket.start_connect)
# Set the thread as a background thread.
# After the main thread ends, the background thread will stop regardless of whether it has finished running
thread_1.setDaemon(True)
# Thread function execution, establish a connection
thread_1.start()
# Provide sufficient connection time for data transfer of the main thread
time.sleep(0.1)
# Instantiate Channel Manager
channel_manager = ChannelManager.ChannelManager()
# Get message data
data = channel_manager.OpenChannel()
# Send message data to presenter server
clientsocket.send_data(data)
cap = cv2.VideoCapture(URL)
ret, frame = cap.read()
# According to the flag,Perform different processing methods
if mp4_url:
try:
while ret:
# Processing the detection results of a frame of pictures
ret = Head_pose_inference.dowork(frame, clientsocket,
channel_manager, face_app,
