Пример #1
0
class Client():
  def __init__(self, master):
    self.microphone = Microphone()
    self.audioToNet = AudioToNet()
    self.trafficPrinter = TrafficPrinter()
    self.master = master

  def call(self, host, port):
    self.microphone.init()
    s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    self.master.serveOn(s)
    self.sendTo(s, host, port)
    self.microphone.destroy()

  def sendTo(self, socket, host, port):
    print "Sending to {0}, port {1}".format(host, port)
    while True:
      audio = self.microphone.nextAudioChunk()
      chunk = self.audioToNet.convert(audio)
      self.sendChunk(chunk, socket, host, port)
  
  def sendChunk(self, chunk, socket, host, port):
    socket.sendto(chunk, (host, port))
    self.trafficPrinter.addTraffic(len(chunk))
Пример #2
0
class Client():
    def __init__(self, master):
        self.microphone = Microphone()
        self.audioToNet = AudioToNet()
        self.trafficPrinter = TrafficPrinter()
        self.master = master

    def call(self, host, port):
        self.microphone.init()
        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
        self.master.serveOn(s)
        self.sendTo(s, host, port)
        self.microphone.destroy()

    def sendTo(self, socket, host, port):
        print "Sending to {0}, port {1}".format(host, port)
        while True:
            audio = self.microphone.nextAudioChunk()
            chunk = self.audioToNet.convert(audio)
            self.sendChunk(chunk, socket, host, port)

    def sendChunk(self, chunk, socket, host, port):
        socket.sendto(chunk, (host, port))
        self.trafficPrinter.addTraffic(len(chunk))
Пример #3
0
def init():  # only required for blitting to give a clean slate.
    x_data = np.arange(VISUALIZER_LENGTH)
    y_data = np.zeros(len(x_data))
    line.set_data(x_data, y_data)
    return line,


def animate(i):
    x_data = np.arange(VISUALIZER_LENGTH)
    y_data = np.zeros(len(x_data))
    raw_data = mic.sampleInput()
    if sum(raw_data) > 0:
        processed_data = sig_processor.process_sample(raw_data)
        y_data = np.concatenate((processed_data[::-1], processed_data))
        y_data = y_data / y_data.mean()
        x_data = np.arange(len(y_data))
    line.set_data(x_data, y_data)
    return line,


ani = animation.FuncAnimation(fig,
                              animate,
                              blit=True,
                              init_func=init,
                              frames=10,
                              interval=10)

plt.show()

mic.destroy()