animated_plots.append(
plt.plot(xAxis,
bin_history[x],
'-',
label=labels[x],
marker='o',
markersize=12,
markevery=[])[0])
plt.legend(loc='upper left')
# beat_detect.lastbeat = time.time()
while True:
data = audio.sample_and_send()
fft.run_fft(data)
fft.getDominantF()
fft.splitLevels()
# fft.set_freq_bins_max()
fft.normalize_bin_values()
for x in xrange(7):
bin_history[x].pop(0)
bin_history[x].append(fft.stats['bin_values_normalized'][x])
beat_detectors[x].detect((bin_history[x][:]))
for x in xrange(7):
animated_plots[x].set_ydata(bin_history[x])
animated_plots[x].set_markevery(beat_detectors[x].history)
def run(self):
print 'create client'
client = UdpClient(udp_ip=self.udp_ip,
udp_port_rec=self.udp_port_rec,
udp_port_send=self.udp_port_send)
client.connect()
if client.connected:
print 'client connected'
''' 1 - get source '''
datasize = 2048
frate = 44100
self.mode = 'mic'
if self.mode == 'wav':
audio = Audio(source={
'input': 'wav',
'path': 'resources/DaftPunk.wav',
'datasize': self.datasize
},
output=True)
if self.mode == 'mic':
audio = AudioStream(source={
'input': 'mic',
'datasize': self.datasize,
'rate': self.frate
},
output=False)
''' create fft '''
fft = Fft(datasize=datasize,
frate=frate,
gain=10e-4,
saturation_point=1024)
data = audio.sample_and_send()
fft.configure_fft(data)
fft.getDominantF()
fft.splitLevels()
fft.normalize_bin_values()
last_tick = time.time()
while True:
''' wait until next cycle '''
if (time.time() - last_tick) > self.process_period:
last_tick = time.time()
data = audio.sample_and_send()
fft.run_fft(data)
fft.getDominantF()
fft.splitLevels()
# fft.set_freq_bins_max()
fft.normalize_bin_values()
msg = ','.join(
[str(i) for i in fft.stats['bin_values_normalized']])
print msg
if not client.send(msg):
''' wait for reconnect '''
else:
time.sleep(.0001)
else:
print 'client not connected'
client.disconnect()
