def update(self) -> None:
try:
wf_data = self.stream.read(flags.chunk,
exception_on_overflow=False)
wf_data = np.frombuffer(wf_data, dtype=float)
if np.size(wf_data) == 0:
return
self.input_data = np.hstack(
(self.input_data[wf_data.shape[0]:], wf_data))
input_last = self.input_data[:self.fftWindow]
# Normalization
input_last = input_last / np.sqrt(
(np.sum(np.square(input_last)) + 1e-6))
self.spectral_data = np.fft.fft(input_last)
self.spectral_data = np.abs(self.spectral_data[:self.fftWindow //
2])
if np.sum(self.spectral_data) > 0:
self.spectrum_trace2 = self.spectrum_trace
self.spectrum_trace = self.spectrum_plot.plot(pen='m', width=3)
self.spectrum_trace.setData(self.f, self.spectral_data)
self.spectrum_plot.setLogMode(x=True, y=True)
self.spectrum_plot.setYRange(-13, 2, padding=0.001)
self.spectrum_plot.setXRange(np.log10(Note.C(4).freq),
np.log10(Note.C(8).freq),
padding=0.005)
if self.spectrum_trace2 is not None:
self.spectrum_plot.removeItem(self.spectrum_trace2)
except IOError:
pass # underflow, waiting for data
def __init__(self,
stream,
rate: int,
lowest: Note = Note.C(2),
highest: Note = Note.C(8),
List=[]) -> None:
super().__init__(List)
self.rate = rate
self.stream = stream
self.lowest = lowest
self.highest = highest
self.fftWindow = flags.fftWindow
self.savingRange = 44100 # 1 second
self.timer = Qt.QTimer()
self.timer.timeout.connect(self.update)
self.app = Qt.QApplication(sys.argv)
self.window = pg.GraphicsWindow(title="PyTuner")
self.window.setGeometry(5, 115, 1910, 1070)
sp_labels = [(np.log10(Note(i).freq), Note(i).name())
for i in range(-48, 94)]
sp_x_axis = pg.AxisItem(orientation='bottom')
sp_x_axis.setTicks([sp_labels])
self.spectrum_plot = self.window.addPlot(
title="Sound spectrum",
row=1,
col=1,
axisItems={'bottom': sp_x_axis})
self.spectrum_trace = None
self.spectrum_trace2 = None
self.spectrum_plot.setXRange(np.log10(self.lowest.freq),
np.log10(self.highest.freq),
padding=0.005)
self.f = np.linspace(1, self.rate / 2, self.fftWindow // 2)
self.input_data = np.zeros((self.savingRange, ), dtype=float)
self.spectral_data = np.zeros((self.fftWindow // 2, ), dtype=float)
self.draw_note_lines()
self.start()