max_freq],
aspect='auto')
-data = res_vamp.data - res_vamp.data.mean()
+data = (res_vamp.data - res_vamp.data.mean()).clip(0)
plt.plot(res_vamp.time, abs(data / data.max() * max_freq))
def release(self):
# set Result
- spectrogram = self.new_result(dataMode='value', timeMode='framewise')
+ spectrogram = self.new_result(data_mode='value', time_mode='framewise')
# parameters :
spectrogram.parameters = {'FFT_SIZE': self.FFT_SIZE}
# Set Data
- spectrogram.dataObject.value = self.values
+ spectrogram.data_object.value = self.values
self._results.add(spectrogram)
def release(self):
# set Result
- waveform = self.new_result(dataMode='value', timeMode='framewise')
+ waveform = self.new_result(data_mode='value', time_mode='framewise')
# Set Data
- waveform.dataObject.value = np.asarray(self.values).flatten()
+ waveform.data_object.value = np.asarray(self.values).flatten()
self._results.add(waveform)