"""
from __future__ import division
-import timeside.decoder
-import timeside.encoder
-import timeside.grapher
-import timeside.analyzer
+import timeside
import matplotlib.pyplot as plt
import numpy as np
+import sys
+
+wav_file = sys.argv[-1]
-wavFile = 'TimeSide/tests/samples/sweep.mp3'
-wavFile = '/home/thomas/data/CNRSMH_E_1985_001_001_001_04.wav'
# normal
-d = timeside.decoder.FileDecoder(wavFile, start=10, duration=15)
+d = timeside.decoder.FileDecoder(wav_file, start=10, duration=15)
specgram = timeside.analyzer.Spectrogram()
waveform = timeside.analyzer.Waveform()
@author: thomas
"""
from __future__ import division
-import timeside.decoder
-import timeside.encoder
-import timeside.grapher
-import timeside.analyzer
+import timeside
import matplotlib.pyplot as plt
import numpy as np
import sys
specgram = timeside.analyzer.Spectrogram()
waveform = timeside.analyzer.Waveform()
#g = timeside.grapher.Spectrogram()
-#
-#
+
pipe = (decoder | aubio_pitch | aubio_temporal | specgram | waveform).run()
pipe.results.keys()
plt.imshow(20 * np.log10(spec_res.data.T),
origin='lower',
extent=[spec_res.time[0], spec_res.time[-1], 0,
- (N // 2 + 1) / N * spec_res.frameMetadata.samplerate],
+ (N // 2 + 1) / N * spec_res.frame_metadata.samplerate],
aspect='auto')
res_pitch = aubio_pitch.results['aubio_pitch']