Changes in / [5d16185:18a378e]
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- 2 deleted
- 3 edited
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python/demos/demo_specdesc.py
r5d16185 r18a378e 22 22 pv = pvoc(win_s, hop_s) 23 23 24 methods = ['default', 'energy', 'hfc', 'complex', 'phase', 'specdiff', 'kl', 25 'mkl', 'specflux', 'centroid', 'slope', 'rolloff', 'spread', 'skewness',26 'kurtosis', 'decrease',]24 methods = ['default', 'energy', 'hfc', 'complex', 'phase', 'specdiff', 'kl', 'mkl', 25 'specflux', 'centroid', 'spread', 'skewness', 'kurtosis', 'slope', 'decrease', 26 'rolloff', ] 27 27 28 28 all_descs = {} … … 40 40 samples, read = s() 41 41 fftgrain = pv(samples) 42 #print "%f" % ( total_frames / float(samplerate) ),42 print "%f" % ( total_frames / float(samplerate) ), 43 43 for method in methods: 44 44 specdesc_val = o[method](fftgrain)[0] 45 45 all_descs[method] = hstack ( [all_descs[method], specdesc_val] ) 46 #print "%f" % specdesc_val,47 #print46 print "%f" % specdesc_val, 47 print 48 48 total_frames += read 49 49 if read < hop_s: break … … 53 53 import matplotlib.pyplot as plt 54 54 from demo_waveform_plot import get_waveform_plot 55 from demo_waveform_plot import set_xlabels_sample2time56 55 fig = plt.figure() 57 56 plt.rc('lines',linewidth='.8') 58 57 wave = plt.axes([0.1, 0.75, 0.8, 0.19]) 59 get_waveform_plot(filename, samplerate, block_size = hop_s,ax = wave )58 get_waveform_plot(filename, samplerate, ax = wave ) 60 59 wave.yaxis.set_visible(False) 61 60 wave.xaxis.set_visible(False) … … 75 74 horizontalalignment='right', verticalalignment='bottom', 76 75 ) 77 set_xlabels_sample2time(ax, all_desc_times[-1], samplerate) 76 if all_desc_times[-1] / float(samplerate) > 60: 77 plt.xlabel('time (mm:ss)') 78 ax.set_xticklabels([ "%02d:%02d" % (t/float(samplerate)/60, (t/float(samplerate))%60) for t in ax.get_xticks()[:-1]], rotation = 50) 79 else: 80 plt.xlabel('time (ss.mm)') 81 ax.set_xticklabels([ "%02d.%02d" % (t/float(samplerate), 100*((t/float(samplerate))%1) ) for t in ax.get_xticks()[:-1]], rotation = 50) 78 82 #plt.ylabel('spectral descriptor value') 79 83 ax.xaxis.set_visible(True) -
python/demos/demo_waveform_plot.py
r5d16185 r18a378e 5 5 from numpy import zeros, hstack 6 6 7 def get_waveform_plot(filename, samplerate = 0, block_size = 4096,ax = None):7 def get_waveform_plot(filename, samplerate = 0, ax = None): 8 8 import matplotlib.pyplot as plt 9 9 if not ax: 10 10 fig = plt.figure() 11 11 ax = fig.add_subplot(111) 12 hop_s = block_size12 hop_s = 4096 # block size 13 13 14 14 allsamples_max = zeros(0,) 15 downsample = 2** 4# to plot n samples / hop_s15 downsample = 2**3 # to plot n samples / hop_s 16 16 17 17 a = source(filename, samplerate, hop_s) # source file … … 26 26 total_frames += read 27 27 if read < hop_s: break 28 print samples.reshape(hop_s/downsample, downsample).shape 29 28 30 allsamples_max = (allsamples_max > 0) * allsamples_max 29 31 allsamples_max_times = [ ( float (t) / downsample ) * hop_s for t in range(len(allsamples_max)) ] … … 33 35 ax.axis(xmin = allsamples_max_times[0], xmax = allsamples_max_times[-1]) 34 36 35 set_xlabels_sample2time(ax, allsamples_max_times[-1], samplerate) 36 return ax 37 38 def set_xlabels_sample2time(ax, latest_sample, samplerate): 39 ax.axis(xmin = 0, xmax = latest_sample) 40 if latest_sample / float(samplerate) > 60: 37 if allsamples_max_times[-1] / float(samplerate) > 60: 41 38 ax.set_xlabel('time (mm:ss)') 42 39 ax.set_xticklabels([ "%02d:%02d" % (t/float(samplerate)/60, (t/float(samplerate))%60) for t in ax.get_xticks()[:-1]], rotation = 50) … … 44 41 ax.set_xlabel('time (ss.mm)') 45 42 ax.set_xticklabels([ "%02d.%02d" % (t/float(samplerate), 100*((t/float(samplerate))%1) ) for t in ax.get_xticks()[:-1]], rotation = 50) 46 47 48 43 if __name__ == '__main__': 49 44 import matplotlib.pyplot as plt -
tests/src/io/test-sink.c
r5d16185 r18a378e 34 34 } while ( read == hop_size ); 35 35 36 PRINT_MSG(" wrote %d frames at %dHz from %s written to %s\n",37 n_frames, s amplerate, source_path, sink_path);36 PRINT_MSG("%d frames read from %s\n written to %s at %dHz\n", 37 n_frames, source_path, sink_path, samplerate); 38 38 39 39 beach:
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