ref: 65a4fb4d95e51cf33ee9f90a5dfb20f5addd9f7c
dir: /python/demos/demo_onset_plot.py/
#! /usr/bin/env python
import sys
from aubio import onset, source
from numpy import hstack, zeros
win_s = 512 # fft size
hop_s = win_s // 2 # hop size
if len(sys.argv) < 2:
print("Usage: %s <filename> [samplerate]" % sys.argv[0])
sys.exit(1)
filename = sys.argv[1]
samplerate = 0
if len( sys.argv ) > 2: samplerate = int(sys.argv[2])
s = source(filename, samplerate, hop_s)
samplerate = s.samplerate
o = onset("default", win_s, hop_s, samplerate)
# list of onsets, in samples
onsets = []
# storage for plotted data
desc = []
tdesc = []
allsamples_max = zeros(0,)
downsample = 2 # to plot n samples / hop_s
# total number of frames read
total_frames = 0
while True:
samples, read = s()
if o(samples):
print("%f" % (o.get_last_s()))
onsets.append(o.get_last())
# keep some data to plot it later
new_maxes = (abs(samples.reshape(hop_s//downsample, downsample))).max(axis=0)
allsamples_max = hstack([allsamples_max, new_maxes])
desc.append(o.get_descriptor())
tdesc.append(o.get_thresholded_descriptor())
total_frames += read
if read < hop_s: break
if 1:
# do plotting
import matplotlib.pyplot as plt
allsamples_max = (allsamples_max > 0) * allsamples_max
allsamples_max_times = [ float(t) * hop_s / downsample / samplerate for t in range(len(allsamples_max)) ]
plt1 = plt.axes([0.1, 0.75, 0.8, 0.19])
plt2 = plt.axes([0.1, 0.1, 0.8, 0.65], sharex = plt1)
plt.rc('lines',linewidth='.8')
plt1.plot(allsamples_max_times, allsamples_max, '-b')
plt1.plot(allsamples_max_times, -allsamples_max, '-b')
for stamp in onsets:
stamp /= float(samplerate)
plt1.plot([stamp, stamp], [-1., 1.], '-r')
plt1.axis(xmin = 0., xmax = max(allsamples_max_times) )
plt1.xaxis.set_visible(False)
plt1.yaxis.set_visible(False)
desc_times = [ float(t) * hop_s / samplerate for t in range(len(desc)) ]
desc_max = max(desc) if max(desc) != 0 else 1.
desc_plot = [d / desc_max for d in desc]
plt2.plot(desc_times, desc_plot, '-g')
tdesc_plot = [d / desc_max for d in tdesc]
for stamp in onsets:
stamp /= float(samplerate)
plt2.plot([stamp, stamp], [min(tdesc_plot), max(desc_plot)], '-r')
plt2.plot(desc_times, tdesc_plot, '-y')
plt2.axis(ymin = min(tdesc_plot), ymax = max(desc_plot))
plt.xlabel('time (s)')
#plt.savefig('/tmp/t.png', dpi=200)
plt.show()