source: tests/demo/bench/tempo/demo-tempo-acf @ 41ed384

#! /usr/bin/python

""" this file was written by Paul Brossier 
  it is released under the GNU/GPL license.
"""

import sys,time
from aubio.task import taskbeat,taskparams
from aubio.aubioclass import fvec, aubio_autocorr
from aubio.gnuplot import gnuplot_create, gnuplot_addargs
from aubio.aubiowrapper import *
from math import exp,log

usage = "usage: %s [options] -i soundfile" % sys.argv[0]

def parse_args():
        from optparse import OptionParser
        parser = OptionParser(usage=usage)
        parser.add_option("-i","--input",
                          action="store", dest="filename", 
                          help="input sound file")
        parser.add_option("-n","--printframe",
                          action="store", dest="printframe", default=-1, 
                          help="make a plot of the n_th frame")
        gnuplot_addargs(parser)
        (options, args) = parser.parse_args()
        if not options.filename: 
                 print "no file name given\n", usage
                 sys.exit(1)
        return options, args

def plotdata(x,y,plottitle="",**keyw):
        import Gnuplot
        return Gnuplot.Data(x, y, title="%s" % plottitle,**keyw)

options, args = parse_args()
filename = options.filename
xsize = float(options.xsize)
ysize = float(options.ysize)

printframe = int(options.printframe)

if options.outplot and printframe > 0: 
  extension = options.outplot.split('.')[-1] 
  outplot = '.'.join(options.outplot.split('.')[:-1])
else: 
  extension = ''
  outplot = None
f = gnuplot_create(outplot,extension,options)

params = taskparams()
params.onsetmode = 'specdiff'
task = taskbeat(filename,params=params)

hopsize = params.hopsize
bufsize = params.bufsize
btstep = task.btstep
winlen = task.btwinlen
laglen = winlen/4
step = winlen/4

timesig = 0
maxnumelem = 4
gp = 0
counter = 0
flagconst = 0
constthresh = 3.901
g_var      = 3.901
rp = 0
rp1 = 0
rp2 = 0
g_mu = 0

rayparam = 48/512.*winlen

t     = [i for i in range(hopsize)]
#tlong = [i for i in range(hopsize*(btstep-1))]
#tall  = [i for i in range(hopsize*btstep)]
sig    = [0 for i in range(hopsize*btstep*4)]
dfx = [i for i in range(winlen)]
dfframe = [0 for i in range(winlen)]
dfrev = [0 for i in range(winlen)]
acframe = [0 for i in range(winlen/2)]

localacf = [0 for i in range(winlen)]
inds = [0 for i in range(maxnumelem)]

acx = [i for i in range(laglen)]
acfout  = [0 for i in range(laglen)]

phwv  = [0 for i in range(2*laglen)]
phwvx = [i for i in range(2*laglen)]

dfwvnorm = exp(log(2.0)*(winlen+2.)/rayparam);
dfwv = [exp(log(2.)*(i+1.)/rayparam)/dfwvnorm for i in range(winlen)]

gwv = [exp(-.5*(j+1.-g_mu)**2/g_var**2) for j in range(laglen)]
rwv = [(i+1.)/rayparam**2 * exp(-(i+1.)**2 / (2.*rayparam)**2)
        for i in range(0,laglen)] 
acf = fvec(winlen,1)

nrframe = 0
while (task.readsize == params.hopsize):
  task()
  #print task.pos2
  sig[:-hopsize] = [i for i in sig[-(btstep*4-1)*hopsize:]]
  sig[-hopsize:] = [task.myvec.get(i,0) for i in t]

  #g('set xrange [%f:%f]' % (t[0],t[-1]))
  #time.sleep(.2)
  if task.pos2==btstep-1:
    nrframe += 1
    dfframe = [task.dfframe.get(i,0) for i in range(winlen)]
    # start beattracking_do
    for i in range(winlen):
      dfrev[winlen-1-i] = 0.
      dfrev[winlen-1-i] = dfframe[i]*dfwv[i]
    aubio_autocorr(task.dfframe(),acf()); 
    acframe = [acf.get(i,0) for i in range(winlen/2)]
    if printframe == nrframe or printframe == -1:
      d  = [[plotdata(range(0,btstep*hopsize*4,4),sig[0:-1:4],plottitle="input signal", with='lines')]]
      d  += [[plotdata(range(-winlen,0),dfframe,plottitle="onset detection", with='lines')]]
      d  += [[plotdata(range(winlen/2),acframe,plottitle="autocorrelation", with='lines')]]

    # plot all this
    if printframe == nrframe or printframe == -1:

      f('set lmargin 4')
      f('set rmargin 4')
      f('set size %f,%f' % (1.0*xsize,1.0*ysize) )
      f('set key spacing 1.3')
      f('set multiplot')

      f('set size %f,%f' % (1.0*xsize,0.33*ysize) )
      f('set orig %f,%f' % (0.0*xsize,0.66*ysize) )
      f('set xrange [%f:%f]' % (0,btstep*hopsize*4) )
      f('set yrange [%f:%f]' % (-1.2*max(sig),1.2*max(sig)) )
      f.title('Input signal')
      f.xlabel('time (samples)')
      f.plot(*d[0])
      f('set size %f,%f' % (1.0*xsize,0.33*ysize) )
      f('set orig %f,%f' % (0.0*xsize,0.33*ysize) )
      f('set xrange [%f:%f]' % (-winlen,0) )
      f('set autoscale y')
      f.title('Onset detection function')
      f.xlabel('time (df samples)')
      f.plot(*d[1])
      f('set size %f,%f' % (1.0*xsize,0.33*ysize) )
      f('set orig %f,%f' % (0.0*xsize,0.00*ysize) )
      f('set xrange [%f:%f]' % (0,winlen/2) )
      f.title('Autocorrelation')
      f.xlabel('lag (df samples)')
      f.plot(*d[2])
      f('set nomultiplot')
    if printframe == -1: a = sys.stdin.read()
    elif 0 < printframe and printframe < nrframe:
      break