--- /dev/null
+#! /usr/bin/python
+
+from aubio.bench.onset import benchonset
+from aubio.task.onset import taskonset
+from aubio.task.params import taskparams
+
+class mybenchonset(benchonset):
+
+ def run_bench(self,modes=['dual'],thresholds=[0.5]):
+ from os.path import dirname,basename
+ self.thresholds = thresholds
+ self.pretty_titles()
+
+ for mode in modes:
+ d = []
+ self.params.onsetmode = mode
+ self.params.localmin = True
+ self.params.delay = 1.
+ self.params.threshold = thresholds[0]
+ #
+ self.params.localmin = False
+ self.params.delay = 0.
+ self.dir_eval_print()
+ self.plotdiffs(d,plottitle="Causal")
+ #
+ self.params.localmin = True
+ self.params.delay = 0.
+ self.dir_eval_print()
+ self.plotdiffs(d,plottitle="Local min")
+
+ self.params.localmin = False
+ self.params.delay = 6.
+ self.dir_eval_print()
+ self.plotdiffs(d,plottitle="Fixed delay")
+
+ #self.plotplotdiffs(d)
+ outplot = "_-_".join(("delay",mode,basename(self.datadir) ))
+ for ext in ("png","svg","ps"):
+ self.plotplotdiffs(d,outplot=outplot,extension=ext)
+
+if __name__ == "__main__":
+ import sys
+ if len(sys.argv) > 1: datapath = sys.argv[1]
+ else: print "ERR: a path is required"; sys.exit(1)
+ modes = ['complex', 'energy', 'phase', 'hfc', 'specdiff', 'kl', 'mkl', 'dual']
+ #thresholds = [ 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
+ #modes = [ 'hfc' ]
+ thresholds = [0.5]
+
+ #datapath = "%s%s" % (DATADIR,'/onset/DB/*/')
+ respath = '/var/tmp/DB-testings'
+
+ benchonset = mybenchonset(datapath,respath,checkres=True,checkanno=True)
+ benchonset.params = taskparams()
+ benchonset.task = taskonset
+ benchonset.valuesdict = {}
+
+ try:
+ #benchonset.auto_learn2(modes=modes)
+ benchonset.run_bench(modes=modes,thresholds=thresholds)
+ except KeyboardInterrupt:
+ sys.exit(1)
--- /dev/null
+#! /usr/bin/python
+
+from aubio.task import *
+
+from aubio.bench.onset import mmean, stdev, benchonset
+
+class mybenchonset(benchonset):
+
+ def run_bench(self,modes=['dual'],thresholds=[0.5]):
+ from os.path import dirname,basename
+ self.thresholds = thresholds
+ self.pretty_titles()
+ d,e,f,g = [],[],[],[]
+ for mode in modes:
+ self.vlist = []
+ self.params.onsetmode = mode
+ #self.params.localmin = True
+
+ for threshold in self.thresholds:
+ self.params.threshold = threshold
+ self.dir_eval_print()
+ self.vlist.append(self.v)
+ self.plotroc(d)
+ self.plotfmeas(e)
+ self.plotpr(f)
+ #self.plothistcat(g)
+
+
+
+ #self.plotplotroc(d)
+ #self.plotplotfmeas(e)
+ #self.plotplotpr(f)
+ outplot = basename(self.datadir)
+ for ext in ("png","svg","ps"):
+ self.plotplotroc(d,outplot=outplot,extension=ext)
+ self.plotplotfmeas(e,outplot=outplot,extension=ext)
+ self.plotplotpr(f,outplot=outplot,extension=ext)
+ #self.plotplothistcat(g,outplot=outplot,extension=ext)
+
+if __name__ == "__main__":
+ import sys
+ if len(sys.argv) > 1: datapath = sys.argv[1]
+ else: print "ERR: a path is required"; sys.exit(1)
+ modes = ['complex', 'energy', 'phase', 'hfc', 'specdiff', 'kl', 'mkl', 'dual']
+ thresholds = [ 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
+ #modes = [ 'hfc' ]
+ #thresholds = [0.5]
+
+ #datapath = "%s%s" % (DATADIR,'/onset/DB/*/')
+ respath = '/var/tmp/DB-testings'
+
+ benchonset = mybenchonset(datapath,respath,checkres=True,checkanno=True)
+ benchonset.params = taskparams()
+ benchonset.params.dcthreshold = -1.
+ benchonset.params.silence = -100.
+ benchonset.params.delay = 5.
+ benchonset.params.bufsize = 1024
+ benchonset.params.hopsize = 256
+ benchonset.params.step = float(benchonset.params.hopsize)/float(benchonset.params.samplerate)
+ benchonset.params.mintol = 4.1
+ benchonset.task = taskonset
+ benchonset.valuesdict = {}
+
+ try:
+ #benchonset.auto_learn2(modes=modes)
+ benchonset.run_bench(modes=modes,thresholds=thresholds)
+ except KeyboardInterrupt:
+ sys.exit(1)
--- /dev/null
+#! /usr/bin/python
+
+from aubio.bench.onset import benchonset
+from aubio.task.onset import taskonset
+from aubio.task.params import taskparams
+
+class mybenchonset(benchonset):
+
+ def run_bench(self,modes=['dual'],thresholds=[0.5]):
+ from os.path import dirname,basename
+ self.thresholds = thresholds
+ self.pretty_titles()
+
+ for mode in modes:
+
+ self.params.onsetmode = mode
+ self.params.localmin = True
+ self.params.delay = 1.
+ self.params.threshold = thresholds[0]
+ self.params.localmin = False
+ #
+ for delay in (0., 4.):
+ d = []
+ self.params.delay = delay
+ for buf in (2048, 1024, 512):
+ for hop in (buf/2, buf/4):
+ self.params.bufsize = buf
+ self.params.hopsize = hop
+ self.params.step = float(self.params.hopsize)/float(self.params.samplerate)
+ self.dir_eval_print()
+ self.plotdiffs(d,plottitle="%s %s" % (buf,hop))
+ #plotplotdiffs(d)
+ outplot = "_-_".join(("window",mode,"delay-%s" % int(delay),
+ basename(self.datadir) ))
+ for ext in ("png","svg","ps"):
+ self.plotplotdiffs(d,outplot=outplot,extension=ext)
+
+if __name__ == "__main__":
+ import sys
+ if len(sys.argv) > 1: datapath = sys.argv[1]
+ else: print "ERR: a path is required"; sys.exit(1)
+ modes = ['complex', 'energy', 'phase', 'hfc', 'specdiff', 'kl', 'mkl', 'dual']
+ #thresholds = [ 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
+ #modes = [ 'hfc' ]
+ thresholds = [0.5]
+
+ #datapath = "%s%s" % (DATADIR,'/onset/DB/*/')
+ respath = '/var/tmp/DB-testings'
+
+ benchonset = mybenchonset(datapath,respath,checkres=True,checkanno=True)
+ benchonset.params = taskparams()
+ benchonset.task = taskonset
+ benchonset.valuesdict = {}
+
+ try:
+ #benchonset.auto_learn2(modes=modes)
+ benchonset.run_bench(modes=modes,thresholds=thresholds)
+ except KeyboardInterrupt:
+ sys.exit(1)
--- /dev/null
+#! /usr/bin/python
+
+from aubio.bench.node import *
+from aubio.task import *
+
+class benchpitch(bench):
+
+ """ list of values to store per file """
+ valuenames = ['mode']
+ """ list of lists to store per file """
+ valuelists = ['truth', 'osil', 'esil', 'opit', 'epit', 'echr',
+ 'Msil', 'Mpit', 'Mchr',
+ 'TotalPit', 'TotalPit', 'TotalChr' ]
+ """ list of values to print per dir """
+ printnames_total = [ 'mode', 'MinPit', 'MaxPit', 'TotalSil', 'TotalPit', 'TotalChr']
+ printnames_notes = [ 'mode', 'Note', 'Sil', 'Pit', 'Chr']
+ printnames = printnames_notes
+
+ """ per dir """
+ formats = {'mode': "%12s" ,
+ 'truth': "%s",
+ 'osil': "%s", 'esil': "%s",
+ 'opit': "%s", 'epit': "%s", 'echr': "%s",
+ 'Note': "%s", 'Sil': "%s", 'Chr': "%s", 'Pit': "%s",
+ 'TotalPit': "%s", 'TotalSil': "%s", 'TotalChr': "%s",
+ 'MinPit': "%s", 'MaxPit': "%s",
+ 'Msil': "%s", 'Mpit': "%s", 'Mchr': "%s"}
+
+ def dir_eval(self):
+ """ evaluate statistical data over the directory """
+ v = self.v
+ v['mode'] = self.params.pitchmode
+
+ def file_exec(self,input,output):
+ filetask = self.task(input,params=self.params)
+ computed_data = filetask.compute_all()
+ osil, esil, opit, epit, echr = filetask.eval(computed_data,tol=0.5)
+ self.v['truth'].append(int(filetask.truth))
+ assert opit > 0
+
+ self.v['osil'].append(osil)
+ self.v['esil'].append(esil)
+ self.v['opit'].append(opit)
+ self.v['epit'].append(epit)
+ self.v['echr'].append(echr)
+
+ self.v['Msil'].append(esil/float(osil)*100.)
+ self.v['Mpit'].append(epit/float(opit)*100.)
+ self.v['Mchr'].append(echr/float(opit)*100.)
+ #print results#, computed_data
+ #print input, results, results - float(input.split('.')[-2])
+
+ def run_bench(self,modes=['schmitt'],multiplot=0):
+ from os.path import basename
+ self.modes = modes
+ self.pretty_titles()
+ d = []
+ for mode in self.modes:
+ self.params.pitchmode = mode
+ self.dir_exec()
+ self.dir_eval()
+ truth = [i for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
+ allOsil = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
+ allEsil = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
+ allOpit = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
+ allEpit = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
+ allEchr = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
+ allMsil = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
+ allMpit = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
+ allMchr = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
+ for i in range(len(self.v['truth'])):
+ allOsil[self.v['truth'][i]-min(self.v['truth'])] += self.v['osil'][i]
+ allEsil[self.v['truth'][i]-min(self.v['truth'])] += self.v['esil'][i]
+ allOpit[self.v['truth'][i]-min(self.v['truth'])] += self.v['opit'][i]
+ allEpit[self.v['truth'][i]-min(self.v['truth'])] += self.v['epit'][i]
+ allEchr[self.v['truth'][i]-min(self.v['truth'])] += self.v['echr'][i]
+ for i in range(len(truth)):
+ allOsil[i] = max(1,allOsil[i])
+ allOpit[i] = max(1,allOpit[i])
+ allMsil[i] = allEsil[i]/float(allOsil[i])*100.
+ allMpit[i] = allEpit[i]/float(allOpit[i])*100.
+ allMchr[i] = allEchr[i]/float(allOpit[i])*100.
+ self.v['Sil'], self.v['Pit'], self.v['Chr'] = allMsil[i], allMpit[i], allMchr[i]
+ self.v['Note'] = truth[i]
+ #self.printnames = self.printnames_notes
+ self.pretty_print()
+ self.v['TotalSil'] = sum(allMsil)/len(truth)
+ self.v['TotalPit'] = sum(allMpit)/len(truth)
+ self.v['TotalChr'] = sum(allMchr)/len(truth)
+ self.v['MinPit'] = min(truth)
+ self.v['MaxPit'] = max(truth)
+ #self.printnames = self.printnames_total
+ #self.pretty_print()
+
+ plot = []
+ self.plotpitchtessiture(plot,
+ truth,
+ allMpit,
+ plottitle="%s %s" % (self.v['mode'],self.params.bufsize),
+ plotmode='lines')
+ """
+ self.plotpitchtessiture(plot,
+ truth,
+ allMchr,
+ plottitle="%s %s" % (self.v['mode'],"%12"),
+ plotmode='lines')
+ self.plotpitchtessiture(plot,
+ truth,
+ allMsil,
+ plottitle="%s %s" % (self.v['mode'],"sil"),
+ plotmode='lines')
+ """
+ title = basename(self.datadir)
+ if multiplot:
+ d.append(plot)
+ else:
+ d += plot
+ outplot = "_-_".join(('pitchtessiture',title))
+ self.xmin = min(self.v['truth']) #20.
+ self.xmax = max(self.v['truth'])
+ for ext in ('ps','png','svg'): #,''):
+ self.plotplotpitchtessiture(d,
+ plottitle="".join(['Performance against MIDI Note number (',
+ title,
+ ", %s" % len(self.sndlist), " samples)"]),
+ outplot=outplot,
+ extension=ext,multiplot=multiplot)
+ #d.append('beta = .25,orig(x) title \"-2 octave\"')
+ #d.append('beta = .50,orig(x) title \"-1 octave\"')
+ #d.append('beta = 1.0,orig(x) title \"original\"')
+ #d.append('beta = 2.0,orig(x) title \"+1 octave\"')
+
+ """
+ Plot functions
+ """
+
+ def plotpitchtessiture(self,d,lx,ly,plottitle="",plotmode='linespoints'):
+ import Gnuplot, Gnuplot.funcutils
+ d.append(Gnuplot.Data(lx, ly, with=plotmode, title="%s" % (plottitle) ))
+
+ def plotplotpitchtessiture(self,d,plottitle='',outplot=0,extension='',multiplot=1):
+ from aubio.gnuplot import gnuplot_create
+ g = gnuplot_create(outplot=outplot,extension=extension)
+ #g.title(plottitle)
+ #g('orig(x) = beta*x')
+ g.title(plottitle)
+ g('set yrange [50:100]')
+ # erase axis
+ g('set xrange [%f:%f]' % (self.xmin,self.xmax)) #(self.xmax - (self.xmax-self.xmin)*5./4.,self.xmax))
+ #g.plot(*d)
+ g('set border 3')
+ g('set xtics nomirror')
+ g('set ytics nomirror')
+ g('set key bottom')
+ if multiplot:
+ g('set multiplot')
+ for i in range(len(d)):
+ # plot onset detection functions
+ g('set size 1,%f' % ( 1.0/float(len(d)) ) )
+ g('set origin 0,%f' % ( 1.0*float(len(d)-i-1)/float(len(d)) ) )
+ #g.ylabel('%Correct detections')
+ g('set xrange [%f:%f]' % (self.xmin,self.xmax)) #(self.xmax - (self.xmax-self.xmin)*5./4.,self.xmax))
+ g.plot(*d[i])
+ g('unset title')
+ g('unset multiplot')
+ else:
+ g.plot(*d)
+
+
+if __name__ == "__main__":
+ import sys
+ if len(sys.argv) > 1: datapath = sys.argv[1]
+ else: print "error: a path is required"; sys.exit(1)
+ if len(sys.argv) > 2:
+ for each in sys.argv[3:-1]: print each
+ modes = ['schmitt', 'yin', 'yinfft', 'mcomb', 'fcomb']
+ #modes = ['mcomb']
+
+ params = taskparams()
+ params.bufsize = 2048 # 4096
+ params.hopsize = 256
+ params.silence = -60.
+ params.pitchsmooth = 0
+ params.pitchmax = 20000
+ params.pitchmin = 20
+ params.pitchyinfft = 0.95
+ benchpitch = benchpitch(datapath,params=params)
+ benchpitch.task = taskpitch
+
+ #benchpitch.titles = [ 'mode', 'thres', 'avg', 'avgdist' ]
+ #benchpitch.formats = ["%12s" , "| %6s", "| %6s", "| %6s", "| %6s", "| %6s" ]
+ try:
+ benchpitch.run_bench(modes=modes)
+ except KeyboardInterrupt:
+ print "Interrupted by user"
+ sys.exit(1)
+
+ sys.exit(0)
--- /dev/null
+#! /usr/bin/python
+
+if __name__ == '__main__':
+ import sys, Gnuplot
+ from aubio.gnuplot import gnuplot_create
+ from aubio.txtfile import read_datafile
+ from aubio.plot.keyboard import draw_keyboard
+ lines = []
+ titles = []
+ for file in range(len(sys.argv)-1):
+ l = read_datafile(sys.argv[file+1])
+ notes, score = [],[]
+ for i in range(len(l)):
+ notes.append(l[i][0])
+ score.append(l[i][2])
+ lines.append(Gnuplot.Data(notes,score,
+ with='linespoints',
+ title=sys.argv[file+1].split('.')[-1]))
+ titles.append(sys.argv[file+1].split('.')[-1])
+ blacks,whites = draw_keyboard(firstnote = notes[0], lastnote = notes[-1],
+ y0= 40, y1 = 50)
+
+ g = gnuplot_create(sys.argv[file+1].split('.')[-3],'ps')
+ #g = gnuplot_create('','')
+ #g = gnuplot_create('/tmp/test','eps')
+ g('set yrange [40:100]')
+ #g('set xrange [%f:%f]' % (notes[0],notes[-1]+60))
+ g('set size 0.5')
+ g('set key outside')
+
+ g('set border 3')
+ g('set xtics nomirror')
+ g('set ytics nomirror')
+ multiplot = 1
+ oplots = lines
+ g('set size 1,2')
+ if multiplot:
+ height = 2.
+ g('set lmargin 10')
+ #g('set rmargin 15')
+ g('set multiplot')
+ g('set yrange [50:100]')
+ g('set xrange [%f:%f]' % (notes[0],notes[-1]))
+ g('set xtics %f,12' % notes[0])
+ g('set nokey')
+ for i in range(len(oplots)):
+ g.ylabel(titles[i])
+ g('set size %f,%f' % (1.,height*.85/float(len(oplots))))
+ g('set origin 0,%f' % (height*(.15+.85*float(len(oplots)-i-1)/float(len(oplots)))))
+ g.plot(oplots[i])
+ g('set title "Raw pitch accuracy (%) against midi note numbers"')
+ g('set noxtics')
+ g('set noytics')
+ g('set size %f,%f' % (1.,.15*height))
+ g('set origin 0,%f' % 0)
+ g('set yrange [40:50]')
+ g('set xrange [%f:%f]' % (notes[0],notes[-1]))
+ g.xlabel('')
+ g.ylabel('')
+ g.plot(whites,blacks)
+ g('unset multiplot')
+ else:
+ g.plot(whites,blacks,*lines)
--- /dev/null
+#! /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=outplot,extension=extension,options=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)]
+#a = [0 for i in range(hopsize*btstep)]
+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)]
+
+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
+ #a[:-hopsize] = [i for i in a[-(btstep-1)*hopsize:]]
+ #a[-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)]
+ if printframe == nrframe or printframe == -1:
+ d = [[plotdata(range(-winlen,0),dfframe,plottitle="onset detection", with='lines')]]
+ # 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)]
+ if not timesig:
+ numelem = 4
+ else:
+ numelem = timesig
+
+ old = 0
+ acfout = [0 for i in range(winlen/4)]
+ for i in range(1,laglen-1):
+ for a in range(1,numelem+1):
+ for b in range (1-a,a):
+ acfout[i] += acframe[a*(i+1)+b-1] * 1./(2.*a-1.)*rwv[i]
+ if old < acfout[i]:
+ old = acfout[i]
+ maxi = i
+ rp = max(maxi,1);
+
+ if printframe == nrframe or printframe == -1:
+ rwvs = [rwv[i]*max(acframe) for i in range(len(rwv))]
+ d += [[plotdata(acx,acfout,plottitle="comb filterbank", with='lines', axes='x1y1'),
+ plotdata([rp,rp],[1.2*old,min(acfout)],plottitle="period", with='impulses', axes='x1y1'),
+ plotdata(acx,rwvs,plottitle="L_w", with='lines', axes='x1y1')]]
+
+ # getperiod
+ inds = [0 for i in range(maxnumelem)]
+ localacf = [0 for i in range(winlen)]
+ period = 0
+ for a in range(1,4+1):
+ for b in range(1-a,a):
+ localacf[a*rp+b-1] = acframe[a*rp+b-1]
+ for i in range(numelem):
+ maxindex = 0
+ maxval = 0.0
+ for j in range(rp*(i+1)+i):
+ if localacf[j] > maxval:
+ maxval = localacf[j]
+ maxind = j
+ localacf[j] = 0
+ inds[i] = maxind
+ for i in range(numelem):
+ period += inds[i]/(i+1.)
+ period = period/numelem
+ #print "period", period
+
+ # checkstate
+ if gp:
+ # context dependant model
+ acfout = [0 for i in range(winlen/4)]
+ old = 0
+ for i in range(laglen-1):
+ for a in range(timesig):
+ for b in range(1-a,a):
+ acfout[i] += acframe[a*(i+1)+b-1] * gwv[i]
+ if old < acfout[i]:
+ old = acfout[i]
+ maxi = i
+ gp = maxi
+ else:
+ # general model
+ gp = 0
+ #print "gp", gp
+ if printframe == nrframe or printframe == -1:
+ gwvs = [gwv[i]*max(acfout) for i in range(len(gwv))]
+ d += [[plotdata(acx,acfout,plottitle="comb filterbank", with='lines', axes='x1y1'),
+ plotdata(gp,old,plottitle="period", with='impulses', axes='x1y1'),
+ plotdata(acx,gwvs,plottitle="L_{gw}", with='lines', axes='x1y1')]]
+
+ if counter == 0:
+ # initial step
+ if abs(gp-rp) > 2.*constthresh:
+ flagstep = 1
+ counter = 3
+ else:
+ flagstep = 0
+ #print "flagstep", flagstep
+ #print "rp2,rp1,rp", rp2,rp1,rp
+ acfw = [dfframe[i]*dfwv[i] for i in range(winlen)]
+
+ if counter == 1 and flagstep == 1:
+ # "3rd frame after flagstep set"
+ if abs(2.*rp-rp1- rp2) < constthresh:
+ flagconst = 1
+ counter = 0
+ else:
+ flagconst = 0
+ counter = 2
+ elif counter > 0:
+ counter -= 1
+
+ rp2 = rp1; rp1 = rp
+
+ if flagconst:
+ # "first run of new hypothesis"
+ gp = rp
+ g_mu = gp
+ timesig = 4 #FIXME
+ gwv = [exp(-.5*(j+1.-g_mu)**2/g_var**2) for j in range(laglen)]
+ flagconst = 0
+ bp = gp
+ phwv = [1 for i in range(2*laglen)]
+ elif timesig:
+ # "contex dependant"
+ bp = gp
+ if step > lastbeat:
+ phwv = [exp(-.5*(1.+j-step+lastbeat)**2/(bp/8.)) for j in range(2*laglen)]
+ else:
+ print "NOT using phase weighting"
+ phwv = [1 for i in range(2*laglen)]
+ else:
+ # "initial state"
+ bp = rp
+ phwv = [1 for i in range(2*laglen)]
+
+ while bp < 25:
+ print "WARNING, doubling the beat period"
+ bp *= 2
+
+ #
+ phout = [0. for i in range(winlen)]
+
+ kmax = int(winlen/float(bp));
+
+ old = 0
+ for i in range(bp):
+ phout[i] = 0.
+ for k in range(kmax):
+ phout[i] += dfrev[i+bp*k] * phwv[i]
+ if phout[i] > old:
+ old = phout[i]
+ maxi = i
+ maxindex = maxi
+ if (maxindex == winlen - 1): maxindex = 0
+ phase = 1 + maxindex
+ i = 1
+ beat = bp - phase
+ beats= []
+ if beat >= 0: beats.append(beat)
+ while beat+bp < step:
+ beat += bp
+ beats.append(beat)
+ lastbeat = beat
+ #print beats,
+ #print "the lastbeat is", lastbeat
+
+ # plot all this
+ if printframe == nrframe or printframe == -1:
+ phwvs = [phwv[i]*max(phout) for i in range(len(phwv))]
+ d += [[plotdata(range(-laglen,0),phwvs[laglen:0:-1],plottitle="A_{gw}", with='lines',axes='x1y1'),
+ plotdata(range(-laglen,0),phout[laglen:0:-1],plottitle="df", with='lines'),
+ plotdata(-phase,old,plottitle="phase", with='impulses', axes='x1y1'),
+ plotdata([i for i in beats],[old for i in beats],plottitle="predicted", with='impulses')
+ ]]
+ #d += [[plotdata(dfx,dfwv,plottitle="phase weighting", with='lines', axes='x1y2'),
+ # plotdata(dfx,dfrev,plottitle="df reverse", with='lines', axes='x1y1')]]
+ #d += [[plotdata(dfx,phout,plottitle="phase", with='lines', axes='x1y2')]]
+ #d += [[plotdata(dfx,dfwv,plottitle="phase weighting", with='lines', axes='x1y2'),
+ # plotdata(dfx,dfrev,plottitle="df reverse", with='lines', axes='x1y1')]]
+ #d += [[plotdata(dfx,phout,plottitle="phase", with='lines', axes='x1y2')]]
+
+ 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]' % (-winlen,0) )
+ f.title('Onset detection function')
+ f.xlabel('time (df samples)')
+ f.plot(*d[0])
+ f('set size %f,%f' % (0.5*xsize,0.33*ysize) )
+ f('set orig %f,%f' % (0.0*xsize,0.33*ysize) )
+ f('set xrange [%f:%f]' % (0,laglen) )
+ f.title('Period detection: Rayleygh weighting')
+ f.xlabel('lag (df samples)')
+ f.plot(*d[1])
+ f('set size %f,%f' % (0.5*xsize,0.33*ysize) )
+ f('set orig %f,%f' % (0.5*xsize,0.33*ysize) )
+ f('set xrange [%f:%f]' % (0,laglen) )
+ f.title('Period detection: Gaussian weighting')
+ f.xlabel('lag (df samples)')
+ f.plot(*d[2])
+ 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]' % (-laglen,laglen) )
+ f.title('Phase detection and predicted beats')
+ f.xlabel('time (df samples)')
+ f.plot(*d[3])
+ f('set nomultiplot')
+ if printframe == -1: a = sys.stdin.read()
+ elif 0 < printframe and printframe < nrframe:
+ break
--- /dev/null
+#! /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
--- /dev/null
+from template import program_test_case
+
+class aubioonset_unit(program_test_case):
+
+ import os.path
+ filename = os.path.join('..','..','sounds','woodblock.aiff')
+ progname = os.path.join('..','..','examples','aubioonset')
+
+ def test_aubioonset_with_inf_silence(self):
+ """ test aubioonset with -s 0 """
+ self.command += " -s 0"
+ self.getOutput()
+ assert len(self.output) == 0, self.output
+
+class aubioonset_unit_finds_onset(aubioonset_unit):
+
+ def test_aubioonset(self):
+ """ test aubioonset with default parameters """
+ self.getOutput()
+ assert len(str(self.output)) != 0, "no output produced with command:\n" \
+ + self.command
+
+ def test_aubioonset_with_no_silence(self):
+ """ test aubioonset with -s -100 """
+ self.command += " -s -100 "
+ self.getOutput()
+ # only one onset in woodblock.aiff
+ self.assertNotEqual(0, len(str(self.output)), \
+ "no output produced with command:\n" + self.command)
+ self.assertEqual(1, len(self.output.split('\n')) )
+ # onset should be at 0.00000
+ self.assertEqual(0, float(self.output.strip()))
+
+list_of_onset_modes = ["energy", "specdiff", "hfc", "complex", "phase", \
+ "kl", "mkl", "specflux"]
+
+for name in list_of_onset_modes:
+ exec("class aubioonset_"+name+"_unit(aubioonset_unit):\n\
+ options = \" -O "+name+" \"")
+
+if __name__ == '__main__': unittest.main()
--- /dev/null
+from template import *
+
+import os.path
+
+class aubiopitch_test_case(program_test_case):
+
+ import os.path
+ filename = os.path.join('..','..','sounds','woodblock.aiff')
+ progname = "PYTHONPATH=../../python:../../python/aubio/.libs " + \
+ os.path.join('..','..','python','aubiopitch')
+
+ def test_aubiopitch(self):
+ """ test aubiopitch with default parameters """
+ self.getOutput()
+ # FIXME: useless check
+ self.assertEqual(len(self.output.split('\n')), 1)
+ #self.assertEqual(float(self.output.strip()), 0.)
+
+ def test_aubiopitch_verbose(self):
+ """ test aubiopitch with -v parameter """
+ self.command += " -v "
+ self.getOutput()
+ # FIXME: loose checking: make sure at least 8 lines are printed
+ assert len(self.output) >= 8
+
+ def test_aubiopitch_devnull(self):
+ """ test aubiopitch on /dev/null """
+ self.filename = "/dev/null"
+ # exit status should not be 0
+ self.getOutput(expected_status = 256)
+ # and there should be an error message
+ assert len(self.output) > 0
+ # that looks like this
+ output_lines = self.output.split('\n')
+ #assert output_lines[0] == "Unable to open input file /dev/null."
+ #assert output_lines[1] == "Supported file format but file is malformed."
+ #assert output_lines[2] == "Could not open input file /dev/null."
+
+mode_names = ["yinfft", "yin", "fcomb", "mcomb", "schmitt"]
+for name in mode_names:
+ exec("class aubiopitch_test_case_" + name + "(aubiopitch_test_case):\n\
+ options = \" -m " + name + " \"")
+
+class aubiopitch_test_yinfft(program_test_case):
+
+ filename = os.path.join('..','..','sounds','16568__acclivity__TwoCows.wav')
+ url = "http://www.freesound.org/samplesViewSingle.php?id=16568"
+ progname = "PYTHONPATH=../../python:../../python/aubio/.libs " + \
+ os.path.join('..','..','python','aubiopitch')
+ options = " -m yinfft -t 0.75 "
+
+ def test_aubiopitch(self):
+ """ test aubiopitch with default parameters """
+ if not os.path.isfile(self.filename):
+ print "Warning: file 16568_acclivity_TwoCows.wav was not found in %s" % os.path.dirname(self.filename)
+ print "download it from %s to actually run test" % url
+ return
+ self.getOutput()
+ expected_output = open(os.path.join('examples','aubiopitch','yinfft'+'.'+os.path.basename(self.filename)+'.txt')).read()
+ lines = 0
+ for line_out, line_exp in zip(self.output.split('\n'), expected_output.split('\n')):
+ try:
+ assert line_exp == line_out, line_exp + " vs. " + line_out + " at line " + str(lines)
+ except:
+ open(os.path.join('examples','aubiopitch','yinfft'+'.'+os.path.basename(self.filename)+'.txt.out'),'w').write(self.output)
+ raise
+ lines += 1
+
+if __name__ == '__main__': unittest.main()
--- /dev/null
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+++ /dev/null
-#! /usr/bin/python
-
-from aubio.bench.onset import benchonset
-from aubio.task.onset import taskonset
-from aubio.task.params import taskparams
-
-class mybenchonset(benchonset):
-
- def run_bench(self,modes=['dual'],thresholds=[0.5]):
- from os.path import dirname,basename
- self.thresholds = thresholds
- self.pretty_titles()
-
- for mode in modes:
- d = []
- self.params.onsetmode = mode
- self.params.localmin = True
- self.params.delay = 1.
- self.params.threshold = thresholds[0]
- #
- self.params.localmin = False
- self.params.delay = 0.
- self.dir_eval_print()
- self.plotdiffs(d,plottitle="Causal")
- #
- self.params.localmin = True
- self.params.delay = 0.
- self.dir_eval_print()
- self.plotdiffs(d,plottitle="Local min")
-
- self.params.localmin = False
- self.params.delay = 6.
- self.dir_eval_print()
- self.plotdiffs(d,plottitle="Fixed delay")
-
- #self.plotplotdiffs(d)
- outplot = "_-_".join(("delay",mode,basename(self.datadir) ))
- for ext in ("png","svg","ps"):
- self.plotplotdiffs(d,outplot=outplot,extension=ext)
-
-if __name__ == "__main__":
- import sys
- if len(sys.argv) > 1: datapath = sys.argv[1]
- else: print "ERR: a path is required"; sys.exit(1)
- modes = ['complex', 'energy', 'phase', 'hfc', 'specdiff', 'kl', 'mkl', 'dual']
- #thresholds = [ 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
- #modes = [ 'hfc' ]
- thresholds = [0.5]
-
- #datapath = "%s%s" % (DATADIR,'/onset/DB/*/')
- respath = '/var/tmp/DB-testings'
-
- benchonset = mybenchonset(datapath,respath,checkres=True,checkanno=True)
- benchonset.params = taskparams()
- benchonset.task = taskonset
- benchonset.valuesdict = {}
-
- try:
- #benchonset.auto_learn2(modes=modes)
- benchonset.run_bench(modes=modes,thresholds=thresholds)
- except KeyboardInterrupt:
- sys.exit(1)
+++ /dev/null
-#! /usr/bin/python
-
-from aubio.task import *
-
-from aubio.bench.onset import mmean, stdev, benchonset
-
-class mybenchonset(benchonset):
-
- def run_bench(self,modes=['dual'],thresholds=[0.5]):
- from os.path import dirname,basename
- self.thresholds = thresholds
- self.pretty_titles()
- d,e,f,g = [],[],[],[]
- for mode in modes:
- self.vlist = []
- self.params.onsetmode = mode
- #self.params.localmin = True
-
- for threshold in self.thresholds:
- self.params.threshold = threshold
- self.dir_eval_print()
- self.vlist.append(self.v)
- self.plotroc(d)
- self.plotfmeas(e)
- self.plotpr(f)
- #self.plothistcat(g)
-
-
-
- #self.plotplotroc(d)
- #self.plotplotfmeas(e)
- #self.plotplotpr(f)
- outplot = basename(self.datadir)
- for ext in ("png","svg","ps"):
- self.plotplotroc(d,outplot=outplot,extension=ext)
- self.plotplotfmeas(e,outplot=outplot,extension=ext)
- self.plotplotpr(f,outplot=outplot,extension=ext)
- #self.plotplothistcat(g,outplot=outplot,extension=ext)
-
-if __name__ == "__main__":
- import sys
- if len(sys.argv) > 1: datapath = sys.argv[1]
- else: print "ERR: a path is required"; sys.exit(1)
- modes = ['complex', 'energy', 'phase', 'hfc', 'specdiff', 'kl', 'mkl', 'dual']
- thresholds = [ 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
- #modes = [ 'hfc' ]
- #thresholds = [0.5]
-
- #datapath = "%s%s" % (DATADIR,'/onset/DB/*/')
- respath = '/var/tmp/DB-testings'
-
- benchonset = mybenchonset(datapath,respath,checkres=True,checkanno=True)
- benchonset.params = taskparams()
- benchonset.params.dcthreshold = -1.
- benchonset.params.silence = -100.
- benchonset.params.delay = 5.
- benchonset.params.bufsize = 1024
- benchonset.params.hopsize = 256
- benchonset.params.step = float(benchonset.params.hopsize)/float(benchonset.params.samplerate)
- benchonset.params.mintol = 4.1
- benchonset.task = taskonset
- benchonset.valuesdict = {}
-
- try:
- #benchonset.auto_learn2(modes=modes)
- benchonset.run_bench(modes=modes,thresholds=thresholds)
- except KeyboardInterrupt:
- sys.exit(1)
+++ /dev/null
-#! /usr/bin/python
-
-from aubio.bench.onset import benchonset
-from aubio.task.onset import taskonset
-from aubio.task.params import taskparams
-
-class mybenchonset(benchonset):
-
- def run_bench(self,modes=['dual'],thresholds=[0.5]):
- from os.path import dirname,basename
- self.thresholds = thresholds
- self.pretty_titles()
-
- for mode in modes:
-
- self.params.onsetmode = mode
- self.params.localmin = True
- self.params.delay = 1.
- self.params.threshold = thresholds[0]
- self.params.localmin = False
- #
- for delay in (0., 4.):
- d = []
- self.params.delay = delay
- for buf in (2048, 1024, 512):
- for hop in (buf/2, buf/4):
- self.params.bufsize = buf
- self.params.hopsize = hop
- self.params.step = float(self.params.hopsize)/float(self.params.samplerate)
- self.dir_eval_print()
- self.plotdiffs(d,plottitle="%s %s" % (buf,hop))
- #plotplotdiffs(d)
- outplot = "_-_".join(("window",mode,"delay-%s" % int(delay),
- basename(self.datadir) ))
- for ext in ("png","svg","ps"):
- self.plotplotdiffs(d,outplot=outplot,extension=ext)
-
-if __name__ == "__main__":
- import sys
- if len(sys.argv) > 1: datapath = sys.argv[1]
- else: print "ERR: a path is required"; sys.exit(1)
- modes = ['complex', 'energy', 'phase', 'hfc', 'specdiff', 'kl', 'mkl', 'dual']
- #thresholds = [ 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
- #modes = [ 'hfc' ]
- thresholds = [0.5]
-
- #datapath = "%s%s" % (DATADIR,'/onset/DB/*/')
- respath = '/var/tmp/DB-testings'
-
- benchonset = mybenchonset(datapath,respath,checkres=True,checkanno=True)
- benchonset.params = taskparams()
- benchonset.task = taskonset
- benchonset.valuesdict = {}
-
- try:
- #benchonset.auto_learn2(modes=modes)
- benchonset.run_bench(modes=modes,thresholds=thresholds)
- except KeyboardInterrupt:
- sys.exit(1)
+++ /dev/null
-#! /usr/bin/python
-
-from aubio.bench.node import *
-from aubio.task import *
-
-class benchpitch(bench):
-
- """ list of values to store per file """
- valuenames = ['mode']
- """ list of lists to store per file """
- valuelists = ['truth', 'osil', 'esil', 'opit', 'epit', 'echr',
- 'Msil', 'Mpit', 'Mchr',
- 'TotalPit', 'TotalPit', 'TotalChr' ]
- """ list of values to print per dir """
- printnames_total = [ 'mode', 'MinPit', 'MaxPit', 'TotalSil', 'TotalPit', 'TotalChr']
- printnames_notes = [ 'mode', 'Note', 'Sil', 'Pit', 'Chr']
- printnames = printnames_notes
-
- """ per dir """
- formats = {'mode': "%12s" ,
- 'truth': "%s",
- 'osil': "%s", 'esil': "%s",
- 'opit': "%s", 'epit': "%s", 'echr': "%s",
- 'Note': "%s", 'Sil': "%s", 'Chr': "%s", 'Pit': "%s",
- 'TotalPit': "%s", 'TotalSil': "%s", 'TotalChr': "%s",
- 'MinPit': "%s", 'MaxPit': "%s",
- 'Msil': "%s", 'Mpit': "%s", 'Mchr': "%s"}
-
- def dir_eval(self):
- """ evaluate statistical data over the directory """
- v = self.v
- v['mode'] = self.params.pitchmode
-
- def file_exec(self,input,output):
- filetask = self.task(input,params=self.params)
- computed_data = filetask.compute_all()
- osil, esil, opit, epit, echr = filetask.eval(computed_data,tol=0.5)
- self.v['truth'].append(int(filetask.truth))
- assert opit > 0
-
- self.v['osil'].append(osil)
- self.v['esil'].append(esil)
- self.v['opit'].append(opit)
- self.v['epit'].append(epit)
- self.v['echr'].append(echr)
-
- self.v['Msil'].append(esil/float(osil)*100.)
- self.v['Mpit'].append(epit/float(opit)*100.)
- self.v['Mchr'].append(echr/float(opit)*100.)
- #print results#, computed_data
- #print input, results, results - float(input.split('.')[-2])
-
- def run_bench(self,modes=['schmitt'],multiplot=0):
- from os.path import basename
- self.modes = modes
- self.pretty_titles()
- d = []
- for mode in self.modes:
- self.params.pitchmode = mode
- self.dir_exec()
- self.dir_eval()
- truth = [i for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
- allOsil = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
- allEsil = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
- allOpit = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
- allEpit = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
- allEchr = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
- allMsil = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
- allMpit = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
- allMchr = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)]
- for i in range(len(self.v['truth'])):
- allOsil[self.v['truth'][i]-min(self.v['truth'])] += self.v['osil'][i]
- allEsil[self.v['truth'][i]-min(self.v['truth'])] += self.v['esil'][i]
- allOpit[self.v['truth'][i]-min(self.v['truth'])] += self.v['opit'][i]
- allEpit[self.v['truth'][i]-min(self.v['truth'])] += self.v['epit'][i]
- allEchr[self.v['truth'][i]-min(self.v['truth'])] += self.v['echr'][i]
- for i in range(len(truth)):
- allOsil[i] = max(1,allOsil[i])
- allOpit[i] = max(1,allOpit[i])
- allMsil[i] = allEsil[i]/float(allOsil[i])*100.
- allMpit[i] = allEpit[i]/float(allOpit[i])*100.
- allMchr[i] = allEchr[i]/float(allOpit[i])*100.
- self.v['Sil'], self.v['Pit'], self.v['Chr'] = allMsil[i], allMpit[i], allMchr[i]
- self.v['Note'] = truth[i]
- #self.printnames = self.printnames_notes
- self.pretty_print()
- self.v['TotalSil'] = sum(allMsil)/len(truth)
- self.v['TotalPit'] = sum(allMpit)/len(truth)
- self.v['TotalChr'] = sum(allMchr)/len(truth)
- self.v['MinPit'] = min(truth)
- self.v['MaxPit'] = max(truth)
- #self.printnames = self.printnames_total
- #self.pretty_print()
-
- plot = []
- self.plotpitchtessiture(plot,
- truth,
- allMpit,
- plottitle="%s %s" % (self.v['mode'],self.params.bufsize),
- plotmode='lines')
- """
- self.plotpitchtessiture(plot,
- truth,
- allMchr,
- plottitle="%s %s" % (self.v['mode'],"%12"),
- plotmode='lines')
- self.plotpitchtessiture(plot,
- truth,
- allMsil,
- plottitle="%s %s" % (self.v['mode'],"sil"),
- plotmode='lines')
- """
- title = basename(self.datadir)
- if multiplot:
- d.append(plot)
- else:
- d += plot
- outplot = "_-_".join(('pitchtessiture',title))
- self.xmin = min(self.v['truth']) #20.
- self.xmax = max(self.v['truth'])
- for ext in ('ps','png','svg'): #,''):
- self.plotplotpitchtessiture(d,
- plottitle="".join(['Performance against MIDI Note number (',
- title,
- ", %s" % len(self.sndlist), " samples)"]),
- outplot=outplot,
- extension=ext,multiplot=multiplot)
- #d.append('beta = .25,orig(x) title \"-2 octave\"')
- #d.append('beta = .50,orig(x) title \"-1 octave\"')
- #d.append('beta = 1.0,orig(x) title \"original\"')
- #d.append('beta = 2.0,orig(x) title \"+1 octave\"')
-
- """
- Plot functions
- """
-
- def plotpitchtessiture(self,d,lx,ly,plottitle="",plotmode='linespoints'):
- import Gnuplot, Gnuplot.funcutils
- d.append(Gnuplot.Data(lx, ly, with=plotmode, title="%s" % (plottitle) ))
-
- def plotplotpitchtessiture(self,d,plottitle='',outplot=0,extension='',multiplot=1):
- from aubio.gnuplot import gnuplot_create
- g = gnuplot_create(outplot=outplot,extension=extension)
- #g.title(plottitle)
- #g('orig(x) = beta*x')
- g.title(plottitle)
- g('set yrange [50:100]')
- # erase axis
- g('set xrange [%f:%f]' % (self.xmin,self.xmax)) #(self.xmax - (self.xmax-self.xmin)*5./4.,self.xmax))
- #g.plot(*d)
- g('set border 3')
- g('set xtics nomirror')
- g('set ytics nomirror')
- g('set key bottom')
- if multiplot:
- g('set multiplot')
- for i in range(len(d)):
- # plot onset detection functions
- g('set size 1,%f' % ( 1.0/float(len(d)) ) )
- g('set origin 0,%f' % ( 1.0*float(len(d)-i-1)/float(len(d)) ) )
- #g.ylabel('%Correct detections')
- g('set xrange [%f:%f]' % (self.xmin,self.xmax)) #(self.xmax - (self.xmax-self.xmin)*5./4.,self.xmax))
- g.plot(*d[i])
- g('unset title')
- g('unset multiplot')
- else:
- g.plot(*d)
-
-
-if __name__ == "__main__":
- import sys
- if len(sys.argv) > 1: datapath = sys.argv[1]
- else: print "error: a path is required"; sys.exit(1)
- if len(sys.argv) > 2:
- for each in sys.argv[3:-1]: print each
- modes = ['schmitt', 'yin', 'yinfft', 'mcomb', 'fcomb']
- #modes = ['mcomb']
-
- params = taskparams()
- params.bufsize = 2048 # 4096
- params.hopsize = 256
- params.silence = -60.
- params.pitchsmooth = 0
- params.pitchmax = 20000
- params.pitchmin = 20
- params.pitchyinfft = 0.95
- benchpitch = benchpitch(datapath,params=params)
- benchpitch.task = taskpitch
-
- #benchpitch.titles = [ 'mode', 'thres', 'avg', 'avgdist' ]
- #benchpitch.formats = ["%12s" , "| %6s", "| %6s", "| %6s", "| %6s", "| %6s" ]
- try:
- benchpitch.run_bench(modes=modes)
- except KeyboardInterrupt:
- print "Interrupted by user"
- sys.exit(1)
-
- sys.exit(0)
+++ /dev/null
-#! /usr/bin/python
-
-if __name__ == '__main__':
- import sys, Gnuplot
- from aubio.gnuplot import gnuplot_create
- from aubio.txtfile import read_datafile
- from aubio.plot.keyboard import draw_keyboard
- lines = []
- titles = []
- for file in range(len(sys.argv)-1):
- l = read_datafile(sys.argv[file+1])
- notes, score = [],[]
- for i in range(len(l)):
- notes.append(l[i][0])
- score.append(l[i][2])
- lines.append(Gnuplot.Data(notes,score,
- with='linespoints',
- title=sys.argv[file+1].split('.')[-1]))
- titles.append(sys.argv[file+1].split('.')[-1])
- blacks,whites = draw_keyboard(firstnote = notes[0], lastnote = notes[-1],
- y0= 40, y1 = 50)
-
- g = gnuplot_create(sys.argv[file+1].split('.')[-3],'ps')
- #g = gnuplot_create('','')
- #g = gnuplot_create('/tmp/test','eps')
- g('set yrange [40:100]')
- #g('set xrange [%f:%f]' % (notes[0],notes[-1]+60))
- g('set size 0.5')
- g('set key outside')
-
- g('set border 3')
- g('set xtics nomirror')
- g('set ytics nomirror')
- multiplot = 1
- oplots = lines
- g('set size 1,2')
- if multiplot:
- height = 2.
- g('set lmargin 10')
- #g('set rmargin 15')
- g('set multiplot')
- g('set yrange [50:100]')
- g('set xrange [%f:%f]' % (notes[0],notes[-1]))
- g('set xtics %f,12' % notes[0])
- g('set nokey')
- for i in range(len(oplots)):
- g.ylabel(titles[i])
- g('set size %f,%f' % (1.,height*.85/float(len(oplots))))
- g('set origin 0,%f' % (height*(.15+.85*float(len(oplots)-i-1)/float(len(oplots)))))
- g.plot(oplots[i])
- g('set title "Raw pitch accuracy (%) against midi note numbers"')
- g('set noxtics')
- g('set noytics')
- g('set size %f,%f' % (1.,.15*height))
- g('set origin 0,%f' % 0)
- g('set yrange [40:50]')
- g('set xrange [%f:%f]' % (notes[0],notes[-1]))
- g.xlabel('')
- g.ylabel('')
- g.plot(whites,blacks)
- g('unset multiplot')
- else:
- g.plot(whites,blacks,*lines)
+++ /dev/null
-#! /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=outplot,extension=extension,options=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)]
-#a = [0 for i in range(hopsize*btstep)]
-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)]
-
-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
- #a[:-hopsize] = [i for i in a[-(btstep-1)*hopsize:]]
- #a[-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)]
- if printframe == nrframe or printframe == -1:
- d = [[plotdata(range(-winlen,0),dfframe,plottitle="onset detection", with='lines')]]
- # 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)]
- if not timesig:
- numelem = 4
- else:
- numelem = timesig
-
- old = 0
- acfout = [0 for i in range(winlen/4)]
- for i in range(1,laglen-1):
- for a in range(1,numelem+1):
- for b in range (1-a,a):
- acfout[i] += acframe[a*(i+1)+b-1] * 1./(2.*a-1.)*rwv[i]
- if old < acfout[i]:
- old = acfout[i]
- maxi = i
- rp = max(maxi,1);
-
- if printframe == nrframe or printframe == -1:
- rwvs = [rwv[i]*max(acframe) for i in range(len(rwv))]
- d += [[plotdata(acx,acfout,plottitle="comb filterbank", with='lines', axes='x1y1'),
- plotdata([rp,rp],[1.2*old,min(acfout)],plottitle="period", with='impulses', axes='x1y1'),
- plotdata(acx,rwvs,plottitle="L_w", with='lines', axes='x1y1')]]
-
- # getperiod
- inds = [0 for i in range(maxnumelem)]
- localacf = [0 for i in range(winlen)]
- period = 0
- for a in range(1,4+1):
- for b in range(1-a,a):
- localacf[a*rp+b-1] = acframe[a*rp+b-1]
- for i in range(numelem):
- maxindex = 0
- maxval = 0.0
- for j in range(rp*(i+1)+i):
- if localacf[j] > maxval:
- maxval = localacf[j]
- maxind = j
- localacf[j] = 0
- inds[i] = maxind
- for i in range(numelem):
- period += inds[i]/(i+1.)
- period = period/numelem
- #print "period", period
-
- # checkstate
- if gp:
- # context dependant model
- acfout = [0 for i in range(winlen/4)]
- old = 0
- for i in range(laglen-1):
- for a in range(timesig):
- for b in range(1-a,a):
- acfout[i] += acframe[a*(i+1)+b-1] * gwv[i]
- if old < acfout[i]:
- old = acfout[i]
- maxi = i
- gp = maxi
- else:
- # general model
- gp = 0
- #print "gp", gp
- if printframe == nrframe or printframe == -1:
- gwvs = [gwv[i]*max(acfout) for i in range(len(gwv))]
- d += [[plotdata(acx,acfout,plottitle="comb filterbank", with='lines', axes='x1y1'),
- plotdata(gp,old,plottitle="period", with='impulses', axes='x1y1'),
- plotdata(acx,gwvs,plottitle="L_{gw}", with='lines', axes='x1y1')]]
-
- if counter == 0:
- # initial step
- if abs(gp-rp) > 2.*constthresh:
- flagstep = 1
- counter = 3
- else:
- flagstep = 0
- #print "flagstep", flagstep
- #print "rp2,rp1,rp", rp2,rp1,rp
- acfw = [dfframe[i]*dfwv[i] for i in range(winlen)]
-
- if counter == 1 and flagstep == 1:
- # "3rd frame after flagstep set"
- if abs(2.*rp-rp1- rp2) < constthresh:
- flagconst = 1
- counter = 0
- else:
- flagconst = 0
- counter = 2
- elif counter > 0:
- counter -= 1
-
- rp2 = rp1; rp1 = rp
-
- if flagconst:
- # "first run of new hypothesis"
- gp = rp
- g_mu = gp
- timesig = 4 #FIXME
- gwv = [exp(-.5*(j+1.-g_mu)**2/g_var**2) for j in range(laglen)]
- flagconst = 0
- bp = gp
- phwv = [1 for i in range(2*laglen)]
- elif timesig:
- # "contex dependant"
- bp = gp
- if step > lastbeat:
- phwv = [exp(-.5*(1.+j-step+lastbeat)**2/(bp/8.)) for j in range(2*laglen)]
- else:
- print "NOT using phase weighting"
- phwv = [1 for i in range(2*laglen)]
- else:
- # "initial state"
- bp = rp
- phwv = [1 for i in range(2*laglen)]
-
- while bp < 25:
- print "WARNING, doubling the beat period"
- bp *= 2
-
- #
- phout = [0. for i in range(winlen)]
-
- kmax = int(winlen/float(bp));
-
- old = 0
- for i in range(bp):
- phout[i] = 0.
- for k in range(kmax):
- phout[i] += dfrev[i+bp*k] * phwv[i]
- if phout[i] > old:
- old = phout[i]
- maxi = i
- maxindex = maxi
- if (maxindex == winlen - 1): maxindex = 0
- phase = 1 + maxindex
- i = 1
- beat = bp - phase
- beats= []
- if beat >= 0: beats.append(beat)
- while beat+bp < step:
- beat += bp
- beats.append(beat)
- lastbeat = beat
- #print beats,
- #print "the lastbeat is", lastbeat
-
- # plot all this
- if printframe == nrframe or printframe == -1:
- phwvs = [phwv[i]*max(phout) for i in range(len(phwv))]
- d += [[plotdata(range(-laglen,0),phwvs[laglen:0:-1],plottitle="A_{gw}", with='lines',axes='x1y1'),
- plotdata(range(-laglen,0),phout[laglen:0:-1],plottitle="df", with='lines'),
- plotdata(-phase,old,plottitle="phase", with='impulses', axes='x1y1'),
- plotdata([i for i in beats],[old for i in beats],plottitle="predicted", with='impulses')
- ]]
- #d += [[plotdata(dfx,dfwv,plottitle="phase weighting", with='lines', axes='x1y2'),
- # plotdata(dfx,dfrev,plottitle="df reverse", with='lines', axes='x1y1')]]
- #d += [[plotdata(dfx,phout,plottitle="phase", with='lines', axes='x1y2')]]
- #d += [[plotdata(dfx,dfwv,plottitle="phase weighting", with='lines', axes='x1y2'),
- # plotdata(dfx,dfrev,plottitle="df reverse", with='lines', axes='x1y1')]]
- #d += [[plotdata(dfx,phout,plottitle="phase", with='lines', axes='x1y2')]]
-
- 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]' % (-winlen,0) )
- f.title('Onset detection function')
- f.xlabel('time (df samples)')
- f.plot(*d[0])
- f('set size %f,%f' % (0.5*xsize,0.33*ysize) )
- f('set orig %f,%f' % (0.0*xsize,0.33*ysize) )
- f('set xrange [%f:%f]' % (0,laglen) )
- f.title('Period detection: Rayleygh weighting')
- f.xlabel('lag (df samples)')
- f.plot(*d[1])
- f('set size %f,%f' % (0.5*xsize,0.33*ysize) )
- f('set orig %f,%f' % (0.5*xsize,0.33*ysize) )
- f('set xrange [%f:%f]' % (0,laglen) )
- f.title('Period detection: Gaussian weighting')
- f.xlabel('lag (df samples)')
- f.plot(*d[2])
- 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]' % (-laglen,laglen) )
- f.title('Phase detection and predicted beats')
- f.xlabel('time (df samples)')
- f.plot(*d[3])
- f('set nomultiplot')
- if printframe == -1: a = sys.stdin.read()
- elif 0 < printframe and printframe < nrframe:
- break
+++ /dev/null
-#! /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
+++ /dev/null
-from template import program_test_case
-
-class aubioonset_unit(program_test_case):
-
- import os.path
- filename = os.path.join('..','..','sounds','woodblock.aiff')
- progname = os.path.join('..','..','examples','aubioonset')
-
- def test_aubioonset_with_inf_silence(self):
- """ test aubioonset with -s 0 """
- self.command += " -s 0"
- self.getOutput()
- assert len(self.output) == 0, self.output
-
-class aubioonset_unit_finds_onset(aubioonset_unit):
-
- def test_aubioonset(self):
- """ test aubioonset with default parameters """
- self.getOutput()
- assert len(str(self.output)) != 0, "no output produced with command:\n" \
- + self.command
-
- def test_aubioonset_with_no_silence(self):
- """ test aubioonset with -s -100 """
- self.command += " -s -100 "
- self.getOutput()
- # only one onset in woodblock.aiff
- self.assertNotEqual(0, len(str(self.output)), \
- "no output produced with command:\n" + self.command)
- self.assertEqual(1, len(self.output.split('\n')) )
- # onset should be at 0.00000
- self.assertEqual(0, float(self.output.strip()))
-
-list_of_onset_modes = ["energy", "specdiff", "hfc", "complex", "phase", \
- "kl", "mkl", "specflux"]
-
-for name in list_of_onset_modes:
- exec("class aubioonset_"+name+"_unit(aubioonset_unit):\n\
- options = \" -O "+name+" \"")
-
-if __name__ == '__main__': unittest.main()
+++ /dev/null
-from template import *
-
-import os.path
-
-class aubiopitch_test_case(program_test_case):
-
- import os.path
- filename = os.path.join('..','..','sounds','woodblock.aiff')
- progname = "PYTHONPATH=../../python:../../python/aubio/.libs " + \
- os.path.join('..','..','python','aubiopitch')
-
- def test_aubiopitch(self):
- """ test aubiopitch with default parameters """
- self.getOutput()
- # FIXME: useless check
- self.assertEqual(len(self.output.split('\n')), 1)
- #self.assertEqual(float(self.output.strip()), 0.)
-
- def test_aubiopitch_verbose(self):
- """ test aubiopitch with -v parameter """
- self.command += " -v "
- self.getOutput()
- # FIXME: loose checking: make sure at least 8 lines are printed
- assert len(self.output) >= 8
-
- def test_aubiopitch_devnull(self):
- """ test aubiopitch on /dev/null """
- self.filename = "/dev/null"
- # exit status should not be 0
- self.getOutput(expected_status = 256)
- # and there should be an error message
- assert len(self.output) > 0
- # that looks like this
- output_lines = self.output.split('\n')
- #assert output_lines[0] == "Unable to open input file /dev/null."
- #assert output_lines[1] == "Supported file format but file is malformed."
- #assert output_lines[2] == "Could not open input file /dev/null."
-
-mode_names = ["yinfft", "yin", "fcomb", "mcomb", "schmitt"]
-for name in mode_names:
- exec("class aubiopitch_test_case_" + name + "(aubiopitch_test_case):\n\
- options = \" -m " + name + " \"")
-
-class aubiopitch_test_yinfft(program_test_case):
-
- filename = os.path.join('..','..','sounds','16568__acclivity__TwoCows.wav')
- url = "http://www.freesound.org/samplesViewSingle.php?id=16568"
- progname = "PYTHONPATH=../../python:../../python/aubio/.libs " + \
- os.path.join('..','..','python','aubiopitch')
- options = " -m yinfft -t 0.75 "
-
- def test_aubiopitch(self):
- """ test aubiopitch with default parameters """
- if not os.path.isfile(self.filename):
- print "Warning: file 16568_acclivity_TwoCows.wav was not found in %s" % os.path.dirname(self.filename)
- print "download it from %s to actually run test" % url
- return
- self.getOutput()
- expected_output = open(os.path.join('examples','aubiopitch','yinfft'+'.'+os.path.basename(self.filename)+'.txt')).read()
- lines = 0
- for line_out, line_exp in zip(self.output.split('\n'), expected_output.split('\n')):
- try:
- assert line_exp == line_out, line_exp + " vs. " + line_out + " at line " + str(lines)
- except:
- open(os.path.join('examples','aubiopitch','yinfft'+'.'+os.path.basename(self.filename)+'.txt.out'),'w').write(self.output)
- raise
- lines += 1
-
-if __name__ == '__main__': unittest.main()
+++ /dev/null
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projects / aubio.git / commitdiff