ref: c204928f979d4552caf205d4b5975d3b8cf27092
dir: /tests/demo/bench/pitch/bench-pitch-isolated/
#! /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)