ref: a52d3ae4c6d2ae1872739d5dbb12b2488bbe9c67
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)