1 | #! /usr/bin/python |
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2 | |
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3 | from aubio.bench.node import * |
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4 | from aubio.task import * |
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5 | |
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6 | class benchpitch(bench): |
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7 | |
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8 | """ list of values to store per file """ |
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9 | valuenames = ['mode'] |
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10 | """ list of lists to store per file """ |
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11 | valuelists = ['truth', 'osil', 'esil', 'opit', 'epit', 'echr', |
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12 | 'Msil', 'Mpit', 'Mchr', |
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13 | 'TotalPit', 'TotalPit', 'TotalChr' ] |
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14 | """ list of values to print per dir """ |
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15 | printnames_total = [ 'mode', 'MinPit', 'MaxPit', 'TotalSil', 'TotalPit', 'TotalChr'] |
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16 | printnames_notes = [ 'mode', 'Note', 'Sil', 'Pit', 'Chr'] |
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17 | printnames = printnames_notes |
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18 | |
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19 | """ per dir """ |
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20 | formats = {'mode': "%12s" , |
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21 | 'truth': "%s", |
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22 | 'osil': "%s", 'esil': "%s", |
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23 | 'opit': "%s", 'epit': "%s", 'echr': "%s", |
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24 | 'Note': "%s", 'Sil': "%s", 'Chr': "%s", 'Pit': "%s", |
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25 | 'TotalPit': "%s", 'TotalSil': "%s", 'TotalChr': "%s", |
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26 | 'MinPit': "%s", 'MaxPit': "%s", |
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27 | 'Msil': "%s", 'Mpit': "%s", 'Mchr': "%s"} |
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28 | |
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29 | def dir_eval(self): |
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30 | """ evaluate statistical data over the directory """ |
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31 | v = self.v |
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32 | v['mode'] = self.params.pitchmode |
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33 | |
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34 | def file_exec(self,input,output): |
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35 | filetask = self.task(input,params=self.params) |
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36 | computed_data = filetask.compute_all() |
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37 | osil, esil, opit, epit, echr = filetask.eval(computed_data,tol=0.5) |
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38 | self.v['truth'].append(int(filetask.truth)) |
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39 | assert opit > 0 |
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40 | |
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41 | self.v['osil'].append(osil) |
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42 | self.v['esil'].append(esil) |
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43 | self.v['opit'].append(opit) |
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44 | self.v['epit'].append(epit) |
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45 | self.v['echr'].append(echr) |
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46 | |
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47 | self.v['Msil'].append(esil/float(osil)*100.) |
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48 | self.v['Mpit'].append(epit/float(opit)*100.) |
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49 | self.v['Mchr'].append(echr/float(opit)*100.) |
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50 | #print results#, computed_data |
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51 | #print input, results, results - float(input.split('.')[-2]) |
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52 | |
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53 | def run_bench(self,modes=['schmitt'],multiplot=0): |
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54 | from os.path import basename |
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55 | self.modes = modes |
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56 | self.pretty_titles() |
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57 | d = [] |
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58 | for mode in self.modes: |
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59 | self.params.pitchmode = mode |
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60 | self.dir_exec() |
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61 | self.dir_eval() |
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62 | truth = [i for i in range(min(self.v['truth']),max(self.v['truth'])+1)] |
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63 | allOsil = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)] |
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64 | allEsil = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)] |
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65 | allOpit = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)] |
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66 | allEpit = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)] |
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67 | allEchr = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)] |
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68 | allMsil = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)] |
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69 | allMpit = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)] |
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70 | allMchr = [0 for i in range(min(self.v['truth']),max(self.v['truth'])+1)] |
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71 | for i in range(len(self.v['truth'])): |
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72 | allOsil[self.v['truth'][i]-min(self.v['truth'])] += self.v['osil'][i] |
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73 | allEsil[self.v['truth'][i]-min(self.v['truth'])] += self.v['esil'][i] |
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74 | allOpit[self.v['truth'][i]-min(self.v['truth'])] += self.v['opit'][i] |
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75 | allEpit[self.v['truth'][i]-min(self.v['truth'])] += self.v['epit'][i] |
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76 | allEchr[self.v['truth'][i]-min(self.v['truth'])] += self.v['echr'][i] |
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77 | for i in range(len(truth)): |
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78 | allOsil[i] = max(1,allOsil[i]) |
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79 | allOpit[i] = max(1,allOpit[i]) |
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80 | allMsil[i] = allEsil[i]/float(allOsil[i])*100. |
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81 | allMpit[i] = allEpit[i]/float(allOpit[i])*100. |
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82 | allMchr[i] = allEchr[i]/float(allOpit[i])*100. |
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83 | self.v['Sil'], self.v['Pit'], self.v['Chr'] = allMsil[i], allMpit[i], allMchr[i] |
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84 | self.v['Note'] = truth[i] |
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85 | #self.printnames = self.printnames_notes |
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86 | self.pretty_print() |
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87 | self.v['TotalSil'] = sum(allMsil)/len(truth) |
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88 | self.v['TotalPit'] = sum(allMpit)/len(truth) |
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89 | self.v['TotalChr'] = sum(allMchr)/len(truth) |
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90 | self.v['MinPit'] = min(truth) |
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91 | self.v['MaxPit'] = max(truth) |
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92 | #self.printnames = self.printnames_total |
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93 | #self.pretty_print() |
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94 | |
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95 | plot = [] |
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96 | self.plotpitchtessiture(plot, |
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97 | truth, |
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98 | allMpit, |
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99 | plottitle="%s %s" % (self.v['mode'],self.params.bufsize), |
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100 | plotmode='lines') |
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101 | """ |
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102 | self.plotpitchtessiture(plot, |
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103 | truth, |
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104 | allMchr, |
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105 | plottitle="%s %s" % (self.v['mode'],"%12"), |
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106 | plotmode='lines') |
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107 | self.plotpitchtessiture(plot, |
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108 | truth, |
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109 | allMsil, |
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110 | plottitle="%s %s" % (self.v['mode'],"sil"), |
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111 | plotmode='lines') |
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112 | """ |
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113 | title = basename(self.datadir) |
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114 | if multiplot: |
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115 | d.append(plot) |
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116 | else: |
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117 | d += plot |
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118 | outplot = "_-_".join(('pitchtessiture',title)) |
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119 | self.xmin = min(self.v['truth']) #20. |
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120 | self.xmax = max(self.v['truth']) |
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121 | for ext in ('ps','png','svg'): #,''): |
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122 | self.plotplotpitchtessiture(d, |
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123 | plottitle="".join(['Performance against MIDI Note number (', |
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124 | title, |
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125 | ", %s" % len(self.sndlist), " samples)"]), |
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126 | outplot=outplot, |
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127 | extension=ext,multiplot=multiplot) |
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128 | #d.append('beta = .25,orig(x) title \"-2 octave\"') |
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129 | #d.append('beta = .50,orig(x) title \"-1 octave\"') |
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130 | #d.append('beta = 1.0,orig(x) title \"original\"') |
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131 | #d.append('beta = 2.0,orig(x) title \"+1 octave\"') |
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132 | |
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133 | """ |
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134 | Plot functions |
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135 | """ |
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136 | |
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137 | def plotpitchtessiture(self,d,lx,ly,plottitle="",plotmode='linespoints'): |
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138 | import Gnuplot, Gnuplot.funcutils |
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139 | d.append(Gnuplot.Data(lx, ly, with=plotmode, title="%s" % (plottitle) )) |
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140 | |
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141 | def plotplotpitchtessiture(self,d,plottitle='',outplot=0,extension='',multiplot=1): |
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142 | from aubio.gnuplot import gnuplot_create |
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143 | g = gnuplot_create(outplot=outplot,extension=extension) |
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144 | #g.title(plottitle) |
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145 | #g('orig(x) = beta*x') |
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146 | g.title(plottitle) |
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147 | g('set yrange [50:100]') |
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148 | # erase axis |
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149 | g('set xrange [%f:%f]' % (self.xmin,self.xmax)) #(self.xmax - (self.xmax-self.xmin)*5./4.,self.xmax)) |
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150 | #g.plot(*d) |
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151 | g('set border 3') |
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152 | g('set xtics nomirror') |
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153 | g('set ytics nomirror') |
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154 | g('set key bottom') |
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155 | if multiplot: |
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156 | g('set multiplot') |
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157 | for i in range(len(d)): |
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158 | # plot onset detection functions |
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159 | g('set size 1,%f' % ( 1.0/float(len(d)) ) ) |
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160 | g('set origin 0,%f' % ( 1.0*float(len(d)-i-1)/float(len(d)) ) ) |
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161 | #g.ylabel('%Correct detections') |
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162 | g('set xrange [%f:%f]' % (self.xmin,self.xmax)) #(self.xmax - (self.xmax-self.xmin)*5./4.,self.xmax)) |
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163 | g.plot(*d[i]) |
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164 | g('unset title') |
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165 | g('unset multiplot') |
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166 | else: |
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167 | g.plot(*d) |
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168 | |
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169 | |
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170 | if __name__ == "__main__": |
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171 | import sys |
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172 | if len(sys.argv) > 1: datapath = sys.argv[1] |
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173 | else: print "error: a path is required"; sys.exit(1) |
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174 | if len(sys.argv) > 2: |
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175 | for each in sys.argv[3:-1]: print each |
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176 | modes = ['schmitt', 'yin', 'yinfft', 'mcomb', 'fcomb'] |
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177 | #modes = ['mcomb'] |
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178 | |
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179 | params = taskparams() |
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180 | params.bufsize = 2048 # 4096 |
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181 | params.hopsize = 256 |
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182 | params.silence = -60. |
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183 | params.pitchsmooth = 0 |
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184 | params.pitchmax = 20000 |
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185 | params.pitchmin = 20 |
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186 | params.pitchyinfft = 0.95 |
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187 | benchpitch = benchpitch(datapath,params=params) |
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188 | benchpitch.task = taskpitch |
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189 | |
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190 | #benchpitch.titles = [ 'mode', 'thres', 'avg', 'avgdist' ] |
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191 | #benchpitch.formats = ["%12s" , "| %6s", "| %6s", "| %6s", "| %6s", "| %6s" ] |
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192 | try: |
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193 | benchpitch.run_bench(modes=modes) |
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194 | except KeyboardInterrupt: |
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195 | print "Interrupted by user" |
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196 | sys.exit(1) |
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197 | |
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198 | sys.exit(0) |
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