| 1 | |
|---|
| 2 | from aubio.bench.node import * |
|---|
| 3 | from os.path import dirname,basename |
|---|
| 4 | |
|---|
| 5 | def mmean(l): |
|---|
| 6 | return sum(l)/max(float(len(l)),1) |
|---|
| 7 | |
|---|
| 8 | def stdev(l): |
|---|
| 9 | smean = 0 |
|---|
| 10 | if not len(l): return smean |
|---|
| 11 | lmean = mmean(l) |
|---|
| 12 | for i in l: |
|---|
| 13 | smean += (i-lmean)**2 |
|---|
| 14 | smean *= 1. / len(l) |
|---|
| 15 | return smean**.5 |
|---|
| 16 | |
|---|
| 17 | class benchonset(bench): |
|---|
| 18 | |
|---|
| 19 | """ list of values to store per file """ |
|---|
| 20 | valuenames = ['orig','missed','Tm','expc','bad','Td'] |
|---|
| 21 | """ list of lists to store per file """ |
|---|
| 22 | valuelists = ['l','labs'] |
|---|
| 23 | """ list of values to print per dir """ |
|---|
| 24 | printnames = [ 'mode', 'thres', 'dist', 'prec', 'recl', |
|---|
| 25 | 'GD', 'FP', |
|---|
| 26 | 'Torig', 'Ttrue', 'Tfp', 'Tfn', 'TTm', 'TTd', |
|---|
| 27 | 'aTtrue', 'aTfp', 'aTfn', 'aTm', 'aTd', |
|---|
| 28 | 'mean', 'smean', 'amean', 'samean'] |
|---|
| 29 | |
|---|
| 30 | """ per dir """ |
|---|
| 31 | formats = {'mode': "%12s" , 'thres': "%5.4s", |
|---|
| 32 | 'dist': "%5.4s", 'prec': "%5.4s", 'recl': "%5.4s", |
|---|
| 33 | 'Torig': "%5.4s", 'Ttrue': "%5.4s", 'Tfp': "%5.4s", 'Tfn': "%5.4s", |
|---|
| 34 | 'TTm': "%5.4s", 'TTd': "%5.4s", |
|---|
| 35 | 'aTtrue':"%5.4s", 'aTfp': "%5.4s", 'aTfn': "%5.4s", |
|---|
| 36 | 'aTm': "%5.4s", 'aTd': "%5.4s", |
|---|
| 37 | 'mean': "%5.6s", 'smean': "%5.6s", |
|---|
| 38 | 'amean': "%5.6s", 'samean': "%5.6s", |
|---|
| 39 | "GD": "%5.4s", "FP": "%5.4s", |
|---|
| 40 | "GDm": "%5.4s", "FPd": "%5.4s", |
|---|
| 41 | "bufsize": "%5.4s", "hopsize": "%5.4s", |
|---|
| 42 | "time": "%5.4s"} |
|---|
| 43 | |
|---|
| 44 | def dir_eval(self): |
|---|
| 45 | """ evaluate statistical data over the directory """ |
|---|
| 46 | v = self.v |
|---|
| 47 | |
|---|
| 48 | v['mode'] = self.params.onsetmode |
|---|
| 49 | v['thres'] = self.params.threshold |
|---|
| 50 | v['bufsize'] = self.params.bufsize |
|---|
| 51 | v['hopsize'] = self.params.hopsize |
|---|
| 52 | v['silence'] = self.params.silence |
|---|
| 53 | v['mintol'] = self.params.mintol |
|---|
| 54 | |
|---|
| 55 | v['Torig'] = sum(v['orig']) |
|---|
| 56 | v['TTm'] = sum(v['Tm']) |
|---|
| 57 | v['TTd'] = sum(v['Td']) |
|---|
| 58 | v['Texpc'] = sum(v['expc']) |
|---|
| 59 | v['Tbad'] = sum(v['bad']) |
|---|
| 60 | v['Tmissed'] = sum(v['missed']) |
|---|
| 61 | v['aTm'] = mmean(v['Tm']) |
|---|
| 62 | v['aTd'] = mmean(v['Td']) |
|---|
| 63 | |
|---|
| 64 | v['mean'] = mmean(v['l']) |
|---|
| 65 | v['smean'] = stdev(v['l']) |
|---|
| 66 | |
|---|
| 67 | v['amean'] = mmean(v['labs']) |
|---|
| 68 | v['samean'] = stdev(v['labs']) |
|---|
| 69 | |
|---|
| 70 | # old type calculations |
|---|
| 71 | # good detection rate |
|---|
| 72 | v['GD'] = 100.*(v['Torig']-v['Tmissed']-v['TTm'])/v['Torig'] |
|---|
| 73 | # false positive rate |
|---|
| 74 | v['FP'] = 100.*(v['Tbad']+v['TTd'])/v['Torig'] |
|---|
| 75 | # good detection counting merged detections as good |
|---|
| 76 | v['GDm'] = 100.*(v['Torig']-v['Tmissed'])/v['Torig'] |
|---|
| 77 | # false positives counting doubled as good |
|---|
| 78 | v['FPd'] = 100.*v['Tbad']/v['Torig'] |
|---|
| 79 | |
|---|
| 80 | # mirex type annotations |
|---|
| 81 | totaltrue = v['Texpc']-v['Tbad']-v['TTd'] |
|---|
| 82 | totalfp = v['Tbad']+v['TTd'] |
|---|
| 83 | totalfn = v['Tmissed']+v['TTm'] |
|---|
| 84 | self.v['Ttrue'] = totaltrue |
|---|
| 85 | self.v['Tfp'] = totalfp |
|---|
| 86 | self.v['Tfn'] = totalfn |
|---|
| 87 | # average over the number of annotation files |
|---|
| 88 | N = float(len(self.reslist)) |
|---|
| 89 | self.v['aTtrue'] = totaltrue/N |
|---|
| 90 | self.v['aTfp'] = totalfp/N |
|---|
| 91 | self.v['aTfn'] = totalfn/N |
|---|
| 92 | |
|---|
| 93 | # F-measure |
|---|
| 94 | self.P = 100.*float(totaltrue)/max(totaltrue + totalfp,1) |
|---|
| 95 | self.R = 100.*float(totaltrue)/max(totaltrue + totalfn,1) |
|---|
| 96 | #if self.R < 0: self.R = 0 |
|---|
| 97 | self.F = 2.* self.P*self.R / max(float(self.P+self.R),1) |
|---|
| 98 | self.v['dist'] = self.F |
|---|
| 99 | self.v['prec'] = self.P |
|---|
| 100 | self.v['recl'] = self.R |
|---|
| 101 | |
|---|
| 102 | |
|---|
| 103 | """ |
|---|
| 104 | Plot functions |
|---|
| 105 | """ |
|---|
| 106 | |
|---|
| 107 | def plotroc(self,d,plottitle=""): |
|---|
| 108 | import Gnuplot, Gnuplot.funcutils |
|---|
| 109 | gd = [] |
|---|
| 110 | fp = [] |
|---|
| 111 | for i in self.vlist: |
|---|
| 112 | gd.append(i['GD']) |
|---|
| 113 | fp.append(i['FP']) |
|---|
| 114 | d.append(Gnuplot.Data(fp, gd, with='linespoints', |
|---|
| 115 | title="%s %s" % (plottitle,i['mode']) )) |
|---|
| 116 | |
|---|
| 117 | def plotplotroc(self,d,outplot=0,extension='ps'): |
|---|
| 118 | import Gnuplot, Gnuplot.funcutils |
|---|
| 119 | from sys import exit |
|---|
| 120 | g = Gnuplot.Gnuplot(debug=0, persist=1) |
|---|
| 121 | if outplot: |
|---|
| 122 | if extension == 'ps': ext, extension = '.ps' , 'postscript' |
|---|
| 123 | elif extension == 'png': ext, extension = '.png', 'png' |
|---|
| 124 | elif extension == 'svg': ext, extension = '.svg', 'svg' |
|---|
| 125 | else: exit("ERR: unknown plot extension") |
|---|
| 126 | g('set terminal %s' % extension) |
|---|
| 127 | g('set output \'roc-%s%s\'' % (outplot,ext)) |
|---|
| 128 | xmax = 30 #max(fp) |
|---|
| 129 | ymin = 50 |
|---|
| 130 | g('set xrange [0:%f]' % xmax) |
|---|
| 131 | g('set yrange [%f:100]' % ymin) |
|---|
| 132 | # grid set |
|---|
| 133 | g('set grid') |
|---|
| 134 | g('set xtics 0,5,%f' % xmax) |
|---|
| 135 | g('set ytics %f,5,100' % ymin) |
|---|
| 136 | g('set key 27,65') |
|---|
| 137 | #g('set format \"%g\"') |
|---|
| 138 | g.title(basename(self.datadir)) |
|---|
| 139 | g.xlabel('false positives (%)') |
|---|
| 140 | g.ylabel('correct detections (%)') |
|---|
| 141 | g.plot(*d) |
|---|
| 142 | |
|---|
| 143 | def plotpr(self,d,plottitle=""): |
|---|
| 144 | import Gnuplot, Gnuplot.funcutils |
|---|
| 145 | x = [] |
|---|
| 146 | y = [] |
|---|
| 147 | for i in self.vlist: |
|---|
| 148 | x.append(i['prec']) |
|---|
| 149 | y.append(i['recl']) |
|---|
| 150 | d.append(Gnuplot.Data(x, y, with='linespoints', |
|---|
| 151 | title="%s %s" % (plottitle,i['mode']) )) |
|---|
| 152 | |
|---|
| 153 | def plotplotpr(self,d,outplot=0,extension='ps'): |
|---|
| 154 | import Gnuplot, Gnuplot.funcutils |
|---|
| 155 | from sys import exit |
|---|
| 156 | g = Gnuplot.Gnuplot(debug=0, persist=1) |
|---|
| 157 | if outplot: |
|---|
| 158 | if extension == 'ps': ext, extension = '.ps' , 'postscript' |
|---|
| 159 | elif extension == 'png': ext, extension = '.png', 'png' |
|---|
| 160 | elif extension == 'svg': ext, extension = '.svg', 'svg' |
|---|
| 161 | else: exit("ERR: unknown plot extension") |
|---|
| 162 | g('set terminal %s' % extension) |
|---|
| 163 | g('set output \'pr-%s%s\'' % (outplot,ext)) |
|---|
| 164 | g.title(basename(self.datadir)) |
|---|
| 165 | g.xlabel('Recall (%)') |
|---|
| 166 | g.ylabel('Precision (%)') |
|---|
| 167 | g.plot(*d) |
|---|
| 168 | |
|---|
| 169 | def plotfmeas(self,d,plottitle=""): |
|---|
| 170 | import Gnuplot, Gnuplot.funcutils |
|---|
| 171 | x,y = [],[] |
|---|
| 172 | for i in self.vlist: |
|---|
| 173 | x.append(i['thres']) |
|---|
| 174 | y.append(i['dist']) |
|---|
| 175 | d.append(Gnuplot.Data(x, y, with='linespoints', |
|---|
| 176 | title="%s %s" % (plottitle,i['mode']) )) |
|---|
| 177 | |
|---|
| 178 | def plotplotfmeas(self,d,outplot="",extension='ps', title="F-measure"): |
|---|
| 179 | import Gnuplot, Gnuplot.funcutils |
|---|
| 180 | from sys import exit |
|---|
| 181 | g = Gnuplot.Gnuplot(debug=0, persist=1) |
|---|
| 182 | if outplot: |
|---|
| 183 | if extension == 'ps': terminal = 'postscript' |
|---|
| 184 | elif extension == 'png': terminal = 'png' |
|---|
| 185 | elif extension == 'svg': terminal = 'svg' |
|---|
| 186 | else: exit("ERR: unknown plot extension") |
|---|
| 187 | g('set terminal %s' % terminal) |
|---|
| 188 | g('set output \'fmeas-%s.%s\'' % (outplot,extension)) |
|---|
| 189 | g.xlabel('threshold \\delta') |
|---|
| 190 | g.ylabel('F-measure (%)') |
|---|
| 191 | g('set xrange [0:1.2]') |
|---|
| 192 | g('set yrange [0:100]') |
|---|
| 193 | g.title(basename(self.datadir)) |
|---|
| 194 | # grid set |
|---|
| 195 | #g('set grid') |
|---|
| 196 | #g('set xtics 0,5,%f' % xmax) |
|---|
| 197 | #g('set ytics %f,5,100' % ymin) |
|---|
| 198 | #g('set key 27,65') |
|---|
| 199 | #g('set format \"%g\"') |
|---|
| 200 | g.plot(*d) |
|---|
| 201 | |
|---|
| 202 | def plotfmeasvar(self,d,var,plottitle=""): |
|---|
| 203 | import Gnuplot, Gnuplot.funcutils |
|---|
| 204 | x,y = [],[] |
|---|
| 205 | for i in self.vlist: |
|---|
| 206 | x.append(i[var]) |
|---|
| 207 | y.append(i['dist']) |
|---|
| 208 | d.append(Gnuplot.Data(x, y, with='linespoints', |
|---|
| 209 | title="%s %s" % (plottitle,i['mode']) )) |
|---|
| 210 | |
|---|
| 211 | def plotplotfmeasvar(self,d,var,outplot="",extension='ps', title="F-measure"): |
|---|
| 212 | import Gnuplot, Gnuplot.funcutils |
|---|
| 213 | from sys import exit |
|---|
| 214 | g = Gnuplot.Gnuplot(debug=0, persist=1) |
|---|
| 215 | if outplot: |
|---|
| 216 | if extension == 'ps': terminal = 'postscript' |
|---|
| 217 | elif extension == 'png': terminal = 'png' |
|---|
| 218 | elif extension == 'svg': terminal = 'svg' |
|---|
| 219 | else: exit("ERR: unknown plot extension") |
|---|
| 220 | g('set terminal %s' % terminal) |
|---|
| 221 | g('set output \'fmeas-%s.%s\'' % (outplot,extension)) |
|---|
| 222 | g.xlabel(var) |
|---|
| 223 | g.ylabel('F-measure (%)') |
|---|
| 224 | #g('set xrange [0:1.2]') |
|---|
| 225 | g('set yrange [0:100]') |
|---|
| 226 | g.title(basename(self.datadir)) |
|---|
| 227 | g.plot(*d) |
|---|
| 228 | |
|---|
| 229 | def plotdiffs(self,d,plottitle=""): |
|---|
| 230 | import Gnuplot, Gnuplot.funcutils |
|---|
| 231 | v = self.v |
|---|
| 232 | l = v['l'] |
|---|
| 233 | mean = v['mean'] |
|---|
| 234 | smean = v['smean'] |
|---|
| 235 | amean = v['amean'] |
|---|
| 236 | samean = v['samean'] |
|---|
| 237 | val = [] |
|---|
| 238 | per = [0] * 100 |
|---|
| 239 | for i in range(0,100): |
|---|
| 240 | val.append(i*.001-.05) |
|---|
| 241 | for j in l: |
|---|
| 242 | if abs(j-val[i]) <= 0.001: |
|---|
| 243 | per[i] += 1 |
|---|
| 244 | total = v['Torig'] |
|---|
| 245 | for i in range(len(per)): per[i] /= total/100. |
|---|
| 246 | |
|---|
| 247 | d.append(Gnuplot.Data(val, per, with='fsteps', |
|---|
| 248 | title="%s %s" % (plottitle,v['mode']) )) |
|---|
| 249 | #d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (mean,smean)) |
|---|
| 250 | #d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (amean,samean)) |
|---|
| 251 | |
|---|
| 252 | |
|---|
| 253 | def plotplotdiffs(self,d,outplot=0,extension='ps'): |
|---|
| 254 | import Gnuplot, Gnuplot.funcutils |
|---|
| 255 | from sys import exit |
|---|
| 256 | g = Gnuplot.Gnuplot(debug=0, persist=1) |
|---|
| 257 | if outplot: |
|---|
| 258 | if extension == 'ps': ext, extension = '.ps' , 'postscript' |
|---|
| 259 | elif extension == 'png': ext, extension = '.png', 'png' |
|---|
| 260 | elif extension == 'svg': ext, extension = '.svg', 'svg' |
|---|
| 261 | else: exit("ERR: unknown plot extension") |
|---|
| 262 | g('set terminal %s' % extension) |
|---|
| 263 | g('set output \'diffhist-%s%s\'' % (outplot,ext)) |
|---|
| 264 | g('eps(x) = 1./(sigma*(2.*3.14159)**.5) * exp ( - ( x - mean ) ** 2. / ( 2. * sigma ** 2. ))') |
|---|
| 265 | g.title(basename(self.datadir)) |
|---|
| 266 | g.xlabel('delay to hand-labelled onset (s)') |
|---|
| 267 | g.ylabel('% number of correct detections / ms ') |
|---|
| 268 | g('set xrange [-0.05:0.05]') |
|---|
| 269 | g('set yrange [0:20]') |
|---|
| 270 | g.plot(*d) |
|---|
| 271 | |
|---|
| 272 | |
|---|
| 273 | def plothistcat(self,d,plottitle=""): |
|---|
| 274 | import Gnuplot, Gnuplot.funcutils |
|---|
| 275 | total = v['Torig'] |
|---|
| 276 | for i in range(len(per)): per[i] /= total/100. |
|---|
| 277 | |
|---|
| 278 | d.append(Gnuplot.Data(val, per, with='fsteps', |
|---|
| 279 | title="%s %s" % (plottitle,v['mode']) )) |
|---|
| 280 | #d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (mean,smean)) |
|---|
| 281 | #d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (amean,samean)) |
|---|
| 282 | |
|---|
| 283 | |
|---|
| 284 | def plotplothistcat(self,d,outplot=0,extension='ps'): |
|---|
| 285 | import Gnuplot, Gnuplot.funcutils |
|---|
| 286 | from sys import exit |
|---|
| 287 | g = Gnuplot.Gnuplot(debug=0, persist=1) |
|---|
| 288 | if outplot: |
|---|
| 289 | if extension == 'ps': ext, extension = '.ps' , 'postscript' |
|---|
| 290 | elif extension == 'png': ext, extension = '.png', 'png' |
|---|
| 291 | elif extension == 'svg': ext, extension = '.svg', 'svg' |
|---|
| 292 | else: exit("ERR: unknown plot extension") |
|---|
| 293 | g('set terminal %s' % extension) |
|---|
| 294 | g('set output \'diffhist-%s%s\'' % (outplot,ext)) |
|---|
| 295 | g('eps(x) = 1./(sigma*(2.*3.14159)**.5) * exp ( - ( x - mean ) ** 2. / ( 2. * sigma ** 2. ))') |
|---|
| 296 | g.title(basename(self.datadir)) |
|---|
| 297 | g.xlabel('delay to hand-labelled onset (s)') |
|---|
| 298 | g.ylabel('% number of correct detections / ms ') |
|---|
| 299 | g('set xrange [-0.05:0.05]') |
|---|
| 300 | g('set yrange [0:20]') |
|---|
| 301 | g.plot(*d) |
|---|
| 302 | |
|---|
| 303 | |
|---|
