Showing the changes to python/test/bench (1 of 1 file). Show all
Unified · Split
| @@ -0,0 +1,160 @@ | ||
| 1 | +#! /usr/bin/python | |
| 2 | + | |
| 3 | +from aubio.bench.node import * | |
| 4 | +from aubio.tasks import * | |
| 5 | + | |
| 6 | +class benchonset(bench): | |
| 7 | + | |
| 8 | + def dir_eval(self): | |
| 9 | + self.P = 100*float(self.expc-self.missed-self.merged)/(self.expc-self.missed-self.merged + self.bad+self.doubled) | |
| 10 | + self.R = 100*float(self.expc-self.missed-self.merged)/(self.expc-self.missed-self.merged + self.missed+self.merged) | |
| 11 | + if self.R < 0: self.R = 0 | |
| 12 | + self.F = 2* self.P*self.R / (self.P+self.R) | |
| 13 | + | |
| 14 | + self.values = [self.params.onsetmode, | |
| 15 | + "%2.3f" % self.params.threshold, | |
| 16 | + self.orig, | |
| 17 | + self.expc, | |
| 18 | + self.missed, | |
| 19 | + self.merged, | |
| 20 | + self.bad, | |
| 21 | + self.doubled, | |
| 22 | + (self.orig-self.missed-self.merged), | |
| 23 | + "%2.3f" % (100*float(self.orig-self.missed-self.merged)/(self.orig)), | |
| 24 | + "%2.3f" % (100*float(self.bad+self.doubled)/(self.orig)), | |
| 25 | + "%2.3f" % (100*float(self.orig-self.missed)/(self.orig)), | |
| 26 | + "%2.3f" % (100*float(self.bad)/(self.orig)), | |
| 27 | + "%2.3f" % self.P, | |
| 28 | + "%2.3f" % self.R, | |
| 29 | + "%2.3f" % self.F ] | |
| 30 | + | |
| 31 | + def file_exec(self,input,output): | |
| 32 | + filetask = self.task(input,params=self.params) | |
| 33 | + computed_data = filetask.compute_all() | |
| 34 | + results = filetask.eval(computed_data) | |
| 35 | + self.orig += filetask.orig | |
| 36 | + self.missed += filetask.missed | |
| 37 | + self.merged += filetask.merged | |
| 38 | + self.expc += filetask.expc | |
| 39 | + self.bad += filetask.bad | |
| 40 | + self.doubled += filetask.doubled | |
| 41 | + | |
| 42 | + | |
| 43 | + def run_bench(self,modes=['dual'],thresholds=[0.5]): | |
| 44 | + self.modes = modes | |
| 45 | + self.thresholds = thresholds | |
| 46 | + | |
| 47 | + self.pretty_print(self.titles) | |
| 48 | + for mode in self.modes: | |
| 49 | + self.params.onsetmode = mode | |
| 50 | + for threshold in self.thresholds: | |
| 51 | + self.params.threshold = threshold | |
| 52 | + self.dir_exec() | |
| 53 | + self.dir_eval() | |
| 54 | + self.pretty_print(self.values) | |
| 55 | + | |
| 56 | + def auto_learn(self,modes=['dual'],thresholds=[0.1,1.5]): | |
| 57 | + """ simple dichotomia like algorithm to optimise threshold """ | |
| 58 | + self.modes = modes | |
| 59 | + self.pretty_print(self.titles) | |
| 60 | + for mode in self.modes: | |
| 61 | + steps = 10 | |
| 62 | + lesst = thresholds[0] | |
| 63 | + topt = thresholds[1] | |
| 64 | + self.params.onsetmode = mode | |
| 65 | + | |
| 66 | + self.params.threshold = topt | |
| 67 | + self.dir_exec() | |
| 68 | + self.dir_eval() | |
| 69 | + self.pretty_print(self.values) | |
| 70 | + topF = self.F | |
| 71 | + | |
| 72 | + self.params.threshold = lesst | |
| 73 | + self.dir_exec() | |
| 74 | + self.dir_eval() | |
| 75 | + self.pretty_print(self.values) | |
| 76 | + lessF = self.F | |
| 77 | + | |
| 78 | + for i in range(steps): | |
| 79 | + self.params.threshold = ( lesst + topt ) * .5 | |
| 80 | + self.dir_exec() | |
| 81 | + self.dir_eval() | |
| 82 | + self.pretty_print(self.values) | |
| 83 | + if self.F == 100.0 or self.F == topF: | |
| 84 | + print "assuming we converged, stopping" | |
| 85 | + break | |
| 86 | + #elif abs(self.F - topF) < 0.01 : | |
| 87 | + # print "done converging" | |
| 88 | + # break | |
| 89 | + if topF < self.F: | |
| 90 | + #lessF = topF | |
| 91 | + #lesst = topt | |
| 92 | + topF = self.F | |
| 93 | + topt = self.params.threshold | |
| 94 | + elif lessF < self.F: | |
| 95 | + lessF = self.F | |
| 96 | + lesst = self.params.threshold | |
| 97 | + if topt == lesst: | |
| 98 | + lesst /= 2. | |
| 99 | + | |
| 100 | + def auto_learn2(self,modes=['dual'],thresholds=[0.1,1.0]): | |
| 101 | + """ simple dichotomia like algorithm to optimise threshold """ | |
| 102 | + self.modes = modes | |
| 103 | + self.pretty_print(self.titles) | |
| 104 | + for mode in self.modes: | |
| 105 | + steps = 10 | |
| 106 | + step = thresholds[1] | |
| 107 | + curt = thresholds[0] | |
| 108 | + self.params.onsetmode = mode | |
| 109 | + | |
| 110 | + self.params.threshold = curt | |
| 111 | + self.dir_exec() | |
| 112 | + self.dir_eval() | |
| 113 | + self.pretty_print(self.values) | |
| 114 | + curexp = self.expc | |
| 115 | + | |
| 116 | + for i in range(steps): | |
| 117 | + if curexp < self.orig: | |
| 118 | + #print "we found at most less onsets than annotated" | |
| 119 | + self.params.threshold -= step | |
| 120 | + step /= 2 | |
| 121 | + elif curexp > self.orig: | |
| 122 | + #print "we found more onsets than annotated" | |
| 123 | + self.params.threshold += step | |
| 124 | + step /= 2 | |
| 125 | + self.dir_exec() | |
| 126 | + self.dir_eval() | |
| 127 | + curexp = self.expc | |
| 128 | + self.pretty_print(self.values) | |
| 129 | + if self.orig == 100.0 or self.orig == self.expc: | |
| 130 | + print "assuming we converged, stopping" | |
| 131 | + break | |
| 132 | + | |
| 133 | +if __name__ == "__main__": | |
| 134 | + import sys | |
| 135 | + if len(sys.argv) > 1: datapath = sys.argv[1] | |
| 136 | + else: print "ERR: a path is required"; sys.exit(1) | |
| 137 | + modes = ['complex', 'energy', 'phase', 'specdiff', 'kl', 'mkl', 'dual'] | |
| 138 | + #modes = [ 'complex' ] | |
| 139 | + thresholds = [ 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5] | |
| 140 | + #thresholds = [1.5] | |
| 141 | + | |
| 142 | + #datapath = "%s%s" % (DATADIR,'/onset/DB/*/') | |
| 143 | + respath = '/var/tmp/DB-testings' | |
| 144 | + | |
| 145 | + benchonset = benchonset(datapath,respath,checkres=True,checkanno=True) | |
| 146 | + benchonset.params = taskparams() | |
| 147 | + benchonset.task = taskonset | |
| 148 | + | |
| 149 | + benchonset.titles = [ 'mode', 'thres', 'orig', 'expc', 'missd', 'mergd', | |
| 150 | + 'bad', 'doubl', 'corrt', 'GD', 'FP', 'GD-merged', 'FP-pruned', | |
| 151 | + 'prec', 'recl', 'dist' ] | |
| 152 | + benchonset.formats = ["%12s" , "| %6s", "| %6s", "| %6s", "| %6s", "| %6s", | |
| 153 | + "| %6s", "| %6s", "| %6s", "| %8s", "| %8s", "| %8s", "| %8s", | |
| 154 | + "| %6s", "| %6s", "| %6s"] | |
| 155 | + | |
| 156 | + try: | |
| 157 | + benchonset.auto_learn2(modes=modes) | |
| 158 | + #benchonset.run_bench(modes=modes) | |
| 159 | + except KeyboardInterrupt: | |
| 160 | + sys.exit(1) | |