source: python/test/bench/onset/bench-onset @ 9abd0f3

#! /usr/bin/python

from aubio.task import *

from aubio.bench.onset import mmean, stdev, benchonset

class mybenchonset(benchonset):

        def run_bench(self,modes=['dual'],thresholds=[0.5]):
                from os.path import dirname,basename
                self.thresholds = thresholds
                self.pretty_titles()
                d,e,f,g = [],[],[],[]
                for mode in modes:
                        self.vlist = []
                        self.params.onsetmode = mode
                        #self.params.localmin = True

                        for threshold in self.thresholds:
                                self.params.threshold = threshold
                                self.dir_eval_print()
                                self.vlist.append(self.v)
                        self.plotroc(d)
                        self.plotfmeas(e)
                        self.plotpr(f)
                        #self.plothistcat(g)



                #self.plotplotroc(d)
                #self.plotplotfmeas(e)
                #self.plotplotpr(f)
                outplot = basename(self.datadir)
                for ext in ("png","svg","ps"):
                        self.plotplotroc(d,outplot=outplot,extension=ext)
                        self.plotplotfmeas(e,outplot=outplot,extension=ext)
                        self.plotplotpr(f,outplot=outplot,extension=ext)
                        #self.plotplothistcat(g,outplot=outplot,extension=ext)

if __name__ == "__main__":
        import sys
        if len(sys.argv) > 1: datapath = sys.argv[1]
        else: print "ERR: a path is required"; sys.exit(1)
        modes = ['complex', 'energy', 'phase', 'hfc', 'specdiff', 'kl', 'mkl', 'dual']
        thresholds = [ 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2]
        #modes = [ 'hfc' ]
        #thresholds = [0.5]

        #datapath = "%s%s" % (DATADIR,'/onset/DB/*/')
        respath = '/var/tmp/DB-testings'

        benchonset = mybenchonset(datapath,respath,checkres=True,checkanno=True)
        benchonset.params = taskparams()
        benchonset.params.dcthreshold = -1.
        benchonset.params.silence = -100.
        benchonset.params.delay = 5. 
        benchonset.params.bufsize = 1024 
        benchonset.params.hopsize = 256 
        benchonset.params.step = float(benchonset.params.hopsize)/float(benchonset.params.samplerate)
        benchonset.params.mintol = 4.1 
        benchonset.task = taskonset
        benchonset.valuesdict = {}

        try:
                #benchonset.auto_learn2(modes=modes)
                benchonset.run_bench(modes=modes,thresholds=thresholds)
        except KeyboardInterrupt:
                sys.exit(1)