source: python.old/tests_demo_bench/onset/bench-window @ a79ec76

#! /usr/bin/python

from aubio.bench.onset import benchonset
from aubio.task.onset import taskonset
from aubio.task.params import taskparams

class mybenchonset(benchonset):

        def run_bench(self,modes=['dual'],thresholds=[0.5]):
                from os.path import dirname,basename
                self.thresholds = thresholds
                self.pretty_titles()

                for mode in modes:

                        self.params.onsetmode = mode
                        self.params.localmin = True
                        self.params.delay = 1. 
                        self.params.threshold = thresholds[0]
                        self.params.localmin = False 
                        #
                        for delay in (0., 4.):
                                d = []
                                self.params.delay = delay 
                                for buf in (2048, 1024, 512):
                                        for hop in (buf/2, buf/4):
                                                self.params.bufsize = buf 
                                                self.params.hopsize = hop 
                                                self.params.step = float(self.params.hopsize)/float(self.params.samplerate)
                                                self.dir_eval_print()
                                                self.plotdiffs(d,plottitle="%s %s" % (buf,hop))
                                #plotplotdiffs(d)
                                outplot = "_-_".join(("window",mode,"delay-%s" % int(delay),
                                        basename(self.datadir) ))
                                for ext in ("png","svg","ps"):
                                        self.plotplotdiffs(d,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.task = taskonset
        benchonset.valuesdict = {}

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