ref: 83c67348be306b34e1783ba44972675c9e33df30
dir: /python/test/bench/onset/bench-window/
#! /usr/bin/python
from aubio.tasks import *
from benchonset import mmean, stdev, plotdiffs, plotplotdiffs, 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()
for mode in modes:
self.params.onsetmode = mode
self.params.threshold = thresholds[0]
self.params.localmin = False
for delay in (0., 4.):
d = []
outplot = "_-_".join(("window",mode,"delay-%s" % delay,
basename(self.datadir) ))
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_exec()
self.dir_eval()
self.pretty_print()
plotdiffs(self.v,d,plottitle="%s %s" % (buf,hop))
plotplotdiffs(d)
plotplotdiffs(d,outplot=outplot,extension="png")
plotplotdiffs(d,outplot=outplot,extension="ps")
plotplotdiffs(d,outplot=outplot,extension="svg")
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', 'specdiff', 'kl', 'mkl', 'dual']
#modes = [ 'complex' ]
thresholds = [ 0.5]
#thresholds = [1.5]
#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)