| 1 | #! /usr/bin/python |
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| 2 | |
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| 3 | from aubio.bench.node import * |
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| 4 | from aubio.tasks import * |
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| 5 | |
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| 6 | class benchpitch(bench): |
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| 7 | |
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| 8 | """ list of values to store per file """ |
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| 9 | valuenames = ['mode'] |
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| 10 | """ list of lists to store per file """ |
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| 11 | valuelists = ['orig', 'mean', 'med'] |
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| 12 | """ list of values to print per dir """ |
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| 13 | printnames = [ 'mode'] |
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| 14 | |
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| 15 | """ per dir """ |
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| 16 | formats = {'mode': "%12s" , 'thres': "%5.4s", |
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| 17 | 'dist': "%5.4s", 'prec': "%5.4s", 'recl': "%5.4s", |
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| 18 | 'Ttrue': "%5.4s", 'Tfp': "%5.4s", 'Tfn': "%5.4s", |
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| 19 | 'Tm': "%5.4s", 'Td': "%5.4s", |
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| 20 | 'aTtrue':"%5.4s", 'aTfp': "%5.4s", 'aTfn': "%5.4s", |
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| 21 | 'aTm': "%5.4s", 'aTd': "%5.4s", |
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| 22 | 'mean': "%5.40s", 'smean': "%5.40s", |
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| 23 | 'amean': "%5.40s", 'samean': "%5.40s"} |
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| 24 | |
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| 25 | def dir_eval(self): |
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| 26 | """ evaluate statistical data over the directory """ |
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| 27 | v = self.v |
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| 28 | |
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| 29 | v['mode'] = self.params.pitchmode |
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| 30 | |
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| 31 | def file_exec(self,input,output): |
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| 32 | filetask = self.task(input,params=self.params) |
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| 33 | computed_data = filetask.compute_all() |
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| 34 | orig,mean,med = filetask.eval(computed_data) |
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| 35 | |
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| 36 | self.v['orig'].append(orig) |
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| 37 | self.v['mean'].append(mean) |
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| 38 | self.v['med'].append(med) |
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| 39 | #print results#, computed_data |
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| 40 | #print input, results, results - float(input.split('.')[-2]) |
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| 41 | |
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| 42 | def run_bench(self,modes=['schmitt']): |
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| 43 | from os.path import basename |
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| 44 | d = [] |
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| 45 | self.modes = modes |
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| 46 | self.pretty_titles() |
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| 47 | for mode in self.modes: |
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| 48 | self.params.pitchmode = mode |
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| 49 | self.dir_eval_print() |
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| 50 | self.plotpitchtessiture(d, |
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| 51 | self.v['orig'], |
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| 52 | self.v['med'], |
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| 53 | plottitle=self.v['mode'], |
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| 54 | plotmode='points') |
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| 55 | #d.append('beta = .25,orig(x) title \"-2 octave\"') |
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| 56 | d.append('beta = .50,orig(x) title \"-1 octave\"') |
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| 57 | d.append('beta = 1.0,orig(x) title \"original\"') |
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| 58 | d.append('beta = 2.0,orig(x) title \"+1 octave\"') |
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| 59 | title = basename(self.datadir) |
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| 60 | outplot = "_-_".join(('pitchtessiture',title)) |
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| 61 | for ext in ('ps','png','svg',''): |
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| 62 | self.plotplotpitchtessiture(d, |
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| 63 | plottitle=title, |
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| 64 | outplot=outplot, |
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| 65 | extension=ext) |
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| 66 | |
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| 67 | """ |
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| 68 | Plot functions |
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| 69 | """ |
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| 70 | |
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| 71 | def plotpitchtessiture(self,d,lx,ly,plottitle="",plotmode='linespoints'): |
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| 72 | import Gnuplot, Gnuplot.funcutils |
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| 73 | d.append(Gnuplot.Data(lx, ly, with=plotmode, title="%s" % (plottitle) )) |
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| 74 | |
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| 75 | def plotplotpitchtessiture(self,d,plottitle='',outplot=0,extension=''): |
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| 76 | from aubio.gnuplot import gnuplot_create |
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| 77 | g = gnuplot_create(outplot=outplot,extension=extension) |
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| 78 | g.title(plottitle) |
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| 79 | g('orig(x) = beta*x') |
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| 80 | g.xlabel('original pitch (Hz)') |
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| 81 | g.ylabel('detected pitch (Hz)') |
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| 82 | g('set log xy') |
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| 83 | g.plot(*d) |
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| 84 | |
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| 85 | |
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| 86 | if __name__ == "__main__": |
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| 87 | import sys |
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| 88 | if len(sys.argv) > 1: datapath = sys.argv[1] |
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| 89 | else: print "error: a path is required"; sys.exit(1) |
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| 90 | if len(sys.argv) > 2: |
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| 91 | for each in sys.argv[3:-1]: print each |
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| 92 | modes = ['schmitt', 'yin', 'mcomb', 'fcomb'] |
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| 93 | #modes = ['fcomb'] |
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| 94 | |
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| 95 | params = taskparams() |
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| 96 | params.bufsize = 2048 |
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| 97 | params.hopsize = params.bufsize/2 |
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| 98 | benchpitch = benchpitch(datapath,params=params) |
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| 99 | benchpitch.task = taskpitch |
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| 100 | |
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| 101 | #benchpitch.titles = [ 'mode', 'thres', 'avg', 'avgdist' ] |
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| 102 | #benchpitch.formats = ["%12s" , "| %6s", "| %6s", "| %6s", "| %6s", "| %6s" ] |
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| 103 | try: |
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| 104 | benchpitch.run_bench(modes=modes) |
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| 105 | except KeyboardInterrupt: |
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| 106 | print "Interrupted by user" |
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| 107 | sys.exit(1) |
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| 108 | |
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| 109 | sys.exit(0) |
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