Changeset ee7b9da
- Timestamp:
- Feb 23, 2006, 3:28:35 AM (19 years ago)
- Branches:
- feature/autosink, feature/cnn, feature/cnn_org, feature/constantq, feature/crepe, feature/crepe_org, feature/pitchshift, feature/pydocstrings, feature/timestretch, fix/ffmpeg5, master, pitchshift, sampler, timestretch, yinfft+
- Children:
- 897b455
- Parents:
- 6ae3a77
- File:
-
- 1 edited
Legend:
- Unmodified
- Added
- Removed
-
python/test/bench/pitch/bench-pitch
r6ae3a77 ree7b9da 6 6 class benchpitch(bench): 7 7 8 """ list of values to store per file """ 9 valuenames = ['mode'] 10 """ list of lists to store per file """ 11 valuelists = ['orig', 'mean', 'med'] 12 """ list of values to print per dir """ 13 printnames = [ 'mode'] 14 15 """ per dir """ 16 formats = {'mode': "%12s" , 'thres': "%5.4s", 17 'dist': "%5.4s", 'prec': "%5.4s", 'recl': "%5.4s", 18 'Ttrue': "%5.4s", 'Tfp': "%5.4s", 'Tfn': "%5.4s", 19 'Tm': "%5.4s", 'Td': "%5.4s", 20 'aTtrue':"%5.4s", 'aTfp': "%5.4s", 'aTfn': "%5.4s", 21 'aTm': "%5.4s", 'aTd': "%5.4s", 22 'mean': "%5.40s", 'smean': "%5.40s", 23 'amean': "%5.40s", 'samean': "%5.40s"} 24 25 def dir_eval(self): 26 """ evaluate statistical data over the directory """ 27 v = self.v 28 29 v['mode'] = self.params.pitchmode 30 8 31 def file_exec(self,input,output): 9 32 filetask = self.task(input,params=self.params) 10 33 computed_data = filetask.compute_all() 11 results = filetask.eval(computed_data) 12 self.results.append(results) 13 truth = filetask.gettruth() 34 orig,mean,med = filetask.eval(computed_data) 35 36 self.v['orig'].append(orig) 37 self.v['mean'].append(mean) 38 self.v['med'].append(med) 39 #print results#, computed_data 14 40 #print input, results, results - float(input.split('.')[-2]) 15 self.pretty_print((self.params.pitchmode, truth,16 truth - results[0], results[0],17 truth - results[1], results[1]))18 41 19 42 def run_bench(self,modes=['schmitt']): 43 from os.path import basename 44 d = [] 20 45 self.modes = modes 21 self.pretty_ print(self.titles)46 self.pretty_titles() 22 47 for mode in self.modes: 23 48 self.params.pitchmode = mode 24 self.dir_exec() 25 self.dir_eval() 26 self.dir_plot() 49 self.dir_eval_print() 50 self.plotpitchtessiture(d, 51 self.v['orig'], 52 self.v['med'], 53 plottitle=self.v['mode'], 54 plotmode='points') 55 #d.append('beta = .25,orig(x) title \"-2 octave\"') 56 d.append('beta = .50,orig(x) title \"-1 octave\"') 57 d.append('beta = 1.0,orig(x) title \"original\"') 58 d.append('beta = 2.0,orig(x) title \"+1 octave\"') 59 title = basename(self.datadir) 60 outplot = "_-_".join(('pitchtessiture',title)) 61 for ext in ('ps','png','svg',''): 62 self.plotplotpitchtessiture(d, 63 plottitle=title, 64 outplot=outplot, 65 extension=ext) 66 67 """ 68 Plot functions 69 """ 70 71 def plotpitchtessiture(self,d,lx,ly,plottitle="",plotmode='linespoints'): 72 import Gnuplot, Gnuplot.funcutils 73 d.append(Gnuplot.Data(lx, ly, with=plotmode, title="%s" % (plottitle) )) 74 75 def plotplotpitchtessiture(self,d,plottitle='',outplot=0,extension=''): 76 from aubio.gnuplot import gnuplot_create 77 g = gnuplot_create(outplot=outplot,extension=extension) 78 g.title(plottitle) 79 g('orig(x) = beta*x') 80 g.xlabel('original pitch (Hz)') 81 g.ylabel('detected pitch (Hz)') 82 g('set log xy') 83 g.plot(*d) 84 27 85 28 86 if __name__ == "__main__": … … 32 90 if len(sys.argv) > 2: 33 91 for each in sys.argv[3:-1]: print each 34 modes = ['yin', 'schmitt', 'mcomb', 'fcomb'] 92 modes = ['schmitt', 'yin', 'mcomb', 'fcomb'] 93 #modes = ['fcomb'] 35 94 36 benchpitch = benchpitch(datapath) 37 benchpitch.params = taskparams() 95 params = taskparams() 96 params.bufsize = 2048 97 params.hopsize = params.bufsize/2 98 benchpitch = benchpitch(datapath,params=params) 38 99 benchpitch.task = taskpitch 39 100 40 41 benchpitch.titles = [ 'mode', 'thres', 'avg', 'avgdist' ] 42 benchpitch.formats = ["%12s" , "| %6s", "| %6s", "| %6s", "| %6s", "| %6s" ] 101 #benchpitch.titles = [ 'mode', 'thres', 'avg', 'avgdist' ] 102 #benchpitch.formats = ["%12s" , "| %6s", "| %6s", "| %6s", "| %6s", "| %6s" ] 43 103 try: 44 104 benchpitch.run_bench(modes=modes)
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