Unified · Split
| @@ -0,0 +1,39 @@ | ||
| 1 | +from aubio.aubioclass import * | |
| 2 | +from onset import taskonset | |
| 3 | + | |
| 4 | +class taskbeat(taskonset): | |
| 5 | + def __init__(self,input,params=None,output=None): | |
| 6 | + """ open the input file and initialize arguments | |
| 7 | + parameters should be set *before* calling this method. | |
| 8 | + """ | |
| 9 | + taskonset.__init__(self,input,output=None,params=params) | |
| 10 | + self.btwinlen = 512**2/self.params.hopsize | |
| 11 | + self.btstep = self.btwinlen/4 | |
| 12 | + self.btoutput = fvec(self.btstep,self.channels) | |
| 13 | + self.dfframe = fvec(self.btwinlen,self.channels) | |
| 14 | + self.bt = beattracking(self.btwinlen,self.channels) | |
| 15 | + self.pos2 = 0 | |
| 16 | + | |
| 17 | + def __call__(self): | |
| 18 | + taskonset.__call__(self) | |
| 19 | + # write to current file | |
| 20 | + if self.pos2 == self.btstep - 1 : | |
| 21 | + self.bt.do(self.dfframe,self.btoutput) | |
| 22 | + for i in range (self.btwinlen - self.btstep): | |
| 23 | + self.dfframe.set(self.dfframe.get(i+self.btstep,0),i,0) | |
| 24 | + for i in range(self.btwinlen - self.btstep, self.btwinlen): | |
| 25 | + self.dfframe.set(0,i,0) | |
| 26 | + self.pos2 = -1; | |
| 27 | + self.pos2 += 1 | |
| 28 | + val = self.opick.pp.getval() | |
| 29 | + self.dfframe.set(val,self.btwinlen - self.btstep + self.pos2,0) | |
| 30 | + i=0 | |
| 31 | + for i in range(1,int( self.btoutput.get(0,0) ) ): | |
| 32 | + if self.pos2 == self.btoutput.get(i,0) and \ | |
| 33 | + aubio_silence_detection(self.myvec(), | |
| 34 | + self.params.silence)!=1: | |
| 35 | + return self.frameread, 0 | |
| 36 | + | |
| 37 | + def eval(self,results): | |
| 38 | + pass | |
| 39 | + | |
| @@ -0,0 +1,41 @@ | ||
| 1 | +from task import task | |
| 2 | +from aubio.aubioclass import * | |
| 3 | + | |
| 4 | +class taskcut(task): | |
| 5 | + def __init__(self,input,slicetimes,params=None,output=None): | |
| 6 | + """ open the input file and initialize arguments | |
| 7 | + parameters should be set *before* calling this method. | |
| 8 | + """ | |
| 9 | + task.__init__(self,input,output=None,params=params) | |
| 10 | + self.newname = "%s%s%09.5f%s%s" % (self.input.split(".")[0].split("/")[-1],".", | |
| 11 | + self.frameread*self.params.step,".",self.input.split(".")[-1]) | |
| 12 | + self.fileo = sndfile(self.newname,model=self.filei) | |
| 13 | + self.myvec = fvec(self.params.hopsize,self.channels) | |
| 14 | + self.mycopy = fvec(self.params.hopsize,self.channels) | |
| 15 | + self.slicetimes = slicetimes | |
| 16 | + | |
| 17 | + def __call__(self): | |
| 18 | + task.__call__(self) | |
| 19 | + # write to current file | |
| 20 | + if len(self.slicetimes) and self.frameread >= self.slicetimes[0][0]: | |
| 21 | + self.slicetimes.pop(0) | |
| 22 | + # write up to 1st zero crossing | |
| 23 | + zerocross = 0 | |
| 24 | + while ( abs( self.myvec.get(zerocross,0) ) > self.params.zerothres ): | |
| 25 | + zerocross += 1 | |
| 26 | + writesize = self.fileo.write(zerocross,self.myvec) | |
| 27 | + fromcross = 0 | |
| 28 | + while (zerocross < self.readsize): | |
| 29 | + for i in range(self.channels): | |
| 30 | + self.mycopy.set(self.myvec.get(zerocross,i),fromcross,i) | |
| 31 | + fromcross += 1 | |
| 32 | + zerocross += 1 | |
| 33 | + del self.fileo | |
| 34 | + self.fileo = sndfile("%s%s%09.5f%s%s" % | |
| 35 | + (self.input.split(".")[0].split("/")[-1],".", | |
| 36 | + self.frameread*self.params.step,".",self.input.split(".")[-1]),model=self.filei) | |
| 37 | + writesize = self.fileo.write(fromcross,self.mycopy) | |
| 38 | + else: | |
| 39 | + writesize = self.fileo.write(self.readsize,self.myvec) | |
| 40 | + | |
| 41 | + | |
| @@ -0,0 +1,184 @@ | ||
| 1 | +from aubio.task.task import task | |
| 2 | +from aubio.task.utils import * | |
| 3 | +from aubio.aubioclass import * | |
| 4 | + | |
| 5 | +class taskonset(task): | |
| 6 | + def __init__(self,input,output=None,params=None): | |
| 7 | + """ open the input file and initialize arguments | |
| 8 | + parameters should be set *before* calling this method. | |
| 9 | + """ | |
| 10 | + task.__init__(self,input,params=params) | |
| 11 | + self.opick = onsetpick(self.params.bufsize, | |
| 12 | + self.params.hopsize, | |
| 13 | + self.channels, | |
| 14 | + self.myvec, | |
| 15 | + self.params.threshold, | |
| 16 | + mode=get_onset_mode(self.params.onsetmode), | |
| 17 | + dcthreshold=self.params.dcthreshold, | |
| 18 | + derivate=self.params.derivate) | |
| 19 | + self.olist = [] | |
| 20 | + self.ofunc = [] | |
| 21 | + self.maxofunc = 0 | |
| 22 | + self.last = 0 | |
| 23 | + if self.params.localmin: | |
| 24 | + self.ovalist = [0., 0., 0., 0., 0.] | |
| 25 | + | |
| 26 | + def __call__(self): | |
| 27 | + task.__call__(self) | |
| 28 | + isonset,val = self.opick.do(self.myvec) | |
| 29 | + if (aubio_silence_detection(self.myvec(),self.params.silence)): | |
| 30 | + isonset=0 | |
| 31 | + if self.params.storefunc: | |
| 32 | + self.ofunc.append(val) | |
| 33 | + if self.params.localmin: | |
| 34 | + if val > 0: self.ovalist.append(val) | |
| 35 | + else: self.ovalist.append(0) | |
| 36 | + self.ovalist.pop(0) | |
| 37 | + if (isonset == 1): | |
| 38 | + if self.params.localmin: | |
| 39 | + # find local minima before peak | |
| 40 | + i=len(self.ovalist)-1 | |
| 41 | + while self.ovalist[i-1] < self.ovalist[i] and i > 0: | |
| 42 | + i -= 1 | |
| 43 | + now = (self.frameread+1-i) | |
| 44 | + else: | |
| 45 | + now = self.frameread | |
| 46 | + # take back delay | |
| 47 | + if self.params.delay != 0.: now -= self.params.delay | |
| 48 | + if now < 0 : | |
| 49 | + now = 0 | |
| 50 | + if self.params.mintol: | |
| 51 | + # prune doubled | |
| 52 | + if (now - self.last) > self.params.mintol: | |
| 53 | + self.last = now | |
| 54 | + return now, val | |
| 55 | + else: | |
| 56 | + return now, val | |
| 57 | + | |
| 58 | + | |
| 59 | + def fprint(self,foo): | |
| 60 | + print self.params.step*foo[0] | |
| 61 | + | |
| 62 | + def eval(self,inputdata,ftru,mode='roc',vmode=''): | |
| 63 | + from txtfile import read_datafile | |
| 64 | + from onsetcompare import onset_roc, onset_diffs, onset_rocloc | |
| 65 | + ltru = read_datafile(ftru,depth=0) | |
| 66 | + lres = [] | |
| 67 | + for i in range(len(inputdata)): lres.append(inputdata[i][0]*self.params.step) | |
| 68 | + if vmode=='verbose': | |
| 69 | + print "Running with mode %s" % self.params.onsetmode, | |
| 70 | + print " and threshold %f" % self.params.threshold, | |
| 71 | + print " on file", self.input | |
| 72 | + #print ltru; print lres | |
| 73 | + if mode == 'local': | |
| 74 | + l = onset_diffs(ltru,lres,self.params.tol) | |
| 75 | + mean = 0 | |
| 76 | + for i in l: mean += i | |
| 77 | + if len(l): mean = "%.3f" % (mean/len(l)) | |
| 78 | + else: mean = "?0" | |
| 79 | + return l, mean | |
| 80 | + elif mode == 'roc': | |
| 81 | + self.orig, self.missed, self.merged, \ | |
| 82 | + self.expc, self.bad, self.doubled = \ | |
| 83 | + onset_roc(ltru,lres,self.params.tol) | |
| 84 | + elif mode == 'rocloc': | |
| 85 | + self.v = {} | |
| 86 | + self.v['orig'], self.v['missed'], self.v['Tm'], \ | |
| 87 | + self.v['expc'], self.v['bad'], self.v['Td'], \ | |
| 88 | + self.v['l'], self.v['labs'] = \ | |
| 89 | + onset_rocloc(ltru,lres,self.params.tol) | |
| 90 | + | |
| 91 | + def plot(self,onsets,ofunc,wplot,oplots,nplot=False): | |
| 92 | + import Gnuplot, Gnuplot.funcutils | |
| 93 | + import aubio.txtfile | |
| 94 | + import os.path | |
| 95 | + import numarray | |
| 96 | + from aubio.onsetcompare import onset_roc | |
| 97 | + | |
| 98 | + x1,y1,y1p = [],[],[] | |
| 99 | + oplot = [] | |
| 100 | + if self.params.onsetmode in ('mkl','kl'): ofunc[0:10] = [0] * 10 | |
| 101 | + | |
| 102 | + self.lenofunc = len(ofunc) | |
| 103 | + self.maxofunc = max(ofunc) | |
| 104 | + # onset detection function | |
| 105 | + downtime = numarray.arange(len(ofunc))*self.params.step | |
| 106 | + oplot.append(Gnuplot.Data(downtime,ofunc,with='lines',title=self.params.onsetmode)) | |
| 107 | + | |
| 108 | + # detected onsets | |
| 109 | + if not nplot: | |
| 110 | + for i in onsets: | |
| 111 | + x1.append(i[0]*self.params.step) | |
| 112 | + y1.append(self.maxofunc) | |
| 113 | + y1p.append(-self.maxofunc) | |
| 114 | + #x1 = numarray.array(onsets)*self.params.step | |
| 115 | + #y1 = self.maxofunc*numarray.ones(len(onsets)) | |
| 116 | + if x1: | |
| 117 | + oplot.append(Gnuplot.Data(x1,y1,with='impulses')) | |
| 118 | + wplot.append(Gnuplot.Data(x1,y1p,with='impulses')) | |
| 119 | + | |
| 120 | + oplots.append(oplot) | |
| 121 | + | |
| 122 | + # check if ground truth datafile exists | |
| 123 | + datafile = self.input.replace('.wav','.txt') | |
| 124 | + if datafile == self.input: datafile = "" | |
| 125 | + if not os.path.isfile(datafile): | |
| 126 | + self.title = "" #"(no ground truth)" | |
| 127 | + else: | |
| 128 | + t_onsets = aubio.txtfile.read_datafile(datafile) | |
| 129 | + x2 = numarray.array(t_onsets).resize(len(t_onsets)) | |
| 130 | + y2 = self.maxofunc*numarray.ones(len(t_onsets)) | |
| 131 | + wplot.append(Gnuplot.Data(x2,y2,with='impulses')) | |
| 132 | + | |
| 133 | + tol = 0.050 | |
| 134 | + | |
| 135 | + orig, missed, merged, expc, bad, doubled = \ | |
| 136 | + onset_roc(x2,x1,tol) | |
| 137 | + self.title = "GD %2.3f%% FP %2.3f%%" % \ | |
| 138 | + ((100*float(orig-missed-merged)/(orig)), | |
| 139 | + (100*float(bad+doubled)/(orig))) | |
| 140 | + | |
| 141 | + | |
| 142 | + def plotplot(self,wplot,oplots,outplot=None): | |
| 143 | + from aubio.gnuplot import gnuplot_init, audio_to_array, make_audio_plot | |
| 144 | + import re | |
| 145 | + # audio data | |
| 146 | + time,data = audio_to_array(self.input) | |
| 147 | + wplot = [make_audio_plot(time,data)] + wplot | |
| 148 | + self.title = self.input | |
| 149 | + # prepare the plot | |
| 150 | + g = gnuplot_init(outplot) | |
| 151 | + | |
| 152 | + g('set multiplot') | |
| 153 | + | |
| 154 | + # hack to align left axis | |
| 155 | + g('set lmargin 6') | |
| 156 | + g('set tmargin 0') | |
| 157 | + g('set format x ""') | |
| 158 | + g('set format y ""') | |
| 159 | + g('set noytics') | |
| 160 | + | |
| 161 | + for i in range(len(oplots)): | |
| 162 | + # plot onset detection functions | |
| 163 | + g('set size 1,%f' % (0.7/(len(oplots)))) | |
| 164 | + g('set origin 0,%f' % (float(i)*0.7/(len(oplots)))) | |
| 165 | + g('set xrange [0:%f]' % (self.lenofunc*self.params.step)) | |
| 166 | + g.plot(*oplots[i]) | |
| 167 | + | |
| 168 | + g('set tmargin 3.0') | |
| 169 | + g('set xlabel "time (s)" 1,0') | |
| 170 | + g('set format x "%1.1f"') | |
| 171 | + | |
| 172 | + g('set title \'%s %s\'' % (re.sub('.*/','',self.input),self.title)) | |
| 173 | + | |
| 174 | + # plot waveform and onsets | |
| 175 | + g('set size 1,0.3') | |
| 176 | + g('set origin 0,0.7') | |
| 177 | + g('set xrange [0:%f]' % max(time)) | |
| 178 | + g('set yrange [-1:1]') | |
| 179 | + g.ylabel('amplitude') | |
| 180 | + g.plot(*wplot) | |
| 181 | + | |
| 182 | + g('unset multiplot') | |
| 183 | + | |
| 184 | + | |
| @@ -0,0 +1,26 @@ | ||
| 1 | +from aubio.aubioclass import aubio_pitchm_freq | |
| 2 | + | |
| 3 | +class taskparams(object): | |
| 4 | + """ default parameters for task classes """ | |
| 5 | + def __init__(self,input=None,output=None): | |
| 6 | + self.silence = -70 | |
| 7 | + self.derivate = False | |
| 8 | + self.localmin = False | |
| 9 | + self.delay = 4. | |
| 10 | + self.storefunc = False | |
| 11 | + self.bufsize = 512 | |
| 12 | + self.hopsize = 256 | |
| 13 | + self.samplerate = 44100 | |
| 14 | + self.tol = 0.05 | |
| 15 | + self.mintol = 0.0 | |
| 16 | + self.step = float(self.hopsize)/float(self.samplerate) | |
| 17 | + self.threshold = 0.1 | |
| 18 | + self.onsetmode = 'dual' | |
| 19 | + self.pitchmode = 'yin' | |
| 20 | + self.pitchsmooth = 7 | |
| 21 | + self.pitchmin=100. | |
| 22 | + self.pitchmax=1000. | |
| 23 | + self.dcthreshold = -1. | |
| 24 | + self.omode = aubio_pitchm_freq | |
| 25 | + self.verbose = False | |
| 26 | + | |
| @@ -0,0 +1,175 @@ | ||
| 1 | +from aubio.task.task import task | |
| 2 | +from aubio.task.silence import tasksilence | |
| 3 | +from aubio.task.utils import * | |
| 4 | +from aubio.aubioclass import * | |
| 5 | + | |
| 6 | +class taskpitch(task): | |
| 7 | + def __init__(self,input,params=None): | |
| 8 | + task.__init__(self,input,params=params) | |
| 9 | + self.shortlist = [0. for i in range(self.params.pitchsmooth)] | |
| 10 | + self.pitchdet = pitchdetection(mode=get_pitch_mode(self.params.pitchmode), | |
| 11 | + bufsize=self.params.bufsize, | |
| 12 | + hopsize=self.params.hopsize, | |
| 13 | + channels=self.channels, | |
| 14 | + samplerate=self.srate, | |
| 15 | + omode=self.params.omode) | |
| 16 | + | |
| 17 | + def __call__(self): | |
| 18 | + from aubio.median import short_find | |
| 19 | + task.__call__(self) | |
| 20 | + if (aubio_silence_detection(self.myvec(),self.params.silence)==1): | |
| 21 | + freq = -1. | |
| 22 | + else: | |
| 23 | + freq = self.pitchdet(self.myvec) | |
| 24 | + minpitch = self.params.pitchmin | |
| 25 | + maxpitch = self.params.pitchmax | |
| 26 | + if maxpitch and freq > maxpitch : | |
| 27 | + freq = -1. | |
| 28 | + elif minpitch and freq < minpitch : | |
| 29 | + freq = -1. | |
| 30 | + if self.params.pitchsmooth: | |
| 31 | + self.shortlist.append(freq) | |
| 32 | + self.shortlist.pop(0) | |
| 33 | + smoothfreq = short_find(self.shortlist, | |
| 34 | + len(self.shortlist)/2) | |
| 35 | + return smoothfreq | |
| 36 | + else: | |
| 37 | + return freq | |
| 38 | + | |
| 39 | + def compute_all(self): | |
| 40 | + """ Compute data """ | |
| 41 | + mylist = [] | |
| 42 | + while(self.readsize==self.params.hopsize): | |
| 43 | + freq = self() | |
| 44 | + mylist.append(freq) | |
| 45 | + if self.params.verbose: | |
| 46 | + self.fprint("%s\t%s" % (self.frameread*self.params.step,freq)) | |
| 47 | + return mylist | |
| 48 | + | |
| 49 | + def gettruth(self): | |
| 50 | + """ extract ground truth array in frequency """ | |
| 51 | + import os.path | |
| 52 | + """ from wavfile.txt """ | |
| 53 | + datafile = self.input.replace('.wav','.txt') | |
| 54 | + if datafile == self.input: datafile = "" | |
| 55 | + """ from file.<midinote>.wav """ | |
| 56 | + # FIXME very weak check | |
| 57 | + floatpit = self.input.split('.')[-2] | |
| 58 | + if not os.path.isfile(datafile) and len(self.input.split('.')) < 3: | |
| 59 | + print "no ground truth " | |
| 60 | + return False,False | |
| 61 | + elif floatpit: | |
| 62 | + try: | |
| 63 | + self.truth = aubio_miditofreq(float(floatpit)) | |
| 64 | + print "ground truth found in filename:", self.truth | |
| 65 | + tasksil = tasksilence(self.input) | |
| 66 | + time,pitch =[],[] | |
| 67 | + while(tasksil.readsize==tasksil.params.hopsize): | |
| 68 | + tasksil() | |
| 69 | + time.append(tasksil.params.step*tasksil.frameread) | |
| 70 | + if not tasksil.issilence: | |
| 71 | + pitch.append(self.truth) | |
| 72 | + else: | |
| 73 | + pitch.append(-1.) | |
| 74 | + return time,pitch #0,aubio_miditofreq(float(floatpit)) | |
| 75 | + except ValueError: | |
| 76 | + # FIXME very weak check | |
| 77 | + if not os.path.isfile(datafile): | |
| 78 | + print "no ground truth found" | |
| 79 | + return 0,0 | |
| 80 | + else: | |
| 81 | + from aubio.txtfile import read_datafile | |
| 82 | + values = read_datafile(datafile) | |
| 83 | + time, pitch = [], [] | |
| 84 | + for i in range(len(values)): | |
| 85 | + time.append(values[i][0]) | |
| 86 | + pitch.append(values[i][1]) | |
| 87 | + return time,pitch | |
| 88 | + | |
| 89 | + def eval(self,results): | |
| 90 | + def mmean(l): | |
| 91 | + return sum(l)/max(float(len(l)),1) | |
| 92 | + | |
| 93 | + from aubio.median import percental | |
| 94 | + timet,pitcht = self.gettruth() | |
| 95 | + res = [] | |
| 96 | + for i in results: | |
| 97 | + #print i,self.truth | |
| 98 | + if i <= 0: pass | |
| 99 | + else: res.append(self.truth-i) | |
| 100 | + if not res or len(res) < 3: | |
| 101 | + avg = self.truth; med = self.truth | |
| 102 | + else: | |
| 103 | + avg = mmean(res) | |
| 104 | + med = percental(res,len(res)/2) | |
| 105 | + return self.truth, self.truth-med, self.truth-avg | |
| 106 | + | |
| 107 | + def neweval(self,results): | |
| 108 | + timet,pitcht = self.gettruth() | |
| 109 | + for i in timet: | |
| 110 | + print results[i] | |
| 111 | + return self.truth, self.truth-med, self.truth-avg | |
| 112 | + | |
| 113 | + def plot(self,pitch,wplot,oplots,outplot=None): | |
| 114 | + import numarray | |
| 115 | + import Gnuplot | |
| 116 | + | |
| 117 | + self.eval(pitch) | |
| 118 | + downtime = self.params.step*numarray.arange(len(pitch)) | |
| 119 | + oplots.append(Gnuplot.Data(downtime,pitch,with='lines', | |
| 120 | + title=self.params.pitchmode)) | |
| 121 | + | |
| 122 | + | |
| 123 | + def plotplot(self,wplot,oplots,outplot=None,multiplot = 1): | |
| 124 | + from aubio.gnuplot import gnuplot_init, audio_to_array, make_audio_plot | |
| 125 | + import re | |
| 126 | + import Gnuplot | |
| 127 | + # audio data | |
| 128 | + time,data = audio_to_array(self.input) | |
| 129 | + f = make_audio_plot(time,data) | |
| 130 | + | |
| 131 | + # check if ground truth exists | |
| 132 | + timet,pitcht = self.gettruth() | |
| 133 | + if timet and pitcht: | |
| 134 | + oplots = [Gnuplot.Data(timet,pitcht,with='lines', | |
| 135 | + title='ground truth')] + oplots | |
| 136 | + | |
| 137 | + t = Gnuplot.Data(0,0,with='impulses') | |
| 138 | + | |
| 139 | + g = gnuplot_init(outplot) | |
| 140 | + g('set title \'%s\'' % (re.sub('.*/','',self.input))) | |
| 141 | + g('set multiplot') | |
| 142 | + # hack to align left axis | |
| 143 | + g('set lmargin 15') | |
| 144 | + # plot waveform and onsets | |
| 145 | + g('set size 1,0.3') | |
| 146 | + g('set origin 0,0.7') | |
| 147 | + g('set xrange [0:%f]' % max(time)) | |
| 148 | + g('set yrange [-1:1]') | |
| 149 | + g.ylabel('amplitude') | |
| 150 | + g.plot(f) | |
| 151 | + g('unset title') | |
| 152 | + # plot onset detection function | |
| 153 | + | |
| 154 | + | |
| 155 | + g('set size 1,0.7') | |
| 156 | + g('set origin 0,0') | |
| 157 | + g('set xrange [0:%f]' % max(time)) | |
| 158 | + g('set yrange [100:%f]' % self.params.pitchmax) | |
| 159 | + g('set key right top') | |
| 160 | + g('set noclip one') | |
| 161 | + g('set format x ""') | |
| 162 | + g('set log y') | |
| 163 | + #g.xlabel('time (s)') | |
| 164 | + g.ylabel('f0 (Hz)') | |
| 165 | + if multiplot: | |
| 166 | + for i in range(len(oplots)): | |
| 167 | + # plot onset detection functions | |
| 168 | + g('set size 1,%f' % (0.7/(len(oplots)))) | |
| 169 | + g('set origin 0,%f' % (float(i)*0.7/(len(oplots)))) | |
| 170 | + g('set xrange [0:%f]' % max(time)) | |
| 171 | + g.plot(oplots[i]) | |
| 172 | + else: | |
| 173 | + g.plot(*oplots) | |
| 174 | + g('unset multiplot') | |
| 175 | + | |
| @@ -0,0 +1,28 @@ | ||
| 1 | +from aubio.task.task import task | |
| 2 | +from aubio.aubioclass import * | |
| 3 | + | |
| 4 | +class tasksilence(task): | |
| 5 | + wassilence = 1 | |
| 6 | + issilence = 1 | |
| 7 | + def __call__(self): | |
| 8 | + task.__call__(self) | |
| 9 | + if (aubio_silence_detection(self.myvec(),self.params.silence)==1): | |
| 10 | + if self.wassilence == 1: self.issilence = 1 | |
| 11 | + else: self.issilence = 2 | |
| 12 | + self.wassilence = 1 | |
| 13 | + else: | |
| 14 | + if self.wassilence <= 0: self.issilence = 0 | |
| 15 | + else: self.issilence = -1 | |
| 16 | + self.wassilence = 0 | |
| 17 | + if self.issilence == -1: | |
| 18 | + return max(self.frameread-self.params.delay,0.), -1 | |
| 19 | + elif self.issilence == 2: | |
| 20 | + return max(self.frameread+self.params.delay,0.), 2 | |
| 21 | + | |
| 22 | + def fprint(self,foo): | |
| 23 | + print self.params.step*foo[0], | |
| 24 | + if foo[1] == 2: print "OFF" | |
| 25 | + else: print "ON" | |
| 26 | + | |
| 27 | + | |
| 28 | + | |
| @@ -0,0 +1,54 @@ | ||
| 1 | +from aubio.aubioclass import * | |
| 2 | +from params import taskparams | |
| 3 | + | |
| 4 | +class task(taskparams): | |
| 5 | + """ default template class to apply tasks on a stream """ | |
| 6 | + def __init__(self,input,output=None,params=None): | |
| 7 | + """ open the input file and initialize default argument | |
| 8 | + parameters should be set *before* calling this method. | |
| 9 | + """ | |
| 10 | + import time | |
| 11 | + self.tic = time.time() | |
| 12 | + if params == None: self.params = taskparams() | |
| 13 | + else: self.params = params | |
| 14 | + self.frameread = 0 | |
| 15 | + self.readsize = self.params.hopsize | |
| 16 | + self.input = input | |
| 17 | + self.filei = sndfile(self.input) | |
| 18 | + self.srate = self.filei.samplerate() | |
| 19 | + self.channels = self.filei.channels() | |
| 20 | + self.params.step = float(self.params.hopsize)/float(self.srate) | |
| 21 | + self.myvec = fvec(self.params.hopsize,self.channels) | |
| 22 | + self.output = output | |
| 23 | + | |
| 24 | + def __call__(self): | |
| 25 | + self.readsize = self.filei.read(self.params.hopsize,self.myvec) | |
| 26 | + self.frameread += 1 | |
| 27 | + | |
| 28 | + def compute_all(self): | |
| 29 | + """ Compute data """ | |
| 30 | + mylist = [] | |
| 31 | + while(self.readsize==self.params.hopsize): | |
| 32 | + tmp = self() | |
| 33 | + if tmp: | |
| 34 | + mylist.append(tmp) | |
| 35 | + if self.params.verbose: | |
| 36 | + self.fprint(tmp) | |
| 37 | + return mylist | |
| 38 | + | |
| 39 | + def fprint(self,foo): | |
| 40 | + print foo | |
| 41 | + | |
| 42 | + def eval(self,results): | |
| 43 | + """ Eval data """ | |
| 44 | + pass | |
| 45 | + | |
| 46 | + def plot(self): | |
| 47 | + """ Plot data """ | |
| 48 | + pass | |
| 49 | + | |
| 50 | + def time(self): | |
| 51 | + import time | |
| 52 | + print "CPU time is now %f seconds," % time.clock(), | |
| 53 | + print "task execution took %f seconds" % (time.time() - self.tic) | |
| 54 | + | |
| @@ -0,0 +1,74 @@ | ||
| 1 | +from aubio.aubioclass import * | |
| 2 | + | |
| 3 | +def get_onset_mode(nvalue): | |
| 4 | + """ utility function to convert a string to aubio_onsetdetection_type """ | |
| 5 | + if nvalue == 'complexdomain' or nvalue == 'complex' : | |
| 6 | + return aubio_onset_complex | |
| 7 | + elif nvalue == 'hfc' : | |
| 8 | + return aubio_onset_hfc | |
| 9 | + elif nvalue == 'phase' : | |
| 10 | + return aubio_onset_phase | |
| 11 | + elif nvalue == 'specdiff' : | |
| 12 | + return aubio_onset_specdiff | |
| 13 | + elif nvalue == 'energy' : | |
| 14 | + return aubio_onset_energy | |
| 15 | + elif nvalue == 'kl' : | |
| 16 | + return aubio_onset_kl | |
| 17 | + elif nvalue == 'mkl' : | |
| 18 | + return aubio_onset_mkl | |
| 19 | + elif nvalue == 'dual' : | |
| 20 | + return 'dual' | |
| 21 | + else: | |
| 22 | + import sys | |
| 23 | + print "unknown onset detection function selected" | |
| 24 | + sys.exit(1) | |
| 25 | + | |
| 26 | +def get_pitch_mode(nvalue): | |
| 27 | + """ utility function to convert a string to aubio_pitchdetection_type """ | |
| 28 | + if nvalue == 'mcomb' : | |
| 29 | + return aubio_pitch_mcomb | |
| 30 | + elif nvalue == 'yin' : | |
| 31 | + return aubio_pitch_yin | |
| 32 | + elif nvalue == 'fcomb' : | |
| 33 | + return aubio_pitch_fcomb | |
| 34 | + elif nvalue == 'schmitt': | |
| 35 | + return aubio_pitch_schmitt | |
| 36 | + else: | |
| 37 | + import sys | |
| 38 | + print "error: unknown pitch detection function selected" | |
| 39 | + sys.exit(1) | |
| 40 | + | |
| 41 | +def check_onset_mode(option, opt, value, parser): | |
| 42 | + """ wrapper function to convert a list of modes to | |
| 43 | + aubio_onsetdetection_type """ | |
| 44 | + nvalues = parser.rargs[0].split(',') | |
| 45 | + val = [] | |
| 46 | + for nvalue in nvalues: | |
| 47 | + val.append(get_onset_mode(nvalue)) | |
| 48 | + setattr(parser.values, option.dest, val) | |
| 49 | + | |
| 50 | +def check_pitch_mode(option, opt, value, parser): | |
| 51 | + """ utility function to convert a string to aubio_pitchdetection_type""" | |
| 52 | + nvalues = parser.rargs[0].split(',') | |
| 53 | + val = [] | |
| 54 | + for nvalue in nvalues: | |
| 55 | + val.append(get_pitch_mode(nvalue)) | |
| 56 | + setattr(parser.values, option.dest, val) | |
| 57 | + | |
| 58 | +def check_pitchm_mode(option, opt, value, parser): | |
| 59 | + """ utility function to convert a string to aubio_pitchdetection_mode """ | |
| 60 | + nvalue = parser.rargs[0] | |
| 61 | + if nvalue == 'freq' : | |
| 62 | + setattr(parser.values, option.dest, aubio_pitchm_freq) | |
| 63 | + elif nvalue == 'midi' : | |
| 64 | + setattr(parser.values, option.dest, aubio_pitchm_midi) | |
| 65 | + elif nvalue == 'cent' : | |
| 66 | + setattr(parser.values, option.dest, aubio_pitchm_cent) | |
| 67 | + elif nvalue == 'bin' : | |
| 68 | + setattr(parser.values, option.dest, aubio_pitchm_bin) | |
| 69 | + else: | |
| 70 | + import sys | |
| 71 | + print "error: unknown pitch detection output selected" | |
| 72 | + sys.exit(1) | |
| 73 | + | |
| 74 | + | |
| @@ -1,587 +0,0 @@ | ||
| 1 | −from aubioclass import * | |
| 2 | − | |
| 3 | −def get_onset_mode(nvalue): | |
| 4 | − """ utility function to convert a string to aubio_onsetdetection_type """ | |
| 5 | − if nvalue == 'complexdomain' or nvalue == 'complex' : | |
| 6 | − return aubio_onset_complex | |
| 7 | − elif nvalue == 'hfc' : | |
| 8 | − return aubio_onset_hfc | |
| 9 | − elif nvalue == 'phase' : | |
| 10 | − return aubio_onset_phase | |
| 11 | − elif nvalue == 'specdiff' : | |
| 12 | − return aubio_onset_specdiff | |
| 13 | − elif nvalue == 'energy' : | |
| 14 | − return aubio_onset_energy | |
| 15 | − elif nvalue == 'kl' : | |
| 16 | − return aubio_onset_kl | |
| 17 | − elif nvalue == 'mkl' : | |
| 18 | − return aubio_onset_mkl | |
| 19 | − elif nvalue == 'dual' : | |
| 20 | − return 'dual' | |
| 21 | − else: | |
| 22 | − import sys | |
| 23 | − print "unknown onset detection function selected" | |
| 24 | − sys.exit(1) | |
| 25 | − | |
| 26 | −def get_pitch_mode(nvalue): | |
| 27 | − """ utility function to convert a string to aubio_pitchdetection_type """ | |
| 28 | − if nvalue == 'mcomb' : | |
| 29 | − return aubio_pitch_mcomb | |
| 30 | − elif nvalue == 'yin' : | |
| 31 | − return aubio_pitch_yin | |
| 32 | − elif nvalue == 'fcomb' : | |
| 33 | − return aubio_pitch_fcomb | |
| 34 | − elif nvalue == 'schmitt': | |
| 35 | − return aubio_pitch_schmitt | |
| 36 | − else: | |
| 37 | − import sys | |
| 38 | − print "error: unknown pitch detection function selected" | |
| 39 | − sys.exit(1) | |
| 40 | − | |
| 41 | −def check_onset_mode(option, opt, value, parser): | |
| 42 | − """ wrapper function to convert a list of modes to | |
| 43 | − aubio_onsetdetection_type """ | |
| 44 | − nvalues = parser.rargs[0].split(',') | |
| 45 | − val = [] | |
| 46 | − for nvalue in nvalues: | |
| 47 | − val.append(get_onset_mode(nvalue)) | |
| 48 | − setattr(parser.values, option.dest, val) | |
| 49 | − | |
| 50 | −def check_pitch_mode(option, opt, value, parser): | |
| 51 | − """ utility function to convert a string to aubio_pitchdetection_type""" | |
| 52 | − nvalues = parser.rargs[0].split(',') | |
| 53 | − val = [] | |
| 54 | − for nvalue in nvalues: | |
| 55 | − val.append(get_pitch_mode(nvalue)) | |
| 56 | − setattr(parser.values, option.dest, val) | |
| 57 | − | |
| 58 | −def check_pitchm_mode(option, opt, value, parser): | |
| 59 | − """ utility function to convert a string to aubio_pitchdetection_mode """ | |
| 60 | − nvalue = parser.rargs[0] | |
| 61 | − if nvalue == 'freq' : | |
| 62 | − setattr(parser.values, option.dest, aubio_pitchm_freq) | |
| 63 | − elif nvalue == 'midi' : | |
| 64 | − setattr(parser.values, option.dest, aubio_pitchm_midi) | |
| 65 | − elif nvalue == 'cent' : | |
| 66 | − setattr(parser.values, option.dest, aubio_pitchm_cent) | |
| 67 | − elif nvalue == 'bin' : | |
| 68 | − setattr(parser.values, option.dest, aubio_pitchm_bin) | |
| 69 | − else: | |
| 70 | − import sys | |
| 71 | − print "error: unknown pitch detection output selected" | |
| 72 | − sys.exit(1) | |
| 73 | − | |
| 74 | −class taskparams(object): | |
| 75 | − """ default parameters for task classes """ | |
| 76 | − def __init__(self,input=None,output=None): | |
| 77 | − self.silence = -70 | |
| 78 | − self.derivate = False | |
| 79 | − self.localmin = False | |
| 80 | − self.delay = 4. | |
| 81 | − self.storefunc = False | |
| 82 | − self.bufsize = 512 | |
| 83 | − self.hopsize = 256 | |
| 84 | − self.samplerate = 44100 | |
| 85 | − self.tol = 0.05 | |
| 86 | − self.mintol = 0.0 | |
| 87 | − self.step = float(self.hopsize)/float(self.samplerate) | |
| 88 | − self.threshold = 0.1 | |
| 89 | − self.onsetmode = 'dual' | |
| 90 | − self.pitchmode = 'yin' | |
| 91 | − self.pitchsmooth = 7 | |
| 92 | − self.pitchmin=100. | |
| 93 | − self.pitchmax=1000. | |
| 94 | − self.dcthreshold = -1. | |
| 95 | − self.omode = aubio_pitchm_freq | |
| 96 | − self.verbose = False | |
| 97 | − | |
| 98 | −class task(taskparams): | |
| 99 | − """ default template class to apply tasks on a stream """ | |
| 100 | − def __init__(self,input,output=None,params=None): | |
| 101 | − """ open the input file and initialize default argument | |
| 102 | − parameters should be set *before* calling this method. | |
| 103 | − """ | |
| 104 | − import time | |
| 105 | − self.tic = time.time() | |
| 106 | − if params == None: self.params = taskparams() | |
| 107 | − else: self.params = params | |
| 108 | − self.frameread = 0 | |
| 109 | − self.readsize = self.params.hopsize | |
| 110 | − self.input = input | |
| 111 | − self.filei = sndfile(self.input) | |
| 112 | − self.srate = self.filei.samplerate() | |
| 113 | − self.channels = self.filei.channels() | |
| 114 | − self.params.step = float(self.params.hopsize)/float(self.srate) | |
| 115 | − self.myvec = fvec(self.params.hopsize,self.channels) | |
| 116 | − self.output = output | |
| 117 | − | |
| 118 | − def __call__(self): | |
| 119 | − self.readsize = self.filei.read(self.params.hopsize,self.myvec) | |
| 120 | − self.frameread += 1 | |
| 121 | − | |
| 122 | − def compute_all(self): | |
| 123 | − """ Compute data """ | |
| 124 | − mylist = [] | |
| 125 | − while(self.readsize==self.params.hopsize): | |
| 126 | − tmp = self() | |
| 127 | − if tmp: | |
| 128 | − mylist.append(tmp) | |
| 129 | − if self.params.verbose: | |
| 130 | − self.fprint(tmp) | |
| 131 | − return mylist | |
| 132 | − | |
| 133 | − def fprint(self,foo): | |
| 134 | − print foo | |
| 135 | − | |
| 136 | − def eval(self,results): | |
| 137 | − """ Eval data """ | |
| 138 | − pass | |
| 139 | − | |
| 140 | − def plot(self): | |
| 141 | − """ Plot data """ | |
| 142 | − pass | |
| 143 | − | |
| 144 | − def time(self): | |
| 145 | − import time | |
| 146 | − print "CPU time is now %f seconds," % time.clock(), | |
| 147 | − print "task execution took %f seconds" % (time.time() - self.tic) | |
| 148 | − | |
| 149 | −class tasksilence(task): | |
| 150 | − wassilence = 1 | |
| 151 | − issilence = 1 | |
| 152 | − def __call__(self): | |
| 153 | − task.__call__(self) | |
| 154 | − if (aubio_silence_detection(self.myvec(),self.params.silence)==1): | |
| 155 | − if self.wassilence == 1: self.issilence = 1 | |
| 156 | − else: self.issilence = 2 | |
| 157 | − self.wassilence = 1 | |
| 158 | − else: | |
| 159 | − if self.wassilence <= 0: self.issilence = 0 | |
| 160 | − else: self.issilence = -1 | |
| 161 | − self.wassilence = 0 | |
| 162 | − if self.issilence == -1: | |
| 163 | − return max(self.frameread-self.params.delay,0.), -1 | |
| 164 | − elif self.issilence == 2: | |
| 165 | − return max(self.frameread+self.params.delay,0.), 2 | |
| 166 | − | |
| 167 | − def fprint(self,foo): | |
| 168 | − print self.params.step*foo[0], | |
| 169 | − if foo[1] == 2: print "OFF" | |
| 170 | − else: print "ON" | |
| 171 | − | |
| 172 | −class taskpitch(task): | |
| 173 | − def __init__(self,input,params=None): | |
| 174 | − task.__init__(self,input,params=params) | |
| 175 | − self.shortlist = [0. for i in range(self.params.pitchsmooth)] | |
| 176 | − self.pitchdet = pitchdetection(mode=get_pitch_mode(self.params.pitchmode), | |
| 177 | − bufsize=self.params.bufsize, | |
| 178 | − hopsize=self.params.hopsize, | |
| 179 | − channels=self.channels, | |
| 180 | − samplerate=self.srate, | |
| 181 | − omode=self.params.omode) | |
| 182 | − | |
| 183 | − def __call__(self): | |
| 184 | − from median import short_find | |
| 185 | − task.__call__(self) | |
| 186 | − if (aubio_silence_detection(self.myvec(),self.params.silence)==1): | |
| 187 | − freq = -1. | |
| 188 | − else: | |
| 189 | − freq = self.pitchdet(self.myvec) | |
| 190 | − minpitch = self.params.pitchmin | |
| 191 | − maxpitch = self.params.pitchmax | |
| 192 | − if maxpitch and freq > maxpitch : | |
| 193 | − freq = -1. | |
| 194 | − elif minpitch and freq < minpitch : | |
| 195 | − freq = -1. | |
| 196 | − if self.params.pitchsmooth: | |
| 197 | − self.shortlist.append(freq) | |
| 198 | − self.shortlist.pop(0) | |
| 199 | − smoothfreq = short_find(self.shortlist, | |
| 200 | − len(self.shortlist)/2) | |
| 201 | − return smoothfreq | |
| 202 | − else: | |
| 203 | − return freq | |
| 204 | − | |
| 205 | − def compute_all(self): | |
| 206 | − """ Compute data """ | |
| 207 | − mylist = [] | |
| 208 | − while(self.readsize==self.params.hopsize): | |
| 209 | − freq = self() | |
| 210 | − mylist.append(freq) | |
| 211 | − if self.params.verbose: | |
| 212 | − self.fprint("%s\t%s" % (self.frameread*self.params.step,freq)) | |
| 213 | − return mylist | |
| 214 | − | |
| 215 | − def gettruth(self): | |
| 216 | − """ extract ground truth array in frequency """ | |
| 217 | − import os.path | |
| 218 | − """ from wavfile.txt """ | |
| 219 | − datafile = self.input.replace('.wav','.txt') | |
| 220 | − if datafile == self.input: datafile = "" | |
| 221 | − """ from file.<midinote>.wav """ | |
| 222 | − # FIXME very weak check | |
| 223 | − floatpit = self.input.split('.')[-2] | |
| 224 | − | |
| 225 | − if not os.path.isfile(datafile) and not len(self.input.split('.')) < 3: | |
| 226 | − print "no ground truth " | |
| 227 | − return False,False | |
| 228 | − elif floatpit: | |
| 229 | − try: | |
| 230 | − self.truth = aubio_miditofreq(float(floatpit)) | |
| 231 | − print "ground truth found in filename:", self.truth | |
| 232 | − tasksil = tasksilence(self.input) | |
| 233 | − time,pitch =[],[] | |
| 234 | − while(tasksil.readsize==tasksil.params.hopsize): | |
| 235 | − tasksil() | |
| 236 | − time.append(tasksil.params.step*tasksil.frameread) | |
| 237 | − if not tasksil.issilence: | |
| 238 | − pitch.append(self.truth) | |
| 239 | − else: | |
| 240 | − pitch.append(-1.) | |
| 241 | − return time,pitch #0,aubio_miditofreq(float(floatpit)) | |
| 242 | − except ValueError: | |
| 243 | − # FIXME very weak check | |
| 244 | − if not os.path.isfile(datafile): | |
| 245 | − print "no ground truth found" | |
| 246 | − return 0,0 | |
| 247 | − else: | |
| 248 | − from aubio.txtfile import read_datafile | |
| 249 | − values = read_datafile(datafile) | |
| 250 | − time, pitch = [], [] | |
| 251 | − for i in range(len(values)): | |
| 252 | − time.append(values[i][0]) | |
| 253 | − pitch.append(values[i][1]) | |
| 254 | − return time,pitch | |
| 255 | − | |
| 256 | − def eval(self,results): | |
| 257 | − def mmean(l): | |
| 258 | − return sum(l)/max(float(len(l)),1) | |
| 259 | − | |
| 260 | − from median import percental | |
| 261 | − timet,pitcht = self.gettruth() | |
| 262 | − res = [] | |
| 263 | − for i in results: | |
| 264 | − #print i,self.truth | |
| 265 | − if i <= 0: pass | |
| 266 | − else: res.append(self.truth-i) | |
| 267 | − if not res or len(res) < 3: | |
| 268 | − avg = self.truth; med = self.truth | |
| 269 | − else: | |
| 270 | − avg = mmean(res) | |
| 271 | − med = percental(res,len(res)/2) | |
| 272 | − return self.truth, self.truth-med, self.truth-avg | |
| 273 | − | |
| 274 | − def plot(self,pitch,wplot,oplots,outplot=None): | |
| 275 | − import numarray | |
| 276 | − import Gnuplot | |
| 277 | − | |
| 278 | − downtime = self.params.step*numarray.arange(len(pitch)) | |
| 279 | − oplots.append(Gnuplot.Data(downtime,pitch,with='lines', | |
| 280 | − title=self.params.pitchmode)) | |
| 281 | − | |
| 282 | − | |
| 283 | − def plotplot(self,wplot,oplots,outplot=None,multiplot = 1): | |
| 284 | − from aubio.gnuplot import gnuplot_init, audio_to_array, make_audio_plot | |
| 285 | − import re | |
| 286 | − import Gnuplot | |
| 287 | − # audio data | |
| 288 | − time,data = audio_to_array(self.input) | |
| 289 | − f = make_audio_plot(time,data) | |
| 290 | − | |
| 291 | − # check if ground truth exists | |
| 292 | − timet,pitcht = self.gettruth() | |
| 293 | − if timet and pitcht: | |
| 294 | − oplots = [Gnuplot.Data(timet,pitcht,with='lines', | |
| 295 | − title='ground truth')] + oplots | |
| 296 | − | |
| 297 | − t = Gnuplot.Data(0,0,with='impulses') | |
| 298 | − | |
| 299 | − g = gnuplot_init(outplot) | |
| 300 | − g('set title \'%s\'' % (re.sub('.*/','',self.input))) | |
| 301 | − g('set multiplot') | |
| 302 | − # hack to align left axis | |
| 303 | − g('set lmargin 15') | |
| 304 | − # plot waveform and onsets | |
| 305 | − g('set size 1,0.3') | |
| 306 | − g('set origin 0,0.7') | |
| 307 | − g('set xrange [0:%f]' % max(time)) | |
| 308 | − g('set yrange [-1:1]') | |
| 309 | − g.ylabel('amplitude') | |
| 310 | − g.plot(f) | |
| 311 | − g('unset title') | |
| 312 | − # plot onset detection function | |
| 313 | − | |
| 314 | − | |
| 315 | − g('set size 1,0.7') | |
| 316 | − g('set origin 0,0') | |
| 317 | − g('set xrange [0:%f]' % max(time)) | |
| 318 | − g('set yrange [100:%f]' % self.params.pitchmax) | |
| 319 | − g('set key right top') | |
| 320 | − g('set noclip one') | |
| 321 | − g('set format x ""') | |
| 322 | − g('set log y') | |
| 323 | − #g.xlabel('time (s)') | |
| 324 | − g.ylabel('f0 (Hz)') | |
| 325 | − if multiplot: | |
| 326 | − for i in range(len(oplots)): | |
| 327 | − # plot onset detection functions | |
| 328 | − g('set size 1,%f' % (0.7/(len(oplots)))) | |
| 329 | − g('set origin 0,%f' % (float(i)*0.7/(len(oplots)))) | |
| 330 | − g('set xrange [0:%f]' % max(time)) | |
| 331 | − g.plot(oplots[i]) | |
| 332 | − else: | |
| 333 | − g.plot(*oplots) | |
| 334 | − g('unset multiplot') | |
| 335 | − | |
| 336 | − | |
| 337 | −class taskonset(task): | |
| 338 | − def __init__(self,input,output=None,params=None): | |
| 339 | − """ open the input file and initialize arguments | |
| 340 | − parameters should be set *before* calling this method. | |
| 341 | − """ | |
| 342 | − task.__init__(self,input,params=params) | |
| 343 | − self.opick = onsetpick(self.params.bufsize, | |
| 344 | − self.params.hopsize, | |
| 345 | − self.channels, | |
| 346 | − self.myvec, | |
| 347 | − self.params.threshold, | |
| 348 | − mode=get_onset_mode(self.params.onsetmode), | |
| 349 | − dcthreshold=self.params.dcthreshold, | |
| 350 | − derivate=self.params.derivate) | |
| 351 | − self.olist = [] | |
| 352 | − self.ofunc = [] | |
| 353 | − self.maxofunc = 0 | |
| 354 | − self.last = 0 | |
| 355 | − if self.params.localmin: | |
| 356 | − self.ovalist = [0., 0., 0., 0., 0.] | |
| 357 | − | |
| 358 | − def __call__(self): | |
| 359 | − task.__call__(self) | |
| 360 | − isonset,val = self.opick.do(self.myvec) | |
| 361 | − if (aubio_silence_detection(self.myvec(),self.params.silence)): | |
| 362 | − isonset=0 | |
| 363 | − if self.params.storefunc: | |
| 364 | − self.ofunc.append(val) | |
| 365 | − if self.params.localmin: | |
| 366 | − if val > 0: self.ovalist.append(val) | |
| 367 | − else: self.ovalist.append(0) | |
| 368 | − self.ovalist.pop(0) | |
| 369 | − if (isonset == 1): | |
| 370 | − if self.params.localmin: | |
| 371 | − # find local minima before peak | |
| 372 | − i=len(self.ovalist)-1 | |
| 373 | − while self.ovalist[i-1] < self.ovalist[i] and i > 0: | |
| 374 | − i -= 1 | |
| 375 | − now = (self.frameread+1-i) | |
| 376 | − else: | |
| 377 | − now = self.frameread | |
| 378 | − # take back delay | |
| 379 | − if self.params.delay != 0.: now -= self.params.delay | |
| 380 | − if now < 0 : | |
| 381 | − now = 0 | |
| 382 | − if self.params.mintol: | |
| 383 | − # prune doubled | |
| 384 | − if (now - self.last) > self.params.mintol: | |
| 385 | − self.last = now | |
| 386 | − return now, val | |
| 387 | − else: | |
| 388 | − return now, val | |
| 389 | − | |
| 390 | − | |
| 391 | − def fprint(self,foo): | |
| 392 | − print self.params.step*foo[0] | |
| 393 | − | |
| 394 | − def eval(self,inputdata,ftru,mode='roc',vmode=''): | |
| 395 | − from txtfile import read_datafile | |
| 396 | − from onsetcompare import onset_roc, onset_diffs, onset_rocloc | |
| 397 | − ltru = read_datafile(ftru,depth=0) | |
| 398 | − lres = [] | |
| 399 | − for i in range(len(inputdata)): lres.append(inputdata[i][0]*self.params.step) | |
| 400 | − if vmode=='verbose': | |
| 401 | − print "Running with mode %s" % self.params.onsetmode, | |
| 402 | − print " and threshold %f" % self.params.threshold, | |
| 403 | − print " on file", self.input | |
| 404 | − #print ltru; print lres | |
| 405 | − if mode == 'local': | |
| 406 | − l = onset_diffs(ltru,lres,self.params.tol) | |
| 407 | − mean = 0 | |
| 408 | − for i in l: mean += i | |
| 409 | − if len(l): mean = "%.3f" % (mean/len(l)) | |
| 410 | − else: mean = "?0" | |
| 411 | − return l, mean | |
| 412 | − elif mode == 'roc': | |
| 413 | − self.orig, self.missed, self.merged, \ | |
| 414 | − self.expc, self.bad, self.doubled = \ | |
| 415 | − onset_roc(ltru,lres,self.params.tol) | |
| 416 | − elif mode == 'rocloc': | |
| 417 | − self.v = {} | |
| 418 | − self.v['orig'], self.v['missed'], self.v['Tm'], \ | |
| 419 | − self.v['expc'], self.v['bad'], self.v['Td'], \ | |
| 420 | − self.v['l'], self.v['labs'] = \ | |
| 421 | − onset_rocloc(ltru,lres,self.params.tol) | |
| 422 | − | |
| 423 | − def plot(self,onsets,ofunc,wplot,oplots,nplot=False): | |
| 424 | − import Gnuplot, Gnuplot.funcutils | |
| 425 | − import aubio.txtfile | |
| 426 | − import os.path | |
| 427 | − import numarray | |
| 428 | − from aubio.onsetcompare import onset_roc | |
| 429 | − | |
| 430 | − x1,y1,y1p = [],[],[] | |
| 431 | − oplot = [] | |
| 432 | − if self.params.onsetmode in ('mkl','kl'): ofunc[0:10] = [0] * 10 | |
| 433 | − | |
| 434 | − self.lenofunc = len(ofunc) | |
| 435 | − self.maxofunc = max(ofunc) | |
| 436 | − # onset detection function | |
| 437 | − downtime = numarray.arange(len(ofunc))*self.params.step | |
| 438 | − oplot.append(Gnuplot.Data(downtime,ofunc,with='lines',title=self.params.onsetmode)) | |
| 439 | − | |
| 440 | − # detected onsets | |
| 441 | − if not nplot: | |
| 442 | − for i in onsets: | |
| 443 | − x1.append(i[0]*self.params.step) | |
| 444 | − y1.append(self.maxofunc) | |
| 445 | − y1p.append(-self.maxofunc) | |
| 446 | − #x1 = numarray.array(onsets)*self.params.step | |
| 447 | − #y1 = self.maxofunc*numarray.ones(len(onsets)) | |
| 448 | − if x1: | |
| 449 | − oplot.append(Gnuplot.Data(x1,y1,with='impulses')) | |
| 450 | − wplot.append(Gnuplot.Data(x1,y1p,with='impulses')) | |
| 451 | − | |
| 452 | − oplots.append(oplot) | |
| 453 | − | |
| 454 | − # check if ground truth datafile exists | |
| 455 | − datafile = self.input.replace('.wav','.txt') | |
| 456 | − if datafile == self.input: datafile = "" | |
| 457 | − if not os.path.isfile(datafile): | |
| 458 | − self.title = "" #"(no ground truth)" | |
| 459 | − else: | |
| 460 | − t_onsets = aubio.txtfile.read_datafile(datafile) | |
| 461 | − x2 = numarray.array(t_onsets).resize(len(t_onsets)) | |
| 462 | − y2 = self.maxofunc*numarray.ones(len(t_onsets)) | |
| 463 | − wplot.append(Gnuplot.Data(x2,y2,with='impulses')) | |
| 464 | − | |
| 465 | − tol = 0.050 | |
| 466 | − | |
| 467 | − orig, missed, merged, expc, bad, doubled = \ | |
| 468 | − onset_roc(x2,x1,tol) | |
| 469 | − self.title = "GD %2.3f%% FP %2.3f%%" % \ | |
| 470 | − ((100*float(orig-missed-merged)/(orig)), | |
| 471 | − (100*float(bad+doubled)/(orig))) | |
| 472 | − | |
| 473 | − | |
| 474 | − def plotplot(self,wplot,oplots,outplot=None): | |
| 475 | − from aubio.gnuplot import gnuplot_init, audio_to_array, make_audio_plot | |
| 476 | − import re | |
| 477 | − # audio data | |
| 478 | − time,data = audio_to_array(self.input) | |
| 479 | − wplot = [make_audio_plot(time,data)] + wplot | |
| 480 | − self.title = self.input | |
| 481 | − # prepare the plot | |
| 482 | − g = gnuplot_init(outplot) | |
| 483 | − | |
| 484 | − g('set multiplot') | |
| 485 | − | |
| 486 | − # hack to align left axis | |
| 487 | − g('set lmargin 6') | |
| 488 | − g('set tmargin 0') | |
| 489 | − g('set format x ""') | |
| 490 | − g('set format y ""') | |
| 491 | − g('set noytics') | |
| 492 | − | |
| 493 | − for i in range(len(oplots)): | |
| 494 | − # plot onset detection functions | |
| 495 | − g('set size 1,%f' % (0.7/(len(oplots)))) | |
| 496 | − g('set origin 0,%f' % (float(i)*0.7/(len(oplots)))) | |
| 497 | − g('set xrange [0:%f]' % (self.lenofunc*self.params.step)) | |
| 498 | − g.plot(*oplots[i]) | |
| 499 | − | |
| 500 | − g('set tmargin 3.0') | |
| 501 | − g('set xlabel "time (s)" 1,0') | |
| 502 | − g('set format x "%1.1f"') | |
| 503 | − | |
| 504 | − g('set title \'%s %s\'' % (re.sub('.*/','',self.input),self.title)) | |
| 505 | − | |
| 506 | − # plot waveform and onsets | |
| 507 | − g('set size 1,0.3') | |
| 508 | − g('set origin 0,0.7') | |
| 509 | − g('set xrange [0:%f]' % max(time)) | |
| 510 | − g('set yrange [-1:1]') | |
| 511 | − g.ylabel('amplitude') | |
| 512 | − g.plot(*wplot) | |
| 513 | − | |
| 514 | − g('unset multiplot') | |
| 515 | − | |
| 516 | −class taskcut(task): | |
| 517 | − def __init__(self,input,slicetimes,params=None,output=None): | |
| 518 | − """ open the input file and initialize arguments | |
| 519 | − parameters should be set *before* calling this method. | |
| 520 | − """ | |
| 521 | − task.__init__(self,input,output=None,params=params) | |
| 522 | − self.newname = "%s%s%09.5f%s%s" % (self.input.split(".")[0].split("/")[-1],".", | |
| 523 | − self.frameread*self.params.step,".",self.input.split(".")[-1]) | |
| 524 | − self.fileo = sndfile(self.newname,model=self.filei) | |
| 525 | − self.myvec = fvec(self.params.hopsize,self.channels) | |
| 526 | − self.mycopy = fvec(self.params.hopsize,self.channels) | |
| 527 | − self.slicetimes = slicetimes | |
| 528 | − | |
| 529 | − def __call__(self): | |
| 530 | − task.__call__(self) | |
| 531 | − # write to current file | |
| 532 | − if len(self.slicetimes) and self.frameread >= self.slicetimes[0][0]: | |
| 533 | − self.slicetimes.pop(0) | |
| 534 | − # write up to 1st zero crossing | |
| 535 | − zerocross = 0 | |
| 536 | − while ( abs( self.myvec.get(zerocross,0) ) > self.params.zerothres ): | |
| 537 | − zerocross += 1 | |
| 538 | − writesize = self.fileo.write(zerocross,self.myvec) | |
| 539 | − fromcross = 0 | |
| 540 | − while (zerocross < self.readsize): | |
| 541 | − for i in range(self.channels): | |
| 542 | − self.mycopy.set(self.myvec.get(zerocross,i),fromcross,i) | |
| 543 | − fromcross += 1 | |
| 544 | − zerocross += 1 | |
| 545 | − del self.fileo | |
| 546 | − self.fileo = sndfile("%s%s%09.5f%s%s" % | |
| 547 | − (self.input.split(".")[0].split("/")[-1],".", | |
| 548 | − self.frameread*self.params.step,".",self.input.split(".")[-1]),model=self.filei) | |
| 549 | − writesize = self.fileo.write(fromcross,self.mycopy) | |
| 550 | − else: | |
| 551 | − writesize = self.fileo.write(self.readsize,self.myvec) | |
| 552 | − | |
| 553 | −class taskbeat(taskonset): | |
| 554 | − def __init__(self,input,params=None,output=None): | |
| 555 | − """ open the input file and initialize arguments | |
| 556 | − parameters should be set *before* calling this method. | |
| 557 | − """ | |
| 558 | − taskonset.__init__(self,input,output=None,params=params) | |
| 559 | − self.btwinlen = 512**2/self.params.hopsize | |
| 560 | − self.btstep = self.btwinlen/4 | |
| 561 | − self.btoutput = fvec(self.btstep,self.channels) | |
| 562 | − self.dfframe = fvec(self.btwinlen,self.channels) | |
| 563 | − self.bt = beattracking(self.btwinlen,self.channels) | |
| 564 | − self.pos2 = 0 | |
| 565 | − | |
| 566 | − def __call__(self): | |
| 567 | − taskonset.__call__(self) | |
| 568 | − # write to current file | |
| 569 | − if self.pos2 == self.btstep - 1 : | |
| 570 | − self.bt.do(self.dfframe,self.btoutput) | |
| 571 | − for i in range (self.btwinlen - self.btstep): | |
| 572 | − self.dfframe.set(self.dfframe.get(i+self.btstep,0),i,0) | |
| 573 | − for i in range(self.btwinlen - self.btstep, self.btwinlen): | |
| 574 | − self.dfframe.set(0,i,0) | |
| 575 | − self.pos2 = -1; | |
| 576 | − self.pos2 += 1 | |
| 577 | − val = self.opick.pp.getval() | |
| 578 | − self.dfframe.set(val,self.btwinlen - self.btstep + self.pos2,0) | |
| 579 | − i=0 | |
| 580 | − for i in range(1,int( self.btoutput.get(0,0) ) ): | |
| 581 | − if self.pos2 == self.btoutput.get(i,0) and \ | |
| 582 | − aubio_silence_detection(self.myvec(), | |
| 583 | − self.params.silence)!=1: | |
| 584 | − return self.frameread, 0 | |
| 585 | − | |
| 586 | − def eval(self,results): | |
| 587 | − pass | |
| @@ -5,7 +5,7 @@ · 4 unmodified lines | ||
| 5 | 5 | """ |
| 6 | 6 | |
| 7 | 7 | import sys |
| 8 | −from aubio.tasks import * | |
| 8 | +from aubio.task import * | |
| 9 | 9 | |
| 10 | 10 | usage = "usage: %s [options] -i soundfile" % sys.argv[0] |
| 11 | 11 | |
| @@ -5,7 +5,7 @@ · 4 unmodified lines | ||
| 5 | 5 | """ |
| 6 | 6 | |
| 7 | 7 | import sys |
| 8 | −from aubio.tasks import * | |
| 8 | +from aubio.task import * | |
| 9 | 9 | |
| 10 | 10 | usage = "usage: %s [options] -i soundfile" % sys.argv[0] |
| 11 | 11 | |