ref: 1e3089c97d3e6f364e4bcea2f2c09c1963947e6a
parent: 0fe9aab4da39efa4585fccb5e3d931389f7ee592
author: Paul Brossier <piem@altern.org>
date: Tue Feb 28 22:21:59 EST 2006
remove old plot_pitch, plot_onset and getonsets, cutfile, getpitch remove old plot_pitch, plot_onset and getonsets, cutfile, getpitch
--- a/python/aubio/gnuplot.py
+++ b/python/aubio/gnuplot.py
@@ -149,151 +149,6 @@
y = numarray.array(data).resize(length)[0:-1:downsample]
return Gnuplot.Data(x,y,with='lines')
-
-def plot_onsets(filename, onsets, ofunc, samplerate=44100., hopsize=512, outplot=None):
- import Gnuplot, Gnuplot.funcutils
- import aubio.txtfile
- import os.path
- import numarray
- import re
- from aubio.onsetcompare import onset_roc
-
- d,d2 = [],[]
- maxofunc = 0
- for i in range(len(onsets)):
- if len(onsets[i]) == 0: onsets[i] = [0.];
-
- # onset detection function
- downtime = (hopsize/samplerate)*numarray.arange(len(ofunc[i]))
- d.append(Gnuplot.Data(downtime,ofunc[i],with='lines'))
- maxofunc = max(max(ofunc[i]), maxofunc)
-
- for i in range(len(onsets)):
- # detected onsets
- x1 = (hopsize/samplerate)*numarray.array(onsets[i])
- y1 = maxofunc*numarray.ones(len(onsets[i]))
- d.append(Gnuplot.Data(x1,y1,with='impulses'))
- d2.append(Gnuplot.Data(x1,-y1,with='impulses'))
-
- # check if datafile exists truth
- datafile = filename.replace('.wav','.txt')- if datafile == filename: datafile = ""
- if not os.path.isfile(datafile):
- title = "truth file not found"
- t = Gnuplot.Data(0,0,with='impulses')
- else:
- t_onsets = aubio.txtfile.read_datafile(datafile)
- y2 = maxofunc*numarray.ones(len(t_onsets))
- x2 = numarray.array(t_onsets).resize(len(t_onsets))
- d2.append(Gnuplot.Data(x2,y2,with='impulses'))
-
- tol = 0.050
-
- orig, missed, merged, expc, bad, doubled = \
- onset_roc(x2,x1,tol)
- title = "GD %2.3f%% FP %2.3f%%" % \
- ((100*float(orig-missed-merged)/(orig)),
- (100*float(bad+doubled)/(orig)))
-
- # audio data
- time,data = audio_to_array(filename)
- d2.append(make_audio_plot(time,data))
-
- # prepare the plot
- g = gnuplot_init(outplot)
-
- g('set title \'%s %s\'' % (re.sub('.*/','',filename),title))-
- g('set multiplot')-
- # hack to align left axis
- g('set lmargin 15')-
- # plot waveform and onsets
- g('set size 1,0.3')- g('set origin 0,0.7')- g('set xrange [0:%f]' % max(time)) - g('set yrange [-1:1]') - g.ylabel('amplitude')- g.plot(*d2)
-
- g('unset title')-
- # plot onset detection function
- g('set size 1,0.7')- g('set origin 0,0')- g('set xrange [0:%f]' % (hopsize/samplerate*len(ofunc[0])))- g('set yrange [0:%f]' % (maxofunc*1.01))- g.xlabel('time')- g.ylabel('onset detection value')- g.plot(*d)
-
- g('unset multiplot')-
-
-def plot_pitch(filename, pitch, samplerate=44100., hopsize=512, outplot=None):
- import aubio.txtfile
- import os.path
- import numarray
- import Gnuplot
- import re
-
- d = []
- maxpitch = 1000.
- for i in range(len(pitch)):
- #if len(pitch[i]) == 0: pitch[i] = [0.];
-
- downtime = (hopsize/samplerate)*numarray.arange(len(pitch[i]))
- d.append(Gnuplot.Data(downtime,pitch[i],with='lines',
- title=('%d' % i)))- maxpitch = max(maxpitch,max(pitch[i][:])*1.1)
-
- # check if ground truth exists
- datafile = filename.replace('.wav','.txt')- if datafile == filename: datafile = ""
- if not os.path.isfile(datafile):
- title = "truth file not found"
- t = Gnuplot.Data(0,0,with='impulses')
- else:
- title = "truth file plotting not implemented yet"
- values = aubio.txtfile.read_datafile(datafile)
- if (len(datafile[0])) > 1:
- time, pitch = [], []
- for i in range(len(values)):
- time.append(values[i][0])
- pitch.append(values[i][1])
- d.append(Gnuplot.Data(time,pitch,with='lines',
- title='ground truth'))
-
- # audio data
- time,data = audio_to_array(filename)
- f = make_audio_plot(time,data)
-
- g = gnuplot_init(outplot)
- g('set title \'%s %s\'' % (re.sub('.*/','',filename),title))- g('set multiplot')- # hack to align left axis
- g('set lmargin 15')- # plot waveform and onsets
- g('set size 1,0.3')- g('set origin 0,0.7')- g('set xrange [0:%f]' % max(time)) - g('set yrange [-1:1]') - g.ylabel('amplitude')- g.plot(f)
- g('unset title')- # plot onset detection function
- g('set size 1,0.7')- g('set origin 0,0')- g('set xrange [0:%f]' % max(time))- g('set yrange [40:%f]' % maxpitch) - g('set key right top')- g('set noclip one') - g.xlabel('time')- g.ylabel('frequency (Hz)')- g.plot(*d)
- g('unset multiplot')-
def gnuplot_init(outplot,debug=0,persist=1):
# prepare the plot
import Gnuplot
--- a/python/aubio/tasks.py
+++ b/python/aubio/tasks.py
@@ -71,129 +71,6 @@
print "error: unknown pitch detection output selected"
sys.exit(1)
-
-#def getonsets(filein,threshold=0.2,silence=-70.,bufsize=1024,hopsize=512,
-# mode='dual',localmin=False,storefunc=False,derivate=False):
-# frameread = 0
-# filei = sndfile(filein)
-# channels = filei.channels()
-# myvec = fvec(hopsize,channels)
-# readsize = filei.read(hopsize,myvec)
-# opick = onsetpick(bufsize,hopsize,channels,myvec,threshold,
-# mode=mode,derivate=derivate)
-# mylist = list()
-# if localmin:
-# ovalist = [0., 0., 0., 0., 0.]
-# ofunclist = []
-# while(readsize):
-# readsize = filei.read(hopsize,myvec)
-# isonset,val = opick.do(myvec)
-# if (aubio_silence_detection(myvec(),silence)):
-# isonset=0
-# if localmin:
-# if val > 0: ovalist.append(val)
-# else: ovalist.append(0)
-# ovalist.pop(0)
-# if storefunc:
-# ofunclist.append(val)
-# if (isonset == 1):
-# if localmin:
-# i=len(ovalist)-1
-# # find local minima before peak
-# while ovalist[i-1] < ovalist[i] and i > 0:
-# i -= 1
-# now = (frameread+1-i)
-# else:
-# now = frameread
-# if now > 0 :
-# mylist.append(now)
-# else:
-# now = 0
-# mylist.append(now)
-# frameread += 1
-# return mylist, ofunclist
-#
-#def cutfile(filein,slicetimes,zerothres=0.008,bufsize=1024,hopsize=512):
-# frameread = 0
-# readsize = hopsize
-# filei = sndfile(filein)
-# framestep = hopsize/(filei.samplerate()+0.)
-# channels = filei.channels()
-# newname = "%s%s%09.5f%s%s" % (filein.split(".")[0].split("/")[-1],".",-# frameread*framestep,".",filein.split(".")[-1])-# fileo = sndfile(newname,model=filei)
-# myvec = fvec(hopsize,channels)
-# mycopy = fvec(hopsize,channels)
-# while(readsize==hopsize):
-# readsize = filei.read(hopsize,myvec)
-# # write to current file
-# if len(slicetimes) and frameread >= slicetimes[0]:
-# slicetimes.pop(0)
-# # write up to 1st zero crossing
-# zerocross = 0
-# while ( abs( myvec.get(zerocross,0) ) > zerothres ):
-# zerocross += 1
-# writesize = fileo.write(zerocross,myvec)
-# fromcross = 0
-# while (zerocross < readsize):
-# for i in range(channels):
-# mycopy.set(myvec.get(zerocross,i),fromcross,i)
-# fromcross += 1
-# zerocross += 1
-# del fileo
-# fileo = sndfile("%s%s%09.5f%s%s" % -# (filein.split(".")[0].split("/")[-1],".",-# frameread*framestep,".",filein.split(".")[-1]),model=filei)-# writesize = fileo.write(fromcross,mycopy)
-# else:
-# writesize = fileo.write(readsize,myvec)
-# frameread += 1
-# del fileo
-#
-#
-#def getsilences(filein,hopsize=512,silence=-70):
-# frameread = 0
-# filei = sndfile(filein)
-# srate = filei.samplerate()
-# channels = filei.channels()
-# myvec = fvec(hopsize,channels)
-# readsize = filei.read(hopsize,myvec)
-# mylist = []
-# wassilence = 0
-# while(readsize==hopsize):
-# readsize = filei.read(hopsize,myvec)
-# if (aubio_silence_detection(myvec(),silence)==1):
-# if wassilence == 0:
-# mylist.append(frameread)
-# wassilence == 1
-# else: wassilence = 0
-# frameread += 1
-# return mylist
-#
-#
-#def getpitch(filein,mode=aubio_pitch_mcomb,bufsize=1024,hopsize=512,omode=aubio_pitchm_freq,
-# samplerate=44100.,silence=-70):
-# frameread = 0
-# filei = sndfile(filein)
-# srate = filei.samplerate()
-# channels = filei.channels()
-# myvec = fvec(hopsize,channels)
-# readsize = filei.read(hopsize,myvec)
-# pitchdet = pitchdetection(mode=mode,bufsize=bufsize,hopsize=hopsize,
-# channels=channels,samplerate=srate,omode=omode)
-# mylist = []
-# while(readsize==hopsize):
-# readsize = filei.read(hopsize,myvec)
-# freq = pitchdet(myvec)
-# #print "%.3f %.2f" % (now,freq)
-# if (aubio_silence_detection(myvec(),silence)!=1):
-# mylist.append(freq)
-# else:
-# mylist.append(-1.)
-# frameread += 1
-# return mylist
-
-
class taskparams(object):
""" default parameters for task classes """
def __init__(self,input=None,output=None):