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--- python/aubio/aubioclass.py
+++ python/aubio/aubioclass.py
@@ -42,8 +42,10 @@
self.file = new_aubio_sndfile_wo(model.file,filename)
else:
self.file = new_aubio_sndfile_ro(filename)
+ if self.file == None:
+ raise(ValueError, "failed opening file %s" % filename)
def __del__(self):
- del_aubio_sndfile(self.file)
+ if self.file != None: del_aubio_sndfile(self.file)
def info(self):
aubio_sndfile_info(self.file)
def samplerate(self):
@@ -126,7 +128,7 @@
channels=1,samplerate=44100.,omode=aubio_pitchm_freq,yinthresh=0.1):
self.pitchp = new_aubio_pitchdetection(bufsize,hopsize,channels,
samplerate,mode,omode)
- aubio_pitchdetection_set_yinthresh(self.pitchp,yinthresh)
+ aubio_pitchdetection_set_yinthresh(self.pitchp,yinthresh)
#self.filt = filter(srate,"adsgn")
def __del__(self):
del_aubio_pitchdetection(self.pitchp)
--- python/aubio/bench/onset.py
+++ python/aubio/bench/onset.py
@@ -111,7 +111,7 @@
for i in self.vlist:
gd.append(i['GD'])
fp.append(i['FP'])
- d.append(Gnuplot.Data(fp, gd, with='linespoints',
+ d.append(Gnuplot.Data(fp, gd, with_='linespoints',
title="%s %s" % (plottitle,i['mode']) ))
def plotplotroc(self,d,outplot=0,extension='ps'):
@@ -147,7 +147,7 @@
for i in self.vlist:
x.append(i['prec'])
y.append(i['recl'])
- d.append(Gnuplot.Data(x, y, with='linespoints',
+ d.append(Gnuplot.Data(x, y, with_='linespoints',
title="%s %s" % (plottitle,i['mode']) ))
def plotplotpr(self,d,outplot=0,extension='ps'):
@@ -172,7 +172,7 @@
for i in self.vlist:
x.append(i['thres'])
y.append(i['dist'])
- d.append(Gnuplot.Data(x, y, with='linespoints',
+ d.append(Gnuplot.Data(x, y, with_='linespoints',
title="%s %s" % (plottitle,i['mode']) ))
def plotplotfmeas(self,d,outplot="",extension='ps', title="F-measure"):
@@ -205,7 +205,7 @@
for i in self.vlist:
x.append(i[var])
y.append(i['dist'])
- d.append(Gnuplot.Data(x, y, with='linespoints',
+ d.append(Gnuplot.Data(x, y, with_='linespoints',
title="%s %s" % (plottitle,i['mode']) ))
def plotplotfmeasvar(self,d,var,outplot="",extension='ps', title="F-measure"):
@@ -244,7 +244,7 @@
total = v['Torig']
for i in range(len(per)): per[i] /= total/100.
- d.append(Gnuplot.Data(val, per, with='fsteps',
+ d.append(Gnuplot.Data(val, per, with_='fsteps',
title="%s %s" % (plottitle,v['mode']) ))
#d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (mean,smean))
#d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (amean,samean))
@@ -275,7 +275,7 @@
total = v['Torig']
for i in range(len(per)): per[i] /= total/100.
- d.append(Gnuplot.Data(val, per, with='fsteps',
+ d.append(Gnuplot.Data(val, per, with_='fsteps',
title="%s %s" % (plottitle,v['mode']) ))
#d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (mean,smean))
#d.append('mean=%f,sigma=%f,eps(x) title \"\"'% (amean,samean))
--- python/aubio/gnuplot.py
+++ python/aubio/gnuplot.py
@@ -23,7 +23,7 @@
def audio_to_array(filename):
import aubio.aubioclass
- import numarray
+ from numpy import arange
hopsize = 2048
filei = aubio.aubioclass.sndfile(filename)
framestep = 1/(filei.samplerate()+0.)
@@ -39,7 +39,7 @@
while (curpos < readsize):
data.append(myvec.get(curpos,i))
curpos+=1
- time = numarray.arange(len(data))*framestep
+ time = arange(len(data))*framestep
return time,data
def plot_audio(filenames, g, options):
@@ -143,29 +143,29 @@
def downsample_audio(time,data,maxpoints=10000):
""" resample audio data to last only maxpoints """
- import numarray
+ from numpy import array, resize
length = len(time)
downsample = length/maxpoints
if downsample == 0: downsample = 1
- x = numarray.array(time).resize(length)[0:-1:downsample]
- y = numarray.array(data).resize(length)[0:-1:downsample]
+ x = resize(array(time),length)[0:-1:downsample]
+ y = resize(array(data),length)[0:-1:downsample]
return x,y
def make_audio_plot(time,data,maxpoints=10000):
""" create gnuplot plot from an audio file """
import Gnuplot, Gnuplot.funcutils
x,y = downsample_audio(time,data,maxpoints=maxpoints)
- return Gnuplot.Data(x,y,with='lines')
+ return Gnuplot.Data(x,y,with_='lines')
def make_audio_envelope(time,data,maxpoints=10000):
""" create gnuplot plot from an audio file """
- import numarray
+ from numpy import array
import Gnuplot, Gnuplot.funcutils
bufsize = 500
- x = [i.mean() for i in numarray.array(time).resize(len(time)/bufsize,bufsize)]
- y = [i.mean() for i in numarray.array(data).resize(len(time)/bufsize,bufsize)]
+ x = [i.mean() for i in resize(array(time), (len(time)/bufsize,bufsize))]
+ y = [i.mean() for i in resize(array(data), (len(time)/bufsize,bufsize))]
x,y = downsample_audio(x,y,maxpoints=maxpoints)
- return Gnuplot.Data(x,y,with='lines')
+ return Gnuplot.Data(x,y,with_='lines')
def gnuplot_addargs(parser):
""" add common gnuplot argument to OptParser object """
--- python/aubio/onsetcompare.py
+++ python/aubio/onsetcompare.py
@@ -106,7 +106,7 @@
return orig, missed, merged, expc, bad, doubled, l, labs
def notes_roc (la, lb, eps):
- from numarray import transpose, add, resize
+ from numpy import transpose, add, resize
""" creates a matrix of size len(la)*len(lb) then look for hit and miss
in it within eps tolerance windows """
gdn,fpw,fpg,fpa,fdo,fdp = 0,0,0,0,0,0
--- python/aubio/task/beat.py
+++ python/aubio/task/beat.py
@@ -247,7 +247,7 @@
def plot(self,oplots,results):
import Gnuplot
- oplots.append(Gnuplot.Data(results,with='linespoints',title="auto"))
+ oplots.append(Gnuplot.Data(results,with_='linespoints',title="auto"))
def plotplot(self,wplot,oplots,outplot=None,extension=None,xsize=1.,ysize=1.,spectro=False):
import Gnuplot
@@ -258,5 +258,5 @@
#f = make_audio_plot(time,data)
g = gnuplot_create(outplot=outplot, extension=extension)
- oplots = [Gnuplot.Data(self.gettruth(),with='linespoints',title="orig")] + oplots
+ oplots = [Gnuplot.Data(self.gettruth(),with_='linespoints',title="orig")] + oplots
g.plot(*oplots)
--- python/aubio/task/notes.py
+++ python/aubio/task/notes.py
@@ -92,18 +92,17 @@
return now, onset, freq, ifreq
def plot(self,now,onset,freq,ifreq,oplots):
- import numarray
import Gnuplot
- oplots.append(Gnuplot.Data(now,freq,with='lines',
+ oplots.append(Gnuplot.Data(now,freq,with_='lines',
title=self.params.pitchmode))
- oplots.append(Gnuplot.Data(now,ifreq,with='lines',
+ oplots.append(Gnuplot.Data(now,ifreq,with_='lines',
title=self.params.pitchmode))
temponsets = []
for i in onset:
temponsets.append(i*1000)
- oplots.append(Gnuplot.Data(now,temponsets,with='impulses',
+ oplots.append(Gnuplot.Data(now,temponsets,with_='impulses',
title=self.params.pitchmode))
def plotplot(self,wplot,oplots,outplot=None,multiplot = 0):
@@ -117,10 +116,10 @@
# check if ground truth exists
#timet,pitcht = self.gettruth()
#if timet and pitcht:
- # oplots = [Gnuplot.Data(timet,pitcht,with='lines',
+ # oplots = [Gnuplot.Data(timet,pitcht,with_='lines',
# title='ground truth')] + oplots
- t = Gnuplot.Data(0,0,with='impulses')
+ t = Gnuplot.Data(0,0,with_='impulses')
g = gnuplot_init(outplot)
g('set title \'%s\'' % (re.sub('.*/','',self.input)))
--- python/aubio/task/onset.py
+++ python/aubio/task/onset.py
@@ -92,7 +92,7 @@
import Gnuplot, Gnuplot.funcutils
import aubio.txtfile
import os.path
- import numarray
+ from numpy import arange, array, ones
from aubio.onsetcompare import onset_roc
x1,y1,y1p = [],[],[]
@@ -102,8 +102,8 @@
self.lenofunc = len(ofunc)
self.maxofunc = max(ofunc)
# onset detection function
- downtime = numarray.arange(len(ofunc))*self.params.step
- oplot.append(Gnuplot.Data(downtime,ofunc,with='lines',title=self.params.onsetmode))
+ downtime = arange(len(ofunc))*self.params.step
+ oplot.append(Gnuplot.Data(downtime,ofunc,with_='lines',title=self.params.onsetmode))
# detected onsets
if not nplot:
@@ -111,11 +111,11 @@
x1.append(i[0]*self.params.step)
y1.append(self.maxofunc)
y1p.append(-self.maxofunc)
- #x1 = numarray.array(onsets)*self.params.step
- #y1 = self.maxofunc*numarray.ones(len(onsets))
+ #x1 = array(onsets)*self.params.step
+ #y1 = self.maxofunc*ones(len(onsets))
if x1:
- oplot.append(Gnuplot.Data(x1,y1,with='impulses'))
- wplot.append(Gnuplot.Data(x1,y1p,with='impulses'))
+ oplot.append(Gnuplot.Data(x1,y1,with_='impulses'))
+ wplot.append(Gnuplot.Data(x1,y1p,with_='impulses'))
oplots.append((oplot,self.params.onsetmode,self.maxofunc))
@@ -126,9 +126,9 @@
self.title = "" #"(no ground truth)"
else:
t_onsets = aubio.txtfile.read_datafile(datafile)
- x2 = numarray.array(t_onsets).resize(len(t_onsets))
- y2 = self.maxofunc*numarray.ones(len(t_onsets))
- wplot.append(Gnuplot.Data(x2,y2,with='impulses'))
+ x2 = array(t_onsets).resize(len(t_onsets))
+ y2 = self.maxofunc*ones(len(t_onsets))
+ wplot.append(Gnuplot.Data(x2,y2,with_='impulses'))
tol = 0.050
--- python/aubio/task/pitch.py
+++ python/aubio/task/pitch.py
@@ -156,7 +156,7 @@
time = [ (i+self.params.pitchdelay)*self.params.step for i in range(len(pitch)) ]
pitch = [aubio_freqtomidi(i) for i in pitch]
- oplots.append(Gnuplot.Data(time,pitch,with='lines',
+ oplots.append(Gnuplot.Data(time,pitch,with_='lines',
title=self.params.pitchmode))
titles.append(self.params.pitchmode)
@@ -170,7 +170,7 @@
if truth:
timet,pitcht = self.gettruth()
if timet and pitcht:
- oplots = [Gnuplot.Data(timet,pitcht,with='lines',
+ oplots = [Gnuplot.Data(timet,pitcht,with_='lines',
title='ground truth')] + oplots
g = gnuplot_create(outplot=outplot, extension=extension)
--- python/aubiofilter-notes
+++ python/aubiofilter-notes
@@ -78,7 +78,7 @@
from aubio import notefilter,txtfile,gnuplot
""" load midi and raw data """
- from numarray import array
+ from numpy import array
notelist = array(txtfile.read_datafile(input))
""" filter it out """
notelist_filtered = notefilter.segraw_onsets4(notelist,winlength,eps)
--- python/aubionotes
+++ python/aubionotes
@@ -4,7 +4,6 @@
import aubio.aubioclass
import aubio.median
- #from numarray import around
from math import floor
hopsize = 512
bufsize = 4096
--- python/aubioplot-notes
+++ python/aubioplot-notes
@@ -18,7 +18,7 @@
def main (sysargs) :
from aubio.txtfile import read_datafile
from aubio.gnuplot import plotnote,plotnote_do
- from numarray import array
+ from numpy import array
filein,fileout = parse_args(sysargs)
#print 'checking', fileerr, 'against', fileorg
""" load midi and raw data """
--- python/aubioweb.py
+++ python/aubioweb.py
@@ -11,7 +11,7 @@
sndfile-programs (sndfile-info)
vorbis-tools (oggenc)
python-gnuplot
-python-numarray
+python-numpy
Try the command line tools in aubio/python to test your installation.
--- python/aubio/plot/keyboard.py
+++ python/aubio/plot/keyboard.py
@@ -30,8 +30,8 @@
yb = [y0+(y1-y0)*2/3. for i in range(len(xb))]
ybdelta = [(y1-y0)*1/3. for i in range(len(xb))]
- whites = Gnuplot.Data(xw,yw,xwdelta,ywdelta,with = 'boxxyerrorbars')
- blacks = Gnuplot.Data(xb,yb,xbdelta,ybdelta,with = 'boxxyerrorbars fill solid')
+ whites = Gnuplot.Data(xw,yw,xwdelta,ywdelta,with_ = 'boxxyerrorbars')
+ blacks = Gnuplot.Data(xb,yb,xbdelta,ybdelta,with_ = 'boxxyerrorbars fill solid')
return blacks,whites
|
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