Changeset c32976a5 for python/aubio/tasks.py

Timestamp:

Dec 22, 2005, 5:54:29 PM (19 years ago)

Author:

Paul Brossier <piem@altern.org>

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:

ada5baf

Parents:

1dae4eb

Message:

add taskbeat, make taskparams an object subclass, fix bug on localmin
add taskbeat, make taskparams an object subclass, fix bug on localmin

File:

• python/aubio/tasks.py (modified) (7 diffs)

python/aubio/tasks.py

@@ -196 +196 @@
 
 
-class taskparams:
+class taskparams(object):
         """ default parameters for task classes """
         def __init__(self,input=None,output=None):
@@ -289 +289 @@
         def gettruth(self):
                 """ big hack to extract midi note from /path/to/file.<midinote>.wav """
-                return float(self.input.split('.')[-2])
-                
+                floatpit = self.input.split('.')[-2]
+                try:
+                        return float(floatpit)
+                except ValueError:
+                        print "ERR: no truth file found"
+                        return 0
 
         def eval(self,results):
@@ -340 +344 @@
                 self.maxofunc = 0
                 if self.params.localmin:
-                        ovalist   = [0., 0., 0., 0., 0.]
+                        self.ovalist   = [0., 0., 0., 0., 0.]
 
         def __call__(self):
@@ -350 +354 @@
                         self.ofunc.append(val)
                 if self.params.localmin:
-                        if val > 0: ovalist.append(val)
-                        else: ovalist.append(0)
-                        ovalist.pop(0)
+                        if val > 0: self.ovalist.append(val)
+                        else: self.ovalist.append(0)
+                        self.ovalist.pop(0)
                 if (isonset == 1):
                         if self.params.localmin:
@@ -366 +370 @@
                         return now, val 
 
+        def gettruth(self):
+                from os.path import isfile
+                ftru = '.'.join(self.input.split('.')[:-1])
+                ftru = '.'.join((ftru,'txt'))
+                if isfile(ftru): return ftru
+                else:            return
+
         def eval(self,lres):
                 from txtfile import read_datafile 
@@ -372 +383 @@
                 vmode = 'verbose'
                 vmode = ''
+                ftru = self.gettruth()
+                if not ftru:
+                        print "ERR: no truth file found"
+                        return
+                ltru = read_datafile(ftru,depth=0)
                 for i in range(len(lres)): lres[i] = lres[i][0]*self.params.step
-                ltru = read_datafile(self.input.replace('.wav','.txt'),depth=0)
                 if vmode=='verbose':
                         print "Running with mode %s" % self.params.mode, 
@@ -503 +518 @@
                 else:
                         writesize = self.fileo.write(self.readsize,self.myvec)
+
+class taskbeat(taskonset):
+        def __init__(self,input,params=None,output=None):
+                """ open the input file and initialize arguments 
+                parameters should be set *before* calling this method.
+                """
+                taskonset.__init__(self,input,output=None,params=params)
+                self.btwinlen  = 512**2/self.params.hopsize
+                self.btstep    = self.btwinlen/4
+                self.btoutput  = fvec(self.btstep,self.channels)
+                self.dfframe   = fvec(self.btwinlen,self.channels)
+                self.bt        = beattracking(self.btwinlen,self.channels)
+                self.pos2      = 0
+
+        def __call__(self):
+                taskonset.__call__(self)
+                # write to current file
+                if self.pos2 == self.btstep - 1 : 
+                        self.bt.do(self.dfframe,self.btoutput)
+                        for i in range (self.btwinlen - self.btstep):
+                                self.dfframe.set(self.dfframe.get(i+self.btstep,0),i,0) 
+                        for i in range(self.btwinlen - self.btstep, self.btwinlen): 
+                                self.dfframe.set(0,i,0)
+                        self.pos2 = -1;
+                self.pos2 += 1
+                val = self.opick.pp.getval()
+                self.dfframe.set(val,self.btwinlen - self.btstep + self.pos2,0)
+                i=0
+                for i in range(1,int( self.btoutput.get(0,0) ) ):
+                        if self.pos2 == self.btoutput.get(i,0) and \
+                                aubio_silence_detection(self.myvec(),
+                                        self.params.silence)!=1: 
+                                return self.frameread, 0 
+        
+        def eval(self,results):
+                pass