1 | from aubio.aubioclass import * |
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2 | from onset import taskonset |
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3 | |
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4 | class taskbeat(taskonset): |
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5 | def __init__(self,input,params=None,output=None): |
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6 | """ open the input file and initialize arguments |
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7 | parameters should be set *before* calling this method. |
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8 | """ |
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9 | taskonset.__init__(self,input,output=None,params=params) |
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10 | self.btwinlen = 512**2/self.params.hopsize |
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11 | self.btstep = self.btwinlen/4 |
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12 | self.btoutput = fvec(self.btstep,self.channels) |
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13 | self.dfframe = fvec(self.btwinlen,self.channels) |
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14 | self.bt = beattracking(self.btwinlen,self.channels) |
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15 | self.pos2 = 0 |
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16 | |
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17 | def __call__(self): |
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18 | taskonset.__call__(self) |
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19 | # write to current file |
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20 | if self.pos2 == self.btstep - 1 : |
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21 | self.bt.do(self.dfframe,self.btoutput) |
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22 | for i in range (self.btwinlen - self.btstep): |
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23 | self.dfframe.set(self.dfframe.get(i+self.btstep,0),i,0) |
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24 | for i in range(self.btwinlen - self.btstep, self.btwinlen): |
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25 | self.dfframe.set(0,i,0) |
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26 | self.pos2 = -1; |
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27 | self.pos2 += 1 |
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28 | val = self.opick.pp.getval() |
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29 | self.dfframe.set(val,self.btwinlen - self.btstep + self.pos2,0) |
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30 | i=0 |
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31 | for i in range(1,int( self.btoutput.get(0,0) ) ): |
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32 | if self.pos2 == self.btoutput.get(i,0) and \ |
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33 | aubio_silence_detection(self.myvec(), |
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34 | self.params.silence)!=1: |
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35 | return self.frameread, 0 |
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36 | |
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37 | def eval(self,results): |
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38 | pass |
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39 | |
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