madebyollin
commented
6 years ago It's an out-of-memory error; the code currently tries to process songs all at once (rather than splitting them up and processing segments individually), and that's a problem for long songs!
A quick-and-dirty workaround is just to split up your input file into separate files and run it on each of those separately, then join the outputs. https://unix.stackexchange.com/questions/280767/how-do-i-split-an-audio-file-into-multiple https://superuser.com/questions/571463/how-do-i-append-a-bunch-of-wav-files-while-retaining-not-zero-padded-numeric
The good way is to have the code automatically slice up the input until it can fit a slice in memory, and then run each slice through and reassemble them for you.
Try adding a predict method on acapellabot.py line 88, something like:
def predict(self, spectrogram):
expandedSpectrogram = conversion.expandToGrid(spectrogram, self.peakDownscaleFactor)
sliceSizeTime = 6144
predictedSpectrogramWithBatchAndChannels = None
while sliceSizeTime >= self.peakDownscaleFactor and predictedSpectrogramWithBatchAndChannels is None:
try:
slices = conversion.chop(expandedSpectrogram, sliceSizeTime, expandedSpectrogram.shape[0])
outputSlices = []
for s in slices:
sWithBatchAndChannels = s[np.newaxis, :, :, :]
outputSlices.append(self.model.predict(sWithBatchAndChannels))
predictedSpectrogramWithBatchAndChannels = np.concatenate(outputSlices, axis=2)
except (RuntimeError, MemoryError):
console.info(sliceSizeTime, "is too large; trying", sliceSizeTime // 2)
sliceSizeTime = sliceSizeTime // 2
predictedSpectrogram = predictedSpectrogramWithBatchAndChannels[0, :, :, :]
newSpectrogram = predictedSpectrogram[:spectrogram.shape[0], :spectrogram.shape[1]]
return newSpectrogramand replacing lines 95-103 with:
newSpectrogram = self.predict(spectrogram)
newAudio = conversion.spectrogramToAudioFile(newSpectrogram, fftWindowSize=fftWindowSize, phaseIterations=phaseIterations)(this is copy-pasted from my v2 code, which uses stereo instead of mono, so there might be some issues actually getting it to run–will try to test later...)
wawang250
jabelman
Hi, i tried to running your coding but this error raised. I searched everywhere but cannot find an useful solution. I'm a fish, please help me with it. Thanks a lot. Since it's a memory issue, I am using a VM with 8G memory, deepin system.