real-time gcc-nmf error?
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I am trying to make the real-time gcc-nmf work, I have the correct data paths, etc, the script created the pretrained files. The following error appears after starting the script after:
C:\gccNMF>python demo5.py
INFO:root:GCCNMFConfig: loading configuration params...
INFO:root:TDOA
INFO:root: targetTDOAEpsilon: 5.0
INFO:root: targetTDOANoiseFloor: 0.0
INFO:root: numSpectrogramHistory: 128
INFO:root: microphoneSeparationInMetres: 0.1
INFO:root: numTDOAs: 64
INFO:root: numTDOAHistory: 128
INFO:root: targetTDOABeta: 2.0
INFO:root: gccPHATNLAlpha: 2.0
INFO:root: gccPHATNLEnabled: False
INFO:root:NMF
INFO:root: dictionarySize: 64
INFO:root: dictionaryType: Pretrained
INFO:root: numHUpdates: 0
INFO:root: dictionarySizes: [64, 128, 256, 512, 1024]
INFO:root:Audio
INFO:root: deviceIndex: None
INFO:root: sampleRate: 44100
INFO:root: numChannels: 2
INFO:root:STFT
INFO:root: blockSize: 512
INFO:root: windowSize: 1024
INFO:root: hopSize: 512
INFO:root:GCCNMFPretraining: Loading pretrained W (size 64): ./pretrainedW\W_64.
npy
INFO:root:GCCNMFPretraining: Loading pretrained W (size 128): ./pretrainedW\W_12
8.npy
INFO:root:GCCNMFPretraining: Loading pretrained W (size 256): ./pretrainedW\W_25
6.npy
INFO:root:GCCNMFPretraining: Loading pretrained W (size 512): ./pretrainedW\W_51
2.npy
INFO:root:GCCNMFPretraining: Loading pretrained W (size 1024): ./pretrainedW\W_1
024.npy
INFO:root:RealtimeGCCNMF: Starting with audio path: ./test.wav
WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will be remove
d in the next release (v0.10). Please switch to the gpuarray backend. You can g
et more information about how to switch at this URL:
https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpua
rray%29
WARNING:theano.sandbox.cuda:The cuda backend is deprecated and will be removed i
n the next release (v0.10). Please switch to the gpuarray backend. You can get
more information about how to switch at this URL:
https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpua
rray%29
Using gpu device 0: GeForce GTX 860M (CNMeM is enabled with initial size: 70.0%
of memory, cuDNN 5005)
INFO:root:GCCNMFConfig: loading configuration params...
INFO:root:TDOA
INFO:root: targetTDOAEpsilon: 5.0
INFO:root: targetTDOANoiseFloor: 0.0
INFO:root: numSpectrogramHistory: 128
INFO:root: microphoneSeparationInMetres: 0.1
INFO:root: numTDOAs: 64
INFO:root: numTDOAHistory: 128
INFO:root: targetTDOABeta: 2.0
INFO:root: gccPHATNLAlpha: 2.0
INFO:root: gccPHATNLEnabled: False
INFO:root:NMF
INFO:root: dictionarySize: 64
INFO:root: dictionaryType: Pretrained
INFO:root: numHUpdates: 0
INFO:root: dictionarySizes: [64, 128, 256, 512, 1024]
INFO:root:Audio
INFO:root: deviceIndex: None
INFO:root: sampleRate: 44100
INFO:root: numChannels: 2
INFO:root:STFT
INFO:root: blockSize: 512
INFO:root: windowSize: 1024
INFO:root: hopSize: 512
INFO:root:GCCNMFPretraining: Loading pretrained W (size 64): ./pretrainedW\W_64.
npy
INFO:root:GCCNMFPretraining: Loading pretrained W (size 128): ./pretrainedW\W_12
8.npy
INFO:root:GCCNMFPretraining: Loading pretrained W (size 256): ./pretrainedW\W_25
6.npy
INFO:root:GCCNMFPretraining: Loading pretrained W (size 512): ./pretrainedW\W_51
2.npy
INFO:root:GCCNMFPretraining: Loading pretrained W (size 1024): ./pretrainedW\W_1
024.npy
INFO:root:RealtimeGCCNMF: Starting with audio path: ./test.wav
WARNING (theano.sandbox.cuda): The cuda backend is deprecated and will be remove
d in the next release (v0.10). Please switch to the gpuarray backend. You can g
et more information about how to switch at this URL:
https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpua
rray%29
WARNING:theano.sandbox.cuda:The cuda backend is deprecated and will be removed i
n the next release (v0.10). Please switch to the gpuarray backend. You can get
more information about how to switch at this URL:
https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end%28gpua
rray%29
Using gpu device 0: GeForce GTX 860M (CNMeM is enabled with initial size: 70.0%
of memory, cuDNN 5005)
Traceback (most recent call last):
File "", line 1, in
File "C:\Python27\lib\multiprocessing\forking.py", line 380, in main
prepare(preparation_data)
File "C:\Python27\lib\multiprocessing\forking.py", line 509, in prepare
'parents_main', file, path_name, etc
File "C:\gccNMF\demo5.py", line 5, in
RealtimeGCCNMF()
File "C:\gccNMF\runRealtimeGCCNMF.py", line 50, in init
self.initProcesses(params)
File "C:\gccNMF\runRealtimeGCCNMF.py", line 91, in initProcesses
self.audioProcess.start()
File "C:\Python27\lib\multiprocessing\process.py", line 130, in start
self._popen = Popen(self)
File "C:\Python27\lib\multiprocessing\forking.py", line 258, in init
cmd = get_command_line() + [rhandle]
File "C:\Python27\lib\multiprocessing\forking.py", line 358, in get_command_li
ne
is not going to be frozen to produce a Windows executable.''')
RuntimeError:
Attempt to start a new process before the current process
has finished its bootstrapping phase.
This probably means that you are on Windows and you have
forgotten to use the proper idiom in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce a Windows executable.
Traceback (most recent call last):
File "demo5.py", line 5, in
RealtimeGCCNMF()
File "C:\gccNMF\runRealtimeGCCNMF.py", line 50, in init
self.initProcesses(params)
File "C:\gccNMF\runRealtimeGCCNMF.py", line 91, in initProcesses
self.audioProcess.start()
File "C:\Python27\lib\multiprocessing\process.py", line 130, in start
self._popen = Popen(self)
File "C:\Python27\lib\multiprocessing\forking.py", line 277, in init
dump(process_obj, to_child, HIGHEST_PROTOCOL)
File "C:\Python27\lib\multiprocessing\forking.py", line 199, in dump
ForkingPickler(file, protocol).dump(obj)
File "C:\Python27\lib\pickle.py", line 224, in dump
self.save(obj)
File "C:\Python27\lib\pickle.py", line 331, in save
self.save_reduce(obj=obj, *rv)
File "C:\Python27\lib\pickle.py", line 425, in save_reduce
save(state)
File "C:\Python27\lib\pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python27\lib\pickle.py", line 655, in save_dict
self._batch_setitems(obj.iteritems())
File "C:\Python27\lib\pickle.py", line 687, in _batch_setitems
save(v)
File "C:\Python27\lib\pickle.py", line 331, in save
self.save_reduce(obj=obj, *rv)
File "C:\Python27\lib\pickle.py", line 425, in save_reduce
save(state)
File "C:\Python27\lib\pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python27\lib\pickle.py", line 568, in save_tuple
save(element)
File "C:\Python27\lib\pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python27\lib\pickle.py", line 492, in save_string
self.write(BINSTRING + pack("<i", n) + obj)
IOError: [Errno 22] Invalid argument
what is wrong? thanks!
Thanks again for your help! Looks like the problem stems from multiprocessing with Python on Windows. Unfortunately, I am only able to test on Mac and Linux at the moment.
We should first try the suggestion that appears near the end of the error messages, i.e. wrapping the script in if __name__ == '__main__', and calling freeze_support. Something like:
from multiprocessing import freeze_support
from gccNMF.realtime.runRealtimeGCCNMF import RealtimeGCCNMF
if __name__ == '__main__':
freeze_support()
RealtimeGCCNMF()
Thank you, that actually worked. So one last question, is this mainly just for demonstration purposes as a real-time app or is there a way, after setting the correct real-time parameters, to actually click a button for example called process, and it will save the enhanced wav file on disk? Thanks!