I was trying to reproduce the speaker change detection results by following the change detection tutorial.
I am using a no-gpu Windows machine, and I reduced the number of training epochs to 10 just see if the code runs on my machine.
Other than that, I kept the same input parameters as described in the tutorial.
The training phase runs fine, but the following error message was encountered during the validation phase:
Process SpawnPoolWorker-22:
Traceback (most recent call last):
File "C:\Users\xx\AppData\Local\Continuum\anaconda3\envs\proj\lib\multiprocessing\process.py", line 297, in _bootstrap
self.run()
File "C:\Users\xx\AppData\Local\Continuum\anaconda3\envs\proj\lib\multiprocessing\process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\xx\AppData\Local\Continuum\anaconda3\envs\proj\lib\multiprocessing\pool.py", line 110, in worker
task = get()
File "C:\Users\xx\AppData\Local\Continuum\anaconda3\envs\proj\lib\multiprocessing\queues.py", line 354, in get
return _ForkingPickler.loads(res)
File "C:\Users\xx\AppData\Local\Continuum\anaconda3\envs\proj\lib\site-packages\pyannote\audio\applications\changedetection.py", line 163, in
from pyannote.metrics.diarization import DiarizationPurityCoverageFMeasure
File "C:\Users\xx\AppData\Local\Continuum\anaconda3\envs\proj\lib\site-packages\pyannote\metrics__init__.py", line 38, in
manager = Manager()
File "C:\Users\xx\AppData\Local\Continuum\anaconda3\envs\proj\lib\multiprocessing\context.py", line 56, in Manager
m.start()
File "C:\Users\xx\AppData\Local\Continuum\anaconda3\envs\proj\lib\multiprocessing\managers.py", line 543, in start
self._process.start()
File "C:\Users\xx\AppData\Local\Continuum\anaconda3\envs\proj\lib\multiprocessing\process.py", line 110, in start
'daemonic processes are not allowed to have children'
AssertionError: daemonic processes are not allowed to have children
Hello,
I was trying to reproduce the speaker change detection results by following the change detection tutorial.
I am using a no-gpu Windows machine, and I reduced the number of training epochs to 10 just see if the code runs on my machine.
Other than that, I kept the same input parameters as described in the tutorial.
The training phase runs fine, but the following error message was encountered during the validation phase:
Any intuition will be appreciated.
Thank you! Soo.