Isonet stops after a few iterations at time for refinement

[jake4844]

Hi,

I have been having recent issues with isonet where it will run fine for a few iterations during refinement and at some during Noise level estimation it will just stop and quit with no errors. Is there something causing this to happen? Thanks!

[procyontao]

Could you tell whether it stopped only at 10 iter when noise volume are generated, or this could happen at any iteration. Could you share your log file?

[jake4844]

log.txt Here is the log file! Let me know what you find out:)

[XiaJia98]

Could you tell whether it stopped only at 10 iter when noise volume are generated, or this could happen at any iteration. Could you share your log file?

hi, I have run in this problem, the refine step stopped only at 10 itr when noise volume are generated and reported error "TypeError: iradon() got an unexpected keyword argument 'filter_name'". Is there any solution? Thanks so many!

[procyontao]

Hi,

Sorry for late reply. I think you are using a old version of scikit-image package. "filter_name" parameter was introduced after skimage 0.17.x

[XiaJia98]

Hi,

Sorry for late reply. I think you are using a old version of scikit-image package. "filter_name" parameter was introduced after skimage 0.17.x

thanks，it has worked well now!

[KASochacki]

Hi, I believe I am having a similar problem where the refine step stops after iteration 10. The difference is that my error is local variable 'num_noise_volume' referenced before assignment.

skimage.version '0.17.2' numpy.version '1.19.5' Is there any chance you are familiar with this problem? Thank you!

[KASochacki]

This ended up just being that an initial memory problem resulted in an empty training_noise directory. Further attempts to run the refinement ended with the num_noise_volume error. When the training_noise directory was removed, the error went away and the insufficient memory problem became more clear.

[richyjunior]

This ended up just being that an initial memory problem resulted in an empty training_noise directory. Further attempts to run the refinement ended with the num_noise_volume error. When the training_noise directory was removed, the error went away and the insufficient memory problem became more clear.

Hi, Do yo solve this problem? I’m facing a similar issue when running my code. The program stops with a num_noise_volume error when I try to run it using the continue_from command."