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Reproducing demo models #21
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Hi @yosh7 , were you able to re-produce the pre-trained models? |
Yep. I installed everything from scratch, Linux, cuda, cudnn (this one's important!) using latest packages for everything and got good results. I assume there was a package compatibility issue before, which is strange as the project ran with no errors, just produced bad results. |
Can you tell the version of tensorflow you used?
…On Mon, Jul 6, 2020, 13:49 yosh7 ***@***.***> wrote:
Yep. I installed everything from scratch, Linux, cuda, cudnn (this one's
important!) using latest packages for everything and got good results. I
assume there was a package compatibility issue before, which is strange as
the project ran with no errors, just produced bad results.
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TF2. And now that I'm thinking of it you may also need to fix the code imports. Use: |
@yosh7 I think just the import won't be enough as I am running into some other errors as well when I upgrade to TF 2.2 .Would you be able to share your updated TF2 code? |
Yes. The problem was with drivers and Cuda installations + tfgpu package I
used. I tried over and over several combinations until it finally worked
…On Mon, Aug 2, 2021, 4:13 PM guyash ***@***.***> wrote:
@yosh7 <https://github.com/yosh7>
did you manage to re-produce the pre-trained models?
I train the model on the given style images and get poor results also.
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@yosh7 Thank you so much! |
Hi, kudos for an awesome project !
I managed to run this using tf 1.13.1 and works perfectly.
However, when trying to train I get poor results , no where near the pre-trained models.
After trying with the defaults , I also tried changing some of the hyperparameters, eg. content/tv/style weights , learning rate, batch sizes.
I see that learn rate and batch sizes have significant effect on end results ,but can't reproduce your models.
Can you please publish the parameters used for training ? style image sizes ? any other modifications to the code that can help improve results ?
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