Comments (8)
jwyang
commented on July 17, 2024
1
hi, @VeLKerr ,
you can use any architecture that could take 32x32 images as input. if you want, you can use the architecture for FRGC dataset.
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jwyang
commented on July 17, 2024
Hi, thanks,
I think that is because you did not change the network architecture, which still take 32x32 images as inputs. You need to define your own network architecture to train the model on images with size 64x64.
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r05922121
commented on July 17, 2024
Hi, thanks for reply!
Therefore, I should change it in models_def, right?
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jwyang
commented on July 17, 2024
yes, exactly.
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r05922121
commented on July 17, 2024
OK, I will close it, thanks!
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VeLKerr
commented on July 17, 2024
Hi, @jwyang ,
Could you please advice the architecture for clustering CIFAR-10?
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VeLKerr
commented on July 17, 2024
Thank you for quick reply!
I've changed nInputPlanes from 3 to 4 (because having RGBA images) and training started.
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jwyang
commented on July 17, 2024
great!
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