Input size

[fdbtrs]

Hi
Is it possible to train the network with original VGG input size 224*224
Thanks

[roimehrez]

The CRN architecture works well for power of 2 since the layers size are 4--8--16--32--64--128--256
You can change the network to a different one and feed any size you wish. You can use 256 over none for the CRN

Why do you need 224*224?

[fdbtrs]

Hi
Thanks for reply.
I need to validate the result against another vgg model without resizing the generated message.
Mainly to check whether the model has preserved the identity or not.