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Hope you are doing well. I have several general questions, notably about the parameters you used for your pre-trained model.
If I understood well, you used 15k patchs and the number of pixels are : LR : 128x128 ; HR : 512 x 512, and a batch size of 4 ? Is that right ?
Approximately, how many epochs did you use ? (~10, ~50, ~100, ~200, more ?)
What are the weights you used for the VGGnet ? In the literature they often use "imagenet" weights, and I would know if you use this one, or another one.
Thank you 😊
Floriane
The text was updated successfully, but these errors were encountered:
Don't remember the number of epochs, or learning rate. Best is to experiment with your own data. The "good looking" thing is very subjective, so there isn't a universal recipe here :) stop the training when the network doesn't change the results.
Hello Rémi,
Hope you are doing well. I have several general questions, notably about the parameters you used for your pre-trained model.
If I understood well, you used 15k patchs and the number of pixels are : LR : 128x128 ; HR : 512 x 512, and a batch size of 4 ? Is that right ?
Approximately, how many epochs did you use ? (~10, ~50, ~100, ~200, more ?)
What are the weights you used for the VGGnet ? In the literature they often use "imagenet" weights, and I would know if you use this one, or another one.
Thank you 😊
Floriane
The text was updated successfully, but these errors were encountered: