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Thanks for the good work done.
I tried to repeat your results. As it is written in your wonderful article, I trained at a size of 384x384. My trained model works at 384x384 input size.
But when I try to input the full size from the Davis dataset (as you have in the demo script), I get trash drawn. Have you encountered such a problem and how did you solve it?
Waiting for your reply!
The text was updated successfully, but these errors were encountered:
@moonlight99 Did you make any changes in model.py? It happens when the model is not fully convolutional. The provided weights is also trained only with 384x384 patches but there was no problem with testing on other resolutions.
Thanks for the good work done.
I tried to repeat your results. As it is written in your wonderful article, I trained at a size of 384x384. My trained model works at 384x384 input size.
But when I try to input the full size from the Davis dataset (as you have in the demo script), I get trash drawn. Have you encountered such a problem and how did you solve it?
Waiting for your reply!
The text was updated successfully, but these errors were encountered: