jakeret
question
jDear Doctor Akeret, I found on github your interesting u-net python tool. I'm trying to use it in a project. I can train the network on my data but I have two questions:
- If i try to increase the number of layers I get an error;
- Why the origninal image is cropped? Is it possible to train on the whole immage?
- On the contrary, is it possible to train considering patches of the original image?
Thanks in advance
If i try to increase the number of layers I get an error;
Without description we can't help you
Why the origninal image is cropped? Is it possible to train on the whole immage?
This is due to the network architecture using "valid" padding in the convolutional layers - you can read more on this in the original Ronneberger et al. paper
On the contrary, is it possible to train considering patches of the original image?
Yes, but you have to implement this yourself
Thank for your reply.. i fixed the number of layers issue. For the implementation of the whole image training can you tell me which part of the code I have to modify? I guess in the store_prediction function but i can not figure out perfectly...
Il giorno lun 18 mar 2019 alle ore 15:00 Joel Akeret < [email protected]> ha scritto:
If i try to increase the number of layers I get an error;
Without description we can't help you
Why the origninal image is cropped? Is it possible to train on the whole immage?
This is due to the network architecture using "valid" padding in the convolutional layers - you can read more on this in the original Ronneberger et al. paper
On the contrary, is it possible to train considering patches of the original image?
Yes, but you have to implement this yourself
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Ing. Pierpaolo Croce, PhD. Institute for Advanced Biomedical Technologies - ITAB and Department of Neuroscience and Imaging University of Chieti "G. D'Annunzio" Via dei Vestini, 33 66013 Chieti, Italy
@pierpy split the images to your needs before placing them into the training folder
