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AllenCellModeling / pytorch_fnet

Three dimensional cross-modal image inference
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There are many grids on predict results #179

Open mQvQ opened 3 years ago

mQvQ commented 3 years ago

I run the download_and_train.py to train a model .But when I run predict.py ,I find many girds on my predict results. why is that?

alxndrkalinin commented 3 years ago

Try increasing the number of images (default is 40) and the number of iterations (default is 50000).

mQvQ commented 3 years ago

Try increasing the number of images (default is 40) and the number of iterations (default is 50000).

thanks for your reply ,but when I train 75 images and 80000 iters there are still many grids or even more.

截屏2021-07-13 上午10 25 29
alxndrkalinin commented 3 years ago

You can also try ad_customization branch that added TTA and changed the prediction tile size. Maybe using non-zero overlap between prediction tiles can help. Finally, I recommend checking out Distill article for better understanding of these artifacts.

In my practice, I've seen these artifacts diminish when using more data and longer training.

NikLi66 commented 2 years ago

Hi, I have the same trouble. Have you solved this circumstances? Could it be caused by the salts-and-peppers noises on the background of target images?