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@limorhe limorhe commented Jul 26, 2018

//cc @svensht2
this PR is build on top of #1
it still breaks on the first training step for out of memory on my machine

svensht2 and others added 6 commits July 19, 2018 17:00
set sample output for visualization
run validation on the same input as last training- give different results
more flexible configuration options
make batch normalization depend on batch size
change summary images
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limorhe commented Oct 17, 2018

to train on simple PC small images use unet_depthnet_train_small.yaml
to train on a heavy machine use unet_depthnet_train.yaml (not tested)

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3 participants