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Improve extreme batch visualization callbacks #1488

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merged 7 commits into from
Oct 3, 2023

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BloodAxe
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  • Allow user to control whether to run on train and/or validation loaders
  • Allow to control maximum number of logged images
  • Store extreme batch on CPU
  • OD visualization of batches changed to render side-by-side (pred-gt) images per image (This is mainly to allow easy understanding in W&B since old implementation was showing whole plot of GT batch first, then you had to scroll down to see Pred batch and go up and down to compare prediction for certain sample => not convinient)

Louis-Dupont
Louis-Dupont previously approved these changes Sep 26, 2023
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@Louis-Dupont Louis-Dupont left a comment

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LGTM, just 1 small doc note. But I think it would be nice having @shaydeci having a look since he wrote the original code he might have deeper insights.

src/super_gradients/training/utils/callbacks/callbacks.py Outdated Show resolved Hide resolved
src/super_gradients/training/utils/callbacks/callbacks.py Outdated Show resolved Hide resolved
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Not quite sure why we moved to channels last...
Did we check everything works well with WandB and default SG Logger and pictures make sense?
Also, would be great if you can add additional tests covering the train loader end cases in our tests.unit_tests.extreme_batch_cb_test.ExtremeBatchSanityTest test

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LGTM

@BloodAxe BloodAxe merged commit f873fcb into master Oct 3, 2023
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@BloodAxe BloodAxe deleted the feature/SG-000-improve-visualization-callback branch October 3, 2023 12:04
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3 participants