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This repository has been archived by the owner on May 12, 2020. It is now read-only.
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Releases: neurologists/ionic

Alpha 0.4

19 Oct 00:32
@vondenstein vondenstein
ALPHA-0.4
052de32
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Alpha 0.4 Pre-release
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Changelog

  • Fixed an issue that caused incorrect variable initialization
  • Added crop and stretch augmentations to increase training set by 7x - 28,000 images if no validation split is used
  • IoU calculation now uses metric specified by Kaggle, using tf.metrics functions instead of custom implementation from Kaggle user
  • Loss function now uses tf.keras implementation instead of custom implementation from Kaggle user
  • Groundwork laid for depth integration - requires more testing
  • Learning rate now decays over time as specified in the Tiramisu paper
  • Major file structure changes and code refactoring to prepare for hyperparameter optimizer
  • General bug fixes

Known issues

  • None as of 10/18/2018
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Alpha 0.1

15 Oct 15:38
@vondenstein vondenstein
ALPHA-0.1
06f6df0
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Alpha 0.1 Pre-release
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Comments

Working release with proper loss and IoU functions, data augmentation with flips, input tiling and other functional updates. Last checked with a score of 0.75 IoU.

Known issues

  • Using a validation split of 0.0 causes the accuracy visualization to display 0.0000
Assets 2
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