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1.0.2

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@ATATC ATATC released this 30 Nov 18:53
· 55 commits to main since this release

What's Changed

  • Make paths() and save_paths() a feature of all path-based datasets by @ATATC in #75
  • Support training on variable-sized medical images with random patch sampling by @ATATC in #76
  • Unused imports in "metrics.py" by @ATATC in #85
  • Add ROI shape validation by @perctrix in #79
  • Add a helper that determines the optimal device by @ATATC in #88
  • Use auto_device() in sanity_check() when device is not specified by @ATATC in #90
  • Add __str__() for Trainer by @ATATC in #92
  • Add SimpleDataset by @ATATC in #94
  • Support extracting filenames in predictors from PathBasedUnsupervisedDataset by @ATATC in #96
  • Inference failed saving prediction by @ATATC in #97
  • Incorrect dimension in statistical_foreground_shape() for 3D data by @ATATC in #101
  • LayerT.update() should return a new instance by @ATATC in #103
  • Expose APIs in Trainer by @ATATC in #100
  • load_inspection_annotations() is completely non-functional by @ATATC in #86
  • Add ComposeDataset that takes multiple datasets and merges them into one by @ATATC in #105
  • DiceBCELossWithLogits is expected to support multiclass by @ATATC in #110

Full Changelog: 1.0.1...1.0.2