What's Changed
- Make
paths()andsave_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()insanity_check()when device is not specified by @ATATC in #90 - Add
__str__()forTrainerby @ATATC in #92 - Add
SimpleDatasetby @ATATC in #94 - Support extracting filenames in predictors from
PathBasedUnsupervisedDatasetby @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
Trainerby @ATATC in #100 load_inspection_annotations()is completely non-functional by @ATATC in #86- Add
ComposeDatasetthat takes multiple datasets and merges them into one by @ATATC in #105 DiceBCELossWithLogitsis expected to support multiclass by @ATATC in #110
Full Changelog: 1.0.1...1.0.2