| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| 0.4.0.tar.gz | 2018-09-13 | 2.7 MB | |
| 0.4.0.zip | 2018-09-13 | 2.9 MB | |
| README.md | 2018-09-13 | 1.2 kB | |
| Totals: 3 Items | 5.5 MB | 0 | |
Added
niftynet.layer: new layers- Tversky loss function for image segmentation
- Random affine augmentation layer
- Random bias field augmentation layer
- Group normalisation layer
- Squeeze and excitation blocks
- Documentation
- Misc.
- Subject id from filename with regular expression
- Versioning with python-versioneer
- Tested with TensorFlow 1.10
Changed
niftynet.engine: improved core functions- IO modules based on
tf.data.Dataset(breaking changes) - Decoupled the engine and event handlers
- IO modules based on
- Migrated the code repository, model zoo, and niftynet.io source code to github.com/niftk.