| # Changelog |
| All notable changes to MONAI are documented in this file. |
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| The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/) |
| and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html). |
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| ## [Unreleased] |
| ## [0.2.0] - 2020-07-02 |
| ### Added |
| * Overview document for [feature highlights in v0.2.0](https://github.com/Project-MONAI/MONAI/blob/master/docs/source/highlights.md) |
| * Type hints and static type analysis support |
| * `MONAI/research` folder |
| * `monai.engine.workflow` APIs for supervised training |
| * `monai.inferers` APIs for validation and inference |
| * 7 new tutorials and examples |
| * 3 new loss functions |
| * 4 new event handlers |
| * 8 new layers, blocks, and networks |
| * 12 new transforms, including post-processing transforms |
| * `monai.apps.datasets` APIs, including `MedNISTDataset` and `DecathlonDataset` |
| * Persistent caching, `ZipDataset`, and `ArrayDataset` in `monai.data` |
| * Cross-platform CI tests supporting multiple Python versions |
| * Optional import mechanism |
| * Experimental features for third-party transforms integration |
| ### Changed |
| > For more details please visit [the project wiki](https://github.com/Project-MONAI/MONAI/wiki/Notable-changes-between-0.1.0-and-0.2.0) |
| * Core modules now require numpy >= 1.17 |
| * Categorized `monai.transforms` modules into crop and pad, intensity, IO, post-processing, spatial, and utility. |
| * Most transforms are now implemented with PyTorch native APIs |
| * Code style enforcement and automated formatting workflows now use autopep8 and black |
| * Base Docker image upgraded to `nvcr.io/nvidia/pytorch:20.03-py3` from `nvcr.io/nvidia/pytorch:19.10-py3` |
| * Enhanced local testing tools |
| * Documentation website domain changed to https://docs.monai.io |
| ### Removed |
| * Support of Python < 3.6 |
| * Automatic installation of optional dependencies including pytorch-ignite, nibabel, tensorboard, pillow, scipy, scikit-image |
| ### Fixed |
| * Various issues in type and argument names consistency |
| * Various issues in docstring and documentation site |
| * Various issues in unit and integration tests |
| * Various issues in examples and notebooks |
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| ## [0.1.0] - 2020-04-17 |
| ### Added |
| * Public alpha source code release under the Apache 2.0 license ([highlights](https://github.com/Project-MONAI/MONAI/blob/0.1.0/docs/source/highlights.md)) |
| * Various tutorials and examples |
| - Medical image classification and segmentation workflows |
| - Spacing/orientation-aware preprocessing with CPU/GPU and caching |
| - Flexible workflows with PyTorch Ignite and Lightning |
| * Various GitHub Actions |
| - CI/CD pipelines via self-hosted runners |
| - Documentation publishing via readthedocs.org |
| - PyPI package publishing |
| * Contributing guidelines |
| * A project logo and badges |
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| [highlights]: https://github.com/Project-MONAI/MONAI/blob/master/docs/source/highlights.md |
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| [Unreleased]: https://github.com/Project-MONAI/MONAI/compare/0.2.0...HEAD |
| [0.2.0]: https://github.com/Project-MONAI/MONAI/compare/0.1.0...0.2.0 |
| [0.1.0]: https://github.com/Project-MONAI/MONAI/commits/0.1.0 |
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