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Merged
wyli merged 3 commits into from
Oct 21, 2022
Merged

5284 adds a changelog v1.0.1 #5319

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416d76f
adds a changelog
wyli Oct 12, 2022
9eb4e4a
[skip ci] update changelog
wyli Oct 15, 2022
1a5243d
update
wyli Oct 20, 2022
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37 changes: 35 additions & 2 deletions CHANGELOG.md
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Expand Up @@ -5,6 +5,38 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).

## [Unreleased]

## [1.0.1] - 2022-10-24
### Fixes
* DiceCELoss for multichannel targets
* Auto3DSeg DataAnalyzer out-of-memory error and other minor issues
* An optional flag issue in the RetinaNet detector
* An issue with output offset for Spacing
* A `LoadImage` issue when `track_meta` is `False`
* 1D data output error in `VarAutoEncoder`
* An issue with resolution computing in `ImageStats`
### Added
* Flexible min/max pixdim options for Spacing
* Upsample mode `deconvgroup` and optional kernel sizes
* Docstrings for gradient-based saliency maps
* Occlusion sensitivity to use sliding window inference
* Enhanced Gaussian window and device assignments for sliding window inference
* Multi-GPU support for MonaiAlgo
* `ClientAlgoStats` and `MonaiAlgoStats` for federated summary statistics
* MetaTensor support for `OneOf`
* Add a file check for bundle logging config
* Additional content and an authentication token option for bundle info API
* An anti-aliasing option for `Resized`
* `SlidingWindowInferer` adaptive device based on `cpu_thresh`
* `SegResNetDS` with deep supervision and non-isotropic kernel support
* Premerge tests for Python 3.10
### Changed
* Base Docker image upgraded to `nvcr.io/nvidia/pytorch:22.09-py3` from `nvcr.io/nvidia/pytorch:22.08-py3`
* Replace `None` type metadata content with `"none"` for `collate_fn` compatibility
* HoVerNet Mode and Branch to independent StrEnum
* Automatically infer device from the first item in random elastic deformation dict
* Add channel dim in `ComputeHoVerMaps` and `ComputeHoVerMapsd`
* Remove batch dim in `SobelGradients` and `SobelGradientsd`

## [1.0.0] - 2022-09-16
### Added
* `monai.auto3dseg` base APIs and `monai.apps.auto3dseg` components for automated machine learning (AutoML) workflow
Expand Down Expand Up @@ -608,8 +640,9 @@ the postprocessing steps should be used before calling the metrics methods

[highlights]: https://github.com/Project-MONAI/MONAI/blob/master/docs/source/highlights.md

[Unreleased]: https://github.com/Project-MONAI/MONAI/compare/1.0.0...HEAD
[1.0.0]: https://github.com/Project-MONAI/MONAI/compare/1.0.0...HEAD
[Unreleased]: https://github.com/Project-MONAI/MONAI/compare/1.0.1...HEAD
[1.0.1]: https://github.com/Project-MONAI/MONAI/compare/1.0.0...1.0.1
[1.0.0]: https://github.com/Project-MONAI/MONAI/compare/0.9.1...1.0.0
[0.9.1]: https://github.com/Project-MONAI/MONAI/compare/0.9.0...0.9.1
[0.9.0]: https://github.com/Project-MONAI/MONAI/compare/0.8.1...0.9.0
[0.8.1]: https://github.com/Project-MONAI/MONAI/compare/0.8.0...0.8.1
Expand Down