diff --git a/CHANGELOG.md b/CHANGELOG.md index 61be8f07c1..38336505ed 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,98 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/). ## [Unreleased] +## [1.3.1] - 2024-05-17 +### Added +* Support for `by_measure` argument in `RemoveSmallObjects` (#7137) +* Support for `pretrained` flag in `ResNet` (#7095) +* Support for uploading and downloading bundles to and from the Hugging Face Hub (#6454) +* Added weight parameter in DiceLoss to apply weight to voxels of each class (#7158) +* Support for returning dice for each class in `DiceMetric` (#7163) +* Introduced `ComponentStore` for storage purposes (#7159) +* Added utilities used in MONAI Generative (#7134) +* Enabled Python 3.11 support for `convert_to_torchscript` and `convert_to_onnx` (#7182) +* Support for MLflow in `AutoRunner` (#7176) +* `fname_regex` option in PydicomReader (#7181) +* Allowed setting AutoRunner parameters from config (#7175) +* `VoxelMorphUNet` and `VoxelMorph` (#7178) +* Enabled `cache` option in `GridPatchDataset` (#7180) +* Introduced `class_labels` option in `write_metrics_reports` for improved readability (#7249) +* `DiffusionLoss` for image registration task (#7272) +* Supported specifying `filename` in `Saveimage` (#7318) +* Compile support in `SupervisedTrainer` and `SupervisedEvaluator` (#7375) +* `mlflow_experiment_name` support in `Auto3DSeg` (#7442) +* Arm support (#7500) +* `BarlowTwinsLoss` for representation learning (#7530) +* `SURELoss` and `ConjugateGradient` for diffusion models (#7308) +* Support for `CutMix`, `CutOut`, and `MixUp` augmentation techniques (#7198) +* `meta_file` and `logging_file` options to `BundleWorkflow` (#7549) +* `properties_path` option to `BundleWorkflow` for customized properties (#7542) +* Support for both soft and hard clipping in `ClipIntensityPercentiles` (#7535) +* Support for not saving artifacts in `MLFlowHandler` (#7604) +* Support for multi-channel images in `PerceptualLoss` (#7568) +* Added ResNet backbone for `FlexibleUNet` (#7571) +* Introduced `dim_head` option in `SABlock` to set dimensions for each head (#7664) +* Direct links to github source code to docs (#7738, #7779) +#### misc. +* Refactored `list_data_collate` and `collate_meta_tensor` to utilize the latest PyTorch API (#7165) +* Added __str__ method in `Metric` base class (#7487) +* Made enhancements for testing files (#7662, #7670, #7663, #7671, #7672) +* Improved documentation for bundles (#7116) +### Fixed +#### transforms +* Addressed issue where lazy mode was ignored in `SpatialPadd` (#7316) +* Tracked applied operations in `ImageFilter` (#7395) +* Warnings are now given only if missing class is not set to 0 in `generate_label_classes_crop_centers` (#7602) +* Input is now always converted to C-order in `distance_transform_edt` to ensure consistent behavior (#7675) +#### data +* Modified .npz file behavior to use keys in `NumpyReader` (#7148) +* Handled corrupted cached files in `PersistentDataset` (#7244) +* Corrected affine update in `NrrdReader` (#7415) +#### metrics and losses +* Addressed precision issue in `get_confusion_matrix` (#7187) +* Harmonized and clarified documentation and tests for dice losses variants (#7587) +#### networks +* Removed hard-coded `spatial_dims` in `SwinTransformer` (#7302) +* Fixed learnable `position_embeddings` in `PatchEmbeddingBlock` (#7564, #7605) +* Removed `memory_pool_limit` in TRT config (#7647) +* Propagated `kernel_size` to `ConvBlocks` within `AttentionUnet` (#7734) +* Addressed hard-coded activation layer in `ResNet` (#7749) +#### bundle +* Resolved bundle download issue (#7280) +* Updated `bundle_root` directory for `NNIGen` (#7586) +* Checked for `num_fold` and failed early if incorrect (#7634) +* Enhanced logging logic in `ConfigWorkflow` (#7745) +#### misc. +* Enabled chaining in `Auto3DSeg` CLI (#7168) +* Addressed useless error message in `nnUNetV2Runner` (#7217) +* Resolved typing and deprecation issues in Mypy (#7231) +* Quoted `$PY_EXE` variable to handle Python path that contains spaces in Bash (#7268) +* Improved documentation, code examples, and warning messages in various modules (#7234, #7213, #7271, #7326, #7569, #7584) +* Fixed typos in various modules (#7321, #7322, #7458, #7595, #7612) +* Enhanced docstrings in various modules (#7245, #7381, #7746) +* Handled error when data is on CPU in `DataAnalyzer` (#7310) +* Updated version requirements for third-party packages (#7343, #7344, #7384, #7448, #7659, #7704, #7744, #7742, #7780) +* Addressed incorrect slice compute in `ImageStats` (#7374) +* Avoided editing a loop's mutable iterable to address B308 (#7397) +* Fixed issue with `CUDA_VISIBLE_DEVICES` setting being ignored (#7408, #7581) +* Avoided changing Python version in CICD (#7424) +* Renamed partial to callable in instantiate mode (#7413) +* Imported AttributeError for Python 3.12 compatibility (#7482) +* Updated `nnUNetV2Runner` to support nnunetv2 2.2 (#7483) +* Used uint8 instead of int8 in `LabelStats` (#7489) +* Utilized subprocess for nnUNet training (#7576) +* Addressed deprecated warning in ruff (#7625) +* Fixed downloading failure on FIPS machine (#7698) +* Updated `torch_tensorrt` compile parameters to avoid warning (#7714) +* Restrict `Auto3DSeg` fold input based on datalist (#7778) +### Changed +* Base Docker image upgraded to `nvcr.io/nvidia/pytorch:24.03-py3` from `nvcr.io/nvidia/pytorch:23.08-py3` +### Removed +* Removed unrecommended star-arg unpacking after a keyword argument, addressed B026 (#7262) +* Skipped old PyTorch version test for `SwinUNETR` (#7266) +* Dropped docker build workflow and migrated to Nvidia Blossom system (#7450) +* Dropped Python 3.8 test on quick-py3 workflow (#7719) + ## [1.3.0] - 2023-10-12 ### Added * Intensity transforms `ScaleIntensityFixedMean` and `RandScaleIntensityFixedMean` (#6542) @@ -943,7 +1035,8 @@ 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/1.3.0...HEAD +[Unreleased]: https://github.com/Project-MONAI/MONAI/compare/1.3.1...HEAD +[1.3.1]: https://github.com/Project-MONAI/MONAI/compare/1.3.0...1.3.1 [1.3.0]: https://github.com/Project-MONAI/MONAI/compare/1.2.0...1.3.0 [1.2.0]: https://github.com/Project-MONAI/MONAI/compare/1.1.0...1.2.0 [1.1.0]: https://github.com/Project-MONAI/MONAI/compare/1.0.1...1.1.0