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@wyli wyli released this 16 Sep 14:56
· 981 commits to dev since this release
1.0.0
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wyli Wenqi Li
GPG key ID: 32388F7CC38F7C24
Learn about vigilant mode.

Added

  • monai.auto3dseg base APIs and monai.apps.auto3dseg components for automated machine learning (AutoML) workflow
  • monai.fl module with base APIs and MonaiAlgo for federated learning client workflow
  • An initial backwards compatibility guide
  • Initial release of accelerated MRI reconstruction components, including CoilSensitivityModel
  • Support of MetaTensor and new metadata attributes for various digital pathology components
  • Various monai.bundle enhancements for MONAI model-zoo usability, including config debug mode and get_all_bundles_list
  • new monai.transforms components including SignalContinuousWavelet for 1D signal, ComputeHoVerMaps for digital pathology, and SobelGradients for spatial gradients
  • VarianceMetric and LabelQualityScore metrics for active learning
  • Dataset API for real-time stream and videos
  • Several networks and building blocks including FlexibleUNet and HoVerNet
  • MeanIoUHandler and LogfileHandler workflow event handlers
  • WSIReader with the TiffFile backend
  • Multi-threading in WSIReader with cuCIM backend
  • get_stats API in monai.engines.Workflow
  • prune_meta_pattern in monai.transforms.LoadImage
  • max_interactions for deepedit interaction workflow
  • Various profiling utilities in monai.utils.profiling

Changed

  • Base Docker image upgraded to nvcr.io/nvidia/pytorch:22.08-py3 from nvcr.io/nvidia/pytorch:22.06-py3
  • Optionally depend on PyTorch-Ignite v0.4.10 instead of v0.4.9
  • The cache-based dataset now matches the transform information when read/write the cache
  • monai.losses.ContrastiveLoss now infers batch_size during forward()
  • Rearrange the spatial axes in RandSmoothDeform transforms following PyTorch's convention
  • Unified several environment flags into monai.utils.misc.MONAIEnvVars
  • Simplified __str__ implementation of MetaTensor instead of relying on the __repr__ implementation

Fixed

  • Improved error messages when both monai and monai-weekly are pip-installed
  • Inconsistent pseudo number sequences for different num_workers in DataLoader
  • Issue of repeated sequences for monai.data.ShuffleBuffer
  • Issue of not preserving the physical extent in monai.transforms.Spacing
  • Issue of using inception_v3 as the backbone of monai.networks.nets.TorchVisionFCModel
  • Index device issue for monai.transforms.Crop
  • Efficiency issue when converting the array dtype and contiguous memory

Deprecated

  • Addchannel and AsChannelFirst transforms in favor of EnsureChannelFirst
  • monai.apps.pathology.data components in favor of the corresponding components from monai.data
  • monai.apps.pathology.handlers in favor of the corresponding components from monai.handlers

Removed

  • Status section in the pull request template in favor of the pull request draft mode
  • monai.engines.BaseWorkflow
  • ndim and dimensions arguments in favor of spatial_dims
  • n_classes, num_classes arguments in AsDiscrete in favor of to_onehot
  • logit_thresh, threshold_values arguments in AsDiscrete in favor of threshold
  • torch.testing.assert_allclose in favor of tests.utils.assert_allclose
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