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@wyli wyli released this 25 Nov 21:19
· 1599 commits to dev since this release
0.8.0
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Learn about vigilant mode.

Added

  • Overview of new features in v0.8
  • Network modules for differentiable neural network topology search (DiNTS)
  • Multiple Instance Learning transforms and models for digital pathology WSI analysis
  • Vision transformers for self-supervised representation learning
  • Contrastive loss for self-supervised learning
  • Finalized major improvements of 200+ components in monai.transforms to support input and backend in PyTorch and NumPy
  • Initial registration module benchmarking with GlobalMutualInformationLoss as an example
  • monai.transforms documentation with visual examples and the utility functions
  • Event handler for MLfLow integration
  • Enhanced data visualization functions including blend_images and matshow3d
  • RandGridDistortion and SmoothField in monai.transforms
  • Support of randomized shuffle buffer in iterable datasets
  • Performance review and enhancements for data type casting
  • Cumulative averaging API with distributed environment support
  • Module utility functions including require_pkg and pytorch_after
  • Various usability enhancements such as allow_smaller when sampling ROI and wrap_sequence when casting object types
  • tifffile support in WSIReader
  • Regression tests for the fast training workflows
  • Various tutorials and demos including educational contents at MONAI Bootcamp 2021

Changed

  • Base Docker image upgraded to nvcr.io/nvidia/pytorch:21.10-py3 from nvcr.io/nvidia/pytorch:21.08-py3
  • Decoupled TraceKeys and TraceableTransform APIs from InvertibleTransform
  • Skipping affine-based resampling when resample=False in NiftiSaver
  • Deprecated threshold_values: bool and num_classes: int in AsDiscrete
  • Enhanced apply_filter for spatially 1D, 2D and 3D inputs with non-separable kernels
  • Logging with logging in downloading and model archives in monai.apps
  • API documentation site now defaults to stable instead of latest
  • skip-magic-trailing-comma in coding style enforcements
  • Pre-merge CI pipelines now include unit tests with Nvidia Ampere architecture

Removed

  • Support for PyTorch 1.5
  • The deprecated DynUnetV1 and the related network blocks
  • GitHub self-hosted CI/CD pipelines for package releases

Fixed

  • Support of path-like objects as file path inputs in most modules
  • Issue of decollate_batch for dictionary of empty lists
  • Typos in documentation and code examples in various modules
  • Issue of no available keys when allow_missing_keys=True for the MapTransform
  • Issue of redundant computation when normalization factors are 0.0 and 1.0 in ScaleIntensity
  • Incorrect reports of registered readers in ImageReader
  • Wrong numbering of iterations in StatsHandler
  • Naming conflicts in network modules and aliases
  • Incorrect output shape when reduction="none" in FocalLoss
  • Various usability issues reported by users
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