Releases
0.7.0
wyli
released this
24 Sep 01:21
Added
Overview of new features in v0.7
Initial phase of major usability improvements in monai.transforms
to support input and backend in PyTorch and NumPy
Performance enhancements, with profiling and tuning guides for typical use cases
Reproducing training modules and workflows of state-of-the-art Kaggle competition solutions
24 new transforms, including
OneOf
meta transform
DeepEdit guidance signal transforms for interactive segmentation
Transforms for self-supervised pre-training
Integration of NVIDIA Tools Extension (NVTX)
Integration of cuCIM
Stain normalization and contextual grid for digital pathology
Transchex
network for vision-language transformers for chest X-ray analysis
DatasetSummary
utility in monai.data
WarmupCosineSchedule
Deprecation warnings and documentation support for better backwards compatibility
Padding with additional kwargs
and different backend API
Additional options such as dropout
and norm
in various networks and their submodules
Changed
Base Docker image upgraded to nvcr.io/nvidia/pytorch:21.08-py3
from nvcr.io/nvidia/pytorch:21.06-py3
Deprecated input argument n_classes
, in favor of num_classes
Deprecated input argument dimensions
and ndims
, in favor of spatial_dims
Updated the Sphinx-based documentation theme for better readability
NdarrayTensor
type is replaced by NdarrayOrTensor
for simpler annotations
Self-attention-based network blocks now support both 2D and 3D inputs
Removed
The deprecated TransformInverter
, in favor of monai.transforms.InvertD
GitHub self-hosted CI/CD pipelines for nightly and post-merge tests
monai.handlers.utils.evenly_divisible_all_gather
monai.handlers.utils.string_list_all_gather
Fixed
A Multi-thread cache writing issue in LMDBDataset
Output shape convention inconsistencies of the image readers
Output directory and file name flexibility issue for NiftiSaver
, PNGSaver
Requirement of the label
field in test-time augmentation
Input argument flexibility issues for ThreadDataLoader
Decoupled Dice
and CrossEntropy
intermediate results in DiceCELoss
Improved documentation, code examples, and warning messages in various modules
Various usability issues reported by users
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