Skip to content

0.4.0
Compare
Choose a tag to compare
@wyli wyli released this 15 Dec 15:21
0.4.0
0563a44
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.

Added

  • Overview document for feature highlights in v0.4.0
  • Torchscript support for the net modules
  • New networks and layers:
    • Discrete Gaussian kernels
    • Hilbert transform and envelope detection
    • Swish and Mish activation
    • Acti-norm-dropout block
    • Upsampling layer
    • Autoencoder, Variational autoencoder
    • FCNet
  • Support of initialisation from pre-trained weights for densenet, SENet, multichannel AHNet
  • Layer-wise learning rate API
  • New model metrics and event handlers based on occlusion sensitivity, confusion matrix, surface distance
  • CAM/GradCAM/GradCAM++
  • File format-agnostic image loader APIs with Nibabel, ITK readers
  • Enhancements for dataset partition, cross-validation APIs
  • New data APIs:
    • LMDB-based caching dataset
    • Cache-N-transforms dataset
    • Iterable dataset
    • Patch dataset
  • Weekly PyPI release
  • Fully compatible with PyTorch 1.7
  • CI/CD enhancements:
    • Skip, speed up, fail fast, timed, quick tests
    • Distributed training tests
    • Performance profiling utilities
  • New tutorials and demos:
    • Autoencoder, VAE tutorial
    • Cross-validation demo
    • Model interpretability tutorial
    • COVID-19 Lung CT segmentation challenge open-source baseline
    • Threadbuffer demo
    • Dataset partitioning tutorial
    • Layer-wise learning rate demo
    • MONAI Bootcamp 2020

Changed

  • Base Docker image upgraded to nvcr.io/nvidia/pytorch:20.10-py3 from nvcr.io/nvidia/pytorch:20.08-py3

Backwards Incompatible Changes

  • monai.apps.CVDecathlonDataset is extended to a generic monai.apps.CrossValidation with an dataset_cls option
  • Cache dataset now requires a monai.transforms.Compose instance as the transform argument
  • Model checkpoint file name extensions changed from .pth to .pt
  • Readers' get_spatial_shape returns a numpy array instead of list
  • Decoupled postprocessing steps such as sigmoid, to_onehot_y, mutually_exclusive, logit_thresh from metrics and event handlers, the postprocessing steps should be used accordingly before computing the metrics
  • ConfusionMatrixMetric and DiceMetric computation now returns an additional not_nans flag to indicate valid results
  • UpSample optional mode supports "deconv", "nontrainable", "pixelshuffle"; interp_mode is only used when mode is "nontrainable"
  • SegResNet optional upsample_mode now supports "deconv", "nontrainable", "pixelshuffle"
  • monai.transforms.Compose class inherits monai.transforms.Transform
  • In Rotate, Rotated, RandRotate, RandRotated transforms, the angle related parameters are interpreted as angles in radians instead of degrees.
  • SplitChannel and SplitChanneld moved from transforms.post to transforms.utility

Removed

  • Support of PyTorch 1.4

Fixed

  • Enhanced the Dice related loss functions for stability and flexibility
  • Sliding window inference memory and device issues
  • Revised transforms:
    • Normalize intensity datatype and normalizer types
    • Padding modes for zoom
    • Crop returns coordinates
    • Select items transform
    • Weighted patch sampling
    • Option to keep aspect ratio for zoom
  • Various CI/CD issues
Assets 2
Loading