Releases
1.3.0
wyli
released this
12 Oct 17:37
Added
Intensity transforms ScaleIntensityFixedMean
and RandScaleIntensityFixedMean
(#6542 )
UltrasoundConfidenceMapTransform
used for computing confidence map from an ultrasound image (#6709 )
channel_wise
support in RandScaleIntensity
and RandShiftIntensity
(#6793 , #7025 )
RandSimulateLowResolution
and RandSimulateLowResolutiond
(#6806 )
SignalFillEmptyd
(#7011 )
Euclidean distance transform DistanceTransformEDT
with GPU support (#6981 )
Port loss and metrics from monai-generative
(#6729 , #6836 )
Support invert_image
and retain_stats
in AdjustContrast
and RandAdjustContrast
(#6542 )
New network DAF3D
and Quicknat
(#6306 )
Support sincos
position embedding (#6986 )
ZarrAvgMerger
used for patch inference (#6633 )
Dataset tracking support to MLFlowHandler
(#6616 )
Considering spacing and subvoxel borders in SurfaceDiceMetric
(#6681 )
CUCIM support for surface-related metrics (#7008 )
loss_fn
support in IgniteMetric
and renamed it to IgniteMetricHandler
(#6695 )
CallableEventWithFilter
and Events
options for trigger_event
in GarbageCollector
(#6663 )
Support random sorting option to GridPatch
, RandGridPatch
, GridPatchd
and RandGridPatchd
(#6701 )
Support multi-threaded batch sampling in PatchInferer
(#6139 )
SoftclDiceLoss
and SoftDiceclDiceLoss
(#6763 )
HausdorffDTLoss
and LogHausdorffDTLoss
(#6994 )
Documentation for TensorFloat-32
(#6770 )
Docstring format guide (#6780 )
GDSDataset
support for GDS (#6778 )
PyTorch backend support for MapLabelValue
(#6872 )
filter_func
in copy_model_state
to filter the weights to be loaded and filter_swinunetr
(#6917 )
stats_sender
to MonaiAlgo
for FL stats (#6984 )
freeze_layers
to help freeze specific layers (#6970 )
misc.
Refactor multi-node running command used in Auto3DSeg
into dedicated functions (#6623 )
Support str type annotation to device
in ToTensorD
(#6737 )
Improve logging message and file name extenstion in DataAnalyzer
for Auto3DSeg
(#6758 )
Set data_range
as a property in SSIMLoss
(#6788 )
Unify environment variable access (#7084 )
end_lr
support in WarmupCosineSchedule
(#6662 )
Add ClearML
as optional dependency (#6827 )
yandex.disk
support in download_url
(#6667 )
Improve config expression error message (#6977 )
Fixed
transforms
Make convert_box_to_mask
throw errors when box size larger than the image (#6637 )
Fix lazy mode in RandAffine
(#6774 )
Raise ValueError
when map_items
is bool in Compose
(#6882 )
Improve performance for NormalizeIntensity
(#6887 )
Fix mismatched shape in Spacing
(#6912 )
Avoid FutureWarning in CropForeground
(#6934 )
Fix Lazy=True
ignored when using Dataset
call (#6975 )
Shape check for arbitrary types for DataStats (#7082 )
data
Fix wrong spacing checking logic in PydicomReader
and broken link in ITKReader
(#6660 )
Fix boolean indexing of batched MetaTensor
(#6781 )
Raise warning when multiprocessing in DataLoader
(#6830 )
Remove shuffle
in DistributedWeightedRandomSampler
(#6886 )
Fix missing SegmentDescription
in PydicomReader
(#6937 )
Fix reading dicom series error in ITKReader
(#6943 )
Fix KeyError in PydicomReader
(#6946 )
Update metatensor_to_itk_image
to accept RAS MetaTensor
and update default 'space' in NrrdReader
to SpaceKeys.LPS
(#7000 )
Collate common meta dictionary keys (#7054 )
metrics and losses
Fixed bug in GeneralizedDiceLoss
when batch=True
(#6775 )
Support for BCEWithLogitsLoss
in DiceCELoss
(#6924 )
Support for weight
in Dice and related losses (#7098 )
networks
Use np.prod
instead of np.product
(#6639 )
Fix dimension issue in MBConvBlock
(#6672 )
Fix hard-coded up_kernel_size
in ViTAutoEnc
(#6735 )
Remove hard-coded bias_downsample
in resnet
(#6848 )
Fix unused kernel_size
in ResBlock
(#6999 )
Allow for defining reference grid on non-integer coordinates (#7032 )
Padding option for autoencoder (#7068 )
Lower peak memory usage for SegResNetDS (#7066 )
bundle
Set train_dataset_data
and dataset_data
to unrequired in BundleProperty (#6607 )
Set None
to properties that do not have REF_ID
(#6607 )
Fix AttributeError
for default value in get_parsed_content
for ConfigParser
(#6756 )
Update monai.bundle.scripts
to support NGC hosting (#6828 , #6997 )
Add MetaProperties
(#6835 )
Add create_workflow
and update load
function (#6835 )
Add bundle root directory to Python search directories automatically (#6910 )
Generate properties for bundle docs automatically (#6918 )
Move download_large_files
from model zoo to core (#6958 )
Bundle syntax #
as alias of ::
(#6955 )
Fix bundle download naming issue (#6969 , #6963 )
Simplify the usage of ckpt_export
(#6965 )
update_kwargs
in monai.bundle.script
for merging multiple configs (#7109 )
engines and handlers
Added int options for iteration_log
and epoch_log
in TensorBoardStatsHandler
(#7027 )
Support to run validator at training start (#7108 )
misc.
Fix device fallback error in DataAnalyzer
(#6658 )
Add int check for current_mode
in convert_applied_interp_mode
(#6719 )
Consistent type in convert_to_contiguous
(#6849 )
Label argmax
in DataAnalyzer
when retry on CPU (#6852 )
Fix DataAnalyzer
with histogram_only=True
(#6874 )
Fix AttributeError
in RankFilter
in single GPU environment (#6895 )
Remove the default warning on TORCH_ALLOW_TF32_CUBLAS_OVERRIDE
and add debug print info (#6909 )
Hide user information in print_config
(#6913 , #6922 )
Optionally pass coordinates to predictor during sliding window (#6795 )
Proper ensembling when trained with a sigmoid in AutoRunner
(#6588 )
Fixed test_retinanet
by increasing absolute differences (#6615 )
Add type check to avoid comparing a np.array with a string in _check_kwargs_are_present
(#6624 )
Fix md5 hashing with FIPS mode (#6635 )
Capture failures from Auto3DSeg related subprocess calls (#6596 )
Code formatting tool for user-specified directory (#7106 )
Various docstring fixes
Changed
Base Docker image upgraded to nvcr.io/nvidia/pytorch:23.08-py3
from nvcr.io/nvidia/pytorch:23.03-py3
Deprecated
allow_smaller=True
; allow_smaller=False
will be the new default in CropForeground
and generate_spatial_bounding_box
(#6736 )
dropout_prob
in VNet
in favor of dropout_prob_down
and dropout_prob_up
(#6768 )
workflow
in BundleWorkflow
in favor of workflow_type
(#6768 )
pos_embed
in PatchEmbeddingBlock
in favor of proj_type
(#6986 )
net_name
and net_kwargs
in download
in favor of model
(#7016 )
img_size
parameter in SwinUNETR (#7093 )
Removed
pad_val
, stride
, per_channel
and upsampler
in OcclusionSensitivity
(#6642 )
compute_meaniou
(#7019 )
AsChannelFirst
, AddChannel
and SplitChannel
(#7019 )
create_multigpu_supervised_trainer
and create_multigpu_supervised_evaluator
(#7019 )
runner_id
in run
(#7019 )
data_src_cfg_filename
in AlgoEnsembleBuilder
(#7019 )
get_validation_stats
in Evaluator
and get_train_stats
in Trainer
(#7019 )
epoch_interval
and iteration_interval
in TensorBoardStatsHandler
(#7019 )
some self-hosted test (#7041 )
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