elektronn3
latest
API documentation:
elektronn3.data package
elektronn3.training package
elektronn3.models package
elektronn3.modules package
elektronn3.inference package
elektronn3
Index
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Index
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B
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C
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D
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E
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F
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G
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H
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I
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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X
A
AccumulationArray (class in elektronn3.training.train_utils)
Accuracy (class in elektronn3.training.metrics)
accuracy() (in module elektronn3.training.metrics)
ACLoss (class in elektronn3.modules.loss)
add_conv_block() (in module elektronn3.models.msdnet)
add_offset() (elektronn3.training.train_utils.AccumulationArray method)
add_param_group() (elektronn3.training.swa.SWA method)
add_timeticks() (in module elektronn3.training.plotting)
AdditiveGaussianNoise (class in elektronn3.data.transforms.transforms)
AlbuSeg2d (class in elektronn3.data.transforms.transforms)
AMI (class in elektronn3.training.metrics)
append() (elektronn3.training.train_utils.AccumulationArray method)
apply_random_blurring() (in module elektronn3.data.transforms.random_blurring)
archive_backup() (elektronn3.training.trainer.Backup method)
Argmax (class in elektronn3.inference.inference)
ARI (class in elektronn3.training.metrics)
as_floatX() (in module elektronn3.data.utils)
AUROC (class in elektronn3.training.metrics)
auroc() (in module elektronn3.training.metrics)
autocrop() (elektronn3.models.unet3d_lite.UNet3dLite static method)
average_precision() (in module elektronn3.training.metrics)
AveragePrecision (class in elektronn3.training.metrics)
AxialAttention (class in elektronn3.modules.axial_attention)
AxialImageTransformer (class in elektronn3.modules.axial_attention)
AxialPositionalEmbedding (class in elektronn3.modules.axial_attention)
B
Backup (class in elektronn3.training.trainer)
backward() (elektronn3.inference.inference.FlipAugment method)
backward_pass() (elektronn3.modules.axial_attention.ReversibleBlock method)
bias (elektronn3.modules.wsconv.WSConv1d attribute)
bin_accuracy() (in module elektronn3.training.metrics)
bin_auroc() (in module elektronn3.training.metrics)
bin_average_precision() (in module elektronn3.training.metrics)
bin_dice_coefficient() (in module elektronn3.training.metrics)
bin_iou() (in module elektronn3.training.metrics)
bin_precision() (in module elektronn3.training.metrics)
bin_recall() (in module elektronn3.training.metrics)
binary_xloss() (in module elektronn3.modules.lovasz_losses)
bn_update() (elektronn3.training.swa.SWA static method)
Bottleneck (class in elektronn3.models.tiramisu_2d)
C
calculate_class_weights() (in module elektronn3.data.utils)
calculate_means() (in module elektronn3.data.utils)
calculate_nd_slice() (in module elektronn3.data.utils)
calculate_offset() (in module elektronn3.data.utils)
calculate_permutations() (in module elektronn3.modules.axial_attention)
calculate_stds() (in module elektronn3.data.utils)
center_crop() (in module elektronn3.models.tiramisu_2d)
channel_metric() (in module elektronn3.training.metrics)
check_files() (elektronn3.data.cnndata.PatchCreator method)
check_random_data_blurring_config() (in module elektronn3.data.transforms.random_blurring)
Clahe2d (class in elektronn3.data.transforms.transforms)
CleanExit (class in elektronn3.data.utils)
clear() (elektronn3.training.train_utils.AccumulationArray method)
close_files() (elektronn3.data.cnndata.SimpleNeuroData2d method)
CombinedLoss (class in elektronn3.modules.loss)
Compose (class in elektronn3.data.transforms.transforms)
confusion_matrix() (in module elektronn3.training.metrics)
ContBatchNorm3d (class in elektronn3.models.vnet)
Conv3DLayer (class in elektronn3.models.simple)
counter (elektronn3.data.transforms.random_blurring.FunctionCallsCounter attribute)
create_preview_batch_from_knossos() (in module elektronn3.training.train_utils)
create_region() (elektronn3.data.transforms.region_generator.RegionGenerator method)
D
data (elektronn3.training.train_utils.AccumulationArray property)
DataSource (class in elektronn3.data.sources)
DelayedInterrupt (class in elektronn3.data.utils)
DenseBlock (class in elektronn3.models.tiramisu_2d)
DenseLayer (class in elektronn3.models.tiramisu_2d)
Deterministic (class in elektronn3.modules.axial_attention)
dice_coefficient() (in module elektronn3.training.metrics)
dice_loss() (in module elektronn3.modules.loss)
DiceLoss (class in elektronn3.modules.loss)
DistanceTransformTarget (class in elektronn3.data.transforms.transforms)
DistanceWeightedMSELoss (class in elektronn3.modules.loss)
down() (elektronn3.models.unet3d_lite.UNet3dLite static method)
DownTransition (class in elektronn3.models.vnet)
DropIfTooMuchBG (class in elektronn3.data.transforms.transforms)
DSC (class in elektronn3.training.metrics)
E
edt() (elektronn3.data.transforms.transforms.DistanceTransformTarget method)
ElasticTransform (class in elektronn3.data.transforms.transforms)
elektronn3
module
elektronn3.data
module
elektronn3.data.cnndata
module
elektronn3.data.coord_transforms
module
elektronn3.data.sources
module
elektronn3.data.transforms
module
elektronn3.data.transforms.functional
module
elektronn3.data.transforms.random
module
elektronn3.data.transforms.random_blurring
module
elektronn3.data.transforms.region_generator
module
elektronn3.data.transforms.transforms
module
elektronn3.data.utils
module
elektronn3.inference
module
elektronn3.inference.inference
module
elektronn3.logger
module
elektronn3.models
module
elektronn3.models.base
module
elektronn3.models.fcn
module
elektronn3.models.fcn_2d
module
elektronn3.models.msdnet
module
elektronn3.models.resunet
module
elektronn3.models.simple
module
elektronn3.models.tiramisu_2d
module
elektronn3.models.unet
module
elektronn3.models.unet3d_lite
module
elektronn3.models.vnet
module
elektronn3.modules
module
elektronn3.modules.axial_attention
module
elektronn3.modules.evonorm
module
elektronn3.modules.l1batchnorm
module
elektronn3.modules.layers
module
elektronn3.modules.loss
module
elektronn3.modules.lovasz_losses
module
elektronn3.modules.wsconv
module
elektronn3.training
module
elektronn3.training.handlers
module
elektronn3.training.metrics
module
elektronn3.training.noise2void
module
elektronn3.training.padam
module
elektronn3.training.plotting
module
elektronn3.training.recalibration
module
elektronn3.training.swa
module
elektronn3.training.train_utils
module
elektronn3.training.trainer
module
elektronn3.training.triplettrainer
module
ELUCons() (in module elektronn3.models.vnet)
ema (elektronn3.training.train_utils.AccumulationArray property)
epoch (elektronn3.training.trainer.Trainer attribute)
Evaluator (class in elektronn3.training.metrics)
EvoNorm (class in elektronn3.modules.evonorm)
exists() (in module elektronn3.modules.axial_attention)
exit_gracefully() (elektronn3.data.utils.GracefulInterrupt method)
exp_name (elektronn3.training.trainer.Trainer attribute)
exp_update() (elektronn3.data.transforms.random_blurring.ScalarScheduler method)
Extended3DNet (class in elektronn3.models.simple)
F
FCDenseNet (class in elektronn3.models.tiramisu_2d)
FCDenseNet103() (in module elektronn3.models.tiramisu_2d)
FCDenseNet57() (in module elektronn3.models.tiramisu_2d)
FCDenseNet67() (in module elektronn3.models.tiramisu_2d)
fcn16s (class in elektronn3.models.fcn)
FCN16s (class in elektronn3.models.fcn_2d)
fcn32s (class in elektronn3.models.fcn)
FCN32s (class in elektronn3.models.fcn_2d)
fcn8s (class in elektronn3.models.fcn)
FCN8s (class in elektronn3.models.fcn_2d)
FCNs (class in elektronn3.models.fcn_2d)
findcudatensors() (in module elektronn3.training.trainer)
FixMatchSegLoss (class in elektronn3.modules.loss)
flatten_binary_scores() (in module elektronn3.modules.lovasz_losses)
flatten_probas() (in module elektronn3.modules.lovasz_losses)
FlipAugment (class in elektronn3.inference.inference)
floatX (in module elektronn3)
FocalLoss (class in elektronn3.modules.loss)
forward() (elektronn3.inference.inference.Argmax method)
(elektronn3.inference.inference.FlipAugment method)
(elektronn3.models.fcn.fcn16s method)
(elektronn3.models.fcn.fcn32s method)
(elektronn3.models.fcn.fcn8s method)
(elektronn3.models.fcn_2d.FCN16s method)
(elektronn3.models.fcn_2d.FCN32s method)
(elektronn3.models.fcn_2d.FCN8s method)
(elektronn3.models.fcn_2d.FCNs method)
(elektronn3.models.fcn_2d.VGGNet method)
(elektronn3.models.msdnet.MSDNet method)
(elektronn3.models.resunet.UNet method)
(elektronn3.models.simple.Conv3DLayer method)
(elektronn3.models.simple.Extended3DNet method)
(elektronn3.models.simple.N3DNet method)
(elektronn3.models.simple.Simple3DNet method)
(elektronn3.models.simple.StackedConv2Scalar method)
(elektronn3.models.simple.StackedConv2ScalarWithLatentAdd method)
(elektronn3.models.tiramisu_2d.Bottleneck method)
(elektronn3.models.tiramisu_2d.DenseBlock method)
(elektronn3.models.tiramisu_2d.DenseLayer method)
(elektronn3.models.tiramisu_2d.FCDenseNet method)
(elektronn3.models.tiramisu_2d.TransitionDown method)
(elektronn3.models.tiramisu_2d.TransitionUp method)
(elektronn3.models.unet.UNet method)
(elektronn3.models.unet3d_lite.UNet3dLite method)
(elektronn3.models.vnet.ContBatchNorm3d method)
(elektronn3.models.vnet.DownTransition method)
(elektronn3.models.vnet.InputTransition method)
(elektronn3.models.vnet.LUConv method)
(elektronn3.models.vnet.OutputTransition method)
(elektronn3.models.vnet.UpTransition method)
(elektronn3.models.vnet.VNet method)
(elektronn3.modules.axial_attention.AxialAttention method)
(elektronn3.modules.axial_attention.AxialImageTransformer method)
(elektronn3.modules.axial_attention.AxialPositionalEmbedding method)
(elektronn3.modules.axial_attention.Deterministic method)
(elektronn3.modules.axial_attention.IrreversibleBlock method)
(elektronn3.modules.axial_attention.PermuteToFrom method)
(elektronn3.modules.axial_attention.ReversibleBlock method)
(elektronn3.modules.axial_attention.ReversibleSequence method)
(elektronn3.modules.axial_attention.Rezero method)
(elektronn3.modules.axial_attention.SelfAttention method)
(elektronn3.modules.axial_attention.Sequential method)
(elektronn3.modules.evonorm.EvoNorm method)
(elektronn3.modules.l1batchnorm.L1BatchNorm method)
(elektronn3.modules.l1batchnorm.L1GroupNorm method)
(elektronn3.modules.layers.GatherExcite method)
(elektronn3.modules.loss.ACLoss method)
(elektronn3.modules.loss.CombinedLoss method)
(elektronn3.modules.loss.DiceLoss method)
(elektronn3.modules.loss.DistanceWeightedMSELoss method)
(elektronn3.modules.loss.FixMatchSegLoss method)
(elektronn3.modules.loss.FocalLoss method)
(elektronn3.modules.loss.GAPTripletMarginLoss method)
(elektronn3.modules.loss.LovaszLoss method)
(elektronn3.modules.loss.MaskedMSELoss static method)
(elektronn3.modules.loss.MixedCombinedLoss method)
(elektronn3.modules.loss.NorpfDiceLoss method)
(elektronn3.modules.loss.SoftmaxBCELoss method)
(elektronn3.modules.lovasz_losses.StableBCELoss method)
(elektronn3.modules.wsconv.FWS method)
(elektronn3.modules.wsconv.WSConv1d method)
(elektronn3.modules.wsconv.WSConv2d method)
(elektronn3.modules.wsconv.WSConv3d method)
(elektronn3.modules.wsconv.WSConvTranspose2d method)
(elektronn3.modules.wsconv.WSConvTranspose3d method)
forward_gradcp() (elektronn3.models.resunet.UNet method)
(elektronn3.models.unet.UNet method)
FunctionCallsCounter (class in elektronn3.data.transforms.random_blurring)
FWS (class in elektronn3.modules.wsconv)
G
GAPTripletMarginLoss (class in elektronn3.modules.loss)
GatherExcite (class in elektronn3.modules.layers)
get_class_counts() (in module elektronn3.data.utils)
get_cmap() (in module elektronn3.training.handlers)
get_length() (elektronn3.modules.loss.ACLoss static method)
get_nonzero_label_ratio() (in module elektronn3.data.utils)
get_random_augmenters() (elektronn3.modules.loss.FixMatchSegLoss static method)
get_region() (elektronn3.modules.loss.ACLoss static method)
get_stratified_coords() (in module elektronn3.training.noise2void)
get_warped_coord_transform() (in module elektronn3.data.coord_transforms)
global_average_pooling() (in module elektronn3.modules.loss)
GracefulInterrupt (class in elektronn3.data.utils)
group_std() (in module elektronn3.modules.evonorm)
H
HalfNormal (class in elektronn3.data.transforms.random)
HDF5DataSource (class in elektronn3.data.sources)
HistoryTracker (class in elektronn3.training.train_utils)
I
Identity (class in elektronn3.data.transforms.transforms)
idle_update() (elektronn3.data.transforms.random_blurring.ScalarScheduler method)
IncorrectLimits
IncorrectThreshold
IncorrectType
IncorrectValue
InferenceModel (class in elektronn3.models.base)
init_vgg16_params() (elektronn3.models.fcn.fcn16s method)
(elektronn3.models.fcn.fcn32s method)
(elektronn3.models.fcn.fcn8s method)
InputTransition (class in elektronn3.models.vnet)
instance_std() (in module elektronn3.modules.evonorm)
IoU (class in elektronn3.training.metrics)
iou() (in module elektronn3.modules.lovasz_losses)
(in module elektronn3.training.metrics)
iou_binary() (in module elektronn3.modules.lovasz_losses)
IrreversibleBlock (class in elektronn3.modules.axial_attention)
L
l1_group_norm() (in module elektronn3.modules.l1batchnorm)
L1BatchNorm (class in elektronn3.modules.l1batchnorm)
L1GroupNorm (class in elektronn3.modules.l1batchnorm)
Lambda (class in elektronn3.data.transforms.transforms)
lin_update() (elektronn3.data.transforms.random_blurring.ScalarScheduler method)
load_data() (elektronn3.data.cnndata.PatchCreator method)
load_model() (in module elektronn3.models.base)
load_state_dict() (elektronn3.training.swa.SWA method)
logger_setup() (in module elektronn3.logger)
lovasz_grad() (in module elektronn3.modules.lovasz_losses)
lovasz_hinge() (in module elektronn3.modules.lovasz_losses)
lovasz_hinge_flat() (in module elektronn3.modules.lovasz_losses)
lovasz_softmax() (in module elektronn3.modules.lovasz_losses)
lovasz_softmax_flat() (in module elektronn3.modules.lovasz_losses)
LovaszLoss (class in elektronn3.modules.loss)
LUConv (class in elektronn3.models.vnet)
M
make_layers() (in module elektronn3.models.fcn_2d)
map_el_ind() (in module elektronn3.modules.axial_attention)
MaskedMSELoss (class in elektronn3.modules.loss)
max() (elektronn3.training.train_utils.AccumulationArray method)
mean() (elektronn3.training.train_utils.AccumulationArray method)
(in module elektronn3.modules.lovasz_losses)
min() (elektronn3.training.train_utils.AccumulationArray method)
MixedCombinedLoss (class in elektronn3.modules.loss)
module
elektronn3
elektronn3.data
elektronn3.data.cnndata
elektronn3.data.coord_transforms
elektronn3.data.sources
elektronn3.data.transforms
elektronn3.data.transforms.functional
elektronn3.data.transforms.random
elektronn3.data.transforms.random_blurring
elektronn3.data.transforms.region_generator
elektronn3.data.transforms.transforms
elektronn3.data.utils
elektronn3.inference
elektronn3.inference.inference
elektronn3.logger
elektronn3.models
elektronn3.models.base
elektronn3.models.fcn
elektronn3.models.fcn_2d
elektronn3.models.msdnet
elektronn3.models.resunet
elektronn3.models.simple
elektronn3.models.tiramisu_2d
elektronn3.models.unet
elektronn3.models.unet3d_lite
elektronn3.models.vnet
elektronn3.modules
elektronn3.modules.axial_attention
elektronn3.modules.evonorm
elektronn3.modules.l1batchnorm
elektronn3.modules.layers
elektronn3.modules.loss
elektronn3.modules.lovasz_losses
elektronn3.modules.wsconv
elektronn3.training
elektronn3.training.handlers
elektronn3.training.metrics
elektronn3.training.noise2void
elektronn3.training.padam
elektronn3.training.plotting
elektronn3.training.recalibration
elektronn3.training.swa
elektronn3.training.train_utils
elektronn3.training.trainer
elektronn3.training.triplettrainer
MSDNet (class in elektronn3.models.msdnet)
N
N3DNet (class in elektronn3.models.simple)
name (elektronn3.training.metrics.Accuracy attribute)
(elektronn3.training.metrics.AMI attribute)
(elektronn3.training.metrics.ARI attribute)
(elektronn3.training.metrics.AUROC attribute)
(elektronn3.training.metrics.AveragePrecision attribute)
(elektronn3.training.metrics.DSC attribute)
(elektronn3.training.metrics.Evaluator attribute)
(elektronn3.training.metrics.IoU attribute)
(elektronn3.training.metrics.NMI attribute)
(elektronn3.training.metrics.Precision attribute)
(elektronn3.training.metrics.Recall attribute)
(elektronn3.training.metrics.SilhouetteScore attribute)
NaNException
NMI (class in elektronn3.training.metrics)
NoApplicableLayersException
Noise2VoidTrainer (class in elektronn3.training.noise2void)
Normal (class in elektronn3.data.transforms.random)
Normalize (class in elektronn3.data.transforms.transforms)
norpf_dice_loss() (in module elektronn3.modules.loss)
NorpfDiceLoss (class in elektronn3.modules.loss)
now (elektronn3.data.utils.GracefulInterrupt attribute)
O
onscroll() (elektronn3.training.plotting.Scroller method)
open_files() (elektronn3.data.cnndata.PatchCreator method)
out_channels (elektronn3.training.trainer.Trainer attribute)
OutputTransition (class in elektronn3.models.vnet)
P
Padam (class in elektronn3.training.padam)
passthrough() (in module elektronn3.models.vnet)
PatchCreator (class in elektronn3.data.cnndata)
PermuteToFrom (class in elektronn3.modules.axial_attention)
plot() (elektronn3.training.train_utils.HistoryTracker method)
plot_hist() (in module elektronn3.training.plotting)
plot_image() (in module elektronn3.training.handlers)
PoolingError
Precision (class in elektronn3.training.metrics)
precision() (in module elektronn3.training.metrics)
predict() (elektronn3.inference.inference.Predictor method)
predict_proba() (elektronn3.inference.inference.Predictor method)
(elektronn3.models.base.InferenceModel method)
Predictor (class in elektronn3.inference.inference)
prepare_sample() (in module elektronn3.training.noise2void)
pretty_string_time() (in module elektronn3.training.train_utils)
R
RandInt (class in elektronn3.data.transforms.random)
RandomBlurring (class in elektronn3.data.transforms.transforms)
RandomBrightnessContrast (class in elektronn3.data.transforms.transforms)
RandomCrop (class in elektronn3.data.transforms.transforms)
RandomFlip (class in elektronn3.data.transforms.transforms)
RandomGammaCorrection (class in elektronn3.data.transforms.transforms)
RandomGaussianBlur (class in elektronn3.data.transforms.transforms)
RandomGrayAugment (class in elektronn3.data.transforms.transforms)
RandomRotate2d (class in elektronn3.data.transforms.transforms)
RandomSampler (class in elektronn3.data.transforms.random)
RandomSlicewiseTransform (class in elektronn3.data.transforms.transforms)
recalibrate_bn() (in module elektronn3.training.recalibration)
Recall (class in elektronn3.training.metrics)
recall() (in module elektronn3.training.metrics)
Reconstruction2d (class in elektronn3.data.cnndata)
record_rng() (elektronn3.modules.axial_attention.Deterministic method)
Region (class in elektronn3.data.transforms.region_generator)
RegionGenerator (class in elektronn3.data.transforms.region_generator)
register_debug_output_names() (elektronn3.training.train_utils.HistoryTracker method)
RemapTargetIDs (class in elektronn3.data.transforms.transforms)
reset_parameters() (elektronn3.modules.evonorm.EvoNorm method)
resize_conv_ala_distill() (in module elektronn3.models.fcn_2d)
ReversibleBlock (class in elektronn3.modules.axial_attention)
ReversibleSequence (class in elektronn3.modules.axial_attention)
Rezero (class in elektronn3.modules.axial_attention)
run() (elektronn3.training.trainer.Trainer method)
S
save_path (elektronn3.training.trainer.Trainer attribute)
save_to_h5() (in module elektronn3.data.utils)
ScalarScheduler (class in elektronn3.data.transforms.random_blurring)
scroll_plot() (in module elektronn3.training.plotting)
Scroller (class in elektronn3.training.plotting)
Segmentation2d (class in elektronn3.data.cnndata)
SelfAttention (class in elektronn3.modules.axial_attention)
Sequential (class in elektronn3.modules.axial_attention)
set_offset() (elektronn3.data.cnndata.PatchCreator method)
(elektronn3.data.cnndata.Segmentation2d method)
set_state_dict() (in module elektronn3.inference.inference)
SilhouetteScore (class in elektronn3.training.metrics)
Simple3DNet (class in elektronn3.models.simple)
SimpleNeuroData2d (class in elektronn3.data.cnndata)
slice_3d() (in module elektronn3.data.sources)
sma() (in module elektronn3.training.plotting)
SmoothOneHotTarget (class in elektronn3.data.transforms.transforms)
SoftmaxBCELoss (class in elektronn3.modules.loss)
sort_and_return_indices() (in module elektronn3.modules.axial_attention)
squash01() (in module elektronn3.data.utils)
SqueezeTarget (class in elektronn3.data.transforms.transforms)
StableBCELoss (class in elektronn3.modules.lovasz_losses)
StackedConv2Scalar (class in elektronn3.models.simple)
StackedConv2ScalarWithLatentAdd (class in elektronn3.models.simple)
standardize_weight() (elektronn3.modules.wsconv.FWS method)
(elektronn3.modules.wsconv.WSConv1d method)
(elektronn3.modules.wsconv.WSConv2d method)
(elektronn3.modules.wsconv.WSConv3d method)
(elektronn3.modules.wsconv.WSConvTranspose2d method)
(elektronn3.modules.wsconv.WSConvTranspose3d method)
state_dict() (elektronn3.training.swa.SWA method)
step (elektronn3.training.trainer.Trainer attribute)
step() (elektronn3.data.transforms.random_blurring.ScalarScheduler method)
(elektronn3.training.padam.Padam method)
(elektronn3.training.swa.SWA method)
sum() (elektronn3.training.train_utils.AccumulationArray method)
SWA (class in elektronn3.training.swa)
swap_swa_sgd() (elektronn3.training.swa.SWA method)
T
t_passed (elektronn3.training.train_utils.Timer property)
tb (elektronn3.training.trainer.Trainer attribute)
terminate (elektronn3.training.trainer.Trainer attribute)
tiled_apply() (in module elektronn3.inference.inference)
Timer (class in elektronn3.training.train_utils)
train_loader (elektronn3.training.trainer.Trainer attribute)
Trainer (class in elektronn3.training.trainer)
TransitionDown (class in elektronn3.models.tiramisu_2d)
TransitionUp (class in elektronn3.models.tiramisu_2d)
TripletTrainer (class in elektronn3.training.triplettrainer)
U
UNet (class in elektronn3.models.resunet)
(class in elektronn3.models.unet)
UNet3dLite (class in elektronn3.models.unet3d_lite)
update() (elektronn3.training.plotting.Scroller method)
update_debug_outputs() (elektronn3.training.train_utils.HistoryTracker method)
update_history() (elektronn3.training.train_utils.HistoryTracker method)
update_regression() (elektronn3.training.train_utils.HistoryTracker method)
update_swa() (elektronn3.training.swa.SWA method)
update_swa_group() (elektronn3.training.swa.SWA method)
update_timeline() (elektronn3.training.train_utils.HistoryTracker method)
UpTransition (class in elektronn3.models.vnet)
V
valid_loader (elektronn3.training.trainer.Trainer attribute)
VGGNet (class in elektronn3.models.fcn_2d)
VNet (class in elektronn3.models.vnet)
W
warp_cut() (elektronn3.data.cnndata.PatchCreator method)
warp_slice() (in module elektronn3.data.coord_transforms)
warp_stats (elektronn3.data.cnndata.PatchCreator property)
WarpingOOBError
weight (elektronn3.modules.wsconv.WSConv1d attribute)
weight_init() (elektronn3.models.msdnet.MSDNet static method)
(elektronn3.models.resunet.UNet static method)
(elektronn3.models.unet.UNet static method)
write_to_kzip() (in module elektronn3.training.handlers)
WSConv1d (class in elektronn3.modules.wsconv)
WSConv2d (class in elektronn3.modules.wsconv)
WSConv3d (class in elektronn3.modules.wsconv)
WSConvTranspose2d (class in elektronn3.modules.wsconv)
WSConvTranspose3d (class in elektronn3.modules.wsconv)
X
xloss() (in module elektronn3.modules.lovasz_losses)
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