CSBDeep
0.8.0
Installation
Model overview
Training data generation
Model training
Model application
CSBDeep
»
Index
Index
A
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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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I
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K
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L
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M
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N
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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
A
after() (csbdeep.data.Normalizer method)
(csbdeep.data.PadAndCropResizer method)
(csbdeep.data.PercentileNormalizer method)
(csbdeep.data.Resizer method)
anisotropic_distortions() (in module csbdeep.data)
B
before() (csbdeep.data.Normalizer method)
(csbdeep.data.PadAndCropResizer method)
(csbdeep.data.PercentileNormalizer method)
(csbdeep.data.Resizer method)
C
CARE (class in csbdeep.models)
common_unet() (in module csbdeep.internals.nets)
Config (class in csbdeep.models)
config (csbdeep.models.CARE attribute)
create_patches() (in module csbdeep.data)
create_patches_reduced_target() (in module csbdeep.data)
crop_images() (in module csbdeep.data)
csbdeep.data
module
D
do_after (csbdeep.data.Normalizer property)
(csbdeep.data.PercentileNormalizer property)
E
export_SavedModel() (in module csbdeep.utils.tf)
export_TF() (csbdeep.models.CARE method)
F
from_arrays() (csbdeep.data.RawData static method)
from_folder() (csbdeep.data.RawData static method)
I
identity() (csbdeep.data.Transform static method)
is_valid() (csbdeep.models.Config method)
IsotropicCARE (class in csbdeep.models)
K
keras_model (csbdeep.models.CARE attribute)
L
load_training_data() (in module csbdeep.io)
logdir (csbdeep.models.CARE attribute)
M
module
csbdeep.data
N
n_dim (csbdeep.models.Config attribute)
name (csbdeep.models.CARE attribute)
no_background_patches() (in module csbdeep.data)
NoNormalizer (class in csbdeep.data)
NoResizer (class in csbdeep.data)
norm_percentiles() (in module csbdeep.data)
Normalizer (class in csbdeep.data)
P
PadAndCropResizer (class in csbdeep.data)
PercentileNormalizer (class in csbdeep.data)
permute_axes() (in module csbdeep.data)
predict() (csbdeep.models.CARE method)
(csbdeep.models.IsotropicCARE method)
(csbdeep.models.UpsamplingCARE method)
predict_probabilistic() (csbdeep.models.CARE method)
(csbdeep.models.IsotropicCARE method)
(csbdeep.models.UpsamplingCARE method)
prepare_for_training() (csbdeep.models.CARE method)
prepare_model() (in module csbdeep.internals.train)
ProbabilisticPrediction (class in csbdeep.internals.probability)
ProjectionCARE (class in csbdeep.models)
R
RawData (class in csbdeep.data)
Resizer (class in csbdeep.data)
S
sample_percentiles() (in module csbdeep.data)
save_training_data() (in module csbdeep.io)
T
train() (csbdeep.models.CARE method)
train_batch_size (csbdeep.models.Config attribute)
train_checkpoint (csbdeep.models.Config attribute)
train_epochs (csbdeep.models.Config attribute)
train_learning_rate (csbdeep.models.Config attribute)
train_loss (csbdeep.models.Config attribute)
train_reduce_lr (csbdeep.models.Config attribute)
train_steps_per_epoch (csbdeep.models.Config attribute)
train_tensorboard (csbdeep.models.Config attribute)
Transform (class in csbdeep.data)
U
unet_kern_size (csbdeep.models.Config attribute)
unet_last_activation (csbdeep.models.Config attribute)
unet_n_depth (csbdeep.models.Config attribute)
unet_n_first (csbdeep.models.Config attribute)
unet_residual (csbdeep.models.Config attribute)
UpsamplingCARE (class in csbdeep.models)