niftynet.engine.application_factory module¶
Loading modules from a string representing the class name or a short name that matches the dictionary item defined in this module
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class
niftynet.engine.application_factory.
ApplicationFactory
¶ Bases:
niftynet.engine.application_factory.ModuleFactory
Import an application from niftynet.application or from user specified string
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SUPPORTED
= {'net_autoencoder': 'niftynet.application.autoencoder_application.AutoencoderApplication', 'net_segment': 'niftynet.application.segmentation_application.SegmentationApplication', 'net_gan': 'niftynet.application.gan_application.GANApplication'}¶
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type_str
= 'application'¶
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class
niftynet.engine.application_factory.
ApplicationNetFactory
¶ Bases:
niftynet.engine.application_factory.ModuleFactory
Import a network from niftynet.network or from user specified string
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SUPPORTED
= {'holisticnet': 'niftynet.network.holistic_net.HolisticNet', 'highres3dnet': 'niftynet.network.highres3dnet.HighRes3DNet', 'highres3dnet_small': 'niftynet.network.highres3dnet_small.HighRes3DNetSmall', 'unet': 'niftynet.network.unet.UNet3D', 'highres3dnet_large': 'niftynet.network.highres3dnet_large.HighRes3DNetLarge', 'vae': 'niftynet.network.vae.VAE', 'toynet': 'niftynet.network.toynet.ToyNet', 'deepmedic': 'niftynet.network.deepmedic.DeepMedic', 'dense_vnet': 'niftynet.network.dense_vnet.DenseVNet', 'scalenet': 'niftynet.network.scalenet.ScaleNet', 'vnet': 'niftynet.network.vnet.VNet', 'simulator_gan': 'niftynet.network.simulator_gan.SimulatorGAN', 'simple_gan': 'niftynet.network.simple_gan.SimpleGAN'}¶
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type_str
= 'network'¶
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class
niftynet.engine.application_factory.
LossAutoencoderFactory
¶ Bases:
niftynet.engine.application_factory.ModuleFactory
Import an autoencoder loss function from niftynet.layer or from user specified string
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SUPPORTED
= {'VariationalLowerBound': 'niftynet.layer.loss_autoencoder.variational_lower_bound'}¶
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type_str
= 'autoencoder loss'¶
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class
niftynet.engine.application_factory.
LossGANFactory
¶ Bases:
niftynet.engine.application_factory.ModuleFactory
Import a GAN loss function from niftynet.layer or from user specified string
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SUPPORTED
= {'CrossEntropy': 'niftynet.layer.loss_gan.cross_entropy'}¶
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type_str
= 'GAN loss'¶
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class
niftynet.engine.application_factory.
LossSegmentationFactory
¶ Bases:
niftynet.engine.application_factory.ModuleFactory
Import a segmentation loss function from niftynet.layer or from user specified string
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SUPPORTED
= {'L2Loss': 'niftynet.layer.loss_segmentation.l2_loss', 'Dice': 'niftynet.layer.loss_segmentation.dice', 'L1Loss': 'niftynet.layer.loss_segmentation.l1_loss', 'CrossEntropy': 'niftynet.layer.loss_segmentation.cross_entropy', 'SensSpec': 'niftynet.layer.loss_segmentation.sensitivity_specificity_loss', 'Huber': 'niftynet.layer.loss_segmentation.huber_loss', 'Dice_NS': 'niftynet.layer.loss_segmentation.dice_nosquare', 'GDSC': 'niftynet.layer.loss_segmentation.generalised_dice_loss', 'WGDL': 'niftynet.layer.loss_segmentation.generalised_wasserstein_dice_loss'}¶
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type_str
= 'segmentation loss'¶
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class
niftynet.engine.application_factory.
ModuleFactory
¶ Bases:
object
General interface for importing a class by its name.
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SUPPORTED
= None¶
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classmethod
create
(name)¶ import a class by name
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type_str
= 'object'¶
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class
niftynet.engine.application_factory.
OptimiserFactory
¶ Bases:
niftynet.engine.application_factory.ModuleFactory
Import an optimiser from niftynet.engine.application_optimiser or from user specified string
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SUPPORTED
= {'adagrad': 'niftynet.engine.application_optimiser.Adagrad', 'adam': 'niftynet.engine.application_optimiser.Adam', 'momentum': 'niftynet.engine.application_optimiser.Momentum', 'gradientdescent': 'niftynet.engine.application_optimiser.GradientDescent'}¶
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type_str
= 'optimizer'¶
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niftynet.engine.application_factory.
select_module
(module_name, type_str, lookup_table)¶ This function first tries to find the absolute module name by matching the static dictionary items, if not found, it tries to import the module by splitting the input module_name as module name and class name to be imported.
Parameters: moduel_name – string that matches the keys defined in lookup_table or an absolute class name: module.name.ClassName Type_str: type of the module (currently used for better error display) Lookup_table: defines a set of shorthands for absolute class name