dgbpy.mlmodel_torch_dGB
Module Contents
Classes
Functions
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- class dgbpy.mlmodel_torch_dGB.dGB_UnetSeg
Bases:
dgbpy.torch_classes.TorchUserModel- uiname = dGB UNet Segmentation
- uidescription = dGBs Unet image segmentation
- predtype
- outtype
- dimtype
- _make_model(self, model_shape, nroutputs, nrattribs)
- class dgbpy.mlmodel_torch_dGB.dGB_Simple_Net_Classifier
Bases:
dgbpy.torch_classes.TorchUserModel- uiname = Simple Net Classifier
- uidescription = dGbs Simple Net Classifier Model in TorchUserModel form
- predtype
- outtype
- dimtype
- _make_model(self, model_shape, nroutputs, nrattribs)
- class dgbpy.mlmodel_torch_dGB.dGB_UnetReg
Bases:
dgbpy.torch_classes.TorchUserModel- uiname = dGB UNet Regression
- uidescription = dGBs Unet image regression
- predtype
- outtype
- dimtype
- _make_model(self, model_shape, nroutputs, nrattribs)
- class dgbpy.mlmodel_torch_dGB.dGB_ResNet18
Bases:
dgbpy.torch_classes.TorchUserModel- uiname = ResNet 18 Classifier
- uidescription = dGBs ResNet Classifier Model in TorchUserModel form
- predtype
- outtype
- dimtype
- _make_model(self, model_shape, nroutputs, nrattribs)
- dgbpy.mlmodel_torch_dGB.ResNet18(nroutputs, dim, nrattribs)
- class dgbpy.mlmodel_torch_dGB.dGB_Simple_Net_Regressor
Bases:
dgbpy.torch_classes.TorchUserModel- uiname = Simple Net Regressor
- uidescription = dGbs Simple Net Regressor Model in TorchUserModel form
- predtype
- outtype
- dimtype
- _make_model(self, model_shape, nroutputs, nrattribs)
- class dgbpy.mlmodel_torch_dGB.dGB_LeNet_Regressor
Bases:
dgbpy.torch_classes.TorchUserModel- uiname = dGB LeNet Regressor
- uidescription = dGBs LeNet Regressor Model in TorchUserModel form
- predtype
- outtype
- dimtype
- _make_model(self, model_shape, nroutputs, nrattributes)
- class dgbpy.mlmodel_torch_dGB.dGB_LeNet_Classifier
Bases:
dgbpy.torch_classes.TorchUserModel- uiname = dGB LeNet Classifier
- uidescription = dGBs LeNet Classifier Model in TorchUserModel form
- predtype
- outtype
- dimtype
- _make_model(self, model_shape, nroutputs, nrattributes)