unreal.NeuralMorphTrainingModel

class unreal.NeuralMorphTrainingModel(outer: Object | None = None, name: Name | str = 'None')

Bases: MLDeformerGeomCacheTrainingModel

The training model for the neural morph model. This class is our link to the Python training.

C++ Source:

• Plugin: NeuralMorphModel

• Module: NeuralMorphModelEditor

• File: NeuralMorphTrainingModel.h

Editor Properties: (see get_editor_property/set_editor_property)

• mask_index_per_sample (Array[int32]): [Read-Write] The mask index for each sample. See GetTrainingInputAnimMasks() and GetTrainingInputAnimMaskData().

• sample_bone_rotations (Array[float]): [Read-Write] The bone rotations in bone (local) space for this sample. This is updated after NextSample is called and is 6 floats per bone (2 columns of 3x3 rotation matrix).

• sample_curve_values (Array[float]): [Read-Write] The curve weights. This is updated after NextSample is called.

• sample_deltas (Array[float]): [Read-Write] The delta values per vertex for this sample. This is updated after NextSample is called. Contains an xyz (3 floats) for each vertex.

generate_bone_group_indices() → Array[int32]

Generate Bone Group Indices

Return type:

Array[int32]

generate_curve_group_indices() → Array[int32]

Generate Curve Group Indices

Return type:

Array[int32]

get_morph_target_masks() → Array[float]

Get Morph Target Masks

Return type:

Array[float]

get_num_bone_groups() → int32

Get Num Bone Groups

Return type:

int32

get_num_curve_groups() → int32

Get Num Curve Groups

Return type:

int32

train() → int32

Main training function, with implementation in python. You need to implement this method. See the UMLDeformerTrainingModel documentation for more details. see: UMLDeformerTrainingModel

Return type:

int32