Operator Reference

HALCON Operator Reference / Classification / Neural Nets

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get_class_train_data_mlpT_get_class_train_data_mlpGetClassTrainDataMlpGetClassTrainDataMlpget_class_train_data_mlp (Operator)

get_class_train_data_mlpT_get_class_train_data_mlpGetClassTrainDataMlpGetClassTrainDataMlpget_class_train_data_mlp — Get the training data of a multilayer perceptron (MLP).

Signature

get_class_train_data_mlp( : : MLPHandle : ClassTrainDataHandle)

Herror T_get_class_train_data_mlp(const Htuple MLPHandle, Htuple* ClassTrainDataHandle)

void GetClassTrainDataMlp(const HTuple& MLPHandle, HTuple* ClassTrainDataHandle)

HClassTrainData HClassMlp::GetClassTrainDataMlp() const

void HClassTrainData::GetClassTrainDataMlp(const HClassMlp& MLPHandle)

static void HOperatorSet.GetClassTrainDataMlp(HTuple MLPHandle, out HTuple classTrainDataHandle)

HClassTrainData HClassMlp.GetClassTrainDataMlp()

void HClassTrainData.GetClassTrainDataMlp(HClassMlp MLPHandle)

def get_class_train_data_mlp(mlphandle: HHandle) -> HHandle

Description

get_class_train_data_mlpget_class_train_data_mlpGetClassTrainDataMlpGetClassTrainDataMlpget_class_train_data_mlp gets the training data of a multilayer perceptron (MLP) and returns it in ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle.

Execution Information

• Multithreading type: reentrant (runs in parallel with non-exclusive operators).
• Multithreading scope: global (may be called from any thread).
• Processed without parallelization.

This operator returns a handle. Note that the state of an instance of this handle type may be changed by specific operators even though the handle is used as an input parameter by those operators.

Parameters

MLPHandleMLPHandleMLPHandleMLPHandlemlphandle (input_control)  class_mlp → HClassMlp, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Handle of a MLP that contains training data.

ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle (output_control)  class_train_data → HClassTrainData, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Handle of the training data of the classifier.

Result

If the parameters are valid, the operator get_class_train_data_mlpget_class_train_data_mlpGetClassTrainDataMlpGetClassTrainDataMlpget_class_train_data_mlp returns the value 2 ( H_MSG_TRUE) . If necessary, an exception is raised.

Possible Predecessors

add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlpadd_sample_class_mlp, read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp

Possible Successors

add_class_train_data_svmadd_class_train_data_svmAddClassTrainDataSvmAddClassTrainDataSvmadd_class_train_data_svm, add_class_train_data_gmmadd_class_train_data_gmmAddClassTrainDataGmmAddClassTrainDataGmmadd_class_train_data_gmm, add_class_train_data_knnadd_class_train_data_knnAddClassTrainDataKnnAddClassTrainDataKnnadd_class_train_data_knn

See also

create_class_train_datacreate_class_train_dataCreateClassTrainDataCreateClassTrainDatacreate_class_train_data

Module

Foundation

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ClassesClasses | | Operators