Operator Reference

HALCON Operator Reference / Classification / Neural Nets

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read_class_mlpT_read_class_mlpReadClassMlpReadClassMlpread_class_mlp (Operator)

read_class_mlpT_read_class_mlpReadClassMlpReadClassMlpread_class_mlp — Read a multilayer perceptron from a file.

Signature

read_class_mlp( : : FileName : MLPHandle)

Herror T_read_class_mlp(const Htuple FileName, Htuple* MLPHandle)

void ReadClassMlp(const HTuple& FileName, HTuple* MLPHandle)

void HClassMlp::HClassMlp(const HString& FileName)

void HClassMlp::HClassMlp(const char* FileName)

void HClassMlp::HClassMlp(const wchar_t* FileName)   ( Windows only)

void HClassMlp::ReadClassMlp(const HString& FileName)

void HClassMlp::ReadClassMlp(const char* FileName)

void HClassMlp::ReadClassMlp(const wchar_t* FileName)   ( Windows only)

static void HOperatorSet.ReadClassMlp(HTuple fileName, out HTuple MLPHandle)

public HClassMlp(string fileName)

void HClassMlp.ReadClassMlp(string fileName)

def read_class_mlp(file_name: str) -> HHandle

Description

read_class_mlpread_class_mlpReadClassMlpReadClassMlpread_class_mlp reads a multilayer perceptron (MLP) that has been stored with write_class_mlpwrite_class_mlpWriteClassMlpWriteClassMlpwrite_class_mlp. Since the training of an MLP can consume a relatively long time, the MLP is typically trained in an offline process and written to a file with write_class_mlpwrite_class_mlpWriteClassMlpWriteClassMlpwrite_class_mlp. In the online process the MLP is read with read_class_mlpread_class_mlpReadClassMlpReadClassMlpread_class_mlp and subsequently used for evaluation with evaluate_class_mlpevaluate_class_mlpEvaluateClassMlpEvaluateClassMlpevaluate_class_mlp or for classification with classify_class_mlpclassify_class_mlpClassifyClassMlpClassifyClassMlpclassify_class_mlp. The default HALCON file extension for the MLP classifier is 'gmc'.

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

FileNameFileNameFileNamefileNamefile_name (input_control)  filename.read → HTuplestrHTupleHtuple (string) (string) (HString) (char*)

File name.

File extension: .gmc

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

MLP handle.

Result

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

Possible Successors

classify_class_mlpclassify_class_mlpClassifyClassMlpClassifyClassMlpclassify_class_mlp, evaluate_class_mlpevaluate_class_mlpEvaluateClassMlpEvaluateClassMlpevaluate_class_mlp, create_class_lut_mlpcreate_class_lut_mlpCreateClassLutMlpCreateClassLutMlpcreate_class_lut_mlp

Alternatives

read_dl_classifierread_dl_classifierReadDlClassifierReadDlClassifierread_dl_classifier

See also

create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpcreate_class_mlp, write_class_mlpwrite_class_mlpWriteClassMlpWriteClassMlpwrite_class_mlp

Module

Foundation

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ClassesClasses | | Operators