Operator Reference

HALCON Operator Reference / Classification / Neural Nets

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clear_class_mlpT_clear_class_mlpClearClassMlpClearClassMlpclear_class_mlp (Operator)

clear_class_mlpT_clear_class_mlpClearClassMlpClearClassMlpclear_class_mlp — Clear a multilayer perceptron.

Signature

clear_class_mlp( : : MLPHandle : )

Herror T_clear_class_mlp(const Htuple MLPHandle)

void ClearClassMlp(const HTuple& MLPHandle)

static void HClassMlp::ClearClassMlp(const HClassMlpArray& MLPHandle)

void HClassMlp::ClearClassMlp() const

static void HOperatorSet.ClearClassMlp(HTuple MLPHandle)

static void HClassMlp.ClearClassMlp(HClassMlp[] MLPHandle)

void HClassMlp.ClearClassMlp()

def clear_class_mlp(mlphandle: MaybeSequence[HHandle]) -> None

Description

clear_class_mlpclear_class_mlpClearClassMlpClearClassMlpclear_class_mlp clears the multilayer perceptron (MLP) given by MLPHandleMLPHandleMLPHandleMLPHandlemlphandle and frees all memory required for the MLP. After calling clear_class_mlpclear_class_mlpClearClassMlpClearClassMlpclear_class_mlp, the MLP can no longer be used. The handle MLPHandleMLPHandleMLPHandleMLPHandlemlphandle becomes invalid.

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 modifies the state of the following input parameter:

• MLPHandleMLPHandleMLPHandleMLPHandlemlphandle

During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.

Parameters

MLPHandleMLPHandleMLPHandleMLPHandlemlphandle (input_control, state is modified)  class_mlp(-array) → HClassMlp, HTupleMaybeSequence[HHandle]HTupleHtuple (handle) (IntPtr) (HHandle) (handle)

MLP handle.

Result

If MLPHandleMLPHandleMLPHandleMLPHandlemlphandle is valid, the operator clear_class_mlpclear_class_mlpClearClassMlpClearClassMlpclear_class_mlp returns the value 2 ( H_MSG_TRUE) . If necessary, an exception is raised.

Possible Predecessors

classify_class_mlpclassify_class_mlpClassifyClassMlpClassifyClassMlpclassify_class_mlp, evaluate_class_mlpevaluate_class_mlpEvaluateClassMlpEvaluateClassMlpevaluate_class_mlp

See also

create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpcreate_class_mlp, read_class_mlpread_class_mlpReadClassMlpReadClassMlpread_class_mlp, write_class_mlpwrite_class_mlpWriteClassMlpWriteClassMlpwrite_class_mlp, train_class_mlptrain_class_mlpTrainClassMlpTrainClassMlptrain_class_mlp

Module

Foundation

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ClassesClasses | | Operators