Operator Reference

HALCON Operator Reference / Classification / Support Vector Machines

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clear_samples_class_svmT_clear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm (Operator)

clear_samples_class_svmT_clear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm — Clear the training data of a support vector machine.

Signature

clear_samples_class_svm( : : SVMHandle : )

Herror T_clear_samples_class_svm(const Htuple SVMHandle)

void ClearSamplesClassSvm(const HTuple& SVMHandle)

static void HClassSvm::ClearSamplesClassSvm(const HClassSvmArray& SVMHandle)

void HClassSvm::ClearSamplesClassSvm() const

static void HOperatorSet.ClearSamplesClassSvm(HTuple SVMHandle)

static void HClassSvm.ClearSamplesClassSvm(HClassSvm[] SVMHandle)

void HClassSvm.ClearSamplesClassSvm()

def clear_samples_class_svm(svmhandle: MaybeSequence[HHandle]) -> None

Description

clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm clears all training samples that have been added to the support vector machine (SVM) SVMHandleSVMHandleSVMHandleSVMHandlesvmhandle with add_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvmadd_sample_class_svm or read_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvmread_samples_class_svm. clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm should only be used if the SVM is trained in the same process that uses the SVM for classification with classify_class_svmclassify_class_svmClassifyClassSvmClassifyClassSvmclassify_class_svm. In this case, the memory required for the training samples can be freed with clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm, and hence memory can be saved. In the normal usage, in which the SVM is trained offline and written to a file with write_class_svmwrite_class_svmWriteClassSvmWriteClassSvmwrite_class_svm, it is typically unnecessary to call clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm because write_class_svmwrite_class_svmWriteClassSvmWriteClassSvmwrite_class_svm does not save the training samples, and hence the online process, which reads the SVM with read_class_svmread_class_svmReadClassSvmReadClassSvmread_class_svm, requires no memory for the training samples.

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:

• SVMHandleSVMHandleSVMHandleSVMHandlesvmhandle

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

Parameters

SVMHandleSVMHandleSVMHandleSVMHandlesvmhandle (input_control, state is modified)  class_svm(-array) → HClassSvm, HTupleMaybeSequence[HHandle]HTupleHtuple (handle) (IntPtr) (HHandle) (handle)

SVM handle.

Result

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

Possible Predecessors

train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmtrain_class_svm, write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svm

See also

create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmcreate_class_svm, clear_class_svmclear_class_svmClearClassSvmClearClassSvmclear_class_svm, add_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvmadd_sample_class_svm, read_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvmread_samples_class_svm

Module

Foundation

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