Name
clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModel — Free the memory of the training data of a variation model.
clear_train_data_variation_model( : : ModelID : )
Herror clear_train_data_variation_model(const Hlong ModelID)
Herror T_clear_train_data_variation_model(const Htuple ModelID)
Herror clear_train_data_variation_model(const HTuple& ModelID)
void ClearTrainDataVariationModel(const HTuple& ModelID)
void HVariationModel::ClearTrainDataVariationModel() const
clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModel frees the memory of a
variation model that was created by create_variation_modelcreate_variation_modelCreateVariationModelcreate_variation_modelCreateVariationModelCreateVariationModel.
clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModel can be used to reduce the
amount of memory required for the variation model (in main memory as
well as when writing the model to file with
write_variation_modelwrite_variation_modelWriteVariationModelwrite_variation_modelWriteVariationModelWriteVariationModel).
clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModel can only be called if the
model has been prepared for comparison with an image with
prepare_variation_modelprepare_variation_modelPrepareVariationModelprepare_variation_modelPrepareVariationModelPrepareVariationModel. After the call to
clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModel the variation model can
only be used for image comparision with
compare_variation_modelcompare_variation_modelCompareVariationModelcompare_variation_modelCompareVariationModelCompareVariationModel or
compare_ext_variation_modelcompare_ext_variation_modelCompareExtVariationModelcompare_ext_variation_modelCompareExtVariationModelCompareExtVariationModel. The model cannot be trained
any further. Furthermore, the images used for the image comparison
can no longer be read with get_variation_modelget_variation_modelGetVariationModelget_variation_modelGetVariationModelGetVariationModel. If they are
required, get_variation_modelget_variation_modelGetVariationModelget_variation_modelGetVariationModelGetVariationModel must be called before
clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModel is called.
- Multithreading type: exclusive (runs in parallel only with independent operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
ID of the variation model.
clear_train_data_variation_modelclear_train_data_variation_modelClearTrainDataVariationModelclear_train_data_variation_modelClearTrainDataVariationModelClearTrainDataVariationModel returns 2 (H_MSG_TRUE) if all
parameters are correct.
prepare_variation_modelprepare_variation_modelPrepareVariationModelprepare_variation_modelPrepareVariationModelPrepareVariationModel
compare_variation_modelcompare_variation_modelCompareVariationModelcompare_variation_modelCompareVariationModelCompareVariationModel,
compare_ext_variation_modelcompare_ext_variation_modelCompareExtVariationModelcompare_ext_variation_modelCompareExtVariationModelCompareExtVariationModel,
write_variation_modelwrite_variation_modelWriteVariationModelwrite_variation_modelWriteVariationModelWriteVariationModel
Matching