clear_dl_modelT_clear_dl_modelClearDlModelClearDlModel (Operator)

Name

clear_dl_modelT_clear_dl_modelClearDlModelClearDlModel — Clear a deep learning model.

Signature

clear_dl_model( : : DLModelHandle : )

Description

clear_dl_modelclear_dl_modelClearDlModelClearDlModelClearDlModel clears the handle of the deep learning model given by DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandle and frees all memory required for the model. After calling clear_dl_modelclear_dl_modelClearDlModelClearDlModelClearDlModel, the model can no longer be used and the handle DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandle becomes invalid.

For further explanations to deep learning models in HALCON, see the chapter Deep Learning / Model.

Execution Information

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

Parameters

DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandle (input_control) dl_model(-array) → (handle)

Handle of the deep learning model.

Result

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

Possible Predecessors

read_dl_modelread_dl_modelReadDlModelReadDlModelReadDlModel, apply_dl_modelapply_dl_modelApplyDlModelApplyDlModelApplyDlModel, train_dl_model_batchtrain_dl_model_batchTrainDlModelBatchTrainDlModelBatchTrainDlModelBatch, train_dl_model_anomaly_datasettrain_dl_model_anomaly_datasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDataset

Module

Deep Learning Inference

Operators