write_dl_modelT_write_dl_modelWriteDlModelWriteDlModel (Operator)

Name

write_dl_modelT_write_dl_modelWriteDlModelWriteDlModel — Write a deep learning model in a file.

Signature

write_dl_model( : : DLModelHandle, FileName : )

Description

write_dl_modelwrite_dl_modelWriteDlModelWriteDlModelWriteDlModel writes the deep learning model DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandle to the file given by FileNameFileNameFileNameFileNamefileName. Please note that the runtime specific parameter gpugpugpugpugpu is not written.

The default HALCON file extension for deep learning models is '.hdl'.

The model can be read with read_dl_modelread_dl_modelReadDlModelReadDlModelReadDlModel.

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 → (handle)

Handle of the deep learning model.

FileNameFileNameFileNameFileNamefileName (input_control) filename.write → (string)

Filename

File extension: .hdl

Result

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

Possible Predecessors

read_dl_modelread_dl_modelReadDlModelReadDlModelReadDlModel, train_dl_model_batchtrain_dl_model_batchTrainDlModelBatchTrainDlModelBatchTrainDlModelBatch, train_dl_model_anomaly_datasettrain_dl_model_anomaly_datasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDataset, set_dl_model_paramset_dl_model_paramSetDlModelParamSetDlModelParamSetDlModelParam

Module

Deep Learning Inference

Operators