write_dl_modelT_write_dl_modelWriteDlModelWriteDlModelwrite_dl_model (Operator)
Name
write_dl_modelT_write_dl_modelWriteDlModelWriteDlModelwrite_dl_model — Write a deep learning model in a file.
Signature
Description
write_dl_modelwrite_dl_modelWriteDlModelWriteDlModelWriteDlModelwrite_dl_model writes the deep learning model
DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle to the file given by FileNameFileNameFileNameFileNamefileNamefile_name.
Please note that the values of the runtime specific parameters 'gpu'"gpu""gpu""gpu""gpu""gpu",
'runtime'"runtime""runtime""runtime""runtime""runtime", and 'runtime_init'"runtime_init""runtime_init""runtime_init""runtime_init""runtime_init" are not written.
The default HALCON file extension for deep learning models is
'.hdl'.
The model can be read with read_dl_modelread_dl_modelReadDlModelReadDlModelReadDlModelread_dl_model.
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
DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle (input_control) dl_model → HDlModel, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Handle of the deep learning model.
FileNameFileNameFileNameFileNamefileNamefile_name (input_control) filename.write → HTuplestrHTupleHtuple (string) (string) (HString) (char*)
Filename
File extension: .hdl
Result
If the parameters are valid, the operator write_dl_modelwrite_dl_modelWriteDlModelWriteDlModelWriteDlModelwrite_dl_model
returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.
Possible Predecessors
read_dl_modelread_dl_modelReadDlModelReadDlModelReadDlModelread_dl_model,
train_dl_model_batchtrain_dl_model_batchTrainDlModelBatchTrainDlModelBatchTrainDlModelBatchtrain_dl_model_batch,
train_dl_model_anomaly_datasettrain_dl_model_anomaly_datasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasettrain_dl_model_anomaly_dataset,
set_dl_model_paramset_dl_model_paramSetDlModelParamSetDlModelParamSetDlModelParamset_dl_model_param
Module
Foundation. This operator uses dynamic licensing (see the ``Installation Guide''). Which of the following modules is required depends on the specific usage of the operator:
3D Metrology, OCR/OCV, Deep Learning Inference