serialize_dl_modelπ
Short descriptionπ
serialize_dl_model β Serialize a deep learning model.
Signatureπ
serialize_dl_model( dl_model DLModelHandle, out serialized_item SerializedItemHandle )
Descriptionπ
serialize_dl_model serializes the deep learning model
defined by the handle DLModelHandle.
The serialized model is returned by the handle
SerializedItemHandle and can be deserialized by
deserialize_dl_model.
See fwrite_serialized_item for an introduction of the basic
principle of serialization.
The operator acts the same as write_dl_model except that the output
is a serialized item instead of a file.
For a detailed description please refer to the documentation of
write_dl_model.
For further explanations to deep learning models in HALCON, see the chapter Deep Learning / Model.
Execution informationπ
Execution information
-
Multithreading type: reentrant (runs in parallel with non-exclusive operators).
-
Multithreading scope: global (may be called from any thread).
-
Processed without parallelization.
Parametersπ
DLModelHandle (input_control) dl_model β (handle)
Handle of the deep learning model.
SerializedItemHandle (output_control) serialized_item β (handle)
Handle of the serialized item.
Resultπ
If the parameters are valid, the operator serialize_dl_model
returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.
Combinations with other operatorsπ
Combinations
Possible predecessors
train_dl_model_batch, train_dl_model_anomaly_dataset
Possible successors
train_dl_model_batch, train_dl_model_anomaly_dataset, fwrite_serialized_item, send_serialized_item
See also
deserialize_dl_model, apply_dl_model, train_dl_model_batch, train_dl_model_anomaly_dataset
Moduleπ
This operator uses dynamic licensing (see the βInstallation Guideβ). Which of the following modules is required depends on the specific usage of the operator:
3D Metrology, OCR/OCV, Deep Learning Enhanced, Deep Learning Professional, Matching