serialize_dl_modelT_serialize_dl_modelSerializeDlModelSerializeDlModelserialize_dl_model (Operator)
Name
serialize_dl_modelT_serialize_dl_modelSerializeDlModelSerializeDlModelserialize_dl_model — Serialize a deep learning model.
Signature
Description
serialize_dl_modelserialize_dl_modelSerializeDlModelSerializeDlModelserialize_dl_model serializes the deep learning model
defined by the handle DLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle.
The serialized model is returned by the handle
SerializedItemHandleSerializedItemHandleSerializedItemHandleserializedItemHandleserialized_item_handle and can be deserialized by
deserialize_dl_modeldeserialize_dl_modelDeserializeDlModelDeserializeDlModeldeserialize_dl_model.
See fwrite_serialized_itemfwrite_serialized_itemFwriteSerializedItemFwriteSerializedItemfwrite_serialized_item for an introduction of the basic
principle of serialization.
The operator acts the same as write_dl_modelwrite_dl_modelWriteDlModelWriteDlModelwrite_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_modelwrite_dl_modelWriteDlModelWriteDlModelwrite_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
DLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle (input_control) dl_model → HDlModel, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Handle of the deep learning model.
SerializedItemHandleSerializedItemHandleSerializedItemHandleserializedItemHandleserialized_item_handle (output_control) serialized_item → HSerializedItem, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Handle of the serialized item.
Result
If the parameters are valid, the operator serialize_dl_modelserialize_dl_modelSerializeDlModelSerializeDlModelserialize_dl_model
returns the value 2 (
H_MSG_TRUE)
. If necessary, an exception is raised.
Possible Predecessors
train_dl_model_batchtrain_dl_model_batchTrainDlModelBatchTrainDlModelBatchtrain_dl_model_batch,
train_dl_model_anomaly_datasettrain_dl_model_anomaly_datasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasettrain_dl_model_anomaly_dataset
Possible Successors
train_dl_model_batchtrain_dl_model_batchTrainDlModelBatchTrainDlModelBatchtrain_dl_model_batch,
train_dl_model_anomaly_datasettrain_dl_model_anomaly_datasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasettrain_dl_model_anomaly_dataset,
fwrite_serialized_itemfwrite_serialized_itemFwriteSerializedItemFwriteSerializedItemfwrite_serialized_item,
send_serialized_itemsend_serialized_itemSendSerializedItemSendSerializedItemsend_serialized_item
See also
deserialize_dl_modeldeserialize_dl_modelDeserializeDlModelDeserializeDlModeldeserialize_dl_model,
apply_dl_modelapply_dl_modelApplyDlModelApplyDlModelapply_dl_model,
train_dl_model_batchtrain_dl_model_batchTrainDlModelBatchTrainDlModelBatchtrain_dl_model_batch,
train_dl_model_anomaly_datasettrain_dl_model_anomaly_datasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasettrain_dl_model_anomaly_dataset
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, Matching, Deep Learning Inference