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deserialize_dl_modelDeserializeDlModelDeserializeDlModeldeserialize_dl_modelT_deserialize_dl_model🔗

Short description🔗

deserialize_dl_modelDeserializeDlModelDeserializeDlModeldeserialize_dl_modelT_deserialize_dl_model — Deserialize a deep learning model.

Signature🔗

deserialize_dl_model( serialized_item SerializedItemHandle, out dl_model DLModelHandle )void DeserializeDlModel( const HTuple& SerializedItemHandle, HTuple* DLModelHandle )static void HOperatorSet.DeserializeDlModel( HTuple serializedItemHandle, out HTuple DLModelHandle )def deserialize_dl_model( serialized_item_handle: HHandle ) -> HHandle

Herror T_deserialize_dl_model( const Htuple SerializedItemHandle, Htuple* DLModelHandle )

void HDlModel::DeserializeDlModel( const HSerializedItem& SerializedItemHandle )

void HDlModel.DeserializeDlModel( HSerializedItem serializedItemHandle )

Description🔗

deserialize_dl_modelDeserializeDlModel deserializes the deep learning model defined by the handle SerializedItemHandleserializedItemHandleserialized_item_handle and previously serialized by serialize_dl_modelSerializeDlModel.

The operator acts the same as read_dl_modelReadDlModel except that the input is a serialized item instead of a file. For a detailed description please refer to the documentation of read_dl_modelReadDlModel.

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

Execution information🔗

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🔗

SerializedItemHandleserializedItemHandleserialized_item_handle (input_control) serialized_item → (handle)HTuple (HHandle)HSerializedItem, HTuple (IntPtr)HHandleHtuple (handle)

Handle of the serialized item.

DLModelHandleDLModelHandledlmodel_handle (output_control) dl_model → (handle)HTuple (HHandle)HDlModel, HTuple (IntPtr)HHandleHtuple (handle)

Handle of the deep learning model.

Result🔗

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

Combinations with other operators🔗

Combinations

Possible predecessors

fread_serialized_itemFreadSerializedItem, receive_serialized_itemReceiveSerializedItem, serialize_dl_modelSerializeDlModel

Possible successors

apply_dl_modelApplyDlModel, train_dl_model_batchTrainDlModelBatch, train_dl_model_anomaly_datasetTrainDlModelAnomalyDataset, set_dl_model_paramSetDlModelParam, get_dl_model_paramGetDlModelParam

See also

serialize_dl_modelSerializeDlModel

Module🔗

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 Enhanced, Deep Learning Professional, Matching