serialize_dl_modelT_serialize_dl_modelSerializeDlModelSerializeDlModelserialize_dl_model (算子)
名称
serialize_dl_modelT_serialize_dl_modelSerializeDlModelSerializeDlModelserialize_dl_model — 序列化深度学习模型。
签名
描述
serialize_dl_modelserialize_dl_modelSerializeDlModelSerializeDlModelSerializeDlModelserialize_dl_model serializes the deep learning model
defined by the handle DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle.
The serialized model is returned by the handle
SerializedItemHandleSerializedItemHandleSerializedItemHandleSerializedItemHandleserializedItemHandleserialized_item_handle and can be deserialized by
deserialize_dl_modeldeserialize_dl_modelDeserializeDlModelDeserializeDlModelDeserializeDlModeldeserialize_dl_model。See fwrite_serialized_itemfwrite_serialized_itemFwriteSerializedItemFwriteSerializedItemFwriteSerializedItemfwrite_serialized_item for an introduction of the basic
principle of serialization.
The operator acts the same as write_dl_modelwrite_dl_modelWriteDlModelWriteDlModelWriteDlModelwrite_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_modelWriteDlModelWriteDlModelWriteDlModelwrite_dl_model。
For further explanations to deep learning models in HALCON,
see the chapter 深度学习 / 模型。
执行信息
- 多线程类型：可重入（与非独占算子并行运行）。
- 多线程作用域：全局（可从任何线程调用）。
- 未采用并行化处理。
参数
DLModelHandleDLModelHandleDLModelHandleDLModelHandleDLModelHandledlmodel_handle (输入控制) dl_model → HDlModel, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
深度学习模型的句柄。
SerializedItemHandleSerializedItemHandleSerializedItemHandleSerializedItemHandleserializedItemHandleserialized_item_handle (输出控制) serialized_item → HSerializedItem, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Handle of the serialized item.
结果
如果参数有效，算子 serialize_dl_modelserialize_dl_modelSerializeDlModelSerializeDlModelSerializeDlModelserialize_dl_model 返回值 2 ( H_MSG_TRUE )。如有必要，则抛出异常。
可能的前趋
train_dl_model_batchtrain_dl_model_batchTrainDlModelBatchTrainDlModelBatchTrainDlModelBatchtrain_dl_model_batch,
train_dl_model_anomaly_datasettrain_dl_model_anomaly_datasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasettrain_dl_model_anomaly_dataset
可能的后继
train_dl_model_batchtrain_dl_model_batchTrainDlModelBatchTrainDlModelBatchTrainDlModelBatchtrain_dl_model_batch,
train_dl_model_anomaly_datasettrain_dl_model_anomaly_datasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasetTrainDlModelAnomalyDatasettrain_dl_model_anomaly_dataset,
fwrite_serialized_itemfwrite_serialized_itemFwriteSerializedItemFwriteSerializedItemFwriteSerializedItemfwrite_serialized_item,
send_serialized_itemsend_serialized_itemSendSerializedItemSendSerializedItemSendSerializedItemsend_serialized_item
另见
deserialize_dl_modeldeserialize_dl_modelDeserializeDlModelDeserializeDlModelDeserializeDlModeldeserialize_dl_model,
apply_dl_modelapply_dl_modelApplyDlModelApplyDlModelApplyDlModelapply_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
模块
基础。该算子采用动态许可机制（详见《安装指南》）。所需模块取决于算子的具体使用场景：
三维计量学、光学字符识别/光学字符验证、匹配、深度学习推理