write_dl_modelT_write_dl_modelWriteDlModelWriteDlModelwrite_dl_model (算子)

名称

write_dl_modelT_write_dl_modelWriteDlModelWriteDlModelwrite_dl_model — 在文件中写入一个深度学习模型。

签名

write_dl_model( : : DLModelHandle, FileName : )

描述

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.

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 → (handle)

Handle of the deep learning model.

FileNameFileNameFileNameFileNamefileNamefile_name (输入控制) filename.write → (string)

Filename

File extension: .hdl

结果

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.

可能的前趋

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

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：
3D计量学、光学字符识别/光学字符验证、匹配、深度学习推理

算子