get_dl_classifier_paramT_get_dl_classifier_paramGetDlClassifierParamGetDlClassifierParamget_dl_classifier_param (算子名称)

名称

get_dl_classifier_paramT_get_dl_classifier_paramGetDlClassifierParamGetDlClassifierParamget_dl_classifier_param — Return the parameters of a deep-learning-based classifier.

警告

get_dl_classifier_paramget_dl_classifier_paramGetDlClassifierParamGetDlClassifierParamGetDlClassifierParamget_dl_classifier_param is obsolete and is only provided for reasons of backward compatibility. New applications should use common CNN-based operator get_dl_model_paramget_dl_model_paramGetDlModelParamGetDlModelParamGetDlModelParamget_dl_model_param instead.

参数签名

描述

get_dl_classifier_paramget_dl_classifier_paramGetDlClassifierParamGetDlClassifierParamGetDlClassifierParamget_dl_classifier_param returns the parameter values GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value of GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name of the neural network DLClassifierHandleDLClassifierHandleDLClassifierHandleDLClassifierHandleDLClassifierHandledlclassifier_handle.

The hyperparameters and network parameters can be set with 该算子 set_dl_classifier_paramset_dl_classifier_paramSetDlClassifierParamSetDlClassifierParamSetDlClassifierParamset_dl_classifier_param, in whose reference entry they are described in detail. With get_dl_classifier_paramget_dl_classifier_paramGetDlClassifierParamGetDlClassifierParamGetDlClassifierParamget_dl_classifier_param you can query all these values.

Additionally, there are parameters defined by the network which are read-only. These parameters are:

'image_range_min'"image_range_min""image_range_min""image_range_min""image_range_min""image_range_min":

Minimum gray value.

'image_range_max'"image_range_max""image_range_max""image_range_max""image_range_max""image_range_max":

Maximum gray value.

The precise values for these parameters and the default parameters for the image dimension depend on the concrete network, see read_dl_classifierread_dl_classifierReadDlClassifierReadDlClassifierReadDlClassifierread_dl_classifier.

Every image that is fed into the network must be present according to the parameters defining the image properties. To preprocess images accordingly, the procedure preprocess_dl_classifier_images is available.

For an explanation of the concept of deep-learning-based classification see the introduction of chapter Deep Learning / Classification. The workflow involving this legacy operator is described in the chapter Legacy / DL Classification.

运行信息

• 多线程类型:可重入(与非独占操作符并行运行)。
• 多线程作用域:全局(可以从任何线程调用)。
• 未经并行化处理。

参数表

结果

如果参数均有效，算子 get_dl_classifier_paramget_dl_classifier_paramGetDlClassifierParamGetDlClassifierParamGetDlClassifierParamget_dl_classifier_param 返回值 2 ( H_MSG_TRUE) . 如有必要，将引发异常。

可能的前置算子

read_dl_classifierread_dl_classifierReadDlClassifierReadDlClassifierReadDlClassifierread_dl_classifier, set_dl_classifier_paramset_dl_classifier_paramSetDlClassifierParamSetDlClassifierParamSetDlClassifierParamset_dl_classifier_param

可能的后置算子

train_dl_classifier_batchtrain_dl_classifier_batchTrainDlClassifierBatchTrainDlClassifierBatchTrainDlClassifierBatchtrain_dl_classifier_batch, apply_dl_classifierapply_dl_classifierApplyDlClassifierApplyDlClassifierApplyDlClassifierapply_dl_classifier

可替代算子

get_dl_model_paramget_dl_model_paramGetDlModelParamGetDlModelParamGetDlModelParamget_dl_model_param

参考其它

set_dl_classifier_paramset_dl_classifier_paramSetDlClassifierParamSetDlClassifierParamSetDlClassifierParamset_dl_classifier_param

模块

Deep Learning Inference

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