read_samples_class_gmmT_read_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmmread_samples_class_gmm (算子)
名称
read_samples_class_gmmT_read_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmmread_samples_class_gmm — 从文件中读取高斯混合模型的训练数据。
签名
描述
read_samples_class_gmmread_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmmReadSamplesClassGmmread_samples_class_gmm reads training samples from the file
given by FileNameFileNameFileNameFileNamefileNamefile_name and adds them to the training samples
that have already been stored in the Gaussian Mixture Model (GMM)
given by GMMHandleGMMHandleGMMHandleGMMHandleGMMHandlegmmhandle. The GMM must be created with
create_class_gmmcreate_class_gmmCreateClassGmmCreateClassGmmCreateClassGmmcreate_class_gmm before calling
read_samples_class_gmmread_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmmReadSamplesClassGmmread_samples_class_gmm. As described with
train_class_gmmtrain_class_gmmTrainClassGmmTrainClassGmmTrainClassGmmtrain_class_gmm and write_samples_class_gmmwrite_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmmWriteSamplesClassGmmwrite_samples_class_gmm,
read_samples_class_gmmread_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmmReadSamplesClassGmmread_samples_class_gmm, add_sample_class_gmmadd_sample_class_gmmAddSampleClassGmmAddSampleClassGmmAddSampleClassGmmadd_sample_class_gmm, and
write_samples_class_gmmwrite_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmmWriteSamplesClassGmmwrite_samples_class_gmm can be used to build up a database
of training samples, and hence to improve the performance of the GMM
by retraining the GMM with extended data sets.
It should be noted that the training samples must have the correct
dimensionality. The feature vectors stored in FileNameFileNameFileNameFileNamefileNamefile_name
must have the lengths NumDimNumDimNumDimNumDimnumDimnum_dim that was specified with
create_class_gmmcreate_class_gmmCreateClassGmmCreateClassGmmCreateClassGmmcreate_class_gmm, and enough classes must have been created
in create_class_gmmcreate_class_gmmCreateClassGmmCreateClassGmmCreateClassGmmcreate_class_gmm。If this is not the case, an error
message is returned.
It is possible to read files of samples that were written with
write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svm or write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp。
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。
此算子修改后续输入参数的状态：
在执行此算子时，若该参数值需在多个线程间使用，则必须对其访问进行同步。
参数
GMMHandleGMMHandleGMMHandleGMMHandleGMMHandlegmmhandle (输入控制，状态被修改) class_gmm → HClassGmm, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
GMM 句柄。
FileNameFileNameFileNameFileNamefileNamefile_name (输入控制) filename.read → HTuplestrHTupleHtuple (string) (string) (HString) (char*)
File name.
结果
如果参数有效，算子
read_samples_class_gmmread_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmmReadSamplesClassGmmread_samples_class_gmm 返回值 2 ( H_MSG_TRUE )。如有必要，则抛出异常。
可能的前趋
create_class_gmmcreate_class_gmmCreateClassGmmCreateClassGmmCreateClassGmmcreate_class_gmm
可能的后继
train_class_gmmtrain_class_gmmTrainClassGmmTrainClassGmmTrainClassGmmtrain_class_gmm
替代
add_sample_class_gmmadd_sample_class_gmmAddSampleClassGmmAddSampleClassGmmAddSampleClassGmmadd_sample_class_gmm
另见
write_samples_class_gmmwrite_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmmWriteSamplesClassGmmwrite_samples_class_gmm,
write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp,
clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmmClearSamplesClassGmmclear_samples_class_gmm
模块
基础