clear_samples_class_gmmT_clear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmmclear_samples_class_gmm (算子)
名称
clear_samples_class_gmmT_clear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmmclear_samples_class_gmm — 清除高斯混合模型的训练数据。
签名
Herror T_clear_samples_class_gmm(const Htuple GMMHandle)
def clear_samples_class_gmm(gmmhandle: MaybeSequence[HHandle]) -> None
描述
clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmmClearSamplesClassGmmclear_samples_class_gmm clears all training samples that
have been stored in the Gaussian Mixture Model (GMM)
GMMHandleGMMHandleGMMHandleGMMHandleGMMHandlegmmhandle. clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmmClearSamplesClassGmmclear_samples_class_gmm should only be
used if the GMM is trained in the same process that uses the GMM for
evaluation with evaluate_class_gmmevaluate_class_gmmEvaluateClassGmmEvaluateClassGmmEvaluateClassGmmevaluate_class_gmm or for classification
with classify_class_gmmclassify_class_gmmClassifyClassGmmClassifyClassGmmClassifyClassGmmclassify_class_gmm。In this case, the memory required
for the training samples can be freed with
clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmmClearSamplesClassGmmclear_samples_class_gmm, and hence memory can be saved. In
the normal usage, in which the GMM is trained offline and written to
a file with write_class_gmmwrite_class_gmmWriteClassGmmWriteClassGmmWriteClassGmmwrite_class_gmm, it is typically unnecessary to
call clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmmClearSamplesClassGmmclear_samples_class_gmm because write_class_gmmwrite_class_gmmWriteClassGmmWriteClassGmmWriteClassGmmwrite_class_gmm
does not save the training samples, and hence the online process,
which reads the GMM with read_class_gmmread_class_gmmReadClassGmmReadClassGmmReadClassGmmread_class_gmm, requires no memory
for the training samples.
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(-array) → HClassGmm, HTupleMaybeSequence[HHandle]HTupleHtuple (handle) (IntPtr) (HHandle) (handle)
GMM 句柄。
结果
如果参数有效,算子
clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmmClearSamplesClassGmmclear_samples_class_gmm 返回值 2 ( H_MSG_TRUE )。如有必要,则抛出异常。
可能的前趋
train_class_gmmtrain_class_gmmTrainClassGmmTrainClassGmmTrainClassGmmtrain_class_gmm,
write_samples_class_gmmwrite_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmmWriteSamplesClassGmmwrite_samples_class_gmm
另见
create_class_gmmcreate_class_gmmCreateClassGmmCreateClassGmmCreateClassGmmcreate_class_gmm,
clear_class_gmmclear_class_gmmClearClassGmmClearClassGmmClearClassGmmclear_class_gmm,
add_sample_class_gmmadd_sample_class_gmmAddSampleClassGmmAddSampleClassGmmAddSampleClassGmmadd_sample_class_gmm,
read_samples_class_gmmread_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmmReadSamplesClassGmmread_samples_class_gmm
模块
基础