read_samples_class_gmm — Read the training data of a Gaussian Mixture Model from a file.
read_samples_class_gmm reads training samples from the file
FileName and adds them to the training samples
that have already been stored in the Gaussian Mixture Model (GMM)
GMMHandle. The GMM must be created with
create_class_gmm before calling
read_samples_class_gmm. As described with
write_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
must have the lengths
NumDim that was specified with
create_class_gmm, and enough classes must have been created
create_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
This operator modifies the state of the following input parameter:
During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.
GMMHandle(input_control, state is modified) class_gmm
If the parameters are valid, the operator
read_samples_class_gmm returns the value TRUE. If necessary
an exception is raised.