int RandomSampleJobList::DetermineCompressedImageCount (FeatureVectorListPtr trainData,
TrainingConfigurationPtr config
)
{
FileDescPtr fileDesc = trainData->FileDesc ();
FeatureVectorListPtr srcImages = trainData->DuplicateListAndContents ();
FeatureVectorListPtr imagesToTrain = new FeatureVectorList (fileDesc, false, log, 10000);
MLClassListPtr mlClasses = srcImages->ExtractListOfClasses ();
{
MLClassList::const_iterator idx;
for (idx = mlClasses->begin (); idx != mlClasses->end (); idx++)
{
MLClassPtr mlClass = *idx;
FeatureVectorListPtr imagesThisClass = srcImages->ExtractImagesForAGivenClass (mlClass);
imagesToTrain->AddQueue (*imagesThisClass);
delete imagesThisClass;
}
}
NormalizationParms normParms (config, *imagesToTrain, log);
normParms.NormalizeImages (imagesToTrain);
ClassAssignments classAssignments (*mlClasses, log);
FeatureVectorListPtr compressedImageList = new FeatureVectorList (fileDesc, true, log, 10000);
BitReduction br (config->SVMparamREF (), fileDesc, trainData->AllFeatures ());
CompressionStats compressionStats
= br.compress (*imagesToTrain,
compressedImageList,
classAssignments
);
int compressedImageCount = compressionStats.num_images_after;
log.Level (10) << "DetermineCompressedImageCount compressedImageCount[" << compressedImageCount << "]" << endl;
delete compressedImageList; compressedImageList = NULL;
delete mlClasses; mlClasses = NULL;
delete imagesToTrain; imagesToTrain = NULL;
delete srcImages; srcImages = NULL;
return compressedImageCount;
} /* DetermineCompressedImageCount */
