本文整理汇总了C++中FeatureVectorPtr::ExampleFileName方法的典型用法代码示例。如果您正苦于以下问题:C++ FeatureVectorPtr::ExampleFileName方法的具体用法?C++ FeatureVectorPtr::ExampleFileName怎么用?C++ FeatureVectorPtr::ExampleFileName使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类FeatureVectorPtr
的用法示例。
在下文中一共展示了FeatureVectorPtr::ExampleFileName方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: Strip
void Strip ()
{
bool cancelFlag = false;
bool successful = false;
bool changesMade = false;
RunLog log;
FeatureFileIOPtr driver = FeatureFileIO::FileFormatFromStr ("C45");
MLClassList mlClasses;
FeatureVectorListPtr data =
driver->LoadFeatureFile ("D:\\Pices\\Reports\\FeatureDataFiles\\AllValidatedImages_ForJonathon\\AllValidatedDataNorm.data",
mlClasses,
-1,
cancelFlag,
successful,
changesMade,
log
);
FeatureVectorListPtr stripped = new FeatureVectorList (data->FileDesc (), false);
FeatureVectorList::const_iterator idx;
for (idx = data->begin (); idx != data->end (); ++idx)
{
FeatureVectorPtr fv = *idx;
KKStr fn = fv->ExampleFileName ();
if (fn.StartsWith ("SML") || (fn.StartsWith ("SMP")))
{
}
else
{
stripped->PushOnBack (fv);
}
}
kkuint32 numExamplesWritten = 90;
driver->SaveFeatureFile ("D:\\Pices\\Reports\\FeatureDataFiles\\AllValidatedImages_ForJonathon\\AllValidatedData1209.data",
data->AllFeatures (),
*stripped,
numExamplesWritten,
cancelFlag,
successful,
log
);
}
示例2: sizeof
void FeatureEncoder::EncodeIntoSparseMatrix
(FeatureVectorListPtr src,
ClassAssignments& assignments,
XSpacePtr& xSpace,
kkint32& totalxSpaceUsed,
struct svm_problem& prob,
RunLog& log
)
{
FeatureVectorListPtr compressedExamples = NULL;
FeatureVectorListPtr examplesToUseFoXSpace = NULL;
kkint32 xSpaceUsed = 0;
totalxSpaceUsed = 0;
examplesToUseFoXSpace = src;
kkint32 numOfExamples = examplesToUseFoXSpace->QueueSize ();
//kkint32 elements = numOfExamples * xSpaceNeededPerExample;
prob.l = numOfExamples;
prob.y = (double*)malloc (prob.l * sizeof (double));
prob.x = (struct svm_node **) malloc (prob.l * sizeof (struct svm_node*));
prob.index = new kkint32[prob.l];
prob.exampleNames.clear ();
kkint32 numNeededXspaceNodes = DetermineNumberOfNeededXspaceNodes (examplesToUseFoXSpace);
kkint32 totalBytesForxSpaceNeeded = (numNeededXspaceNodes + 10) * sizeof (struct svm_node); // I added '10' to elements because I am paranoid
xSpace = (struct svm_node*) malloc (totalBytesForxSpaceNeeded);
if (xSpace == NULL)
{
log.Level (-1) << endl << endl << endl
<< " FeatureEncoder::Compress *** Failed to allocates space for 'xSpace' ****" << endl
<< endl
<< " Space needed [" << totalBytesForxSpaceNeeded << "]" << endl
<< " Num of Examples [" << numOfExamples << "]" << endl
<< " Num XSpaceNodesNeeded [" << numNeededXspaceNodes << "]" << endl
<< endl;
// we sill have to allocate space for each individual training example separately.
//throw "FeatureEncoder::Compress Allocation of memory for xSpace Failed.";
}
prob.W = NULL;
kkint32 i = 0;
FeatureVectorPtr example = NULL;
MLClassPtr lastMlClass = NULL;
kkint16 lastClassNum = -1;
kkint32 bytesOfxSpacePerExample = xSpaceNeededPerExample * sizeof (struct svm_node);
for (i = 0; i < prob.l; i++)
{
if (totalxSpaceUsed > numNeededXspaceNodes)
{
log.Level (-1) << endl << endl
<< "FeatureEncoder::Compress ***ERROR*** We have exceeded the number of XSpace nodes allocated." << endl
<< endl;
}
example = examplesToUseFoXSpace->IdxToPtr (i);
if (example->MLClass () != lastMlClass)
{
lastMlClass = example->MLClass ();
lastClassNum = assignments.GetNumForClass (lastMlClass);
}
prob.y[i] = lastClassNum;
prob.index[i] = i;
prob.exampleNames.push_back (osGetRootName (example->ExampleFileName ()));
if (prob.W)
{
prob.W[i] = example->TrainWeight () * c_Param;
if (example->TrainWeight () <= 0.0f)
{
log.Level (-1) << endl
<< "FeatureEncoder::EncodeIntoSparseMatrix ***ERROR*** Example[" << example->ExampleFileName () << "]" << endl
<< " has a TrainWeight value of 0 or less defaulting to 1.0" << endl
<< endl;
prob.W[i] = 1.0 * c_Param;
}
}
if (xSpace == NULL)
{
struct svm_node* xSpaceThisExample = (struct svm_node*) malloc (bytesOfxSpacePerExample);
prob.x[i] = xSpaceThisExample;
EncodeAExample (example, prob.x[i], xSpaceUsed);
if (xSpaceUsed < xSpaceNeededPerExample)
{
kkint32 bytesNeededForThisExample = xSpaceUsed * sizeof (struct svm_node);
struct svm_node* smallerXSpaceThisExample = (struct svm_node*) malloc (bytesNeededForThisExample);
memcpy (smallerXSpaceThisExample, xSpaceThisExample, bytesNeededForThisExample);
free (xSpaceThisExample);
//.........这里部分代码省略.........
示例3: FeatureDataReSink
//.........这里部分代码省略.........
if (_useDirectoryNameForClassName)
{
if (origFV->MLClass () != _unknownClass)
{
_changesMade = true;
origFV->MLClass (_unknownClass);
}
}
else if ((origFV->MLClass ()->UnDefined ()) && (origFV->MLClass () != _unknownClass))
{
_changesMade = true;
origFV->MLClass (_unknownClass);
}
extractedFeatures->PushOnBack (origFV);
origFeatureData->DeleteEntry (origFV);
}
else
{
// We either DON'T have an original image or versions are not the same.
KKStr fullFileName = osAddSlash (_dirName) + (*imageFileName);
FeatureVectorPtr fv = NULL;
try
{
RasterPtr image = ReadImage (fullFileName);
if (image)
fv = fvProducer->ComputeFeatureVector (*image, _unknownClass, NULL, 1.0f, _log);
delete image;
image = NULL;
if (fv)
featureVectorCoputaionSuccessful = true;
else
featureVectorCoputaionSuccessful = false;
}
catch (...)
{
_log.Level (-1) << endl << endl
<< "FeatureDataReSink ***ERROR***" << endl
<< " Exception occurred calling constructor 'ComputeFeatureVector'." << endl
<< endl;
featureVectorCoputaionSuccessful = false;
fv = NULL;
}
if (!featureVectorCoputaionSuccessful)
{
_log.Level (-1) << " FeatureFileIOKK::FeatureDataReSink *** ERROR ***, Processing Image File["
<< imageFileName << "]."
<< endl;
delete fv;
fv = NULL;
}
else
{
_changesMade = true;
fv->ExampleFileName (*imageFileName);
_log.Level (30) << fv->ExampleFileName () << " " << fv->OrigSize () << endl;
extractedFeatures->PushOnBack (fv);
numOfNewFeatureExtractions++;
if ((numOfNewFeatureExtractions % 100) == 0)
cout << numOfNewFeatureExtractions << " Images Extracted." << endl;
}
}
}
if (numImagesFoundInOrigFeatureData != extractedFeatures->QueueSize ())
_changesMade = true;
extractedFeatures->Version (fvProducer->Version ());
if ((_changesMade) && (!_cancelFlag))
{
//extractedFeatures->WriteImageFeaturesToFile (fullFeatureFileName, RawFormat, FeatureNumList::AllFeatures (extractedFeatures->FileDesc ()));
kkuint32 numExamplesWritten = 0;
SaveFeatureFile (fullFeatureFileName,
FeatureNumList::AllFeatures (extractedFeatures->FileDesc ()),
*extractedFeatures,
numExamplesWritten,
_cancelFlag,
successful,
_log
);
_timeStamp = osGetLocalDateTime ();
}
delete fvProducer; fvProducer = NULL;
delete fileNameList; fileNameList = NULL;
delete origFeatureData; origFeatureData = NULL;
_log.Level (10) << "FeatureDataReSink Exiting Dir: " << _dirName << endl;
return extractedFeatures;
} /* FeatureDataReSink */