/**@brief A function to start a runLog in the named directory
* @param dirName The name of the directory to start the runLog, runLog name
*will be runLog_[NAME_OF_PROGRAM]
*
*/
void startARunLog(const std::string &dirName) {
rLog_.setFilenameAndOpen(
files::make_path(dirName,"runLog_"
+ replaceString(replaceString(commands_.getProgramName(), "./", ""),
" ", "-")+ "_" + getCurrentDate() + ".txt").string(), timer_.start_);
rLog_.startRunLog(commands_);
}
void FeatureFileIO::SaveFeatureFile (const KKStr& _fileName,
FeatureNumListConst& _selFeatures,
FeatureVectorList& _examples,
kkuint32& _numExamplesWritten,
VolConstBool& _cancelFlag,
bool& _successful,
RunLog& _log
)
{
_log.Level (10) << "FeatureFileIO::SaveFeatureFile - File[" << _fileName << "]." << endl;
ofstream out (_fileName.Str ());
if (!out.is_open())
{
_log.Level (-1) << "***ERROR***, SaveFeatureFile, Opening File[" << _fileName << "]" << endl;
_successful = false;
}
out.precision (9);
KKStr errorMessage;
SaveFile (_examples, _fileName, _selFeatures, out, _numExamplesWritten, _cancelFlag, _successful, errorMessage, _log);
out.close ();
} /* SaveFeatureFile */
void ModelUsfCasCor::ProbabilitiesByClass (FeatureVectorPtr _example,
const MLClassList& _mlClasses,
double* _probabilities,
RunLog& _log
)
{
if (!usfCasCorClassifier)
{
KKStr errMsg = "ModelUsfCasCor::ProbabilitiesByClass ***ERROR*** (usfCasCorClassifier == NULL)";
_log.Level (-1) << endl << endl << errMsg << endl << endl;
throw KKException (errMsg);
}
VectorFloat probabilities;
MLClassPtr pc1 = NULL;
MLClassPtr pc2 = NULL;
MLClassPtr kc = NULL;
float pc1p = 0.0f;
float pc2p = 0.0f;
float kcp = 0.0f;
bool newExampleCreated = false;
FeatureVectorPtr encodedExample = PrepExampleForPrediction (_example, newExampleCreated);
usfCasCorClassifier->PredictConfidences (encodedExample,
kc,
pc1, pc1p,
pc2, pc2p,
kcp,
_mlClasses,
probabilities
);
if (newExampleCreated)
{
delete encodedExample;
encodedExample = NULL;
}
if (_mlClasses.size () != probabilities.size ())
{
_log.Level (-1) << endl << "ModelUsfCasCor::ProbabilitiesByClass ***ERROR***" << endl
<< "\"_mlClasses.size () != probabilities.size ()\" This should not ever be able to happen." << endl
<< endl;
for (int x = 0; x < _mlClasses.QueueSize (); ++x)
{
_probabilities[x] = 0.0;
}
}
else
{
for (kkuint32 x = 0; x < probabilities.size (); ++x)
_probabilities[x] = probabilities[x];
}
return;
} /* ProbabilitiesByClass */
FeatureVectorListPtr FeatureFileIO::LoadFeatureFile
(const KKStr& _fileName,
MLClassList& _mlClasses,
OptionUInt32 _maxCount,
VolConstBool& _cancelFlag, // will be monitored, if set to True Load will terminate.
bool& _successful,
bool& _changesMade,
RunLog& _log
)
{
_log.Level (10) << "LoadFeatureFile File[" << _fileName << "] FileFormat[" << driverName << "]" << endl;
_changesMade = false;
kkint32 estimatedNumOfDataItems = -1;
_successful = true;
ifstream in (_fileName.Str (), ios_base::in);
if (!in.is_open ())
{
_log.Level (-1) << "LoadFeatureFile ***ERROR*** Error Opening File[" << _fileName << "]." << endl;
_successful = false;
return NULL;
}
KKStr errorMessage;
FileDescConstPtr fileDescFromFile = GetFileDesc (_fileName, in, &_mlClasses, estimatedNumOfDataItems, errorMessage, _log);
if (fileDescFromFile == NULL)
{
_log.Level (-1) << endl << endl
<< "FeatureFileIO::LoadFeatureFile ***ERROR*** Loading Feature File[" << _fileName << "]" << endl
<< endl;
_successful = false;
return NULL;
}
FileDescConstPtr fileDesc = FileDesc::GetExistingFileDesc (fileDescFromFile);
in.clear ();
in.seekg (0, ios::beg);
FeatureVectorListPtr examples = LoadFile (_fileName, fileDesc, _mlClasses, in, _maxCount, _cancelFlag, _changesMade, errorMessage, _log);
if (examples == NULL)
{
_successful = false;
}
else
{
_successful = true;
}
in.close ();
return examples;
} /* LoadFeatureFile */
ScannerFilePtr ScannerFile::CreateScannerFileForOutput (const KKStr& _fileName,
Format _format,
kkuint32 _pixelsPerScanLine,
kkuint32 _frameHeight,
RunLog& _log
)
{
ScannerFilePtr scannerFile = NULL;
if (osFileExists (_fileName))
{
KKStr errMsg;
errMsg << "ScannerFile::CreateScannerFileForOutput ***ERROR*** ScannerFile[" << _fileName << "] already exists.";
_log.Level (-1) << endl << endl << errMsg << endl << endl;
}
else
{
switch (_format)
{
case Format::sfSimple:
scannerFile = new ScannerFileSimple (_fileName, _pixelsPerScanLine, _frameHeight, _log);
break;
case Format::sf2BitEncoded:
scannerFile = new ScannerFile2BitEncoded (_fileName, _pixelsPerScanLine, _frameHeight, _log);
break;
case Format::sf3BitEncoded:
scannerFile = new ScannerFile3BitEncoded (_fileName, _pixelsPerScanLine, _frameHeight, _log);
break;
case Format::sf4BitEncoded:
scannerFile = new ScannerFile4BitEncoded (_fileName, _pixelsPerScanLine, _frameHeight, _log);
break;
case Format::sfZlib3BitEncoded:
scannerFile = new ScannerFileZLib3BitEncoded (_fileName, _pixelsPerScanLine, _frameHeight, _log);
break;
case Format::sfUnKnown:
scannerFile = NULL;
break;
}
if (!scannerFile)
{
KKStr errMsg;
errMsg << "ScannerFile::CreateScannerFileForOutput ***ERROR*** Invalid ScannerFile Format specified.";
_log.Level (-1) << endl << endl << errMsg << endl << endl;
}
}
return scannerFile;
} /* CreateScannerFileForOutput */
void FeatureFileIO::SaveFile (FeatureVectorList& _data,
const KKStr& _fileName,
FeatureNumListConst& _selFeatures,
std::ostream& _out,
kkuint32& _numExamplesWritten,
VolConstBool& _cancelFlag,
bool& _successful,
KKStr& _errorMessage,
RunLog& _log
)
{
_errorMessage = "Driver: '" + this->DriverName () + "' does not implement 'SaveFile' method.";
_log.Level (-1) << endl
<< "FeatureFileIO::SaveFile ***ERROR*** " << _errorMessage << endl
<< " _data.size : " << _data.size () << endl
<< " _fileName : " << _fileName << endl
<< " _selFeatures : " << _selFeatures.ToCommaDelStr () << endl
<< " _out.fail : " << _out.fail () << endl
<< " _cancelFlag : " << _cancelFlag << endl
<< endl;
_successful = false;
_numExamplesWritten = 0;
return;
}
FeatureVectorListPtr FeatureFileIO::LoadFile (const KKStr& _fileName,
FileDescConstPtr _fileDesc,
MLClassList& _classes,
istream& _in,
OptionUInt32 _maxCount, // Maximum # images to load.
VolConstBool& _cancelFlag,
bool& _changesMade,
KKStr& _errorMessage,
RunLog& _log
)
{
_errorMessage = "Driver '" + DriverName () + "' does not implemenet 'LoadFile' method.";
_log.Level (10) << endl
<< "FeatureFileIO::LoadFile ***ERROR*** " << _errorMessage << endl
<< " _fileName : " << _fileName << endl
<< " _fileDesc : " << _fileDesc->NumOfFields () << endl
<< " _classes : " << _classes.ToCommaDelimitedStr () << endl
<< " _in.flags : " << _in.flags () << endl
<< " _maxCount : " << _maxCount << endl
<< " _cancelFlag : " << _cancelFlag << endl
<< " _changesMade: " << _changesMade << endl
<< endl;
_errorMessage = "ROBERTS read functionality not implemented.";
return NULL;
}
void ScannerFile::GetScannerFileParameters (const KKStr& _scannerFileName,
ScannerHeaderFieldsPtr& _headerFields,
Format& _scannerFileFormat,
kkint32& _frameHeight,
kkint32& _frameWidth,
float& _scanRate,
bool& _successful,
RunLog& _log
)
{
_successful = false;
ScannerFilePtr sf = CreateScannerFile (_scannerFileName, _log);
if (sf == NULL)
{
_log.Level (-1) << "Could not determine scanner file format." << endl;
return;
}
delete _headerFields;
_headerFields = new ScannerHeaderFields (*(sf->HeaderFields ()));
_scannerFileFormat = sf->FileFormat ();
_frameHeight = sf->FrameHeight ();
_frameWidth = sf->PixelsPerScanLine ();
_scanRate = sf->ScanRate ();
_successful = true;
delete sf;
sf = NULL;
} /* GetScannerFileParameters */
ClassProbListPtr ModelUsfCasCor::ProbabilitiesByClass (FeatureVectorPtr example,
RunLog& log
)
{
if (!usfCasCorClassifier)
{
KKStr errMsg = "ModelUsfCasCor::ProbabilitiesByClass ***ERROR*** (usfCasCorClassifier == NULL)";
log.Level (-1) << endl << endl << errMsg << endl << endl;
throw KKException (errMsg);
}
bool newExampleCreated = false;
FeatureVectorPtr encodedExample = PrepExampleForPrediction (example, newExampleCreated);
ClassProbListPtr results = usfCasCorClassifier->PredictClassConfidences (encodedExample);
results->SortByProbability (true); // 'true' = Sort High to Low.
if (newExampleCreated)
{
delete encodedExample;
encodedExample = NULL;
}
return results;
} /* ProbabilitiesByClass */
ImageFeaturesPtr PicesFVProducer::ComputeFeatureVectorFromImage (const KKStr& fileName,
const MLClassPtr knownClass,
RasterListPtr intermediateImages,
RunLog& runLog
)
{
ImageFeaturesPtr fv = NULL;
bool validFile = false;
RasterSipperPtr i = new RasterSipper (fileName, validFile);
if (!validFile)
{
delete i;
i = NULL;
}
if (i == NULL)
{
runLog.Level (-1) << "PicesFVProducer::ComputeFeatureVectorFromImage ***ERROR*** Error loading ImageFile: " << fileName << endl << endl;
}
else
{
fv = ComputeFeatureVector (*i, knownClass, intermediateImages, 1.0f, runLog);
delete i;
i = NULL;
}
return fv;
} /* ComputeFeatureVectorFromImage */
void ModelUsfCasCor::Predict (FeatureVectorPtr example,
MLClassPtr knownClass,
MLClassPtr& predClass1,
MLClassPtr& predClass2,
kkint32& predClass1Votes,
kkint32& predClass2Votes,
double& probOfKnownClass,
double& predClass1Prob,
double& predClass2Prob,
kkint32& numOfWinners,
bool& knownClassOneOfTheWinners,
double& breakTie,
RunLog& log
)
{
if (!usfCasCorClassifier)
{
KKStr errMsg = "ModelUsfCasCor::Predict ***ERROR*** (usfCasCorClassifier == NULL)";
log.Level (-1) << endl << endl << errMsg << endl << endl;
throw KKException (errMsg);
}
VectorFloat probabilities;
float pc1p = 0.0f;
float pc2p = 0.0f;
float kcp = 0.0f;
bool newExampleCreated = false;
FeatureVectorPtr encodedExample = PrepExampleForPrediction (example, newExampleCreated);
usfCasCorClassifier->PredictConfidences (encodedExample,
knownClass,
predClass1, pc1p,
predClass2, pc2p,
kcp,
*classes,
probabilities
);
if (newExampleCreated)
{
delete encodedExample;
encodedExample = NULL;
}
predClass1Prob = pc1p;
predClass2Prob = pc2p;
probOfKnownClass = kcp;
breakTie = pc1p - pc2p;
numOfWinners = 1;
knownClassOneOfTheWinners = (predClass1 == knownClass);
return;
} /* Predict */
void CrossValidationMxN::CheckFileDescCopasetic (RunLog& log)
{
if (config->FileDesc () != orderings->FileDesc ())
{
// The Configuration 'fileDesc' is different than the orderings 'FileDesc'.
// This is a VERY VERY bad situation. Processing needs to stop NOW NOW NOW.
KKStr errMsg = "CrossValidationMxN ***ERROR*** File Description between config and orderings don't match.";
log.Level (-1) << endl << errMsg << endl << endl;
throw KKException (errMsg);
}
} /* CheckFileDescCopesetic */
void ReportError (RunLog& log,
const KKStr& fileName,
const KKStr& funcName,
kkint32 lineCount,
const KKStr& errorDesc
)
{
log.Level (-1) << endl
<< funcName << " *** ERROR ***" << endl
<< " File [" << fileName << "]" << endl
<< " LineCount[" << lineCount << "]" << endl
<< " Error [" << errorDesc << "]" << endl
<< endl;
} /* ReportError */
void FeatureFileIO::AppendToFile (const KKStr& _fileName,
FeatureNumListConst& _selFeatures,
FeatureVectorList& _examples,
kkuint32& _numExamplesWritten,
VolConstBool& _cancelFlag,
bool& _successful,
RunLog& _log
)
{
_log.Level (10) << "FeatureFileIO::AppendToFile - File[" << _fileName << "]." << endl;
_successful = true;
ofstream out (_fileName.Str (), ios::app);
if (!out.is_open())
{
KKStr err;
err << "AppendToFile Error Opening File[" << _fileName << "]";
_log.Level (-1) << endl
<< "FeatureFileIO::AppendToFile ***ERROR***" << endl
<< endl
<< " " << err << endl
<< endl;
osDisplayWarning (err);
_successful = false;
return;
}
KKStr errorMessage;
SaveFile (_examples, _fileName, _selFeatures, out, _numExamplesWritten, _cancelFlag, _successful, errorMessage, _log);
out.close ();
return;
} /* AppendToFile */
void ModelParamUsfCasCor::ReadXML (XmlStream& s,
XmlTagConstPtr tag,
VolConstBool& cancelFlag,
RunLog& log
)
{
XmlTokenPtr t = s.GetNextToken (cancelFlag, log);
while (t && (!cancelFlag))
{
t = ReadXMLModelParamToken (t);
if ((t != NULL) && (t->TokenType () == XmlToken::TokenTypes::tokElement))
{
XmlElementPtr e = dynamic_cast<XmlElementPtr> (t);
const KKStr& varName = e->VarName ();
if (varName.EqualIgnoreCase ("in_limit"))
in_limit = dynamic_cast<XmlElementInt32Ptr> (e)->Value ();
else if (varName.EqualIgnoreCase ("number_of_rounds"))
number_of_rounds = dynamic_cast<XmlElementInt32Ptr> (e)->Value ();
else if (varName.EqualIgnoreCase ("number_of_trials"))
number_of_trials = dynamic_cast<XmlElementInt32Ptr> (e)->Value ();
else if (varName.EqualIgnoreCase ("random_seed"))
random_seed = dynamic_cast<XmlElementInt64Ptr> (e)->Value ();
else if (varName.EqualIgnoreCase ("useCache"))
useCache = dynamic_cast<XmlElementBoolPtr> (e)->Value ();
else
{
log.Level (-1) << endl
<< "ModelParamUsfCasCor::ReadXM ***ERROR*** Unexpected Element: " << e->NameTag ()->ToString () << endl
<< endl;
}
}
delete t;
t = s.GetNextToken (cancelFlag, log);
}
delete t;
t = NULL;
bool validFormat = false;
} /* ReadXML */
FileDescConstPtr FeatureFileIO::GetFileDesc (const KKStr& _fileName,
istream& _in,
MLClassListPtr _classes,
kkint32& _estSize,
KKStr& _errorMessage,
RunLog& _log
)
{
_errorMessage = "Driver '" + DriverName () + "' does not implemenet 'GetFileDesc' method.";
_log.Level (10) << endl
<< "FeatureFileIO::GetFileDesc ***ERROR*** " << _errorMessage << endl
<< " _fileName: " << _fileName << endl
<< " _in.flags: " << _in.flags () << endl
<< " _classes : " << _classes->ToCommaDelimitedStr () << endl
<< " _estSize : " << _estSize << endl
<< endl;
_errorMessage = "ROBERTS read_estSize, functionality not implemented.";
return NULL;
}
ImageFeaturesPtr PicesFVProducer::ComputeFeatureVector (const Raster& srcImage,
const MLClassPtr knownClass,
RasterListPtr intermediateImages,
float priorReductionFactor,
RunLog& runLog
)
{
ImageFeaturesPtr fv = NULL;
RasterSipperListPtr sipperRasterIntermediateImages = NULL;
if (intermediateImages)
sipperRasterIntermediateImages = new RasterSipperList (false);
if (typeid (srcImage) != typeid (MLL::RasterSipper))
{
runLog.Level (-1) << endl
<< "PicesFVProducer::ComputeFeatureVector ***ERROR*** 'srcImage' not a 'RasterSipper' derived class." << endl
<< " ExampleFileName[" << srcImage.FileName () << "]" << endl
<< endl;
RasterSipperPtr sipperRaster = new RasterSipper (srcImage);
fv = new ImageFeatures (*sipperRaster, knownClass, sipperRasterIntermediateImages, runLog);
delete sipperRaster;
sipperRaster = NULL;
}
else
{
MLL::RasterSipperPtr sipperImage = dynamic_cast<MLL::RasterSipperPtr> (&(Raster&)srcImage);
fv = new ImageFeatures (*sipperImage, knownClass, sipperRasterIntermediateImages, runLog);
}
if (sipperRasterIntermediateImages)
{
for (auto intermdiateIDX: *sipperRasterIntermediateImages)
intermediateImages->PushOnBack (intermdiateIDX);
sipperRasterIntermediateImages->Owner (false);
}
delete sipperRasterIntermediateImages;
sipperRasterIntermediateImages = NULL;
return fv;
} /* ComputeFeatureVector */
MLClassPtr ModelUsfCasCor::Predict (FeatureVectorPtr example,
RunLog& log
)
{
if (!usfCasCorClassifier)
{
log.Level (-1) << endl << endl << "ModelUsfCasCor::Predict ***ERROR*** (usfCasCorClassifier == NULL)" << endl << endl;
return NULL;
}
bool newExampleCreated = false;
FeatureVectorPtr encodedExample = PrepExampleForPrediction (example, newExampleCreated);
MLClassPtr predictedClass = usfCasCorClassifier->PredictClass (encodedExample);
if (newExampleCreated)
{
delete encodedExample;
encodedExample = NULL;
}
return predictedClass;
} /* Predict */
void FeatureVectorList::RemoveEntriesWithMissingFeatures (RunLog& log)
{
log.Level (50) << "FeatureVectorList::RemoveEntriesWithMissingFeatures" << endl;
vector<FeatureVectorPtr> entriesToBeDeleted;
for (iterator idx = begin (); idx != end (); idx++)
{
FeatureVectorPtr example = *idx;
if (example->MissingData ())
entriesToBeDeleted.push_back (example);
}
for (kkint32 x = 0; x < (kkint32)entriesToBeDeleted.size (); x++)
{
FeatureVectorPtr example = entriesToBeDeleted[x];
DeleteEntry (example);
if (Owner ())
delete example;
}
} /* RemoveEntriesWithMissingFeatures */
ScannerFilePtr ScannerFile::CreateScannerFileForOutput (const KKStr& _fileName,
const KKStr& _formatStr,
kkuint32 _pixelsPerScanLine,
kkuint32 _frameHeight,
RunLog& _log
)
{
ScannerFilePtr scannerFile = NULL;
Format format = ScannerFileFormatFromStr (_formatStr);
if (format == Format::sfUnKnown)
{
_log.Level (-1) << endl << endl << "ScannerFile::CreateScannerFileForOutput ***ERROR*** Invalid Format[" << _formatStr << "]" << endl << endl;
}
else
{
scannerFile = ScannerFile::CreateScannerFileForOutput
(_fileName, (Format)format, _pixelsPerScanLine, _frameHeight, _log);
}
return scannerFile;
} /* CreateScannerFileForOutput */
RandomSampleJobListPtr RandomSampleJobList::CreateNewList (RunLog& _log,
TrainingConfigurationPtr _config,
OrderingsPtr _orderings,
int _numExamplesToKeep,
const KKStr& _fileName
)
{
_log.Level (10) << endl << endl << endl;
_log << "RandomSampleJobList::CreateNewList" << endl;
_log << " fileName [" << _fileName << "]" << endl;
_log << " numExamplesToKeep[" << _numExamplesToKeep << "]" << endl;
RandomSampleJobListPtr list = NULL;
if (osFileExists (_fileName))
{
_log << "Ordering Files already Exists." << endl;
list = new RandomSampleJobList (_log, _config, _orderings, _numExamplesToKeep, _fileName);
}
else
{
_log << "Ordering Files DID NOT exists" << endl;
list = new RandomSampleJobList (_log);
int orderingNum = 0;
for (orderingNum = 0; orderingNum < (int)_orderings->NumOfOrderings (); orderingNum++)
{
RandomSampleJobPtr j = new RandomSampleJob (_config, _orderings, orderingNum, orderingNum, _numExamplesToKeep);
list->PushOnBack (j);
}
list->Save (_fileName);
}
return list;
} /* CreateNewList */
void FeatureNumList::ReadXML (XmlStream& s,
XmlTagConstPtr tag,
VolConstBool& cancelFlag,
RunLog& log
)
{
maxFeatureNum = (IntType)tag->AttributeValueInt32 ("MaxFeatureNum");
auto expectedNumOfFeatures = (IntType)tag->AttributeValueInt32 ("NumOfFeatures");
numOfFeatures = 0;
XmlTokenPtr t = s.GetNextToken (cancelFlag, log);
while (t && (!cancelFlag))
{
if (typeid (*t) == typeid(XmlContent))
{
XmlContentPtr c = dynamic_cast<XmlContentPtr> (t);
if (c && (c->Content ()))
{
bool valid = false;
ParseToString (*(c->Content ()), valid);
}
}
delete t;
t = s.GetNextToken (cancelFlag, log);
}
delete t;
t = NULL;
if (expectedNumOfFeatures != numOfFeatures)
{
log.Level (-1) << endl
<< "FeatureNumList::ReadXML ***ERROR*** expectedNumOfFeatures[" << expectedNumOfFeatures << "] not equal numOfFeatures[" << numOfFeatures << "]" << endl
<< endl;
}
} /* ReadXML */
void ModelUsfCasCor::ReadXML (XmlStream& s,
XmlTagConstPtr tag,
VolConstBool& cancelFlag,
RunLog& log
)
{
delete usfCasCorClassifier;
usfCasCorClassifier = NULL;
XmlTokenPtr t = s.GetNextToken (cancelFlag, log);
while (t && (!cancelFlag))
{
t = ReadXMLModelToken (t, log);
if (t)
{
if (t->VarName ().EqualIgnoreCase ("UsfCasCorClassifier") && (typeid (*t) == typeid(XmlElementUsfCasCor)))
{
delete usfCasCorClassifier;
usfCasCorClassifier = dynamic_cast<XmlElementUsfCasCorPtr>(t)->TakeOwnership ();
}
else
{
KKStr errMsg (128);
errMsg << "ModelUsfCasCor::ReadXML ***ERROR*** Unexpected Element: Section: " << t->SectionName () << " VarName:" << t->VarName ();
log.Level (-1) << endl << errMsg << endl << endl;
AddErrorMsg (errMsg, 0);
}
}
delete t;
t = s.GetNextToken (cancelFlag, log);
}
delete t;
t = NULL;
if (!cancelFlag)
{
if (!param)
param = dynamic_cast<ModelParamUsfCasCorPtr> (Model::param);
if (Model::param == NULL)
{
KKStr errMsg (128);
errMsg << "ModelUsfCasCor::ReadXML ***ERROR*** Base class 'Model' does not have 'param' defined.";
AddErrorMsg (errMsg, 0);
log.Level (-1) << endl << errMsg << endl << endl;
}
else if (typeid (*Model::param) != typeid(ModelParamUsfCasCor))
{
KKStr errMsg (128);
errMsg << "ModelUsfCasCor::ReadXML ***ERROR*** Base class 'Model' param parameter is of the wrong type; found: " << Model::param->ModelParamTypeStr ();
AddErrorMsg (errMsg, 0);
log.Level (-1) << endl << errMsg << endl << endl;
}
else
{
param = dynamic_cast<ModelParamUsfCasCorPtr> (Model::param);
}
ReadXMLModelPost (log);
}
} /* ReadXML */
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);
prob.x[i] = smallerXSpaceThisExample;
}
}
else
{
prob.x[i] = &xSpace[totalxSpaceUsed];
EncodeAExample (example, prob.x[i], xSpaceUsed);
}
totalxSpaceUsed += xSpaceUsed;
}
delete compressedExamples;
return;
} /* Compress */
void ImportGPSDataGPGGA (const KKStr& fileName)
{
RunLog log;
DataBasePtr dbConn = new DataBase (log);
ifstream i (fileName.Str ());
if (!i.is_open ())
{
log.Level (-1) << endl << endl
<< "ImpotrtGPSData Could not open file[" << fileName << "]" << endl
<< endl;
return;
}
log.Level (10) << endl << endl << endl << endl << endl
<< "ImpotrtGPSData FileName[" << fileName << "]" << endl << endl
<< endl;
char buff[20480];
bool firstPass = true;
int lastMinute = 0;
int linesRead = 0;
KKStr ln (256);
DateTime lastDateTime;
while (i.getline (buff, sizeof (buff)))
{
linesRead++;
ln = buff;
ln.TrimLeft ();
if (!ln.LocateStr ("GPGGA"))
continue;
VectorKKStr fields = ln.Parse (",");
if (fields.size () < 8)
continue;
if (!fields[2].EqualIgnoreCase ("$GPGGA"))
continue;
/*
0 1 2 3 4 5 6 7 8
06/01/2010, 23:59:59.818, $GPGGA, 235958, 2840.927, N, 08828.458, W, 2, 09,22.10,0,M,,,14,0000*12
06/02/2010, 00:00:10.818, $GPGGA, 000009, 2840.931, N, 08828.482, W, 1, 09,0.89,0,M,,,,*2D
06/02/2010, 00:00:21.802, $GPGGA, 000020, 2840.929, N, 08828.505, W, 1, 09,0.89,0,M,,,,*21
06/02/2010, 00:00:31.818, $GPGGA, 000030, 2840.924, N, 08828.526, W, 1, 09,0.89,0,M,,,,*2C
06/02/2010, 00:00:42.818, $GPGGA, 000041, 2840.917, N, 08828.547, W, 1, 09,0.89,0,M,,,,*2D
06/02/2010, 00:00:53.802, $GPGGA, 000052, 2840.906, N, 08828.568, W, 1, 09,1.00,0,M,,,,*22
06/02/2010, 00:01:03.802, $GPGGA, 000102, 2840.895, N, 08828.585, W, 1, 09,0.89,0,M,,,,*2E
06/02/2010, 00:01:13.818, $GPGGA, 000112, 2840.883, N, 08828.600, W, 1, 09,0.89,0,M,,,,*26
*/
KKStr dateStr = fields[0];
KKStr timeStr = fields[1];
KKStr latStr = fields[4];
KKStr logStr = fields[6];
auto x = latStr.LocateCharacter ('.');
if (!x)
continue;
KKStr latMinStr = latStr.SubStrPart (x - 2);
KKStr latDegStr = latStr.SubStrSeg (0, x - 2);
double latitude = latDegStr.ToDouble () + latMinStr.ToDouble () / 60.0;
if (fields[5].EqualIgnoreCase ("S"))
latitude = 0.0 - latitude;
x = logStr.LocateCharacter ('.');
if (!x)
continue;
KKStr logMinStr = logStr.SubStrPart (x - 2);
KKStr logDegStr = logStr.SubStrSeg (0, x - 2);
double longitude = logDegStr.ToDouble () + logMinStr.ToDouble () / 60.0;
if (fields[7].EqualIgnoreCase ("W"))
longitude = 0.0 - longitude;
DateType gmtDate (dateStr);
TimeType gmtTime (timeStr);
DateTime gmtDateTime (gmtDate, gmtTime);
DateTime localTime = gmtDateTime;
localTime.HoursAdd (-4);
DateTime startDT = localTime;
DateTime endDT = localTime;
if (firstPass)
{
firstPass = false;
startDT.SecondsAdd (-180);
}
else
{
DateTime deltaDT = localTime - lastDateTime;
long deltaSecs = (long)deltaDT.Seconds ();
startDT.SecondsAdd (-(deltaSecs / 2));
}
endDT.SecondsAdd (30);
if (gmtTime.Minute () != lastMinute)
{
lastMinute = gmtTime.Minute ();
log.Level (10) << "LinesRead[" << linesRead << "] File[" << osGetRootName (fileName) << "] GMT Time[" << gmtDate.MMM_DD_YYYY () << " - " << gmtTime.HH_MM_SS () << "]" << endl;
}
if ((endDT.Month () < 6) && (endDT.Day () < 28))
{
}
else
{
dbConn->InstrumentDataUpdateLatitudeAndLongitude (startDT, endDT, latitude, longitude);
}
lastDateTime = localTime;
}
i.close ();
delete dbConn;
dbConn = NULL;
} /* ImportGPSDataGPGGA */
void ImpotrtGPSData (const KKStr& fileName)
{
RunLog log;
DataBasePtr dbConn = new DataBase (log);
ifstream i (fileName.Str ());
if (!i.is_open ())
{
log.Level (-1) << endl << endl
<< "ImpotrtGPSData Could not open file[" << fileName << "]" << endl
<< endl;
return;
}
log.Level (10) << endl << endl << endl << endl << endl
<< "ImpotrtGPSData FileName[" << fileName << "]" << endl << endl
<< endl;
char buff[20480];
bool firstPass = true;
int lastHour = 0;
DateTime lastDateTime;
while (i.getline (buff, sizeof (buff)))
{
KKStr ln = buff;
ln.TrimLeft ();
char ch = ln[0];
if ((ch < '0') || (ch > '9'))
continue;
KKStr dateStr = ln.ExtractToken2 (",");
KKStr timeStr = ln.ExtractToken2 (",");
KKStr WXTP_TaStr = ln.ExtractToken2 (",");
KKStr WXTS_TaStr = ln.ExtractToken2 (",");
KKStr WXTS_PaStr = ln.ExtractToken2 (",");
KKStr WXTP_PaStr = ln.ExtractToken2 (",");
KKStr dec_latStr = ln.ExtractToken2 (",");
KKStr dec_lonStr = ln.ExtractToken2 (",");
KKStr cogStr = ln.ExtractToken2 (",");
KKStr sogStr = ln.ExtractToken2 (",");
DateType gmtDate (dateStr);
TimeType gmtTime (timeStr);
DateTime gmtDateTime (gmtDate, gmtTime);
DateTime localTime = gmtDateTime;
localTime.HoursAdd (-4);
DateTime startDT = localTime;
DateTime endDT = localTime;
if (firstPass)
{
firstPass = false;
startDT.SecondsAdd (-180);
}
else
{
DateTime deltaDT = localTime - lastDateTime;
long deltaSecs = (long)deltaDT.Seconds ();
startDT.SecondsAdd (-(deltaSecs / 2));
}
endDT.SecondsAdd (120);
dbConn->InstrumentDataUpdateLatitudeAndLongitude (startDT, endDT, dec_latStr.ToDouble (), dec_lonStr.ToDouble ());
lastDateTime = localTime;
if (gmtTime.Minute () != lastHour)
{
lastHour = gmtTime.Hour ();
log.Level (10) << "File[" << osGetRootName (fileName) << "] GMT Time[" << gmtDate.MMM_DD_YYYY () << " - " << gmtTime.HH_MM_SS () << "]" << endl;
}
}
i.close ();
delete dbConn;
dbConn = NULL;
} /* ImpotrtGPSData */
void Configuration::LoadFile (RunLog& log)
{
log.Level (10) << "Configuration::LoadFile: " << fileName << endl;
kkint32 lastLineNum = 0;
if (fileName == "")
{
log.Level (-1) << endl
<< "Configuration::LoadFile ***ERROR*** File-Name is blank" << endl
<< endl;
FormatGood (false);
return;
}
FILE* inFile = osFOPEN (fileName.Str (), "r");
if (!inFile)
{
log.Level (-1) << endl
<< "Configuration::LoadFile ***ERROR*** Opening File: " << fileName << endl
<< endl;
FormatGood (false);
return;
}
char buff[10240];
kkint32 lineCount = 0;
curSectionName = "";
ConfSectionPtr curSection = NULL;
while (fgets (buff, sizeof (buff), inFile))
{
lastLineNum++;
KKStr line (buff);
line.TrimRight ();
line.TrimLeft ();
StripOutAnyComments (line);
log.Level (70) << line << endl;
StripOutAnyComments (line);
if (line.Empty ())
{
// If we have a blank line, we do nothing.
}
else if (line.FirstChar () == '[')
{
// Looks like definition of new section.
if (line.LastChar () == ']')
{
curSectionName = line.SubStrPart (1, line.Len () - 2);
curSectionName.TrimLeft ();
curSectionName.TrimRight ();
curSectionName.Upper ();
curSection = new ConfSection (curSectionName, lastLineNum);
sections->AddConfSection (curSection);
log.Level (30) << "LoadFile SectionName[" << curSectionName << "]." << endl;
}
else
{
log.Level (-1) << endl
<< "Configuration::LoadFile ***ERROR*** LineNumber[" << lastLineNum << "] Improper Section Name[" << line << "]." << endl
<< endl;
formatGood = false;
}
}
else
{
if (!curSection)
{
log.Level (-1) << endl
<< "Configuration::LoadFile ***ERROR*** Format Error LineNumber[" << lastLineNum << "]" << endl
<< " No Section Defined." << endl
<< endl;
formatGood = false;
curSectionName = "GLOBAL";
curSection = new ConfSection (curSectionName, lastLineNum);
sections->AddConfSection (curSection);
}
kkint32 equalIdx = line.LocateCharacter ('=');
if (equalIdx < 0)
{
// We have a improperly formated line.
log.Level (-1) << endl
<< "Configuration::LoadFile ***ERROR*** LineNumber[" << lastLineNum << "] Improperly Formated Line[" << line << "]."
<< endl;
formatGood = false;
}
else
{
KKStr settingName (line.SubStrPart (0, equalIdx - 1));
settingName.TrimLeft ();
settingName.TrimRight ();
settingName.Upper ();
KKStr settingValue (line.SubStrPart (equalIdx + 1));
settingValue.TrimLeft ();
settingValue.TrimRight ();
log.Level (30) << "LoadFile SectionName[" << curSectionName << "], "
<< "Setting[" << settingName << "], Value[" << settingValue << "]."
<< endl;
curSection->AddSetting (settingName, settingValue, lastLineNum);
}
lineCount++;
}
}
fclose (inFile);
} /* LoadFile */
FeatureVectorListPtr FeatureFileIO::FeatureDataReSink (FactoryFVProducerPtr _fvProducerFactory,
const KKStr& _dirName,
const KKStr& _fileName,
MLClassPtr _unknownClass,
bool _useDirectoryNameForClassName,
MLClassList& _mlClasses,
VolConstBool& _cancelFlag,
bool& _changesMade,
KKB::DateTime& _timeStamp,
RunLog& _log
)
{
_changesMade = false;
_timeStamp = DateTime ();
if (_unknownClass == NULL)
_unknownClass = MLClass::GetUnKnownClassStatic ();
KKStr className = _unknownClass->Name ();
_log.Level (10) << "FeatureFileIO::FeatureDataReSink dirName: " << _dirName << endl
<< " fileName: " << _fileName << " UnKnownClass: " << className << endl;
KKStr fullFeatureFileName = osAddSlash (_dirName) + _fileName;
bool successful = true;
KKStr fileNameToOpen;
if (_dirName.Empty ())
fileNameToOpen = _fileName;
else
fileNameToOpen = osAddSlash (_dirName) + _fileName;
bool versionsAreSame = false;
FeatureVectorListPtr origFeatureVectorData
= LoadFeatureFile (fileNameToOpen, _mlClasses, -1, _cancelFlag, successful, _changesMade, _log);
if (origFeatureVectorData == NULL)
{
successful = false;
origFeatureVectorData = _fvProducerFactory->ManufacturFeatureVectorList (true);
}
if (_cancelFlag)
{
delete origFeatureVectorData; origFeatureVectorData = NULL;
return _fvProducerFactory->ManufacturFeatureVectorList (true);
}
FeatureVectorListPtr origFeatureData = NULL;
if (successful &&
(&typeid (*origFeatureVectorData) == _fvProducerFactory->FeatureVectorListTypeId ()) &&
((*(origFeatureVectorData->FileDesc ())) == (*(_fvProducerFactory->FileDesc ())))
)
{
origFeatureData = origFeatureVectorData;
}
else
{
origFeatureData = _fvProducerFactory->ManufacturFeatureVectorList (true);
delete origFeatureVectorData;
origFeatureVectorData = NULL;
}
KKStr fileSpec = osAddSlash (_dirName) + "*.*";
KKStrListPtr fileNameList = osGetListOfFiles (fileSpec);
if (!fileNameList)
{
// There are no Image Files, so we need to return a Empty List of Image Features.
if (origFeatureData->QueueSize () > 0)
_changesMade = true;
delete origFeatureData; origFeatureData = NULL;
return _fvProducerFactory->ManufacturFeatureVectorList (true);
}
FeatureVectorProducerPtr fvProducer = _fvProducerFactory->ManufactureInstance (_log);
if (successful)
{
if (origFeatureData->Version () == fvProducer->Version ())
{
versionsAreSame = true;
_timeStamp = osGetFileDateTime (fileNameToOpen);
}
else
{
_changesMade = true;
}
}
else
{
delete origFeatureData;
origFeatureData = _fvProducerFactory->ManufacturFeatureVectorList (true);
}
origFeatureData->SortByRootName (false);
FeatureVectorListPtr extractedFeatures = _fvProducerFactory->ManufacturFeatureVectorList (true);
extractedFeatures->Version (fvProducer->Version ());
fileNameList->Sort (false);
KKStrList::iterator fnIDX;
fnIDX = fileNameList->begin (); // fileNameList
KKStrPtr imageFileName;
kkuint32 numImagesFoundInOrigFeatureData = 0;
kkuint32 numOfNewFeatureExtractions = 0;
for (fnIDX = fileNameList->begin (); (fnIDX != fileNameList->end ()) && (!_cancelFlag); ++fnIDX)
{
imageFileName = *fnIDX;
// pv414-_002_20140414-162243_02068814-1261.bmp
KKStr rootName = osGetRootName (*imageFileName);
if (rootName == "pv414-_002_20140414-162243_02068814-1261")
cout << "Stop Here." << endl;
bool validImageFileFormat = SupportedImageFileFormat (*imageFileName);
if (!validImageFileFormat)
continue;
bool featureVectorCoputaionSuccessful = false;
FeatureVectorPtr origFV = origFeatureData->BinarySearchByName (*imageFileName);
if (origFV)
numImagesFoundInOrigFeatureData++;
if (origFV && versionsAreSame)
{
featureVectorCoputaionSuccessful = true;
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 */
FeatureVectorListPtr FeatureFileIO::LoadInSubDirectoryTree
(FactoryFVProducerPtr _fvProducerFactory,
KKStr _rootDir,
MLClassList& _mlClasses,
bool _useDirectoryNameForClassName,
VolConstBool& _cancelFlag,
bool _rewiteRootFeatureFile,
RunLog& _log
)
{
_log.Level (10) << "FeatureFileIO::LoadInSubDirectoryTree rootDir[" << _rootDir << "]." << endl;
osAddLastSlash (_rootDir);
KKStr featureFileName ("");
KKStr fullFeatureFileName ("");
if (!_rootDir.Empty ())
{
featureFileName = osGetRootNameOfDirectory (_rootDir) + ".data";
fullFeatureFileName = _rootDir + featureFileName;
}
else
{
featureFileName = "Root.data";
fullFeatureFileName = "Root.data";
}
MLClassPtr unKnownClass = _mlClasses.GetUnKnownClass ();
if (_useDirectoryNameForClassName)
{
KKStr className = MLClass::GetClassNameFromDirName (_rootDir);
unKnownClass = _mlClasses.GetMLClassPtr (className);
}
bool changesMade = false;
FeatureVectorListPtr dirImages = NULL;
if (_rewiteRootFeatureFile)
{
DateTime timeStamp;
dirImages = FeatureDataReSink (_fvProducerFactory,
_rootDir,
featureFileName,
unKnownClass,
_useDirectoryNameForClassName,
_mlClasses,
_cancelFlag,
changesMade,
timeStamp,
_log
);
if (_useDirectoryNameForClassName)
{
FeatureVectorList::iterator idx;
for (idx = dirImages->begin (); idx != dirImages->end (); idx++)
{
if ((*idx)->MLClass () != unKnownClass)
{
(*idx)->MLClass (unKnownClass);
changesMade = true;
}
}
if (changesMade)
{
KKStr fullFileName = osAddSlash (_rootDir) + featureFileName;
kkuint32 numExamplesWritten = 0;
bool cancel = false;
bool successful = false;
SaveFeatureFile (fullFileName,
dirImages->AllFeatures (),
*dirImages,
numExamplesWritten,
cancel,
successful,
_log
);
}
}
}
else
{
dirImages = _fvProducerFactory->ManufacturFeatureVectorList (true);
}
// Now that we have processed all image files in "rootDir",
// lets process any sub-directories.
KKStr dirSearchPath = osAddSlash (_rootDir) + "*.*";
KKStrListPtr subDirectories = osGetListOfDirectories (dirSearchPath);
if (subDirectories)
{
KKStrList::iterator idx;
for (idx = subDirectories->begin (); (idx != subDirectories->end () && (!_cancelFlag)); idx++)
{
KKStr subDirName (**idx);
if (subDirName == "BorderImages")
{
// We ignore this director
continue;
}
KKStr newDirPath = osAddSlash (_rootDir) + subDirName;
FeatureVectorListPtr subDirExamples = LoadInSubDirectoryTree (_fvProducerFactory,
newDirPath,
_mlClasses,
_useDirectoryNameForClassName,
_cancelFlag,
true, // true = ReWriteRootFeatureFile
_log
);
osAddLastSlash (subDirName);
// We want to add the directory path to the ExampleFileName so that we can later locate the source image.
for (auto fv: *subDirExamples)
{
KKStr newImageFileName = subDirName + fv->ExampleFileName ();
fv->ExampleFileName (newImageFileName);
}
dirImages->AddQueue (*subDirExamples);
subDirExamples->Owner (false);
delete subDirExamples;
subDirExamples = NULL;
}
delete subDirectories; subDirectories = NULL;
}
_log.Level (10) << "LoadInSubDirectoryTree - Done" << endl;
return dirImages;
} /* LoadInSubDirectoryTree */
void FeatureEncoder::ReadXML (XmlStream& s,
XmlTagConstPtr tag,
VolConstBool& cancelFlag,
RunLog& log
)
{
XmlTokenPtr t = s.GetNextToken (cancelFlag, log);
while (t && (!cancelFlag))
{
if (t->TokenType () == XmlToken::TokenTypes::tokElement)
{
XmlElementPtr e = dynamic_cast<XmlElementPtr> (t);
if (e)
{
KKStr varName = e->VarName ();
if (varName.EqualIgnoreCase ("CodedNumOfFeatures"))
codedNumOfFeatures= e->ToInt32 ();
else if (varName.EqualIgnoreCase ("C_Param"))
c_Param = e->ToDouble ();
else if (varName.EqualIgnoreCase ("NumEncodedFeatures"))
numEncodedFeatures = e->ToInt32 ();
else if (varName.EqualIgnoreCase ("NumOfFeatures"))
numOfFeatures = e->ToInt32 ();
else if (varName.EqualIgnoreCase ("xSpaceNeededPerExample"))
xSpaceNeededPerExample = e->ToInt32 ();
else if (typeid (*e) == typeid (XmlElementArrayInt32))
{
XmlElementArrayInt32Ptr xmlArray = dynamic_cast<XmlElementArrayInt32Ptr> (e);
kkuint32 count = xmlArray->Count ();
if (count != numOfFeatures)
{
log.Level (-1) << endl
<< "FeatureEncoder::ReadXML ***ERROR*** Variable[" << varName << "] Invalid Length[" << count << "] Expected[" << numOfFeatures << "]" << endl
<< endl;
}
else
{
if (varName.EqualIgnoreCase ("CardinalityDest"))
{
delete cardinalityDest;
cardinalityDest = xmlArray->TakeOwnership ();
}
else if (varName.EqualIgnoreCase ("DestFeatureNums"))
{
delete destFeatureNums;
destFeatureNums = xmlArray->TakeOwnership ();
}
else if (varName.EqualIgnoreCase ("SrcFeatureNums"))
{
delete srcFeatureNums;
srcFeatureNums = xmlArray->TakeOwnership ();
}
}
}
else if (varName.EqualIgnoreCase ("Class1"))
class1 = MLClass::CreateNewMLClass (e->ToKKStr (), -1);
else if (varName.EqualIgnoreCase ("Class2"))
class2 = MLClass::CreateNewMLClass (e->ToKKStr (), -1);
else if (varName.EqualIgnoreCase ("FileDesc") && (typeid (*e) == typeid (XmlElementFileDesc)))
fileDesc = dynamic_cast<XmlElementFileDescPtr> (e)->Value ();
else if (varName.EqualIgnoreCase ("DestFileDesc") && (typeid (*e) == typeid (XmlElementFileDesc)))
destFileDesc = dynamic_cast<XmlElementFileDescPtr> (e)->Value ();
else if (varName.EqualIgnoreCase ("DestWhatToDo") && (typeid (*e) == typeid (XmlElementVectorInt32)))
{
XmlElementVectorInt32Ptr xmlVect = dynamic_cast<XmlElementVectorInt32Ptr> (e);
if (xmlVect && xmlVect->Value ())
{
const VectorInt32& v = *(xmlVect->Value ());
if (v.size () != numOfFeatures)
{
log.Level (-1) << endl
<< "FeatureEncoder::ReadXML ***ERROR*** Variable[" << varName << "] Invalid Size[" << v.size () << "] Expected[" << numOfFeatures << "]." << endl
<< endl;
}
else
{
delete destWhatToDo;
destWhatToDo = new FeWhatToDo[v.size ()];
for (kkuint32 x = 0; x < v.size (); ++x)
destWhatToDo[x] = (FeWhatToDo)v[x];
}
}
}
else if (varName.EqualIgnoreCase ("EncodingMethod"))
encodingMethod = EncodingMethodFromStr (e->ToKKStr ());
else
{
log.Level (-1) << "XmlElementTrainingClassList ***ERROR*** Un-expected Section Element[" << e->SectionName () << "]" << endl;
}
}
}
delete t;
t = s.GetNextToken (cancelFlag, log);
}
delete t;
t = NULL;
} /* ReadXML */
