} /* BackGroundThread */
private void SaveSampleImages(PicesFeatureVectorList featureData)
{
PicesClassList classes = featureData.ExtractListOfClasses();
if (classes == null)
{
return;
}
String sampleDir = OSservices.AddSlash(OSservices.GetPathPartOfFile(featureFileName)) +
OSservices.GetRootName(featureFileName) +
"_SampleImages";
sampleDir = OSservices.AddSlash(sampleDir);
OSservices.CreateDirectoryPath(sampleDir);
foreach (PicesClass pc in classes)
{
String classSampleDir = OSservices.AddSlash(sampleDir + pc.Name);
OSservices.CreateDirectoryPath(classSampleDir);
PicesFeatureVectorList examplesThisClass = featureData.ExtractExamplesForAGivenClass(pc);
examplesThisClass.RandomizeOrder();
int numWritten = 0;
foreach (PicesFeatureVector fv in examplesThisClass)
{
String imageRootName = OSservices.GetRootName(fv.ExampleFileName);
PicesRaster i = dbConn.ImageFullSizeFind(imageRootName);
if (i != null)
{
String imageFileName = classSampleDir + imageRootName + ".bmp";
i.Save(imageFileName);
++numWritten;
}
if (numWritten >= includeSampleImagesNumPerClass)
{
break;
}
}
}
} /* SaveSampleImages */
} /* DialogTimer_Tick */
private void CreateTuningFeatureFiles()
{
tuningThreadRunning = true;
PicesDataBase.ThreadInit();
AddMsgToDialogMsgQueue(DateTime.Now.ToShortTimeString() + " Started");
AddMsgToDialogMsgQueue(DateTime.Now.ToShortTimeString() + " Creating Destination Directory");
String destinationDirectory = OSservices.AddSlash(DestinationDirectory.Text) + OSservices.GetRootName(modelName);
OSservices.CreateDirectoryPath(destinationDirectory);
AddMsgToDialogMsgQueue(DateTime.Now.ToShortTimeString() + " Loading feature data for Model[" + modelName + "]");
config = new PicesTrainingConfigManaged(modelName, runLog);
if (!config.Valid())
{
AddMsgToDialogMsgQueue("\n\n");
AddMsgToDialogMsgQueue("Model[" + modelName + "] is invalid.");
tuningThreadFailed = true;
tuningThreadDone = true;
tuningThreadRunning = false;
return;
}
bool changesMade = false;
PicesFeatureVectorList data = config.LoadFeatureDataFromTrainingLibraries(changesMade);
if (data == null)
{
AddMsgToDialogMsgQueue("\n\n");
AddMsgToDialogMsgQueue("Model[" + modelName + "] Could not load Feature Data.");
tuningThreadFailed = true;
tuningThreadDone = true;
tuningThreadRunning = false;
return;
}
if (tuningThreadCancelReq)
{
AddMsgToDialogMsgQueue("\n\n");
AddMsgToDialogMsgQueue("Process Canceled.");
tuningThreadDone = true;
tuningThreadRunning = false;
return;
}
AddMsgToDialogMsgQueue(DateTime.Now.ToShortTimeString() + " Feature Data Loaded.");
AddMsgToDialogMsgQueue(DateTime.Now.ToShortTimeString() + " Checking that Depth Data Exists.");
MakeSureDepthFieldIsIncluded(data);
AddMsgToDialogMsgQueue(DateTime.Now.ToShortTimeString() + " Splitting into separate files.");
PicesFeatureVectorList trainData = new PicesFeatureVectorList();
PicesFeatureVectorList testData = new PicesFeatureVectorList();
PicesFeatureVectorList validationData = new PicesFeatureVectorList();
PicesClassList classes = data.ExtractListOfClasses();
if (classes == null)
{
AddMsgToDialogMsgQueue("\n\n");
AddMsgToDialogMsgQueue("Could not extract list of classes from data.");
tuningThreadFailed = true;
tuningThreadDone = true;
tuningThreadRunning = false;
return;
}
foreach (PicesClass c in classes)
{
int trainCount = 0;
int testCount = 0;
int validationCount = 0;
PicesFeatureVectorList examplesForClass = data.ExtractExamplesForAGivenClass(c);
int n = examplesForClass.Count;
AddMsgToDialogMsgQueue(DateTime.Now.ToShortTimeString() + " Processing Class[" + c.Name + "] Count[" + n + "]");
trainCount = (int)((float)n * trainingDataPercentage / 100.0f + 0.5f);
if (trainingDataMaxImagesPerClass > 0)
{
if (trainCount > trainingDataMaxImagesPerClass)
{
trainCount = trainingDataMaxImagesPerClass;
}
}
if (validationDataPercentage == 0.0f)
{
testCount = n - trainCount;
}
else
{
testCount = (int)((float)n * testDataPercentage / 100.0f + 0.5f);
}
validationCount = n - (trainCount + testCount);
examplesForClass.RandomizeOrder();
int validationStart = trainCount + testCount;
int testStart = trainCount;
for (int idx = 0; idx < n; idx++)
{
PicesFeatureVector fv = examplesForClass[idx];
if (idx >= validationStart)
{
validationData.Add(fv);
}
else if (idx >= testStart)
{
testData.Add(fv);
}
else
{
trainData.Add(fv);
}
}
if (tuningThreadCancelReq)
{
AddMsgToDialogMsgQueue("\n\n");
AddMsgToDialogMsgQueue("Process Canceled.");
break;
}
}
if (!tuningThreadCancelReq)
{
AddMsgToDialogMsgQueue("\n\n" + DateTime.Now.ToShortTimeString() + " Stratifying Data");
PicesFeatureVectorList trainDataStratified = trainData.StratifyAmoungstClasses(numOfFolds);
PicesFeatureVectorList testDataStratified = testData.StratifyAmoungstClasses(numOfFolds);
PicesFeatureVectorList validationDataStratified = validationData.StratifyAmoungstClasses(numOfFolds);
String rootName = OSservices.AddSlash(destinationDirectory) + OSservices.GetRootName(modelName);
if ((trainDataStratified.Count > 0) && (!tuningThreadCancelReq))
{
trainDataFileName = rootName + "_Train.data";
AddMsgToDialogMsgQueue("Saving Training Data[" + trainDataFileName + "]");
trainDataStratified.Save(trainDataFileName, "", runLog);
}
if ((testDataStratified.Count > 0) && (!tuningThreadCancelReq))
{
testDataFileName = rootName + "_Test.data";
AddMsgToDialogMsgQueue("Saving Test Data[" + testDataFileName + "]");
testDataStratified.Save(testDataFileName, "", runLog);
}
if ((validationDataStratified.Count > 0) && (!tuningThreadCancelReq))
{
validationDataFileName = rootName + "_Validation.data";
AddMsgToDialogMsgQueue("Saving Validation Data[" + validationDataFileName + "]");
validationDataStratified.Save(validationDataFileName, "", runLog);
}
}
AddMsgToDialogMsgQueue("\n\n");
if (tuningThreadCancelReq)
{
AddMsgToDialogMsgQueue("Process *** CANCELED ***.");
}
else
{
AddMsgToDialogMsgQueue("Process Completed.");
}
PicesDataBase.ThreadEnd();
tuningThreadDone = true;
tuningThreadRunning = false;
} /* CreateTuningFeatureFiles */
