public bool Decide()
{
// Get list of files in folders
//String[] files = Testing.GetFilesFromDirectory(decidePath).ToArray();
string csvPath = userPath + "SVM\\Decide.txt";
string resultPath = userPath + "SVM\\Result.txt";
// Get list of files in folders
string[] filesAll = Testing.GetFilesFromDirectory(allPath).ToArray();
string[] filesTrue = Testing.GetFilesFromDirectory(truePath).ToArray();
if (filesAll.Length <= 0 || filesTrue.Length <= 0)
return false;
// Make False vector list - All the files in all that are not in true.
string[] filesFalse = DataConverter.Internal_ExtractFalseFiles(filesAll, filesTrue);
Console.WriteLine("Process good images: " + string.Format("{0:HH:mm:ss tt}", DateTime.Now));
ImageVector[] goodImages = Internal_GetImages(filesTrue);
Console.WriteLine("Process bad images: " + string.Format("{0:HH:mm:ss tt}", DateTime.Now));
ImageVector[] badImages = Internal_GetImages(filesFalse);
learningAlgo.Decide();
LearningAlgorithmML.Algorithm[] filesTrueResults = new LearningAlgorithmML.Algorithm[filesTrue.Length];
LearningAlgorithmML.Algorithm[] filesFalseResults = new LearningAlgorithmML.Algorithm[filesFalse.Length];
// let the algorithm decide for each good image if it's is good or bad
Console.WriteLine("deciding on good images Time: " + string.Format("{0:HH:mm:ss tt}", DateTime.Now));
for (int i = 0; i < filesTrue.Length; i++)
{
//filesTrueResults[i] = Internal_DecideImage(goodImages[i]);
//if(filesTrueResults[i] == learningAlgo.Algo)
//{
// string[] path = goodImages[i].Path.Split('\\');
// string fileName = path[path.Length - 1];
// File.Copy(goodImages[i].Path, decidePath + "\\" + fileName);
//}
}
// let the algorithm decide for each bad image if it's good or bad
Console.WriteLine("deciding on bad images Time: " + string.Format("{0:HH:mm:ss tt}", DateTime.Now));
for (int i = 0; i < filesFalse.Length; i++)
{
//filesFalseResults[i] = Internal_DecideImage(badImages[i]);
//if (filesFalseResults[i] == learningAlgo.Algo)
//{
// string[] path = goodImages[i].Path.Split('\\');
// string fileName = path[path.Length - 1];
// File.Copy(goodImages[i].Path, decidePath + "\\" + fileName);
//}
}
// analyze the results
Console.WriteLine("Analyzing the results Time: " + string.Format("{0:HH:mm:ss tt}", DateTime.Now));
learningAlgo.checkDecision();
learningAlgo.Quit();
return true;
}
public override void restartTest()
{
svm.restartTest();
knn.restartTest();
recall = 0;
precision = 0;
accuracy = 0;
acc = 0;
FScore = 0;
goodMeasure = 0;
Svmrecall = 0;
Svmprecision = 0;
Svmaccuracy = 0;
Svmacc = 0;
SvmFScore = 0;
SvmgoodMeasure = 0;
Knnrecall = 0;
Knnprecision = 0;
Knnaccuracy = 0;
Knnacc = 0;
KnnFScore = 0;
KnngoodMeasure = 0;
decisionCount = 0;
trueAndSelected = 0;
trueAndSelectedNotLearned = 0;
falseAndNotSelected = 0;
falseAndNotSelectedNotLearned = 0;
trueButNotSelected = 0;
trueButNotSelectedNotLearned = 0;
falseButSelected = 0;
falseButSelectedNotLearned = 0;
filesTrueResults = new LearningAlgorithmML.Algorithm[goodImages.Length];
filesFalseResults = new LearningAlgorithmML.Algorithm[badImages.Length];
for (int i = 0; i < learnedTrue.Length; i++)
learnedTrue[i] = false;
for (int i = 0; i < learnedFalse.Length; i++)
learnedFalse[i] = false;
}
