static void Main(String[] args)
{
// train(2,3,16,8,1);
Console.WriteLine("done train");
//create an object o the algorithm
//ModularFaceRecognitionAlgorithms mpca = new ModularFaceRecognitionAlgorithms();
//mpca.loadTrainingData("E:/trainMPCA.txt");
//string testPath = @"E:\test\s3\10.bmp";
//Matrix test = FileManager.GetBitMapColorMatrix(testPath);
//Console.WriteLine(mpca.test(test));
//EigenFaceRecognizer pca = new EigenFaceRecognizer();
//pca.loadTrainingData("E:/trainPCA.txt");
//string testPath = @"E:\test\s4\10.bmp";
//Matrix test = ImageGrapper.GetMatrixGivenPath(testPath);
//test = convertTo1D(test);
//Console.WriteLine(pca.test(test));
//LinearDescriminantAnalysis lda = new LinearDescriminantAnalysis();
//lda.loadTrainingData("E:/trainLDA.txt");
//string testPath = @"E:\test\s3\10.bmp";
//Matrix test = ImageGrapper.GetMatrixGivenPath(testPath);
//test = convertTo1D(test);
//Console.WriteLine(lda.test(test));
LaplacianFaceRecognizer lpp = new LaplacianFaceRecognizer();
lpp.loadTrainingData("E:/trainLDA.txt");
string testPath = @"E:\test\s5\10.bmp";
Matrix test = ImageGrapper.GetMatrixGivenPath(testPath);
test = convertTo1D(test);
Console.WriteLine(lpp.test(test));
Console.ReadLine();
}
static void train(int metricType, int recognizer, int noOfComponents, int trainNums, int knn_k)
{
//set trainSet and testSet
Dictionary <String, List <int> > trainMap = new Dictionary <string, List <int> >();
Dictionary <String, List <int> > testMap = new Dictionary <string, List <int> >();
for (int i = 1; i <= 5; i++)
{
String label = "s" + i;
List <int> train = generateTrainNums(trainNums);
List <int> test = generateTestNums(train);
trainMap[label] = train;
testMap[label] = test;
}
//trainingSet & respective labels
List <Matrix> trainingSet = new List <Matrix>();
List <String> labels = new List <String>();
HashSet <String> labelSet = new HashSet <string>(trainMap.Keys);
foreach (String label in labelSet)
{
List <int> cases = trainMap[label];
for (int i = 0; i < cases.Count; i++)
{
String filePath = "E:/faces/" + label + "/" + cases[i] + ".bmp";
Matrix temp;
try
{
temp = ImageGrapper.GetMatrixGivenPath(filePath);
if (recognizer != 0)
{
temp = convertTo1D(temp);
}
trainingSet.Add(temp);
labels.Add(label);
} catch (Exception e) {}
}
}
FaceRecognizer fr = null;
if (recognizer == 0)
{
fr = new ModularFaceRecognitionAlgorithms(trainingSet, labels, 200, 16, trainNums);
}
else if (recognizer == 1)
{
fr = new EigenFaceRecognizer(trainingSet, labels, 40);
}
else if (recognizer == 2)
{
fr = new LinearDescriminantAnalysis(trainingSet, labels);
}
else if (recognizer == 3)
{
fr = new LaplacianFaceRecognizer(trainingSet, labels, 20);
}
fr.saveTrainingData(@"E:\trainLPP.txt");
}
