private static void TestPerformanceBig()
{
//Khoi tao 9 bo face recognizer
Console.WriteLine("We will load a dumb training data with 600 images.");
Console.Write("Press Enter to begin: ");
Console.ReadLine();
FaceRecognizers = new List <FaceRecognizer>();
FaceRecognizers.Add(new EigenFaceRecognizer(80, 2000));
FaceRecognizers.Add(new EigenFaceRecognizer(80, 3500));
FaceRecognizers.Add(new EigenFaceRecognizer(80, 5000));
FaceRecognizers.Add(new FisherFaceRecognizer(80, 500));
FaceRecognizers.Add(new FisherFaceRecognizer(80, 1000));
FaceRecognizers.Add(new FisherFaceRecognizer(80, 1500));
FaceRecognizers.Add(new LBPHFaceRecognizer(1, 8, 8, 9, 50));
FaceRecognizers.Add(new LBPHFaceRecognizer(1, 8, 8, 9, 100));
FaceRecognizers.Add(new LBPHFaceRecognizer(1, 8, 8, 9, 150));
String TrainingDataFolderPath = @"C:\Users\Hoang\Documents\Visual Studio 2010\Projects\RollSystemMobile\FaceRecAutomationTesting\Training Datas\DumbTrainingData";
//Bat dau tinh thoi gian add 600 tam hinh vao bo nho
DateTime Start = DateTime.Now;
List <Image <Gray, byte> > ImageList = new List <Image <Gray, byte> >();
List <int> IDList = new List <int>();
var FilePaths = Directory.GetFiles(TrainingDataFolderPath, "*.jpg", SearchOption.TopDirectoryOnly);
foreach (var FilePath in FilePaths)
{
Image <Gray, byte> Image = new Image <Gray, byte>(FilePath);
Image._EqualizeHist();
ImageList.Add(Image);
Console.WriteLine("\tLoad Images: " + FilePath);
int ID = int.Parse(Path.GetFileNameWithoutExtension(FilePath)) / 20 + 1;
IDList.Add(ID);
}
TimeSpan TimeDiff = DateTime.Now - Start;
Console.WriteLine("Time to load 600 images to memory is: " + TimeDiff.TotalMilliseconds / 1000 + " seconds");
Console.WriteLine("Now we will begin to train our face recognizer");
Console.Write("Press Enter to continue: ");
Console.ReadLine();
Start = DateTime.Now;
Image <Gray, byte>[] ImageArray = ImageList.ToArray();
int[] IDArray = IDList.ToArray();
int i = 1;
foreach (var FaceRec in FaceRecognizers)
{
FaceRec.Train(ImageArray, IDArray);
Console.WriteLine(i + " Recognizers Trained.");
i++;
}
TimeDiff = DateTime.Now - Start;
Console.WriteLine("Time to trains 9 recognizer is: " + TimeDiff.TotalMilliseconds / 1000 + " seconds");
Console.WriteLine("Now we will test the recognizer performance. With a folder of 400 faces");
Console.Write("Press Enter to continue: ");
Console.ReadLine();
String TestDataFolderPath = @"C:\Users\Hoang\Documents\Visual Studio 2010\Projects\RollSystemMobile\FaceRecAutomationTesting\TestData\Dump TestData";
Console.WriteLine("Creating the list of test image");
List <Image <Gray, byte> > TestImageList = new List <Image <Gray, byte> >();
foreach (var FilePath in Directory.GetFiles(TestDataFolderPath, "*.jpg", SearchOption.TopDirectoryOnly))
{
Image <Gray, byte> Image = new Image <Gray, byte>(FilePath);
Image._EqualizeHist();
TestImageList.Add(Image);
}
foreach (var FaceRec in FaceRecognizers)
{
Console.WriteLine("Begin test with face recognizer: " + FaceRec.GetType().ToString());
Start = DateTime.Now;
i = 1;
foreach (var Image in TestImageList)
{
FaceRec.Predict(Image);
Console.WriteLine("\tRecognized " + i + " images.");
i++;
}
TimeDiff = DateTime.Now - Start;
Console.WriteLine("Time to recognize 200 images is: " + TimeDiff.TotalMilliseconds / 1000 + " seconds");
Console.Write("Press Enter to continue: ");
Console.ReadLine();
}
}
private static void TestGenderRecognitionAccuracy(int NumberOfTrainingImage)
{
//Khoi tao 9 bo face recognizer
FaceRecognizers = new List <FaceRecognizer>();
FaceRecognizers.Add(new EigenFaceRecognizer(80, 2000));
FaceRecognizers.Add(new EigenFaceRecognizer(80, 3500));
//Can't recognize unknown
FaceRecognizers.Add(new EigenFaceRecognizer(80, 8000));
FaceRecognizers.Add(new FisherFaceRecognizer(80, 500));
FaceRecognizers.Add(new FisherFaceRecognizer(80, 1000));
//Can't recognize unknown
FaceRecognizers.Add(new FisherFaceRecognizer(80, 2500));
FaceRecognizers.Add(new LBPHFaceRecognizer(1, 8, 8, 9, 50));
FaceRecognizers.Add(new LBPHFaceRecognizer(1, 8, 8, 9, 100));
//Can't recognize unknown
FaceRecognizers.Add(new LBPHFaceRecognizer(1, 8, 8, 9, 250));
List <TestSingleResult> Results = new List <TestSingleResult>();
Console.WriteLine("This time we will check the accuracy of the 3 algorithm.");
Console.Write("Press Enter to continue: ");
Console.ReadLine();
NameList = new string[] { "Nam", "Nu" }.ToList();
String TrainingDataPath = @"C:\Users\Hoang\Documents\Visual Studio 2010\Projects\RollSystemMobile\FaceRecAutomationTesting\Gender Recognition\Training Data";
List <Image <Gray, byte> > TrainingImageList = new List <Image <Gray, byte> >();
List <int> IDList = new List <int>();
Console.WriteLine("Begin Training Face Recognizer");
foreach (var FilePath in Directory.GetFiles(TrainingDataPath, "*.jpg", SearchOption.TopDirectoryOnly))
{
foreach (var PersonName in NameList)
{
String ImageName = GetResult(FilePath);
int ID = NameList.IndexOf(ImageName);
if (ID != -1 && ImageName.Equals(PersonName) && IDList.Count(num => num == ID) < NumberOfTrainingImage)
{
Image <Gray, byte> Image = new Image <Gray, byte>(FilePath);
Image._EqualizeHist();
TrainingImageList.Add(Image);
IDList.Add(ID);
}
}
}
foreach (var FaceRec in FaceRecognizers)
{
FaceRec.Train(TrainingImageList.ToArray(), IDList.ToArray());
}
Console.WriteLine(TrainingImageList.Count + " images loaded.");
Console.Write("Press Enter to continue: ");
Console.ReadLine();
Console.WriteLine("Begin Testing Recognition:");
String TestDataPath = @"C:\Users\Hoang\Documents\Visual Studio 2010\Projects\RollSystemMobile\FaceRecAutomationTesting\Gender Recognition\Test Data";
int imageRecognized = 1;
foreach (var FilePath in Directory.GetFiles(TestDataPath, "*.jpg", SearchOption.TopDirectoryOnly))
{
//Load hinh tu duong dan
Image <Gray, byte> Face = new Image <Gray, byte>(FilePath);
Face._EqualizeHist();
//Lay result tu ten file
TestSingleResult TestResult = new TestSingleResult();
TestResult.Result = GetResult(FilePath);
//Lay 9 ket qua tu eigen face, set vao object
//Lay 9 properties cua result, tuong ung voi 9 bo face recognizer
var Properties = TestResult.GetType().GetProperties();
for (int i = 0; i < FaceRecognizers.Count; i++)
{
FaceRecognizer.PredictionResult PR = FaceRecognizers.ElementAt(i).Predict(Face);
String NameFound = PR.Label == -1 ? "Unknown" : NameList.ElementAt(PR.Label);
Properties[i].SetValue(TestResult, NameFound, null);
}
//Dua result da tim dc vao danh sach, sau nay tinh tiep
Results.Add(TestResult);
Console.WriteLine(imageRecognized + " images recognized");
imageRecognized++;
}
Console.Write("Completed. Enter path to export report: ");
String ReportPath = Console.ReadLine();
String MixedFilePath = ReportPath + "Mixed.txt";
String MixedResultString = GetResultString(Results);
System.IO.File.WriteAllText(MixedFilePath, MixedResultString, Encoding.UTF8);
String KnownFilePath = ReportPath + "Known.txt";
String KnownResultString = GetResultString(Results.Where(result => !result.Result.Equals("Unknown")).ToList());
System.IO.File.WriteAllText(KnownFilePath, KnownResultString, Encoding.UTF8);
String UnknownFilePath = ReportPath + "Unknown.txt";
String UnknownResultString = GetResultString(Results.Where(result => result.Result.Equals("Unknown")).ToList());
System.IO.File.WriteAllText(UnknownFilePath, UnknownResultString, Encoding.UTF8);
Console.Write("Done");
}
