public FreeTypeSource(byte[] data)
{
Error err;
if (_libraryHandle == IntPtr.Zero)
{
IntPtr libraryRef;
err = FTNative.FT_Init_FreeType(out libraryRef);
if (err != Error.Ok)
{
throw new FreeTypeException(err);
}
_libraryHandle = libraryRef;
}
_memoryHandle = GCHandle.Alloc(data, GCHandleType.Pinned);
IntPtr faceRef;
err = FTNative.FT_New_Memory_Face(_libraryHandle, _memoryHandle.AddrOfPinnedObject(), data.Length, 0, out faceRef);
if (err != Error.Ok)
{
throw new FreeTypeException(err);
}
_faceHandle = faceRef;
_rec = PInvokeHelper.PtrToStructure <FaceRec>(_faceHandle);
}
public static FacesRec JsonToFacesRec(string txt)
{
try
{
var jFacesRec = JObject.Parse(txt);
var rec = new FacesRec();
rec.primary_gender = StringToGender((string)jFacesRec["primary_gender"]);
rec.majority_gender = StringToGender((string)jFacesRec["majority_gender"]);
rec.faces = new List <FaceRec>();
foreach (var jfaces in jFacesRec["objects"])
{
var face = new FaceRec();
face.id = StringToInt((string)jfaces["id"]);
face.age = (int)StringToFloat((string)jfaces["age"]);
face.gender = StringToGender((string)jfaces["gender"]);
rec.faces.Add(face);
}
return(rec);
}
catch (Exception ex)
{
var newEx = new Exception("Invalid JSON data format returned for 'State'.", ex);
throw newEx;
}
}
private void Work(FaceRec fr)
{
fr.FrameGrabber(null, null);
if (fr.Verification == "Verified")
{
IsVerified = true;
Close();
}
}
private void Window_Loaded(object sender, RoutedEventArgs e)
{
System.Windows.Forms.Integration.WindowsFormsHost.EnableWindowsFormsInterop();
FaceRec fr = new FaceRec(card);
// fr.Dock = System.Windows.Forms.DockStyle.Fill;
FaceRecognition.Child = fr;
timer = new DispatcherTimer
(
TimeSpan.FromMilliseconds(50),
DispatcherPriority.ApplicationIdle, // Or DispatcherPriority.SystemIdle
(s, r) => Work(fr),
Application.Current.Dispatcher
);
}
public bool GetMostRelevantUserInfo(out int age, out Gender gender)
{
ValidateIsBound();
age = 0;
gender = Gender.Unknown;
var client = new LookRestClient(_device, _port, _username, _password);
string body = null;
var responseCode = client.GetFaces(out body);
Trace.TraceInformation("\nRaw JSON data: {0}", body);
FacesRec rec = JsonHelper.JsonToFacesRec(body);
if (rec.faces.Count < 1)
{
return(false);
}
FaceRec primaryFace = null;
foreach (var item in rec.faces)
{
if (primaryFace == null)
{
primaryFace = item;
continue;
}
if (item.id < primaryFace.id)
{
primaryFace = item;
}
}
age = primaryFace.age;
gender = primaryFace.gender;
return(responseCode == System.Net.HttpStatusCode.OK);
}
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");
}
public bool buildFont()
{
int error = 0;
IntPtr libptr = IntPtr.Zero;
IntPtr faceptr = IntPtr.Zero;
error = FT.Init_FreeType(out libptr);
if (error != 0)
{
System.Console.WriteLine("FT_Init_FreeType failed");
return(false);
}
int[] maj = new int[1];
int[] min = new int[1];
int[] patch = new int[1];
FT.Library_Version(libptr, maj, min, patch);
System.Console.WriteLine("Freetype Version {0}.{1}.{2}", maj[0], min[0], patch[0]);
error = FT.New_Face(libptr, myFilename, 0, out faceptr);
if (error == FT.Err_Unknown_File_Format)
{
System.Console.WriteLine("FT_New_Face Failed: Unknown Font Format");
return(false);
}
else if (error != 0)
{
System.Console.WriteLine("FT_New_Face Failed: Unknown Error: " + error);
return(false);
}
//set the size of the Font in pixels
error = FT.Set_Pixel_Sizes(faceptr, (uint)0, (uint)mySize);
if (error != 0)
{
System.Console.WriteLine("FT_Set_Pixel_Sizes Failed: Unknown Error: " + error);
return(false);
}
texture = new Texture(1024, 1024); //should be big enough for most sized fonts
uint glyphIndex;
uint asciiCounter;
//only going to get ascii characters at this time
//32 128
for (asciiCounter = 32; asciiCounter < 128; asciiCounter++)
{
//get the character loaded
glyphIndex = FT.Get_Char_Index(faceptr, asciiCounter);
error = FT.Load_Glyph(faceptr, glyphIndex, FT.LOAD_RENDER);
if (error != 0)
{
System.Console.WriteLine("FT_Load_Glyph Failed: Unknown Error: " + error);
return(false);
}
//copy to our Texture and update the myGlyph data structure
FaceRec f = (FaceRec)Marshal.PtrToStructure(faceptr, typeof(FaceRec));
GlyphSlotRec g = (GlyphSlotRec)Marshal.PtrToStructure(f.glyph, typeof(GlyphSlotRec));
addGlyph(g, (int)asciiCounter);
}
FT.Done_Face(faceptr);
FT.Done_FreeType(libptr);
return(true);
}
