private FaceService CreateFaceService()
{
var userId = Guid.Parse(User.Identity.GetUserId());
var faceService = new FaceService(userId);
return(faceService);
}
public IHttpActionResult Get(int id)
{
FaceService faceService = CreateFaceService();
var face = faceService.GetFaceById(id);
return(Ok(face));
}
public IHttpActionResult Get()
{
FaceService faceService = CreateFaceService();
var faces = faceService.GetFaces();
return(Ok(faces));
}
public ReadyMainPage()
{
InitializeComponent();
_faceService = new FaceService();
_faceService.Init("");
}
public async Task <JsonResult> RegisterFace(string base64String)
{
try
{
if (!string.IsNullOrEmpty(base64String))
{
var imageParts = base64String.Split(',').ToList <string>();
byte[] imgdata = Convert.FromBase64String(imageParts[1]);
//DateTime nm = DateTime.Now;
//Guid newGuide = Guid.NewGuid();
//string date = nm.ToString("yyyymmddMMss");
//string fileName = $"{date}-{newGuide}-NewCapture.jpg";
//var path = Server.MapPath("~/FaceUploads/" + fileName);
//System.IO.File.WriteAllBytes(path, imageBytes);
//var imageUrl = HostingEnvironment.MapPath("~/FaceUploads/");
//var imgdata = new WebClient().DownloadData(imageUrl + fileName);
//var response = await MakeAnalysisRequest(imageBytes);
await FaceService.CreatePersonAsync("Tharaka", string.Empty, imgdata);
return(Json("success", JsonRequestBehavior.AllowGet));
}
else
{
return(Json(false, JsonRequestBehavior.AllowGet));
}
}
catch (Exception ex)
{
return(Json(ex, JsonRequestBehavior.AllowGet));
}
}
public async Task InitializeAsync()
{
try
{
IsLoading = true;
if (FaceService == null)
{
FaceService = await FaceServiceHelper.CreateNewFaceServiceAsync();
}
var personGroupResult = await FaceService.ListPersonGroupsAsync();
personGroupResult.OrderBy(pg => pg.Name);
personGroupResult.ForEach(pg => PersonGroups.Add(pg));
IsLoading = false;
}
catch (FaceAPIException ex)//Handle API-Exception
{
await MessageDialogHelper.MessageDialogAsync(ex.ErrorMessage);
}
catch (Exception ex)
{
await MessageDialogHelper.MessageDialogAsync(ex.Message);
}
}
public MainPageViewModel()
{
service = new FaceService();
PickPhotoCommand = new Command(async() => await PickPhoto());
TakePhotoCommand = new Command(async() => await TakePhoto());
AnalyzeCommand = new Command(async() => await Analyze());
}
/// <summary>
/// Loads groups and cleanup the ObservableCollection
/// </summary>
/// <returns></returns>
private async Task LoadGroupsAsync()
{
PersonGroups.Clear();
var fscPersonGroups = await FaceService.ListPersonGroupsAsync();
fscPersonGroups.OrderBy(pg => pg.Name).ForEach(pg => PersonGroups.Add(pg));
}
private async Task ExecuteAddPersonCommandAsync()
{
try
{
if (string.IsNullOrEmpty(PersonToAdd))
{
throw new ArgumentNullException(nameof(GroupToAdd), "Please enter a person name.");
}
if (SelectedGroupToAddPerson == null)
{
throw new ArgumentNullException(nameof(SelectedGroupToAddPerson), "Please select a group.");
}
await FaceService.CreatePersonAsync(SelectedGroupToAddPerson.PersonGroupId, PersonToAdd);
await MessageDialogHelper.MessageDialogAsync($"'{PersonToAdd}' successfully added.");
//Cleanup UI
PersonToAdd = string.Empty;
if (SelectedPersonGroup != null) //Load Persons if some selected a group
{
await LoadPersonsOfGroupAsync(SelectedPersonGroup.PersonGroupId);
}
}
catch (Exception ex)
{
var dialog = new MessageDialog(ex.Message, "Fehler");
await dialog.ShowAsync();
}
}
public GraphicFaceTracker(GraphicOverlay overlay, CameraSource cameraSource, FaceService faceService)
{
this.overlay = overlay;
this.faceGraphic = new FaceGraphic(overlay);
this.cameraSource = cameraSource;
this.faceService = faceService;
}
static void Main(string[] args)
{
var faceImage = "https://pbs.twimg.com/profile_images/747601253266395136/2HeCGdiG_400x400.jpg";
var ocrImage = "https://pbs.twimg.com/media/DtdfaSeVsAAeRis.jpg";
var colluptUrl = "xxxxxxxx";
Console.WriteLine("Cognitive Services - Face - DetectFace\n");
var faceClient = new FaceService();
var faces = faceClient.GetRemoteEmotionsAsync(colluptUrl).Result;
Console.WriteLine($"Detected: {faces.Count} Person.");
foreach (var face in faces)
{
Console.WriteLine($"Emotion Result: \nAge:{face.Age} Gender:{face.Gender} Happiness:{face.Happiness}%\n\n");
}
Console.WriteLine("Cognitive Services - ComputerVision - OCR\n");
var computerVisionClient = new ComputerVisionService();
var regions = computerVisionClient.ExtractRemoteTextAsync(ocrImage).Result;
Console.WriteLine($"Detedted: {regions.Count} Regions");
foreach (var region in regions)
{
Console.WriteLine($"OCR Result:\n{region}\n\n");
}
Console.ReadLine();
}
public CameraFeedViewModel()
{
User.FirstName = "John";
User.LastName = "Doe";
var sqlContext = new SqliteContext();
_userService = new UserService(sqlContext);
_faceService = new FaceService();
Windows.ApplicationModel.Core.CoreApplication.MainView.CoreWindow.Dispatcher.RunAsync(CoreDispatcherPriority.High, async() =>
{
try
{
await InitializeCamera();
ApiOfflineText = "";
}
catch (Exception ex)
{
if (ex is System.Net.Http.HttpRequestException)
{
ApiOfflineText = "Offline";
}
Debug.WriteLine(ex.Message);
}
});
}
protected BaseController()
{
this.FaceServiceClient = new FaceServiceClient(Config.FaceServiceClientKey, Config.FaceServiceApiRoot);
this.EmotionService = new EmotionService();
this.FaceService = new FaceService(this.FaceServiceClient);
this.SlackService = new SlackService();
}
public string IdentifyTag(Guid tagId, Guid personId)
{
IFaceService faceService = new FaceService();
faceService.IdentifyTagAsync(tagId, personId);
return("OK");
}
/// <summary>
/// Loads persons and cleanup ObservableCollection
/// </summary>
/// <returns></returns>
private async Task LoadPersonsOfGroupAsync(string groupID)
{
Persons.Clear();
var persons = await FaceService.ListPersonsAsync(groupID);
persons.OrderBy(p => p.Name).ForEach(p => Persons.Add(p));
}
public FaceMorph()
{
apiKey = "847e6315f892e21449da5f4077c5104f";
apiSecret = "BmskojfFyrZVQhkLfNSnRzX-lK8musO6";
faceService = new FaceService(apiKey, apiSecret);
srcLandmark = new List <System.Drawing.Point>();
dstLandmark = new List <System.Drawing.Point>();
itermediateLandmark = new List <System.Drawing.Point>();
}
public FaceMorph()
{
apiKey = "847e6315f892e21449da5f4077c5104f";
apiSecret = "BmskojfFyrZVQhkLfNSnRzX-lK8musO6";
faceService = new FaceService(apiKey, apiSecret);
srcLandmark = new List<System.Drawing.Point>();
dstLandmark = new List<System.Drawing.Point>();
itermediateLandmark = new List<System.Drawing.Point>();
}
public void GetImageAsByteArray_ShouldReturnNullWithInvalidFilePath(string filePath)
{
// Arrange
FaceService svc = new FaceService();
// Act
byte[] result = svc.GetImageAsByteArray(filePath);
// Assert
Assert.Null(result);
}
public void GetImageUriContent_ShouldReturnNullWithEmptyOrNullUri(string uri)
{
// Arrange
FaceService svc = new FaceService();
// Act
var result = svc.GetImageUriContent(uri);
// Assert
Assert.Null(result);
}
public void ValidateFileSize_ShouldReturnFalseWithInvalidFilePath(string filePath)
{
// Arrange
FaceService svc = new FaceService();
// Act
bool result = svc.ValidateFileSize(filePath);
// Assert
Assert.False(result);
}
/// <summary>
/// Handle a face detected event
/// </summary>
/// <param name="sender"></param>
/// <param name="args"></param>
private async void FaceDetectionEffect_FaceDetected(FaceDetectionEffect sender, FaceDetectedEventArgs args)
{
// Only run one face detection call to Cognitive Services at a time
if (!_isRecognizing)
{
//If we need the box for the detected face we can get them here
//foreach (Windows.Media.FaceAnalysis.DetectedFace face in args.ResultFrame.DetectedFaces)
//{
// BitmapBounds faceRect = face.FaceBox;
//}
_isRecognizing = true;
var lowLagCapture = await _mediaCapture.PrepareLowLagPhotoCaptureAsync(ImageEncodingProperties.CreateUncompressed(MediaPixelFormat.Bgra8));
var capturedPhoto = await lowLagCapture.CaptureAsync();
var softwareBitmap = capturedPhoto.Frame.SoftwareBitmap;
await lowLagCapture.FinishAsync();
using (IRandomAccessStream randomAccessStream = new InMemoryRandomAccessStream())
{
BitmapEncoder encoder = await BitmapEncoder.CreateAsync(BitmapEncoder.JpegEncoderId, randomAccessStream);
encoder.SetSoftwareBitmap(softwareBitmap);
await encoder.FlushAsync();
var stream = randomAccessStream.AsStreamForRead();
try
{
//This call the Cognitive Services face API to detect the faces
var faces = await FaceService.DetectAsync(stream, true, false);
List <Guid> faceList = new List <Guid>();
foreach (var face in faces)
{
faceList.Add(face.FaceId);
}
LastFaces = faceList.ToArray();
}
catch
{
//We could not detect faces using Cognitive Services
}
}
_isRecognizing = false;
}
}
public async Task GetFaceResult_ShouldReturnResultSuccessFalseWithNullHttpResponse()
{
// Arrange
FaceService svc = new FaceService();
// Act
FaceServiceResult result = await svc.GetFaceResult(null);
// Assert
Assert.NotNull(result);
Assert.False(result.Succeeded);
}
public void GetImagePayload_ShouldReturnNullWithEmptyByteArray()
{
// Arrange
byte[] bytes = { };
FaceService svc = new FaceService();
// Act
ByteArrayContent result = svc.GetImagePayload(bytes);
// Assert
Assert.Null(result);
}
public async Task ProcessImageAtLocal_ShouldReturnResultSuccessFalseWithInvalidFilePath(string filePath)
{
// Arrange
FaceService svc = new FaceService();
// Act
FaceServiceResult result = await svc.ProcessImageAtLocal(filePath);
// Assert
Assert.NotNull(result);
Assert.False(result.Succeeded);
}
public void ApiKey_ShouldSet()
{
// Arrange
string expected = Guid.NewGuid().ToString();
FaceService svc = new FaceService();
// Act
svc.ApiKey = expected;
// Assert
Assert.Equal(expected, svc.ApiKey);
}
private void InitService(AccessService accessService, String projectId)
{
this.compareService = new CompareService(accessService, projectId);
this.detectService = new DetectService(accessService, projectId);
this.faceService = new FaceService(accessService, projectId);
this.faceSetService = new FaceSetService(accessService, projectId);
this.liveDetectService = new LiveDetectService(accessService, projectId);
this.qualityService = new QualityService(accessService, projectId);
this.searchService = new SearchService(accessService, projectId);
this.apiCollectionV2 = new ApiCollectionV2(accessService, projectId);
}
public MainWindow()
{
InitializeComponent();
faceService = new FaceService("2affcadaeddd18f422375adc869f3991", "EsU9hmgweuz8U-nwv6s4JP-9AJt64vhz");
savePath = settings.SaveLocation;
detectPath = settings.DetectLocation;
Loaded += MainWindow_Loaded;
this.saveImagesElement.ItemsSource = saveImages;
this.detectResultElement.ItemsSource = DetectFaceInfos;
DocumentStore = new DocumentStore {Url = "http://localhost:8080/"};
}
public async Task ProcessImageAtUrl_ShouldReturnResultSuccessFalseWithInvalidUri(string uri)
{
// Arrange
FaceService svc = new FaceService();
// Act
FaceServiceResult result = await svc.ProcessImageAtUrl(uri);
// Assert
Assert.NotNull(result);
Assert.False(result.Succeeded);
}
public BaiduFace()
{
InitializeComponent();
_faceService = new FaceService();
btnSelect.Click += BtnSelect_Click;
btnRegister.Click += BtnRegister_Click;
btnVerify.Click += BtnVerify_Click;
btnDelete.Click += BtnDelete_Click;
btnIdentify.Click += BtnIdentify_Click;
btnUpdate.Click += BtnUpdate_Click;
btnFaceMatch.Click += BtnFaceMatch_Click;
}
public async Task ProcessImageAsByteArray_ShouldReturnResultSuccessFalseWithNullByteArray()
{
// Arrange
byte[] bytes = null;
FaceService svc = new FaceService();
// Act
FaceServiceResult result = await svc.ProcessImageAsByteArray(bytes);
// Assert
Assert.NotNull(result);
Assert.False(result.Succeeded);
}
public async Task <IActionResult> DeleteAsync()
{
try
{
await FaceService.Delete(Client);
} catch (Exception ex)
{
_logger.LogError(ex.ToString());
return(BadRequest(new { Error = ex.Message }));
}
return(Ok(new { Info = "Face List Deleted" }));
}
public async Task <IActionResult> Get()
{
var detected = await FaceService.Detect(Client, @"https://localhost:5001/assets/family.jpg", FaceService.RECOGNITION_MODEL1);
var files = new List <string>();
var fileEntries = Directory.GetFiles(ASSETS);
foreach (var file in fileEntries)
{
files.Add($"/assets/{Path.GetFileName(file)}");
}
return(Ok(new { Images = files, Detected = detected }));
}
static void Main(string[] args)
{
String apiKey = "847e6315f892e21449da5f4077c5104f";
String apiSecret = "BmskojfFyrZVQhkLfNSnRzX-lK8musO6";
FaceService faceService = new FaceService(apiKey, apiSecret);
string filePath = "D:\\Codes\\datasets\\face_morph\\bbt.jpg";
DetectResult detectResult = faceService.Detection_DetectImg(filePath);
Image<Bgr, Byte> srcImg = new Image<Bgr, Byte>(filePath);
for(int cnt=0; cnt < detectResult.face.Count; cnt++)
{
string pointFileName = String.Format("D:\\Codes\\datasets\\face_morph\\result_bbt_face_{0}.txt", cnt);
FileStream fileStream = new FileStream(pointFileName, FileMode.Create);
StreamWriter streamWriter = new StreamWriter(fileStream);
Rectangle faceRect = new Rectangle(
(int)(detectResult.face[cnt].position.center.x * srcImg.Width /100 - detectResult.face[cnt].position.width * srcImg.Width * 0.5 / 100),
(int)(detectResult.face[cnt].position.center.y * srcImg.Height / 100 - detectResult.face[cnt].position.height * srcImg.Height * 0.5 / 100),
(int)detectResult.face[cnt].position.width * srcImg.Width / 100,
(int)detectResult.face[cnt].position.height * srcImg.Height / 100);
Image<Bgr, byte> faceImg = srcImg.GetSubRect(faceRect);
string fileName = String.Format("D:\\Codes\\datasets\\face_morph\\result_bbt_face_{0}.jpg", cnt);
faceImg.Save(fileName);
IList<FaceppSDK.Point> featurePoints = new List<FaceppSDK.Point>();
//featurePoints.Add(detectResult.face[cnt].position.center);
FaceppSDK.Point tempPoint1 = new FaceppSDK.Point();
tempPoint1.x = (detectResult.face[cnt].position.eye_left.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint1.y = (detectResult.face[cnt].position.eye_left.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint1);
FaceppSDK.Point tempPoint2 = new FaceppSDK.Point();
tempPoint2.x = (detectResult.face[cnt].position.eye_right.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint2.y = (detectResult.face[cnt].position.eye_right.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint2);
FaceppSDK.Point tempPoint3 = new FaceppSDK.Point();
tempPoint3.x = (detectResult.face[cnt].position.mouth_left.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint3.y = (detectResult.face[cnt].position.mouth_left.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint3);
FaceppSDK.Point tempPoint4 = new FaceppSDK.Point();
tempPoint4.x = (detectResult.face[cnt].position.mouth_right.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint4.y = (detectResult.face[cnt].position.mouth_right.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint4);
FaceppSDK.Point tempPoint5 = new FaceppSDK.Point();
tempPoint5.x = (detectResult.face[cnt].position.nose.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint5.y = (detectResult.face[cnt].position.nose.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint5);
foreach (FaceppSDK.Point featurePoint in featurePoints)
{
streamWriter.WriteLine(featurePoint.x.ToString());
streamWriter.WriteLine(featurePoint.y.ToString());
System.Drawing.PointF point = new System.Drawing.PointF((float)featurePoint.x * srcImg.Width / 100,
(float)featurePoint.y * srcImg.Height / 100);
Cross2DF cross = new Cross2DF(point, (float)3.0, (float)3.0);
srcImg.Draw(cross, new Bgr(0, 255, 0), 3);
}
streamWriter.Flush();
streamWriter.Close();
fileStream.Close();
//srcImg.Save("D:\\Codes\\datasets\\face_morph\\result_bbt.jpg");
}
}
