/// <summary>
/// Pick image folder and detect all faces in these images
/// </summary>
/// <param name="sender">Event sender</param>
/// <param name="e">Event arguments</param>
private async void FolderPicker_Click(object sender, RoutedEventArgs e)
{
bool groupExists = false;
var faceServiceClient = FaceServiceClientHelper.GetInstance(this);
try
{
MainWindow.Log("Request: Large Face List {0} will be used to build a person database. Checking whether the large face list exists.", _largeFaceListName);
await faceServiceClient.LargeFaceList.GetAsync(_largeFaceListName);
groupExists = true;
MainWindow.Log("Response: Large Face List {0} exists.", _largeFaceListName);
}
catch (APIErrorException ex)
{
if (ex.Body.Error.Code != "LargeFaceListNotFound")
{
MainWindow.Log("Response: {0}. {1}", ex.Body.Error.Code, ex.Body.Error.Message);
return;
}
else
{
MainWindow.Log("Response: Large Face List {0} did not exist previously.", _largeFaceListName);
}
}
if (groupExists)
{
var cleanFaceList = System.Windows.MessageBox.Show(string.Format("Requires a clean up for large face list \"{0}\" before setting up a new large face list. Click OK to proceed, large face list \"{0}\" will be cleared.", _largeFaceListName), "Warning", MessageBoxButton.OKCancel);
if (cleanFaceList == MessageBoxResult.OK)
{
await faceServiceClient.LargeFaceList.DeleteAsync(_largeFaceListName);
}
else
{
return;
}
}
OpenFaceButton.IsEnabled = false;
// Show folder picker
System.Windows.Forms.FolderBrowserDialog dlg = new System.Windows.Forms.FolderBrowserDialog();
var result = dlg.ShowDialog();
bool forceContinue = false;
if (result == System.Windows.Forms.DialogResult.OK)
{
// Enumerate all ".jpg" files in the folder, call detect
List <Task> tasks = new List <Task>();
FacesCollection.Clear();
TargetFaces.Clear();
FindSimilarMatchPersonCollection.Clear();
FindSimilarMatchFaceCollection.Clear();
SelectedFile = null;
// Set the suggestion count is intent to minimum the data preparation step only,
// it's not corresponding to service side constraint
const int SuggestionCount = 10;
int processCount = 0;
MainWindow.Log("Request: Preparing, detecting faces in chosen folder.");
await faceServiceClient.LargeFaceList.CreateAsync(_largeFaceListName, _largeFaceListName, "large face list for sample");
var imageList =
new ConcurrentBag <string>(
Directory.EnumerateFiles(dlg.SelectedPath, "*.*", SearchOption.AllDirectories)
.Where(s => s.ToLower().EndsWith(".jpg") || s.ToLower().EndsWith(".png") || s.ToLower().EndsWith(".bmp") || s.ToLower().EndsWith(".gif")));
string img;
int invalidImageCount = 0;
while (imageList.TryTake(out img))
{
tasks.Add(Task.Factory.StartNew(
async(obj) =>
{
var imgPath = obj as string;
// Call detection
using (var fStream = File.OpenRead(imgPath))
{
try
{
var faces =
await faceServiceClient.LargeFaceList.AddFaceFromStreamAsync(_largeFaceListName, fStream);
return(new Tuple <string, PersistedFace>(imgPath, faces));
}
catch (APIErrorException ex)
{
// if operation conflict, retry.
if (ex.Body.Error.Code.Equals("ConcurrentOperationConflict"))
{
imageList.Add(imgPath);
return(null);
}
// if operation cause rate limit exceed, retry.
else if (ex.Body.Error.Code.Equals("RateLimitExceeded"))
{
imageList.Add(imgPath);
return(null);
}
else if (ex.Body.Error.Message.Contains("more than 1 face in the image."))
{
Interlocked.Increment(ref invalidImageCount);
}
// Here we simply ignore all detection failure in this sample
// You may handle these exceptions by check the Error.Error.Code and Error.Message property for ClientException object
return(new Tuple <string, PersistedFace>(imgPath, null));
}
}
},
img).Unwrap().ContinueWith((detectTask) =>
{
var res = detectTask?.Result;
if (res?.Item2 == null)
{
return;
}
// Update detected faces on UI
this.Dispatcher.Invoke(
new Action
<ObservableCollection <Face>, string, PersistedFace>(
UIHelper.UpdateFace),
FacesCollection,
res.Item1,
res.Item2);
}));
processCount++;
if (processCount >= SuggestionCount && !forceContinue)
{
var continueProcess =
System.Windows.Forms.MessageBox.Show(
"The images loaded have reached the recommended count, may take long time if proceed. Would you like to continue to load images?",
"Warning", System.Windows.Forms.MessageBoxButtons.YesNo);
if (continueProcess == System.Windows.Forms.DialogResult.Yes)
{
forceContinue = true;
}
else
{
break;
}
}
if (tasks.Count >= _maxConcurrentProcesses || imageList.IsEmpty)
{
await Task.WhenAll(tasks);
tasks.Clear();
}
}
if (invalidImageCount > 0)
{
MainWindow.Log("Warning: more or less than one face is detected in {0} images, can not add to large face list.", invalidImageCount);
}
MainWindow.Log("Response: Success. Total {0} faces are detected.", FacesCollection.Count);
try
{
// Start to train the large face list.
MainWindow.Log("Request: Training large face list \"{0}\"", _largeFaceListName);
await faceServiceClient.LargeFaceList.TrainAsync(_largeFaceListName);
// Wait until the training is completed.
while (true)
{
await Task.Delay(1000);
var trainingStatus = await faceServiceClient.LargeFaceList.GetTrainingStatusAsync(_largeFaceListName);
MainWindow.Log("Response: {0}. Large face list \"{1}\" training process is {2}", "Success", _largeFaceListName, trainingStatus.Status);
if (trainingStatus.Status != TrainingStatusType.Running)
{
if (trainingStatus.Status == TrainingStatusType.Failed)
{
MainWindow.Log("Response: Training failed with message {0}.", trainingStatus.Message);
}
break;
}
}
OpenFaceButton.IsEnabled = true;
}
catch (APIErrorException ex)
{
MainWindow.Log("Response: {0}. {1}", ex.Body.Error.Code, ex.Body.Error.Message);
}
}
GC.Collect();
}
/// <summary>
/// open camera dialog
/// </summary>
/// <param name="sender">Event sender</param>
/// <param name="e">Event arguments</param>
private async void OpenCamera_Click(object sender, RoutedEventArgs e)
{
//OpenFaceButton.IsEnabled = false;
CameraOpen camera = new CameraOpen();
camera.ShowDialog();
//Microsoft.Win32.OpenFileDialog dlg = new Microsoft.Win32.OpenFileDialog();
//dlg.DefaultExt = ".jpg";
//dlg.Filter = "Image files (*.jpg, *.png, *.bmp, *.gif) | *.jpg; *.png; *.bmp; *.gif";
//var filePicker = dlg.ShowDialog();
//if (filePicker.HasValue && filePicker.Value)
//{
// User picked image
// Clear previous detection and find similar results
TargetFaces.Clear();
FindSimilarMatchPersonCollection.Clear();
FindSimilarMatchFaceCollection.Clear();
var sw = Stopwatch.StartNew();
var pickedImagePath = @"D:\3.jpg"; //dlg.FileName;
var renderingImage = UIHelper.LoadImageAppliedOrientation(pickedImagePath);
var imageInfo = UIHelper.GetImageInfoForRendering(renderingImage);
SelectedFile = renderingImage;
// Detect all faces in the picked image
using (var fStream = File.OpenRead(pickedImagePath))
{
MainWindow.Log("Request: Detecting faces in {0}", SelectedFile);
MainWindow mainWindow = Window.GetWindow(this) as MainWindow;
string subscriptionKey = mainWindow._scenariosControl.SubscriptionKey;
string endpoint = mainWindow._scenariosControl.SubscriptionEndpoint;
var faceServiceClient = new FaceServiceClient(subscriptionKey, endpoint);
var faces = await faceServiceClient.DetectAsync(fStream);
// Update detected faces on UI
foreach (var face in UIHelper.CalculateFaceRectangleForRendering(faces, MaxImageSize, imageInfo))
{
TargetFaces.Add(face);
}
MainWindow.Log("Response: Success. Detected {0} face(s) in {1}", faces.Length, SelectedFile);
// Find two modes similar faces for each face
foreach (var f in faces)
{
var faceId = f.FaceId;
MainWindow.Log("Request: Finding similar faces in Personal Match Mode for face {0}", faceId);
try
{
// Default mode, call find matchPerson similar REST API, the result contains all the face ids which is personal similar to the query face
const int requestCandidatesCount = 4;
var result = await faceServiceClient.FindSimilarAsync(faceId, faceid_list, requestCandidatesCount);
//faceServiceClient.F
// Update find matchPerson similar results collection for rendering
var personSimilarResult = new FindSimilarResult();
personSimilarResult.Faces = new ObservableCollection <Face>();
personSimilarResult.QueryFace = new Face()
{
ImageFile = SelectedFile,
Top = f.FaceRectangle.Top,
Left = f.FaceRectangle.Left,
Width = f.FaceRectangle.Width,
Height = f.FaceRectangle.Height,
FaceId = faceId.ToString(),
};
foreach (var fr in result)
{
var candidateFace = FacesCollection.First(ff => ff.FaceId == fr.FaceId.ToString());
Face newFace = new Face();
newFace.ImageFile = candidateFace.ImageFile;
newFace.Confidence = fr.Confidence;
newFace.FaceId = candidateFace.FaceId;
personSimilarResult.Faces.Add(newFace);
}
MainWindow.Log("Response: Found {0} similar faces for face {1}", personSimilarResult.Faces.Count, faceId);
FindSimilarMatchPersonCollection.Add(personSimilarResult);
}
catch (FaceAPIException ex)
{
MainWindow.Log("Response: {0}. {1}", ex.ErrorCode, ex.ErrorMessage);
}
try
{
// Call find facial match similar REST API, the result faces the top N with the highest similar confidence
const int requestCandidatesCount = 4;
var result = await faceServiceClient.FindSimilarAsync(faceId, faceid_list, FindSimilarMatchMode.matchFace, requestCandidatesCount);
// Update "matchFace" similar results collection for rendering
var faceSimilarResults = new FindSimilarResult();
faceSimilarResults.Faces = new ObservableCollection <Face>();
faceSimilarResults.QueryFace = new Face()
{
ImageFile = SelectedFile,
Top = f.FaceRectangle.Top,
Left = f.FaceRectangle.Left,
Width = f.FaceRectangle.Width,
Height = f.FaceRectangle.Height,
FaceId = faceId.ToString(),
};
foreach (var fr in result)
{
var candidateFace = FacesCollection.First(ff => ff.FaceId == fr.FaceId.ToString());
Face newFace = new Face();
newFace.ImageFile = candidateFace.ImageFile;
//Bitmap imag = new Bitmap();
//(candidateFace.ImageFile);
//g2.
// MainWindow.Log("Response: Found {0} similar faces for face {1}", , faceId);
newFace.Confidence = fr.Confidence;
newFace.Top = candidateFace.Top;
newFace.Left = candidateFace.Left;
newFace.Width = candidateFace.Width;
newFace.Height = candidateFace.Height;
newFace.FaceId = fr.FaceId.ToString();//candidateFace.FaceId;
faceSimilarResults.Faces.Add(newFace);
}
var candidate1 = FacesCollection.First(ff => ff.FaceId == result[0].FaceId.ToString());
Bitmap graph = new Bitmap(UIHelper.ImageSourceToBitmap(candidate1.ImageFile).Width, UIHelper.ImageSourceToBitmap(candidate1.ImageFile).Height);
Graphics g2 = Graphics.FromImage(graph);
g2.DrawImage(UIHelper.ImageSourceToBitmap(candidate1.ImageFile), 0, 0);
// Rectangle zuibiao = new Rectangle(f.FaceRectangle.Left, f.FaceRectangle.Top, f.FaceRectangle.Width, f.FaceRectangle.Height);
Rectangle zuibiao = new Rectangle(candidate1.Left, candidate1.Top, candidate1.Width, candidate1.Height);
//g2.DrawImageUnscaled(UIHelper.ImageSourceToBitmap(candidateFace.ImageFile),0,0);
g2.DrawImage(UIHelper.ImageSourceToBitmap(SelectedFile), zuibiao, f.FaceRectangle.Left, f.FaceRectangle.Top, f.FaceRectangle.Width, f.FaceRectangle.Height, GraphicsUnit.Pixel);
System.Drawing.Image saveImage = System.Drawing.Image.FromHbitmap(graph.GetHbitmap());
saveImage.Save(@"E:\hackathon\ls\cognitive-Face-Windows\data1\image1.jpg", ImageFormat.Jpeg);
Bitmap graph1 = new Bitmap(UIHelper.ImageSourceToBitmap(candidate1.ImageFile).Width, UIHelper.ImageSourceToBitmap(candidate1.ImageFile).Height);
Graphics g3 = Graphics.FromImage(graph1);
g3.DrawImage(UIHelper.ImageSourceToBitmap(candidate1.ImageFile), 0, 0);
System.Drawing.Image saveImage1 = System.Drawing.Image.FromHbitmap(graph1.GetHbitmap());
saveImage1.Save(@"E:\hackathon\ls\cognitive-Face-Windows\image1.jpg", ImageFormat.Jpeg);
MainWindow.Log("Response: Found {0} similar faces for face {1}", faceSimilarResults.Faces.Count, faceId);
MergeImage1 = getMergedPicture(@"D:\3.jpg", @"E:\hackathon\ls\cognitive-Face-Windows\image1.jpg");
//MergeImage1 = getMergedPicture("D:\\3.jpg", "D:\\1.jpg");
FindSimilarMatchFaceCollection.Add(faceSimilarResults);
/* MediaPlayer player = new MediaPlayer();
* player.Open(new Uri(media_name[candidate1.FaceId].Substring(0, media_name[candidate1.FaceId].Length - 4) + ".WAV", UriKind.Relative));
* player.Play();*/
Thread.Sleep(4000);
}
catch (FaceAPIException ex)
{
MainWindow.Log("Response: {0}. {1}", ex.ErrorCode, ex.ErrorMessage);
}
}
}
//}
//GC.Collect();
// OpenFaceButton.IsEnabled = false;
GC.Collect();
}
/// <summary>
/// Pick image and call find similar with both two modes for each faces detected
/// </summary>
/// <param name="sender">Event sender</param>
/// <param name="e">Event arguments</param>
private async void FindSimilar_Click(object sender, RoutedEventArgs e)
{
// Show file picker
Microsoft.Win32.OpenFileDialog dlg = new Microsoft.Win32.OpenFileDialog();
dlg.DefaultExt = ".jpg";
dlg.Filter = "Image files (*.jpg, *.png, *.bmp, *.gif) | *.jpg; *.png; *.bmp; *.gif";
var filePicker = dlg.ShowDialog();
if (filePicker.HasValue && filePicker.Value)
{
// User picked image
// Clear previous detection and find similar results
TargetFaces.Clear();
FindSimilarMatchPersonCollection.Clear();
FindSimilarMatchFaceCollection.Clear();
var sw = Stopwatch.StartNew();
var pickedImagePath = dlg.FileName;
var renderingImage = UIHelper.LoadImageAppliedOrientation(pickedImagePath);
var imageInfo = UIHelper.GetImageInfoForRendering(renderingImage);
SelectedFile = renderingImage;
// Detect all faces in the picked image
using (var fStream = File.OpenRead(pickedImagePath))
{
MainWindow.Log("Request: Detecting faces in {0}", SelectedFile);
var faceServiceClient = FaceServiceClientHelper.GetInstance(this);
IList <DetectedFace> faces = await faceServiceClient.Face.DetectWithStreamAsync(fStream);
// Update detected faces on UI
foreach (var face in UIHelper.CalculateFaceRectangleForRendering(faces, MaxImageSize, imageInfo))
{
TargetFaces.Add(face);
}
MainWindow.Log("Response: Success. Detected {0} face(s) in {1}", faces.Count, SelectedFile);
// Find two modes similar faces for each face
foreach (var f in faces)
{
if (f.FaceId == null)
{
continue;
}
var faceId = f.FaceId.Value;
MainWindow.Log("Request: Finding similar faces in Personal Match Mode for face {0}", faceId);
try
{
// Default mode, call find matchPerson similar REST API, the result contains all the face ids which is personal similar to the query face
const int requestCandidatesCount = 4;
IList <SimilarFace> result = await faceServiceClient.Face.FindSimilarAsync(
faceId,
null,
_largeFaceListName,
maxNumOfCandidatesReturned : requestCandidatesCount);
// Update find matchPerson similar results collection for rendering
var personSimilarResult = new FindSimilarResult();
personSimilarResult.Faces = new ObservableCollection <Face>();
personSimilarResult.QueryFace = new Face()
{
ImageFile = SelectedFile,
Top = f.FaceRectangle.Top,
Left = f.FaceRectangle.Left,
Width = f.FaceRectangle.Width,
Height = f.FaceRectangle.Height,
FaceId = faceId.ToString(),
};
foreach (var fr in result)
{
var candidateFace = FacesCollection.First(ff => ff.FaceId == fr.PersistedFaceId.ToString());
Face newFace = new Face();
newFace.ImageFile = candidateFace.ImageFile;
newFace.Confidence = fr.Confidence;
newFace.FaceId = candidateFace.FaceId;
personSimilarResult.Faces.Add(newFace);
}
MainWindow.Log("Response: Found {0} similar faces for face {1}", personSimilarResult.Faces.Count, faceId);
FindSimilarMatchPersonCollection.Add(personSimilarResult);
}
catch (APIErrorException ex)
{
MainWindow.Log("Response: {0}. {1}", ex.Body.Error.Code, ex.Body.Error.Message);
}
try
{
// Call find facial match similar REST API, the result faces the top N with the highest similar confidence
const int requestCandidatesCount = 4;
var result = await faceServiceClient.Face.FindSimilarAsync(
faceId,
null,
_largeFaceListName,
maxNumOfCandidatesReturned : requestCandidatesCount,
mode : FindSimilarMatchMode.MatchFace);
// Update "matchFace" similar results collection for rendering
var faceSimilarResults = new FindSimilarResult();
faceSimilarResults.Faces = new ObservableCollection <Face>();
faceSimilarResults.QueryFace = new Face()
{
ImageFile = SelectedFile,
Top = f.FaceRectangle.Top,
Left = f.FaceRectangle.Left,
Width = f.FaceRectangle.Width,
Height = f.FaceRectangle.Height,
FaceId = faceId.ToString(),
};
foreach (var fr in result)
{
var candidateFace = FacesCollection.First(ff => ff.FaceId == fr.PersistedFaceId.ToString());
Face newFace = new Face();
newFace.ImageFile = candidateFace.ImageFile;
newFace.Confidence = fr.Confidence;
newFace.FaceId = candidateFace.FaceId;
faceSimilarResults.Faces.Add(newFace);
}
MainWindow.Log("Response: Found {0} similar faces for face {1}", faceSimilarResults.Faces.Count, faceId);
FindSimilarMatchFaceCollection.Add(faceSimilarResults);
}
catch (APIErrorException ex)
{
MainWindow.Log("Response: {0}. {1}", ex.Body.Error.Code, ex.Body.Error.Message);
}
}
}
}
GC.Collect();
}
/// <summary>
/// Pick image folder and detect all faces in these images
/// </summary>
/// <param name="sender">Event sender</param>
/// <param name="e">Event arguments</param>
private async void FolderPicker_Click(object sender, RoutedEventArgs e)
{
MainWindow mainWindow = Window.GetWindow(this) as MainWindow;
string subscriptionKey = mainWindow._scenariosControl.SubscriptionKey;
string endpoint = mainWindow._scenariosControl.SubscriptionEndpoint;
var faceServiceClient = new FaceServiceClient(subscriptionKey, endpoint);
/*try
* {
* MainWindow.Log("Request: Face List {0} will be used to build a person database. Checking whether the face list exists.", _faceListName);
*
* await faceServiceClient.GetFaceListAsync(_faceListName);
* groupExists = true;
* MainWindow.Log("Response: Face List {0} exists.", _faceListName);
* }
* catch (FaceAPIException ex)
* {
* if (ex.ErrorCode != "FaceListNotFound")
* {
* MainWindow.Log("Response: {0}. {1}", ex.ErrorCode, ex.ErrorMessage);
* return;
* }
* else
* {
* MainWindow.Log("Response: Face List {0} did not exist previously.", _faceListName);
* }
* }
*
* if (groupExists)
* {
* var cleanFaceList = System.Windows.MessageBox.Show(string.Format("Requires a clean up for face list \"{0}\" before setting up a new face list. Click OK to proceed, face list \"{0}\" will be cleared.", _faceListName), "Warning", MessageBoxButton.OKCancel);
* if (cleanFaceList == MessageBoxResult.OK)
* {
* await faceServiceClient.DeleteFaceListAsync(_faceListName);
* }
* else
* {
* return;
* }
* }*/
OpenCameraButton.IsEnabled = false;
OpenFaceButton.IsEnabled = false;
// Show folder picker
//System.Windows.Forms.FolderBrowserDialog dlg = new System.Windows.Forms.FolderBrowserDialog();
//var result = dlg.ShowDialog();
//string file_path = @"D:\microsoftAPI\cognitive-Face-Windows\Data\PersonGroup\Family1-Mom";
string file_path = @"E:\hackathon\ls\cognitive-Face-Windows\data1";
bool forceContinue = false;
// if (result == System.Windows.Forms.DialogResult.OK)
if (System.IO.Directory.Exists(file_path))
{
// Enumerate all ".jpg" files in the folder, call detect
List <Task> tasks = new List <Task>();
FacesCollection.Clear();
//DetectionFacesCollection.Clear();
TargetFaces.Clear();
FindSimilarMatchPersonCollection.Clear();
FindSimilarMatchFaceCollection.Clear();
SelectedFile = null;
// Set the suggestion count is intent to minimum the data preparation step only,
// it's not corresponding to service side constraint
const int SuggestionCount = 10;
int processCount = 0;
MainWindow.Log("Request: Preparing, detecting faces in chosen folder.");
//await faceServiceClient.CreateFaceListAsync(_faceListName, _faceListName, "face list for sample");
var imageList =
new ConcurrentBag <string>(
Directory.EnumerateFiles(file_path /*dlg.SelectedPath*/, "*.*", SearchOption.AllDirectories)
.Where(s => s.ToLower().EndsWith(".jpg") || s.ToLower().EndsWith(".png") || s.ToLower().EndsWith(".bmp") || s.ToLower().EndsWith(".gif")));
string img;
int invalidImageCount = 0;
int i = 0;
while (imageList.TryTake(out img))
{
tasks.Add(Task.Factory.StartNew(
async(obj) =>
{
var imgPath = obj as string;
// Call detection
using (var fStream = File.OpenRead(imgPath))
{
try
{
/*var faces =
* await faceServiceClient.AddFaceToFaceListAsync(_faceListName, fStream);*/
// ProjectOxford.Face.Contract.Face[] faces = await faceServiceClient.DetectAsync(fStream, false, true, new FaceAttributeType[] { FaceAttributeType.Gender, FaceAttributeType.Age, FaceAttributeType.Smile, FaceAttributeType.Glasses, FaceAttributeType.HeadPose, FaceAttributeType.FacialHair, FaceAttributeType.Emotion, FaceAttributeType.Hair, FaceAttributeType.Makeup, FaceAttributeType.Occlusion, FaceAttributeType.Accessories, FaceAttributeType.Noise, FaceAttributeType.Exposure, FaceAttributeType.Blur });
var renderingImage = UIHelper.LoadImageAppliedOrientation(imgPath);
var imageInfo = UIHelper.GetImageInfoForRendering(renderingImage);
var faces1 = await faceServiceClient.DetectAsync(fStream);
// ObservableCollection<Face> detection_tmp = new ObservableCollection<Face>();
//faceServiceClient.
// Update detected faces on UI
//faces[0].FaceRectangle
foreach (var face in faces1)
{
// detection_tmp.Add(face);
//DetectionFacesCollection.
//_faceListName = _faceListName + "-" + face.FaceId;
faceid_list[i] = face.FaceId;
media_name.Add(face.FaceId.ToString(), imgPath);
i++;
//MainWindow.Log(" faceId", _faceListName);
// _faceListName.
//faceServiceClient.a
//var face_list = await faceServiceClient.AddFaceToFaceListAsync(_faceListName, File.OpenRead(face.ImageFile));
}
return(new Tuple <string, ClientContract.Face[]>(imgPath, faces1));
/*foreach (var face in faces)
* {
*
*
* }*/
}
catch (FaceAPIException ex)
{
// if operation conflict, retry.
if (ex.ErrorCode.Equals("ConcurrentOperationConflict"))
{
imageList.Add(imgPath);
return(null);
}
// if operation cause rate limit exceed, retry.
else if (ex.ErrorCode.Equals("RateLimitExceeded"))
{
imageList.Add(imgPath);
return(null);
}
/*else if (ex.ErrorMessage.Contains("more than 1 face in the image."))
* {
* Interlocked.Increment(ref invalidImageCount);
* }*/
// Here we simply ignore all detection failure in this sample
// You may handle these exceptions by check the Error.Error.Code and Error.Message property for ClientException object
return(new Tuple <string, ClientContract.Face[]>(imgPath, null));
}
}
},
img).Unwrap().ContinueWith((detectTask) =>
{
var res = detectTask?.Result;
if (res?.Item2 == null)
{
return;
}
// Update detected faces on UI
this.Dispatcher.Invoke(
new Action
<ObservableCollection <Face>, string, ClientContract.Face[]>(
UIHelper.UpdateFace),
FacesCollection,
res.Item1,
res.Item2);
}));
processCount++;
if (processCount >= SuggestionCount && !forceContinue)
{
var continueProcess =
System.Windows.Forms.MessageBox.Show(
"The images loaded have reached the recommended count, may take long time if proceed. Would you like to continue to load images?",
"Warning", System.Windows.Forms.MessageBoxButtons.YesNo);
if (continueProcess == System.Windows.Forms.DialogResult.Yes)
{
forceContinue = true;
}
else
{
break;
}
}
if (tasks.Count >= _maxConcurrentProcesses || imageList.IsEmpty)
{
await Task.WhenAll(tasks);
tasks.Clear();
}
}
if (invalidImageCount > 0)
{
MainWindow.Log("Warning: more or less than one face is detected in {0} images, can not add to face list.", invalidImageCount);
}
MainWindow.Log("Response: Success. Total {0} faces are detected.", FacesCollection.Count);
}
else
{
MainWindow.Log("cannot open file");
}
GC.Collect();
//OpenFaceButton.IsEnabled = true;
OpenFaceButton.IsEnabled = true;
OpenCameraButton.IsEnabled = true;
}