/// <summary>
/// Pick image for detection, get detection result and put detection results into RightResultCollection
/// </summary>
/// <param name="sender">Event sender</param>
/// <param name="e">Event argument</param>
private async void RightImagePicker_Click(object sender, RoutedEventArgs e)
{
// Show image picker, show jpg type files only
Microsoft.Win32.OpenFileDialog dlg = new Microsoft.Win32.OpenFileDialog();
dlg.DefaultExt = ".jpg";
dlg.Filter = "Image files(*.jpg, *.png, *.bmp, *.gif) | *.jpg; *.png; *.bmp; *.gif";
var result = dlg.ShowDialog();
if (result.HasValue && result.Value)
{
FaceVerifyResult = string.Empty;
// User already picked one image
var pickedImagePath = dlg.FileName;
var renderingImage = UIHelper.LoadImageAppliedOrientation(pickedImagePath);
var imageInfo = UIHelper.GetImageInfoForRendering(renderingImage);
RightImageDisplay.Source = renderingImage;
// Clear last time detection results
RightResultCollection.Clear();
FaceVerifyButton.IsEnabled = (LeftResultCollection.Count != 0 && RightResultCollection.Count != 0);
MainWindow.Log("Request: Detecting in {0}", pickedImagePath);
var sw = Stopwatch.StartNew();
// Call detection REST API, detect faces inside the image
using (var fileStream = File.OpenRead(pickedImagePath))
{
try
{
var faceServiceClient = FaceServiceClientHelper.GetInstance(this);
var faces = await faceServiceClient.Face.DetectWithStreamAsync(fileStream, recognitionModel : recognitionModel);
// Handle REST API calling error
if (faces == null)
{
return;
}
MainWindow.Log("Response: Success. Detected {0} face(s) in {1}", faces.Count, pickedImagePath);
// Convert detection results into UI binding object for rendering
foreach (var face in UIHelper.CalculateFaceRectangleForRendering(faces, MaxImageSize, imageInfo))
{
// Detected faces are hosted in result container, will be used in the verification later
RightResultCollection.Add(face);
}
FaceVerifyButton.IsEnabled = (LeftResultCollection.Count != 0 && RightResultCollection.Count != 0);
}
catch (APIErrorException ex)
{
MainWindow.Log("Response: {0}. {1}", ex.Body.Error.Code, ex.Body.Error.Message);
return;
}
}
}
GC.Collect();
}
/// <summary>
/// Pick image for detection, get detection result and put detection results into RightResultCollection
/// </summary>
/// <param name="sender">Event sender</param>
/// <param name="e">Event argument</param>
private async void RightImagePicker_Click(object sender, RoutedEventArgs e)
{
// Show image picker, show jpg type files only
Microsoft.Win32.OpenFileDialog dlg = new Microsoft.Win32.OpenFileDialog();
dlg.DefaultExt = ".jpg";
dlg.Filter = "Image files(*.jpg) | *.jpg";
var result = dlg.ShowDialog();
if (result.HasValue && result.Value)
{
VerifyResult = string.Empty;
// User already picked one image
var pickedImagePath = dlg.FileName;
var imageInfo = UIHelper.GetImageInfoForRendering(pickedImagePath);
RightImageDisplay.Source = new BitmapImage(new Uri(pickedImagePath));
// Clear last time detection results
RightResultCollection.Clear();
MainWindow.Log("Request: Detecting in {0}", pickedImagePath);
var sw = Stopwatch.StartNew();
// Call detection REST API, detect faces inside the image
using (var fileStream = File.OpenRead(pickedImagePath))
{
try
{
MainWindow mainWindow = Window.GetWindow(this) as MainWindow;
string subscriptionKey = mainWindow._scenariosControl.SubscriptionKey;
var faceServiceClient = new FaceServiceClient(subscriptionKey);
var faces = await faceServiceClient.DetectAsync(fileStream);
// Handle REST API calling error
if (faces == null)
{
return;
}
MainWindow.Log("Response: Success. Detected {0} face(s) in {1}", faces.Length, pickedImagePath);
// Convert detection results into UI binding object for rendering
foreach (var face in UIHelper.CalculateFaceRectangleForRendering(faces, MaxImageSize, imageInfo))
{
// Detected faces are hosted in result container, will be used in the verification later
RightResultCollection.Add(face);
}
}
catch (FaceAPIException ex)
{
MainWindow.Log("Response: {0}. {1}", ex.ErrorCode, ex.ErrorMessage);
return;
}
}
}
}
private async Task SetModelImage(MainWindow mainWindowInstance)
{
var pickedImagePath2 = System.IO.Path.GetFullPath(Constants.OwnerImagePath);
var renderingImage2 = FaceRecognitionHelper.LoadImageAppliedOrientation(pickedImagePath2);
var imageInfo2 = FaceRecognitionHelper.GetImageInfoForRendering(renderingImage2);
RightImageDisplay.Source = renderingImage2;
mainWindowInstance.Log(string.Format("Request: Detecting in {0}", pickedImagePath2));
var sw2 = Stopwatch.StartNew();
// Clear last time detection results
RightResultCollection.Clear();
var detectedFaces = await MicrosoftApiHelper.DetectFaces(pickedImagePath2, mainWindowInstance, imageInfo2);
for (var i = 0; i < detectedFaces.Count; i++)
{
RightResultCollection.Add(detectedFaces[i]);
}
}
/// <summary>
/// Pick image for detection, get detection result and put detection results into RightResultCollection
/// </summary>
/// <param name="sender">Event sender</param>
/// <param name="e">Event argument</param>
private async void RightImagePicker_Click(object sender, RoutedEventArgs e)
{
// Show image picker, show jpg type files only
Microsoft.Win32.OpenFileDialog dlg = new Microsoft.Win32.OpenFileDialog
{
DefaultExt = ".jpg",
Filter = "Image files(*.jpg) | *.jpg"
};
var result = dlg.ShowDialog();
if (!result.HasValue || !result.Value)
{
return;
}
VerifyResult = string.Empty;
// User already picked one image
var pickedImagePath = dlg.FileName;
var imageInfo = UIHelper.GetImageInfoForRendering(pickedImagePath);
RightImageDisplay.Source = new BitmapImage(new Uri(pickedImagePath));
// Clear last time detection results
RightResultCollection.Clear();
Output = Output.AppendLine($"发送请求: 检测图片 {pickedImagePath} 中");
var sw = Stopwatch.StartNew();
// Call detection REST API, detect faces inside the image
using (var fileStream = File.OpenRead(pickedImagePath))
{
try
{
MainWindow mainWindow = Window.GetWindow(this) as MainWindow;
if (mainWindow == null)
{
return;
}
string subscriptionKey = mainWindow.SubscriptionKey;
var faceServiceClient = new FaceServiceClient(subscriptionKey);
var faces = await faceServiceClient.DetectAsync(fileStream);
// Handle REST API calling error
if (faces == null)
{
return;
}
Output = Output.AppendLine($"反馈:检测成功. 共发现 {faces.Length} 张脸 在图片 {pickedImagePath}");
// Convert detection results into UI binding object for rendering
foreach (var face in UIHelper.CalculateFaceRectangleForRendering(faces, MaxImageSize, imageInfo))
{
// Detected faces are hosted in result container, will be used in the verification later
RightResultCollection.Add(face);
}
}
catch (ClientException ex)
{
Output = Output.AppendLine($"反馈: 出错啦 {ex.Error.Code}. {ex.Error.Message}");
return;
}
}
}
/// <summary>
/// Check if authentication was successful
/// </summary>
/// <returns></returns>
private async Task <bool> VerifyAuth(MainWindow mainWindowInstance)
{
// return true;
// User already picked one image
var pickedImagePath = System.IO.Path.GetFullPath(ImageNameHelper.GetLatestWebcamImage());
var renderingImage = FaceRecognitionHelper.LoadImageAppliedOrientation(pickedImagePath);
var imageInfo = FaceRecognitionHelper.GetImageInfoForRendering(renderingImage);
mainWindowInstance.Log(string.Format("Request: Detecting in {0}", pickedImagePath));
var sw = Stopwatch.StartNew();
LeftResultCollection.Clear();
var detectedFaces = await MicrosoftApiHelper.DetectFaces(pickedImagePath, mainWindowInstance, imageInfo);
for (var i = 0; i < detectedFaces.Count; i++)
{
LeftResultCollection.Add(detectedFaces[i]);
}
// FaceVerifyResult = string.Empty;
var pickedImagePath2 = System.IO.Path.GetFullPath(Constants.OwnerImagePath);
var renderingImage2 = FaceRecognitionHelper.LoadImageAppliedOrientation(pickedImagePath2);
var imageInfo2 = FaceRecognitionHelper.GetImageInfoForRendering(renderingImage2);
mainWindowInstance.Log(string.Format("Request: Detecting in {0}", pickedImagePath2));
var sw2 = Stopwatch.StartNew();
// Clear last time detection results
RightResultCollection.Clear();
detectedFaces = await MicrosoftApiHelper.DetectFaces(pickedImagePath2, mainWindowInstance, imageInfo2);
for (var i = 0; i < detectedFaces.Count; i++)
{
RightResultCollection.Add(detectedFaces[i]);
}
if (LeftResultCollection.Count == 1 && RightResultCollection.Count == 1)
{
var faceId1 = LeftResultCollection[0].FaceId;
var faceId2 = RightResultCollection[0].FaceId;
mainWindowInstance.Log(string.Format("Request: Verifying face {0} and {1}", faceId1, faceId2));
// Call verify REST API with two face id
try
{
var faceServiceClient = new FaceServiceClient(Constants.SubscriptionKey, Constants.ApiEndpoint);
var res = await faceServiceClient.VerifyAsync(Guid.Parse(faceId1), Guid.Parse(faceId2));
mainWindowInstance.Log(string.Format("Response: Confidence = {0:0.00}, Face {1} and {2} {3} to the same person", res.Confidence, faceId1, faceId2, res.IsIdentical ? "belong" : "not belong"));
return(res.IsIdentical);
}
catch (FaceAPIException ex)
{
mainWindowInstance.Log(string.Format("Response: {0}. {1}", ex.ErrorCode, ex.ErrorMessage));
return(false);
}
}
else
{
MessageBox.Show("Verification accepts two faces as input, please pick images with only one detectable face in it.", "Warning", MessageBoxButton.OK);
mainWindowInstance.NavigateTo(typeof(WebcamPage));
return(false);
}
GC.Collect();
}
