public async Task DetectEmotionAsync()
{
try
{
if (this.ImageUrl != null)
{
this.DetectedEmotion = await EmotionServiceHelper.RecognizeAsync(this.ImageUrl);
}
else if (this.GetImageStreamCallback != null)
{
this.DetectedEmotion = await EmotionServiceHelper.RecognizeAsync(this.GetImageStreamCallback);
}
if (this.FilterOutSmallFaces)
{
this.DetectedEmotion = this.DetectedEmotion.Where(f => CoreUtil.IsFaceBigEnoughForDetection(f.FaceRectangle.Height, this.DecodedImageHeight));
}
}
catch (Exception e)
{
ErrorTrackingHelper.TrackException(e, "Emotion API RecognizeAsync error");
this.DetectedEmotion = Enumerable.Empty <Emotion>();
if (this.ShowDialogOnFaceApiErrors)
{
await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Emotion detection failed.");
}
}
finally
{
this.OnEmotionRecognitionCompleted();
}
}
public async Task DetectEmotionAsync()
{
try
{
// Implement #1: If there is ImageUrl you should call the proper EmotionServiceHelper method to detect emotions
//if (this.ImageUrl != null)
//{
// //this.DetectedEmotion = await EmotionServiceHelper.RecognizeAsync(this.ImageUrl);
// throw new NotImplementedException();
//}
// Implement #2: If GetImageStreamCallback is not null, you should call the proper EmotionServiceHelper method to detect emotions
//else
if (this.GetImageStreamCallback != null)
{
this.DetectedEmotion = await EmotionServiceHelper.RecognizeAsync(this.GetImageStreamCallback);
}
// Implement #3: If FilterOutSmallFaces is enabled, filter the DetectedEmotion using the CoreUtil IsFaceBigEnoughForDetection method results
if (this.FilterOutSmallFaces)
{
this.DetectedEmotion = this.DetectedEmotion.Where(f => CoreUtil.IsFaceBigEnoughForDetection(f.FaceRectangle.Height, this.DecodedImageHeight)).ToList();
}
}
catch (Exception e)
{
// Implement #4: If there is an error, call the ErrorTrackingHelper helper class to record the issue.
// and return an empty emotion list
ErrorTrackingHelper.TrackException(e, "Emotion API RecognizeAsync error");
//this.DetectedEmotion = Enumerable.Empty<Emotion>();
this.DetectedEmotion = null;
if (this.ShowDialogOnFaceApiErrors)
{
await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Emotion detection failed.");
}
#if DEBUG
throw e;
#endif
}
finally
{
// Implement #5: Call the event OnEmotionRecognitionCompleted
this.OnEmotionRecognitionCompleted();
}
}
public async Task DetectFacesAsync(bool detectFaceAttributes = false, bool detectFaceLandmarks = false)
{
try
{
if (this.ImageUrl != null)
{
this.DetectedFaces = await FaceServiceHelper.DetectAsync(
this.ImageUrl,
returnFaceId : true,
returnFaceLandmarks : detectFaceLandmarks,
returnFaceAttributes : detectFaceAttributes?DefaultFaceAttributeTypes : null);
}
else if (this.GetImageStreamCallback != null)
{
this.DetectedFaces = await FaceServiceHelper.DetectAsync(
this.GetImageStreamCallback,
returnFaceId : true,
returnFaceLandmarks : detectFaceLandmarks,
returnFaceAttributes : detectFaceAttributes?DefaultFaceAttributeTypes : null);
}
if (this.FilterOutSmallFaces)
{
this.DetectedFaces = this.DetectedFaces.Where(f => CoreUtil.IsFaceBigEnoughForDetection(f.FaceRectangle.Height, this.DecodedImageHeight));
}
}
catch (Exception e)
{
ErrorTrackingHelper.TrackException(e, "Face API DetectAsync error");
this.DetectedFaces = Enumerable.Empty <Face>();
if (this.ShowDialogOnFaceApiErrors)
{
//await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Face detection failed.");
ErrorMessage = e.Message + " - Face Detection Failed";
}
}
finally
{
this.OnFaceDetectionCompleted();
}
}
/// <summary>
/// Calling emotion detect for every recognized face
/// </summary>
/// <returns></returns>
public async Task DetectEmotionWithRectanglesAsync()
{
try
{
var rectangles = new List <Rectangle>();
foreach (var f in this.DetectedFaces)
{
Rectangle r = new Rectangle()
{
Top = f.FaceRectangle.Top, Height = f.FaceRectangle.Height, Left = f.FaceRectangle.Left, Width = f.FaceRectangle.Width
};
rectangles.Add(r);
}
if (this.ImageUrl != null)
{
this.DetectedEmotion = await EmotionServiceHelper.RecognizeWithFaceRectanglesAsync(this.ImageUrl, rectangles.ToArray());
}
else if (this.GetImageStreamCallback != null)
{
this.DetectedEmotion = await EmotionServiceHelper.RecognizeWithFaceRectanglesAsync(await this.GetImageStreamCallback(), rectangles.ToArray());
}
if (this.FilterOutSmallFaces)
{
this.DetectedEmotion = this.DetectedEmotion.Where(f => CoreUtil.IsFaceBigEnoughForDetection(f.FaceRectangle.Height, this.DecodedImageHeight));
}
}
catch (Exception e)
{
ErrorTrackingHelper.TrackException(e, "Emotion API RecognizeAsync error");
this.DetectedEmotion = Enumerable.Empty <Emotion>();
if (this.ShowDialogOnFaceApiErrors)
{
await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Emotion detection failed.");
}
}
finally
{
this.OnEmotionRecognitionCompleted();
}
}