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.");
}
}
finally
{
this.OnFaceDetectionCompleted();
}
}
public static Emotion FindFaceClosestToRegion(IEnumerable <Emotion> emotion, FaceRectangle region)
{
return(emotion?.Where(e => CoreUtil.AreFacesPotentiallyTheSame(e.FaceRectangle, region))
.OrderBy(e => Math.Abs(region.Left - e.FaceRectangle.Left) + Math.Abs(region.Top - e.FaceRectangle.Top)).FirstOrDefault());
}