private async Task <SimilarFaceMatch> GetSimilarFace(Face detectedFace)
{
SimilarFaceMatch result = new SimilarFaceMatch();
try
{
Tuple <SimilarPersistedFace, string> similarPersistedFace = await FaceListManager.FindSimilarPersistedFaceAsync(await this.GetImageStreamCallback(), detectedFace.FaceId, detectedFace.FaceRectangle);
if (similarPersistedFace != null)
{
bool isNew = (similarPersistedFace.Item2 == null);
result = new SimilarFaceMatch()
{
Face = detectedFace, SimilarPersistedFace = similarPersistedFace.Item1, isNew = isNew
};
}
}
catch (Exception e)
{
ErrorTrackingHelper.TrackException(e, "FaceListManager.FindSimilarPersistedFaceAsync error");
if (this.ShowDialogOnFaceApiErrors)
{
await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Failure finding similar faces");
}
}
return(result);
}
public async Task FindSimilarPersistedFacesAsync()
{
this.SimilarFaceMatches = Enumerable.Empty <SimilarFaceMatch>();
if (this.DetectedFaces == null || !this.DetectedFaces.Any())
{
return;
}
List <SimilarFaceMatch> result = new List <SimilarFaceMatch>();
foreach (DetectedFace detectedFace in this.DetectedFaces)
{
try
{
SimilarFace similarPersistedFace = null;
if (this.ImageUrl != null)
{
similarPersistedFace = await FaceListManager.FindSimilarPersistedFaceAsync(ImageUrl, detectedFace.FaceId.GetValueOrDefault(), detectedFace);
}
else
{
similarPersistedFace = await FaceListManager.FindSimilarPersistedFaceAsync(this.GetImageStreamCallback, detectedFace.FaceId.GetValueOrDefault(), detectedFace);
}
if (similarPersistedFace != null)
{
result.Add(new SimilarFaceMatch {
Face = detectedFace, SimilarPersistedFace = similarPersistedFace
});
}
}
catch (Exception e)
{
ErrorTrackingHelper.TrackException(e, "FaceListManager.FindSimilarPersistedFaceAsync error");
if (this.ShowDialogOnFaceApiErrors)
{
await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Failure finding similar faces");
}
}
}
this.SimilarFaceMatches = result;
}
public async Task <List <FaceSendInfo> > FindSimilarPersonWithEmotion()
{
var facesInfo = new List <FaceSendInfo>();
List <SimilarFaceMatch> result = new List <SimilarFaceMatch>();
//Loop thru all detected faces from previous steps and fill the facesInfo array
//For ease of processing in Azure Stream Analytics we create single level object
foreach (var f in this.DetectedFaces)
{
var fsi = new FaceSendInfo();
//Add emotions
var e = CoreUtil.FindEmotionForFace(f, this.DetectedEmotion);
FeedFaceInfo(f, fsi, e);
//We sen also info how many faces in total were recognized on the picture with current face
fsi.facesNo = this.DetectedFaces.Count();
Tuple <SimilarPersistedFace, string> similarPersistedFace = await FaceListManager.FindSimilarPersistedFaceAsync(await this.GetImageStreamCallback(), f.FaceId, f.FaceRectangle);
if (similarPersistedFace != null)
{
result.Add(new SimilarFaceMatch {
Face = f, SimilarPersistedFace = similarPersistedFace.Item1
});
fsi.canid = similarPersistedFace.Item1.PersistedFaceId.ToString();
fsi.canconf = similarPersistedFace.Item1.Confidence;
//In order to get also name we need to obtain Person
//p = await FaceServiceHelper.GetPersonAsync(groupId, can.PersonId);
fsi.canname = similarPersistedFace.Item1.PersistedFaceId.ToString();
}
facesInfo.Add(fsi);
}
SimilarFaceMatches = result;
return(facesInfo);
}
