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);
}
private async Task CreatePrsonIfNoSimilarFaceExistsAsync(List <FaceSendInfo> facesInfo, Guid newPersonID, Face f)
{
//TODO return person result so we can change candidate if we are not going with the one selected
//We try to find person also thru similar face api
SimilarFaceMatch result = await GetSimilarFace(f);
using (var db = new KioskDBContext())
{
//If we create new similar face, we create also new person
if (result.isNew)
{
//We create db where we map SimilarPersonID to PersonID, because those are different in cognitive services
var perResult = await CreatePerson(facesInfo, newPersonID, f);
db.SimilarFaces.Add(new DBSimilarFace()
{
CreatedAt = DateTime.Now, FaceId = result.SimilarPersistedFace.PersistedFaceId.ToString(), PersonId = perResult.ToString()
});
await db.SaveChangesAsync();
}
else
{
string personId = "";
try
{
personId = db.SimilarFaces.Where(sf => sf.FaceId == result.SimilarPersistedFace.PersistedFaceId.ToString()).FirstOrDefault().PersonId;
var person = await FaceServiceHelper.GetPersonAsync(groupId, new Guid(personId));
//Fill new info
var fi = facesInfo.Where(fin => fin.faceId == f.FaceId.ToString()).FirstOrDefault();
fi.canid = personId;
fi.canname = person.Name;
fi.canconf = result.SimilarPersistedFace.Confidence;
//We did not identified person thru person group and we needed to use silimar face api, so we add picture
await AddFaceToPerson(f, person, new Guid(personId));
}
catch (Exception)
{
//Person was not found due to old entry in local DB (Exception thrown by FaceApi GetPersonAsync) or face was created only in list when not using complex identification
//If person is only in list, we need to create it also in person list
if (personId == "")
{
var perResult2 = await CreatePerson(facesInfo, newPersonID, f);
db.SimilarFaces.Add(new DBSimilarFace()
{
CreatedAt = DateTime.Now, FaceId = result.SimilarPersistedFace.PersistedFaceId.ToString(), PersonId = perResult2.ToString()
});
await db.SaveChangesAsync();
}
//We clean the old entry from DB and create new Person
var oldDbEntry = db.SimilarFaces.Where(sf => sf.FaceId == result.SimilarPersistedFace.PersistedFaceId.ToString()).FirstOrDefault();
var perResult = await CreatePerson(facesInfo, newPersonID, f);
if (oldDbEntry != null)
{
db.SimilarFaces.Update(oldDbEntry);
oldDbEntry.FaceId = result.SimilarPersistedFace.PersistedFaceId.ToString();
oldDbEntry.PersonId = perResult.ToString();
}
else
{
db.SimilarFaces.Add(new DBSimilarFace()
{
CreatedAt = DateTime.Now, FaceId = result.SimilarPersistedFace.PersistedFaceId.ToString(), PersonId = perResult.ToString()
});
}
await db.SaveChangesAsync();
}
}
}
}
public async Task <List <FaceSendInfo> > IdentifyOrAddPersonWithEmotionsAsync(string groupName, double confidence)
{
var time = DateTime.Now;
//We also add emotions
var facesInfo = new List <FaceSendInfo>();
foreach (var f in this.DetectedFaces)
{
var fsi = new FaceSendInfo();
var e = CoreUtil.FindEmotionForFace(f, this.DetectedEmotion);
fsi.faceId = f.FaceId.ToString();
fsi.age = f.FaceAttributes.Age;
fsi.faceRecHeight = f.FaceRectangle.Height;
fsi.faceRecLeft = f.FaceRectangle.Left;
fsi.faceRecTop = f.FaceRectangle.Top;
fsi.faceRecWidth = f.FaceRectangle.Width;
fsi.gender = f.FaceAttributes.Gender;
fsi.smile = f.FaceAttributes.Smile;
fsi.beard = f.FaceAttributes.FacialHair.Beard;
fsi.moustache = f.FaceAttributes.FacialHair.Moustache;
fsi.sideburns = f.FaceAttributes.FacialHair.Sideburns;
fsi.glasses = f.FaceAttributes.Glasses.ToString();
fsi.headYaw = f.FaceAttributes.HeadPose.Yaw;
fsi.headRoll = f.FaceAttributes.HeadPose.Roll;
fsi.headPitch = f.FaceAttributes.HeadPose.Pitch;
fsi.anger = e.Scores.Anger;
fsi.contempt = e.Scores.Contempt;
fsi.disgust = e.Scores.Disgust;
fsi.fear = e.Scores.Fear;
fsi.happiness = e.Scores.Happiness;
fsi.neutral = e.Scores.Neutral;
fsi.sadness = e.Scores.Sadness;
fsi.surprise = e.Scores.Surprise;
fsi.timeStamp = time;
fsi.facesNo = this.DetectedFaces.Count();
facesInfo.Add(fsi);
}
var newPersonID = Guid.NewGuid();
//Move to initialization
try
{
var g = await FaceServiceHelper.CreatePersonGroupIfNoGroupExists(groupName);
groupId = g.PersonGroupId;
}
catch (Exception e)
{
// Catch errors with individual groups so we can continue looping through all groups. Maybe an answer will come from
// another one.
ErrorTrackingHelper.TrackException(e, "Problem creating group");
if (this.ShowDialogOnFaceApiErrors)
{
await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Problem creating group");
}
}
List <IdentifiedPerson> ipresult = new List <IdentifiedPerson>();
// Compute Face Identification and Unique Face Ids
//We need to map detected faceID with actual personID (Identified face)
try
{
IdentifyResult[] groupResults = await this.IdentifyFacesAsync(groupId);
foreach (var f in this.DetectedFaces)
{
if (groupResults != null && groupResults.Where(gr => gr.FaceId == f.FaceId).Any() && groupResults.Where(gr => gr.FaceId == f.FaceId).FirstOrDefault().Candidates.Any())
{
var candidates = groupResults.Where(gr => gr.FaceId == f.FaceId).FirstOrDefault().Candidates.OrderByDescending(ca => ca.Confidence);
var fi = facesInfo.Where(fin => fin.faceId == f.FaceId.ToString()).FirstOrDefault();
int i = 0;
Person p = new Person();
foreach (var can in candidates)
{
switch (i)
{
case 0:
fi.can1id = can.PersonId.ToString();
fi.can1conf = can.Confidence;
p = await FaceServiceHelper.GetPersonAsync(groupId, can.PersonId);
fi.can1name = p.Name;
if (can.Confidence >= confidence)
{
ipresult.Add(new IdentifiedPerson()
{
Person = p, Confidence = can.Confidence, FaceId = f.FaceId
});
if (p.PersistedFaceIds.Length == 248)
{
Guid persistedFaceId = p.PersistedFaceIds.OrderBy(x => Guid.NewGuid()).FirstOrDefault();
await FaceServiceHelper.DeletePersonFaceAsync(groupId, can.PersonId, persistedFaceId);
}
try
{
await FaceServiceHelper.AddPersonFaceAsync(groupId, can.PersonId, await this.GetImageStreamCallback(), "", f.FaceRectangle);
}
catch (Exception e)
{
// Catch errors with individual groups so we can continue looping through all groups. Maybe an answer will come from
// another one.
ErrorTrackingHelper.TrackException(e, "Problem adding face to group");
if (this.ShowDialogOnFaceApiErrors)
{
await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Problem adding face to group");
}
}
}
else
{
//create new Guy if confidence not sufficient
SimilarFaceMatch result = await GetSimilarFace(f);
//using (var db = new KioskDbContext())
//{
// Blogs.ItemsSource = db.Blogs.ToList();
//}
await CreatePerson(facesInfo, newPersonID, f);
}
break;
case 1:
fi.can2id = can.PersonId.ToString();
fi.can2conf = can.Confidence;
p = await FaceServiceHelper.GetPersonAsync(groupId, can.PersonId);
fi.can2name = p.Name;
break;
case 2:
fi.can3id = can.PersonId.ToString();
fi.can3conf = can.Confidence;
p = await FaceServiceHelper.GetPersonAsync(groupId, can.PersonId);
fi.can3name = p.Name;
break;
case 3:
fi.can4id = can.PersonId.ToString();
fi.can4conf = can.Confidence;
p = await FaceServiceHelper.GetPersonAsync(groupId, can.PersonId);
fi.can4name = p.Name;
break;
}
i++;
}
}
else
{
//if no candidate we also need to create new person
await CreatePerson(facesInfo, newPersonID, f);
}
try
{
await FaceServiceHelper.TrainPersonGroupAsync(groupId);
}
catch (Exception e)
{
// Catch error with training of group
ErrorTrackingHelper.TrackException(e, "Problem training group");
if (this.ShowDialogOnFaceApiErrors)
{
await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Problem training group");
}
}
}
}
catch (Exception e)
{
// Catch error with training of group
ErrorTrackingHelper.TrackException(e, "Problem with cognitive services");
if (this.ShowDialogOnFaceApiErrors)
{
await ErrorTrackingHelper.GenericApiCallExceptionHandler(e, "Problem with cognitive services");
}
}
return(facesInfo);
}
