/// <summary>
/// Detects features of face
/// </summary>
/// <param name="imageModel">Object which is sent from frontend</param>
/// <returns>Age, gender of face and whether glasses and facialhair are present</returns>
public async Task <FaceFeaturesModel> DetectFeaturesOfFace(ImageModel imageModel)
{
try
{
var faces = await _faceServiceClient.DetectAsync(RecUtil.GetStreamFromUri(imageModel.ImageContentUri), false, true, new FaceAttributeType[] {
FaceAttributeType.Age,
FaceAttributeType.Gender
});
return(new FaceFeaturesModel()
{
PersonId = imageModel.Id,
Age = Convert.ToInt32(faces.ElementAt(0).FaceAttributes.Age),
Gender = faces.ElementAt(0).FaceAttributes.Gender
});
}
catch (ArgumentNullException argumentNullException)
{
throw new ManagerException(RecognitionErrorMessages.NoFacesFoundError);
}
catch (ArgumentOutOfRangeException outOfRangeException)
{
throw new ManagerException(RecognitionErrorMessages.NoFacesFoundError);
}
}
//TODO: checks if inerstion was successful
/// <summary>
/// Inserts new image into person group
/// </summary>
/// <param name="imageModel">Object to insert into person group</param>
/// <returns>boolean</returns>
public async Task <bool> InsertPersonInToGroup(ImageModel imageModel)
{
CreatePersonResult result = await _faceServiceClient.CreatePersonAsync(_groupId, imageModel.Id.ToString());
if (result == null)
{
throw new ManagerException(RecognitionErrorMessages.PersonNotCreatedError);
}
await _faceServiceClient.AddPersonFaceAsync(_groupId, result.PersonId, RecUtil.GetStreamFromUri(imageModel.ImageContentUri));
await _faceServiceClient.TrainPersonGroupAsync(_groupId);
TrainingStatus trainingStatus = null;
while (true)
{
trainingStatus = await _faceServiceClient.GetPersonGroupTrainingStatusAsync(_groupId);
if (trainingStatus.Status != Status.Running)
{
break;
}
await Task.Delay(1000);
}
return(true);
}
/// <summary>
/// Identifies person from temporary image taken from App
/// </summary>
/// <returns>Name of identified person</returns>
public async Task <string> Identify(string name)
{
var azureBlobHelper = new AzureBlobHelper();
string takenImageUri = null;
takenImageUri = azureBlobHelper.GetImageUri(name);
if (takenImageUri == null)
{
throw new ManagerException(RecognitionErrorMessages.WrongUriError);
}
var memoryStream = new MemoryStream();
memoryStream = RecUtil.GetStreamFromUri(takenImageUri);
var faces = await _faceServiceClient.DetectAsync(memoryStream);
if (faces.Length == 0 || faces == null)
{
throw new ManagerException(RecognitionErrorMessages.NoFacesFoundError);
}
var faceIds = faces.Select(face => face.FaceId).ToArray();
var results = await _faceServiceClient.IdentifyAsync(_groupId, faceIds);
if (results.Length == 0 || results == null || results[0].Candidates.Length == 0 || results[0].Candidates[0] == null)
{
throw new ManagerException(RecognitionErrorMessages.NoOneIdentifiedError);
}
var candidateId = results[0].Candidates[0].PersonId;
var person = await _faceServiceClient.GetPersonAsync(_groupId, candidateId);
azureBlobHelper.DeletePhoto(name);
return(person.Name);
}
/// <summary>
/// Creates person group in Azure face recognition API
/// </summary>
/// <returns>boolean</returns>
public async Task <bool> CreateGroup()
{
var people = await _databaseController.GetImageObjects();
await _faceServiceClient.CreatePersonGroupAsync(_groupId, "fun");
foreach (var person in people)
{
CreatePersonResult result = await _faceServiceClient.CreatePersonAsync(_groupId, person.Id.ToString());
await _faceServiceClient.AddPersonFaceAsync(_groupId, result.PersonId, RecUtil.GetStreamFromUri(person.ImageContentUri));
}
await _faceServiceClient.TrainPersonGroupAsync(_groupId);
TrainingStatus trainingStatus = null;
while (true)
{
trainingStatus = await _faceServiceClient.GetPersonGroupTrainingStatusAsync(_groupId);
if (trainingStatus.Status != Status.Running)
{
break;
}
await Task.Delay(1000);
}
return(true);
}
