/// <summary>
/// Identifies the users on the image.
/// </summary>
/// <returns><c>true</c>, if identification completed successfully, <c>false</c> otherwise.</returns>
/// <param name="imageBytes">Image bytes.</param>
/// <param name="faces">Array of faces.</param>
/// <param name="results">Array of identification results.</param>
public bool IdentifyUsers(byte[] imageBytes, ref Face[] faces, ref IdentifyResult[] results)
{
// create the user-group if needed
if (userGroupId != initedGroupId)
{
GetOrGreateUserGroup();
}
if (userGroupId != initedGroupId)
{
return(false);
}
// detect and identify user faces
faces = null;
results = null;
if (faceManager != null)
{
faces = faceManager.DetectFaces(imageBytes);
// get the training status
TrainingStatus training = faceManager.GetPersonGroupTrainingStatus(userGroupId);
bool bEmptyGroup = false;
if (training != null)
{
if (training.status == Status.Failed)
{
// check if there are persons in this group
List <Person> listPersons = GetUsersList();
if (listPersons.Count > 0)
{
// retrain the group
faceManager.TrainPersonGroup(userGroupId);
}
else
{
// empty group - always returns 'training failed'
training.status = Status.Succeeded;
bEmptyGroup = true;
}
}
else if (training.status == Status.Succeeded && training.message.StartsWith("There is no person"))
{
// the group exists but it's empty
bEmptyGroup = true;
}
}
DateTime waitTill = DateTime.Now.AddSeconds(5);
while ((training == null || training.status != Status.Succeeded) && (DateTime.Now < waitTill))
{
// wait for training to succeed
System.Threading.Thread.Sleep(1000);
training = faceManager.GetPersonGroupTrainingStatus(userGroupId);
}
if (bEmptyGroup)
{
// nothing to check
return(true);
}
if (faces != null && faces.Length > 0)
{
results = faceManager.IdentifyFaces(userGroupId, ref faces, 1);
faceManager.MatchCandidatesToFaces(ref faces, ref results, userGroupId);
return(true);
}
}
return(false);
}