public User TestFromFeature(Guid frsId, MatrixString matrixString)
{
var db = new FrcContext();
var frs = db.FaceRecognitionSystems.Where(x => x.FaceRecognitionSystemId == frsId).FirstOrDefault();
if (frs == null)
{
throw new Exception("Face recognition system is not exist");
}
User result;
switch (frs.Type)
{
case "LDA":
result = recognizeLDAbyFeature(frs.TypeSystemId, db, frsId, matrixString);
break;
default:
throw new NotImplementedException();
}
db.Dispose();
return(result);
}
public User TestFromImage(Guid frsId, string imageByteArray, int systemEtalonCount)
{
var db = new FrcContext();
var frs = db.FaceRecognitionSystems.Where(x => x.FaceRecognitionSystemId == frsId).FirstOrDefault();
if (frs == null)
{
throw new Exception("Face recognition system is not exist");
}
User result;
switch (frs.Type)
{
case "LDA":
result = recognizeLDA(frs.TypeSystemId, db, frsId, imageByteArray, systemEtalonCount);
break;
default:
throw new NotImplementedException();
}
db.Dispose();
return(result);
}
public MatrixString[] GetFrsParemeter(Guid frsId)
{
var db = new FrcContext();
var frs = db.FaceRecognitionSystems.Where(x => x.FaceRecognitionSystemId == frsId).FirstOrDefault();
if (frs == null)
{
throw new Exception("Face recognition system is not exist");
}
MatrixString[] result;
switch (frs.Type)
{
case "LDA":
result = paramLDA(frs.TypeSystemId, db, frsId);
break;
default:
throw new NotImplementedException();
}
db.Dispose();
return(result);
}
public Image Get(Guid imageId)
{
var db = new FrcContext();
var imageEntity = db.Images.Where(x => x.ImageId == imageId).FirstOrDefault();
db.Dispose();
return(imageEntity);
}
public List <DatabaseTestUser> GetList(Guid frsId)
{
var db = new FrcContext();
var frsList = db.DatabaseTestUsers.Where(x => x.FaceRecognitionSystemId == frsId).ToList();
db.Dispose();
return(frsList);
}
public void startAddingDatabase()
{
var db = new FrcContext();
proccessDatabase(db);
Console.ReadKey();
db.Dispose();
}
public List <FaceRecognitionSystem> GetFrsList()
{
var db = new FrcContext();
var frsList = db.FaceRecognitionSystems.ToList();
db.Dispose();
return(frsList);
}
// Вообще лучше инкапсулировать всё что связано с LDA в отдельный модуль.
public void TestFromDatabase(Guid frsId)
{
var db = new FrcContext();
var frs = db.FaceRecognitionSystems.Where(x => x.FaceRecognitionSystemId == frsId).FirstOrDefault();
if (frs == null)
{
throw new Exception("Face recognition system is not exist");
}
switch (frs.Type)
{
case "LDA":
testLDA(frs.TypeSystemId, db, frsId);
break;
default:
throw new NotImplementedException();
}
db.Dispose();
}
// to do: продумать как можно лучше работать с массивами пользователей,
// чтобы не пришлось по сто раз извлекать для каждой регистрации в БД.
public void RegisterUserList(List <Guid> imageIdList, Guid frsId)
{
var db = new FrcContext();
var frs = db.FaceRecognitionSystems.Where(x => x.FaceRecognitionSystemId == frsId).FirstOrDefault();
if (frs == null)
{
throw new Exception("Face recognition system is not exist");
}
switch (frs.Type)
{
case "LDA":
registerLDA(frs.TypeSystemId, db, imageIdList, frsId);
break;
default:
throw new NotImplementedException();
}
db.Dispose();
}
public Guid Create()
{
var db = new FrcContext();
var imdb = db.ImageDatabases.Where(x => x.DatabaseName == md.databaseName).FirstOrDefault();
if (imdb == null)
{
throw new Exception("Image database is not exist");
}
totalTrainImageForUser = (int)Math.Floor(
(double)imdb.TotalImageForUser * (Constants.HUNDRED_PERCENT - md.databaseTestImagesPercent) / Constants.HUNDRED_PERCENT);
totalUserForTrain = (int)Math.Floor(
(double)imdb.TotalUser * (Constants.HUNDRED_PERCENT - md.databaseTestUsersForOpenTaskPercent) / Constants.HUNDRED_PERCENT);
if (totalTrainImageForUser == 0 || totalUserForTrain == 0)
{
throw new Exception("Not enaught images for user");
}
// to do: обращаться ко всем элементам не очень так как для больших БД может не хватить памяти:
var userListOfListsForTrain = db.Users.OrderBy(x => x.Username).Take(totalUserForTrain)
.Select(x => x.Images.OrderBy(y => y.ImageName).Take(totalTrainImageForUser)).ToList();
foreach (var userImageList in userListOfListsForTrain)
{
List <Matrix <double> > userMatrixList = new List <Matrix <double> >();
foreach (var userImage in userImageList)
{
var imageMatrix = ImageHelper.ImageByteArray2pixelArray(userImage.ImageByteArray);
userMatrixList.Add(DenseMatrix.OfArray(imageMatrix));
}
trainImageLists.Add(userMatrixList);
}
Guid frsId;
switch (md.trainName)
{
case "LDA":
frsId = trainLDA(imdb, db);
break;
default:
throw new NotImplementedException();
}
// Записать все изображения пользователей, которые предназначены для тестирования БД на закрытом множестве.
var userListOfListsForTest = db.Users.OrderBy(x => x.Username).Take(totalUserForTrain)
.Select(x => x.Images.OrderBy(y => y.ImageName).Skip(totalTrainImageForUser)).ToList();
var testList = userListOfListsForTest.SelectMany(x => x.Select(i => new DatabaseTestUser
{
DatabaseTestUserId = Guid.NewGuid(),
FaceRecognitionSystemId = frsId,
ImageId = i.ImageId,
})).ToList();
db.DatabaseTestUsers.AddRange(testList);
db.SaveChanges();
db.Dispose();
// Зарегестрировать все изображения пользователей, которые учавствовали в обучении.
var registrator = new FaceRecognitionRegistrator();
var imageIdList = userListOfListsForTrain.SelectMany(x => x.Select(y => y.ImageId)).ToList();
registrator.RegisterUserList(imageIdList, frsId);
return(frsId);
}
