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);
}
private User recognizeLDAbyFeature(Guid ldaId, FrcContext db, Guid frsId, MatrixString matrixString)
{
var systemEtalonCount = 1;
// Копируется в testLDA нужно отрефакторить в более лучшем стиле.
// var ldaEntity = db.LDAs.Where(x => x.LDAId == ldaId).FirstOrDefault();
// if (ldaEntity == null)
// {
// throw new Exception("LDA entity is not exist");
// }
// var averageMatrixString = db.MatrixStrings.Where(x => x.MatrixStringId == ldaEntity.AverageImageMatrixId).FirstOrDefault();
// var leftMatrixString = db.MatrixStrings.Where(x => x.MatrixStringId == ldaEntity.LeftMatrixId).FirstOrDefault();
// var rightMatrixString = db.MatrixStrings.Where(x => x.MatrixStringId == ldaEntity.RightMatrixId).FirstOrDefault();
// var averageMatrix = MatrixHelper.MatrixString2Matrix(averageMatrixString);
// var leftMatrix = MatrixHelper.MatrixString2Matrix(leftMatrixString);
// var rightMatrix = MatrixHelper.MatrixString2Matrix(rightMatrixString);
// var ba = Convert.FromBase64String(imageByteArray);
// var imageMatrix = DenseMatrix.OfArray(ImageHelper.ImageByteArray2pixelArray(ba));
// var featureMatrix = leftMatrix * (imageMatrix - averageMatrix) * rightMatrix;
var featureMatrix = MatrixHelper.MatrixString2Matrix(matrixString);
var etalonList = db.Etalons.Where(e => e.FaceRecognitionSystemId == frsId).ToList();
var etalonForUserTempList = etalonList.GroupBy(x => x.UserId).SelectMany(x => x.Take(systemEtalonCount)).ToList();
var userId = CompareToEtalonList(featureMatrix, etalonForUserTempList, db);
return(db.Users.Where(x => x.UserId == userId).FirstOrDefault());
}
public UserDto ByFeature([FromBody] RecognizeFeatureDto item)
{
var frs = new FaceRecognitionTester();
var matrixString = new MatrixString
{
DimentionOne = item.DimentionOne,
DimentionTwo = item.DimentionTwo,
Value = item.FeatureMatrixString,
};
var user = frs.TestFromFeature(item.FrsId, matrixString);
return(new UserDto
{
UserId = user.UserId,
Username = user.Username,
});
}
