private bool LoadTrainingDataAdmin()
{
admin_dangkythitoeicEntities database = new admin_dangkythitoeicEntities();
//database.
// //message_bar.Text = "";
//Names_List.Clear();
//Names_List_ID.Clear();
//trainingImages.Clear();
//trainingImages.Add(new Image<Gray, byte>(Application.StartupPath + "\\TrainedFaces\\" + xmlreader.Value.Trim()));
//ContTrain = NumLabels;
//if (trainingImages.ToArray().Length != 0)
//{
// //Eigen face recognizer
// //Parameters:
// // num_components – The number of components (read: Eigenfaces) kept for this Prinicpal
// // Component Analysis. As a hint: There’s no rule how many components (read: Eigenfaces)
// // should be kept for good reconstruction capabilities. It is based on your input data,
// // so experiment with the number. Keeping 80 components should almost always be sufficient.
// //
// // threshold – The threshold applied in the prediciton. This still has issues as it work inversly to LBH and Fisher Methods.
// // if you use 0.0 recognizer.Predict will always return -1 or unknown if you use 5000 for example unknow won't be reconised.
// // As in previous versions I ignore the built in threhold methods and allow a match to be found i.e. double.PositiveInfinity
// // and then use the eigen distance threshold that is return to elliminate unknowns.
// //
// //NOTE: The following causes the confusion, sinc two rules are used.
// //--------------------------------------------------------------------------------------------------------------------------------------
// //Eigen Uses
// // 0 - X = unknown
// // > X = Recognised
// //
// //Fisher and LBPH Use
// // 0 - X = Recognised
// // > X = Unknown
// //
// // Where X = Threshold value
// recognizer = new FisherFaceRecognizer(0, 3500);//4000
// recognizer.Train(trainingImages.ToArray(), Names_List_ID.ToArray());
// return true;
//}
//else return false;
return(false);
}
private bool LoadTrainingDataFace()
{
try
{
trainingImages.Clear();
Names_List_ID.Clear();
Names_List.Clear();
NumLabels = 0;
admin_dangkythitoeicEntities database = new admin_dangkythitoeicEntities();
//var list = database.GoLeaves.ToList();
//int number = 0;
//foreach (var item in list)
//{
// trainingImages.Add(new Image<Gray, byte>(Application.StartupPath + "\\"+ item.GoAvatar));
// Names_List_ID.Add(number);
// Names_List.Add(item.OwnerID);
// number++;
// NumLabels += 1;
//}
//if (trainingImages.ToArray().Length != 0)
//{
// recognizer = new FisherFaceRecognizer(0, 3500);//4000
// recognizer.Train(trainingImages.ToArray(), Names_List_ID.ToArray());
// return true;
//}
return(false);
}
catch (Exception ex)
{
Error = ex.ToString();
return(false);
}
}