private void button5_Click(object sender, EventArgs e)
{
Image <Gray, byte>[] selfCheckImageList = db.getTrainedImageList();
int[] selfCheckLabel = db.getAllImageID();
int count = 0;
foreach (var image in selfCheckImageList)
{
string[] matchedData = imageCheckRecognize(image);
db.updateSelfChecking(matchedData[0], matchedData[1], selfCheckLabel[count].ToString());
count++;
}
MessageBox.Show("Self Checking Finished.");
}
private bool LoadTrainingData()
{
mydb = new DBConn();
allname = mydb.getAllImageID();
string[] allname_st = allname.Select(x => x.ToString()).ToArray();
trainingImages = mydb.getTrainedImageList();
//trainingImages = mydb.getRawTrainedImageList();
if (mydb.getImageCount() > 0)
{
if (trainingImages.Length != 0)
{
//set round and ...
//termCrit = new MCvTermCriteria(mydb.getImageCount(), 0.001);
termCrit = new MCvTermCriteria(5000, 0.0001);
//Eigen face recognizer
recognizer = new EigenObjectRecognizer(trainingImages, allname_st, maxRecognizeTreshold, ref termCrit);
return(true);
}
else
{
return(false);
}
}
else
{
return(false);
}
}
private bool LoadTrainingData()
{
mydb = new DBConn();
imagelabel = mydb.getLabelNumList().ToArray();
imageStringlabel = mydb.getLabelList().ToArray();
trainingImages = mydb.getTrainedImageList();
Itrainingimage = trainingImages;
if (mydb.getImageCount() > 0)
{
if (trainingImages.Length != 0)
{
f_recognize = new FisherFaceRecognizer(0, 123.0);
f_recognize.Train(Itrainingimage, imagelabel);
return(true);
}
else
{
return(false);
}
}
else
{
return(false);
}
}
private bool LoadTrainingData()
{
mydb = new DBConn();
allname = mydb.getLabelList();
trainingImages = mydb.getTrainedImageList();
int[] temp = Enumerable.Range(0, (allname.Count)).ToArray();
if (mydb.getImageCount() > 0)
{
if (trainingImages.Length != 0)
{
//set round and ...
//termCrit = new MCvTermCriteria(mydb.getImageCount(), 0.001);
//Eigen face recognizer
recognizer = new FisherFaceRecognizer(0, 3200);//4000
recognizer.Train(trainingImages, temp);
return(true);
}
else
{
return(false);
}
}
else
{
return(false);
}
}
private bool LoadTrainingData()
{
mydb = new DBConn();
imagelabel = mydb.getLabelNumList().ToArray();
imageStringlabel = mydb.getLabelList().ToArray();
trainingImages = mydb.getTrainedImageList();
Itrainingimage = trainingImages;
if (mydb.getImageCount() > 0)
{
if (trainingImages.Length != 0)
{
f_recognize = new FisherFaceRecognizer(0, 123.0);
f_recognize.Train(Itrainingimage, imagelabel);
return true;
}
else
{
return false;
}
}
else
{
return false;
}
}
public TestRecog()
{
mydb = new DBConn();
totalImage = mydb.getImageCount();
trainImageArr = mydb.getTrainedImageList();
diffFaceList = new List<Image<Gray, byte>>();
AvgFace = getAVGface(trainImageArr);
diffFaceArr = getDiffFace();
}
public TestRecog()
{
mydb = new DBConn();
totalImage = mydb.getImageCount();
trainImageArr = mydb.getTrainedImageList();
diffFaceList = new List <Image <Gray, byte> >();
AvgFace = getAVGface(trainImageArr);
diffFaceArr = getDiffFace();
}
private bool LoadTrainingData()
{
mydb = new DBConn();
allname = mydb.getLabelList();
trainingImages = mydb.getTrainedImageList();
int[] temp = Enumerable.Range(0,(allname.Count)).ToArray();
if (mydb.getImageCount() > 0)
{
if (trainingImages.Length != 0)
{
//set round and ...
//termCrit = new MCvTermCriteria(mydb.getImageCount(), 0.001);
//Eigen face recognizer
recognizer = new FisherFaceRecognizer(0,3200);//4000
recognizer.Train(trainingImages, temp);
return true;
}
else
{
return false;
}
}
else
{
return false;
}
}
private bool LoadTrainingData()
{
mydb = new DBConn();
allname = mydb.getAllImageID();
string[] allname_st = allname.Select(x => x.ToString()).ToArray();
trainingImages = mydb.getTrainedImageList();
//trainingImages = mydb.getRawTrainedImageList();
if (mydb.getImageCount() > 0)
{
if (trainingImages.Length != 0)
{
//set round and ...
//termCrit = new MCvTermCriteria(mydb.getImageCount(), 0.001);
termCrit = new MCvTermCriteria(5000, 0.0001);
//Eigen face recognizer
recognizer = new EigenObjectRecognizer(trainingImages, allname_st, maxRecognizeTreshold, ref termCrit);
return true;
}
else
{
return false;
}
}
else
{
return false;
}
}
