public void KDTree()
{
kdt = new KDTreeCluster(PointRaDecPrediction);
kdt.SetupNode(kdt.tree.Root.Left.Right);
int numberbar = 0;
for (int i = 0; i < RaDec.Length; i++)
{
KDTreeNodeCollection <KDTreeNode <int> > kdtfilter = kdt.FindWithNeighbors(RaDec[i], 1);
numberbar = ((i * 100) / RaDec.Length);
TyTask.progreebar3 = numberbar;
if (kdtfilter.Minimum != 0)
{
kdt.Add(
new TypeKDTree()
{
Distand = kdtfilter.Minimum,
Nearest = kdtfilter.Nearest.Position,
Father = RaDec[i]
}
);
}
}
}
private void button1_Click(object sender, EventArgs e)
{
progressBar1.Minimum = 0;
progressBar1.Maximum = 100;
Tuple <Image <Bgr, byte>, Image <Gray, byte>, IDictionary <string, string>, Image <Gray, byte>, VectorOfVectorOfPoint, List <int[]>, double[][]> result = this.objemgucv.SegmentionWatershed(10, false, TypeImage.JPG, centerRa2000GuessRads);
double[] resultcvt = Convert2180(centerRa2000GuessRads.RARadCen, centerRa2000GuessRads.DecRadCen);
database = (IFindFluent <GaiaInfo11, GaiaInfo11>)mongoLib.GeocenterSpherestring(resultcvt[0], resultcvt[1], 0.00396);
//t = (IFindFluent<GaiaInfo11, GaiaInfo11>)mongoLib.GeocenterSpherestring(0, 0, 0.01);
double[][] predictresultxy = mongoLib.XY2RaDec(data: result.Item6, radec: result.Item3);
double[][] dbresultxy = mongoLib.RaDec2XY(database, result.Item3);
double[][] RaDec = mongoLib.GetRaDec(data: database);
imageBox5.Image = result.Item4;
//label2.Text = Convert.ToString(centerRa2000GuessRads.NumPlate);
//Setup kdt
KDTreeCluster kdt = new KDTreeCluster(predictresultxy);
kdt.SetupNode(kdt.tree.Root.Left.Right);
int numberbar = 0;
for (int i = 0; i < dbresultxy.Length; i++)
{
KDTreeNodeCollection <KDTreeNode <int> > kdtfilter = kdt.FindWithNeighbors(dbresultxy[i], 1);
numberbar = ((i * 100) / dbresultxy.Length) + 2;
progressBar1.Value = numberbar;
label2.Text = String.Format("{0}%", numberbar.ToString());
if (kdtfilter.Minimum != 0)
{
kdt.Add(
new TypeKDTree()
{
Distand = kdtfilter.Minimum,
Nearest = kdtfilter.Nearest.Position,
Father = dbresultxy[i]
}
);
}
}
//MethodStaticFomula.ErrorArcSec(mensq);
label1.Text = Convert.ToString(kdt.Count);
//plot graph
ZedGrahp(kdt.Query(), dbresultxy);
double[] maimaxmean = kdt.MinMaxMean;
Console.WriteLine("[INFO][MAX]{0}, [MIN{1}, [MEAN]{2}, [COUNT]{3}]", maimaxmean[0], maimaxmean[1], maimaxmean[2], kdt.Count);
List <TypeKDTree> sigma1 = MethodStaticFomula.CreateSigma(kdt.Query(), maimaxmean[2]);
kdt.Show();
Console.WriteLine("[INFO][X][RMS][{0}]", MethodStaticFomula.RMS(sigma1, 0));
Console.WriteLine("[INFO][Y][RMS][{0}]", MethodStaticFomula.RMS(sigma1, 1));
//data
data = CreateData2GridView(dbresultxy, RaDec, kdt.Query(), result.Item3);
dataGridView1.DataSource = data;
//---debug---
//
//string json = JsonConvert.SerializeObject(this.jsonPlan);
//string databasejson = JsonConvert.SerializeObject(dbresult);
//Console.WriteLine(databasejson);
//JsonAstro.Save(@"C:\Users\specter\Desktop\Mongo\MongoDBControll\Json\plant.json", json);
//JsonAstro.Save(@"C:\Users\specter\Desktop\Mongo\MongoDBControll\Json\db.json", databasejson);
GC.Collect();
}