Beispiel #1
0
 private void button8_Click(object sender, RoutedEventArgs e)
 {
     try
     {
         //P-Analysis ---------------------------------
         checkSaveSub.IsChecked = true;
         checkSample.IsChecked  = false;
         doTransform(0);
         sub.Close();
         //Concat Sub files & export ---------------------------------
         List <string> concat_txt      = TheTool.concatFile_OWS(sub_t.list_fileSave, true, 2);
         string        path_saveFolder = TheURL.totalView_path_saveRoot + @"[NEu]\" + sub_t.getSubSubFolder();
         TheTool.Folder_CreateIfMissing(path_saveFolder);
         string path_concatFile = path_saveFolder + @"\concat.csv";
         TheTool.exportFile(concat_txt, path_concatFile, false);
         //Learn MinMax & export ---------------------------------
         TheMinMaxNormaliz.getDataTable(path_concatFile);
         TheMinMaxNormaliz.buildMinMax_Euclidian_Table();
         TheTool.export_dataTable_to_CSV(path_saveFolder + @"\minmax.csv", TheMinMaxNormaliz.dt_MinMax_Euclidian);
         //--------------------
         doTransform(1);
         sub.confirmOnClose = true;
     }
     catch { }
 }
Beispiel #2
0
 void subTable_calJointEuclidian(int fileID, DataTable dt)
 {
     try
     {
         //=================================================
         //============= Write Sub Table ==================
         //build Column First
         columnAdd_forJoints(dt, col_s_suffix_d);
         //======================================================
         //------ Variable For cal Euclidian Distance
         double[]      lastXYZ = { 0, 0, 0 }; double[] currentXYZ = { 0, 0, 0 };
         List <double> list_D;
         double        dist;
         //======================================================
         foreach (string joint in TheTool.joint_list_upperOnly)//Column first method
         {
             list_D = new List <double> {
             };
             if (normaliz_method == 4)
             {
                 TheMinMaxNormaliz.getMinMax(joint, ref temp_Dist_min, ref temp_Dist_max);
             }
             //------ Cal AvgC -----------------------------
             //double avg_C = TheTool_Stat.calAvg_byCol(dt, joint + "_c", decimalNum);
             //dataTable.Rows[fileID][joint + col_m_cAvg] = avg_C;
             //------ Cal Joint D -----------------------------
             for (int row = 0; row < dt.Rows.Count; row++)
             {
                 //------ Cal Euclidian --------------------------------
                 currentXYZ = TheTool.getDouble_fromJoint(dt, row, joint);
                 if (row == 0)
                 {
                     dt.Rows[row][joint + col_s_suffix_d] = "0";
                 }
                 else
                 {
                     dist = TheTool_Stat.calEuclidean(currentXYZ, lastXYZ, decimalNum);
                     if (normaliz_method == 4)
                     {
                         dist = TheTool_Stat.calMinMaxNormalize(dist, temp_Dist_min, temp_Dist_max);
                     }
                     dt.Rows[row][joint + col_s_suffix_d] = dist;
                     list_D.Add(dist);
                 }
                 lastXYZ = currentXYZ;
             }
             //=================================================
             //============= Write Main Table ==================
             calMainTable(list_D, fileID, joint);
         }
     }
     catch { }
 }
Beispiel #3
0
        //***************************************************************
        //*********************** Super Normalize****************************


        //Learn where is Min - Max
        private void butLearn_Click(object sender, RoutedEventArgs e)
        {
            Nullable <bool> openDialog = TheTool.openFileDialog_01(false, ".csv", "");

            // Get the selected file name and display in a TextBox
            if (openDialog == true)
            {
                TheMinMaxNormaliz.getDataTable(TheTool.dialog.FileName);
                if (TheMinMaxNormaliz.minmax_Euclidian_ready)
                {
                    TheMinMaxNormaliz.showMinMax_Euclidian_Table();
                    butA2.IsEnabled = true;
                }
                ;
            }
        }