/// <summary>
/// 从DataTable读取
/// </summary>
/// <param name="dt">The dt.</param>
public static MyDataTable ReadFromDataTable(DataTable dt)
{
MyDataTable myDt = new MyDataTable();
foreach (DataColumn Column in dt.Columns)
{
myDt.AddColumn(Column.ColumnName);
}
long N = dt.Rows.Count; //计算总量
int counter = 0; //计数器
using (var pb = new ConsoleProgressBar.ProgressBar())
{
System.Console.WriteLine("从DataTable读取");
for (int i = 0; i < dt.Rows.Count; i++)
{
MyRow myRow = myDt.NewRow();//新建一行
for (int j = 0; j < dt.Columns.Count; j++)
{
string ColumnName = myDt.ColumnNames[j];
myRow[ColumnName] = dt.Rows[i][j];
}
myDt.AddRow(myRow);
counter++;
double progress = counter / (double)N;
pb.Progress.Report(progress, "正在加载数据");//更新UI
}
}
return(myDt);
}
/// <summary>
/// 向DataTable写出
/// </summary>
/// <returns>DataTable.</returns>
public static DataTable WriteToDataTable(MyDataTable myDt)
{
DataTable dt = new DataTable();
#region 为datatable添加列名
//添加数据表的列对象
foreach (MyColumn myColumn in myDt.m_buffer)
{
dt.Columns.Add(myColumn.Name);
}
#endregion
for (int r = 0; r < myDt.RowCount; r++) //遍历数据的所有行
{
DataRow row = dt.NewRow(); //新建row
for (int c = 0; c < myDt.ColumnNames.Count; c++) //赋值row
{
row[c] = myDt[r, c];
}
dt.Rows.Add(row);//把row添加到DataTable
}
return(dt);
}
/// <summary>
/// Batch preprocessing of image files for ML.Net image classification
/// </summary>
public static void Process(string path)
{
#region CopyImagesToFolder
System.Console.WriteLine($"directory of realizations is : {path}");
var filePaths = DirHelper.GetFileNames(path, "*.jpg", false);
FileHelper.SortByName(ref filePaths);
Dictionary <string, List <string> > prefix_filePaths = new Dictionary <string, List <string> >();
for (int i = 0; i < filePaths.Length; i++)
{
string filePath = filePaths[i];
string fileName = FileHelper.GetFileName(filePaths[i]);
if (fileName.IndexOf("_") < 0)
{
continue;
}
string Prefix = fileName.Substring(0, fileName.IndexOf("_"));
if (prefix_filePaths.ContainsKey(Prefix))
{
prefix_filePaths[Prefix].Add(filePath);
}
else
{
prefix_filePaths.Add(Prefix, new List <string>()
{
filePath
});
}
}
Dictionary <int, string> idx_prefix = new Dictionary <int, string>();
System.Console.WriteLine();
System.Console.WriteLine("list of prefixs(column name:1 - serial number;2 - parameter value;3 - realizations number)");
int counter = 1;
foreach (var item in prefix_filePaths)
{
idx_prefix.Add(counter, item.Key);
System.Console.WriteLine($"{counter}\t{item.Key}\t{item.Value.Count}");
counter++;
}
System.Console.WriteLine("Select two adjacent serial numbers (for example, 1 2 or 4 5) from the prefix list.");
string selected = System.Console.ReadLine();
List <int> ids = selected.Split(new char[] { ' ' }, StringSplitOptions.RemoveEmptyEntries).Select(a => int.Parse(a)).ToList();
System.Console.WriteLine("How many realizations are sampled at a time(one sampling experiments)?");
System.Console.WriteLine("If the number of realizations is 300, it is recommended to take 50~100");
int k = int.Parse(System.Console.ReadLine());
System.Console.WriteLine("How many sampling experiments need to be done?");
System.Console.WriteLine("it is recommended to take value in range of 30~80");
int N = int.Parse(System.Console.ReadLine());
Program.SamplingNumber = N;
System.Console.WriteLine();
System.Console.WriteLine("Clean up the previous data");
if (!DirHelper.IsExistDirectory(Program.SavePath))
{
DirHelper.CreateDir(Program.SavePath);
}
else
{
DirHelper.ClearDirectory(Program.SavePath);
}
System.Threading.Thread.Sleep(100);
System.Console.WriteLine();
System.Console.WriteLine("Copy data file");
//Take samples from the realizations
for (int i = 0; i < N; i++)
{
string SamplingPath = @$ "{Program.SavePath}\train{i}";
Directory.CreateDirectory(SamplingPath);
counter = 0;
using (var pb = new ProgressBar())
{
foreach (var idx in ids)
{
pb.Progress.Report(counter / ids.Count, "Copying now");
string prefix = idx_prefix[idx];
List <string> filePaths1 = prefix_filePaths[prefix];
filePaths1 = SortHelper.RandomSelect(filePaths1, k, new Random());
foreach (var filePath in filePaths1)
{
string filePath_new = string.Format("{0}\\{1}", SamplingPath, FileHelper.GetFileName(filePath));
File.Copy(filePath, filePath_new);
}
}
}
#region MakeTagFile
var filePaths_temp = DirHelper.GetFileNames(SamplingPath);
FileHelper.SortByName(ref filePaths_temp);
MyDataTable myDT = new MyDataTable();
myDT.AddColumn("FileName");
myDT.AddColumn("Label");
for (int j = 0; j < filePaths_temp.Length; j++)
{
MyRow row = myDT.NewRow();
string fileName = FileHelper.GetFileName(filePaths_temp[j]);
if (fileName.IndexOf("_") < 0)
{
continue;
}
row["FileName"] = fileName;
row["Label"] = fileName.Substring(0, fileName.IndexOf("_"));
myDT.AddRow(row);
}
string TagFilePath = $"{Program.SavePath}\\train_tags{i}.tsv";
myDT.WriteToTxt(TagFilePath, "\t", false);
#endregion
}
#endregion
}
