/// <summary>
///
/// </summary>
/// <param name="treeCount"></param>
/// <param name="fullFilename"></param>
/// <param name="rasterLayer"></param>
public JobRFClassify(int treeCount, string fullFilename, GRasterLayer rasterLayer)
{
_t = new Thread(() =>
{
RF rf = new RF(treeCount);
//training
Summary = "随机森林训练中";
using (StreamReader sr = new StreamReader(fullFilename))
{
List <List <double> > inputList = new List <List <double> >();
List <int> outputList = new List <int>();
string text = sr.ReadLine().Replace("\t", ",");
do
{
string[] rawdatas = text.Split(',');
outputList.Add(Convert.ToInt32(rawdatas.Last()));
List <double> inputItem = new List <double>();
for (int i = 0; i < rawdatas.Length - 1; i++)
{
inputItem.Add(Convert.ToDouble(rawdatas[i]));
}
inputList.Add(inputItem);
text = sr.ReadLine();
} while (text != null);
double[][] inputs = new double[inputList.Count][];
int[] outputs = outputList.ToArray();
for (int i = 0; i < inputList.Count; i++)
{
inputs[i] = inputList[i].ToArray();
}
rf.Train(inputs, outputs);
}
//image classify
Summary = "分类应用中";
IRasterLayerCursorTool pRasterLayerCursorTool = new GRasterLayerCursorTool();
pRasterLayerCursorTool.Visit(rasterLayer);
//GDI graph
Bitmap classificationBitmap = new Bitmap(rasterLayer.XSize, rasterLayer.YSize);
Graphics g = Graphics.FromImage(classificationBitmap);
//
int seed = 0;
int totalPixels = rasterLayer.XSize * rasterLayer.YSize;
Process = 0.0;
//应用dqn对图像分类
for (int i = 0; i < rasterLayer.XSize; i++)
{
for (int j = 0; j < rasterLayer.YSize; j++)
{
//get normalized input raw value
double[] raw = pRasterLayerCursorTool.PickRawValue(i, j);
double[][] inputs = new double[1][];
inputs[0] = raw;
//}{debug
int[] ouputs = rf.Predict(inputs);
int gray = ouputs[0];
//convert action to raw byte value
Color c = Color.FromArgb(gray, gray, gray);
Pen p = new Pen(c);
SolidBrush brush = new SolidBrush(c);
g.FillRectangle(brush, new Rectangle(i, j, 1, 1));
//report progress
Process = (double)seed++ / totalPixels;
}
}
//保存结果至tmp
string fullFileName = Directory.GetCurrentDirectory() + @"\tmp\" + DateTime.Now.ToFileTimeUtc() + ".png";
classificationBitmap.Save(fullFileName);
//rf complete
Summary = "RF训练分类完成";
Complete = true;
OnTaskComplete?.Invoke(Name, fullFileName);
});
}
