public void LoadRFModel(string file_name = "")
{
if (file_name == "")
file_name = RF_model_file_path_;
decisionForest = new dforest.decisionforest();
alglib.serializer Serializer = new alglib.serializer();
string modelFile = System.IO.File.ReadAllText(file_name);
Serializer.ustart_str(modelFile);
dforest.dfunserialize(Serializer, decisionForest);
Serializer.stop();
Console.WriteLine("Finish loading the RF model");
Console.WriteLine("Total tree size: {0}", decisionForest.trees.Length);
int treeSize = (int)(decisionForest.trees.Length / decisionForest.ntrees);
Console.WriteLine("single tree size:{0}", treeSize);
Console.WriteLine("Number of variable: {0}", decisionForest.nvars);
Console.WriteLine("ntress: {0}", decisionForest.ntrees);
Console.WriteLine("nclasses: {0}", decisionForest.nclasses);
// turn the tree from double type to int type to make it more efficient
trees_int_ = new int[decisionForest.trees.Length];
Console.WriteLine("Length of the original tree: {0}", trees_int_.Length);
for (int i = 0; i < decisionForest.trees.Length; i++)
trees_int_[i] = (int)Math.Ceiling(decisionForest.trees[i]);
}
/*
public void LoadRFModel(string file_name = "")
{
if (file_name == "")
file_name = RF_model_file_path_;
decisionForest = new dforest.decisionforest();
alglib.serializer Serializer = new alglib.serializer();
string modelFile = System.IO.File.ReadAllText(file_name);
Serializer.ustart_str(modelFile);
dforest.dfunserialize(Serializer, decisionForest);
Serializer.stop();
Console.WriteLine("Finish loading the RF model");
Console.WriteLine("Total tree size: {0}", decisionForest.trees.Length);
int treeSize = (int)(decisionForest.trees.Length / decisionForest.ntrees);
Console.WriteLine("single tree size:{0}", treeSize);
Console.WriteLine("Number of variable: {0}", decisionForest.nvars);
Console.WriteLine("ntress: {0}", decisionForest.ntrees);
Console.WriteLine("nclasses: {0}", decisionForest.nclasses);
// turn the tree from double type to int type to make it more efficient
trees_int_ = new int[decisionForest.trees.Length];
Console.WriteLine("Length of the original tree: {0}", trees_int_.Length);
for (int i = 0; i < decisionForest.trees.Length; i++)
trees_int_[i] = (int)Math.Ceiling(decisionForest.trees[i]);
}
*/
#endregion
public void LoadRFModel(string file_name = "")
{
if (file_name == "")
file_name = RF_model_file_path_;
decisionForest = new dforest.decisionforest();
ProcessStartInfo start = new ProcessStartInfo();
start.FileName = @"..\..\..\..\Experiments\floatversion\Test\Release\Test.exe";// @"C:\Users\Michael Zhang\Desktop\HandGestureRecognition\Experiments\floatversion\Test\Release\Test.exe"; // Specify exe name.
Console.WriteLine(" Read model file exe: {0}", Path.GetFullPath(start.FileName));
start.UseShellExecute = false;// "..\\..\\..\\Data"
start.RedirectStandardOutput = true;
start.Arguments = "\"" + file_name + "\""; // "\"C:\\Users\\Michael Zhang\\Desktop\\HandGestureRecognition\\ColorGlove\\Data\\RF.demo.1000.800.1.model\"";
Console.WriteLine(" Read model file: {0}", start.Arguments);
//
// Start the process.
//
using (Process process = Process.Start(start))
{
//
// Read in all the text from the process with the StreamReader.
//
using (StreamReader reader = process.StandardOutput)
{
string result = reader.ReadToEnd();
string[] parts = result.Split(' ');
int nvars = int.Parse(parts[0]);
int nclass = int.Parse(parts[1]);
int ntrees = int.Parse(parts[2]);
int bufsize = int.Parse(parts[3]);
int[] buf = new int[bufsize];
for (int i = 0; i < bufsize; i++)
{
buf[i] = int.Parse(parts[4 + i]);
}
decisionForest.nvars = nvars;
decisionForest.nclasses = nclass;
decisionForest.ntrees = ntrees;
decisionForest.bufsize = bufsize;
trees_int_ = buf;
Debug.WriteLine("Done in reading the file from a C++ program. bufsize: {0}", bufsize);
//Console.Write(result);
}
}
}
