//KNN 코루틴 호성이 시작
IEnumerator GetLastKnnEvaluation()
{
Knn_Calculate knn_instance = new Knn_Calculate();
knn_instance.Init();
Knn_Results result = knn_instance.Knn_Execute();
this.dataManager.AddKnnResults(result);
yield return(null);
}
public Knn_Results Knn_Execute()
{
UnityEngine.Debug.LogError("knn진입");
double E_HEAD = ErrorTimes[Convert.ToInt32(AnimationParts.Head)];
double E_LH = ErrorTimes[Convert.ToInt32(AnimationParts.LH)];
double E_RH = ErrorTimes[Convert.ToInt32(AnimationParts.RH)];
double E_LF = ErrorTimes[Convert.ToInt32(AnimationParts.LF)];
double E_RF = ErrorTimes[Convert.ToInt32(AnimationParts.RF)];
List <double> sort_list = new List <double>();
sort_list.Add(E_HEAD);
sort_list.Add(E_LH);
sort_list.Add(E_RH);
sort_list.Add(E_LF);
sort_list.Add(E_RF);
sort_list.Sort();
//KNN 알고리즘 - 파이썬
string num1 = this.totalTime.ToString(); //전체 실행시간
string num2 = ((E_HEAD + E_LH + E_RH + E_LF + E_RF) / 5).ToString(); //오류시간 평균
string num3 = ((sort_list[0] + sort_list[4]) / 2).ToString(); //오류시간 중앙값
string file_name = PoseName + ".txt";
string Path = "Knn_code\\" + file_name;
var psi = new ProcessStartInfo();
UnityEngine.Debug.Log("file_name=" + file_name);
UnityEngine.Debug.Log("num1=" + num1);
UnityEngine.Debug.Log("num2=" + num2);
UnityEngine.Debug.Log("num3=" + num3);
psi.FileName = @"python.exe";
//파이썬 코드 경로
psi.Arguments = "Knn_code\\knn.py ";
psi.Arguments += Path + " " + num1 + " " + num2 + " " + num3;
psi.UseShellExecute = false;
psi.CreateNoWindow = true;
psi.RedirectStandardOutput = true;
psi.RedirectStandardError = true;
var errors = "";
var results = "";
using (var process = Process.Start(psi))
{
errors = process.StandardError.ReadToEnd();
results = process.StandardOutput.ReadToEnd();
}
results = results.Replace("Very well", "완벽함").Replace("Well", "잘함").Replace("Normal", "보통").Replace("Bad", "못함").Replace("Very bad", "망함");
//
string minErrorTimeName = GetMinErrortime(E_HEAD, E_LH, E_RH, E_LF, E_RF, sort_list[0]);
string maxErrorTimeName = GetMaxErrortime(E_HEAD, E_LH, E_RH, E_LF, E_RF, sort_list[4]);
//
Knn_Results result = new Knn_Results(PoseName, results, this.totalTime, sort_list[0], minErrorTimeName, sort_list[4], maxErrorTimeName);
return(result);
}
public void AddKnnResults(Knn_Results knn_result)
{
Debug.LogError("all에 result 추가");
this.all_knn_results.Add_Result(knn_result);
}
public void Add_Result(Knn_Results result)
{
this.knn_result_list.Add(result);
this.Avg_Calculate();
}
