public FormProggress(DataGathering.Form1 parentForm, int max)
{
InitializeComponent();
progressBar1.Maximum = max;
progressBar1.Step = 1;
form = parentForm;
}
void Start()
{
filePath = string.Concat(Application.dataPath, "/data/");
naos = GetComponent <DataGathering>();
eyeData = GetComponent <ReceiveLiveStream>();
KerasBrain = GetComponent <Brain>();
loading = 0;
}
public FormProggress(DataGathering.Form1 parentForm)
{
InitializeComponent();
progressBar1.Maximum = parentForm.m_datFiles.Length;
progressBar1.Step = 1;
// timer1.Enabled = true;
form = parentForm;
}
public void Start()
{
testTensor = new float[]
{
140.285470581055f, 41.11237678527829f, 5.836468505859f, 0.0f,
0.0f, 0.0f, 2.463f, 0.0f, 64.28699999999999f, 0.7287418126212261f
};
naos = GetComponent <DataGathering>();
eyeData = GetComponent <ReceiveLiveStream>();
store = GetComponent <ExcelStore>();
}
// Use this for initialization
void Start()
{
// let's first get access to the other components of this object
//udpSender = GetComponent<UDPDoubleArrSend> ();
//triggerSender = GetComponent<UDPSend> ();
stream = GetComponent <DataGathering> ();
// This is for the purpose of separating the different subjects you have recorded
// each time the program is restarted it creates a new folder for the new participant,
// in this way you know exactly which participant you are working with and the number that has been through.
while (Directory.Exists("E:/HrTestData/" + participantID))
{
participantID += 1;
}
Directory.CreateDirectory("E:/HrTestData/" + participantID);
directoryPath = "E:/HrTestData/" + participantID + "/";
}
public void InitializeVariables()
{
gdlX = new List <double>();
gdlY = new List <double>();
gdlZ = new List <double>();
gdrX = new List <double>();
gdrY = new List <double>();
gdrZ = new List <double>();
pdl = new List <double>();
pdr = new List <double>();
HR = new List <double>();
GSR = new List <double>();
filePath = string.Concat(Application.dataPath, "/data/");
naos = GetComponent <DataGathering>();
eyeData = GetComponent <ReceiveLiveStream>();
KerasBrain = GetComponent <Brain>();
}
public string GetResult()
{
DataGathering dg = new DataGathering();
//dg.GenerateResultFile();
//dg.dependenciesGraph();
//string allText = System.IO.File.ReadAllText(@"wwwroot//allresults.json");
string allText = JsonSerializer.Serialize(EvolutionAnalysis.Timeline(), new JsonSerializerOptions()
{
WriteIndented = true
});
return(allText);
}
