public Form1()
{
SetDpiAwareness();
InitializeComponent();
WriteToLog("PippoFPS PUBG Killtrigger Started!");
float value = (generalColorThreshold / 250f) * 100f;
tBColorThreshold.Value = Convert.ToInt16(value);
tBColorThreshold.Update();
this.Show();
this.Refresh();
//Get OBS Preview Window to capture
IntPtr windowhandle = IntPtr.Zero;
while (windowhandle == IntPtr.Zero)
{
//Let User Pick Process
using (var form = new ProcessPicker("obs"))
{
var result = form.ShowDialog();
if (result == DialogResult.OK)
{
windowhandle = form.WindowHandle;
}
else
{
form.Dispose();
}
}
}
gcaptr.SetWindowHandle = windowhandle;
//OBS Remote
obsRemote = OBSRemote.Instance;
WriteToLog(obsRemote.Connect());
GetAllScreenComponents();
string modelpath = @"./learning/KillDetectionModel.mdl";
if (File.Exists(modelpath))
{
learninghelper = new LearningHelper(modelpath);
}
}
private void Worker_LearnThresholds_DoWork(object sender, DoWorkEventArgs e)
{
LearningHelper learninghelper = new LearningHelper();
int samplescollected = 0;
while (!Worker_LearnThresholds.CancellationPending)
{
while (GetKillNumber() == 0 && !Worker_LearnThresholds.CancellationPending)
{
ScreenData scrData = GetScreenData();
if (GetKillNumber() == 0)
{
scrData.Kill = false;
learninghelper.AddData(scrData);
samplescollected++;
}
}
List <int> thisKill = new List <int>();
while (GetKillNumber() > 0 && !Worker_LearnThresholds.CancellationPending)
{
ScreenData scrData = GetScreenData();
if (GetKillNumber() > 0)
{
scrData.Kill = true;
learninghelper.AddData(scrData);
samplescollected++;
}
}
}
Worker_LearnThresholds.ReportProgress(0, String.Format("Collected a total of {0} samples", samplescollected));
Worker_LearnThresholds.ReportProgress(0, "Creating model from samples....");
double accuracy = learninghelper.LearnFromData(5000);
Worker_LearnThresholds.ReportProgress(0, String.Format("Model created. Accuracy on 20% of testdata is {0}", accuracy));
learninghelper.SaveModel(@"./learning/KillDetectionModel.mdl");
}