private void runPython()
{
PipeClient client;
python = new PythonExecutor();
if (!python.CanRun)
{
if (System.IO.File.Exists("Python35\\python.exe"))
{
python = new PythonExecutor("Python35\\python.exe");
}
else if (MessageBox.Show("Unable to find python.\nDo you want to download an example interpreter from cheonghyun.com?", "IpcPythonCS", MessageBoxButtons.YesNo, MessageBoxIcon.Question)
== System.Windows.Forms.DialogResult.Yes)
{
PythonDownloader down = new PythonDownloader();
down.DownloadAndUnzip();
python = new PythonExecutor(down.PythonInterpreter.FullName);
}
else
{
MessageBox.Show("This application cannot run without Python.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Exclamation);
}
}
python.RunScript("main.py");
client = new PipeClient();
client.Connect("calculator");
calculator = new PyCalculator(client);
}
private void Init()
{
isFirstLoad = true;
Predictions = null;
python = !string.IsNullOrEmpty(pythonPath) ? new PythonExecutor(pythonPath) : new PythonExecutor();
python.AddStandartOutputErrorFilters("Using TensorFlow backend.");
python.AddStandartOutputErrorFilters("CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected");
client = new PipeClient();
predict = new Predict(client);
python.OnPythonError += Python_OnPythonError;
TinfoBox.Start(initText, title);
python.RunScript("main.py");
client.Connect("openstsm");
}
public void RunSelectiveSearch()
{
Predict predict;
PythonExecutor python = new PythonExecutor(@"C:\Users\kutiatore\AppData\Local\Programs\Python\Python35\python.exe");
python.AddStandartOutputErrorFilters("Using TensorFlow backend.");
python.AddStandartOutputErrorFilters("CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected");
PipeClient client = new PipeClient();
predict = new Predict(client);
try
{
python.RunScript("main.py");
client.Connect("openstsm");
predict = new Predict(client);
bool run = predict.LoadModel(@"E:\\Storage\\Python\\OpenSTSM\\ML\\models\\model.model");
run = predict.ImageDimessionCorrections("E:\\Libraries\\Desktop\\Visa Docs\\test_selective_1.png");
run = predict.RunSelectiveSearch(80, 1.0f);
string results = predict.RunPrediction(5, 3, 5, 1, 8, 2, true);
client.Close();
python.Close();
}
catch (System.Exception e)
{
System.Diagnostics.Debug.WriteLine("---------------------");
System.Diagnostics.Debug.WriteLine(e.StackTrace);
System.Diagnostics.Debug.WriteLine("---------------------");
if (client.isConnected())
{
client.Close();
}
python.Close();
}
}