static void Main(string[] args)
{
string workDir = ConfigurationManager.AppSettings["WorkDir"];
string tensorBoardLogs = Path.Combine(workDir, "Logs");
List <string> index = new List <string>();
Directory.SetCurrentDirectory("..\\..\\..\\PythonScripts");
if (!Directory.Exists(tensorBoardLogs))
{
Directory.CreateDirectory(tensorBoardLogs);
}
PythonProcess blender = new PythonProcess("Blender");
blender.EnsureCreated();
blender.Connect();
PythonProcess Tf = new PythonProcess("Tf");
Tf.EnsureCreated();
Tf.Connect();
string dir = Directory.GetFiles(workDir, "Checkpoint_*").Where(i => !i.Contains("epoch")).OrderByDescending(i => i).FirstOrDefault();
if (dir != null)
{
Tf.Call("load", dir);
//Tf.Call("dump", "c:\\temp\\b.txt");
}
else
{
Tf.Call("build_model");
}
Tf.Call("enable_tensorboard", tensorBoardLogs);
while (true)
{
for (int i = 0; i < 60; i++)
{
string filePath = Path.Combine(workDir, "image" + i + ".jpg");
blender.Call("renderImage", filePath, i % 6);
index.Add((i % 6) + "|" + filePath);
}
string indexFile = Path.Combine(workDir, "index.txt");
File.WriteAllLines(indexFile, index.ToArray());
Tf.Call("loadDataset", indexFile);
Tf.Call("fit");
//Tf.Call("evaluate");
Tf.Call("save", Path.Combine(workDir, "Checkpoint_" + DateTime.Now.ToString("yyyyMMdd_HHmmss")));
//Tf.Call("dump", "c:\\temp\\a.txt");
}
}