public static void Picture2Model()
{
XEditorUtil.SetupEnv();
string name = "";
float[] args = new float[CNT];
float[] args2 = new float[CNT2];
if (ParseFromPicture(ref args, ref args2, ref name))
{
string str = "";
int shape = int.Parse(name[name.Length - 1].ToString());
for (int i = 0; i < CNT; i++)
{
str += i + "-" + args[i].ToString("f3") + " ";
}
Debug.Log(str);
NeuralData data = new NeuralData
{
callback = Capture,
boneArgs = args,
paintArgs = args2,
shape = (RoleShape)shape,
name = name
};
NeuralInput(data, true, true);
}
}
private static void Update()
{
var msg = connect.FetchMessage();
float[] args1 = new float[CNT];
float[] args2 = new float[CNT2];
Array.Copy(msg.param, args1, CNT);
Array.Copy(msg.param, 95, args2, 0, CNT2);
if (msg != null)
{
NeuralData data = new NeuralData
{
callback = Capture,
boneArgs = args1,
paintArgs = args2,
shape = msg.shape,
name = "neural_" + msg.name
};
NeuralInput(data, false, false);
MoveDestDir("neural_*", "cache/", false);
}
if (!connect.Connected)
{
EditorApplication.update -= Update;
}
}
private static void RandomExportModels()
{
XEditorUtil.SetupEnv();
float[] args = new float[CNT];
int expc = 1000;
FileStream fs = new FileStream(EXPORT + "db_description", FileMode.OpenOrCreate, FileAccess.Write);
BinaryWriter bw = new BinaryWriter(fs);
for (int j = 0; j < expc; j++)
{
int shape = UnityEngine.Random.Range(3, 5);
string name = string.Format("db_{0:000}_{1}", j, shape);
bw.Write(name);
for (int i = 0; i < CNT; i++)
{
args[i] = UnityEngine.Random.Range(0.0f, 1.0f);
bw.Write(args[i]);
}
NeuralData data = new NeuralData
{
callback = Capture,
boneArgs = args,
shape = (RoleShape)shape,
name = name
};
UnityEditor.EditorUtility.DisplayProgressBar("database", string.Format("is generating {0}/{1}", j, expc), (float)j / expc);
NeuralInput(data);
}
UnityEditor.EditorUtility.DisplayProgressBar("database", "post processing, wait for a moment", 1);
bw.Close();
fs.Close();
MoveDestDir("db_*", "database/");
UnityEditor.EditorUtility.ClearProgressBar();
}
private static void NeuralInput(NeuralData data)
{
var prev = ScriptableObject.CreateInstance <FashionPreview>();
prev.NeuralProcess(data);
FashionPreview.preview = prev;
}
private static void ProcessFile(FileInfo info)
{
if (info != null)
{
string file = info.FullName;
FileStream fs = new FileStream(file, FileMode.Open, FileAccess.Read);
float[] args = new float[CNT];
BinaryReader br = new BinaryReader(fs);
RoleShape shape = (RoleShape)br.ReadInt32();
for (int i = 0; i < CNT; i++)
{
args[i] = br.ReadSingle();
}
NeuralData data = new NeuralData
{
callback = Capture,
boneArgs = args,
shape = shape,
name = "model_" + info.Name.Replace(".bytes", "")
};
NeuralInput(data);
br.Close();
fs.Close();
}
}
public void NeuralProcess(NeuralData data)
{
OnEnable();
this.shape = data.shape;
CreateAvatar();
suit_select = UnityEngine.Random.Range(0, fashionInfo.Length - 1);
DrawSuit();
Update();
bone.NeuralProcess(data.boneArgs);
paint.NeuralProcess();
data.callback(data.name);
}
private static void NeuralInput(NeuralData data, bool complete, bool repaint)
{
if (repaint)
{
if (prev != null)
{
ScriptableObject.DestroyImmediate(prev); prev = null;
}
}
if (prev == null)
{
prev = ScriptableObject.CreateInstance <FashionPreview>();
}
prev.NeuralProcess(data, complete);
FashionPreview.preview = prev;
}
private static void ProcessFile(FileInfo info, bool complete)
{
if (info != null)
{
float[] args, args2;
var shape = ProcessFile(info, out args, out args2);
NeuralData data = new NeuralData
{
callback = Capture,
boneArgs = args,
paintArgs = args2,
shape = shape,
name = "model_" + info.Name.Replace(".bytes", "")
};
NeuralInput(data, complete, true);
}
}
private static void RandomExportModels(int expc, RoleShape shape, string prefix, bool noise, bool complete)
{
XEditorUtil.SetupEnv();
float[] args = new float[CNT];
FileStream fs = new FileStream(EXPORT + "db_description", FileMode.OpenOrCreate, FileAccess.Write);
BinaryWriter bw = new BinaryWriter(fs);
bw.Write(expc);
for (int j = 0; j < expc; j++)
{
string name = string.Format("db_{0:00000}_{1}", j, (int)shape);
bw.Write(name);
for (int i = 0; i < CNT; i++)
{
args[i] = UnityEngine.Random.Range(0.0f, 1.0f);
bw.Write(noise ? AddNoise(args[i], i) : args[i]);
}
float[] args2 = new float[CNT2];
int r = UnityEngine.Random.Range(0, 3);
args2[r] = 1;
r = UnityEngine.Random.Range(3, 6);
args2[r] = 1;
args2[6] = UnityEngine.Random.Range(0.2f, 0.8f);
args2[7] = UnityEngine.Random.Range(0.2f, 0.8f);
for (int i = 0; i < CNT2; i++)
{
bw.Write(args2[i]);
}
NeuralData data = new NeuralData
{
callback = Capture,
boneArgs = args,
paintArgs = args2,
shape = shape,
name = name
};
UnityEditor.EditorUtility.DisplayProgressBar(prefix, string.Format("is generating {0}/{1}", j, expc), (float)j / expc);
NeuralInput(data, complete, true);
}
UnityEditor.EditorUtility.DisplayProgressBar(prefix, "post processing, wait for a moment", 1);
bw.Close();
fs.Close();
MoveDestDir("db_*", prefix + "_" + shape.ToString().ToLower() + "/");
UnityEditor.EditorUtility.ClearProgressBar();
}