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 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(); }
public static void Model2Image() { XEditorUtil.SetupEnv(); string file = EditorUtility.OpenFilePanel("Select model file", MODEL, "bytes"); FileInfo info = new FileInfo(file); ProcessFile(info); HelperEditor.Open(EXPORT); }
public static void Model2Image() { XEditorUtil.SetupEnv(); string file = UnityEditor.EditorUtility.OpenFilePanel("Select model file", MODEL, "bytes"); FileInfo info = new FileInfo(file); ProcessFile(info); MoveDestDir("model_*", "regular/"); EditorUtility.Open(EXPORT + "regular/"); }
public static void BatchModels() { XEditorUtil.SetupEnv(); DirectoryInfo dir = new DirectoryInfo(MODEL); var files = dir.GetFiles("*.bytes"); for (int i = 0; i < files.Length; i++) { ProcessFile(files[i]); } MoveDestDir("model_*", "regular/"); }
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(); }