diff --git a/DeepTongue_feature_LabColor/feature_labColor/newcamera_deeplearning/Form_TIASAutomaticShootingSystem.cs b/DeepTongue_feature_LabColor/feature_labColor/newcamera_deeplearning/Form_TIASAutomaticShootingSystem.cs
index 16436f0..15d5e7c 100644
--- a/DeepTongue_feature_LabColor/feature_labColor/newcamera_deeplearning/Form_TIASAutomaticShootingSystem.cs
+++ b/DeepTongue_feature_LabColor/feature_labColor/newcamera_deeplearning/Form_TIASAutomaticShootingSystem.cs
@@ -63,11 +63,36 @@
                 mat_oriImg.CopyTo(mat_maskedImg, mat_finalMask);
 
                 // 5点クリック法（2010石川）
-                List<OpenCvSharp.Point> list_5points = Get5points(mat_finalMask);
+                //List<OpenCvSharp.Point> list_5points = Get5points(mat_finalMask);
 
                 // 8領域の取得
-                List<OpenCvSharp.Point> list_8area = Get8area(list_5points);
-                Show8area(mat_oriImg.Clone(), list_8area);
+                var p = @"D:\kei2\Study\Tongue\TongueColorAnalysis\automaze5click\Nakaguchi_clicked.csv";
+                var sr = new StreamReader(p);
+                var sw = new StreamWriter(@"D:\kei2\Study\Tongue\TongueColorAnalysis\automaze5click\ed.csv");
+                sr.ReadLine();
+                for (int i = 0; i < 102; i++)
+                {
+                    var li = new List<OpenCvSharp.Point>();
+                    var line = sr.ReadLine();
+                    var list_s = line.Split(',');
+                    for (int j = 2; j < list_s.Length; j = j + 2)
+                    {
+                        int x, y;
+                        int.TryParse(list_s[j], out x);
+                        int.TryParse(list_s[j + 1], out y);
+                        li.Add(new OpenCvSharp.Point(x, y));
+                    }
+                    List<OpenCvSharp.Point> list_8area = Get8area(li);
+                    foreach (var pa in list_8area)
+                    {
+                        sw.Write(pa.X + "," + pa.Y + ",");
+                    }
+                    sw.WriteLine();
+                }
+                sr.Close();
+                sw.Close();
+                //List<OpenCvSharp.Point> list_8area = Get8area(list_5points);
+                //Show8area(mat_oriImg.Clone(), list_8area);
                 
                 /*
                 // 色抽出
diff --git a/Tongue extraction_cropresizemethod/Tongue extraction/Form1.cs b/Tongue extraction_cropresizemethod/Tongue extraction/Form1.cs
index f23e387..cb68bd5 100644
--- a/Tongue extraction_cropresizemethod/Tongue extraction/Form1.cs
+++ b/Tongue extraction_cropresizemethod/Tongue extraction/Form1.cs
@@ -852,7 +852,7 @@
             using (MemoryStream ms = new MemoryStream())
             {
                 // ディレクトリglobの取得
-                var glob_dir = Directory.GetDirectories("data");
+                var glob_dir = Directory.GetDirectories(@"D:\kei2\Study\Tongue\TongueColorAnalysis\automaze5click\Dataset");
 
                 for (int a = 0; a < glob_dir.Length; a++)
                 {
@@ -987,11 +987,11 @@
                             var tensor = ImageUtil2.CreateTensorFromImageFile(byte_inputSegmentation);
                             var runner = session.GetRunner();
                             runner
-                            .AddInput(graph["generator/input_image"][0], tensor)
-                            .Fetch(graph["generator/prediction"][0]);
+                            //.AddInput(graph["generator/input_image"][0], tensor)
+                            //.Fetch(graph["generator/prediction"][0]);
 
-                            //.AddInput(graph["input_image"][0], tensor)
-                            //.Fetch(graph["generator1/decoder_1/Tanh"][0]);
+                            .AddInput(graph["input_image"][0], tensor)
+                            .Fetch(graph["generator1/decoder_1/Tanh"][0]);
 
                             var output = runner.Run();
                             float[,,,] resultfloat = (float[,,,])output[0].GetValue(jagged: false);