diff --git a/configs/local/strategy_generate_config.yaml b/configs/local/strategy_generate_config.yaml
index 09ccd46..7b88d9c 100644
--- a/configs/local/strategy_generate_config.yaml
+++ b/configs/local/strategy_generate_config.yaml
@@ -11,7 +11,7 @@ runner:
     root_dir: "experiments"
       
   generate:
-    voxel_threshold: 0.01
+    voxel_threshold: 0.003
     soft_overlap_threshold: 0.3
     hard_overlap_threshold: 0.6
     filter_degree: 75
@@ -21,15 +21,15 @@ runner:
     save_best_combined_points: False
     save_mesh: True
     overwrite: False
-    seq_num: 10
+    seq_num: 15
     dataset_list:
       - OmniObject3d
   
 datasets:
     OmniObject3d:
       #"/media/hofee/data/data/temp_output"
-      root_dir: "/media/hofee/data/data/box_output" 
-      model_dir: "/media/hofee/data/data/box_object_meshes"
+      root_dir: /media/hofee/repository/full_data_output 
+      model_dir: /media/hofee/data/data/scaled_object_meshes
       from: 0
       to: -1 # -1 means end
       #output_dir: "/media/hofee/data/data/label_output"
diff --git a/preprocess/preprocessor.py b/preprocess/preprocessor.py
index eff5ceb..c6a9338 100644
--- a/preprocess/preprocessor.py
+++ b/preprocess/preprocessor.py
@@ -9,12 +9,15 @@ from utils.reconstruction import ReconstructionUtil
 from utils.data_load import DataLoadUtil
 from utils.pts import PtsUtil
 
+# scan shoe 536
+
 def save_np_pts(path, pts: np.ndarray, file_type="txt"):
     if file_type == "txt":
         np.savetxt(path, pts)
     else:
         np.save(path, pts)
 
+
 def save_target_points(root, scene, frame_idx, target_points: np.ndarray, file_type="txt"):
     pts_path = os.path.join(root,scene, "pts", f"{frame_idx}.{file_type}")
     if not os.path.exists(os.path.join(root,scene, "pts")):
@@ -87,7 +90,7 @@ def save_scene_data(root, scene, scene_idx=0, scene_total=1,file_type="txt"):
     target_mask_label = (0, 255, 0, 255)
     display_table_mask_label=(0, 0, 255, 255)
     random_downsample_N = 32768
-    voxel_size=0.002
+    voxel_size=0.003
     filter_degree = 75
     min_z = 0.2
     max_z = 0.5
@@ -164,7 +167,7 @@ if __name__ == "__main__":
     #         scene_list.append(line.strip())
     scene_list = os.listdir(root)
     from_idx = 0 # 1000
-    to_idx = len(scene_list) # 1500
+    to_idx = 700 # 1500
     print(scene_list)
 
 
@@ -173,7 +176,7 @@ if __name__ == "__main__":
     total = to_idx - from_idx
     for scene in scene_list[from_idx:to_idx]:
         start = time.time()
-        save_scene_data(root, scene, cnt, total, file_type="txt")
+        save_scene_data(root, scene, cnt, total, file_type="npy")
         cnt+=1
         end = time.time()
         print(f"Time cost: {end-start}")
diff --git a/runners/strategy_generator.py b/runners/strategy_generator.py
index a9872a2..cf66224 100644
--- a/runners/strategy_generator.py
+++ b/runners/strategy_generator.py
@@ -102,7 +102,7 @@ class StrategyGenerator(Runner):
         seq_num = min(self.seq_num, non_zero_cnt)
         init_view_list = []
         idx = 0
-        while len(init_view_list) < seq_num:
+        while len(init_view_list) < seq_num and idx < len(pts_list):
             if pts_list[idx].shape[0] > 100:
                 init_view_list.append(idx)
             idx += 1
diff --git a/runners/view_generator.py b/runners/view_generator.py
index f847494..2e28c44 100644
--- a/runners/view_generator.py
+++ b/runners/view_generator.py
@@ -9,7 +9,8 @@ class ViewGenerator(Runner):
         self.config_path = config_path
         
     def run(self):
-        subprocess.run(['blender', '-b', '-P', '../blender/run_blender.py', '--', self.config_path])
+        result = subprocess.run(['blender', '-b', '-P', '../blender/run_blender.py', '--', self.config_path])
+        print()
 
     def create_experiment(self, backup_name=None):
         return super().create_experiment(backup_name)