diff --git a/data/calculate_normals.py b/data/calculate_normals.py
index a978384..56803fb 100644
--- a/data/calculate_normals.py
+++ b/data/calculate_normals.py
@@ -62,8 +62,8 @@ def get_frames(folder):
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
-    parser.add_argument("-f", "--folder", help = "end of range", default='')
-    parser.add_argument("-f_obj", "--folder_object", help = "end of range", default='/')
+    parser.add_argument("-f", "--folder", help = "end of range", default='/data-net/dataset/00761')
+    parser.add_argument("-f_obj", "--folder_object", help = "end of range", default='/data-net/dataset/cloth3d/train')
     parser.add_argument("-s", "--start", help = "start of range", default=0)
     parser.add_argument("-e", "--end", help = "end of range", default=10)
     parser.add_argument("-n", "--name", help = "end of range", default='lhunor')
diff --git a/data/investigate.py b/data/investigate.py
index 7105ef1..d0e2f53 100644
--- a/data/investigate.py
+++ b/data/investigate.py
@@ -242,22 +242,25 @@ def check(folder, frame):
 
 
 def remask(folder, frame, mask, out_folder):
-    id, frame_nr, garment = frame.split()
+    id, frame_nr = frame.split('_')
     frame_nr = int(frame_nr)
-    info = loadInfo(os.path.join(folder, id, 'info.mat'))
 
     if frame_nr == 0:
-        mesh_static = read_static_garment(folder, id, garment)
+        mesh_static = np.load(os.path.join(folder, 'mesh_static', f'{id}.npz'))['mesh_static']
+        mesh_static_new = np.zeros((14475,3), dtype=np.float32)
+        mesh_static_new[mask,:] = mesh_static[mask,:]
+        np.savez_compressed(os.path.join(out_folder, 'mesh_static', f'{id}.npz'), mesh_static=mesh_static_new)
 
-    mesh_posed = read_posed_garment_frame(folder, id, garment, frame_nr, mask=None, shape=None, pose=info['poses'][:,frame_nr], deorient=True, unshape=None)
-    mesh_posed = mesh_posed[mask,:]
-    os.makedirs(os.path.join(out_folder, 'mesh_posed_no_orient'), exist_ok=True)
+    # mesh_posed = read_posed_garment_frame(folder, id, garment, frame_nr, mask=None, shape=None, pose=info['poses'][:,frame_nr], deorient=True, unshape=None)
+    mesh_posed = np.load(os.path.join(folder, 'mesh_posed_no_orient', f'{id}_{frame_nr}.npz'))['mesh_posed_no_orient']
+    mesh_posed_new = np.zeros((14475,3), dtype=np.float32)
+    mesh_posed_new[mask,:] = mesh_posed[mask,:]
     np.savez_compressed(os.path.join(out_folder, 'mesh_posed_no_orient', f'{id}_{frame_nr}.npz'), mesh_posed_no_orient=mesh_posed)
 
 
 
 if __name__ == "__main__":
-    folder = r'D:\Work\Dataset\cloth3d\train'
+    folder = '/data-local/127/train'
     frames = [f'00761_{i}' for i in range(300)]
     root = '/'.join(folder.split('/')[:-1])
     type = folder.split('/')[-1]
@@ -270,12 +273,13 @@ if __name__ == "__main__":
     orient_mod = '_no_orient' if use_no_orient else ''
     shape_mod = '_no_shape' if no_shape else ''
 
+    mask = np.load('/data-net/dataset/00761/mesh_mask/00761.npy')
+    faces = np.load('/data-net/dataset/00761/faces/00761.npy')
 
-    while True:
-        frame = random.choice(frames)
-        frame = '00761 0 Tshirt'
+    for frame in frames:
+        # frame = random.choice(frames)
+        # frame = '00761 0 Tshirt'
 
-        mask, faces = check(folder, frame)
-        remask(folder, frame, mask, 'temp/00761')
+        remask(folder, frame, mask, '/data-net/dataset/00761')
 
         pass