diff --git a/scripts/calculate_error.py b/scripts/calculate_error.py
index c290dcc..83b1b84 100644
--- a/scripts/calculate_error.py
+++ b/scripts/calculate_error.py
@@ -13,13 +13,13 @@ parser.add_argument('-g', '--gpu', type=str)
 args = vars(parser.parse_args())
 
 if args['debug']:
-    from configs.iccvw.pyr_64_128_cape_f_2 import config
+    from configs.iccvw.pyr_64_128_cape_f_2 import config_1
 else:
     config_module = importlib.import_module(args['config'])
-    config = config_module.config
+    config_1 = config_module.config
 
 os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"
-os.environ["CUDA_VISIBLE_DEVICES"] = config['gpu']
+os.environ["CUDA_VISIBLE_DEVICES"] = config_1['gpu']
 if args['debug']:
     os.environ["CUDA_LAUNCH_BLOCKING"] = '1'
 
@@ -66,10 +66,10 @@ def calculate():
         # fig.show()
 
         pred = np.load(f'{out_folder}/{frame}.npz')['arr_0']
-        gt = readPC2Frame(f'{config["test_dir"]}/mesh_posed_no_orient/{frame.id}_{frame.garment}.pc16', frame.frame_nr, True)
+        gt = readPC2Frame(f'{config_1["test_dir"]}/mesh_posed_no_orient/{frame.id}_{frame.garment}.pc16', frame.frame_nr, True)
         # mask = np.load(f'{config["test_dir"]}/mesh_mask/{frame.id}_{frame.garment}.npy')
 
-        fix_data = np.load(f'{config["test_dir"]}/mesh_fixed/{frame.id}_{frame.garment}.npz')
+        fix_data = np.load(f'{config_1["test_dir"]}/mesh_fixed/{frame.id}_{frame.garment}.npz')
         mask_convert = fix_data['mas_convert']
         new_mask = fix_data['mask']
 
@@ -113,8 +113,8 @@ def calculate_cape():
 
 
         pred = np.load(f'{out_folder}/{frame}.npz')['arr_0']
-        gt = np.load(f'{config["test_dir"]}/mesh_unposed_no_shape/{frame.id}.{frame.frame_nr}.npz')['mesh_unposed_no_shape']
-        pose_shape = np.load(f'{config["test_dir"]}/pose_shape/{frame.id}.{frame.frame_nr}.npy').astype(np.float32)
+        gt = np.load(f'{config_1["test_dir"]}/mesh_unposed_no_shape/{frame.id}.{frame.frame_nr}.npz')['mesh_unposed_no_shape']
+        pose_shape = np.load(f'{config_1["test_dir"]}/pose_shape/{frame.id}.{frame.frame_nr}.npy').astype(np.float32)
         pose, shape = pose_shape[:72], pose_shape[72:]
         gender = int(shape[10] >= 0.5)
         shape_offsets = torch.tensordot(torch.from_numpy(shape[:10][None, :]), smpl.shapedirs[gender], dims=[[1], [2]])[0,smpl.to_keep,:].numpy()
@@ -139,7 +139,7 @@ def calculate_cape():
     with open(f'{results_folder}/errors/{name}.csv', 'w') as f:
         for frame, error in errors:
             split = str(frame).split('_')
-            if not config['is_cape']:
+            if not config_1['is_cape']:
                 frame_str = ','.join(split)
             else:
                 id = '_'.join(split[:-2])
@@ -148,13 +148,13 @@ def calculate_cape():
 
 
 if __name__ == '__main__':
-    skirt_modifier = '_skirt' if config['is_skirt'] else ''
+    skirt_modifier = '_skirt' if config_1['is_skirt'] else ''
 
-    name = config['name']
+    name = config_1['name']
 
     results_folder = '/data-local/127_2/results'
     if args['iteration'] == '':
-        folders = [f for f in os.listdir(results_folder) if os.path.isdir(os.path.join(results_folder, f)) and f.startswith(config['name'])]
+        folders = [f for f in os.listdir(results_folder) if os.path.isdir(os.path.join(results_folder, f)) and f.startswith(config_1['name'])]
         assert len(folders) == 1
         name = folders[0]
     else:
@@ -163,13 +163,13 @@ if __name__ == '__main__':
 
     os.makedirs(f'{results_folder}/errors', exist_ok=True)
 
-    if config['is_cape']:
+    if config_1['is_cape']:
         from data.dataset_cape import read_frames
-        frames = read_frames(config['test_dir'], shuffle=False, is_cape=True)
+        frames = read_frames(config_1['test_dir'], shuffle=False, is_cape=True)
         calculate_cape()
     else:
-        frames_file = config['test_frames']
-        with open(os.path.join(config['test_dir'], frames_file), 'r') as f:
+        frames_file = config_1['test_frames']
+        with open(os.path.join(config_1['test_dir'], frames_file), 'r') as f:
             frames = f.readlines()
         frames = [Frame(frames.split()[0], int(frames.split()[1]), frames.split()[2]) for frames in frames]