change to fstring

configs/votenet/README.md

-# Deep Hough Voting for 3D Object Detection in Point Clouds
-## Introduction
-```
-@inproceedings{qi2019deep,
-    author = {Qi, Charles R and Litany, Or and He, Kaiming and Guibas, Leonidas J},
-    title = {Deep Hough Voting for 3D Object Detection in Point Clouds},
-    booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
-    year = {2019}
-}
-```
-
-## Results and models
-
-|    Backbone     |  Style  | Lr schd | Mem (GB) | Inf time (fps) | box AP | Download |
-
-## Different regression loss
-|    Backbone     | Loss type | Mem (GB) | Inf time (fps) | box AP | Download |
-
-## Pre-trained Models
-|    Backbone     |  Style  | Lr schd | Mem (GB) | Inf time (fps) | box AP | Download |

data/scannet/batch_load_scannet_data.py

@@ -47,7 +47,7 @@ def export_one_scan(scan_name, output_filename_prefix, max_num_point,
 
     bbox_mask = np.in1d(instance_bboxes[:, -1], OBJ_CLASS_IDS)
     instance_bboxes = instance_bboxes[bbox_mask, :]
-    print('Num of care instances: ', instance_bboxes.shape[0])
+    print(f'Num of care instances: {instance_bboxes.shape[0]}')
 
     N = mesh_vertices.shape[0]
     if N > max_num_point:
@@ -82,7 +82,7 @@ def batch_export(max_num_point, output_folder, train_scan_names_file,
             export_one_scan(scan_name, output_filename_prefix, max_num_point,
                             label_map_file, scannet_dir)
         except Exception:
-            print('Failed export scan: %s' % (scan_name))
+            print(f'Failed export scan: {scan_name}')
         print('-' * 20 + 'done')
 
 

data/scannet/load_scannet_data.py

@@ -72,7 +72,7 @@ def export(mesh_file,
         output_file(str): Path of the output folder.
             Default: None.
 
-    Returns:
+    It returns a tuple, which containts the the following things:
         ndarray: Vertices of points data.
         ndarray: Indexes of label.
         ndarray: Indexes of instance.