[Fix] Fix typo in docs (#2565)

docs/en/user_guides/dataset_prepare.md

@@ -115,7 +115,7 @@ sh tools/create_data.sh <partition> kitti
 - **Ready-made Annotations**. We have also provided kitti data annotation files generated offline [here](#summary-of-annotation-files). You could download them and place them under `data/kitti/`. However, if you want to use `ObjectSample` Augmentation in LiDAR-based detection methods, you should additionally generate groundtruth database files and annotations.
 
   ```bash
-  python tools/create_data.py kitti --root-path ./data/kitti --out-dir ./data/kitti --extra-tag kitti --only-gt-databse
+  python tools/create_data.py kitti --root-path ./data/kitti --out-dir ./data/kitti --extra-tag kitti --only-gt-database
   ```
 
 ### Waymo
@@ -171,7 +171,7 @@ python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./dat
 - **Ready-made Annotations**. We have also provided NuScenes data annotation files generated offline [here](#summary-of-annotation-files). You could download them and place them under `data/nuscenes/`. However, if you want to use `ObjectSample` Augmentation in LiDAR-based detection methods, you should additionally generate groundtruth database files and annotations.
 
 ```bash
-python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --only-gt-databse
+python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --only-gt-database
 ```
 
 ### Lyft

docs/zh_cn/user_guides/dataset_prepare.md

@@ -106,7 +106,7 @@ sh tools/create_data.sh <partition> kitti
 - **现成的标注文件**：我们已经提供了离线处理好的 [KITTI 标注文件](#数据集标注文件列表)。您直接下载他们并放到 `data/kitti/` 目录下。然而，如果你想在点云检测方法中使用 `ObjectSample` 这一数据增强，你可以再额外使用以下命令来生成物体标注框数据库：
 
 ```bash
-python tools/create_data.py kitti --root-path ./data/kitti --out-dir ./data/kitti --extra-tag kitti --only-gt-databse
+python tools/create_data.py kitti --root-path ./data/kitti --out-dir ./data/kitti --extra-tag kitti --only-gt-database
 ```
 
 ### Waymo
@@ -160,7 +160,7 @@ python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./dat
 - **现成的标注文件**：我们已经提供了离线处理好的 [NuScenes 标注文件](#数据集标注文件列表)。您直接下载他们并放到 `data/nuscenes/` 目录下。然而，如果你想在点云检测方法中使用 `ObjectSample` 这一数据增强，你可以再额外使用以下命令来生成物体标注框数据库：
 
 ```bash
-python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --only-gt-databse
+python tools/create_data.py nuscenes --root-path ./data/nuscenes --out-dir ./data/nuscenes --extra-tag nuscenes --only-gt-database
 ```
 
 ### Lyft

tools/create_data.py

@@ -272,7 +272,7 @@ parser.add_argument('--extra-tag', type=str, default='kitti')
 parser.add_argument(
     '--workers', type=int, default=4, help='number of threads to be used')
 parser.add_argument(
-    '--only-gt-databse',
+    '--only-gt-database',
     action='store_true',
     help='Whether to only generate ground truth database.')
 args = parser.parse_args()
@@ -282,7 +282,7 @@ if __name__ == '__main__':
     register_all_modules()
 
     if args.dataset == 'kitti':
-        if args.only_gt_databse:
+        if args.only_gt_database:
             create_groundtruth_database(
                 'KittiDataset',
                 args.root_path,
@@ -299,7 +299,7 @@ if __name__ == '__main__':
                 out_dir=args.out_dir,
                 with_plane=args.with_plane)
     elif args.dataset == 'nuscenes' and args.version != 'v1.0-mini':
-        if args.only_gt_databse:
+        if args.only_gt_database:
             create_groundtruth_database('NuScenesDataset', args.root_path,
                                         args.extra_tag,
                                         f'{args.extra_tag}_infos_train.pkl')
@@ -321,7 +321,7 @@ if __name__ == '__main__':
                 out_dir=args.out_dir,
                 max_sweeps=args.max_sweeps)
     elif args.dataset == 'nuscenes' and args.version == 'v1.0-mini':
-        if args.only_gt_databse:
+        if args.only_gt_database:
             create_groundtruth_database('NuScenesDataset', args.root_path,
                                         args.extra_tag,
                                         f'{args.extra_tag}_infos_train.pkl')