[Refactor] add `--ceph` in args parse (#1793)

* update ceph in command

* update comments

* update

* fix lint

docs/en/notes/compatibility.md

@@ -7,8 +7,8 @@
 In this version, we make large refactoring based on MMEngine to achieve unified data elements, model interfaces, visualizers, evaluators and other runtime modules across different datasets, tasks and even codebases. A brief summary for this refactoring is as follows:
 
 - Data Element:
-  - We add [`Det3DDataSample`](https://github.com/open-mmlab/mmdetection3d/blob/dev-1.x/mmdet3d/structures/det3d_data_sample.py) as the common data element passing through datasets and models. It inherits from [`DetDataSample`]([https://github.com/open-mmlab/mmdetection3d/blob/dev-1.x/mmdet3d/structures/det3d_data_sample.py](https://github.com/open-mmlab/mmdetection/blob/dev-3.x/mmdet/structures/det_data_sample.py)) in mmdetection and implement ``InstanceData``, ``PixelData``, and
-``LabelData`` inheriting from ``BaseDataElement`` in MMEngine to represent different types of ground truth labels or predictions.
+  - We add [`Det3DDataSample`](https://github.com/open-mmlab/mmdetection3d/blob/dev-1.x/mmdet3d/structures/det3d_data_sample.py) as the common data element passing through datasets and models. It inherits from [`DetDataSample`](<%5Bhttps://github.com/open-mmlab/mmdetection3d/blob/dev-1.x/mmdet3d/structures/det3d_data_sample.py%5D(https://github.com/open-mmlab/mmdetection/blob/dev-3.x/mmdet/structures/det_data_sample.py)>) in mmdetection and implement `InstanceData`, `PixelData`, and
+    `LabelData` inheriting from `BaseDataElement` in MMEngine to represent different types of ground truth labels or predictions.
 - Datasets:
   - We add [`Det3DDataset`](https://github.com/open-mmlab/mmdetection3d/blob/dev-1.x/mmdet3d/datasets/det3d_dataset.py) and [`Seg3DDataset`](https://github.com/open-mmlab/mmdetection3d/blob/dev-1.x/mmdet3d/datasets/seg3d_dataset.py) as the base datasets to inherit from the unified `BaseDataset` in MMEngine. They implement most functions that are commonly used across different datasets and simplify the info loading/processing in the current datasets. Re-defined input arguments and functions can be most re-used in different datasets, which are important for the implementation of customized datasets.
   - We define the common keys across different datasets and unify all the info files with a standard protocol. The same info is more clear for users because they share the same key across different dataset infos. Besides, for different settings, such as camera-only and LiDAR-only methods, we no longer need different info formats (like the previous pkl and json files). We can just revise the `parse_data_info` to read the necessary information from a complete info file.

tools/test.py

@@ -19,6 +19,8 @@ def parse_args():
     parser.add_argument(
         '--work-dir',
         help='the directory to save the file containing evaluation metrics')
+    parser.add_argument(
+        '--ceph', action='store_true', help='Use ceph as data storage backend')
     parser.add_argument(
         '--show', action='store_true', help='show prediction results')
     parser.add_argument(
@@ -80,6 +82,8 @@ def main():
     # load config
     cfg = Config.fromfile(args.config)
 
+    # TODO: We will unify the ceph support approach with other OpenMMLab repos
+    if args.ceph:
         cfg = replace_ceph_backend(cfg)
 
     cfg.launcher = args.launcher

tools/train.py

@@ -29,6 +29,8 @@ def parse_args():
         '--resume',
         action='store_true',
         help='resume from the latest checkpoint in the work_dir automatically')
+    parser.add_argument(
+        '--ceph', action='store_true', help='Use ceph as data storage backend')
     parser.add_argument(
         '--cfg-options',
         nargs='+',
@@ -60,6 +62,8 @@ def main():
     # load config
     cfg = Config.fromfile(args.config)
 
+    # TODO: We will unify the ceph support approach with other OpenMMLab repos
+    if args.ceph:
         cfg = replace_ceph_backend(cfg)
 
     cfg.launcher = args.launcher