Update download link and relative paths

Author: Tianyu Li

docs/CHALLENGE.md

@@ -72,7 +72,7 @@ system will render point clouds by ray directions and provided depth for chamfer
 
 ### Submission <a name="submission"></a>
 
-Download the [openscene_metadata_private_test_wm.pkl](https://huggingface.co/datasets/OpenDriveLab/OpenScene/resolve/main/openscene-v1.1/openscene_metadata_private_test_wm.tgz?download=true) (7.3 MB) and 
+Download the [openscene_metadata_private_test_wm.tgz](https://huggingface.co/datasets/OpenDriveLab/OpenScene/resolve/main/openscene-v1.1/openscene_metadata_private_test_wm.tgz?download=true) (7.3 MB) and 
 [sensor_data](https://huggingface.co/datasets/OpenDriveLab/OpenScene/resolve/main/openscene-v1.1/openscene_sensor_private_test_wm.tgz?download=true) (15 GB) for private test set, then prepare the
 submission as the followings.
 

docs/DATASET.md

@@ -19,7 +19,7 @@ the `Camera` sensor data and the `LiDAR` sensor data. We also provide the links
   - `mini-set` openscene_metadata_mini.tgz (509.6 MB): [Google Drive](https://drive.google.com/drive/folders/1MnRwhnEBsgZxbaleHxc3Gw7Ovc4I9az1?usp=sharing) / [Hugging Face](https://huggingface.co/datasets/OpenDriveLab/OpenScene/resolve/main/openscene-v1.1/openscene_metadata_mini.tgz?download=true) 
   - `trainval-set` openscene_metadata_trainval.tgz (6.6 GB): [Google Drive](https://drive.google.com/drive/folders/1MnRwhnEBsgZxbaleHxc3Gw7Ovc4I9az1?usp=sharing) / [Hugging Face](https://huggingface.co/datasets/OpenDriveLab/OpenScene/resolve/main/openscene-v1.1/openscene_metadata_trainval.tgz?download=true)
   - `test-set` openscene_metadata_test.tgz (454 MB): [Google Drive](https://drive.google.com/drive/folders/1MnRwhnEBsgZxbaleHxc3Gw7Ovc4I9az1?usp=sharing) / [Hugging Face](https://huggingface.co/datasets/OpenDriveLab/OpenScene/resolve/main/openscene-v1.1/openscene_metadata_test.tgz?download=true)
-  - `private-test-set` openscene_metadata_private_test_wm.pkl (26.8 MB): [Hugging Face](https://huggingface.co/datasets/OpenDriveLab/OpenScene/resolve/main/openscene-v1.1/openscene_metadata_private_test_wm.pkl?download=true)
+  - `private-test-set` openscene_metadata_private_test_wm.tgz (7.3 MB): [Hugging Face](https://huggingface.co/datasets/OpenDriveLab/OpenScene/resolve/main/openscene-v1.1/openscene_metadata_private_test_wm.tgz?download=true)
 
 After downloading and unzipping all the data, soft linking those source data files to the `ViDAR/data` folder as the following structure.
 
@@ -31,16 +31,17 @@ ViDAR
 │   └── r101_dcn_fcos3d_pretrain.pth
 └── data/
     └── openscene-v1.1
-        ├── openscene_metadata_private_test_wm.pkl
         ├── meta_datas
         |     ├── mini
         │     │     ├── 2021.05.12.22.00.38_veh-35_01008_01518.pkl
         │     │     ├── 2021.05.12.22.28.35_veh-35_00620_01164.pkl
         │     │     ├── ...
         │     │     └── 2021.10.11.08.31.07_veh-50_01750_01948.pkl
         |     ├── trainval
-        |     └── test
-        |     
+        |     ├── test
+        |     └── private_test_wm
+        │          └── private_test_wm.pkl
+        |
         └── sensor_blobs
               ├── mini
               │    ├── 2021.05.12.22.00.38_veh-35_01008_01518                                           

projects/configs/vidar_pretrain/OpenScene/submit_vidar_OpenScene_mini_full_3future.py

@@ -273,7 +273,7 @@
 data_root = f'data/openscene-v1.1/sensor_blobs/{data_split}'
 # Ignore the train_ann_pickle_root for submission.
 train_ann_pickle_root = f'data/openscene-v1.1/openscene_{data_split}_train.pkl'
-val_ann_pickle_root = f'data/openscene-v1.1/openscene_metadata_private_test_wm.pkl'
+val_ann_pickle_root = f'data/openscene-v1.1/meta_datas/private_test_wm/private_test_wm.pkl'
 file_client_args = dict(backend='disk')
 
 train_pipeline = [

tools/validate_hf_submission.py

@@ -5,7 +5,7 @@
 from projects.mmdet3d_plugin.datasets.pipelines.nuplan_loading import PointCloud
 
 dt_path = sys.argv[1]
-meta_file = 'data/openscene-v1.1/openscene_metadata_private_test_wm.pkl'
+meta_file = 'data/openscene-v1.1/meta_datas/private_test_wm/private_test_wm.pkl'
 sensor_blob_root = 'data/openscene-v1.1/sensor_blobs/private_test_wm/'
 meta_info = mmcv.load(meta_file)