Merge pull request #151 from OpenGVLab/openlane

Support openlane

autonomous_driving/openlane-v2/README.md

+## InternImage-based Baseline for CVPR23 OpenLane-V2 Challenge!!!!
+
+We improve our baseline with a more powerful image backbone: **InaternImage**, which shows its excellent ability within a series of leaderboards and benchmarks, such as *COCO* and *nuScenes*.
+
+
+#### 1. Requirements
+```bash
+python>=3.8
+torch==1.11
+mmcv-full>=1.5.2
+mmdet==2.28.0
+mmsegmentation==0.29.1
+timm
+```
+
+
+### 2. Install DCNv3 for InternImage
+```bash
+cd plugin/mmdet3d/baseline/models/backbones/ops_dcnv3
+bash make.sh
+```
+
+### 3. Train with InternImage-Small
+
+```bash
+./tools/dist_train.sh plugin/mmdet3d/configs/internimage-s.py 8
+```
+
+Notes: InternImage provides abundant pre-trained model weights that can be used!!!
+
+
+### 4. Performance compared to baseline
+
+|             | OpenLane-V2 Score | DET<sub>l</sub> | DET<sub>t</sub> | TOP<sub>ll</sub> | TOP<sub>lt</sub> | F-Score |
+|-------------|-------------------|-----------------|-----------------|------------------|------------------|---------|
+| base r50    | 0.292             | 0.183           | 0.457           | 0.022            | 0.143            | 0.215   |
+| InternImage | 0.325             | 0.194           | 0.537           | 0.02             | 0.17             | 0.224   |
+
+
+## Challenge Timeline
+- Pending - Challenge Period Open.
+- Jun 01, 2023 - Challenge Period End.
+- Jun 03, 2023 - Finalist Notification.
+- Jun 10, 2023 - Technical Report Deadline.
+- Jun 12, 2023 - Winner Announcement.
+<p align="right">(<a href="#top">back to top</a>)</p>
+
+
+## Leaderboard 
+To be released.
+
 <div id="top" align="center">
 
 # OpenLane-V2
@@ -236,12 +287,15 @@ Please use the following citation when referencing OpenLane-V2:
 }
 ```
 
-
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 ## License
+
+Before using the dataset, you should register on the website and agree to the terms of use of the [nuScenes](https://www.nuscenes.org/nuscenes).
+
 Our dataset is built on top of the [nuScenes](https://www.nuscenes.org/nuscenes) and [Argoverse 2](https://www.argoverse.org/av2.html) datasets.
 Before using the OpenLane-V2 dataset, you should agree to the terms of use of the [nuScenes](https://www.nuscenes.org/nuscenes) and [Argoverse 2](https://www.argoverse.org/av2.html) datasets respectively.
+
 All code within this repository is under [Apache License 2.0](./LICENSE).
 
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