Bump version to 1.1.0 (#2380)

* init commit

* add contribution guides link

* polish docs

* rename 1.1.0 and corresponding modification

* polish docs

* polish docs

* minor fix

README.md

@@ -18,7 +18,7 @@
   </div>
   <div>&nbsp;</div>
 
-[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmdetection3d.readthedocs.io/en/1.1/)
+[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmdetection3d.readthedocs.io/en/latest/)
 [![badge](https://github.com/open-mmlab/mmdetection3d/workflows/build/badge.svg)](https://github.com/open-mmlab/mmdetection3d/actions)
 [![codecov](https://codecov.io/gh/open-mmlab/mmdetection3d/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmdetection3d)
 [![license](https://img.shields.io/github/license/open-mmlab/mmdetection3d.svg)](https://github.com/open-mmlab/mmdetection3d/blob/master/LICENSE)
@@ -52,6 +52,10 @@
 **We have renamed the branch `1.1`  to `main` and switched the default branch from `master` to `main`. We encourage
 users to migrate to the latest version, though it comes with some cost. Please refer to [Migration Guide](docs/en/migration.md) for more details.**
 
+**v1.1.0** was released in 6/4/2023
+
+We have supported more LiDAR-based segmentation methods, including Cylinder3D, MinkUNet and SPVCNN. More new features about 3D perception are on the way. Please stay tuned!
+
 **v1.1.0rc3** was released in 7/1/2023
 
 The compatibilities of models are broken due to the unification and simplification of coordinate systems after v1.0.0rc0. For now, most models are benchmarked with similar performance, though few models are still being benchmarked. In the following release, we will update all the model checkpoints and benchmarks. See more details in the [Changelog](docs/en/notes/changelog.md) and [Changelog-v1.0.x](docs/en/notes/changelog_v1.0.x.md).
@@ -78,7 +82,7 @@ a part of the OpenMMLab project developed by [MMLab](http://mmlab.ie.cuhk.edu.hk
 - **Support indoor/outdoor 3D detection out of box**
 
   It directly supports popular indoor and outdoor 3D detection datasets, including ScanNet, SUNRGB-D, Waymo, nuScenes, Lyft, and KITTI.
-  For nuScenes dataset, we also support [nuImages dataset](https://github.com/open-mmlab/mmdetection3d/tree/1.1/configs/nuimages).
+  For nuScenes dataset, we also support [nuImages dataset](https://github.com/open-mmlab/mmdetection3d/tree/latest/configs/nuimages).
 
 - **Natural integration with 2D detection**
 
@@ -104,7 +108,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-**1.1.0rc3** was released in 7/1/2023.
+**1.1.0** was released in 6/4/2023.
 
 Please refer to [changelog.md](docs/en/notes/changelog.md) for details and release history.
 
@@ -299,7 +303,7 @@ If you find this project useful in your research, please consider cite:
 
 ## Contributing
 
-We appreciate all contributions to improve MMDetection3D. Please refer to [CONTRIBUTING.md](.github/CONTRIBUTING.md) for the contributing guideline.
+We appreciate all contributions to improve MMDetection3D. Please refer to [CONTRIBUTING.md](./docs/en/notes/contribution_guides.md) for the contributing guideline.
 
 ## Acknowledgement
 

README_zh-CN.md

@@ -18,7 +18,7 @@
   </div>
   <div>&nbsp;</div>
 
-[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmdetection3d.readthedocs.io/zh_CN/1.1/)
+[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmdetection3d.readthedocs.io/zh_CN/latest/)
 [![badge](https://github.com/open-mmlab/mmdetection3d/workflows/build/badge.svg)](https://github.com/open-mmlab/mmdetection3d/actions)
 [![codecov](https://codecov.io/gh/open-mmlab/mmdetection3d/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmdetection3d)
 [![license](https://img.shields.io/github/license/open-mmlab/mmdetection3d.svg)](https://github.com/open-mmlab/mmdetection3d/blob/master/LICENSE)
@@ -49,6 +49,10 @@
 
 **我们将 `1.1` 分支重命名为 `main` 并将默认分支从 `master` 切换到 `main`。我们鼓励用户迁移到最新版本，请参考 [迁移指南](docs/en/migration.md) 以了解更多细节。**
 
+**v1.1.0** 版本已经在 2023.4.6 发布。
+
+我们已经支持了更多基于 LiDAR 的 3D 分割算法。更多关于 3D 感知的新特性正在开发中，请拭目以待！
+
 **v1.1.0rc3** 版本已经在 2023.1.7 发布。
 
 由于坐标系的统一和简化，模型的兼容性会受到影响。目前，大多数模型都以类似的性能对齐了精度，但仍有少数模型在进行基准测试。在接下来的版本中，我们将更新所有的模型权重文件和基准。您可以在[变更日志](docs/zh_cn/notes/changelog.md)和 [v1.0.x 版本变更日志](docs/zh_cn/notes/changelog_v1.0.x.md)中查看更多详细信息。
@@ -74,7 +78,7 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱，下一代
 - **支持户内/户外的数据集**
 
   支持室内/室外的 3D 检测数据集，包括 ScanNet，SUNRGB-D，Waymo，nuScenes，Lyft，KITTI。
-  对于 nuScenes 数据集，我们也支持 [nuImages 数据集](https://github.com/open-mmlab/mmdetection3d/tree/1.1/configs/nuimages)。
+  对于 nuScenes 数据集，我们也支持 [nuImages 数据集](https://github.com/open-mmlab/mmdetection3d/tree/latest/configs/nuimages)。
 
 - **与 2D 检测器的自然整合**
 

configs/_base_/datasets/kitti-3d-3class.py

@@ -12,7 +12,7 @@ metainfo = dict(classes=class_names)
 
 # data_root = 's3://openmmlab/datasets/detection3d/kitti/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/kitti-3d-car.py

@@ -12,7 +12,7 @@ metainfo = dict(classes=class_names)
 
 # data_root = 's3://openmmlab/datasets/detection3d/kitti/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/kitti-mono3d.py

@@ -10,7 +10,7 @@ metainfo = dict(classes=class_names)
 
 # data_root = 's3://openmmlab/datasets/detection3d/kitti/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/lyft-3d-range100.py

@@ -24,7 +24,7 @@ input_modality = dict(
 
 # data_root = 's3://openmmlab/datasets/detection3d/lyft/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/lyft-3d.py

@@ -19,7 +19,7 @@ data_prefix = dict(pts='v1.01-train/lidar', img='', sweeps='v1.01-train/lidar')
 
 # data_root = 's3://openmmlab/datasets/detection3d/lyft/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/nuim-instance.py

@@ -11,7 +11,7 @@ class_names = [
 
 # data_root = 's3://openmmlab/datasets/detection3d/nuimages/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/nus-3d.py

@@ -23,7 +23,7 @@ data_prefix = dict(pts='samples/LIDAR_TOP', img='', sweeps='sweeps/LIDAR_TOP')
 
 # data_root = 's3://openmmlab/datasets/detection3d/nuscenes/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/nus-mono3d.py

@@ -15,7 +15,7 @@ input_modality = dict(use_lidar=False, use_camera=True)
 
 # data_root = 's3://openmmlab/datasets/detection3d/nuscenes/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/s3dis-3d.py

@@ -8,7 +8,7 @@ data_root = 'data/s3dis/'
 
 # data_root = 's3://openmmlab/datasets/detection3d/s3dis/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/s3dis-seg.py

@@ -16,7 +16,7 @@ data_prefix = dict(
 
 # data_root = 's3://openmmlab/datasets/detection3d/s3dis/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/scannet-3d.py

@@ -14,7 +14,7 @@ metainfo = dict(
 
 # data_root = 's3://openmmlab/datasets/detection3d/scannet/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/scannet-seg.py

@@ -18,7 +18,7 @@ data_prefix = dict(
 
 # data_root = 's3://openmmlab/datasets/detection3d/scannet/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/semantickitti.py

@@ -57,7 +57,7 @@ input_modality = dict(use_lidar=True, use_camera=False)
 
 # data_root = 's3://openmmlab/datasets/detection3d/semantickitti/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/sunrgbd-3d.py

@@ -11,7 +11,7 @@ metainfo = dict(classes=class_names)
 
 # data_root = 's3://openmmlab/datasets/detection3d/sunrgbd/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/waymoD5-3d-3class.py

@@ -11,7 +11,7 @@ data_root = 'data/waymo/kitti_format/'
 
 # data_root = 's3://openmmlab/datasets/detection3d/waymo/kitti_format/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/waymoD5-3d-car.py

@@ -10,7 +10,7 @@ data_root = 'data/waymo/kitti_format/'
 
 # data_root = 's3://openmmlab/datasets/detection3d/waymo/kitti_format/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/waymoD5-fov-mono3d-3class.py

@@ -12,7 +12,7 @@ input_modality = dict(use_lidar=False, use_camera=True)
 
 # data_root = 's3://openmmlab/datasets/detection3d/waymo/kitti_format/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({

configs/_base_/datasets/waymoD5-mv-mono3d-3class.py

@@ -12,7 +12,7 @@ input_modality = dict(use_lidar=False, use_camera=True)
 
 # data_root = 's3://openmmlab/datasets/detection3d/waymo/kitti_format/'
 
-# Method 2: Use backend_args, file_client_args in versions before 1.1.0rc4
+# Method 2: Use backend_args, file_client_args in versions before 1.1.0
 # backend_args = dict(
 #     backend='petrel',
 #     path_mapping=dict({