Bump to v0.12.0 (#397)

* Update README.md

* Update README_zh-CN.md

* Update getting_started.md

* Update changelog.md

* Change pdf to abs link and revise the highlights

README.md

@@ -8,7 +8,7 @@
 [![license](https://img.shields.io/github/license/open-mmlab/mmdetection3d.svg)](https://github.com/open-mmlab/mmdetection3d/blob/master/LICENSE)
 
 
-**News**: We released the codebase v0.11.0.
+**News**: We released the codebase v0.12.0.
 
 In the recent [nuScenes 3D detection challenge](https://www.nuscenes.org/object-detection?externalData=all&mapData=all&modalities=Any) of the 5th AI Driving Olympics in NeurIPS 2020, we obtained the best PKL award and the second runner-up by multi-modality entry, and the best vision-only results. Code and models will be released soon!
 
@@ -60,7 +60,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.11.0 was released in 1/3/2021.
+v0.12.0 was released in 1/4/2021.
 Please refer to [changelog.md](docs/changelog.md) for details and release history.
 
 ## Benchmark and model zoo

README_zh-CN.md

@@ -8,7 +8,7 @@
 [![license](https://img.shields.io/github/license/open-mmlab/mmdetection3d.svg)](https://github.com/open-mmlab/mmdetection3d/blob/master/LICENSE)
 
 
-**新闻**: 我们发布了版本v0.11.0.
+**新闻**: 我们发布了版本v0.12.0.
 
 在第三届[ nuScenes 3D 检测挑战赛](https://www.nuscenes.org/object-detection?externalData=all&mapData=all&modalities=Any)（第五届 AI Driving Olympics, NeurIPS 2020）中，我们获得了最佳 PKL 奖、第三名和最好的纯视觉的结果，相关的代码和模型将会在不久后发布。
 
@@ -60,7 +60,7 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代
 
 ## 更新日志
 
-最新的版本 v0.11.0 在 2021.03.01发布。
+最新的版本 v0.12.0 在 2021.04.01发布。
 如果想了解更多版本更新细节和历史信息，请阅读[更新日志](docs/changelog.md)。
 
 ## 基准测试和模型库

docs/changelog.md

 ## Changelog
 
+### v0.12.0 (1/4/2021)
+
+#### Highlights
+
+- Support a new multi-modality method [ImVoteNet](https://arxiv.org/abs/2001.10692).
+- Support pytorch 1.7 and 1.8
+- Refactor the structure of tools and [train.py](https://github.com/open-mmlab/mmdetection3d/blob/master/tools/train.py)/[test.py](https://github.com/open-mmlab/mmdetection3d/blob/master/tools/test.py)
+
+#### Bug Fixes
+
+- Fix missing keys `coord_type` in database sampler config (#345)
+- Rename H3DNet configs (#349)
+- Fix CI by using ubuntu 18.04 in github workflow (#350)
+- Add assertions to avoid 4-dim points being input to [points_in_boxes](https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/ops/roiaware_pool3d/points_in_boxes.py) (#357)
+- Fix the SECOND results on Waymo in the corresponding [README](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/second) (#363)
+- Fix the incorrect adopted pipeline when adding val to workflow (#370)
+- Fix a potential bug when indices used in the backwarding in ThreeNN (#377)
+- Fix a compilation error triggered by [scatter_points_cuda.cu](https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/ops/voxel/src/scatter_points_cuda.cu) in pytorch 1.7 (#393)
+
+#### New Features
+
+- Support LiDAR-based semantic segmentation metrics (#332)
+- Support [ImVoteNet](https://arxiv.org/abs/2001.10692) (#352, #384)
+- Support the KNN GPU operation (#360, #371)
+
+#### Improvements
+
+- Add FAQ for common problems in the documentation (#333)
+- Refactor the structure of tools (#339)
+- Refactor [train.py](https://github.com/open-mmlab/mmdetection3d/blob/master/tools/train.py) and [test.py](https://github.com/open-mmlab/mmdetection3d/blob/master/tools/test.py) (#343)
+- Support demo on nuScenes (#353)
+- Add 3DSSD checkpoints (#359)
+- Update the Bibtex of CenterPoint (#368)
+- Add citation format and reference to other OpenMMLab projects in the README (#374)
+- Upgrade the mmcv version requirements (#376)
+- Add numba and numpy version requirements in FAQ (#379)
+- Avoid unnecessary for-loop execution of vfe layer creation (#389)
+- Update SUNRGBD dataset documentation to stress the requirements for training ImVoteNet (#391)
+- Modify vote head to support 3DSSD (#396)
+
 ### v0.11.0 (1/3/2021)
 
 #### Highlights

docs/getting_started.md

@@ -13,6 +13,7 @@ The required versions of MMCV and MMDetection for different versions of MMDetect
 | MMDetection3D version | MMDetection version |    MMCV version     |
 |:-------------------:|:-------------------:|:-------------------:|
 | master              | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.4|
+| 0.12.0              | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.4|
 | 0.11.0              | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.4|
 | 0.10.0              | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.4|
 | 0.9.0               | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.4|