Bump to v0.17.2 (#1021)

* Update getting_started.md

* Update getting_started.md

* Update version.py

* Update README_zh-CN.md

* Update README.md

* Update changelog.md

* Fix a typo

README.md

@@ -8,13 +8,15 @@
 [![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 v0.17.1.
+**News**: We released the codebase v0.17.2.
 
-We are going through large refactoring to provide simpler and more unified usage of many modules. Thus, few features will be added to the master branch in the following months.
+In addition, we have preliminarily supported several new models on the [v1.0.0.dev0](https://github.com/open-mmlab/mmdetection3d/tree/v1.0.0.dev0) branch, including [DGCNN](https://github.com/open-mmlab/mmdetection3d/blob/v1.0.0.dev0/configs/dgcnn/README.md), [SMOKE](https://github.com/open-mmlab/mmdetection3d/blob/v1.0.0.dev0/configs/smoke/README.md) and [PGD](https://github.com/open-mmlab/mmdetection3d/blob/v1.0.0.dev0/configs/pgd/README.md).
+
+Note: We are going through large refactoring to provide simpler and more unified usage of many modules. Thus, few features will be added to the master branch in the following months.
 
 The compatibilities of models are broken due to the unification and simplification of coordinate systems. For now, most models are benchmarked with similar performance, though few models are still being benchmarked.
 
-You can start experiments with v1.0.0.dev0 if you are interested. Please note that our new features will only be supported in v1.0.0 branch afterward.
+You can start experiments with [v1.0.0.dev0](https://github.com/open-mmlab/mmdetection3d/tree/v1.0.0.dev0) if you are interested. Please note that our new features will only be supported in v1.0.0 branch afterward.
 
 In the [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.
 
@@ -68,7 +70,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.17.1 was released in 1/10/2021.
+v0.17.2 was released in 1/11/2021.
 Please refer to [changelog.md](docs/changelog.md) for details and release history.
 
 For branch v1.0.0.dev0, please refer to [changelog_v1.0.md](https://github.com/Tai-Wang/mmdetection3d/blob/v1.0.0.dev0-changelog/docs/changelog_v1.0.md) for our latest features and more details.

README_zh-CN.md

@@ -8,9 +8,11 @@
 [![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 v0.17.1.
+**新闻**: 我们发布了版本 v0.17.2.
 
-我们正在进行大规模的重构，以提供对许多模块更简单、更统一的使用。因此，在接下来的几个月里，很少有功能会添加到主分支中。
+另外，我们在 [v1.0.0.dev0](https://github.com/open-mmlab/mmdetection3d/tree/v1.0.0.dev0) 分支初步支持了多个新模型，包括 [DGCNN](https://github.com/open-mmlab/mmdetection3d/blob/v1.0.0.dev0/configs/dgcnn/README.md), [SMOKE](https://github.com/open-mmlab/mmdetection3d/blob/v1.0.0.dev0/configs/smoke/README.md) 和 [PGD](https://github.com/open-mmlab/mmdetection3d/blob/v1.0.0.dev0/configs/pgd/README.md)。
+
+说明：我们正在进行大规模的重构，以提供对许多模块更简单、更统一的使用。因此，在接下来的几个月里，很少有功能会添加到主分支中。
 
 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。
 
@@ -68,7 +70,7 @@ 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 v0.17.1 在 2021.10.01 发布。
+最新的版本 v0.17.2 在 2021.11.01 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)。
 
 对于分支 [v1.0.0.dev0](https://github.com/open-mmlab/mmdetection3d/tree/v1.0.0.dev0) ，请参考 [v1.0 更新日志](https://github.com/Tai-Wang/mmdetection3d/blob/v1.0.0.dev0-changelog/docs/changelog_v1.0.md) 来了解我们的最新功能和更多细节。

docs/changelog.md

 ## Changelog
 
+### v0.17.2 (1/11/2021)
+
+#### Improvements
+
+- Update Group-Free-3D and FCOS3D bibtex (#985)
+- Update the solutions for incompatibility of pycocotools in the FAQ (#993)
+- Add Chinese documentation for the KITTI (#1003) and Lyft (#1010) dataset tutorial
+- Add the H3DNet checkpoint converter for incompatible keys (#1007)
+
+#### Bug Fixes
+
+- Update mmdetection and mmsegmentation version in the Dockerfile (#992)
+- Fix links in the Chinese documentation (#1015)
+
+#### Contributors
+
+A total of 4 developers contributed to this release.
+
+@Tai-Wang, @wHao-Wu, @ZwwWayne, @ZCMax
+
 ### v0.17.1 (1/10/2021)
 
 #### Highlights

docs/getting_started.md

@@ -13,6 +13,7 @@ The required versions of MMCV, MMDetection and MMSegmentation for different vers
 | MMDetection3D version | MMDetection version | MMSegmentation version |    MMCV version     |
 |:-------------------:|:-------------------:|:-------------------:|:-------------------:|
 | master              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
+| 0.17.2              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
 | 0.17.1              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
 | 0.17.0              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
 | 0.16.0              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|

docs_zh-CN/getting_started.md

@@ -10,6 +10,7 @@
 | MMDetection3D version | MMDetection version | MMSegmentation version |    MMCV version     |
 |:-------------------:|:-------------------:|:-------------------:|:-------------------:|
 | master              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
+| 0.17.2              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
 | 0.17.1              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
 | 0.17.0              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
 | 0.16.0              | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|

mmdet3d/version.py

 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.17.1'
+__version__ = '0.17.2'
 short_version = __version__