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Bump to v0.17.0 #898

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6 changes: 3 additions & 3 deletions README.md
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[![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 v0.16.0.
**News**: We released the codebase v0.17.0.

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.
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.

Code and models for the best vision-only method, [FCOS3D](https://arxiv.org/abs/2104.10956), have been released. Please stay tuned for [MoCa](https://arxiv.org/abs/2012.12741).

Expand Down Expand Up @@ -62,7 +62,7 @@ This project is released under the [Apache 2.0 license](LICENSE).

## Changelog

v0.16.0 was released in 1/8/2021.
v0.17.0 was released in 1/9/2021.
Please refer to [changelog.md](docs/changelog.md) for details and release history.

## Benchmark and model zoo
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8 changes: 4 additions & 4 deletions README_zh-CN.md
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[![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 v0.16.0.
**新闻**: 我们发布了版本 v0.17.0.

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。
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。

最好的纯视觉方法[FCOS3D](https://arxiv.org/abs/2104.10956)的代码和模型已经发布。请继续关注我们的多模态检测器[MoCa](https://arxiv.org/abs/2012.12741)。
最好的纯视觉方法 [FCOS3D](https://arxiv.org/abs/2104.10956) 的代码和模型已经发布。请继续关注我们的多模态检测器 [MoCa](https://arxiv.org/abs/2012.12741)。

文档: https://mmdetection3d.readthedocs.io/

Expand Down Expand Up @@ -62,7 +62,7 @@ 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 v0.16.0 在 2021.08.01发布。
最新的版本 v0.17.0 在 2021.09.01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
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47 changes: 47 additions & 0 deletions docs/changelog.md
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## Changelog


### v0.17.0 (1/9/2021)

#### Compatibility

- Unify the camera keys for consistent transformation between coodinate systems on different datasets. The modification change the key names to `lidar2img`, `depth2img`, `cam2img`, etc. for easier understanding. Customized codes using legacy keys may be influenced.
- The next release will begin to move files of CUDA ops to [MMCV](https://github.com/open-mmlab/mmcv). It will influence the way to import related functions. We will not break the compatibility but will raise a warning first and please prepare to migrate it.

#### Highlights

- Support 3D object detection on the S3DIS dataset
- Support compilation on Windows
- Full benchmark for PAConv on S3DIS
- Further enhancement for documentation, especially on the Chinese documentation

#### New Features

- Support 3D object detection on the S3DIS dataset (#835)

#### Improvements

- Support point sampling based on distance metric (#667, #840)
- Update PointFusion to support unified camera keys (#791)
- Add Chinese documentation for customized dataset (#792), data pipeline (#827), customized runtime (#829), 3D Detection on ScanNet (#836), nuScenes (#854) and Waymo (#859)
- Unify camera keys used in transformation between different systems (#805)
- Add a script to support benchmark regression (#808)
- Benchmark PAConvCUDA on S3DIS (#847)
- Add a tutorial for 3D detection on the Lyft dataset (#849)
- Support to download pdf and epub documentation (#850)
- Change the `repeat` setting in Group-Free-3D configs to reduce training epochs (#855)

#### Bug Fixes

- Fix compiling errors on Windows (#766)
- Fix the deprecated nms setting in the ImVoteNet config (#828)
- Use the latest `wrap_fp16_model` import from mmcv (#861)
- Remove 2D annotations generation on Lyft (#867)
- Update index files for the Chinese documentation to be consistent with the English version (#873)
- Fix the nested list transpose in the CenterPoint head (#879)
- Fix deprecated pretrained model loading for RegNet (#889)

#### Contributors

A total of 11 developers contributed to this release.

@THU17cyz, @wHao-Wu, @wangruohui, @Wuziyi616, @filaPro, @ZwwWayne, @Tai-Wang, @DCNSW, @xieenze, @robin-karlsson0, @ZCMax

### v0.16.0 (1/8/2021)

#### Compatibility
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1 change: 1 addition & 0 deletions docs/getting_started.md
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| 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|
| 0.17.0 | 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|
| 0.15.0 | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
| 0.14.0 | mmdet>=2.10.0, <=2.11.0| mmseg==0.14.0 | mmcv-full>=1.3.1, <=1.4|
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1 change: 1 addition & 0 deletions docs_zh-CN/getting_started.md
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| 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|
| 0.17.0 | 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|
| 0.15.0 | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
| 0.14.0 | mmdet>=2.10.0, <=2.11.0| mmseg>=0.14.0 | mmcv-full>=1.3.1, <=1.4|
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2 changes: 1 addition & 1 deletion mmdet3d/version.py
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# Copyright (c) Open-MMLab. All rights reserved.

__version__ = '0.16.0'
__version__ = '0.17.0'
short_version = __version__


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