Unverified Commit 5363189c authored by Tai-Wang's avatar Tai-Wang Committed by GitHub
Browse files

Bump to v0.17.0 (#898)

* Update README.md

* Update README_zh-CN.md

* Update version.py

* Update getting_started.md

* Update getting_started.md

* Update changelog.md

* Remove "recent" in the news

* Remove "recent" in the news

* Fix comments
parent 659a5450
...@@ -8,9 +8,9 @@ ...@@ -8,9 +8,9 @@
[![license](https://img.shields.io/github/license/open-mmlab/mmdetection3d.svg)](https://github.com/open-mmlab/mmdetection3d/blob/master/LICENSE) [![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). 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).
...@@ -62,7 +62,7 @@ This project is released under the [Apache 2.0 license](LICENSE). ...@@ -62,7 +62,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
## Changelog ## 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. Please refer to [changelog.md](docs/changelog.md) for details and release history.
## Benchmark and model zoo ## Benchmark and model zoo
......
...@@ -8,11 +8,11 @@ ...@@ -8,11 +8,11 @@
[![license](https://img.shields.io/github/license/open-mmlab/mmdetection3d.svg)](https://github.com/open-mmlab/mmdetection3d/blob/master/LICENSE) [![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/ 文档: https://mmdetection3d.readthedocs.io/
...@@ -62,7 +62,7 @@ MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代 ...@@ -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 ## 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) 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 ## 基准测试和模型库
......
## Changelog ## 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) ### v0.16.0 (1/8/2021)
#### Compatibility #### Compatibility
......
...@@ -13,6 +13,7 @@ The required versions of MMCV, MMDetection and MMSegmentation for different vers ...@@ -13,6 +13,7 @@ The required versions of MMCV, MMDetection and MMSegmentation for different vers
| MMDetection3D version | MMDetection version | MMSegmentation version | MMCV version | | 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| | 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| | 0.16.0 | 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| | 0.15.0 | 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| | 0.14.0 | mmdet>=2.10.0, <=2.11.0| mmseg==0.14.0 | mmcv-full>=1.3.1, <=1.4|
......
...@@ -10,6 +10,7 @@ ...@@ -10,6 +10,7 @@
| MMDetection3D version | MMDetection version | MMSegmentation version | MMCV version | | 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| | 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| | 0.16.0 | 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| | 0.15.0 | 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| | 0.14.0 | mmdet>=2.10.0, <=2.11.0| mmseg>=0.14.0 | mmcv-full>=1.3.1, <=1.4|
......
# Copyright (c) Open-MMLab. All rights reserved. # Copyright (c) Open-MMLab. All rights reserved.
__version__ = '0.16.0' __version__ = '0.17.0'
short_version = __version__ short_version = __version__
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment