Unverified Commit f1107977 authored by Tai-Wang's avatar Tai-Wang Committed by GitHub
Browse files

Bump to v0.17.1 (#978)

* Update version.py

* Update getting_started.md

* Update getting_started.md

* Update README.md

* Update README_zh-CN.md

* Update README_zh-CN.md

* Update README.md

* Update changelog.md

* Refine v1.0.0.dev0 notes

* Refine v1.0.0.dev0 notes

* Refine v1.0.0 notes (chinese readme)

* Refine some expressions
parent e5a87f35
......@@ -8,7 +8,13 @@
[![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 v0.17.0.
**News**: We released the codebase v0.17.1.
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.
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.
......@@ -62,9 +68,11 @@ This project is released under the [Apache 2.0 license](LICENSE).
## Changelog
v0.17.0 was released in 1/9/2021.
v0.17.1 was released in 1/10/2021.
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.
## Benchmark and model zoo
Supported methods and backbones are shown in the below table.
......
......@@ -8,7 +8,13 @@
[![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 v0.17.0.
**新闻**: 我们发布了版本 v0.17.1.
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。
如果您感兴趣,可以开始使用 [v1.0.0.dev0](https://github.com/open-mmlab/mmdetection3d/tree/v1.0.0.dev0) 分支进行实验。请注意,我们的新功能将只支持在 v1.0.0 分支。
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。
......@@ -62,9 +68,11 @@ 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 v0.17.0 在 2021.09.01发布。
最新的版本 v0.17.1 在 2021.10.01 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。
## 基准测试和模型库
测试结果和模型可以在[模型库](docs/model_zoo.md)中找到。
......
## Changelog
### v0.17.1 (1/10/2021)
#### Highlights
- Support a faster but non-deterministic version of hard voxelization
- Completion of dataset tutorials and the Chinese documentation
- Improved the aesthetics of the documentation format
#### Improvements
- Add Chinese Documentation for training on customized datasets and designing customized models (#729, #820)
- Support a faster but non-deterministic version of hard voxelization (#904)
- Update paper titles and code details for metafiles (#917)
- Add a tutorial for KITTI dataset (#953)
- Use Pytorch sphinx theme to improve the format of documentation (#958)
- Use the docker to accelerate CI (#971)
#### Bug Fixes
- Fix the sphinx version used in the documentation (#902)
- Fix a dynamic scatter bug that discards the first voxel by mistake when all input points are valid (#915)
- Fix the inconsistent variable names used in the [unit test](https://github.com/open-mmlab/mmdetection3d/blob/master/tests/test_models/test_voxel_encoder/test_voxel_generator.py) for voxel generater (#919)
- Upgrade to use `build_prior_generator` to replace the legacy `build_anchor_generator` (#941)
- Fix a minor bug caused by a too small difference set in the FreeAnchor Head (#944)
#### Contributors
A total of 8 developers contributed to this release.
@DCNSW, @zhanggefan, @mickeyouyou, @ZCMax, @wHao-Wu, @tojimahammatov, @xiliu8006, @Tai-Wang
### v0.17.0 (1/9/2021)
......
......@@ -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|
| 0.17.1 | 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|
| 0.15.0 | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
......
......@@ -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|
| 0.17.1 | 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|
| 0.15.0 | mmdet>=2.14.0, <=3.0.0| mmseg>=0.14.1, <=1.0.0 | mmcv-full>=1.3.8, <=1.4|
......
# Copyright (c) Open-MMLab. All rights reserved.
__version__ = '0.17.0'
__version__ = '0.17.1'
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