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4 changes: 2 additions & 2 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 v0.15.0.
**News**: We released the codebase v0.16.0.

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.

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## Changelog

v0.15.0 was released in 1/7/2021.
v0.16.0 was released in 1/8/2021.
Please refer to [changelog.md](docs/changelog.md) for details and release history.

## Benchmark and model zoo
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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v0.15.0.
**新闻**: 我们发布了版本 v0.16.0.

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。

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## 更新日志

最新的版本 v0.15.0 在 2021.07.01发布。
最新的版本 v0.16.0 在 2021.08.01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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## Changelog

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

#### Compatibility

- Remove the rotation and dimension hack in the monocular 3D detection on nuScenes by applying corresponding transformation in the pre-processing and post-processing. The modification only influences nuScenes coco-style json files. Please re-run the data preparation scripts if necessary. See more details in the PR #744.
- Add a new pre-processing module for the ScanNet dataset in order to support multi-view detectors. Please run the updated scripts to extract the RGB data and its annotations. See more details in the PR #696.

#### Highlights

- Support to use [MIM](https://github.com/open-mmlab/mim) with pip installation
- Support PAConv [models and benchmarks](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/paconv) on S3DIS
- Enhance the documentation especially on dataset tutorials

#### New Features

- Support RGB images on ScanNet for multi-view detectors (#696)
- Support FLOPs and number of parameters calculation (#736)
- Support to use [MIM](https://github.com/open-mmlab/mim) with pip installation (#782)
- Support PAConv models and benchmarks on the S3DIS dataset (#783, #809)

#### Improvements

- Refactor Group-Free-3D to make it inherit BaseModule from MMCV (#704)
- Modify the initialization methods of FCOS3D to be consistent with the refactored approach (#705)
- Benchmark the Group-Free-3D [models](https://github.com/open-mmlab/mmdetection3d/tree/master/configs/groupfree3d) on ScanNet (#710)
- Add Chinese Documentation for Getting Started (#725), FAQ (#730), Model Zoo (#735), Demo (#745), Quick Run (#746), Data Preparation (#787) and Configs (#788)
- Add documentation for semantic segmentation on ScanNet and S3DIS (#743, #747, #806, #807)
- Add a parameter `max_keep_ckpts` to limit the maximum number of saved Group-Free-3D checkpoints (#765)
- Add documentation for 3D detection on SUN RGB-D and nuScenes (#770, #793)
- Remove mmpycocotools in the Dockerfile (#785)

#### Bug Fixes

- Fix versions of OpenMMLab dependencies (#708)
- Convert `rt_mat` to `torch.Tensor` in coordinate transformation for compatibility (#709)
- Fix the `bev_range` initialization in `ObjectRangeFilter` according to the `gt_bboxes_3d` type (#717)
- Fix Chinese documentation and incorrect doc format due to the incompatible Sphinx version (#718)
- Fix a potential bug when setting `interval == 1` in [analyze_logs.py](https://github.com/open-mmlab/mmdetection3d/blob/master/tools/analysis_tools/analyze_logs.py) (#720)
- Update the structure of Chinese Documentation (#722)
- Fix FCOS3D FPN BC-Breaking caused by the code refactoring in MMDetection (#739)
- Fix wrong `in_channels` when `with_distance=True` in the [Dynamic VFE Layers](https://github.com/open-mmlab/mmdetection3d/blob/master/mmdet3d/models/voxel_encoders/voxel_encoder.py#L87) (#749)
- Fix the dimension and yaw hack of FCOS3D on nuScenes (#744, #794, #795, #818)
- Fix the missing default `bbox_mode` in the `show_multi_modality_result` (#825)

#### Contributors

A total of 12 developers contributed to this release.

@yinchimaoliang, @gopi231091, @filaPro, @ZwwWayne, @ZCMax, @hjin2902, @wHao-Wu, @Wuziyi616, @xiliu8006, @THU17cyz, @DCNSW, @Tai-Wang


### v0.15.0 (1/7/2021)

#### Compatibility
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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|
| 0.16.0 | 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|
| 0.13.0 | mmdet>=2.10.0, <=2.11.0| Not required | mmcv-full>=1.2.4, <=1.4|
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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|
| 0.16.0 | 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|
| 0.13.0 | mmdet>=2.10.0, <=2.11.0| Not required | mmcv-full>=1.2.4, <=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__ = '0.15.0'
__version__ = '0.16.0'
short_version = __version__


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