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Bump to v1.3.0 (open-mmlab#2778)
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README.md

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@@ -108,9 +108,14 @@ Like [MMDetection](https://github.com/open-mmlab/mmdetection) and [MMCV](https:/
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We have constructed a comprehensive LiDAR semantic segmentation benchmark on SemanticKITTI, including Cylinder3D, MinkUNet and SPVCNN methods. Noteworthy, the improved MinkUNetv2 can achieve 70.3 mIoU on the validation set of SemanticKITTI. We have also supported the training of BEVFusion and an occupancy prediction method, TPVFomrer, in our `projects`. More new features about 3D perception are on the way. Please stay tuned!
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**v1.3.0** was released in 18/10/2023:
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- Support [CENet](https://arxiv.org/abs/2207.12691) in `projects`
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- Enhance demos with new 3D inferencers
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**v1.2.0** was released in 4/7/2023
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- Support [New Config Type](https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta) in `mmdet3d/config`
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- Support [New Config Type](https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta) in `mmdet3d/configs`
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- Support the inference of [DSVT](<(https://arxiv.org/abs/2301.06051)>) in `projects`
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- Support downloading datasets from [OpenDataLab](https://opendatalab.com/) using `mim`
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README_zh-CN.md

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我们在 SemanticKITTI 上构建了一个全面的点云语义分割基准,包括 Cylinder3D 、MinkUNet 和 SPVCNN 方法。其中,改进后的 MinkUNetv2 在验证集上可以达到 70.3 mIoU。我们还在 `projects` 中支持了 BEVFusion 的训练和全新的 3D 占有网格预测网络 TPVFormer。更多关于 3D 感知的新功能正在进行中。请继续关注!
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**v1.3.0** 版本已经在 2023.10.18 发布:
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-`projects` 中支持 [CENet](https://arxiv.org/abs/2207.12691)
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- 使用新的 3D inferencers 增强演示代码效果
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**v1.2.0** 版本已经在 2023.7.4 发布:
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-`mmdet3d/config`中支持 [新Config样式](https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta)
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-`mmdet3d/configs`中支持 [新Config样式](https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta)
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-`projects` 中支持 [DSVT](<(https://arxiv.org/abs/2301.06051)>) 的推理
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- 支持通过 `mim`[OpenDataLab](https://opendatalab.com/) 下载数据集
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docker/serve/Dockerfile

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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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ARG MMCV="2.0.0rc4"
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ARG MMDET="3.0.0"
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ARG MMDET3D="1.1.0"
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ARG MMDET="3.1.0"
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ARG MMDET3D="1.3.0"
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ENV PYTHONUNBUFFERED TRUE
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docs/en/notes/changelog.md

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# Changelog of v1.1
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### v1.3.0 (18/10/2023)
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#### Highlights
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- Support [CENet](https://arxiv.org/abs/2207.12691) in `projects` (#2619)
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- Enhance demos with new 3D inferencers (#2763)
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#### New Features
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- Support [CENet](https://arxiv.org/abs/2207.12691) in `projects` (#2619)
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#### Improvements
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- Enhance demos with new 3D inferencers (#2763)
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- Add BEV-based detection pipeline in nuScenes dataset tutorial (#2672)
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- Add the new config type of Cylinder3D in `mmdet3d/configs` (#2681)
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- Update [New Config Type](https://mmengine.readthedocs.io/en/latest/advanced_tutorials/config.html#a-pure-python-style-configuration-file-beta) (#2655)
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- Update the QR code in README.md (#2703)
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#### Bug Fixes
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- Fix the download script of nuScenes dataset (#2660)
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- Fix circleCI and GitHub workflow configuration (#2652)
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- Fix the version of Open3D in requirements (#2633)
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- Fix unused files in `mmdet3d/configs` (#2773)
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- Fix support devices in FreeAnchor3DHead (#2769)
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- Fix readthedocs building and link (#2739, #2650)
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- Fix the pitch angle bug in LaserMix (#2710)
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#### Contributors
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A total of 6 developers contributed to this release.
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@sunjiahao1999, @Xiangxu-0103, @ZhaoCake, @LRJKD, @crazysteeaam, @wep21, @zhiqwang
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### v1.2.0 (4/7/2023)
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#### Highlights

docs/en/notes/faq.md

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- The required versions of MMEngine, MMCV and MMDetection for different versions of MMDetection3D are as below. Please install the correct version of MMEngine, MMCV and MMDetection to avoid installation issues.
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| MMDetection3D version | MMEngine version | MMCV version | MMDetection version |
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| --------------------- | :----------------------: | :---------------------: | :-------------------: |
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| dev-1.x | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.2.0 |
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| main | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.2.0 |
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| v1.2.0 | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.2.0 |
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| v1.1.1 | mmengine>=0.7.1, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.1.0 |
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| MMDetection3D version | MMEngine version | MMCV version | MMDetection version |
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| --------------------- | :----------------------: | :---------------------: | :----------------------: |
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| dev-1.x | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.2.0 | mmdet>=3.0.0rc5, \<3.3.0 |
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| main | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.2.0 | mmdet>=3.0.0rc5, \<3.3.0 |
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| v1.3.0 | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.2.0 | mmdet>=3.0.0rc5, \<3.3.0 |
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| v1.2.0 | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.2.0 |
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| v1.1.1 | mmengine>=0.7.1, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.1.0 |
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**Note:** If you want to install mmdet3d-v1.0.0rcx, the compatible MMDetection, MMSegmentation and MMCV versions table can be found at [here](https://mmdetection3d.readthedocs.io/en/latest/faq.html#mmcv-mmdet-mmdet3d-installation). Please choose the correct version of MMCV, MMDetection and MMSegmentation to avoid installation issues.
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docs/zh_cn/notes/faq.md

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| MMDetection3D 版本 | MMEngine 版本 | MMCV 版本 | MMDetection 版本 |
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| ------------------ | :----------------------: | :---------------------: | :----------------------: |
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| dev-1.x | mmengine>=0.7.1, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.1.0 |
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| main | mmengine>=0.7.1, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.1.0 |
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| v1.1.0rc3 | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc3, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
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| v1.1.0rc2 | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc3, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
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| v1.1.0rc1 | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc0, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
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| v1.1.0rc0 | mmengine>=0.1.0, \<1.0.0 | mmcv>=2.0.0rc0, \<2.1.0 | mmdet>=3.0.0rc0, \<3.1.0 |
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| dev-1.x | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.2.0 | mmdet>=3.0.0rc5, \<3.3.0 |
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| main | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.2.0 | mmdet>=3.0.0rc5, \<3.3.0 |
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| v1.3.0 | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.2.0 | mmdet>=3.0.0rc5, \<3.3.0 |
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| v1.2.0 | mmengine>=0.8.0, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.2.0 |
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| v1.1.1 | mmengine>=0.7.1, \<1.0.0 | mmcv>=2.0.0rc4, \<2.1.0 | mmdet>=3.0.0, \<3.1.0 |
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**注意**:如果你想安装 mmdet3d-v1.0.0rcx,可以在[此处](https://mmdetection3d.readthedocs.io/en/latest/faq.html#mmcv-mmdet-mmdet3d-installation)找到 MMDetection,MMSegmentation 和 MMCV 的兼容版本。请选择正确版本的 MMCV、MMDetection 和 MMSegmentation 以避免安装问题。
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requirements/mminstall.txt

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mmcv>=2.0.0rc4,<2.1.0
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mmdet>=3.0.0,<3.2.0
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mmcv>=2.0.0rc4,<2.2.0
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mmdet>=3.0.0,<3.3.0
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mmengine>=0.7.1,<1.0.0

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