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Copy file name to clipboardexpand all lines: README.md
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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`
Copy file name to clipboardexpand all lines: 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 |
**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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