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add MMYOLO projects link #334

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Oct 24, 2022
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add MMYOLO projects link #334

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d1e6964
[Doc] fix typos in en/usr_guides (#299)
SheffieldCao Oct 8, 2022
2afdf37
Update README.md
kitecats Oct 21, 2022
17505a3
Update README_zh-CN.md
kitecats Oct 21, 2022
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -187,6 +187,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark.
- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab's next-generation platform for general 3D object detection.
- [MMRotate](https://github.com/open-mmlab/mmrotate): OpenMMLab rotated object detection toolbox and benchmark.
- [MMYOLO](https://github.com/open-mmlab/mmyolo): OpenMMLab YOLO series toolbox and benchmark.
- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab semantic segmentation toolbox and benchmark.
- [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab text detection, recognition, and understanding toolbox.
- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab pose estimation toolbox and benchmark.
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1 change: 1 addition & 0 deletions README_zh-CN.md
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Expand Up @@ -160,6 +160,7 @@ MMRazor 是一款由来自不同高校和企业的研发人员共同参与贡献
- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab 目标检测工具箱
- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab 新一代通用 3D 目标检测平台
- [MMRotate](https://github.com/open-mmlab/mmrotate): OpenMMLab 旋转框检测工具箱与测试基准
- [MMYOLO](https://github.com/open-mmlab/mmyolo): OpenMMLab YOLO 系列工具箱与测试基准
- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab 语义分割工具箱
- [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab 全流程文字检测识别理解工具箱
- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab 姿态估计工具箱
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2 changes: 1 addition & 1 deletion docs/en/user_guides/2_train_different_types_algorithms.md
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Expand Up @@ -86,7 +86,7 @@ For example, the default `_channel_cfg_paths` is set in the config below.

```Python
python ./tools/train.py \
configs/pruning/mmcls/autoslim/autoslim_mbv2_1.5x_subnet_8xb256_in1k_flops-530M \
configs/pruning/mmcls/autoslim/autoslim_mbv2_1.5x_subnet_8xb256_in1k_flops-530M.py \
--work-dir your_work_dir
```

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