add mmflow on README (#1052)
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@ -165,3 +165,4 @@ and develop their own new semantic segmentation methods.
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- [MMOCR](https://github.com/open-mmlab/mmocr): A Comprehensive Toolbox for Text Detection, Recognition and Understanding.
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- [MMOCR](https://github.com/open-mmlab/mmocr): A Comprehensive Toolbox for Text Detection, Recognition and Understanding.
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- [MMGeneration](https://github.com/open-mmlab/mmgeneration): A powerful toolkit for generative models.
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- [MMGeneration](https://github.com/open-mmlab/mmgeneration): A powerful toolkit for generative models.
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- [MIM](https://github.com/open-mmlab/mim): MIM Installs OpenMMLab Packages.
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- [MIM](https://github.com/open-mmlab/mim): MIM Installs OpenMMLab Packages.
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- [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab optical flow toolbox and benchmark.
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@ -160,6 +160,7 @@ MMSegmentation 是一个由来自不同高校和企业的研发人员共同参
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- [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab 图像视频编辑工具箱
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- [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab 图像视频编辑工具箱
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- [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab 全流程文字检测识别理解工具包
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- [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab 全流程文字检测识别理解工具包
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- [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab 生成模型工具箱
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- [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab 生成模型工具箱
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- [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab 光流估计工具箱与测试基准
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## 欢迎加入 OpenMMLab 社区
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## 欢迎加入 OpenMMLab 社区
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@ -147,6 +147,10 @@ html_theme_options = {
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'name': 'MMGeneration',
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'name': 'MMGeneration',
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'url': 'https://github.com/open-mmlab/mmgeneration',
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'url': 'https://github.com/open-mmlab/mmgeneration',
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},
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},
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{
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'name': 'MMFlow',
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'url': 'https://github.com/open-mmlab/mmflow',
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},
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]
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]
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},
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},
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{
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@ -147,6 +147,10 @@ html_theme_options = {
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'name': 'MMGeneration',
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'name': 'MMGeneration',
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'url': 'https://github.com/open-mmlab/mmgeneration',
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'url': 'https://github.com/open-mmlab/mmgeneration',
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},
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},
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{
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'name': 'MMFlow',
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'url': 'https://github.com/open-mmlab/mmflow',
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},
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]
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]
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},
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},
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{
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{
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