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[Docs] update acknowledgement and MMDeploy's short introduction (#15)
* add mmdeploy short introduction * add acknowledgement to OpenPPL team * update acknowledgement
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@ -75,7 +75,9 @@ We appreciate all contributions to improve MMDeploy. Please refer to [CONTRIBUTI
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## Acknowledgement
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We would like to thank OpenVINO team, for their remarkable efforts to export MMDetection models to OpenVINO and integrate OpenVINO into MMDeploy backends
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We would like to sincerely thank the following teams for their contributions to [MMDeploy](https://github.com/open-mmlab/mmdeploy):
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- [OpenPPL](https://github.com/openppl-public)
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- [OpenVINO](https://github.com/openvinotoolkit/openvino)
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## Citation
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@ -109,3 +111,4 @@ If you find this project useful in your research, please consider cite:
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- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab Human Pose and Shape Estimation Toolbox and Benchmark.
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- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab self-supervised learning Toolbox and Benchmark.
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- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab Model Compression Toolbox and Benchmark.
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- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab Model Deployment Framework.
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@ -72,8 +72,9 @@ MMDeploy 是一个开源深度学习模型部署工具箱,它是 [OpenMMLab](h
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我们感谢所有的贡献者为改进和提升 MMDeploy 所作出的努力。请参考[贡献指南](.github/CONTRIBUTING.md)来了解参与项目贡献的相关指引。
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## 致谢
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OpenVINO团队在MMDeploy中添加了OpenVINO部署后端,并开发了MMDetection在OpenVINO下的部署功能,为MMDeploy做出了重大贡献。对此我们表示衷心的感谢。
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由衷感谢以下团队为 [MMDeploy](https://github.com/open-mmlab/mmdeploy) 做出的贡献:
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- [OpenPPL](https://github.com/openppl-public)
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- [OpenVINO](https://github.com/openvinotoolkit/openvino)
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## 引用
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@ -107,6 +108,7 @@ OpenVINO团队在MMDeploy中添加了OpenVINO部署后端,并开发了MMDetect
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- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 人体参数化模型工具箱与测试基准
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- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab 自监督学习工具箱与测试基准
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- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab 模型压缩工具箱与测试基准
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- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab 模型部署框架
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## 欢迎加入 OpenMMLab 社区
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