[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
## Acknowledgement
We would like to thank OpenVINO team, for their remarkable efforts to export MMDetection models to OpenVINO and integrate OpenVINO into MMDeploy backends
We would like to sincerely thank the following teams for their contributions to [MMDeploy](https://github.com/open-mmlab/mmdeploy):
- [OpenPPL](https://github.com/openppl-public)
- [OpenVINO](https://github.com/openvinotoolkit/openvino)
## Citation
@ -109,3 +111,4 @@ If you find this project useful in your research, please consider cite:
- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab Human Pose and Shape Estimation Toolbox and Benchmark.
- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab self-supervised learning Toolbox and Benchmark.
- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab Model Compression Toolbox and Benchmark.
- [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
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。
## 致谢
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。
由衷感谢以下团队为 [MMDeploy](https://github.com/open-mmlab/mmdeploy) 做出的贡献:
- [OpenPPL](https://github.com/openppl-public)
- [OpenVINO](https://github.com/openvinotoolkit/openvino)
## 引用
@ -107,6 +108,7 @@ OpenVINO团队在MMDeploy中添加了OpenVINO部署后端并开发了MMDetect
- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 人体参数化模型工具箱与测试基准
- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab 自监督学习工具箱与测试基准
- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab 模型压缩工具箱与测试基准
- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab 模型部署框架
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