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try to use the local path read pic

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  1. README.md +3 -6
README.md CHANGED
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  <div align=center>
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- <img src=https://github.com/opendilab/.github/blob/main/opendilab_banner.png>
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  </div>
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- [![Twitter](https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Ftwitter.com%2Fopendilab)](https://twitter.com/opendilab)
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- ![GitHub Org's stars](https://img.shields.io/github/stars/opendilab?style=social)
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- ![GitHub Org's follows](https://img.shields.io/github/followers/opendilab?style=social)
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- [![GitHub license](https://img.shields.io/github/license/opendilab/DI-engine)](https://github.com/opendilab/DI-engine/blob/master/LICENSE)
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  OpenDILab is the **first decision intelligence platform** covering **the most comprehensive algorithms and applications both in academia and industry.** Since July 2021, OpenDILab has been officially open-sourced at the **World Artificial Intelligence Conference(WAIC)** opening ceremony.
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  As an important part of OpenXLab from Shanghai AI Laboratory, OpenDILab features a complete set of training and deployment frameworks for decision intelligence, consisting of the **application ecological layer, algorithm abstraction layer, distributed management layer, and distributed execution layer.** OpenDILab also supports full-scale scheduling system optimization from a single machine to the joint training of thousands of CPU/GPU.
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  <div align=center>
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- <img src=https://github.com/opendilab/.github/blob/main/profile/opendilab1.0_feature.png>
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  </div>
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  <br />
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+ <img src= ./opendilab_banner.png>
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  </div>
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+ [![Twitter](https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Ftwitter.com%2Fopendilab)](https://twitter.com/opendilab) ![GitHub Org's stars](https://img.shields.io/github/stars/opendilab?style=social) ![GitHub Org's follows](https://img.shields.io/github/followers/opendilab?style=social) [![GitHub license](https://img.shields.io/github/license/opendilab/DI-engine)](https://github.com/opendilab/DI-engine/blob/master/LICENSE)
 
 
 
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  OpenDILab is the **first decision intelligence platform** covering **the most comprehensive algorithms and applications both in academia and industry.** Since July 2021, OpenDILab has been officially open-sourced at the **World Artificial Intelligence Conference(WAIC)** opening ceremony.
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  As an important part of OpenXLab from Shanghai AI Laboratory, OpenDILab features a complete set of training and deployment frameworks for decision intelligence, consisting of the **application ecological layer, algorithm abstraction layer, distributed management layer, and distributed execution layer.** OpenDILab also supports full-scale scheduling system optimization from a single machine to the joint training of thousands of CPU/GPU.
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  <div align=center>
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+ <img src= ./opendilab1.0_feature.png>
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  </div>
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  <br />
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