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XCloud

XCloud (EXtensive Cloud)

Introduction

XCloud is an open-source AI platform which provides common AI services (computer vision, NLP, data mining and etc.) with RESTful APIs. The platform is developed and maintained by @LucasX based on Django and PyTorch.

Features

  • Computer Vision
    • Face Analysis
      • Face Comparison
      • Facial Beauty Prediction (ShuffleNet V2 as backbone)
      • Gender Recognition
      • Race Recognition
      • Age Estimation
      • Facial Expression Recognition
      • Face Retrieval
    • Image Recognition
      • Scene Recognition
      • Food Recognition
      • Flower Recognition
      • Plant Disease Recognition
      • Pornography Image Recognition
      • Skin Disease Recognition
  • NLP
    • Text Similarity Comparison
    • Sentiment Classification for douban.com
    • News Classification
  • Data Mining
    • Zhihu Live Quality Evaluation
  • Data Services
    • Zhihu Live & Comments
    • Major Hospital Information
    • Primary and Secondary School on Baidu Baike
    • Weather History
  • Research
    • Age Estimation
    • Medical Image Analysis (Skin Lesion Analysis)

Deployment

  1. create a virtual enviroment named pyWeb follow this tutorial
  2. install Django and PyTorch
  3. install all dependent libraries: pip3 install -r requirements.txt
  4. activate Python Web environment: source ~/pyWeb/bin/activate pyWeb
  5. start django server: python3 manage.py runserver 0.0.0.0:8001
  6. open your browser and visit welcome page: http://www.lucasx.top:8001/index

index

Contributor

Note

  • XCloud is free for researchers. For commercial use, please email me AT xulu0620@gmail.com for more details.

  • Please ensure that your machine has a strong GPU equipment.

  • More features will be added in the next future! For XCloud in Java, please refer to CVLH for more details!

  • Technical details can be read from our Technical Report.

If you use our codebase or models in your research, please cite this project. We will release a paper or technical report later.

@misc{xu2019xcloud,
  author =       {Lu Xu and Yating Wang and Xueying Zhang and Tao Hu and Yudi He and Cheng Yang and Ying Liu and Jinhai Xiang},
  title =        {XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service},
  howpublished = {\url{https://github.com/lucasxlu/XCloud.git}},
  year =         {2019}
}

License

MIT

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