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A highly flexible, scalable object detection library based on YOLO and SSD like architecture in TensorFlow.

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kartik4949/detectia

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Detectia

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A highly flexible, scalable object detection library with detectors based on YOLO and Retinanet like architecture and distibuting strategies in TensorFlow.

TODOs

  • Add Backbone.
  • Add Datamodule.
  • Add Configuration.
  • Add Tests.
  • Add AnchorEncoder and Decoder.
  • Add FPN and Model Builder.
  • Add Training Script.
  • Add Evaluators.

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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A highly flexible, scalable object detection library based on YOLO and SSD like architecture in TensorFlow.

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