A highly flexible, scalable object detection library with detectors based on YOLO and Retinanet like architecture and distibuting strategies in TensorFlow.
- Add Backbone.
- Add Datamodule.
- Add Configuration.
- Add Tests.
- Add AnchorEncoder and Decoder.
- Add FPN and Model Builder.
- Add Training Script.
- Add Evaluators.
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.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request