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UnLanedet

An advanced lane detection toolbox. UnLanedet contains many advanced lane detection methods to facilitate scientific research and lane detection applications. If you are in china, gitee link may be helpful for you.


What's New

  • [2025-03-12] We release the v2 version. In this version, we add the VIL100 dataset and the ADNet-VIL100 model and provide the fps testing tool. In the future, we will add O2SFormer, keypoint-based methods, and parameter-based methods. Stay tuned.
  • [2025-03-04] We release the Timm library wrapper! Users can directly transfer the advanced backbone to UnLanedet. In the following weeks, we will release the v2 version.
  • [2024-11-10] We release ADNet and LaneATT. Try it!
  • [2024-11-07] We release CondLaneNet and CLRerNet and fix bugs in UnLanedet. Try it!
  • [2024-11-05] We release the v1 version, focusing on 2D lane detection methods.

Installation

See installation instructions.

Getting Started

See Get Started documentation, including the data preparation, the training code, the evaluation code, the resume code, the inference code, and the advanced usage.

Model Zoo and Baselines

We provide a set of lane detection methods, including segmentation-based and anchor-based. All models and the corresponding weights and the training logs can be found in the Model Zoo.

License

UnLanedet is released under the Apache 2.0 license.

Acknowledgement

UnLanedet is built upon detectron2, lanedet and PPLanedet. Many thanks to their great work!

Citing UnLanedet

If you use UnLanedet in your research, please use the following BibTeX entry.

@misc{zhouunlanedet,
  author =       {Kunyang Zhou},
  title =        {UnLanedet},
  howpublished = {\url{https://github.com/zkyntu/UnLanedet}},
  year =         {2024}
}

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A lane detection toolbox, including CLRNet, ADNet, and UFLD.

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  • Python 97.3%
  • Cuda 1.9%
  • Other 0.8%