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OpenStereo is a flexible and extensible project for stereo matching.

What's New

• [May 2025]: The 2.0 version of OpenStereo is available, featuring an optimized training and testing framework.
• [January 2024]: Our proposed StereoBase rank 1st on the KITTI15 leaderboard!!!
• [December 2023]: Our paper makes public: OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
• [March 2023]:OpenStereo is available!!!

Highlighted features

• Multiple Dataset supported: OpenStereo supports 10 popular stereo datasets: SceneFlow, KITTI12 & KITTI15, ETH3D, Middlebury, DrivingStereo, Sintel, FallingThings, InStereo2K, and UnrealStereo4k.
• Multiple Models Support: We reproduced several SOTA methods, and reached the same or even better performance.
• DDP Support: The officially recommended Distributed Data Parallel (DDP) mode is used during both the training and testing phases.
• AMP Support: The Auto Mixed Precision (AMP) option is available.
• Nice log: We use tensorboard and logging to log everything, which looks pretty.

Getting Started

Please see 0.get_started.md. We also provide the following tutorials for your reference:

• Prepare dataset
• Detailed configuration
• Customize model
• Advanced usages

Model Zoo

Results and models are available in the model zoo.

Acknowledgement

AANet   ACVNet   CascadeStereo   CFNet   COEX   DenseMatching   FADNet++   GwcNet   MSNet   PSMNet   RAFT   STTR   OpenGait   IGEV

Citation

@article{OpenStereo,
        title={OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline},
        author={Guo, Xianda and Zhang, Chenming and Lu, Juntao  and Wang, Yiqi and Duan, Yiqun and Yang, Tian and Zhu, Zheng and Chen, Long},
        journal={arXiv preprint arXiv:2312.00343},
        year={2023}
}

Note: This code is only used for academic purposes, people cannot use this code for anything that might be considered commercial use.