OpenStereo is a flexible and extensible project for stereo matching.
- [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!!!
- Mutiple Dataset supported: OpenStereo supports six popular stereo datasets: SceneFlow, KITTI12 & KITTI15, ETH3D,Middlebury and DrivingStereo .
- Multiple Models Support: We reproduced several SOTA methods, and reached the same or even the 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
tensorboardandloggingto log everything, which looks pretty.
Please see 0.get_started.md. We also provide the following tutorials for your reference:
Results and models are available in the model zoo.
AANet ACVNet CascadeStereo CFNet COEX DenseMatching FADNet++ GwcNet MSNet PSMNet RAFT STTR OpenGait IGEV
@article{OpenStereo,
title={OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline},
author={Guo, Xianda and Lu, Juntao and Zhang, Chenming 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.