This is a complete depth prediction project with front-end QT pages and back-end algorithms to test monocular depth prediction, SGM-based and deep learning-based binocular stereo matching algorithms.
**Work Flow
**Install the packages with Python 3.8 by:
pip install -r requirements.txtYou need to download the pre-trained weights for dpt and put them in dpt\weights folder to start the monocular depth prediction algorithm.
You need to have access to a binocular camera in your local computer to use the stereo matching algorithm.
**Hardware and Functions:
You can use the functions in the left part to choose local files and predition the depth maps with grey-scale or color-scale.
You can use the functions in the right part to enable real-time depth prediction with monocular or stereo cameras, our experiments are evaluated NVIDIA RTX 2060.
This project is part of our follow-up research, if you find it helpful, please consider giving us a STAR⭐ and citing it.
@article{li2023bridging,
title={Bridging stereo geometry and BEV representation with reliable mutual interaction for semantic scene completion},
author={Li, Bohan and Sun, Yasheng and Liang, Zhujin and Du, Dalong and Zhang, Zhuanghui and Wang, Xiaofeng and Wang, Yunnan and Jin, Xin and Zeng, Wenjun},
journal={arXiv preprint arXiv:2303.13959},
year={2023}
}All content in this repository are under the Apache-2.0 license.