lsim_model.py is based on Monodepth, with modifications to allows siamese and mirroring:
@inproceedings{monodepth17,
title = {Unsupervised Monocular Depth Estimation with Left-Right Consistency},
author = {Cl{\'{e}}ment Godard and
Oisin {Mac Aodha} and
Gabriel J. Brostow},
booktitle = {CVPR},
year = {2017}
}
- Tensorflow 1.13
- Pandas
- Numpy
You will also need our version of monodepth (minor changes to support Python 3), make sure to clone using
git clone --recursive https://github.com/mtngld/lsim.git
Use monodepth excellent downloader in order to get the data for kitti.
For cityscapes see https://www.cityscapes-dataset.com/
We thank Godard et al. for their excellent paper and code.
@inproceedings{monodepth17,
title = {Unsupervised Monocular Depth Estimation with Left-Right Consistency},
author = {Cl{\'{e}}ment Godard and
Oisin {Mac Aodha} and
Gabriel J. Brostow},
booktitle = {CVPR},
year = {2017}
}
@inproceedings{goldman2019lsim,
title={Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation},
author={Goldman, Matan and Hassner, Tal and Avidan, Shai},
booktitle={Computer Vision and Pattern Recognition Workshops (CVPRW)},
year=2019
}