360° Optical Flow using Tangent Images
This repository contains the source code for BMVC 2021 paper "360° Optical Flow using Tangent Images".
In this project root folder run pip install -r requirements.txt
to install the dependency.
-
Run
python main.py
to estimate the 360° optical flow with demo data. -
Run
test_replica360.py
to estimate the 360° optical flow on the whole Replica 360° dataset and quantitative evaluate the result.
- Replica 360°
Please download the Replica 360° optical flow data from link.
The mask file xxxx_mask_pano.png
indicate the unavailable pixels.
The value 0 pixel's RGB, depth and optical flow are unavailable, the value 1 pixels are available.
- OmniPhotos
Please download the 360° OmniPhotos dataset from OmniPhotos webpage.
If you think our code useful, please consider citing our paper:
@InProceedings{yuan2021panoof,
title={360° Optical Flow using Tangent Images},
author={Yuan, Mingze and Christian, Richardt},
booktitle = {Proceedings of the 32nd British Machine Vision Conference (BMVC)},
year={2021}
}
We thank the reviewers for their valuable feedback that has helped us improve our paper.
This work was supported by an EPSRC-UKRI Innovation Fellowship (EP/S001050/1) and RCUK grant CAMERA (EP/M023281/1, EP/T022523/1).
This repository is released under the MIT license.