Code Repository for A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution (SMFN)

1 Prerequisites

1.1 Install PyTorch

conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch-lts

1.2 Install MMCV

pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html

2 Data Preparation

ln -s /your/path data/MigVR
ln -s /your/path data/MigVR56789
ln -s /your/path data/MigVRTest

3 Train and Test

3.1 Init

python setup.py develop

3.2 Train

python options/SMFN/train.py

3.3 Test

python options/SMFN/test.py

Acknowledgements

The organization of this repository is modeled after BasicSR.

@misc{wang2020basicsr,
  author =       {Xintao Wang and Ke Yu and Kelvin C.K. Chan and
                  Chao Dong and Chen Change Loy},
  title =        {{BasicSR}: Open Source Image and Video Restoration Toolbox},
  howpublished = {\url{https://github.com/xinntao/BasicSR}},
  year =         {2018}
}