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Ruizhi Shao*, Gaochang Wu*, Yuemei Zhou, Ying Fu, Lu Fang, Yebin Liu
This repository contains the official pytorch implementation of ”LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation“.
Requirements
pytorch
matplotlib
numpy
cv2
tensorboard
kornia
imageio
Pretrained Model
We have provided pretrained model under several settings in One Drive
Training
To train localtrans on the COCO dataset in different setting, run the following code:
sh train.sh
Testing
Run the following code to test on the COCO test dataset.
sh test.sh
Citation
@inproceedings{shao2021localtrans,
title={LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation},
author={Shao, Ruizhi and Wu, Gaochang and Zhou, Yuemei and Fu, Ying and Fang, Lu and Liu, Yebin},
booktitle={IEEE Conference on Computer Vision (ICCV 2021)},
year={2021},
}
About
This repository is the official implementation of LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation.