Project development was moved to the https://github.com/Kolkir/Coarse_LoFTR_TRT
TensorRT adaptation of LoFTR: Detector-Free Local Feature Matching with Transformers
This a clone of the original LoFTR repository.
The code was adapted for compatibility with TRTorch compile, especially dependencies to einsum and einops were removed.
The goal is to create TensorRT optimized inference PyTorch script that can be used on NVidia Jetson Nano device with reasonable performance.
For weights download please use original url that was provider by paper authors, the outdoor-ds file is only supported.
TODO:
- [] Share the complete optimized PyTorch script
@article{sun2021loftr,
title={{LoFTR}: Detector-Free Local Feature Matching with Transformers},
author={Sun, Jiaming and Shen, Zehong and Wang, Yuang and Bao, Hujun and Zhou, Xiaowei},
journal={{CVPR}},
year={2021}
}