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@ -3,7 +3,7 @@ |
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<br/> |
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> LoFTR: Detector-Free Local Feature Matching with Transformers |
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> [Jiaming Sun](https://jiamingsun.ml)<sup>\*</sup>, [Zehong Shen](https://zehongs.github.io/)<sup>\*</sup>, [Yu'ang Wang](https://github.com/angshine)<sup>\*</sup>, [Hujun Bao](http://www.cad.zju.edu.cn/bao/), [Xiaowei Zhou](http://www.cad.zju.edu.cn/home/xzhou/) |
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> [Jiaming Sun](https://jiamingsun.ml)<sup>\*</sup>, [Zehong Shen](https://zehongs.github.io/)<sup>\*</sup>, [Yu'ang Wang](https://github.com/angshine)<sup>\*</sup>, [Hujun Bao](http://www.cad.zju.edu.cn/home/bao/), [Xiaowei Zhou](http://www.cad.zju.edu.cn/home/xzhou/) |
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> CVPR 2021 |
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![demo_vid](assets/loftr-github-demo.gif) |
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@ -107,7 +107,7 @@ cd demo |
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# export CUDA_VISIBLE_DEVICES=0 |
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echo "Running LoFTR demo.." |
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eval "$(conda shell.zsh hook)" |
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eval "$(conda shell.bash hook)" |
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conda activate loftr |
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python demo_loftr.py --weight $model_ckpt --input $input |
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# To save the input video and output match visualizations. |
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