Update README.md

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      README.md

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<br/>
> LoFTR: Detector-Free Local Feature Matching with Transformers
> [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/)
> [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/)
> CVPR 2021
![demo_vid](assets/loftr-github-demo.gif)
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# export CUDA_VISIBLE_DEVICES=0
echo "Running LoFTR demo.."
eval "$(conda shell.zsh hook)"
eval "$(conda shell.bash hook)"
conda activate loftr
python demo_loftr.py --weight $model_ckpt --input $input
# To save the input video and output match visualizations.

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