源码下载链接:https://zju3dv.github.io/loftr
相关模型下载链接: https://pan.baidu.com/s/1yM91Y4JrRiKJjHQ24ubZKw 密码: 2oc9
2.环境配置- 将文件路径切换到解压后的源码文件夹中执行以下命令
# For full pytorch-lightning trainer features (recommended) 过程漫长,需要等待下载··· conda env create -f environment.yaml conda activate loftr # For the LoFTR matcher only pip install torch einops yacs kornia二、运行demo 1.下载相关代码
cd src/loftr/utils wget https://raw.githubusercontent.com/magicleap/SuperGluePretrainedNetwork/master/models/superglue.py
注意:此处需要修改hosts文件,具体命令如下:
sudo gedit /etc/hosts #将以下内容添加进hosts文件,点击保存,注意此处的IP地址不一定可以使用,建议去https://google.com.ipaddress.com/drive.google.com查询最新的IP地址 185.199.108.133 raw.githubusercontent.com /etc/init.d/networking restart2.运行demo
cd demo ./run_demo.sh #开启摄像头
python demo_loftr.py --weight ../weights/outdoor_ds.ckpt --input ../testdata/scannet_test_1500/npu/color --save_video --save_input
python demo_loftr.py --weight ../weights/outdoor_ds.ckpt --input ../testdata/megadepth_test_1500/Undistorted_SfM/0015/images --save_video --save_input



