VictorZoo

Some details are as follows: ### 7Scenes with author's model ``` Evaluate scene chess: /home/victor/disk1/Disk_E/pixloc/outputs/results/pixloc_7scenes_chess.txt [12/06/2021 16:26:38 pixloc.utils.eval INFO] Median errors: 0.028m, 0.956deg Percentage of test images localized within: 1cm,...

### Cambridge ``` Evaluate scene OldHospital: /home/victor/disk1/Disk_E/pixloc/outputs/results/pixloc_Cambridge_OldHospital.txt [12/06/2021 21:11:18 pixloc.utils.eval INFO] Median errors: 0.508m, 0.831deg Percentage of test images localized within: 1cm, 1deg : 0.00% 2cm, 2deg : 0.00% 3cm,...

There is another possibility, the ```checkpoints_best.tar``` downloaded by ```python -m pixloc.download --select checkpoints``` is not the best model. Because in the ```.log``` file (megadepth), it displays that there is only...

Hi @Skydes , thanks for your solution. I changed ```reference_sfm='{scene}/sfm_superpoint+superglue+depth/'``` and got the similar results to paper. Detail : | | Chess | Fire | Heads| Office | Pumpkin| Kitchen|...

> Sorry. Please drop me an email again: [[email protected]](mailto:[email protected]). [[email protected]](mailto:[email protected]) is not used. Looking forward to your reply, I have sent you the e-mail. Thanks a lot!

> third party training code for your reference [here](https://github.com/YuYue525/MobileSAM-pytorch) hi，could the training code still be made available? I see the link is broken