feature dim

[CvierXi]

https://github.com/openxrlab/xrlocalization/blob/b0756b220d9f425379ce6ab4e529c5a3d24002ed/xrloc/features/d2net.py#L50

D2Net here output features with 512 dim. But feature I/O and XRSfm only support 256 dim by default.

[HailinYu0414]

Thank you for your reminder. The bug has been fixed https://github.com/openxrlab/xrlocalization/commit/36f6fbe61e5f5c58ed20eaf16498ebcecb5dae91

We recommend you use SuperPoint, which can provide faster and more accurate localization in common scenes. The usage can be referred to here.

[zhd861564272]

Hi,thank you for your answer.A new problem occurred when I used the fix file in xrlocalization.Can you give me a hand ?Thank you. Here is what went wrong. Step 3: Re-extract/match with superpoint 100%|█████████████████████████████████████████| 540/540 [00:58<00:00, 9.25it/s]

100%|██████████████████████████████████████| 7162/7162 [00:52<00:00, 136.84it/s] Step 4: Re-triangulate terminate called after throwing an instance of 'std::bad_alloc' what(): std::bad_alloc recon.sh：行 56: 8591 已放弃 （核心已转储） ./bin/run_triangulation {SFM_DIR}/features.bin {REFINE_DIR} run triangulation failed