|
# Visual Localization with DUSt3R |
|
|
|
## Dataset preparation |
|
|
|
### CambridgeLandmarks |
|
|
|
Each subscene should look like this: |
|
|
|
``` |
|
Cambridge_Landmarks |
|
ββ mapping |
|
β ββ GreatCourt |
|
β β ββ colmap/reconstruction |
|
β β ββ cameras.txt |
|
β β ββ images.txt |
|
β β ββ points3D.txt |
|
ββ kapture |
|
β ββ GreatCourt |
|
β β ββ query # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#cambridge-landmarks |
|
β ... |
|
ββ GreatCourt |
|
β ββ pairsfile/query |
|
β β ββ AP-GeM-LM18_top50.txt # https://github.com/naver/deep-image-retrieval/blob/master/dirtorch/extract_kapture.py followed by https://github.com/naver/kapture-localization/blob/main/tools/kapture_compute_image_pairs.py |
|
β ββ seq1 |
|
β ... |
|
... |
|
``` |
|
|
|
### 7Scenes |
|
Each subscene should look like this: |
|
|
|
``` |
|
7-scenes |
|
ββ chess |
|
β ββ mapping/ # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#1-7-scenes |
|
β ββ query/ # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#1-7-scenes |
|
β ββ pairsfile/query/ |
|
β ββ APGeM-LM18_top20.txt # https://github.com/naver/deep-image-retrieval/blob/master/dirtorch/extract_kapture.py followed by https://github.com/naver/kapture-localization/blob/main/tools/kapture_compute_image_pairs.py |
|
... |
|
``` |
|
|
|
### Aachen-Day-Night |
|
|
|
``` |
|
Aachen-Day-Night-v1.1 |
|
ββ mapping |
|
β ββ colmap/reconstruction |
|
β β ββ cameras.txt |
|
β β ββ images.txt |
|
β β ββ points3D.txt |
|
ββ kapture |
|
β ββ query # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#2-aachen-day-night-v11 |
|
ββ images |
|
β ββ db |
|
β ββ query |
|
β ββ sequences |
|
ββ pairsfile/query |
|
ββ fire_top50.txt # https://github.com/naver/fire/blob/main/kapture_compute_pairs.py |
|
``` |
|
|
|
### InLoc |
|
|
|
``` |
|
InLoc |
|
ββ mapping # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#6-inloc |
|
ββ query # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#6-inloc |
|
ββ pairsfile/query |
|
ββ pairs-query-netvlad40-temporal.txt # https://github.com/cvg/Hierarchical-Localization/blob/master/pairs/inloc/pairs-query-netvlad40-temporal.txt |
|
``` |
|
|
|
## Example Commands |
|
|
|
With `visloc.py` you can run our visual localization experiments on Aachen-Day-Night, InLoc, Cambridge Landmarks and 7 Scenes. |
|
|
|
```bash |
|
# Aachen-Day-Night-v1.1: |
|
# scene in 'day' 'night' |
|
# scene can also be 'all' |
|
python3 visloc.py --model_name DUSt3R_ViTLarge_BaseDecoder_512_dpt --dataset "VislocAachenDayNight('/path/to/prepared/Aachen-Day-Night-v1.1/', subscene='${scene}', pairsfile='fire_top50', topk=20)" --pnp_mode poselib --reprojection_error_diag_ratio 0.008 --output_dir /path/to/output/Aachen-Day-Night-v1.1/${scene}/loc |
|
|
|
# InLoc |
|
python3 visloc.py --model_name DUSt3R_ViTLarge_BaseDecoder_512_dpt --dataset "VislocInLoc('/path/to/prepared/InLoc/', pairsfile='pairs-query-netvlad40-temporal', topk=20)" --pnp_mode poselib --reprojection_error_diag_ratio 0.008 --output_dir /path/to/output/InLoc/loc |
|
|
|
|
|
# 7-scenes: |
|
# scene in 'chess' 'fire' 'heads' 'office' 'pumpkin' 'redkitchen' 'stairs' |
|
python3 visloc.py --model_name DUSt3R_ViTLarge_BaseDecoder_512_dpt --dataset "VislocSevenScenes('/path/to/prepared/7-scenes/', subscene='${scene}', pairsfile='APGeM-LM18_top20', topk=1)" --pnp_mode poselib --reprojection_error_diag_ratio 0.008 --output_dir /path/to/output/7-scenes/${scene}/loc |
|
|
|
# Cambridge Landmarks: |
|
# scene in 'ShopFacade' 'GreatCourt' 'KingsCollege' 'OldHospital' 'StMarysChurch' |
|
python3 visloc.py --model_name DUSt3R_ViTLarge_BaseDecoder_512_dpt --dataset "VislocCambridgeLandmarks('/path/to/prepared/Cambridge_Landmarks/', subscene='${scene}', pairsfile='APGeM-LM18_top50', topk=20)" --pnp_mode poselib --reprojection_error_diag_ratio 0.008 --output_dir /path/to/output/Cambridge_Landmarks/${scene}/loc |
|
|
|
``` |
|
|