# Visual Localization with DUSt3R ## Dataset preparation ### CambridgeLandmarks Each subscene should look like this: ``` Cambridge_Landmarks ├─ mapping │ ├─ GreatCourt │ │ └─ colmap/reconstruction │ │ ├─ cameras.txt │ │ ├─ images.txt │ │ └─ points3D.txt ├─ kapture │ ├─ GreatCourt │ │ └─ query # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#cambridge-landmarks │ ... ├─ GreatCourt │ ├─ pairsfile/query │ │ └─ 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 │ ├─ seq1 │ ... ... ``` ### 7Scenes Each subscene should look like this: ``` 7-scenes ├─ chess │ ├─ mapping/ # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#1-7-scenes │ ├─ query/ # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#1-7-scenes │ └─ pairsfile/query/ │ └─ 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 ├─ mapping │ ├─ colmap/reconstruction │ │ ├─ cameras.txt │ │ ├─ images.txt │ │ └─ points3D.txt ├─ kapture │ └─ query # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#2-aachen-day-night-v11 ├─ images │ ├─ db │ ├─ query │ └─ sequences └─ pairsfile/query └─ fire_top50.txt # https://github.com/naver/fire/blob/main/kapture_compute_pairs.py ``` ### InLoc ``` InLoc ├─ mapping # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#6-inloc ├─ query # https://github.com/naver/kapture/blob/main/doc/datasets.adoc#6-inloc └─ pairsfile/query └─ 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 MASt3R_ViTLarge_BaseDecoder_512_catmlpdpt --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='${scene}', pairsfile='APGeM-LM18_top20', topk=1)" --pnp_mode poselib --reprojection_error_diag_ratio 0.008 --output_dir /path/to/output/Cambridge_Landmarks/${scene}/loc ```