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Hello,
I would like to ask how to use dual-camera datasets with HLOC.
In my case, I have two cameras capturing images simultaneously (stereo setup).
With tools like COLMAP or Agisoft Metashape, handling such datasets works fine, but for HLOC I couldn’t find any documentation or examples regarding multi-camera support.
Question
- How can I reconstruct images captured from two cameras simultaneously with HLOC?
- Is there a recommended workflow for multi-camera systems (e.g., stereo rigs), or do I need to adapt the pipeline manually?
This is the pipeline I currently use (paths are kept generic here):
# Feature extraction
python -m hloc.extract_features \
--conf superpoint_aachen \
--image_dir path/to/images \
--export_dir path/to/outputs/sfm/
# Image retrieval and pair selection
python -m hloc.extract_features \
--conf netvlad \
--image_dir path/to/images \
--export_dir path/to/outputs/sfm/
python -m hloc.pairs_from_retrieval \
--descriptors path/to/outputs/sfm/global-feats-netvlad.h5 \
--output path/to/outputs/sfm/pairs-netvlad.txt \
--num_matched 5
# Feature matching
python -m hloc.match_features \
--conf superglue \
--pairs path/to/outputs/sfm/pairs-netvlad.txt \
--features feats-superpoint-n4096-r1024 \
--export_dir path/to/outputs/sfm/
# SfM reconstruction
python -m hloc.reconstruction \
--sfm_dir path/to/outputs/sfm/sfm_superpoint+superglue \
--image_dir path/to/images \
--pairs path/to/outputs/sfm/pairs-netvlad.txt \
--features path/to/outputs/sfm/feats-superpoint-n4096-r1024.h5 \
--matches path/to/outputs/sfm/feats-superpoint-n4096-r1024_matches-superglue_pairs-netvlad.h5
# Example for fisheye
python -m hloc.reconstruction \
--sfm_dir path/to/outputs/sfm/sfm_superpoint+superglue \
--image_dir path/to/images \
--pairs path/to/outputs/sfm/pairs-netvlad.txt \
--features path/to/outputs/sfm/feats-superpoint-n4096-r1024.h5 \
--matches path/to/outputs/sfm/feats-superpoint-n4096-r1024_matches-superglue_pairs-netvlad.h5 \
--camera_mode SINGLE \
--image_options camera_model="'OPENCV_FISHEYE'"
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