Hierarchical-Localization
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cvg
Visual localization made easy with hloc
CLI usage: ```bash python -m hloc.reconstruction [...] \ --image_options camera_model='"RADIAL"' \ --mapper_options ba_global_use_pba=True ba_refine_principal_point=True ``` API usage: ```python model = reconstruction.main( sfm_dir, images, sfm_pairs, features, matches, image_list=references, image_options={'camera_model': 'RADIAL'}, mapper_options={'ba_global_use_pba':...
Hello, I sometimes get this error message, "Could not reconstruct any model!", for some of my datasets. I wanted to understand the reasons for this. Is it because the model...
Hi! I have a dataset with great initial camera poses, of a *very* reflective object. Just from the images, I can't get hloc to reconstruct the complete model. However, I...
Hello, I tried obtaining a 3D reconstruction with images obtained from a simulation environment but it did not give good results. The algorithm recognizes the shape of the objects in...
`colmap_from_nvm.main( dataset / '3D-models/aachen_cvpr2018_db.nvm', dataset / '3D-models/database_intrinsics.txt', dataset / 'aachen.db', sift_sfm) pairs_from_covisibility.main( sift_sfm, sfm_pairs, num_matched=args.num_covis)`
For faster SfM from video frames, and since it was mentioned in https://github.com/cvg/Hierarchical-Localization/issues/135, I made a small image pair generator based on pairs_from_exhaustive. It has a window size, meaning image...
- LoFTR module (`hloc/matchers/loftr.py`) - semi-dense matching on image pairs (`hloc/match_dense.py`) - quantization to store features and matches in hloc format - supports quantization to pre-extracted features (e.g. superpoint)
In the original COLMAP, we can create masks for images so that some features inside the masks can be ignored. Here, I've done the same. If paths to the masks...
While running reconstruction it shown up the message below. What does it mean? and Is it a way to fix it? "W0310 13:02:48.477188 324 levenberg_marquardt_strategy.cc:115] Linear solver failure. Failed to...
