Comments (1)
You can extract SIFT features with pycolmap.Sift
(supports both CPU and GPU) and match them with hloc's nearest neighbor matcher based on PyTorch. This is also trivial to implement with Numpy.
from pycolmap.
Related Issues (20)
- Link Boost::graph error
- `pycolmap.triangulate_points` is slow compared with colmap `point_triangulator` CLI.
- Build isn't working HOT 4
- Reduce the size of macOS wheels HOT 3
- Can I do Localization with one image? HOT 1
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- pycolmap.MapImageIdImage keys() function is not iterable? HOT 11
- Are the PyPi wheels built with CUDA? HOT 5
- Passing a progress callback to `incremental_mapping`? HOT 1
- Security Address HOT 4
- Missing options in pycolmap.incremental_mapping HOT 2
- How to visualize camera poses HOT 1
- Which images do 3D points belong to? HOT 1
- About the module of pycolmap HOT 3
- Fail to import pycolmap HOT 2
- issue with git clone PYCOLMAP sources HOT 2
- Attribute focal_length_x causes crash HOT 3
- Killed when triangulation HOT 1
- How to enable loop_detection in COLMAP mapping? HOT 1
- In function ‘colmap::Camera infer_camera_from_image(pybind11::object, colmap::ImageReaderOptions)’: pycolmap/pipeline/images.cc:97:10: error: ‘struct colmap::Camera’ has no member named ‘SetCameraId’
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from pycolmap.