deep-image-matching
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Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
Hi, First thank you for this awesome project ! I wonder if it is possible to set initial camera params in the cameras.yaml file ? For example, if I define...
Hi, thanks for the great support for multi focal length, it works fine. And I have some small questions about camera model part. 1. Why does model `simple-radial` set default...
Use [*Hydra*](https://hydra.cc/docs/tutorials/structured_config/schema/) to manage confiuration and make it **completely equivalent** using yaml files, command line and GUI (in the future) for running DIM.
Could be nice to not convert 16bit images to 8bit images, and check if DL local features works better
Now it is possible that a feature in one image is matched with more than one feature in the other image (due to the overlap in tiling)
HI! Thank you very much for a wonderfull job you did! I've tried to run a reconstruction python ./main.py --config superpoint+lightglue --images images --outs out --strategy sequential --overlap 2 --force...
All the detector-free matchers (loftr, se2-loftr, roma) work only on image pairs. Therefore, these approaches currentely return matches on each pair of images with multiplicity (track length) of 2. We...
Merged matches from different local features are written in COLMAP databases both as raw and verified matches. If verified matches are deleted in COLMAP GUI and then run only geometric...
Now you have to statically define the number of tiles and the Tiler compute the limits of the tiling grid. We should also give the possibility to set the tile...
Now all the matcher classes return only the image coordinates of the matched keypoints. We should keep track also of the matching score/confidence/certainty (especially for dense/semi-dense matchers such as RoMa)