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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
| Date | Stars |
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| 2026-07-24 | 621 |
| 2026-07-25 | 621 |
| 2026-07-28 | 621 |
| 2026-07-30 | 621 |
| 2026-09-08 | 622 |
| 2026-09-20 | 622 |
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FBOW ===== FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries. The library is highly optimized to speed up the Bag of Words creation using AVX,SSE and MMX instructions. In loading a vocabulary, fbow is ~80x faster than DBOW2 (see tests directory and try). In transforming an image into a bag of words using on machines with AVX instructions, it is ~6.4x faster. ## ## Main features: * Only depends on OpenCV * Any type of descriptors allowed out of the box (binary and real) * Dictionary creation from a set of images. Bugs found in DBOW2/3 corrected. * Extremmely fast bow creation using specialized versions using AVX,SSE and MMX instructions both for binary and floating point descriptors. * Very fast load of vocabularies ## ## The main differences with DBOW2/3 are: * Not yet implemented indexing of images. ## ## Citing If you use this project in academic research you must cite us. This project is part of the ucoslam project. Visit [ucoslam.com](http://ucoslam.com) for more information ## ## Vocabularies In directory vocabularies you have one already prepared for orb. ## ## Test speed Go to test and run the program test_dbow2VSfbow ## ## License This software is distributed under MIT License
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Rafael Muñoz Salinas · University of Córdoba
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d16896b417ea55e4, topic:computer-vision