FBOW
This is a modified version of the original FBoW by @rmsalinas. Some changes were taken over from the already modified FBoW by @shinsumicco.
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FBoW (Fast Bag of Words) is an extremely 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 about 80x faster than DBoW2.
In transforming an image into Bag of Words using on machines with AVX instructions, it is about 6.4x faster.
* 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
* Not yet implemented indexing of images.
If you use this project in academic research you must cite us. This project is part of the ucoslam project. Visit ucoslam.com for more information
In directory vocabularies you have one already prepared for orb.
Go to test and run the program test_dbow2VSfbow
This software is distributed under MIT License. See the LICENSE.