# fbow

**Repository Path**: Sytx_1/fbow

## Basic Information

- **Project Name**: fbow
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-12-17
- **Last Updated**: 2025-12-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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.

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## 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. 

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## 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


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## Vocabularies

In directory vocabularies you have one already prepared for orb.
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## Test speed
 Go to test and run the program test_dbow2VSfbow
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## License
This software is distributed under MIT License