FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
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Updated
Nov 22, 2021 - C++
FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
My works for EE 569 - Digital Image Processing - Spring 2018 - Graduate Coursework at USC - Dr. C.-C. Jay Kuo
instance search of bow model framework(ins bagger)
Dense Bag-of-Temporal-SIFT-Words
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Fast-bag-of-words ROS wrapper for feature-based place detection and relocalization.
A simple Bag of Words implementation using OpenCV C++.
Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques
Object classifier using the bag of words approach in OpenCV 3.2
This is forked from https://github.com/OpenVSLAM-Community/FBoW (Original at https://github.com/shinsumicco/FBoW)
Practice of Natural Language Processing
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