This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects.
Features
- The Viterbi implementation is based on Viterbi Algorithm in Wikipedia.
- The Baum-Welch Training method is implemented based on "a revealing introduction to hidden markov models"
- The inputs and outputs of CvHMM class is handled by cv::Mat (OpenCV)
- The syntax of the member functions is as simple as HMM in MATLAB.
License
BSD LicenseFollow CvHMM
You Might Also Like
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of CvHMM!