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C++ library for controlling Raspberry Pi Camera (with/without OpenCV)
...Main features:
- Provides class RaspiCam for easy and full control of the camera
- Provides class RaspiCam_Cv for easy control of the camera with OpenCV.
- Easy compilation/installation using cmake.
- No need to install development file of userland. Implementation is hidden.
- Many examples
The software annotates text with 41 broad semantic categories (Wordnet supersenses) for both nouns and verbs; i.e., it performs both sense disambiguation and named-entity recognition. The tagger implements a discriminatively-trained Hidden Markov Model.
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.
GibbsLDA++: A C/C++ Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for parameter estimation and inference. GibbsLDA++ is fast and is designed to analyze hidden/latent topic structures of large-scale (text) data collections.