Conditional Random Field (CRF) implementation / library

Question

I am looking for a free C++ conditional random field (CRF) implementation but not for text processing.

There are bunch of cool implementations:

CRFsuite (for text processing)
CRF++ (for text processing)
JGMT (Matlab - MEX not C++)

There are other packages like Darwin and HCRF with no usage examples in C++.

I'm wondering if anybody know any C++ CRF library other than what I mentioned above or know any example on how to setup and use Darwin or HCRF?

[See point 4. please](http://stackoverflow.com/help/on-topic) — πάντα ῥεῖ, May 20 '16 at 20:12
CRFsuite works fine for non-text things (but all it gives you is linear-chain CRFs) — Tavian Barnes, May 20 '16 at 20:12
Nowadays there is an implementation that use DGM and OpenCV: https://github.com/ereator/Dense-CRF — John_Sharp1318, Aug 23 '18 at 18:59

score 1 · Answer 1 · edited Mar 15 '19 at 06:45

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DenseCRF is a great library that performs dense conditional random field (fully-connected CRF) very efficiently. The package comes with an easy to understand C++ demo and some examples. It is very fast and produces promising results on image data.

edited Mar 15 '19 at 06:45

GPrathap

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answered Oct 29 '16 at 06:55

Monaj

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score 1 · Answer 2 · answered Aug 29 '18 at 16:30

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DGM is a very poserful but simple-to use CRF library, written on C++11. It was designed especially for image processing and includes many usage examples in tutorials.

It also includes the DenseCRF, mentioned in other answer.

answered Aug 29 '18 at 16:30

Sergej Kosov

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score 0 · Answer 3 · answered Aug 25 '16 at 23:38

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There is DGM C++ library implementing CRFs for image classification: http://research.project-10.de/dgm

answered Aug 25 '16 at 23:38

user6759246

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Conditional Random Field (CRF) implementation / library

3 Answers3