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?

Answer 1

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

Answer 2

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.

Answer 3

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.