Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
Install and use a Python tool for advanced image processing with fully connected conditional random fields.
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pydensecrf has 2k stars on GitHub. It has been forked 428 times. pydensecrf is written mainly in C++. It has been in active development since 2015. pydensecrf is available under the MIT license. Its main topics are computer-vision, crf, cython, eigen.
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
pydensecrf is an open-source project. It is released under the MIT license.
Yes. pydensecrf is free and open source — you can use, modify and self-host it.
pydensecrf is available under the MIT license.
pydensecrf is written mainly in C++.
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