pydensecrf

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Type
Collection
Author
Beyer, Lucas
Execution Platform
Linux
Mac
Windows
Implementation Type
library
Programming Language
C++
Python
License/Openness
Free and open source
License
MIT
Description

This is a (Cython-based) Python wrapper for Philipp Krähenbühl's Fully-Connected CRFs (version 2).

Entry Curator
lascholz
Post date
03/15/2019 - 01:16
Last modified
03/15/2019 - 01:24
Workflow steps
Step number: purpose
Image processing
Download Page
pydensecrf GitHub repository
Reference Publication Link
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials