submodular-relaxation | Implementation of the submodular relaxation algorithms

by aosokin C++ Version: Current License: MIT

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kandi X-RAY | submodular-relaxation Summary

submodular-relaxation is a C++ library. submodular-relaxation has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This software implements several methods for MRF energy minimization based on the Lagrangian relaxation approach. Each method consists of two parts: the convex optimization routine to maximize the dual and the oracle to compute the value and the subgradient of the dual given some value of the dual variables (Lagrange multipliers).

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submodular-relaxation has a low active ecosystem.

It has 7 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

submodular-relaxation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of submodular-relaxation is current.

Quality

submodular-relaxation has no bugs reported.

Security

submodular-relaxation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

submodular-relaxation is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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submodular-relaxation releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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submodular-relaxation Key Features

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submodular-relaxation Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install submodular-relaxation

The code was tested under. Fortran compilers are required exclusively for the LMBM optimization method. You can use all the other parts of the package without Fortran compilers.
Download the package
Run ./setup_SMR from the package folder (requires internet connection to download the GCO library)
Run ./example_SMR
Win7-x64 using MATLAB R2014a and MSVC 2012 + Intel Visual Fortran Composer XE 2013;
ubuntu-12.04-x64 using MATLAB R2012a and gcc-4.4

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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