saliency-bms | An implementation of Zhang and Sclaroff 's Boolean Map

by fzliu Python Version: Current License: No License

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kandi X-RAY | saliency-bms Summary

saliency-bms is a Python library. saliency-bms has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This is an implementation of the Boolean Map Saliency algorithm, by Jianming Zhang and Stan Sclaroff, with slight modifications. You can read the paper here:

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Support

saliency-bms has a low active ecosystem.

It has 11 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 25 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of saliency-bms is current.

Quality

saliency-bms has no bugs reported.

Security

saliency-bms has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

saliency-bms does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Build file is available. You can build the component from source.

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

Top functions reviewed by kandi - BETA

kandi has reviewed saliency-bms and discovered the below as its top functions. This is intended to give you an instant insight into saliency-bms implemented functionality, and help decide if they suit your requirements.

Compute the saliency of the image
Activate flood filling of a boolean map

Get all kandi verified functions for this library.

saliency-bms Key Features

No Key Features are available at this moment for saliency-bms.

saliency-bms Examples and Code Snippets

No Code Snippets are available at this moment for saliency-bms.

Community Discussions

No Community Discussions are available at this moment for saliency-bms.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install saliency-bms

You can download it from GitHub.
You can use saliency-bms like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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