boundary_boost_mmseg | `` Boosting Semantic Segmentation with Semantic Boundaries

by haruishi43 Python Version: Current License: Apache-2.0

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kandi X-RAY | boundary_boost_mmseg Summary

boundary_boost_mmseg is a Python library. boundary_boost_mmseg has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

"Boosting Semantic Segmentation with Semantic Boundaries"

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Quality

Security

License

Reuse

Support

boundary_boost_mmseg has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

boundary_boost_mmseg has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of boundary_boost_mmseg is current.

Quality

boundary_boost_mmseg has no bugs reported.

Security

boundary_boost_mmseg has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

boundary_boost_mmseg is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

boundary_boost_mmseg 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.

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boundary_boost_mmseg Key Features

No Key Features are available at this moment for boundary_boost_mmseg.

boundary_boost_mmseg Examples and Code Snippets

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Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install boundary_boost_mmseg

You can download it from GitHub.
You can use boundary_boost_mmseg 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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