DefaultBoxGenerationusingKmeans | generate default box settings using kmeans

by JimmyLauren Python Version: Current License: MIT

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kandi X-RAY | DefaultBoxGenerationusingKmeans Summary

DefaultBoxGenerationusingKmeans is a Python library. DefaultBoxGenerationusingKmeans has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However DefaultBoxGenerationusingKmeans build file is not available. You can download it from GitHub.

<<<<<<< HEAD # kmeans-anchor-boxes This repository contains an implementation of k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper [1].

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DefaultBoxGenerationusingKmeans has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of DefaultBoxGenerationusingKmeans is current.

Quality

DefaultBoxGenerationusingKmeans has no bugs reported.

Security

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

License

DefaultBoxGenerationusingKmeans is licensed under the MIT License. This license is Permissive.

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

Reuse

DefaultBoxGenerationusingKmeans releases are not available. You will need to build from source code and install.

DefaultBoxGenerationusingKmeans has no build file. You will be need to create the build yourself to build the component from source.

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

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DefaultBoxGenerationusingKmeans Key Features

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DefaultBoxGenerationusingKmeans Examples and Code Snippets

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Vulnerabilities

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Install DefaultBoxGenerationusingKmeans

You can download it from GitHub.
You can use DefaultBoxGenerationusingKmeans 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.

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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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