Rotten-vs-Fresh-Fruits | made two CNNs using pytorch and tensorflow to detect rotten

by ashthedash2k Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | Rotten-vs-Fresh-Fruits Summary

Rotten-vs-Fresh-Fruits is a Python library. Rotten-vs-Fresh-Fruits has no bugs, it has no vulnerabilities and it has low support. However Rotten-vs-Fresh-Fruits build file is not available. You can download it from GitHub.

I made two CNNs using pytorch and tensorflow to detect rotten vs fresh fruits.

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Support

Rotten-vs-Fresh-Fruits has a low active ecosystem.

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

It had no major release in the last 6 months.

Rotten-vs-Fresh-Fruits has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Rotten-vs-Fresh-Fruits is current.

Quality

Rotten-vs-Fresh-Fruits has no bugs reported.

Security

Rotten-vs-Fresh-Fruits has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Rotten-vs-Fresh-Fruits 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

Rotten-vs-Fresh-Fruits releases are not available. You will need to build from source code and install.

Rotten-vs-Fresh-Fruits has no build file. You will be need to create the build yourself to build the component from source.

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Rotten-vs-Fresh-Fruits Key Features

No Key Features are available at this moment for Rotten-vs-Fresh-Fruits.

Rotten-vs-Fresh-Fruits 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 Rotten-vs-Fresh-Fruits

You can download it from GitHub.
You can use Rotten-vs-Fresh-Fruits 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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