jpeg-algorithm | Explanation & Implementation of JPEG algorithm

by 3outeille Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | jpeg-algorithm Summary

jpeg-algorithm is a Jupyter Notebook library. jpeg-algorithm has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This project is part of the CODO "Compression de données" course taught by Guillaume Tochon at EPITA for third year of undergrad studies. Students are expected to provide a notebook explaining how JPEG algorithms works in details along with its implementation.

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Quality

Security

License

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Support

jpeg-algorithm has a low active ecosystem.

It has 3 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

jpeg-algorithm has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of jpeg-algorithm is current.

Quality

jpeg-algorithm has no bugs reported.

Security

jpeg-algorithm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

jpeg-algorithm 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

jpeg-algorithm 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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jpeg-algorithm Key Features

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jpeg-algorithm Examples and Code Snippets

No Code Snippets are available at this moment for jpeg-algorithm.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install jpeg-algorithm

Before running notebook, make sure to run ./install.sh at the root of project.
Once you are done, run ./uninstall.sh.
From the root project, run source codo-env/bin/activate
From the root project, run jupyter notebook src.
Once the notebook is opened, from tabs Kernel > Change Kernel > codo-env.

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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