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Quick answer

Gated Linear Networks (GLN) based lossless image compression is an open source machine vision project from Hackster.io, indexed by ZouIC. Our goal is to make medical data storage systems more efficient by introducing high compression ratio lossless image compression.

Source
Hackster.io
Focus
machine vision
Author
Endija Briede
Published
2020-12-17

Common questions

What does Gated Linear Networks (GLN) based lossless image compression do?

Our goal is to make medical data storage systems more efficient by introducing high compression ratio lossless image compression.

Where does Gated Linear Networks (GLN) based lossless image compression come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/janissate/gated-linear-networks-gln-based-lossless-image-compression-13dfd7.

What stack does Gated Linear Networks (GLN) based lossless image compression use?

tags AMD Xilinx, wip, advanced.

When was Gated Linear Networks (GLN) based lossless image compression published?

The source page lists 2020-12-17.

Gated Linear Networks (GLN) based lossless image compression
Hackster.io All from this source License per the original page vision

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

Gated Linear Networks (GLN) based lossless image compression

Published 2020-12-17

Our goal is to make medical data storage systems more efficient by introducing high compression ratio lossless image compression.

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
advanced
content type
wip

Related resources and purchase links

Statistics

respects
1
views
481

Project Info

Source PlatformHackster.io
Categoryvision
LicenseLicense per the original page
Views481
Likes1
Discussions0

Author Info

Endija Briede
View Profile

Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
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