Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/254875
Share/Export:
logo share SHARE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Title

Liquid volume estimation from RGB images

AuthorsCobo Cano, Miriam ORCID
Issue DateNov-2021
CitationCobo Cano, Miriam; nov-2021; Liquid volume estimation from RGB images [software]; DIGITAL.CSIC; http://dx.doi.org/10.20350/digitalCSIC/14025
DescriptionThis work provides a tool to train and evaluate an image regression model. The code is prepared for liquid volume estimation of glass containers as part of the BrainGut_WineUp project. It was adapted from the original image classification module developed in the DEEP Hybrid-DataCloud project.
Publisher version (URL)https://github.com/MiriamCobo/BrainGut-WineUp
URIhttp://hdl.handle.net/10261/254875
DOI10.20350/digitalCSIC/14025
Appears in Collections:(IFCA) Programas informáticos

Files in This Item:
File Description SizeFormat
BrainGut-WineUp-master.zip5,52 MBUnknownView/Open
README.txt952 BTextView/Open
Show full item record
Review this work

Page view(s)

67
checked on Jan 16, 2022

Download(s)

4
checked on Jan 16, 2022

Google ScholarTM

Check

Altmetric

Dimensions


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.