Software Open Access
Hessenkemper, Hendrik; Starke, Sebastian; Atassi, Yazan; Ziegenhein, Thomas; Lucas, Dirk
{ "@id": "https://doi.org/10.14278/rodare.2566", "name": "Software for Bubble identification from images with machine learning methods", "url": "https://rodare.hzdr.de/record/2566", "@context": "https://schema.org/", "inLanguage": { "alternateName": "eng", "name": "English", "@type": "Language" }, "version": "1.0", "description": "<p>This package contains the software and the trained models described in the publication <a href=\"https://arxiv.org/abs/2202.03107\">"Bubble identification from images with machine learning methods"</a>. Please refer to the README.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration.</p>\n\n<p><strong>Update</strong></p>\n\n<p>The Prediction_demo.ipynb includes now an example how to prepare the predictions for the tracking algorithm of <a href=\"https://arxiv.org/abs/2306.02101\">"Fate of bubble clusters rising in a quiescent liquid"</a>. The tracking code can be found <a href=\"https://rodare.hzdr.de/record/2316\">here</a>.</p>\n\n<p><strong>Update</strong></p>\n\n<p>Now only tensorflow models are used, so no MXNet installation required.</p>", "datePublished": "2022-08-05", "sameAs": [ "https://www.hzdr.de/publications/Publ-34349" ], "keywords": [ "Bubbly flows", "Deep Learning", "Computer Vision", "CNN", "Semantic segmentation" ], "creator": [ { "@id": "https://orcid.org/0000-0002-2588-694X", "affiliation": "HZDR", "name": "Hessenkemper, Hendrik", "@type": "Person" }, { "affiliation": "HZDR", "name": "Starke, Sebastian", "@type": "Person" }, { "affiliation": "HZDR", "name": "Atassi, Yazan", "@type": "Person" }, { "@id": "https://orcid.org/0000-0002-1378-3900", "affiliation": "TIVConsultancy", "name": "Ziegenhein, Thomas", "@type": "Person" }, { "@id": "https://orcid.org/0000-0003-0463-2278", "affiliation": "HZDR", "name": "Lucas, Dirk", "@type": "Person" } ], "identifier": "https://doi.org/10.14278/rodare.2566", "@type": "SoftwareSourceCode", "license": "https://creativecommons.org/licenses/by/4.0/legalcode" }
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