August 5, 2022 Software Open Access

Hessenkemper, Hendrik; Starke, Sebastian; Atassi, Yazan; Ziegenhein, Thomas; Lucas, Dirk

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{
  "name": "Software for Bubble identification from images with machine learning methods", 
  "@id": "https://doi.org/10.14278/rodare.2566", 
  "@context": "https://schema.org/", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "identifier": "https://doi.org/10.14278/rodare.2566", 
  "@type": "SoftwareSourceCode", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "HZDR", 
      "name": "Hessenkemper, Hendrik", 
      "@id": "https://orcid.org/0000-0002-2588-694X"
    }, 
    {
      "@type": "Person", 
      "affiliation": "HZDR", 
      "name": "Starke, Sebastian"
    }, 
    {
      "@type": "Person", 
      "affiliation": "HZDR", 
      "name": "Atassi, Yazan"
    }, 
    {
      "@type": "Person", 
      "affiliation": "TIVConsultancy", 
      "name": "Ziegenhein, Thomas", 
      "@id": "https://orcid.org/0000-0002-1378-3900"
    }, 
    {
      "@type": "Person", 
      "affiliation": "HZDR", 
      "name": "Lucas, Dirk", 
      "@id": "https://orcid.org/0000-0003-0463-2278"
    }
  ], 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-34349"
  ], 
  "url": "https://rodare.hzdr.de/record/2566", 
  "datePublished": "2022-08-05", 
  "description": "<p>This package contains the software and the trained models described in the publication <a href=\"https://arxiv.org/abs/2202.03107\">&quot;Bubble identification from images with machine learning methods&quot;</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\">&quot;Fate of bubble clusters rising in a quiescent liquid&quot;</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>", 
  "keywords": [
    "Bubbly flows", 
    "Deep Learning", 
    "Computer Vision", 
    "CNN", 
    "Semantic segmentation"
  ], 
  "version": "1.0", 
  "inLanguage": {
    "@type": "Language", 
    "alternateName": "eng", 
    "name": "English"
  }
}