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Software for Bubble identification from images with machine learning methods

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


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{
  "author": [
    {
      "family": "Hessenkemper, Hendrik"
    }, 
    {
      "family": "Starke, Sebastian"
    }, 
    {
      "family": "Atassi, Yazan"
    }, 
    {
      "family": "Ziegenhein, Thomas"
    }, 
    {
      "family": "Lucas, Dirk"
    }
  ], 
  "DOI": "10.14278/rodare.2566", 
  "publisher": "Rodare", 
  "title": "Software for Bubble identification from images with machine learning methods", 
  "language": "eng", 
  "version": "1.0", 
  "issued": {
    "date-parts": [
      [
        2022, 
        8, 
        5
      ]
    ]
  }, 
  "type": "article", 
  "abstract": "<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>", 
  "id": "2566"
}
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