August 5, 2022 Software Open Access

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

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    <subfield code="a">&lt;p&gt;This package contains the software and the trained models described in the publication &lt;a href="https://arxiv.org/abs/2202.03107"&gt;&amp;quot;Bubble identification from images with machine learning methods&amp;quot;&lt;/a&gt;. Please refer to the README.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Update&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;The Prediction_demo.ipynb includes now an example how to prepare the predictions for the tracking algorithm of &lt;a href="https://arxiv.org/abs/2306.02101"&gt;&amp;quot;Fate of bubble clusters rising in a quiescent liquid&amp;quot;&lt;/a&gt;. The tracking code can be found &lt;a href="https://rodare.hzdr.de/record/2316"&gt;here&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Update&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Now only tensorflow models are used, so no MXNet installation required.&lt;/p&gt;</subfield>
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