Software Open Access
Hessenkemper, Hendrik;
Wang, Lantian;
Lucas, Dirk;
Shiyong, Tan;
Rui, Ni;
Ma, Tian
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Hessenkemper, Hendrik</dc:creator> <dc:creator>Wang, Lantian</dc:creator> <dc:creator>Lucas, Dirk</dc:creator> <dc:creator>Shiyong, Tan</dc:creator> <dc:creator>Rui, Ni</dc:creator> <dc:creator>Ma, Tian</dc:creator> <dc:date>2024-04-17</dc:date> <dc:description>This package contains the software and the trained models described in the publication "3D detection and tracking of deformable bubbles in swarms with the aid of deep learning models". Please refer to the README.md for installation instructions and to the Tracking3D_demo.ipynb for usage demonstration. Update Minor bug fixes. The code now also provides the option for extended tracking using temporal information from 2D tracks.</dc:description> <dc:identifier>https://rodare.hzdr.de/record/3419</dc:identifier> <dc:identifier>10.14278/rodare.3419</dc:identifier> <dc:identifier>oai:rodare.hzdr.de:3419</dc:identifier> <dc:relation>doi:10.1016/j.ijmultiphaseflow.2024.104932</dc:relation> <dc:relation>url:https://www.hzdr.de/publications/Publ-38982</dc:relation> <dc:relation>url:https://www.hzdr.de/publications/Publ-38980</dc:relation> <dc:relation>url:https://www.hzdr.de/publications/Publ-40163</dc:relation> <dc:relation>doi:10.14278/rodare.2810</dc:relation> <dc:relation>url:https://rodare.hzdr.de/communities/energy</dc:relation> <dc:relation>url:https://rodare.hzdr.de/communities/fwd</dc:relation> <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights> <dc:subject>3D Lagrangian bubble tracking</dc:subject> <dc:subject>Bubble swarms</dc:subject> <dc:subject>Deformable bubbles</dc:subject> <dc:subject>Deep learning</dc:subject> <dc:title>Software publication: 3D detection and tracking of deformable bubbles in swarms with the aid of deep learning models</dc:title> <dc:type>info:eu-repo/semantics/other</dc:type> <dc:type>software</dc:type> </oai_dc:dc>
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Data volume | 1.5 GB | 268.1 MB |
Unique views | 520 | 132 |
Unique downloads | 29 | 5 |
Hessenkemper, Hendrik, Wang, Lantian, Lucas, Dirk, Shiyong, Tan, Rui, Ni, & Ma, Tian. (2024, April 17). Software publication: 3D detection and tracking of deformable bubbles in swarms with the aid of deep learning models. Rodare. http://doi.org/10.14278/rodare.3419