Software Open Access

Software for Bubble identification from images with machine learning methods

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


JSON Export

{
  "revision": 2, 
  "updated": "2023-11-20T13:47:21.421396+00:00", 
  "owners": [
    179
  ], 
  "stats": {
    "volume": 1386749600.0, 
    "unique_downloads": 23.0, 
    "version_unique_downloads": 183.0, 
    "unique_views": 122.0, 
    "downloads": 40.0, 
    "version_unique_views": 1063.0, 
    "version_views": 1635.0, 
    "version_downloads": 285.0, 
    "version_volume": 6552135451.0, 
    "views": 137.0
  }, 
  "id": 2566, 
  "conceptrecid": "1470", 
  "metadata": {
    "communities": [
      {
        "id": "energy"
      }, 
      {
        "id": "fwd"
      }, 
      {
        "id": "hzdr"
      }, 
      {
        "id": "rodare"
      }
    ], 
    "relations": {
      "version": [
        {
          "is_last": true, 
          "index": 3, 
          "count": 4, 
          "parent": {
            "pid_value": "1470", 
            "pid_type": "recid"
          }, 
          "last_child": {
            "pid_value": "2566", 
            "pid_type": "recid"
          }
        }
      ]
    }, 
    "access_right_category": "success", 
    "language": "eng", 
    "keywords": [
      "Bubbly flows", 
      "Deep Learning", 
      "Computer Vision", 
      "CNN", 
      "Semantic segmentation"
    ], 
    "creators": [
      {
        "orcid": "0000-0002-2588-694X", 
        "affiliation": "HZDR", 
        "name": "Hessenkemper, Hendrik"
      }, 
      {
        "affiliation": "HZDR", 
        "name": "Starke, Sebastian"
      }, 
      {
        "affiliation": "HZDR", 
        "name": "Atassi, Yazan"
      }, 
      {
        "orcid": "0000-0002-1378-3900", 
        "affiliation": "TIVConsultancy", 
        "name": "Ziegenhein, Thomas"
      }, 
      {
        "orcid": "0000-0003-0463-2278", 
        "affiliation": "HZDR", 
        "name": "Lucas, Dirk"
      }
    ], 
    "title": "Software for Bubble identification from images with machine learning methods", 
    "publication_date": "2022-08-05", 
    "doi": "10.14278/rodare.2566", 
    "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\">&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>", 
    "doc_id": "1", 
    "access_right": "open", 
    "related_identifiers": [
      {
        "identifier": "https://www.hzdr.de/publications/Publ-34349", 
        "scheme": "url", 
        "relation": "isIdenticalTo"
      }, 
      {
        "identifier": "https://www.hzdr.de/publications/Publ-34350", 
        "scheme": "url", 
        "relation": "isReferencedBy"
      }, 
      {
        "identifier": "10.14278/rodare.1470", 
        "scheme": "doi", 
        "relation": "isVersionOf"
      }
    ], 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "resource_type": {
      "type": "software", 
      "title": "Software"
    }, 
    "pub_id": "34349"
  }, 
  "conceptdoi": "10.14278/rodare.1470", 
  "created": "2023-11-20T12:40:40.885680+00:00", 
  "links": {
    "badge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.2566.svg", 
    "doi": "https://doi.org/10.14278/rodare.2566", 
    "conceptbadge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.1470.svg", 
    "conceptdoi": "https://doi.org/10.14278/rodare.1470", 
    "bucket": "https://rodare.hzdr.de/api/files/b1c64d2f-6a01-4ebc-89bf-34f358ac4040", 
    "html": "https://rodare.hzdr.de/record/2566", 
    "latest": "https://rodare.hzdr.de/api/records/2566", 
    "latest_html": "https://rodare.hzdr.de/record/2566"
  }, 
  "files": [
    {
      "size": 4028482, 
      "key": "CodeRepo.zip", 
      "checksum": "md5:3e7b49ad85cd644dba8e4b7c88bfb1a1", 
      "bucket": "b1c64d2f-6a01-4ebc-89bf-34f358ac4040", 
      "type": "zip", 
      "links": {
        "self": "https://rodare.hzdr.de/api/files/b1c64d2f-6a01-4ebc-89bf-34f358ac4040/CodeRepo.zip"
      }
    }, 
    {
      "size": 65308998, 
      "key": "Models.zip", 
      "checksum": "md5:f4a6990ae1e39c12ff9e9f619ca7b640", 
      "bucket": "b1c64d2f-6a01-4ebc-89bf-34f358ac4040", 
      "type": "zip", 
      "links": {
        "self": "https://rodare.hzdr.de/api/files/b1c64d2f-6a01-4ebc-89bf-34f358ac4040/Models.zip"
      }
    }
  ], 
  "doi": "10.14278/rodare.2566"
}
1,635
285
views
downloads
All versions This version
Views 1,635137
Downloads 28540
Data volume 6.6 GB1.4 GB
Unique views 1,063122
Unique downloads 18323

Share

Cite as