Software Open Access
Software for Bubble identification from images with machine learning methods
Hessenkemper, Hendrik;
Starke, Sebastian;
Atassi, Yazan;
Ziegenhein, Thomas;
Lucas, Dirk
This package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer to the README.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration.
Update
The Prediction_demo.ipynb includes now an example how to prepare the predictions for the tracking algorithm of "Fate of bubble clusters rising in a quiescent liquid". The tracking code can be found here.
Update
Now only tensorflow models are used, so no MXNet installation required.
Files
(69.3 MB)
| Name | Size | |
|---|---|---|
|
CodeRepo.zip
md5:3e7b49ad85cd644dba8e4b7c88bfb1a1 |
4.0 MB | Download |
|
Models.zip
md5:f4a6990ae1e39c12ff9e9f619ca7b640 |
65.3 MB | Download |
2,364
348
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 2,364 | 370 |
| Downloads | 348 | 72 |
| Data volume | 8.3 GB | 2.4 GB |
| Unique views | 1,483 | 304 |
| Unique downloads | 224 | 45 |
- Publication date:
- August 5, 2022
- DOI:
-
- Keyword(s):
- Bubbly flows Deep Learning Computer Vision CNN Semantic segmentation
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-34349 - Referenced by:
https://www.hzdr.de/publications/Publ-34350 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International