ebiv
Event-based image velocimetry - retrieve velocity maps from event-based camera recordings of fluid flows containing particles
Science Score: 57.0%
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Low similarity (12.5%) to scientific vocabulary
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Event-based image velocimetry - retrieve velocity maps from event-based camera recordings of fluid flows containing particles
Basic Info
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- Stars: 16
- Watchers: 4
- Forks: 6
- Open Issues: 1
- Releases: 0
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Metadata Files
README.md
EBIV - Event-based image velocimetry
Python and C++ code implementations for the analysis of event-camera recordings obtained from fluid flows.
Input: raw event data represented as time-surfaces

Output: Recovered velocity field

Updates
June 2024: - added source code for pyEBIV Python interface including compilation instructions for Windows using Visual Studio commandline toolset (VS2022) - sample raw data of water jet recorded with pulsed-EBIV including Python script showing pulsed event-data handling - added PyBind11-based interface to library
Installation using PIP
Download and unpack the repository.\ Open a Python console and navigate to the ./pyebiv directory.\ Run the following PIP command:
pip install .
This assumes that PyBind11 and a suitable build system such as Visual Studio commandline tools are installed. The resulting interface will be copied to the ./site_packages directory of the Python distribution.
Publications
[Associated publications] - "Event-based imaging velocimetry: an assessment of event-based cameras for the measurement of fluid flows"\ (Experiments in Fluids 63, Article number 101 (2022), DOI 10.1007/s00348-022-03441-6)\ [Open access] https://doi.org/10.1007/s00348-022-03441-6
- "Event-based imaging velocimetry using pulsed illumination"\ (Experiments in Fluids 64, Article number 98 (2023), DOI 10.1007/s00348-023-03641-8)\ [Open access] https://doi.org/10.1007/s00348-023-03641-8
``` @article{EBIV:2022, title = {Event-based imaging velocimetry: an assessment of event-based cameras for the measurement of fluid flows}, author = {Willert, Christian and Klinner, Joachim}, doi = {10.1007/s00348-022-03441-6}, url = {https://doi.org/10.1007/s00348-022-03441-6}, journal = {Exp. Fluids}, volume = {63}, pages = {101}, year = {2022}, }
@article{PulsedEBIV:2023,
title={Event-based imaging velocimetry using pulsed illumination},
author = {Christian Willert},
doi = {10.1007/s00348-023-03641-8},
url = {https://doi.org/10.1007/s00348-023-03641-8},
journal = {Exp. Fluids},
volume={64},
pages={98},
year = {2023},
}
```
Further reading
https://github.com/uzh-rpg/event-basedvisionresources
Acknowledgements
Part of the pyEBIV interface makes use of Prophesee's Metavision SDK, in particular portions of the raw-file decoder (metavisionevt3rawfiledecoder.cpp), licensed under the Apache License, Version 2.0.
Owner
- Login: cewdlr
- Kind: user
- Repositories: 1
- Profile: https://github.com/cewdlr
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Event-based imaging velocimetry
message: 'If you use this software, please cite it as below.'
type: software
authors:
- given-names: Chris Willert
affiliation: DLR
email: chris.willert@dlr.de
orcid: 'https://orcid.org/0000-0002-1668-0181'
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