https://github.com/eguvep/jpiv
JPIV – Particle Image Velocimetry (PIV) evaluation software.
https://github.com/eguvep/jpiv
Last synced: about 1 month ago
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JPIV – Particle Image Velocimetry (PIV) evaluation software.
- Host: GitHub
- URL: https://github.com/eguvep/jpiv
- Owner: eguvep
- Created: 2020-04-19T16:07:06.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2023-06-25T21:19:44.000Z (almost 2 years ago)
- Last Synced: 2024-02-17T13:32:17.177Z (about 1 year ago)
- Language: Java
- Size: 52.5 MB
- Stars: 13
- Watchers: 5
- Forks: 22
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
Awesome Lists containing this project
- awesome_piv - eguvep / jpiv
README
# JPIV – Particle Image Velocimetry (PIV) evaluation software
## What is this?
JPIV is a complete and open source software package for 2D [Particle Image Velocimetry (PIV)](https://en.wikipedia.org/wiki/Particle_image_velocimetry) – an image based fluid flow measurement technology. JPIV is [widely used in research for analysing all kinds of pattern movement](https://scholar.google.com/scholar?&q=jpiv+software).
## Homepage
https://eguvep.github.io/jpiv/index.html
## Features
- graphical user interface providing an efficient workflow and batch processing
- entirely written in Java, therefore platform independent
- highly accurate and fast because of multi-pass, multi-grid, FFT based correlation algorithmm
- ensemble correlation (correlation averaging) implemented
- complete ready for Micro-PIV and high resolution boundary flow measurements: rectangular evaluation areas possible, single pixel resolution ensemble evaluation implemented
- image preprocessing
- outlier detection
- masking
- calculation of various statistical information as well as some derivatives like vorticity
- 3d velocity field reconstruction from 2d planes in incompressible flows
- publication ready vector plots and export in various vector graphics and pixel formats
- batch processing
- arbitrary velocity profile extraction
- region of interest
- synthetic image generation
- extension and automation by user scripts## Running JPIV
Prerequisite: A Java Runtime Environment (JRE).
1. Download the [zip-archive](https://github.com/eguvep/jpiv/raw/master/jpiv.zip).
2. Extract it to your hard disc.
3. Open a terminal and `cd` into the new directory.
4. Execute `java -jar JPIV.jar`.## Using JPIV
- [Quick Start Video on Vimeo](https://vimeo.com/412768212)
- [Introduction for PIV Novices](https://eguvep.github.io/jpiv/introduction.html)
- [Quick Start Guide for JPIV Beginners](https://eguvep.github.io/jpiv/fiststeps.html)
- [HOWTO for Expert Users](https://eguvep.github.io/jpiv/howto.html)
- [JPIV Parameter Reference](https://eguvep.github.io/jpiv/settings.html)
- [Test Images](https://eguvep.github.io/jpiv/download.html)## Extending JPIV
- [User Script Coding Intro](https://eguvep.github.io/jpiv/scripting.html)
- [JPIV Code Documentation](https://eguvep.github.io/jpiv/javadoc/)## Related Projects
Also check out the [OpenPivGui project](https://openpiv-tk-gui.readthedocs.io/en/latest/index.html).