https://github.com/philippemiron/pypiv

Particle image velocimetry (PIV) learning software
https://github.com/philippemiron/pypiv

Last synced: about 1 month ago
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Particle image velocimetry (PIV) learning software

• Host: GitHub
• URL: https://github.com/philippemiron/pypiv
• Owner: philippemiron
• License: mit
• Created: 2015-06-17T14:52:40.000Z (almost 10 years ago)
• Default Branch: main
• Last Pushed: 2021-04-01T23:43:29.000Z (about 4 years ago)
• Last Synced: 2024-02-17T13:31:32.491Z (about 1 year ago)
• Language: Python
• Size: 8.79 KB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome_piv - philippemiron / pypiv

README

        
# pypiv

## Simple PIV script

I built this to understand Particle Image Velocimetry (PIV) and how commercial softwares calculate velocity fields from particle images. Theses scripts use numpy library to evaluate the correlation using bidimensional fast fourrier transfert. 

## How does it work?

 1. image.py: generate double frame images of particles with a analytical velocity fields (set dx, dy)

 2. piv.py: retrieve a window from both images and calculate the correlation (and the its peak) to evaluate the displacement (should retrieve dx, dy!)