https://github.com/alexlib/openpiv_pivlab_comparison

discussion started on the forum about comparison with PIVLab and OpenPIV-Python, including PIVPy post-processing, see https://groups.google.com/d/msg/openpiv-users/f_-yEmx0oPQ/05D6TXeBEwAJ
https://github.com/alexlib/openpiv_pivlab_comparison

Last synced: about 2 months ago
JSON representation

discussion started on the forum about comparison with PIVLab and OpenPIV-Python, including PIVPy post-processing, see https://groups.google.com/d/msg/openpiv-users/f_-yEmx0oPQ/05D6TXeBEwAJ

• Host: GitHub
• URL: https://github.com/alexlib/openpiv_pivlab_comparison
• Owner: alexlib
• License: mit
• Created: 2020-01-29T16:39:34.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-11-04T16:54:14.000Z (about 4 years ago)
• Last Synced: 2024-02-17T14:31:12.656Z (10 months ago)
• Language: Jupyter Notebook
• Size: 11.2 MB
• Stars: 1
• Watchers: 5
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome_piv - alexlib / openpiv_pivlab_comparison - Python, including PIVPy post-processing ![python] (Unsorted)

README

        
# openpiv_pivlab_comparison

discussion started on the forum about comparison with PIVLab and OpenPIV-Python, including PIVPy post-processing, see https://groups.google.com/d/msg/openpiv-users/f_-yEmx0oPQ/05D6TXeBEwAJ

## updated discussion and links to the von Karman vortices data

The discussion was renewed https://mail.google.com/mail/u/0/#inbox/FMfcgxwKjBJBRPzlQgBQPtlTtkBmjBjz

and Dr. William Thielicke released his experimental data of von Karman vortices

https://drive.google.com/drive/folders/19dANQcWhC6x_KjDnQw8kTqHHD-PXFD8A?usp=sharing

![demo image](karman_16Hz_000_B.jpg)

The analysis shall be something like: 

```

Analysis of the Karman images, final int area 6 pixels and 50% overlap, 

vector validation is allowed, but no smoothing after the last correlation. 

Only the circle in the middle must be masked, not the shadows. 

Then we can compare the vorticity maps (color bar scale of uncalibrated data -0.3 1/frame until +0.3 1/frame, 

color map preferably "parula", but "jet" is also ok). That might give an idea about the "quality"...?

```