New release of PyPIV (upgrade to Python 2.4)

As Python has been updated for 2.4, Scipy to 0.5.0 and Numpy moves towards 1.0 release, we follow it closely and update the PyPIV (that works with Python 2.3, Scipy 0.3) to PyPIV.2.4.py. Download link.
We thank our new developer, Dwishen Ramanah for the update.
Use the Sourceforge.net to download a new version. It’s highly recommended to use binary release of Enthought for Python 2.4 with Scipy/Numpy to sovle all the headache of the installations. Our Linux/Unix/Mac users should follow the installation instructions on the Scipy website.

A new release is on SOURCEFORGE.NET

Dear URAPIV users, we’re glad to announce a new, updated version of URAPIV with graphical user interface (GUI), reading TIFF images from the high-speed cameras (high frame rate PIV applications oriented). The main update is a new GUI for image selection and a new parameter (which is very useful for this type of applications) - JUMP. Yes, it is a jump in terms of \Delta t between the images. The user may process every pair of the files (1 with 2, 2 with 3, …) or of pairs at every possible time separation (e.g., 1 with 5, 2 with 6 means jump = 5). Please, go to Sourceforge.net and download the most recent version.

Developed and tested on Windows XP with Matlab 7SP3 (R14SP3). Not tested on R2006a. We work on the tutorial (click the thumbnail below to see the full-size snapshot). Thanks for your patience.

The quest for the users

This is a quest for URAPIV users:

If one takes an air jet image like the following one (but twice) and apply URAPIV (with a click of a mouse)

then the result is:

 

True or not?

(hint: colors and view of the arrows in the vector field)

Some old publication that mentioned URAPIV

I just found some old publication that people from soil mechanics wrote about their way of using URAPIV [link to PDF file]