https://www.wakari.io/sharing/bundle/openpiv/openpiv-python_tutorial_animated_gif

OpenPIV is now operating on cloud, thanks to Wakari

https://www.wakari.io/sharing/bundle/openpiv/openpiv-python_tutorial_animated_gif

If you don’t know what IPython is and what is NumPy, Scipy, Matplotlib and Cython, it’s really bad. It will change the way we work with our data, once we drop the “chains of Matlab” :). But if we speak seriously for a moment, I do think that this demo

https://www.wakari.io/sharing/bundle/openpiv/openpiv-python_tutorial_animated_gif

shows something new about OpenPIV:

You can basically run the whole thing from your tablet, smartphone, anything – no installations, no RAM, nothing:
1. set up your flow, e.g. go relax and see the stars
2. take the video using your mobile device, store it on your prefered cloud service
3. Open this notebook https://www.wakari.io/sharing/bundle/openpiv/openpiv-python_tutorial_animated_gif, get an account on wakari.io, change the name of the image file(s) to the one you just took and press Run – what a miracle, you have a velocity field estimated.

have you seen latest updates on Github? http://github.com/openpiv

We invest most of the time in the Python version http://www.openpiv.net/openpiv-python
and in our post-processing spatial and temporal analysis toolbox

Alex Liberzon

If you want to build your own PIV system, it’s possible now:
http://opensourcepiv.weebly.com/index.html

Alex Liberzon

we changed the website to run on Jekyll + Github, see http://www.openpiv.net. It’s also very easy to have a blog running within the website, so we’ll move most of our activity over there.

New tutorial for the Matlab version of OpenPIV

Please, take a look at our fresh new tutorial for the GUI version of OpenPIV, written in Matlab. Our new user and developer from TU Berlin is responsible for this great job.

Click to access Tutorial_OpenPIV.pdf

OpenPIV Matlab version was updated to work with the new GUIDE from Mathworks

the GUIDE (GUI editor from Mathworks) was updated and the old GUI version created few new errors. We’ve updated the version (see on Github.com) to the new GUIDE and upgraded the Matlab version. The main change is the SPEED – it’s a 1 second per pair on MacBook Pro with Matlab 64 bit.

Changes on the OpenPIV website and wiki

The OpenPIV website (www.openpiv.net) is now pointing to the openpiv.github.com – every one of the OpenPIV community is welcome to update the website by forking the openpiv.github.com repository, modifying and pull request.
Also the wiki is moving from sourceforge.net to github.com wiki
We are looking for more exciting users and developers to join us in this great adventure.

Amazing changes to OpenPIV projet

So many things happend to OpenPIV recently:

we moved the source code to github.com http://github.com/OpenPIV
Zach wrote a completely new, fresh and totally awesome C++ with a the new Nokia supported Qt SDK.
Alex introduced image pre-processing to the new Matlab version, Mac OS X bug is fixed as well.

Our users are kindly asked to cite the…

Our users are kindly asked to cite the following paper as the main source of information about OpenPIV software.

Taylor, Z.J.; Gurka, R.; Kopp, G.A.; Liberzon, A.; , “Long-Duration Time-Resolved PIV to Study Unsteady Aerodynamics,” Instrumentation and Measurement, IEEE Transactions on , vol.59, no.12, pp.3262-3269, Dec. 2010
doi: 10.1109/TIM.2010.2047149
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5464317&isnumber=5609237