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
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.
If you want to build your own PIV system, it’s possible now:
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.
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.
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.