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You can directly launch JPIV via Java Web Start by hitting the symbol below.
(last update of JPIV: August 15 2010)
You need to have a Java Runtime Environment (JRE) installed on your computer (For example the GPL licensed OpenJDK Java Runtime or Sun's free of charge JRE). You can also download the jar file jpiv.jar and execute it manually. In this case, you additionally have to ensure that the Java Advanced Imaging (JAI) package is installed. I recommend to use the Java Virtual Machine (JVM) arguments -Xms128M -Xmx1024M to ensure that there is enough memory available for image processing.
You may want to add some additional functionality, like scripts for batch processing, masking, synthetic image generation, joining and splitting images, directory processing, native libraries for reading LaVision IMX and IM7 image data, and offline documentation files. Click on the symbol below to download a zip-archive (7.7 MB), extract the files to your hard drive and tell JPIV where to find the unpacked directory, as explained in the documentation section. Restart JPIV to list the scripts of the jpivlib/jsc directory in the Scripts drop-down menu.
(last update of library: January 31 2010)
I would be pleased if you would download the source code and contribute to JPIV (2.9 MB):
(last update of source code: August 15 2010)
For proper compilation you additionally need the
NetCDF Java Library for reading synthetic image generation parameter files, the BeanShell Core Interpreter Classes for executing scripts and the Free HEP library for vector graphics export. The implemented versions of these libraries are already packed in the source code zip-file. If you use NetBeans for programming, you can directly compile and run the downloaded sources. The source code documentation will be a good companion guiding you through the code.
For testing JPIV, you might find the following images useful (0.5 MB):
To try the reconstruction of the third velocity component, please use the images below (3 MB). Reference vector fields for comparison are included, as well as a data sheet with the synthetic image generation properties.
Find more challenging test images at http://www.pivchallenge.org/.