OpenPIV

PyPI

OpenPIV consists in a Python and Cython modules for scripting and executing the analysis of a set of PIV image pairs. In addition, a Qt and Tk graphical user interfaces are in development, to ease the use for those users who don't have python skills.

Warning

The OpenPIV python version is still in its beta state. This means that it still might have some bugs and the API may change. However, testing and contributing is very welcome, especially if you can contribute with new algorithms and features.

Test it without installation

Click the link - thanks to BinderHub, Jupyter and Conda you can now get it in your browser with zero installation:

Installing

Use PyPI: https://pypi.python.org/pypi/OpenPIV:

pip install openpiv

Or `conda`

conda install -c alexlib openpiv

Or Poetry

poetry add openpiv

To build from source

Download the package from the Github: https://github.com/OpenPIV/openpiv-python/archive/master.zip or clone using git

git clone https://github.com/OpenPIV/openpiv-python.git

Using distutils create a local (in the same directory) compilation of the Cython files:

python setup.py build_ext --inplace

Or for the global installation, use:

python setup.py install

Documentation

The OpenPIV documentation is available on the project web page at http://openpiv.readthedocs.org

Demo notebooks

These and many additional examples are in another repository: OpenPIV-Python-Examples

Contributors

Copyright statement: smoothn.py is a Python version of smoothn.m originally created by D. Garcia [https://de.mathworks.com/matlabcentral/fileexchange/25634-smoothn], written by Prof. Lewis and available on Github [https://github.com/profLewis/geogg122/blob/master/Chapter5_Interpolation/python/smoothn.py]. We include a version of it in the openpiv folder for convenience and preservation. We are thankful to the original authors for releasing their work as an open source. OpenPIV license does not relate to this code. Please communicate with the authors regarding their license.

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