This graphical user interface provides an efficient workflow for evaluating and postprocessing particle image velocimetry (PIV) images. OpenPivGui relies on the Python libraries provided by the OpenPIV project.
Please note: Depending on your local system replace pip3
by pip
or python3
by python'
.
You may use Pip to install OpenPivGui
:
pip3 install openpivgui
Alternatively, Conda may also work:
conda install -c conda-forge openpivgui
np.int
consider this installation workaround:conda create -n openpivgui python=3.12
conda activate openpivgui
pip install git+https://github.com/alexlib/openpiv-python-0.23.8
pip install git+https://github.com/openpiv/openpiv_tk_gui --upgrade
python -m openpivgui.OpenPivGui
Launch OpenPivGui
by executing:
python3 -m openpivgui.OpenPivGui
Learn how to use and extend OpenPivGui watching a less than eight minute video tutorial.
Find the detailed documentation on readthedocs.io.
Contributions are very welcome! Please follow the step by step guide in the documentation.
Also check out JPIV.