An open-source Python library for Particle Image Velocimetry (PIV) and Particle Tracking Velocimetry (PTV) analysis in geophysical and engineering applications.
GeoPIV
- Python
- Computer Vision, Data Analytics, Ecology and Sustainability, Fluid Dynamics, Geotechnics
- Computational Fluid Dynamics (CFD), Environmental Engineering, Environmental Impact, Fluid Mechanics, Hydrologic Modeling, Water contamination
Features:
- Image pre-processing (filtering, masking), PIV algorithms (cross-correlation, optical flow), PTV algorithms, post-processing of velocity fields (filtering, validation, interpolation), uncertainty quantification, batch processing of image sequences, command-line interface.
Pricing:
- Free
- Tailored for geophysical PIV/PTV applications (e.g., rivers, glaciers, lab flumes), open-source, offers various PIV/PTV algorithms and robust post-processing, good documentation with examples.
- Niche application for velocimetry from images, might require specific image data formats or experimental setups, performance depends on image size and processing parameters.
Best for:
- Researchers and engineers analyzing image sequences to measure fluid or surface velocities in geophysical contexts, laboratory experiments, and environmental monitoring.