A library for PIV Uncertainty Quantification
Project description
PIV-UQ: PIV Uncertainty Quantification
Note: Primary aim is to implement UQ algorithms for PIV techniques. Future goals include possible extensions to other domains including but not limited to optical flow and BOS.
Description
This package contains python implementations of uncertainty quantification (UQ) for Particle Image Velocimetry (PIV). Implements:
pivuq.diparity.ilk: Iterative Lucas-Kanade based disparity estimation. [scikit-image]pivuq.disparity.sws: Python implementation of Sciacchitano, A., Wieneke, B., & Scarano, F. (2013). PIV uncertainty quantification by image matching. Measurement Science and Technology, 24 (4). https://doi.org/10.1088/0957-0233/24/4/045302. [piv.de]
Installation
Install using pip
pip install pivuq
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