PIVUQ: PIV Uncertainty Quantification
Description
This package contains python implementations of uncertainty quantification (UQ) for Particle Image Velocimetry (PIV). 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.
List of approachs:
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
Development mode
Initialize conda environment
conda env create -f environment.yml
Install packages using poetry:
poetry install
How to cite
Work in progress version: https://doi.org/10.5281/zenodo.6458153
In future, please cite the following paper:
Manickathan et al. (2022). PIVUQ: Uncertainty Quantification Toolkit for Quantitative Flow Visualization. in prep.
1 maintainer
Metadata
1 maintainer
Release files for pivuq 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pivuq-0.4.1.tar.gz | 10.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pivuq-0.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.0 kB
Release files / pivuq-0.4.1.tar.gz
| Download URL | pivuq-0.4.1.tar.gz |
|---|---|
| Size | 10.0 kB |
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Release files / pivuq-0.4.1-py3-none-any.whl
| Download URL | pivuq-0.4.1-py3-none-any.whl |
|---|---|
| Size | 11.0 kB |
| Tags | Python 3 |
|
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