SynthPix: A lightspeed PIV image generator

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Authors: Antonio Terpin, Alan Bonomi, Francesco Banelli, Raffaello D’Andrea
Cited by: 0
References: 49

Abstract

We describe SynthPix, a synthetic image generator for Particle Image Velocimetry (PIV) with a focus on performance and parallelism on accelerators, implemented in JAX. SynthPix produces PIV image pairs from prescribed flow fields while exposing a configuration interface aligned with common PIV imaging and acquisition parameters (e.g., seeding density, particle image size, illumination nonuniformity, noise, blur, and timing). In contrast to offline dataset generation workflows, SynthPix is built to stream images on-the-fly directly into learning and benchmarking pipelines, enabling data-hungry methods and closed-loop procedures—such as adaptive sampling and acquisition/parameter co-design—without prohibitive storage and input–output costs. We demonstrate that SynthPix is compatible with a broad range of application scenarios, including controlled laboratory experiments and riverine image velocimetry, and supports rapid sweeps over nuisance factors for systematic robustness evaluation. SynthPix is a tool that supports the flow quantification community and in this paper we describe the main ideas behind the software package.

Fields of Study & Subjects

Model Reduction and Neural Networks Fluid Dynamics and Turbulent Flows Biomimetic flight and propulsion mechanisms

Publication details

Journal / source
SoftwareX
Volume
34
Pages
102642–102642
Publication date
13 April 2026
Language
EN