SynthPix: A lightspeed PIV images generator

2025/12/10 by Terpin, Antonio, Bonomi, Alan, Banelli, Francesco +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2512.09664

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 supports the same configuration parameters as existing tools but achieves a throughput several orders of magnitude higher in image-pair generation per second. SynthPix was developed to enable the training of data-hungry reinforcement learning methods for flow estimation and for reducing the iteration times during the development of fast flow estimation methods used in recent active fluids control studies with real-time PIV feedback. We believe SynthPix to be useful for the fluid dynamics community, and in this paper we describe the main ideas behind this software package.

Citations

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Cited by

• Flow Gym: A framework for the development, benchmarking, training, and deployment of flow-field quantification methods
• Using reinforcement learning to probe the role of feedback in skill acquisition

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