Novel software accelerates PIV calculations for real-time velocity and vorticity in imaging, indicating enhanced processing efficiency.
We present a novel architecture for accelerating PIV calculations. An optical flow hardware accelerator does the brunt of the work, with cross-correlation only providing quick corrections. The result is RapidPIV: a free-to-download software program for real-time particle image velocimetry (PIV) for Linux and Windows computers with an Nvidia Turing-gen (or newer) GPU{RapidPIV download at {https://rapidpiv.caltech.edu}{https://rapidpiv.caltech.edu}}. Dense vector and vorticity fields can be displayed in real time when connected to compatible camera. Processing pre-existing PIV image files is also supported. We achieve 1,150 frames-per-second on 1 megapixel images, which is almost 700 times faster than trusted multi-grid software on the same desktop. Accuracy, precision, and robustness are tested with synthetic particle image experiments, and physical experiments involving an accelerated flat plate and a cylinder wake. RapidPIV's accuracy, precision and ability to handle high displacement, velocity gradients, and low seeding density compare favorably with the trusted multi-grid correlation software, agreeing within the noise floor almost everywhere in experiments and performing mostly within a factor of 3 in sub-pixel bias and precision in synthetic tests. For low to moderate loss of particle pairs, or low to moderate noise, synthetic tests show RapidPIV behaves similarly to the multi-grid software even though the multi-grid technique is better suited at high pair losses or noise levels.
No takes yet. Share an insight, caveat, or question.
Bollt et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: