Sepia, Tarsier, and Chameleon: A Modular C++ Framework for Event-Based Computer Vision.

Front Neurosci

INSERM UMRI S 968, Sorbonne Universites, UPMC Univ Paris 06, UMR S 968, CNRS, UMR 7210, Institut de la Vision, Paris, France.

Published: January 2020

This paper introduces an new open-source, header-only and modular C++ framework to facilitate the implementation of event-driven algorithms. The framework relies on three independent components: (file IO), (algorithms), and (display). Our benchmarks show that algorithms implemented with are faster and have a lower latency than identical implementations in other state-of-the-art frameworks, thanks to static polymorphism (compile-time pipeline assembly). The used throughout the framework encourages implementations that better reflect the event-driven nature of the algorithms and the way they process events, easing future translation to neuromorphic hardware. The framework integrates drivers to communicate with the , the , the , and the .

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960268PMC
http://dx.doi.org/10.3389/fnins.2019.01338DOI Listing

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