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


ABSTRACT: 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: sepia (file IO), tarsier (algorithms), and chameleon (display). Our benchmarks show that algorithms implemented with tarsier 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 observer pattern 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 DVS, the DAVIS, the Opal Kelly ATIS, and the CCam ATIS.

SUBMITTER: Marcireau A 

PROVIDER: S-EPMC6960268 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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

Marcireau Alexandre A   Ieng Sio-Hoi SH   Benosman Ryad R  

Frontiers in neuroscience 20200108


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: <i>sepia</i> (file IO), <i>tarsier</i> (algorithms), and <i>chameleon</i> (display). Our benchmarks show that algorithms implemented with <i>tarsier</i> are faster and have a lower latency than identical implementations in other state-of-the-art frameworks, thanks to static polymorphism (compile-time pip  ...[more]

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