现场演示:在gpu上计算基于峰值的卷积

J. Nageswaran, N. Dutt, Yingxue Wang, T. Delbrück
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引用次数: 1

摘要

这个演示展示了一个实时的基于峰值的卷积处理系统的第一个实现,该系统结合了基于峰值的动态视觉传感器(DVS)和并行图形处理器单元(GPU)的计算。将具有不同特征(形状和大小)的运动物体呈现给系统。在第一个演示中,系统实时响应以识别和跟踪一个用户指定的对象,而忽略其他对象。在第二种方法中,系统同时提取多个特征,并用不同的颜色标记输出。用户将享受实时响应,并了解如何使用基于尖峰的传感器与传统程序处理相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Live demonstration: Computing spike-based convolutions on GPUs
This demonstration shows the first implementation of a real-time spike-based convolution processing system which combines a spike based dynamic vision sensor (DVS) with parallel graphics processor unit (GPU) computation. Moving objects with different features (shape and size) are presented to the system. In the first demo, the system responses in real time to recognize and keep track of one user specified object and ignore the others. In the second one, the system concurrently extracts several features, and labels the outputs with different colors. Users will enjoy the real-time response and learn about using spike-based sensors combined with conventional procedural processing.
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