Vrbaski, V.; Josic, S.; Vranjkovic, V.; Teodorovic, P.; Struharik, R. Puppis: Hardware Accelerator of Single-Shot Multibox Detectors for Edge-Based Applications. Electronics2023, 12, 4557.
Vrbaski, V.; Josic, S.; Vranjkovic, V.; Teodorovic, P.; Struharik, R. Puppis: Hardware Accelerator of Single-Shot Multibox Detectors for Edge-Based Applications. Electronics 2023, 12, 4557.
Vrbaski, V.; Josic, S.; Vranjkovic, V.; Teodorovic, P.; Struharik, R. Puppis: Hardware Accelerator of Single-Shot Multibox Detectors for Edge-Based Applications. Electronics2023, 12, 4557.
Vrbaski, V.; Josic, S.; Vranjkovic, V.; Teodorovic, P.; Struharik, R. Puppis: Hardware Accelerator of Single-Shot Multibox Detectors for Edge-Based Applications. Electronics 2023, 12, 4557.
Abstract
Object detection is a popular image processing technique, widely used in numerous applications for detecting and locating objects in images or videos. While being one of the fastest algorithms for object detection, Single-Shot Multibox Detection (SSD) networks are also computationally very demanding, which limits their usage in real-time edge applications. Even though the SSD post-processing algorithm is not the most complex segment of the overall SSD object detection network, it is still computationally demanding and can become a bottleneck with respect to processing latency and power consumption, especially in edge applications with limited resources. When using hardware accelerators to accelerate backbone CNN processing, the SSD post-processing step implemented in software can become critical for high-end applications where high frame rates are required, as this paper shows. To overcome this problem, we propose Puppis, an architecture for hardware acceleration of SSD post-processing algorithm. As experiments will show, our solution will lead to an average SSD post-processing speedup of 34.42 when compared with a software implementation. Furthermore, execution of a complete SSD network will be on average 45.39 times faster than software implementation when the proposed Puppis SSD hardware accelerator is used together with some existing CNN accelerators.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
