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Increasing FPS for single board computers and embedded computers in 2021 (arxiv.org)
1 point by ildaron_ron on Jul 27, 2021 | hide | past | pdf | 1 comment on HN

In plain words: A survey of tricks for raising video frame rates on cheap single-board computers, covering both graphics-chip speedups and options for boards without one. The tricks were then tested on a small object-detection model running on a Jetson Nano, with frame rates listed in a table.

Abstract · Increasing FPS for single board computers and embedded computers in 2021 (Jetson nano and YOVOv4-tiny). Practice and review

This manuscript provides a review of methods for increasing the frame per second of single-board computers. The main emphasis is on the Jetson family of single-board computers from Nvidia Company, due to the possibility of using a graphical interface for calculations. But taking into account the popular low-cost segment of single-board computers as RaspberryPI family, BananaPI, OrangePI, etc., we also provided an overview of methods for increasing the frame per second without using a Graphics Processing Unit. We considered frameworks, software development kit, and various libraries that can be used in the process of increasing the frame per second in single-board computers. Finally, we tested the presented methods for the YOLOv4-tiny model with a custom dataset on the Jetson nano and presented the results in the table.

R. Ildar
arXiv:2107.12148 · cs.DC · submitted Jul 19, 2021
abstract · pdf

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This manuscript provides a review of methods for increasing the frame per second of single-board computers. The main emphasis is on the Jetson family of single-board computers from Nvidia Company, due to the possibility of using a graphical interface for calculations. But taking into account the popular low-cost segment of single-board computers as RaspberryPI family, BananaPI, OrangePI, etc., we also provided an overview of methods for increasing the frame per second without using a Graphics Processing Unit. We considered frameworks, software development kit, and various libraries that can be used in the process of increasing the frame per second in single-board computers. Finally, we tested the presented methods for the YOLOv4-tiny model with a custom dataset on the Jetson nano and presented the results in the table