Computation of Mobile Phone Collaborative Embedded Devices for Object Detection Task

Abstract

In the past decade, computer vision has developed rapidly, and its application scenarios are increasing. But in the process of its application, the limited embedded compute capability is still one of the most important reasons hindering its development. In contrast, with the continuous improvement of mobile computing capability in recent years, the reasoning of neural network models on mobile phones has become a closer and closer fact. The most of tasks of computer vision are continuous and fixed order of the calculation processes. According to the characteristic, we propose a method for collaborative embedded inference on mobile phones. This method divides computer vision tasks, moves part of the calculation to the mobile phone, and runs in a pipeline scheme to achieve the effect of accelerating inference. This method can realize the running acceleration of such tasks and reducing the computational burden of the embedded platform. Codes are available at https://github.com/yiyexy/pipeline.