| 李子聪,曾宇航,熊晓明.基于SoC的卷积神经网络系统设计[J].电子测量技术,2019,42(10):126-131 |
| 基于SoC的卷积神经网络系统设计 |
| Design of convolutional neural network system based on SoC |
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| DOI： |
| 中文关键词: SoC 卷积神经网络 并行化 软硬件协同设计 |
| 英文关键词:SoC convolutional neural network deserialize hardware software co-designed |
| 基金项目:广东省科技项目（2017B090909004）资助 |
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| Author | Institution |
| Li Zicong | School of Automation, Guangdong University of Technology, Guangzhou 510006, China |
| Zeng Yuhang | School of Automation, Guangdong University of Technology, Guangzhou 510006, China; Chipeye Microelectronics foshan Ltd., Foshan 528200, China |
| Xiong Xiaoming | School of Automation, Guangdong University of Technology, Guangzhou 510006, China |
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| 中文摘要: |
| 近些年，卷积神经网络（CNN）出色地完成了许多机器视觉任务。但现有的软件实施方案无法很好地在便携式设备中实现，为此设计一种基于Xilinx 全可编程SoC的CNN系统，在固定资源的SoC平台下，只需较少资源即可实现快速的检测系统。系统实现多级流水线和输入数据复用的方法提高计算效率。系统硬件部分实现CNN计算，软件实现图片预处理及图片检测后处理，从而提高运行效率，系统可实现多种卷核的卷积操作，平均值池化，非极大值抑制抑制算法，实现图片中多人脸的准确定位。实验结果表明，在100 MHz的工作频率下，系统的平均计算速率为0.19 Gops/s，功耗仅为通用CPU的4.07%。 |
| 英文摘要: |
| In recent years, convolutional neural networks have done a great job in many machine vision tasks. However, existing software implementations are not well implemented in portable devices. A convolutional neural network system based on Xilinx all-programmable SoC is designed to accelerate the convolutional operation in parallel, which only need few design resource and implement fast detection system. The system uses multi-stage pipeline technology and input data reuse to improve calculation efficiency. The hardware part completes convolutional network calculation, and the software part finish the image preprocessing and post-image detection preprocessing, thereby improving operation efficiency. The system can implements the convolution operation with different size, mean pooling operation and the non-maximum suppression algorithm, which achieves accurate positioning of multiple faces in the picture. The experimental results show that the average calculation rate of the system is 0.19 Gops/s at the operating frequency of 100 MHz，and the power consumption is only 4.07% of the general purpose CPU. |
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