Before revision:  The Xilinx Zynq-7000 SoCs and Xilinx Zynq UltraScale+ MPSoCs are adopted to verify the proposed method, and the results show that the mean Average Precision (IoU=0.5) for 10 function blocks is as high as 97.72\% for YOLOv3 detector  .
After revision:  The Xilinx Zynq-7000 SoCs and Xilinx Zynq UltraScale+ MPSoCs are adopted to verify the proposed method, and the results show that the mean Average Precision (IoU=0.5) for 10 function blocks is as high as 97.72\% for YOLOv3 detector implemented on Xilinx Zynq-7000 SoCs and Zynq UltraScale+ MPSoCs .