This repository is our 3rd place work in the 59th IEEE/ACM Design Automation Conference System Design Contest. A fully-pipelined FPGA accelerator for object detection CNN is designed in Vivado High-Level Synthesis. The design is deployed on an embedded FPGA, Ultra96-V2, and is evaluated according to its inference speed, energy consumption and prediction accuracy. In July 2022, the final result of the contest was announced at the 59th IEEE/ACM Design Automation Conference, San Francisco, USA.

• Haitong Huang, State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences
• Erjing Luo, School of Information and Electronics, Beijing Institute of Technology
• Cangyuan Li, Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences

• deploy: the deployment files on Ultra96-V2
• scripts: the scripts for generating HLS and Vivado project
• src: the accelerator design