This directory containes instructions and examples for running DPU-v2 on Zynq Ultrascale+ MPSoC platforms. It can also be applied to Zynq-7000 platforms. DPU-v2 is is a configurable computation engine dedicated for convolutional neural networks. It includes a set of highly optimized instructions, and supports most convolutional neural networks, such as VGG, ResNet, GoogleNet, YOLO, SSD, MobileNet, FPN, and others. With Vitis-AI, Xilinx has integrated all the edge and cloud solutions under an unified API and toolset.

Learn More: DPU-v2 Overview

• Use Tool Docker

• Use Runtime Docker

Download the prebuilt board image from the following links and flash it to SD card using Etcher or Win32DiskImager.
For more information, pleaser refer to Vitis AI User Guide.

• ZCU102

• ZCU104

• Vitis AI User Guide
• Vitis AI Model Zoo