Zcu104 vitis. <p>I'm doing a object detection design on the ZCU104 board which includes using Vitis AI. 文章浏览阅读7. Jan 1, 2025 · ZCU104 Reference Design # Starting from Vitis AI 5. Vitis-AI applications will install additional software packages. com/html_docs/xilinx2020_1/vitis_doc/dvy1591145410207. If user would like to run Vitis-AI applications, please use EXT4 rootfs. 1 release, Vitis AI tool with NPU IP and software stack is supported for ZU+ 7EV devices, and the reference design is provided for ZCU104 target board. It will be capable to run Vitis acceleration applications including Vitis-AI applications. May 5, 2025 · This document describes how to create a custom Vitis embedded platform for the ZCU104 development board specifically tailored for Edge AI applications. Of course, general embedded software application can also run on this platform. This example system total structure is like below for your reference. The nice point about this "Hello World" is we run small logic in PL as well we run the application on PS and we show that both parts are alive. In this module, we will create a custom Vitis embedded platform for ZCU104. By Ali Falahati. 1 + Vitis AI 1. 7k次，点赞2次，收藏18次。Vitis+ZCU104案例教程参考：https://www. I need to make a custom platform that includes some PL logic that does some work on the data stream before it is served as an input to AI model (DPU). html 文章浏览阅读1. 2 + Vitis AI 1. The platform supports both Vitis acceleration ap Dec 11, 2025 · Use the AMD Vivado™ tools to create the hardware design for the ZCU104 AMD Vitis™ acceleration platform. Vitis runtime is also installed by default, but you can also update it or install it manualy if needed. xilinx. If in any case initramfs would be used, please add all Vitis-AI dependencies to initramfs. Objective In this video, we'll cover following objectives: 1. Introduction Today we'll be walking through the entire process of creating a design for the ZCU104, from initial setup in Vivado to running a "Hello World" application in Vitis. Dec 9, 2024 · Vitis-Ai libraries are already installed on the system along with the demo board image. 4w次，点赞61次，收藏152次。本文分享了使用Vitis-AI进行Pytorch框架下的Yolo模型量化及编译的实践经验，详细介绍了解决量化脚本安装错误、编写量化脚本、模型编译中遇到的多子图问题等关键步骤。 This guide walks you through the hardware design of the DPU IP using Vivado 2021. . 4 In this module, we will create a custom Vitis embedded platform for ZCU104. Since ZCU104 is a validated Xilinx Evaluation Board Pull Vitis AI Docker In order to simplify this quickstart tutorial, we will utilize the Vitis-AI PyTorch CPU Docker to assess pre-built Vitis-AI examples, and subsequently perform quantization and compilation of our own model. This project describes how to create a custom Vitis platform for ZCU104 and run the SR app from Vitis-AI prebuilt model zoo on the platform. 1, Petalinux 2021. 4 installation and setup, and running a neural network model on FPGA for handwritten digit recognition. Add the dpu_ip <p>I'm doing a object detection design on the ZCU104 board which includes using Vitis AI. Let PetaLinux generate EXT4 rootfs Run petalinux-config Go to Image Packaging Configuration Enter into Root File Vitis In-Depth Tutorials. Start from a ZCU104 preset design, add platform required peripherals, and configure them. After everything is set, export the hardware design to XSA. •Using Xilinx Design Tools such as Vivado、Vitis and Vitis HLS to do image processing design on Linux or Windows and processing on ZCU104. Contribute to Xilinx/Vitis-Tutorials development by creating an account on GitHub. 1 installation and setup, Vitis AI 1. Creating a Vivado, Vitis, Vitis Embedded Platform, PetaLinux, Device models Contribute to mukeshnarayana24/zcu104-vitis-ai-dpu-digit-recognition development by creating an account on GitHub. Create a new project using the ZCU104 board. Vitis Custom Embedded Platform Creation Example on ZCU104 Version: Vitis 2021. Learn about building and customizing the First Stage Bootloader (FSBL) for Zynq UltraScale+ MPSoC, including features, options, and common FAQs. onbl5, yjuu, vmpj, sysdf, sopdj, lvdikx, maf67p, 0sbtba, iv9ds, fphnao,