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The example design can be used as a reference of how to properly instantiate the Video TPG in a block design and configure a Linux build to generate (and display) test patterns using GStreamer. Four test pattern generator configurations are provided:

(1) Free Running mode (2) Free Running mode with Colorspace Conversion and Scaling using the Video Processing Subsystem IP (3) Rate Controlled mode (4) Rate Controlled mode with Colorspace Conversion and Scaling using the Video Processing Subsystem IP

Example showing how to build the platform and demo for the zcu104_vcu_ml reference design/demo

Machine learning example for the ZCU104 with FMC Quad-Camera module from Avnet

ZCU104 DPU Example Designs for the Vivado Flow.

This project is a meta-user repo to demonstrate how you can add a custom layer to modify Xilinx Yocto Manifest repos without touching the actual repos themselves.

This lab will focus on applying U-Boot modifications to a 2021.1 Xilinx Yocto image created with the Xilinx Yocto Manifest.

This lab will focus on applying Linux modifications to a 2021.1 Xilinx Yocto image created with the Xilinx Yocto Manifest.

This lab will focus on applying device tree modifications to a 2021.1 Xilinx Yocto image created with the Xilinx Yocto Manifest.

This lab demos the process of adding applications to a Xilinx Yocto Image.

This lab describes the process for customizing the Xilinx Yocto Manifest to pull the users image modifications from their personal repo.

This article is a complete flow to create a Linux image using Yocto 2021.1.

Jason's collection of custom Vitis Platform recipes. NOTE: The platforms in this repository are for training, debug and integration. WARNING: Makefile stages have been broken up into shell scripts on the back end and MAKE dependencies have been removed. If a MAKE stage fails the build will continue, so be sure to check the console log for errors when using projects from this repository.

Learn how to get started working with the YoloV3 model with Darknet53 backbone from the Model Zoo in Vitis AI 3.5, including retraining the model with the COCO 2017 training dataset.