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Developed with Vivado 2022.1, these behavioral simulations show how to use the Video Test Pattern Generator and highlight how to control the test pattern generation framerate using a Video Timing Controller and Video In to AXI Stream conversion IP. The simulation simulations a QQVGA (160x120) resolution frame size, showing 4 frames generated as fast as the TPG can generate them at 25MHz bus clock, then shows 4 frames generated with 60fps refresh rate timine (1.944MHz Pixel Clock).

Developed with Vivado 2022.1, these behavioral simulations show how to recover native video timing from an AXI4 Video Stream and how to convert natively timed video to AXI4 Streams using catalog IP blocks including the Video Tiiming Controller, AXI4 Stream to Video Out and Video In to AXI4 Stream IP. AXI4 Stream input video is simulated using a Video Test Pattern Generator and the AXI4 Video Stream Remapper IP to show how to convert from 2 pixels per clock to 1 pixel per clock.

Yocto meta-layer for MaaXBoard/Mini/Nano

This lab descripts the process of running OpenAMP on the Zynq and Zynq Ultrascale+ MPSoC utilizing APUs and RPUs.

Scripted build examples for generating custom ZCU106 Vitis Platforms with Overlay Support, including DPU, SOFTMAX, VVAS HLS Accelerators, etc...)

This lab will document the process for running an application on the secondary real-time r5 processor (RPU1) using split mode.

Modification of XLX aibox-reid app into face recognition

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

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.

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

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

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.