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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).
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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.
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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.
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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.
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This article is a complete flow to create a Linux image using Yocto 2021.1.
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This lab describes the process for customizing the Xilinx Yocto Manifest to pull the users image modifications from their personal repo.
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This lab demos the process of adding applications to a Xilinx Yocto Image.
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This lab will focus on applying device tree modifications to a 2021.1 Xilinx Yocto image created with the Xilinx Yocto Manifest.
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This lab will focus on applying Linux modifications to a 2021.1 Xilinx Yocto image created with the Xilinx Yocto Manifest.
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This lab will focus on applying U-Boot modifications to a 2021.1 Xilinx Yocto image created with the Xilinx Yocto Manifest.
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Yocto / Yocto Meta User Demo
MIT LicenseThis 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.
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ZCU104 DPU Example Designs for the Vivado Flow.
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Machine learning example for the ZCU104 with FMC Quad-Camera module from Avnet
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Example showing how to build the platform and demo for the zcu104_vcu_ml reference design/demo
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