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An example project that demonstrates how to create face detection and person detection GStreamer plugins using the Xilinx Vitis-AI-Library.
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Machine learning example for the ZCU104 with FMC Quad-Camera module from Avnet
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Nguyen, Harry / aibox-facerec
Apache License 2.0Modification of XLX aibox-reid app into face recognition
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This article is a complete flow to create a Linux image using Yocto 2021.1.
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Scripted build examples for generating custom ZCU106 Vitis Platforms with Overlay Support, including DPU, SOFTMAX, VVAS HLS Accelerators, etc...)
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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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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
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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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ZCU104 DPU Example Designs for the Vivado Flow.
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