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Pynq DPU with VART for Face recognition and tracking

Python based, face detection and tracking example application using VART API

Prepare the Ultra96v2

Install Pynq on the Ultra96v2

  1. Get the pre-built SD image : ultra96v2-pynq-image-v2.5
  2. Flash a SD Card with the collect image. (tested with BalenaEtcher)

Install Pynq Dpu

The following come from https://github.com/Xilinx/DPU-PYNQ

Upgrade Board

This upgrade step is to make sure users have a DPU-ready image. This step is only required for one time.

On your board, run su to use super user. Then run the following commands:

git clone --recursive --shallow-submodules https://github.com/Xilinx/DPU-PYNQ.git
cd DPU-PYNQ/upgrade
make

The upgrade process may take up to 1 hour, since a few packages will need to be installed. Please be patient. For more information, users can check the PYNQ v2.5 upgrade instructions

Install

Run the following on board:

pip3 install pynq-dpu

Install additional required packages:

pip3 install centroid-tracker
pip3 install screeninfo

Use

TBD

References

https://github.com/Avnet/Ultra96-PYNQ https://github.com/Xilinx/DPU-PYNQ

face-pynq-dpu-u96v2's People

Contributors

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