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Blog Bring your AI projects to the Edge with Xilinx Vitis-AI and win $500 !
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Engagement
  • Author Author: albertabeef
  • Date Created: 17 Mar 2021 3:21 PM Date Created
  • Views 824 views
  • Likes 5 likes
  • Comments 0 comments
  • ultra96-v2
  • ultrazed-ev
  • ultrazed-ev starter kit
  • Face Detection
  • ai at the edge
  • artificial interlligence
  • edge ai
  • pose
  • ultrazed-eg
  • license plate recognition
  • vitis platform
  • designed by avnet
  • machine learning
  • vitis-ai
  • ultrazed-eg-iocc
  • fpga machine learning
  • face
  • vitis
Related
Recommended

Bring your AI projects to the Edge with Xilinx Vitis-AI and win $500 !

albertabeef
albertabeef
17 Mar 2021

Interested in implemented AI at the edge with the Avnet platforms ?

 

Check out my new designs for Vitis-AI 1.3, the latest edge AI solution for Xilinx based platforms.

 

Vitis-AI 1.3 flow for Avnet Vitis platforms

image

This project provides detailed instructions for targeting the Xilinx Vitis-AI 1.3 flow to the following Avnet Vitis 2020.2 platforms:

  • Ultra96-V2 Development Board
  • UltraZed-EV SOM (7EV) + FMC Carrier Card
  • UltraZed-EG SOM (3EG) + IO Carrier Card

 

 

Vitis-AI 1.3 includes a Model Zoo with over 90 pre-built models, ready for deployment

The model zoo contains various types of models such as:

  • classification
  • detection
  • segmentation

which target a variety of applications

  • face applications
  • pose estimation
  • automotive (ADAS/AD)
  • medical
  • surveillance
  • etc…

 

 

Check out these projects which describe how to leverage these pre-built models to build cool applications

 

Head Pose Estimation on Ultra96-V2

image

 

License Plate Recognition with Vitis-AI

image

 

 

Vitis-AI 1.3 supports many industry standard framewroks, allowing the deployment of custom models to the edge.

  • Caffe
  • PyTorch
  • TensorFlow & TensorFlow 2
  • TVM

 

Check out these projects which describes how to use TensorFlow framework to train and deploy a custom deep neural network to the Ultra96-V2 development board

 

The Dobble Challenge

 

Training the Dobble Challenge

 

Deploying the Dobble Challenge on the Ultra96-V2

image

Kudos to zebular13 and kevinkeryk  for their collaboration on these dobble projects image

 

 

Do you have a project that you want to share ?

Publish your project on hackster.io, and enroll in Xilinx's Big Xcellent Adventure.

 

Every month, the Xilinx team will be browsing the Hackster community for impressive projects showcasing their technology.  Winners will receive $500 and get their project featured on developer.xilinx.com !

 

 

Regards,

 

Mario Bergeron.

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