YOLO on PYNQ-Z2
  • YOLO on PYNQ-Z2
  • Abstract
  • Organization
  • Introduction
  • Requirements
  • DPU implementation
    • Creating the DPU 3.0
    • Implementing the DPU on a SD card image
  • Model optimization and compilation
    • Convert model to Tensorflow
    • Quantization
    • Compilation
  • Deployment on PYNQ-Z2
    • Board Setup
    • Execute YOLOv3
    • Real-time object detector
  • Metrics
    • Metrics Context
    • Detections on the PYNQ-Z2
    • Metrics Software
  • Final results
  • Message
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Last updated 1 year ago

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This work was part of my Eletrotechnical and Computing Engineering graduation final project and it couldn't be done without the help of my professor advisor and my colleagues.

Huge thanks to , , , for their work which served as an inspiration and guideline to the project!

Thank you to the community for exploring all these topics and share the knowledge on forums across the internet.

Thank you very much for reading my documentation project!

I hope you enjoyed it and that it helped you in any way. If there is something you would like to point out about the project, being on the or gitbook page, feel free to share!

Don't forget to leave feedback on each page so I can improve the website. If you have any problem you can also on the github page.

Wu-Tianze
Jin-Chen
Rafael Padilla
github
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