Quick answer
Use Python, Zynq and OpenCV to Implement Computer Vision is an open source FPGA project from Hackster.io, indexed by ZouIC. Use Python, OpenCV libraries and the PYNQ frame to implement the computer vision on Arty Z7-20 Xilinx Zynq SoC platform.
- Source
- Hackster.io
- Focus
- FPGA
- Author
- Adam Taylor
- Published
- 2018-04-11
Common questions
What does Use Python, Zynq and OpenCV to Implement Computer Vision do?
Use Python, OpenCV libraries and the PYNQ frame to implement the computer vision on Arty Z7-20 Xilinx Zynq SoC platform.
Where does Use Python, Zynq and OpenCV to Implement Computer Vision come from?
ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/alexwong/use-python-zynq-and-opencv-to-implement-computer-vision-361e1b.
What stack does Use Python, Zynq and OpenCV to Implement Computer Vision use?
tags AMD Xilinx, protip, advanced.
When was Use Python, Zynq and OpenCV to Implement Computer Vision published?
The source page lists 2018-04-11.
Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.
Use Python, Zynq and OpenCV to Implement Computer Vision
Published 2018-04-11
Use Python, OpenCV libraries and the PYNQ frame to implement the computer vision on Arty Z7-20 Xilinx Zynq SoC platform.
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This content is sourced from Hackster.io Platform，All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.