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Adding new ML model in VVAS & running it on KV260 is an open source FPGA project from Hackster.io, indexed by ZouIC. This tutorial detail the steps for adding new ML model either from Vitis AI model zoo or custom model in VVAS and running it on KV260 board.

Source
Hackster.io
Focus
FPGA
Author
LogicTronix [FPGA Design + Machine Learning Company]
Published
2024-04-25

Common questions

What does Adding new ML model in VVAS & running it on KV260 do?

This tutorial detail the steps for adding new ML model either from Vitis AI model zoo or custom model in VVAS and running it on KV260 board.

Where does Adding new ML model in VVAS & running it on KV260 come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/LogicTronix/adding-new-ml-model-in-vvas-running-it-on-kv260-8dace2.

What stack does Adding new ML model in VVAS & running it on KV260 use?

tags AMD Xilinx, tutorial, intermediate.

When was Adding new ML model in VVAS & running it on KV260 published?

The source page lists 2024-04-25.

Adding new ML model in VVAS & running it on KV260
Hackster.io All from this source License per the original page fpga

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.

Adding new ML model in VVAS & running it on KV260

Published 2024-04-25

This tutorial detail the steps for adding new ML model either from Vitis AI model zoo or custom model in VVAS and running it on KV260 board.

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
intermediate
content type
tutorial

Related resources and purchase links

Statistics

respects
6
views
1059

Project Info

Source PlatformHackster.io
Categoryfpga
LicenseLicense per the original page
Views1059
Likes6
Discussions0

Author Info

LogicTronix [FPGA Design + Machine Learning Company]
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Citation Note

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.

License per the original page
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