Quick answer
ResNet-based hand pose recognition edge computing project is an open source machine vision project from Hackster.io, indexed by ZouIC. The project uses ResNet50 as the training network, using images of hands that have been labeled with key points as the training set.
- Source
- Hackster.io
- Focus
- machine vision
- Author
- AaronHuang
- Published
- 2022-04-01
Common questions
What does ResNet-based hand pose recognition edge computing project do?
The project uses ResNet50 as the training network, using images of hands that have been labeled with key points as the training set.
Where does ResNet-based hand pose recognition edge computing project come from?
ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/aaronhuang/resnet-based-hand-pose-recognition-edge-computing-project-64fc7f.
What stack does ResNet-based hand pose recognition edge computing project use?
tags AMD Xilinx, showcase, advanced.
When was ResNet-based hand pose recognition edge computing project published?
The source page lists 2022-04-01.
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.
ResNet-based hand pose recognition edge computing project
Published 2022-04-01
The project uses ResNet50 as the training network, using images of hands that have been labeled with key points as the training set.
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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.