RZ-G/RZ-G2 ai: Difference between revisions
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= 🧠 RZ/G Artificial Intelligence and Machine Learning = | = 🧠 RZ/G Artificial Intelligence and Machine Learning = | ||
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== RZ/G FOSS AI BSP == | |||
Renesas has created an "[https://github.com/renesas-rz/meta-renesas-ai AI BSP]" for the RZ/G family of SoCs and reference platforms. | |||
This "BSP" adds support for a number of popular machine learning frameworks allowing users to run AI inference natively on an embedded platform. | |||
Currently the following frameworks are supported: | |||
* ArmNN SDK | |||
* Caffe2 | |||
* ONNX Runtime | |||
* OpenCV | |||
* PyTorch | |||
* TensorFlow | |||
* TensorFlow Lite | |||
Support is added to the RZ/G BSP using Yocto/OpenEmbedded meta-layers. The source code can be found on GitHub: https://github.com/renesas-rz/meta-renesas-ai. | |||
Revision as of 20:36, 7 May 2021
🧠 RZ/G Artificial Intelligence and Machine Learning
← RZ-G
RZ/G FOSS AI BSP
Renesas has created an "AI BSP" for the RZ/G family of SoCs and reference platforms.
This "BSP" adds support for a number of popular machine learning frameworks allowing users to run AI inference natively on an embedded platform.
Currently the following frameworks are supported:
- ArmNN SDK
- Caffe2
- ONNX Runtime
- OpenCV
- PyTorch
- TensorFlow
- TensorFlow Lite
Support is added to the RZ/G BSP using Yocto/OpenEmbedded meta-layers. The source code can be found on GitHub: https://github.com/renesas-rz/meta-renesas-ai.