Updated: Jan. 15, 2023
Renesas Electronics Corporation
It provides e-AI(embedded artificial intelligence) that infers and executes many of the open source AI frameworks at endpoints using RZ/G2.
Customers can use a collection of Yocto metalayers that allow native inference execution on the RZ/G Series reference platform.
Customer can also quickly evaluate the RZ/G2 series using an image-based sample benchmarking application for product recognition in shopping basket.
The RZ/G series AI BSP incorporates the well-known FOSS (Free and Open Source Software) AI frameworks ArmNN, ONNX Runtime, and TensorFlow Lite into VLP. Customer can perform inference using the results learned on the RZ/G2 platform.
AI BSP Package also includes a sample benchmarking application for each framework that tests the execution performance of some well-known pre-trained image classification models.
Customers can immediately use Linux with AI inference on RZ/G2 boards.
Customer can also try a demo for evaluating RZ/G2 products. Customer can immediately evaluate your RZ/G2 product in the demo.
Dec. 29, 2021: New release
Jan. 15, 2023: v5.0.0
Please check the Release Notes below and download the required files.
If you don’t need detailed explanation, please use GitHub.
As a general rule, Renesas does not provide support for this Package.
Embedded Artificial Intelligence Inference with Renesas RZ/G2
This evaluation board kit is ideal for evaluating RZ/G2L. The RZ/G2L Evaluation Board Kit consists of a module board (SOM) and a carrier board. The carrier board can be...
This video introduces the AI BSP of the RZ/G series.
Edge-AI can be easily realized with Renesas RZ/G MPU by using OSS-based AI BSP.
00:10 The Features of RZ/G AI BSP
00:40 RZ/G2 AI Edge AI DEMO
01:00 Pose Estimation
01:50 Face Detection and IRIS Detection