概览
描述
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.
Product Overview
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.
Features
- Providing a collection of Yocto metalayers (meta-renesas-ai)
- For support frameworks are ArmNN, ONNX, Runtime and TensorFlow Lite
- Easily create an RZ/G series environment by building with VLP or BSP. VLP
Functions
- Yocto metalayers (meta-renesas-ai)
- Support framework: ArmNN(v22.02), ONNX Runtime(v1.8.0), TensorFlow Lite(v2.5.3)
- Sample benchmark application for evaluation
Target Reference Boards
- RZ/G2 Group
- HopeRun Technology HiHope RZ/G2H platform (hihope-rzg2h) Rev 4.0
- HopeRun Technology HiHope RZ/G2M platform (hihope-rzg2m) Rev 4.0 (*1)
- HopeRun Technology HiHope RZ/G2N platform (hihope-rzg2n) Rev 4.0
- Silicon Linux RZ/G2E evaluation kit (ek874) Rev C
- Silicon Linux RZ/G2E evaluation kit (ek874) Rev E
- RZ/G2L Evaluation Board Kit PMIC version (*2):
- RZG2L SMARC Module Board v02
- RZ SMARC Series Carrier Board v04
- RZ/G2LC Evaluation Board Kit
- (*1) There are 2 versions of RZ/G2M LSI devices. There are version 3.0 and 1.3 (hereinafter referred to as “RZ/G2M v3.0” and “RZ/G2M v1.3”).
(*2) “RZ/G2L Evaluation Board Kit” and “RZG2L Evaluation Board Kit PMIC version” includes the RZG2L SMARC Module Board and the RZ SMARC Series Carrier Board.
History
Dec. 29, 2021: New release
Jan. 15, 2023: v5.0.0
Download
Please check the Release Notes below and download the required files.
If you don’t need detailed explanation, please use GitHub.
Support Policy
As a general rule, Renesas does not provide support for this Package.
Blog
Embedded Artificial Intelligence Inference with Renesas RZ/G2
目标设备
设计和开发
相关评估板和套件
RZ/G2L MPU 评估板套件
该评估板套件适用于评估 RZ/G2L。 RZ/G2L 评估板套件由模块板(SOM)和扩展板组成。 模块板符合 SMARC v2.1 标准。
- 目录
- RZ/G2L 模块板(SMARC2.1)
- 公共载板(用于 RZ/G2L、RZ/G2LC、RZ/G2UL 和 RZ/V2L)
- USB 电缆(USB Type-A- Micro USB Type-B)
*请自行准备以下设备:
- 65W USB Type-C 充电器
- USB PD 接口
- 输出:5V3A、9V3A、15V3A、20V3.25A
- USB Type-C 转 Type-C 电缆
- 支持 USB-C 和 USB-C 3.1 Gen2 USB-PD 100W
- 微型标清...
视频和培训
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.
00:00 Opening
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
03:10 Closing
Related resources: