RZ/V2H 四核 视觉 AI MPU 评测套件
RZ/V2H AI MPU 评测套件 (RTK0EF0168C04000BJ) 用于评测瑞萨电子 RZ/V2H 四核 视觉 AI MPU。 该套件包括 CPU 板和扩展(EXP)板。 支持 RZ/V2H 标准软件包,能轻松实现低功耗 AI 推理和视频流等软件开发任务。 此外,这款评测套件还支持图像信号处理器 (ISP)、3D 图形引擎...
RZ/V2H 高端 AI MPU 采用瑞萨电子专有的AI 加速器-动态可重配置处理器 (DRP-AI3)、四核 Arm® Cortex®-A55 (1.8GHz) Linux 处理器,以及双核 Cortex®-R8 (800MHz) 实时处理器。 此外,RZ/V2H 还包括另一个动态、可重配置处理器 (DRP)。 这款处理器可加速图像处理,如OpenCV,以及机器人应用所需的动态计算。 它还具有 PCIe®、USB 3.2 和千兆以太网等高速接口,是工厂自动化中自主机器人和机器视觉等应用(必须以低功耗实现的先进AI 处理)的理想微处理器。
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RZ/V2H AI Software Development Kit RZ/V2H AI Software Development Kit (AI SDK) is an AI application development environment for the RZ/V2H Evaluation Board Kit.
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Software Package | 瑞萨电子 |
RZ/V series AI Apps & AI SDK (GitHub) The AI SDK enables easy and rapid development of AI applications using Renesas' RZ/V series evaluation kits. Additionally, it offers a range of AI applications free of charge.
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Software Package | 瑞萨电子 |
DRP-AI Extension Pack (Pruning Tool) The DRP-AI Extension Pack provides a pruning function optimized for RZ/V2H and RZ/V2N, which can be used in combination with the training code written with the use of PyTorch or TensorFlow.
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Imaging | 瑞萨电子 |
DRP-AI Translator i8 [V1.04] This is an AI model conversion tool (DRP-AI Translator i8) for DRP-AI equipped products (INT8 architecture). This product is also used as an internal tool for DRP-AI TVM (required when installing DRP-AI TVM).
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Software Package | 瑞萨电子 |
DRP-AI TVM (GitHub) We provide an AI model conversion tool (DRP-AI TVM) for DRP-AI-equipped products. When using this product, please check the contents of the linked README.md first.
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Software Package | 瑞萨电子 |
RZ/V2H ROS2 Support Package The RZ/V2H ROS2 Support Package provides the ROS2 installation procedure on the RZ/V2H.
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Software Package | 瑞萨电子 |
RZ/V2H ROS2 Sample Application Package The RZ/V2H ROS2 Sample Application Package provides applications running on the RZ/V2H.
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Software Package | 瑞萨电子 |
RZ/V Multi-OS Package RZ/V Multi-OS Package is the software package consisting of RZ/V Flexible Software Package (FSP) as software package for Renesas MCU with Arm® Cortex-M, Cortex-R Core and OpenAMP as standardization API of framework for interprocessor communication for developing multi OS solution.
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Software Package | 瑞萨电子 |
RZ MPU Graphics Library Evaluation Version for RZ/V2 This product provides the Graphics Library for Mali GPU on RZ/V2L and RZ/V2H. You can use the graphics function on them by building according to the integration guide which is enclosed in the download file.
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Software Package | 瑞萨电子 |
RZ MPU Security Package (Linux OS) Security Package for RZ MPUs. This package is used in combination with the Linux package provided for each device.
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Software Package | 瑞萨电子 |
AI Navigator: IDE for AI Applications The functions required for the development of embedded systems that use artificial intelligence (AI) have been integrated in AI Navigator, shortening the development periods.
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Solution Toolkit | 瑞萨电子 |
RZ/V2H ISP Support Package The RZ/V2H built-in ISP (Image signal processor: ARM: Mali™-C55) is equipped with all the mechanisms required for camera control.
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Software Package | 瑞萨电子 |
SEGGER J-Link and J-Trace PRO The J-Link debug probes offer full support for RZ Family MPUs. With their outstanding performance, robustness, and ease of use are widely recognized as the market-leading debug probes today.
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Emulator | SEGGER |
Face Mosaic Application (GitHub) This application is designed to detect mosaic heads in the capture image of a camera and display the result on an HDMI screen.
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Software Package | 瑞萨电子 |
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RZ/V2H AI MPU 评测套件 (RTK0EF0168C04000BJ) 用于评测瑞萨电子 RZ/V2H 四核 视觉 AI MPU。 该套件包括 CPU 板和扩展(EXP)板。 支持 RZ/V2H 标准软件包,能轻松实现低功耗 AI 推理和视频流等软件开发任务。 此外,这款评测套件还支持图像信号处理器 (ISP)、3D 图形引擎...
e-CAM22_CURZH is a full HD ultra-low light multi-camera solution for the Renesas RZ/V2H processor. This camera is based on the SONY STARVIS IMX462 CMOS image sensor....
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This video demonstrates how to run the RZ/V2H AI applications demo on the RZV2H evaluation board kit.
Chapter Titles
00:00 Opening
00:08 Overview
00:56 Download RZ/V2H AI demo image file
01:42 Writing the AI application demo image file on microSD card
03:00 Setup for RZ/V2H EVK
03:33 Launch AI demo
04:05 End of AI demo and RZ/V2H EVK power-off procedure
05:08 Ending
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