RZ-V/RZ-V2H EVK

General Information

• Official RZ/V2H Device Website *
  • Product Page
  • Please review the **Documentation & Downloads** section

• Evaluation Board Documentation
  • RZ/V2H Quad-core Vision AI MPU Evaluation Kit

• Software Downloads
  • Check "Software & Tool Pages" section on on this page

• • RZ/V2H Linux Package
  • Mali Graphic Library
  • Video Codec Library
  • ARM Mali Full ISP
  • RZ/V2L DRP-AI Support Package
  • RZ/V2H Cortex-M33 and Cortex-CR8 Multi-OS Package (optional)
  • Robotic Operating System (ROS)
  • RZ/V2H Cortex CM33 FSP

Prebuilt Images

To help expedite evaluation of the RZ/V2H we provide Pre-build Images of the RZ/V2H VLP.

• RZ/V2H VLP ( Coming Soon )
• RZ/V2H AI SDK

Available Demos

DRP-AI

• vSLAM (Contact Sales Representative for demo)

• DRP-AI Demos
  • Included with the DRP-AI Package. AI models include
    • Classification (Resnet50)
    • Object Detection ( YoloX and Yolov2 )
    • Segmentation ( DeepLabv2 )
• Renesas RZ/V2H AI SDK

DRP-AI Tools

⚠️ The DRP-AI Tools will only work in Ubuntu 20.04

RZ/V2H DRP-AI Translator and Quantization Tool

Official Site

This tool quantize and translates AI Models exported in the ONNX format to the RZ/V2H DRP-AI (INT8) hardware. This tool includes the following

• RZ/V2H DRP-AI Translator
• DRP-AI Quantization Tool

The RZV2H DRP-AI MAC only performs INT8 operations, so AI Models must be quantized before translation.

AI Models must use only the supported AI operations listed in the RZ\V2H DRP-AI Translator Manual ( section 4.1). For AI models that have un-supported operations please use the Renesas DRP-AI TVM Tool.

Retraining Quantized Models

It is recommended to retrains a model after quantization to reduce changes to the inference accuracy . For that purpose the Quantization tool includes optional parameters that point to the data set and dataset parsing function.

Beside the AI Model below are additional items needed to properly quantize a model.

• Customer Dataset ( does not need to be the full dataset )
• Function to parse the mode

RZ/V2H DRP-AI TVM

Official Site

DRP-AI TVM wiki

RZ/V2H Expansion Pack (Pruning Tool )

The DRP-AI MAC supports sparse arrays (unstructured pruning). The expansion pack tool are python libraries that can be imported into the training environment.

Official Site

RZ/V2H Implementation Guide

This is included in the RZ/V2H DRP-AI Yocto Package.  The guide provides step by step examples of how to use the RZ/V2H DRP-Tools on trained AI models .

Coming Soon

Hardware

Power Supply

Recommended Power Supplies ( Recommend 100Ws )

	Description	Link	Comments
🙂	Amazon Basics	Link	2xUSB-C, 2xUSB, 1x65-100W, 1x18W, 2x12W
🙂	Nekteck	Link	1x USBC 100W

+LCD Monitors

LCD Monitors

	Resolution	Touchscreen	Description	Link	Comments
🙂	1920x1080	Yes	Wimaxit 14 Inch	🛒 buy	This is a very nice screen. Good color and easy to press the icons. The LCD input is mini-HDMI and comes with a mini-HDMI to HDMI cable. The RZ board is micro-HDMI. You will also need to buy a HDMI to micro-HDMI adapter. Or, buy a mini-HDMI to HDMI-micro cable. Note the the micro-USB connection on the LCD for touchscreen does not work, but the USB-C connector does work for touchscreen. You will simply need a USB-C to USB-A cable or adapter.
🙂	1920x1080	Yes	ELECROW 10.1 Inch	🛒 buy	This is a very nice screen. You will also need to buy a HDMI to micro-HDMI cable.
🙂	1280x800	Yes	SunFounder 10.1 inch	🛒 buy	All the cables that you will need are included.
🙂	1024x600	Yes	Ingcool 7 inch 7IP-CAPLCD	🛒 buy	If you attach the 'Touch' USB connection on the LCD to the RZ/G2L board, it will both power the LCD board as well as enable touch support. This kit comes with HDMI cables.
🙂	800x480	Yes	GeeekPi 5 Inch EP-0081	🛒 buy	HDMI cable not included.

MIPI Camera

Supported MIPI Cameras

	Resolutions	Description	Link	Comments
🙂	VGA ( 640x480) , HD ( 1270x720), FHD(1920,1080) Format YUYV FPS 30 and 60	e-CAM22_CURZH	Link	This Camera was designed for the EVK MIPI Connector Interface. Uses the Sony Starvis I IMX462.