Revision as of 17:23, 25 March 2024

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

Getting Started

Hardware

LCD Monitors

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. Based on IMX290

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-=General Information=
+= General Information =
 *'''Official RZ/V2H Device Website''' *
 **[https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-mpus/rzv2h-quad-core-vision-ai-mpu-drp-ai3-accelerator-and-high-performance-real-time-processor Product Page]
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 Coming Soon
+= Getting Started =
+= Hardware =
+== LCD Monitors ==
+== MIPI Camera ==
+Supported MIPI Cameras
+{| class="wikitable"
+|+
+!
+!Resolutions
+!Description
+!Link
+!Comments
+|-
+|
+|VGA ( 640x480) , HD ( 1270x720), FHD(1920,1080)
+Format YUYV
+FPS 30 and 60
+|e-CAM22_CURZH
+|[https://www.e-consystems.com/renesas/sony-starvis-imx462-ultra-low-light-camera-for-renesas-rz-v2h.asp Link]
+|This Camera was designed for the EVK MIPI Connector Interface. Based on IMX290
+|}