RZ-V/RZ-V2H EVK
General Information
- Official RZ/V2H Device Website *
- Product Page
- Please review the **Documentation & Downloads** section
- Evaluation Board Documentation
- 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 )
- Included with the DRP-AI Package. AI models include
- 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
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
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.
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 |