RZ-V/RZ-V2H EVK: Difference between revisions
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** Robotic Operating System (ROS) | ** Robotic Operating System (ROS) | ||
**RZ/V2H Cortex CM33 FSP | **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 ) | |||
* [https://www.renesas.com/us/en/document/sws/rzv2h-ai-sdk-v300?r=25470141 '''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 ) | |||
* [https://renesas-rz.github.io/rzv_ai_sdk/latest/ 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 == | |||
'''[https://www.renesas.com/us/en/software-tool/drp-ai-translator-i8 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 == | |||
'''[https://github.com/renesas-rz/rzv_drp-ai_tvm Official Site]''' | |||
'''[[DRP-AI TVM|DRP-AI TVM wik]]<nowiki/>i''' | |||
== 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. | |||
'''[https://www.renesas.com/us/en/software-tool/drp-ai-extension-pack-pruning-tool 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 | |||
Revision as of 16:43, 29 February 2024
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