DRP-AI Demos: Difference between revisions
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** [https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpus/rzv2l-drp-ai-support-package#overview RZ/V2L DRP-AI Support Package] | ** [https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpus/rzv2l-drp-ai-support-package#overview RZ/V2L DRP-AI Support Package] | ||
** [https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpus/rzv2l-isp-support-package RZ/V2L ISP Support Package] Β | ** [https://www.renesas.com/us/en/products/microcontrollers-microprocessors/rz-arm-based-high-end-32-64-bit-mpus/rzv2l-isp-support-package RZ/V2L ISP Support Package] Β | ||
* '''Supported Renesas Models''' | |||
** YoloV2/V3. TInyYolov2/v3, Resnet, Moblenet, mmpose, and DeepLabv3 | |||
** Refer to DRP-AI Translator page for other models. | |||
= DRP-AI Evaluation Software = | = DRP-AI Evaluation Software = | ||
The AI Evaluation Software is a precompiled application software to evaluate any DRP-AI inferences generated from the DRP-AI Translator.. The software loads the DRP-AI inference in the DRP-AI hardware for evaluation. Runtime performance of the inference is provided. There is no post processing. Instead a raw binary is generated for post processing later. | |||
* '''RZ/V2M''' | NOTE: '''Source Code is not provided''' but the Application Software code that loads and runs the DRP-AI inference is the same. Please refer to the Application Software | ||
** Β | *'''RZ/V2M''' | ||
* '''RZ/V2L''' | ** rzv2m_ai-evalutation-software | ||
*** Β | |||
*'''RZ/V2L''' | |||
** rzv2l_ai-evalutation-software | |||
= DRP-AI Implementation Software = | = DRP-AI Implementation Software = | ||
The Implementation Software are development tools that provide the following support. | |||
* '''RZ/V2M''' | * PyTorch Scripts of Supported Renesas AI Models. | ||
* '''RZ/V2L''' | * Python script example for converting PyTorch script to onnx | ||
* DRP-AI Translator configuration YAML files | |||
* Post Processing of the Evaluation Software for Supported Renesas AI Models. | |||
* Pre generated ONNX file and DRP-AI inference files. | |||
Β | |||
Implementation Software can be found in the sub folder shown below of the RZ/V2L DRP-AI Support Package. | |||
*'''RZ/V2M''' | |||
*'''RZ/V2L''' | |||
** rzv2l_ai-implementaion-guide | |||
= DRP-AI Application Software = | = DRP-AI Application Software = | ||
The DRP AI Application Software areΒ C language make file projects. These demos provide examples for running DRP-AI inference, Camera API ( USB and MIPI ), Weston Display API, H.264 network streaming, AI Preprocessing, and AI post processing.Β For detailed information refer to the documentation included in the package. | |||
* '''RZ/V2M''' | NOTE: '''MIPI Camera requires ISP package installation.''' | ||
* '''RZ/V2L''' | *'''RZ/V2M''' | ||
*'''RZ/V2L''' | |||
** rzv2l_ai-sample-application | |||
= DRP-AI and ISP Demos = | = DRP-AI and ISP Demos = | ||
Β | This software is included in the DRP-AI Application Software. This software requires that the ISP has been installed. Below is a list of the application projects for each target machine. For details on compile, target deployment, and running the demos refer to the documents included in the package. | ||
* '''RZ/V2M''' | * '''RZ/V2M''' | ||
* '''RZ/V2L''' | * '''RZ/V2L''' |
Revision as of 00:27, 26 May 2022
RZV2 Reference Application Demos can be found in the links below
- RZ/V2M
- RZ/V2L
- Supported Renesas Models
- YoloV2/V3. TInyYolov2/v3, Resnet, Moblenet, mmpose, and DeepLabv3
- Refer to DRP-AI Translator page for other models.
DRP-AI Evaluation Software
The AI Evaluation Software is a precompiled application software to evaluate any DRP-AI inferences generated from the DRP-AI Translator.. The software loads the DRP-AI inference in the DRP-AI hardware for evaluation. Runtime performance of the inference is provided. There is no post processing. Instead a raw binary is generated for post processing later.
NOTE: Source Code is not provided but the Application Software code that loads and runs the DRP-AI inference is the same. Please refer to the Application Software
- RZ/V2M
- rzv2m_ai-evalutation-software
- rzv2m_ai-evalutation-software
- RZ/V2L
- rzv2l_ai-evalutation-software
DRP-AI Implementation Software
The Implementation Software are development tools that provide the following support.
- PyTorch Scripts of Supported Renesas AI Models.
- Python script example for converting PyTorch script to onnx
- DRP-AI Translator configuration YAML files
- Post Processing of the Evaluation Software for Supported Renesas AI Models.
- Pre generated ONNX file and DRP-AI inference files.
Implementation Software can be found in the sub folder shown below of the RZ/V2L DRP-AI Support Package.
- RZ/V2M
- RZ/V2L
- rzv2l_ai-implementaion-guide
DRP-AI Application Software
The DRP AI Application Software are C language make file projects. These demos provide examples for running DRP-AI inference, Camera API ( USB and MIPI ), Weston Display API, H.264 network streaming, AI Preprocessing, and AI post processing. For detailed information refer to the documentation included in the package.
NOTE: MIPI Camera requires ISP package installation.
- RZ/V2M
- RZ/V2L
- rzv2l_ai-sample-application
DRP-AI and ISP Demos
This software is included in the DRP-AI Application Software. This software requires that the ISP has been installed. Below is a list of the application projects for each target machine. For details on compile, target deployment, and running the demos refer to the documents included in the package.
- RZ/V2M
- RZ/V2L