This is the procedure from setting up the evaluation environment to running the sample program. (Click here for RZ/V2L)
Please refer the AI Evaluation software for the evaluation of DRP-AI itself. Also, refer to the RZ/V2L, RZ/V2M, RZ/V2MA AI Evaluation Software Guide revision 7.50 (PDF | English, 日本語) in DRP-AI Support Package for information on how to use the evaluation software.
Learn more about the RZ/V Series
RZ/V2MA MPU
You can easily try out AI applications using RZ/V2MA MPUs by following the steps below.
Step 1: Obtain an evaluation board
The RZ/V2MA Evaluation Board Kit (EVK) is the ideal board kit for RZ/V2MA evaluation. You can start evaluating RZ/V2MA immediately by building an environment according to the following procedure.
Step 2: Obtain Linux environment
Linux Package for RZ/V2MA is available. Please obtain the latest environment from
RZ/V Verified Linux Package v3.0.4 (ZIP)
Linux Package for RZ/V2MA is available. Please obtain the latest environment from
RZ/V Verified Linux PackageStart-Up Guidefor RZ/V2MA Rev.1.20 (PDF)
(This document is included in the RZ/V Verified Linux Package.)
<Points to consider when referring to the Start Up Guide>
- For more information about VLP, please refer to RZ/V Verified Linux Package [5.10-CIP].
- Please prepare a Linux PC environment for Table 1-1.
- Follow the instructions in Chapter 2.Building Instructions to build. This may take several hours.
- Follow the instructions in Chapter 2 Building Instructions (step4) when building in an offline environment.
- Please download the Bootloader Package from Boot Loader Package for RZ/V2MA(ZIP).
Step 3: EVK setup
Using the prepared environment, let's start the Linux environment on EVK.
RZ/V Verified Linux PackageStart-Up Guidefor RZ/V2MA Rev.1.20 (PDF)
(This document is included in the RZ/V Verified Linux Package.)
Step3-1: Create an SD card for Flash writer on Ubuntu PC.
<point>
- As described in Tabel3-1, use a micro-SDHC card, and only one partition formatted with FAT32.
- Store the “B2_IinitSW.bin” generated in Step 2 to SD Card.
(These files are in build/tmp/deploy/images/rzv2ma under your build execution directory. Use the files described in Table 2-2.)
Step3-2: Write Bootloader to EVK using Flash Writer.
<point>
- Follow the steps in Chapter 4.2.2 to write Bootloader/U-Boot.
- Use the Bootloader and U-Boot generated in Step 2. (These files are in build/tmp/deploy/images/rzv2ma under your build execution directory. Use the files described in Table 2-2.)
- Although a boot loader and U-Boot are written to the EVK at the time of shipment, please be sure to write the boot loader and U-Boot generated in Step 2 to your EVK before use.
- If you use network boot, please refer to chapter 4 of RZ/V2MA DRP-AI Support Package Version 7.40 Release Note (PDF)
Step3-3: Create an SD card on Ubuntu PC.
<point>
- Create a partition formatted with FAT32 and ext4 on the SD card according to the procedure in chapter 3.1.2.
- Write the Linux Kernel/Device tree/root filesystem created in Step 2.
Step3-4: Insert the created SD card into the EVK board and boot the Linux environment.
<point>
- Follow the procedure in step5 of chapter 4.2.2 and chapter 5.1, 5.2 to change the DSW301 settings, set the U-Boot environment variable, and then start the Kernel.
Now the Linux environment has been started (Login).
Step 4: Apply DRP-AI environment
Next, the DRP-AI environment is applied. The RZ/V2MAL DRP-AI Support Package is available on Ubuntu PCs to support the DRP-AI functionality of RZ/V2MA. Please obtain the latest environment from
RZ/V2MA DRP-AI Support Package Version 7.40 (ZIP)
Please follow the instructions in the following document when setting up your environment.
RZ/V2MA DRP-AI Support Package Version 7.40 Release Note (PDF)
(This document is included in the RZ/V2MA DRP-AI Support Package.)
<point>
- For more information about DRP-AI Support Package, please refer to RZ/V2L DRP-AI Support Package.
- Build the environment created in Step 2 according to the procedures in Section 3.2.
- Replace the data written to the SD card up to Step 3 with the data created in this step.
Step 5: Build the DRP-AI sample application
Build the sample application by creating an SDK environment in Ubuntu PC to cross-compile the sample application included in the RZ/V2MA DRP-AI Support Package obtained in Step 4.
Step5-1: Build the SDK environment.
RZ/V2MA DRP-AI Support Package Version 7.40 Release Note (PDF)
(This document is included in the RZ/V2MA DRP-AI Support Package.)
<point>
- Follow the steps in chapter 6 to compile and configure the SDK environment.
Step5-2: Build the sample application in the SDK environment.
RZ/V2MA DRP-AI Sample Application Note revision 7.50 (PDF)
(This document is included in the RZ/V2MA DRP-AI Support Package.)
<point>
- Follow the steps in Chapter 2 to build the sample application.
- Set the working folder as "APP_WORK" and deploy the sample application there.
- Table 1.2 in Sample Application Note lists the sample applications included in the package. For details of the sample applications, please refer to their respective pages.
- Replace the Kernel Image, Device Tree and Root file System on the SD card with the data created in Step4.
- We recommend that you first try the application (USB Camera HTTP version application). This application requires USB Camera specifications to YUYV format/VGA size/30fps.
Step5-3: Save the built application to SD card.
RZ/V2MA DRP-AI Sample Application Note revision 7.50 (PDF)
(This document is included in the RZ/V2MA DRP-AI Support Package.)
<point>
- Save the application execution environment created to the SD card created in Step 4 according to the procedures in Chapter 3.
Step 6: Run the DRP-AI sample application
Insert the SD card created in Step5-3 into the EVK configured in Step4 and run the sample application.
Step6-1: Power on the board and boot Linux.
<point>
- Since EVK has already been set up in Step 3, Linux will boot simply by turning on the power.
Step6-2: Run the application.
RZ/V2MA DRP-AI Sample Application Note revision 7.50 (PDF)
(This document is included in the RZ/V2MA DRP-AI Support Package.)
<point>
- Follow the steps in Chapter 4 to run the sample application.
- Please refer to Figure 3.1 for the required equipment.
Related Information:
RENESAS.info
(Information for engineers, from engineers)
Option1: Change the AI model
If you wish to use a model other than the AI model provided as a sample, please follow the guide below.
RZ/V2L, RZ/V2M, RZ/V2MA AI Implementation Guide Get Started revision 7.50 (PDF | English, 日本語)
(This document is included in the RZ/V2MA DRP-AI Support Package.)
<point>
- The Implementation Guide is divided into a common part (Get Started) and an individual part (Pytorch ResNet, Darknet YOLO, etc.). The link above is for Get Started only. Please obtain the model-specific parts from the RZ/V2MA DRP-AI Support Package according to the model you are using.