diff --git a/.github/workflows/deploy-version.yml b/.github/workflows/deploy-version.yml index 939dc43..bf1760c 100755 --- a/.github/workflows/deploy-version.yml +++ b/.github/workflows/deploy-version.yml @@ -20,7 +20,7 @@ jobs: # JEKYLL_PAT: ${{ secrets.JEKYLL_PAT }} - name: get_version - run: echo "RELEASE_VERSION=4.00" >> $GITHUB_ENV + run: echo "RELEASE_VERSION=5.00" >> $GITHUB_ENV # you probably would do build and test steps here diff --git a/docs/_config.yml b/docs/_config.yml index c070697..a1e366b 100755 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -19,12 +19,12 @@ # in the templates via {{ site.myvariable }}. title: Renesas RZ/V AI -version: "4.00" +version: "5.00" #email: your-email@example.com description: >- # this means to ignore newlines until "baseurl:" The best solution for starting your AI applications. domain: "renesas-rz.github.io" -baseurl: "/rzv_ai_sdk/4.00" # the subpath of your site, e.g. /blog +baseurl: "/rzv_ai_sdk/5.00" # the subpath of your site, e.g. /blog repository: renesas-rz/rzv_ai_sdk url: "https://renesas-rz.github.io" # the base hostname & protocol for your site, e.g. http://example.com # twitter_username: jekyllrb diff --git a/docs/_layouts/default.html b/docs/_layouts/default.html index 8c5ff5b..bdc676b 100755 --- a/docs/_layouts/default.html +++ b/docs/_layouts/default.html @@ -297,9 +297,6 @@
  • Appendix 2. Resize microSD card image
  • -
  • - Appendix 3. Prepare H.264/H.265 Enc/Dec -
  • diff --git a/docs/_site/404.html b/docs/_site/404.html index f23644d..1f938f8 100755 --- a/docs/_site/404.html +++ b/docs/_site/404.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2023-04-20T11:18:09+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/404.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -641,6 +638,6 @@

    404

    - + diff --git a/docs/_site/RZV2L_board_setup_e2studio.html b/docs/_site/RZV2L_board_setup_e2studio.html index d1d5501..5820d4d 100755 --- a/docs/_site/RZV2L_board_setup_e2studio.html +++ b/docs/_site/RZV2L_board_setup_e2studio.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2023-12-11T19:09:38+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/RZV2L_board_setup_e2studio.html"} - + @@ -44,7 +44,7 @@ - + @@ -64,7 +64,7 @@ @@ -93,7 +93,7 @@

    Step 1: Setup RZ/V2L Evaluation Board Kit

  • Format SD card
  • - Create the following partitions on microSD card according to "Format SD card for eSD Boot".
    + Create the following partitions on microSD card according to "Format SD card for eSD Boot".

    diff --git a/docs/_site/about-applications.html b/docs/_site/about-applications.html index 0f14920..542abba 100755 --- a/docs/_site/about-applications.html +++ b/docs/_site/about-applications.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-02-29T10:44:37+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/about-applications.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -627,7 +624,7 @@

    - This page explains the overview of + This page explains the overview of AI Applications.
    @@ -639,7 +636,7 @@

    What is AI Applications?

    AI Applications are sets of application source code, pre-build application binary and pre-trained AI model objects, which allow users to run AI Applications easily and quickly.
    Users can select the category of applications and access the applications provided on GitHub.
    - + Select category of AI Applications >
    @@ -745,7 +742,7 @@

    Git Tag Rule

    Note - The link in AI Applications page guides you to the "main" branch of GitHub repository, which is the latest information.
    + The link in AI Applications page guides you to the "main" branch of GitHub repository, which is the latest information.
    Please be aware that latest AI Application requires latest RZ/V AI SDK.
    Directory structure of each application in GitHub repository is explained in the File Configuration. @@ -786,7 +783,7 @@
    RZ/V2H EVK

    Example:
    - In R01_object_detection, change the define.h as shown below.
    + In R01_object_detection, change the define.h as shown below.
    Before
    #define CAM_IMAGE_WIDTH             (640)
    @@ -806,7 +803,7 @@ 
    RZ/V2H EVK

    Example:
    - In R01_object_detection, change the define.h as shown below.
    + In R01_object_detection, change the define.h as shown below.
    Before
    const static std::string model_dir = "yolov3_onnx";
    @@ -852,7 +849,7 @@

    AI models

    AI Applications Image

    - All images listed in AI Applications page are proprietary files owned exclusively by Renesas Electronics Corporation.
    + All images listed in AI Applications page are proprietary files owned exclusively by Renesas Electronics Corporation.

    @@ -864,20 +861,20 @@

    AI Applications Image

    Reference

    To select the AI Application, choose the category from AI Applications section of the top page.
    - + Go to Home to select category >

    Getting Started explains the whole procedure to build/run the AI Applications.
    To build the application, see Step 6 of Getting Started.
    - + Go to Getting Started Step 6 >

    To run the application, see Step 7~8 of Getting Started.
    - + Go to Getting Started Step 7 >
    @@ -887,7 +884,7 @@

    Reference

    @@ -902,6 +899,6 @@

    Reference

    - + diff --git a/docs/_site/ai-sdk.html b/docs/_site/ai-sdk.html index 651d292..f2726b1 100755 --- a/docs/_site/ai-sdk.html +++ b/docs/_site/ai-sdk.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-06-24T13:11:09+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/ai-sdk.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -650,14 +647,14 @@


    Please refer to How to Build AI SDK page shown below for more details.
    - +
    - +

    For more information, see each AI SDK download page.
    -
    +
    - Not provided in v4.00. + Not provided in v5.00.
    @@ -1050,7 +1047,7 @@

    For more information on RZ/V2L AI SDK, see the page below.
    -
    +


    For more information on AI SDK Source Code, see How to Build AI SDK page.
    -
    +
    *2: Note that Graphics Library and Video Codecs Library Evaluation Version have a limitation that system stops running after around 10 hours.
    - If you would like to use unristricted version, please build AI SDK with Graphics Library Unristrictd Version and Video Codecs Library Unristricted Version according to
    How to Build RZ/V2L AI SDK. + If you would like to use unristricted version, please build AI SDK with Graphics Library Unristrictd Version and Video Codecs Library Unristricted Version according to How to Build RZ/V2L AI SDK.
    @@ -1105,7 +1102,7 @@

    - Target Version: 4.00 + Target Version: 5.00
    @@ -1118,7 +1115,7 @@

    RZ/V2H AI SDK configuration is as follows.


    After this procedure, you can copy the AI Application and boot the board.
    -Refer to the Step 7: 2. Deploy Application to the Board in RZ/V2L EVK Getting Started. +Refer to the Step 7: 2. Deploy Application to the Board in RZ/V2L EVK Getting Started.

    A2. Format SD card

    @@ -1370,7 +1367,7 @@
    Create SD card partition


    After this procedure, you can write the necessary data for the board into microSD card.
    -Refer to the Write the Linux files to SD card in RZ/V2L EVK Getting Started.

    +Refer to the Write the Linux files to SD card in RZ/V2L EVK Getting Started.



    @@ -1467,6 +1464,6 @@

    A4. Shutdown RZ/V2H EVK

    - + diff --git a/docs/_site/applications.html b/docs/_site/applications.html index e01fea6..b9c7b98 100755 --- a/docs/_site/applications.html +++ b/docs/_site/applications.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-06-27T17:39:45+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/applications.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -627,12 +624,12 @@

    AI Applications are provided with pre-trained AI models.

    Select each application to access the source code.


    - To run the AI Applications without constructing the AI SDK environment, refer to Demo. + To run the AI Applications without constructing the AI SDK environment, refer to Demo.

    - To see the overview about AI Applications, please refer to About AI Applications page.
    + To see the overview about AI Applications, please refer to About AI Applications page.
    -

    +


    Updated!
    @@ -2134,7 +2131,7 @@
    Updated!
    @@ -2461,6 +2458,6 @@

    Status

    - + diff --git a/docs/_site/demo.html b/docs/_site/demo.html index e5c3a05..6de7c6a 100755 --- a/docs/_site/demo.html +++ b/docs/_site/demo.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-06-27T17:39:45+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/demo.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -619,10 +616,10 @@

    @@ -656,7 +653,7 @@
    Supported version: RZ/V2L AI SDK v2.10

    Overview

    This page explains how to setup the RZ/V2L Evaluation Board Kit (EVK) using the demo binary file.
    -Unlike the procedure described in Getting Started, this page does not build the AI Software Development Kit (AI SDK) environment, so you can easily try running the AI Applications. +Unlike the procedure described in Getting Started, this page does not build the AI Software Development Kit (AI SDK) environment, so you can easily try running the AI Applications.

    In this guide, you will be able to learn followings.

    @@ -673,7 +670,7 @@

    Overview

    demo_example

    -

    To see a list of applications included in this demo, see List of RZ/V2L AI Applications Demo.

    +

    To see a list of applications included in this demo, see List of RZ/V2L AI Applications Demo.

    For more information about the RZ/V series, click here.

    @@ -827,7 +824,7 @@

    Step 1: Boot process

    1. - Once the Preparation chapter is complete, you can boot the board in the following way. + Once the Preparation chapter is complete, you can boot the board in the following way.
      Boot procedures @@ -1203,7 +1200,7 @@

      Step 2: Demo execution


    2. -
    3. After following the boot procedure in the previous section, you should be able to enter commands into the terminal screen on the HDMI monitor.
      +
    4. After following the boot procedure in the previous section, you should be able to enter commands into the terminal screen on the HDMI monitor.
      Execute the following commands. Replace <category> and <application-name> with the selected application.
      cd /home/root
      @@ -1218,7 +1215,7 @@ 

      Step 2: Demo execution

    Note - Some applications support both MIPI/USB camera input. (Refer to List of RZ/V2L AI Applications Demo). To use USB camera for those applications, run following command. + Some applications support both MIPI/USB camera input. (Refer to List of RZ/V2L AI Applications Demo). To use USB camera for those applications, run following command.
    ./<category>/<application-name>.sh USB
    @@ -1227,7 +1224,7 @@

    Step 2: Demo execution

  • On monitor, the application will automatically start.
    Note 1 - Some applications require GUI control. See the link in the user interface column of List of RZ/V2L AI Applications Demo. + Some applications require GUI control. See the link in the user interface column of List of RZ/V2L AI Applications Demo.
    Note 2 @@ -1287,6 +1284,6 @@

    Tips

    - + diff --git a/docs/_site/demo_v2h.html b/docs/_site/demo_v2h.html index 67babd2..b931cce 100755 --- a/docs/_site/demo_v2h.html +++ b/docs/_site/demo_v2h.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-08-01T10:51:30+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/demo_v2h.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -635,7 +632,7 @@

    Supported version: RZ/V2H AI SDK v4.00

    Overview

    This page explains how to setup the RZ/V2H Evaluation Board Kit (EVK) using the demo binary file.
    -Unlike the procedure described in Getting Started, this page does not build the AI Software Development Kit (AI SDK) environment, so you can easily try running the AI Applications. +Unlike the procedure described in Getting Started, this page does not build the AI Software Development Kit (AI SDK) environment, so you can easily try running the AI Applications.

    In this guide, you will be able to learn followings.

    @@ -652,7 +649,7 @@

    Overview

    demo_example_v2h

    -

    To see a list of applications included in this demo, see List of RZ/V2H AI Applications Demo.

    +

    To see a list of applications included in this demo, see List of RZ/V2H AI Applications Demo.

    For more information about the RZ/V series, click here.

    @@ -671,7 +668,7 @@

    Step 1: Hardware Preparation


    Click the button below to get the RZ/V2H board.

    - + @@ -945,7 +942,7 @@

    Running Applications

    Step 1: Boot process

    -

    Once the Preparation chapter is complete, you can boot the board in the following way. +

    Once the Preparation chapter is complete, you can boot the board in the following way.

    @@ -1211,7 +1208,7 @@

    Step 2: Demo execution

  • - After following the boot procedure in the previous section, you can start the application using the GUI.
    + After following the boot procedure in the previous section, you can start the application using the GUI.
      @@ -1249,7 +1246,7 @@

      Step 2: Demo execution

    Note2 - If the running application encounters any errors (e.g. if the camera is not connected), the application will automatically exit and return to the home screen. + If the running application encounters any errors (e.g. if the camera is not connected), the application will automatically exit and return to the home screen.
    @@ -1270,7 +1267,7 @@

    Step 3: Shutdown process

    To power-off the RZ/V2H EVK, follow the procedures below.

    1. - On the home screen, click the X button at the top right-hand corner.

      + On the home screen, click the X button at the top right-hand corner.

      demo_gui_shutdown_btn_v2h @@ -1298,6 +1295,6 @@

      Step 3: Shutdown process

    - + diff --git a/docs/_site/download.html b/docs/_site/download.html index 899c54f..872187a 100755 --- a/docs/_site/download.html +++ b/docs/_site/download.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-04-25T15:35:29+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/download.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -646,7 +643,7 @@

    RZ/V2L Evaluation Board Kit (EVK)

    Get RZ/V2L AI SDK

    - If you would like to use the GUI environment (e2 studio for RZ/V2L), see AI Navigator Quick Start Guide instead of "Get RZ/V2L AI SDK" Button above. + If you would like to use the GUI environment (e2 studio for RZ/V2L), see AI Navigator Quick Start Guide instead of "Get RZ/V2L AI SDK" Button above.

  • @@ -670,14 +667,14 @@

    RZ/V2H Evaluation Board Kit (EVK)

    Get RZ/V2H AI SDK

    - If you would like to use the GUI environment (e2 studio for RZ/V2H), see AI Navigator Quick Start Guide instead of "Get RZ/V2H AI SDK" Button above. + If you would like to use the GUI environment (e2 studio for RZ/V2H), see AI Navigator Quick Start Guide instead of "Get RZ/V2H AI SDK" Button above.


    @@ -689,6 +686,6 @@

    RZ/V2H Evaluation Board Kit (EVK)

    - + diff --git a/docs/_site/eSD_format_sd.html b/docs/_site/eSD_format_sd.html index 2ece8cc..d9f58f6 100755 --- a/docs/_site/eSD_format_sd.html +++ b/docs/_site/eSD_format_sd.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2023-12-11T19:09:38+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/eSD_format_sd.html"} - + @@ -44,7 +44,7 @@ - + @@ -356,7 +356,7 @@

    2. Create SD card partition


    After this procedure, you can write the necessary data for the board into microSD card.
    -Go to “Set up RZ/V2L Evaluation Board Kit” to prepare a micro SD card for booting.

    +Go to “Set up RZ/V2L Evaluation Board Kit” to prepare a micro SD card for booting.

    diff --git a/docs/_site/feed.xml b/docs/_site/feed.xml index 0ecf40b..d8d00cb 100755 --- a/docs/_site/feed.xml +++ b/docs/_site/feed.xml @@ -1 +1 @@ -Jekyll2024-08-09T11:32:13+09:00https://renesas-rz.github.io/rzv_ai_sdk/4.00/feed.xmlRenesas RZ/V AIThe best solution for starting your AI applications. \ No newline at end of file +Jekyll2024-08-09T11:51:55+09:00https://renesas-rz.github.io/rzv_ai_sdk/5.00/feed.xmlRenesas RZ/V AIThe best solution for starting your AI applications. \ No newline at end of file diff --git a/docs/_site/getting_started.html b/docs/_site/getting_started.html index 6bbcf40..13100bb 100755 --- a/docs/_site/getting_started.html +++ b/docs/_site/getting_started.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-08-09T11:36:17+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/getting_started.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -650,7 +647,7 @@

    This page explains how to start-up the AI SDK.
    RZ/V2H Evaluation Board Kit - RZ/V2H AI SDK v4.00 + RZ/V2H AI SDK v5.00

    Learn more about the RZ/V series.

    @@ -668,7 +665,7 @@
    This page explains how to start-up the AI SDK.
    Tutorial video - Tutorial video is available here.
    + Tutorial video is available here.
    @@ -1243,8 +1240,8 @@

    Step 5: Setup RZ/V AI SDK

    Step 6: Build RZ/V AI Application

    This step explains how to build AI application.
    -To see the overview about AI Applications, please refer to About AI Applications page.
    - +To see the overview about AI Applications, please refer to About AI Applications page.
    +

    Step 6: Build RZ/V AI Application


    Building instructions.

    -

    In AI Applications, there are two types of applications.

    +

    In AI Applications, there are two types of applications.

    @@ -1289,7 +1286,7 @@
    @@ -1326,22 +1323,22 @@
    Option 1: For <Application 1>README.md document provided in application directory and follow the instruction in the chapter called "Application: Build Stage" (or similar) to build the application.

    Example:
    - In R01_object_detection application, follow the instruction here to generate the following application binary. + In R01_object_detection application, follow the instruction here to generate the following application binary.
    • object_detection
    - + @@ -1383,14 +1380,14 @@
    Option 2: For <Application 2>
    git clone https://github.com/Ignitarium-Renesas/RZV2L_AiLibrary
    - @@ -1497,20 +1494,20 @@

    You have experienced the AI Application development procedures.
    Next step is to change the application to create your own AI Application.
    -You can use the applications listed in AI Applications to expand your ideas! +You can use the applications listed in AI Applications to expand your ideas!

    If you would like to customize Yocto Linux or develop your own board, please change and build the AI SDK Source Code based on your environment.
    Please refer to How to Build AI SDK page shown below for more details.
    - +
    - +

    - + diff --git a/docs/_site/getting_started_v2h.html b/docs/_site/getting_started_v2h.html index 79ebdb9..26340a1 100755 --- a/docs/_site/getting_started_v2h.html +++ b/docs/_site/getting_started_v2h.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-05-31T15:36:47+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/getting_started_v2h.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -619,7 +616,7 @@

    @@ -634,7 +631,7 @@

    This page explains how to start-up the AI SDK on the RZ/V2H Evaluation Board Kit.
    -
    Supported version: RZ/V2H AI SDK v4.00
    +
    Supported version: RZ/V2H AI SDK v5.00
    Terminology @@ -647,7 +644,7 @@

    Getting Started Flow

    This page explains RZ/V2H EVK dependent instructions.
    - Common instructions are explained in Getting Started page.
    + Common instructions are explained in Getting Started page.
    flow
    @@ -661,8 +658,8 @@

    Prerequisites

    - Before reading this document, users are required to read Getting Started.
    - + Before reading this document, users are required to read Getting Started.
    +
    Before reading this step - Users are required to read Step 1~6 of Getting Started.
    - + Users are required to read Step 1~6 of Getting Started.
    +
    1. Install Necessary Software
    2. - As explained in Necessary Software of Getting Started Step 2, make sure that bmap-tools is installed on Linux PC.
      + As explained in Necessary Software of Getting Started Step 2, make sure that bmap-tools is installed on Linux PC.
      If you have not installed the bmap-tools, install it using following command on Host PC (Not in the docker container).
      sudo apt install bmap-tools
      @@ -978,7 +984,7 @@

      2. Deploy Application to the Board



      Example:
      - In R01_object_detection application, follow the instruction in here to find files to be copied. + In R01_object_detection application, follow the instruction in here to find files to be copied.

      Use the following command to copy the files to root filesystem. @@ -1071,7 +1077,7 @@

      3. Boot RZ/V2H EVK


    - After the boot up, please go back to Getting Started Step 8 or proceed directly to RZ/V2H EVK Getting Started Step 8. + After the boot up, please go back to Getting Started Step 8 or proceed directly to RZ/V2H EVK Getting Started Step 8.

    @@ -1100,7 +1106,7 @@

    Step 8: Run AI Application



    Example:
    - For R01_object_detection application, follow the instruction here to run the application. + For R01_object_detection application, follow the instruction here to run the application.
    If you have successfully run the application, you will see following window on HDMI screen.

    @@ -1111,7 +1117,7 @@

    Step 8: Run AI Application

    Note - To shutdown the board safely, please refer to A4. Shutdown RZ/V2H EVK + To shutdown the board safely, please refer to A4. Shutdown RZ/V2H EVK
    @@ -1123,7 +1129,7 @@

    Step 8: Run AI Application

    This is the end of RZ/V2H EVK Getting Started.

    To see what comes next, please refer to the Getting Started Ending.
    - +
    @@ -1148,6 +1154,6 @@

    This is the end of RZ/V2H EVK Getting Started.

    - + diff --git a/docs/_site/getting_started_v2l.html b/docs/_site/getting_started_v2l.html index 97673a9..6358564 100755 --- a/docs/_site/getting_started_v2l.html +++ b/docs/_site/getting_started_v2l.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-02-29T10:44:37+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/getting_started_v2l.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -619,7 +616,7 @@

    @@ -647,7 +644,7 @@

    Getting Started Flow

    Application
    - R01_object_detection + R01_object_detection
    @@ -1089,7 +1086,7 @@
    For eMMC - Please write the bootloaders to eMMC on the board according to Appendix: A1.Setup for eMMC Bootloader. + Please write the bootloaders to eMMC on the board according to Appendix: A1.Setup for eMMC Bootloader.
    @@ -1128,7 +1125,7 @@

    2. Deploy Application to the Board



    Example:
    - In R01_object_detection application, follow the instruction in here to find files to be copied. + In R01_object_detection application, follow the instruction in here to find files to be copied.

    Use the following command to copy the files to root filesystem. @@ -1277,7 +1274,7 @@

    3. Boot RZ/V2L EVK

    - After the boot up, please go back to Getting Started Step 8 or proceed directly to RZ/V2L EVK Getting Started Step 8. + After the boot up, please go back to Getting Started Step 8 or proceed directly to RZ/V2L EVK Getting Started Step 8.

    @@ -1306,7 +1303,7 @@

    Step 8: Run AI Application



    Example:
    - For R01_object_detection application, follow the instruction here to run the application. + For R01_object_detection application, follow the instruction here to run the application.
    If you have successfully run the application, you will see following window on HDMI screen.

    @@ -1317,7 +1314,7 @@

    Step 8: Run AI Application

    Note - To shutdown the board safely, please refer to A3. Shutdown RZ/V2L EVK + To shutdown the board safely, please refer to A3. Shutdown RZ/V2L EVK
    @@ -1329,7 +1326,7 @@

    Step 8: Run AI Application

    This is the end of RZ/V2L EVK Getting Started.

    To see what comes next, please refer to the Getting Started Ending.
    - +
    @@ -1389,6 +1386,6 @@

    This is the end of RZ/V2L EVK Getting Started.

    - + diff --git a/docs/_site/history.html b/docs/_site/history.html index 756789a..a615884 100755 --- a/docs/_site/history.html +++ b/docs/_site/history.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-08-07T12:06:46+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/history.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -628,6 +625,39 @@



    + +

    + RZ/V2H AI SDK v5.00 +

    +
    + 2024.8.9 +
    +
    +
      +
    • +
      RZ/V2H AI SDK v5.00 is released.
      +
        +
      • + Supported DRP-AI TVM v2.3.0.
        +
      • +
      • + Updated RZ/V2H Linux BSP.
        +
      • +
      • + Updated RZ/V2H Graphics Library to v1.2.2.
        +
      • +
      • + Updated RZ/V2H Video Codec Library to v3.1.1.
        +
      • +
      • + Updated RZ/V2H OpenCV Accelerator to v1.10.
        +
      • +
      +
    • +
    +
    + +

    RZ/V AI Transfer Learning Tool v4.00 @@ -1136,7 +1166,7 @@

    RZ/V2L AI SDK v1.00 is released.

    @@ -1148,6 +1178,6 @@
    RZ/V2L AI SDK v1.00 is released.
    - + diff --git a/docs/_site/howto_build_aisdk.html b/docs/_site/howto_build_aisdk.html index 0a0ed99..f1efaed 100755 --- a/docs/_site/howto_build_aisdk.html +++ b/docs/_site/howto_build_aisdk.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-05-31T15:36:47+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/howto_build_aisdk.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -634,7 +631,7 @@

    Introduction

    AI SDK is a quick and easy AI Application development environment.
    It is specifically made for RZ/V2L Evaluation Board Kit with fixed Linux components.
    - (For more information, please refer to Getting Started and AI SDK.)
    + (For more information, please refer to Getting Started and AI SDK.)

    To modify Linux component, you need to build AI SDK from source code.
    AI SDK Source Code can generate the same Linux environment as AI SDK.
    @@ -655,7 +652,7 @@

    Introduction

    Requirement
      -
    1. Users have launched RZ/V2L Evaluation Board Kit according to Getting Started, which means they can run AI Application on the board.
      +
    2. Users have launched RZ/V2L Evaluation Board Kit according to Getting Started, which means they can run AI Application on the board.
    3. To build Yocto Linux, the below equipment should be prepared.
    @@ -734,7 +731,7 @@

    Step 2: Extract RZ/V2L AI SDK Source Code

    <path to the working directory>/ai_sdk_work
    - If not, please register the working directory path to an environment variable according to Step4: Extract RZ/V AI SDK package in Getting Started. + If not, please register the working directory path to an environment variable according to Step4: Extract RZ/V AI SDK package in Getting Started. @@ -826,7 +823,7 @@

    Step 3: Build RZ/V2L AI SDK Source Code

    Note 1 These Yocto recipes are provided for eSD Bootloader as default.
    When using eMMC Bootloader, run the command to apply a patch file in addition.
    - About the difference of these two types, please refer to Step7: Deploy AI Application in RZ/V2L EVK Getting Started. + About the difference of these two types, please refer to Step7: Deploy AI Application in RZ/V2L EVK Getting Started.
    cd ${YOCTO_WORK}/meta-renesas
     patch -R -p1 -i ./patch/0001-VLP-v3.0.4-based-smart-rzv2l-eSD-Boot-support.patch
    @@ -836,7 +833,7 @@

    Step 3: Build RZ/V2L AI SDK Source Code

    Note 2 Evaluation version of Graphics Library and Video Codec Library have restriction on their running time.
    If you would like to use unrestricted version of Graphics Library or Video Codec Library, - please refer to Appendix: Build Graphics and Video Codec Library for Unrestricted Version.
    + please refer to Appendix: Build Graphics and Video Codec Library for Unrestricted Version.
  • Initialize a build using the oe-init-build-env script in Poky and set environment variable TEMPLATECONF to the below path. @@ -1018,7 +1015,7 @@

    Step 3: Build RZ/V2L AI SDK Source Code

    This is the end of how to build AI SDK Source Code.

    -

    You have prepared following files, which is same as the one provided in Step 3: Obtain RZ/V2L AI SDK in Getting Started, and you can run AI Applications according to Getting Started. +

    You have prepared following files, which is same as the one provided in Step 3: Obtain RZ/V2L AI SDK in Getting Started, and you can run AI Applications according to Getting Started.

  • @@ -1079,7 +1076,7 @@

    Go to GitHub issues

    @@ -1089,7 +1086,7 @@

    Appendix: Prepare Graphics and Video Codec Library for Unrestricted

    This section explains how to prepare Graphics and Video Codec Library for unrestricted version, intead of evaluation version.

    Note - Following instruction assumes that you have completed Step 3-5 in How to build AI SDK Source Code. + Following instruction assumes that you have completed Step 3-5 in How to build AI SDK Source Code.
    1. Download zip files from the link below. @@ -1164,11 +1161,11 @@

      Appendix: Prepare Graphics and Video Codec Library for Unrestricted

    -

    After this procedure, please proceed to Step 3-6 in How to build AI SDK Source Code to start building Linux kernel files. +

    After this procedure, please proceed to Step 3-6 in How to build AI SDK Source Code to start building Linux kernel files.

    @@ -1179,6 +1176,6 @@

    Appendix: Prepare Graphics and Video Codec Library for Unrestricted

    - + diff --git a/docs/_site/howto_build_aisdk_v2h.html b/docs/_site/howto_build_aisdk_v2h.html index 7b36207..c45ef56 100755 --- a/docs/_site/howto_build_aisdk_v2h.html +++ b/docs/_site/howto_build_aisdk_v2h.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-08-09T11:36:17+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/howto_build_aisdk_v2h.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -626,7 +623,7 @@


    This page explains how to build Linux with RZ/V2H AI SDK Source Code.
    -
    Supported version: RZ/V2H AI SDK v4.00
    +
    Supported version: RZ/V2H AI SDK v5.00

    Introduction

    @@ -634,7 +631,7 @@

    Introduction

    AI SDK is a quick and easy AI Application development environment.
    It is specifically made for RZ/V2H Evaluation Board Kit with fixed Linux components.
    - (For more information, please refer to Getting Started and AI SDK.)
    + (For more information, please refer to Getting Started and AI SDK.)

    To modify Linux component, you need to build AI SDK from source code.
    AI SDK Source Code can generate the same Linux environment as AI SDK.
    @@ -656,7 +653,7 @@

    Introduction

    Requirement
      -
    1. Users have launched RZ/V2H Evaluation Board Kit according to Getting Started, which means they can run AI Application on the board.
      +
    2. Users have launched RZ/V2H Evaluation Board Kit according to Getting Started, which means they can run AI Application on the board.
    3. To build Yocto Linux, the below equipment should be prepared.

    @@ -728,7 +725,7 @@

    Step 2: Extract RZ/V2H AI SDK Source Code

    <path to the working directory>/ai_sdk_work
    - If not, please register the working directory path to an environment variable according to Step4: Extract RZ/V AI SDK package in Getting Started. + If not, please register the working directory path to an environment variable according to Step4: Extract RZ/V AI SDK package in Getting Started. @@ -797,35 +794,41 @@

    Step 3: Build RZ/V2H AI SDK Source Code

  • Run the following procedures to apply the patch file.
      -
    1. Apply patch files to fix link error.
      + +
    2. Get e-CAM22_CURZH camera driver (MIPI) from e-con Systems.
      The e-CAM22_CURZH camera driver (MIPI) used in AI SDK is not included in the RZ/V2H AI SDK Source Code. The required driver needs to be obtained through the following procedure.
        @@ -858,11 +861,10 @@

        Step 3: Build RZ/V2H AI SDK Source Code

        • If the above command prints followings, Yocto recipes are extracted correctly. + -
          0001-rz-common-recipes-debian-buster-glibc-update-to-v2.28-10+deb10u4.patch
          -0001-tesseract.patch
          +
          0001-tesseract.patch
           0002-sd-image-size-16gb.patch
          -61835_update_url_gst_common.patch
           e-CAM22_CURZ*.patch
           meta-econsys
           meta-gplv2
          @@ -875,16 +877,10 @@ 

          Step 3: Build RZ/V2H AI SDK Source Code

        - Note 1 + Note Evaluation version of Graphics Library has restriction on their running time.
        If you would like to use unrestricted version of Graphics Library, - please refer to Appendix 1: Build Graphics Library for Unrestricted Version.
        -
        -
        - Note 2 - Video Codec Library supports only H.264 Enc in AI SDK v4.00.
        - If you would like to use H.264 Dec and H.265 Enc/Dec function, - please refer to Appendix 3: Prepare Video Codec Library for H.264 Enc/Dec and H.265 Enc/Dec function.
        + please refer to Appendix 1: Build Graphics Library for Unrestricted Version.
      1. Initialize a build using the oe-init-build-env script in Poky and set environment variable TEMPLATECONF to the below path. @@ -914,7 +910,7 @@

        Step 3: Build RZ/V2H AI SDK Source Code

        Note The default size of the microSD card image created in this guide is approximately 16 GB.
        - If you would like to change the microSD card image size, please refer to Appendix 2: Change the size of the microSD card image in WIC format.
        + If you would like to change the microSD card image size, please refer to Appendix 2: Change the size of the microSD card image in WIC format.
      2. Run the following command to build the Linux kernel files.
        @@ -982,7 +978,7 @@

        Step 3: Build RZ/V2H AI SDK Source Code

        This is the end of how to build AI SDK Source Code.

        -

        You have prepared following files, which is same as the one provided in Step 3: Obtain RZ/V2H AI SDK in Getting Started, and you can run AI Applications according to Getting Started. +

        You have prepared following files, which is same as the one provided in Step 3: Obtain RZ/V2H AI SDK in Getting Started, and you can run AI Applications according to Getting Started.

  • @@ -1007,7 +1003,7 @@

    Note 2 @@ -1033,6 +1029,15 @@

    +
    + Note 4 + Regarding the eSD (Embedded SD) booting, please note the following: +
      +
    • The eSD boot procedure using microSD card described in this guide is for evaluation purposes only.
    • +
    • If you use the eSD boot, please implement the eSD on your board according to the standard "SD Specification Part 1 eSD Addendum (version 2.10)".
    • +
    • The reboot command cannot be used when using the eSD boot procedure using microSD card described in this guide.
    • +
    +


    If you have any questions about AI SDK Source Code,
    please add new issues to AI SDK GitHub issues.
    @@ -1041,7 +1046,7 @@

    @@ -1052,7 +1057,7 @@

    Appendix 1: Prepare Graphics Library for Unrestricted Version

    This section explains how to prepare Graphics Library for unrestricted version, intead of evaluation version.

    Note - Following instruction assumes that you have completed Step 3-6 in How to build RZ/V2H AI SDK Source Code. + Following instruction assumes that you have completed Step 3-6 in How to build RZ/V2H AI SDK Source Code.
    1. Download zip files from the link below. @@ -1097,14 +1102,14 @@

      Appendix 1: Prepare Graphics Library for Unrestricted Version

    -

    After this procedure, please proceed to Step 3-7 in How to build RZ/V2H AI SDK Source Code to start building Linux kernel files. +

    After this procedure, please proceed to Step 3-7 in How to build RZ/V2H AI SDK Source Code to start building Linux kernel files.

    Appendix 2: Change the size of the microSD card image in WIC format

    This section explains how to change the microSD card image size by changing the build settings of the WIC file.

    Note - Following instruction assumes that you have completed Step 3-10 in How to build RZ/V2H AI SDK Source Code. + Following instruction assumes that you have completed Step 3-10 in How to build RZ/V2H AI SDK Source Code.
    1. Open ${YOCTO_WORK}/build/conf/local.conf file in a text editor. @@ -1146,66 +1151,12 @@

      Appendix 2: Change the size of the microSD card image in WIC format<

    -

    After this procedure, please proceed to Step 3-11 in How to build RZ/V2H AI SDK Source Code to build the Linux kernel files. -

    - -

    Appendix 3: Prepare Video Codec Library for H.264 Enc/Dec and H.265 Enc/Dec function

    -

    This section explains how to prepare Video Codec Library for H.264 Enc/Dec and H.265 Enc/Dec function.

    -
    - Note - Following instruction assumes that you have completed Step 3-6 in How to build RZ/V2H AI SDK Source Code. -
    -
      -
    1. Download zip file from the link below. -

      - Download Link -
    2. -
      -
    3. After you downloaded the zip file, please move the zip file to "${WORK}/src_setup" on your Linux PC. -
      -
    4. -
      -
    5. Check that zip file are moved to appropriate location. - -
      cd ${WORK}/src_setup
      -ls -1 
      - -
        -
      • If the above command prints followings, the package is extracted correctly. - -
        README.txt
        -RTK0EF0192Z00001ZJ.zip
        -rzv2h_ai-sdk_yocto_recipe_v4.00.tar.gz
        -yocto
        - -
      • -
      -
    6. -
    7. Run the below command to delete current Video Codec Library and OpenCVA directories.
      - -
      rm -rf ${YOCTO_WORK}/meta-rz-features/meta-rz-codecs
      -rm -rf ${YOCTO_WORK}/meta-rz-features/meta-rz-opencva
      - -
    8. -
    9. Run the below command to extract the Video Codec Library for H.264 Enc/Dec and H.265 Enc/Dec function.
      - -
      unzip RTK0EF0192Z00001ZJ.zip
      -tar xvf RTK0EF0192Z00001ZJ/meta-rz-features.tar.gz -C ${YOCTO_WORK}
      - -
    10. -
    11. Run the below command to apply a patch file to add Video Codec Library.
      - -
      cd ${YOCTO_WORK}
      -patch -p1 -d meta-renesas < ${WORK}/src_setup/RTK0EF0192Z00001ZJ/0001-rzv2h-conf-r9a09g057-Add-hwcodec-to-MACHINE_FEATURE.patch
      - -
    12. -
    -

    After this procedure, please proceed to Step 3-7 in How to build RZ/V2H AI SDK Source Code to start building Linux kernel files. +

    After this procedure, please proceed to Step 3-11 in How to build RZ/V2H AI SDK Source Code to build the Linux kernel files.

    @@ -1216,6 +1167,6 @@

    Appendix 3: Prepare Video Codec Library for H.264 Enc/Dec and H.265

    - + diff --git a/docs/_site/howto_retrain.html b/docs/_site/howto_retrain.html index 39aaff3..8006c88 100755 --- a/docs/_site/howto_retrain.html +++ b/docs/_site/howto_retrain.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-08-07T12:06:46+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/howto_retrain.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -648,7 +645,7 @@

    Introduction

    - RZ/V AI Transfer Learning Tool (TLT) can re-train AI model used in RZ/V AI Applications with different datasets. + RZ/V AI Transfer Learning Tool (TLT) can re-train AI model used in RZ/V AI Applications with different datasets.

    @@ -1065,7 +1062,7 @@

    Installation procedures

    This chapter describes the installation procedure when using RZ/V AI Transfer Learning Tool alone.

    Note - If you use AI Navigator of e2 studio, the installation procedure is different, so please refer to AI Navigator Quick Start Guide. + If you use AI Navigator of e2 studio, the installation procedure is different, so please refer to AI Navigator Quick Start Guide.
    @@ -1146,7 +1143,7 @@

    Installation procedures


    Re-train the AI model

    -

    Once the installation is complete, you can retrain the model.

    +

    Once the installation is complete, you can retrain the model.

    Step 1: Create the TLT project

    @@ -1390,7 +1387,7 @@

    Uninstallation

    @@ -1402,6 +1399,6 @@

    Uninstallation

    - + diff --git a/docs/_site/index.html b/docs/_site/index.html index d762822..fc7b8df 100755 --- a/docs/_site/index.html +++ b/docs/_site/index.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebSite","dateModified":"2024-08-09T11:36:17+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","name":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -651,16 +648,53 @@

    2024.8.9
    - - This web page contains information about AI Applications and AI SDK v4.00, which is not the latest version.
    - Users are recommended to use the latest version in the following URL.
    - https://renesas-rz.github.io/rzv_ai_sdk/latest/ -
    +
      +
    • + RZ/V2H AI SDK v5.00 is now available.
      +
        +
      • + Supported DRP-AI TVM v2.3.0.
        +
      • +
      • + Updated RZ/V2H Linux BSP.
        +
      • +
      • + Updated RZ/V2H Graphics Library to v1.2.2.
        +
      • +
      • + Updated RZ/V2H Video Codec Library to v3.1.1.
        +
      • +
      • + Updated RZ/V2H OpenCV Accelerator to v1.10.
        +
      • +
      +
    • +
    + For more details, see RZ/V2H AI SDK Specification in RZ/V AI SDK Overview page.
    +
    +
    +
    + 2024.8.7 +
    +
      +
    • + RZ/V AI Transfer Learning Tool v4.00 is now available.
      +
        +
      • + Supported AI Applications v4.00 for RZ/V2H and RZ/V2L. +
      • +
      • + Supported 42 AI Applications. +
      • +
      +
    • +
    + For more details, see How to Re-train AI model.
    @@ -678,7 +712,7 @@

    Getting Started


    Getting Started is a complete guide to learn how to run AI Applications, which explains the procedure for setting up the development environment, compiling AI Applications, setting up the board and running AI Applications.

    -
    Get your target board now and GET STARTED.
    +
    Get your target board now and GET STARTED.
    Tutorial video will help you understand better.
    @@ -695,65 +729,65 @@

    AI Applications

    AI Applications provides the source code, pre-build application binary and pre-trained AI model objects,
    which allow you to select the application from various use cases, and run it on the board immediately.
    - To see the overview about AI Applications, please refer to About AI Applications page.
    + To see the overview about AI Applications, please refer to About AI Applications page.

    Choose the category of applications.

    @@ -776,7 +810,7 @@

    Download RZ/V2L AI Applications Demo

    - +

    Download RZ/V2H AI Applications Demo

    - +
    @@ -1179,6 +1213,6 @@

    Reference

    - + diff --git a/docs/_site/robots.txt b/docs/_site/robots.txt index 360b0c6..95d2a93 100755 --- a/docs/_site/robots.txt +++ b/docs/_site/robots.txt @@ -1 +1 @@ -Sitemap: https://renesas-rz.github.io/rzv_ai_sdk/4.00/sitemap.xml +Sitemap: https://renesas-rz.github.io/rzv_ai_sdk/5.00/sitemap.xml diff --git a/docs/_site/sitemap.xml b/docs/_site/sitemap.xml index 1670737..c4a819c 100644 --- a/docs/_site/sitemap.xml +++ b/docs/_site/sitemap.xml @@ -38,7 +38,7 @@ https://renesas-rz.github.io/rzv_ai_sdk/latest/getting_started.html -2024-05-31T18:21:25+09:00 +2024-08-09T11:36:17+09:00 https://renesas-rz.github.io/rzv_ai_sdk/latest/getting_started_v2h.html @@ -58,7 +58,7 @@ https://renesas-rz.github.io/rzv_ai_sdk/latest/howto_build_aisdk_v2h.html -2024-08-01T10:51:30+09:00 +2024-08-09T11:36:17+09:00 https://renesas-rz.github.io/rzv_ai_sdk/latest/howto_retrain.html @@ -66,7 +66,7 @@ https://renesas-rz.github.io/rzv_ai_sdk/latest/ -2024-08-07T12:06:46+09:00 +2024-08-09T11:36:17+09:00 https://renesas-rz.github.io/rzv_ai_sdk/latest/v2h-configuration.html diff --git a/docs/_site/v2h-configuration.html b/docs/_site/v2h-configuration.html index cae6a2b..105e462 100755 --- a/docs/_site/v2h-configuration.html +++ b/docs/_site/v2h-configuration.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-06-27T17:39:45+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/v2h-configuration.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -629,7 +626,7 @@

    This page explains the details of RZ/V2H AI SDK configurations.
    -To see the overview of RZ/V2H AI SDK, see RZ/V AI SDK Overview page.

    +To see the overview of RZ/V2H AI SDK, see RZ/V AI SDK Overview page.

    @@ -637,7 +634,7 @@
    - Target Version: 4.00 + Target Version: 5.00
    @@ -688,7 +685,7 @@

    Yocto Linux - Yocto version: 3.1.26 (Dunfell) + Yocto version: 3.1.31 (Dunfell)
    Kernel version: 5.10.145-cip17 @@ -749,7 +746,7 @@

    - This is used for H.264 encoding. + This is used for H.264 encoding/decoding and H.265 encoding/decoding.
    @@ -768,12 +765,11 @@

    Following table shows the list of drivers. - +
    +
    - + @@ -896,11 +892,11 @@
    H.264 - ✔
    Encoder only - - Has released as an indivisual package - work for AI SDK v4.00 (codec H.264/H.265).
    - See How to Build RZ/V2H AI SDK Appendix 3. + + + + + AI SDK v5.00 newly supports Decoder in addition to Encoder. @@ -909,6 +905,9 @@
    H.265 + + + @@ -920,7 +919,7 @@
    SSIF-2 TDM x8 - + @@ -932,7 +931,7 @@
    SPDIF x3 - + @@ -944,7 +943,7 @@
    ASRC(Asynchronous sample rate conversion) - + @@ -982,7 +981,7 @@
    WDT/4ch - + @@ -994,7 +993,7 @@
    RTC - + @@ -1008,7 +1007,7 @@
    ADC 12bitx8 - + @@ -1020,7 +1019,7 @@
    TSU - + @@ -1110,7 +1109,7 @@
    CANFD - + @@ -1122,7 +1121,7 @@
    RSCI-2 x10 - + @@ -1146,7 +1145,7 @@
    I2C x9 - + @@ -1158,7 +1157,7 @@
    I3C x1 - + @@ -1170,7 +1169,7 @@
    IRQ - + @@ -1182,7 +1181,7 @@
    NMI - + @@ -1194,7 +1193,7 @@
    GPIO - + @@ -1208,7 +1207,7 @@
    CPG - + @@ -1220,7 +1219,7 @@
    DMAC/80ch (16ch/unit * 5unit) - + @@ -1234,18 +1233,19 @@

    Limitations

    - Following functionalities are not supported in RZ/V2H AI SDK v4.00. + RZ/V2H AI SDK v5.00 has the following limitations.

    • - Reboot command *related to WDT in Driver list + RZ/V2H Linux BSP supports CPU/CA55 operation at 1.1 GHz, 1.5 GHz, 1.6 GHz, and 1.7 GHz. It does not support CPU/CA55 operation at 1.8 GHz.
    • - CPU 1.8GHz + When using the ISP equipped camera e-CAM22_CURZH, supported transfer size is only combinations with HD (1280x720), 30 fps, 2 cameras (Total access bytes = 1843200 x 30 x 2) or less.
    • - CPU Shutdown + Some AI models with frequent memory accesses may affect the performance of other LSI functions that access memory. + We are considering to improve this issue in the next release version.

    @@ -1254,7 +1254,7 @@

    @@ -1266,6 +1266,6 @@

    - + diff --git a/docs/_site/v2l-configuration.html b/docs/_site/v2l-configuration.html index 8076fca..75dddf5 100755 --- a/docs/_site/v2l-configuration.html +++ b/docs/_site/v2l-configuration.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-06-24T13:11:09+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/v2l-configuration.html"} - + @@ -44,7 +44,7 @@ - + @@ -59,10 +59,10 @@
    - + -

    Renesas
    RZ/V AI

    -

    4.00

    +

    Renesas
    RZ/V AI

    +

    5.00

    @@ -82,7 +82,7 @@

    Re

    @@ -92,12 +92,12 @@

    Re
    @@ -145,39 +145,39 @@

    - AI SDK + AI SDK
    - Getting Started + Getting Started
    - How to Build RZ/V2L AI SDK + How to Build RZ/V2L AI SDK
    - How to Build RZ/V2H AI SDK + How to Build RZ/V2H AI SDK
    - How to Re-train AI model + How to Re-train AI model
    - How to use GUI env. + How to use GUI env.

    - About AI Applications + About AI Applications
    - AI Applications + AI Applications @@ -495,43 +492,43 @@

    - Demo + Demo
    @@ -629,7 +626,7 @@

    This page explains the details of RZ/V2L AI SDK configurations.
    -To see the overview of RZ/V2L AI SDK, see RZ/V AI SDK Overview page.

    +To see the overview of RZ/V2L AI SDK, see RZ/V AI SDK Overview page.

    @@ -644,7 +641,7 @@
    Note - To see Linux driver information and more, please refer to each release note of package listed in RZ/V2L AI SDK Specification: Overview.
    + To see Linux driver information and more, please refer to each release note of package listed in RZ/V2L AI SDK Specification: Overview.

    @@ -763,7 +760,7 @@

    @@ -775,6 +772,6 @@
    - + diff --git a/docs/_site/version.html b/docs/_site/version.html index a5e8a99..89bcce4 100755 --- a/docs/_site/version.html +++ b/docs/_site/version.html @@ -23,17 +23,17 @@ - - + + +{"@context":"https://schema.org","@type":"WebPage","dateModified":"2024-05-31T15:36:47+09:00","description":"The best solution for starting your AI applications.","headline":"Renesas RZ/V AI","url":"https://renesas-rz.github.io/rzv_ai_sdk/5.00/version.html"} - + @@ -44,7 +44,7 @@ - + @@ -63,7 +63,10 @@

    Version List

    • - v4.00 (latest) + v5.00 (latest) +
    • +
    • + v4.00
    • v3.00 diff --git a/docs/about-applications.md b/docs/about-applications.md index 9ff1e3e..25bf0a5 100755 --- a/docs/about-applications.md +++ b/docs/about-applications.md @@ -173,7 +173,7 @@ git clone -b v1.00
      Example:
      - In R01_object_detection, change the define.h as shown below.
      + In R01_object_detection, change the define.h as shown below.
      Before {% highlight cpp %} #define CAM_IMAGE_WIDTH (640) @@ -193,7 +193,7 @@ git clone -b v1.00
      Example:
      - In R01_object_detection, change the define.h as shown below.
      + In R01_object_detection, change the define.h as shown below.
      Before {% highlight cpp %} const static std::string model_dir = "yolov3_onnx"; diff --git a/docs/ai-sdk.md b/docs/ai-sdk.md index 371e2e2..e3e570c 100755 --- a/docs/ai-sdk.md +++ b/docs/ai-sdk.md @@ -323,7 +323,7 @@ layout: default Provided as a 7z file. - Not provided in v4.00. + Not provided in v5.00. @@ -491,7 +491,7 @@ layout: default
    - Target Version: 4.00 + Target Version: 5.00
    @@ -504,7 +504,7 @@ layout: default RZ/V2H AI SDK configuration is as follows.
    diff --git a/docs/getting_started.md b/docs/getting_started.md index a0d641c..2e99d39 100755 --- a/docs/getting_started.md +++ b/docs/getting_started.md @@ -34,7 +34,7 @@ Its version varies depending on the supported board. RZ/V2H Evaluation Board Kit - RZ/V2H AI SDK v4.00 + RZ/V2H AI SDK v5.00 Learn more about the RZ/V series. @@ -576,7 +576,7 @@ docker build -t rzv2l_ai_sdk_image --build-arg SDK="/opt/poky/3.1.21" --build-ar
  • For RZ/V2H {% highlight shell%} -docker build -t rzv2h_ai_sdk_image --build-arg SDK="/opt/poky/3.1.26" --build-arg PRODUCT="V2H" . +docker build -t rzv2h_ai_sdk_image --build-arg SDK="/opt/poky/3.1.31" --build-arg PRODUCT="V2H" . {% endhighlight %}
  • @@ -673,7 +673,7 @@ In AI Appli
    - R01_object_detection + R01_object_detection
    @@ -710,13 +710,13 @@ In AI Appli Check the README.md document provided in application directory and follow the instruction in the chapter called "Application: Build Stage" (or similar) to build the application.

    Example:
    - In
    R01_object_detection application, follow the instruction here to generate the following application binary. + In R01_object_detection application, follow the instruction here to generate the following application binary.
    • object_detection
    - + @@ -767,14 +767,14 @@ cd /drp-ai_tvm/data git clone https://github.com/Ignitarium-Renesas/RZV2L_AiLibrary {% endhighlight %} -
    +
  • Move to the application directory. diff --git a/docs/getting_started_v2h.md b/docs/getting_started_v2h.md index ff6c78d..71672bd 100755 --- a/docs/getting_started_v2h.md +++ b/docs/getting_started_v2h.md @@ -18,7 +18,7 @@ RZ/V2H EVK Getting Started
    This page explains how to start-up the AI SDK on the RZ/V2H Evaluation Board Kit.
    -
    Supported version: RZ/V2H AI SDK v4.00
    +
    Supported version: RZ/V2H AI SDK v5.00
    Terminology @@ -135,6 +135,15 @@ RZ/V2H EVK Getting Started You can use Linux PC to format the microSD card and expand the kernel and the root filesystem using SD card reader.
    docker
    +
    + Note + Regarding the eSD (Embedded SD) booting, please note the following: +
      +
    • The eSD boot procedure using microSD card described in this guide is for evaluation purposes only.
    • +
    • If you use the eSD boot, please implement the eSD on your board according to the standard "SD Specification Part 1 eSD Addendum (version 2.10)".
    • +
    • The reboot command cannot be used when using the eSD boot procedure using microSD card described in this guide.
    • +
    +

    1. Setup RZ/V2H EVK

    microSD card needs to contain bootloaders, the Linux kernel and root filesystem to boot-up the board.
    @@ -362,7 +371,7 @@ sudo mkdir /mnt/sd/home/root/tvm

    Example:
    - In R01_object_detection application, follow the instruction in here to find files to be copied. + In R01_object_detection application, follow the instruction in here to find files to be copied.

    Use the following command to copy the files to root filesystem. @@ -484,7 +493,7 @@ sudo eject /dev/sdb

    Example:
    - For R01_object_detection application, follow the instruction here to run the application. + For R01_object_detection application, follow the instruction here to run the application.
    If you have successfully run the application, you will see following window on HDMI screen.

    diff --git a/docs/history.md b/docs/history.md index 3704ffe..894abf9 100755 --- a/docs/history.md +++ b/docs/history.md @@ -15,6 +15,39 @@ layout: default

    + +

    + RZ/V2H AI SDK v5.00 +

    +
    + 2024.8.9 +
    +
    +
      +
    • +
      RZ/V2H AI SDK v5.00 is released.
      +
        +
      • + Supported DRP-AI TVM v2.3.0.
        +
      • +
      • + Updated RZ/V2H Linux BSP.
        +
      • +
      • + Updated RZ/V2H Graphics Library to v1.2.2.
        +
      • +
      • + Updated RZ/V2H Video Codec Library to v3.1.1.
        +
      • +
      • + Updated RZ/V2H OpenCV Accelerator to v1.10.
        +
      • +
      +
    • +
    +
    + +

    RZ/V AI Transfer Learning Tool v4.00 diff --git a/docs/howto_build_aisdk_v2h.md b/docs/howto_build_aisdk_v2h.md index 40d3fb2..77d831f 100755 --- a/docs/howto_build_aisdk_v2h.md +++ b/docs/howto_build_aisdk_v2h.md @@ -12,7 +12,7 @@ layout: default

    This page explains how to build Linux with RZ/V2H AI SDK Source Code.
    -
    Supported version: RZ/V2H AI SDK v4.00
    +
    Supported version: RZ/V2H AI SDK v5.00

    Introduction

    @@ -183,35 +183,41 @@ tar zxvf ${WORK}/src_setup/rzv2h_ai-sdk_yocto_recipe_v*.tar.gz
  • Run the following procedures to apply the patch file.
      + +
    1. Get e-CAM22_CURZH camera driver (MIPI) from e-con Systems.
      The e-CAM22_CURZH camera driver (MIPI) used in AI SDK is not included in the RZ/V2H AI SDK Source Code. The required driver needs to be obtained through the following procedure.
        @@ -244,11 +250,10 @@ ls -1 ${YOCTO_WORK} {% endhighlight %}
        • If the above command prints followings, Yocto recipes are extracted correctly. + {% highlight shell%} -0001-rz-common-recipes-debian-buster-glibc-update-to-v2.28-10+deb10u4.patch 0001-tesseract.patch 0002-sd-image-size-16gb.patch -61835_update_url_gst_common.patch e-CAM22_CURZ*.patch meta-econsys meta-gplv2 @@ -261,17 +266,11 @@ poky
        - Note 1 + Note Evaluation version of Graphics Library has restriction on their running time.
        If you would like to use unrestricted version of Graphics Library, please refer to Appendix 1: Build Graphics Library for Unrestricted Version.
        -
        - Note 2 - Video Codec Library supports only H.264 Enc in AI SDK v4.00.
        - If you would like to use H.264 Dec and H.265 Enc/Dec function, - please refer to Appendix 3: Prepare Video Codec Library for H.264 Enc/Dec and H.265 Enc/Dec function.
        -
      1. Initialize a build using the oe-init-build-env script in Poky and set environment variable TEMPLATECONF to the below path. {% highlight shell%} @@ -393,7 +392,7 @@ You have prepared following files, which is same as the one provided in Note 1 For more Yocto Project information, please refer the link below:
        -
        https://docs.yoctoproject.org/3.1.26/brief-yoctoprojectqs/brief-yoctoprojectqs.html + https://docs.yoctoproject.org/3.1.31/brief-yoctoprojectqs/brief-yoctoprojectqs.html
  • Note 2 @@ -419,6 +418,15 @@ You have prepared following files, which is same as the one provided in
    +
    + Note 4 + Regarding the eSD (Embedded SD) booting, please note the following: +
      +
    • The eSD boot procedure using microSD card described in this guide is for evaluation purposes only.
    • +
    • If you use the eSD boot, please implement the eSD on your board according to the standard "SD Specification Part 1 eSD Addendum (version 2.10)".
    • +
    • The reboot command cannot be used when using the eSD boot procedure using microSD card described in this guide.
    • +
    +

    If you have any questions about AI SDK Source Code,
    please add new issues to AI SDK GitHub issues.
    @@ -535,60 +543,6 @@ IMAGE_ROOTFS_EXTRA_SPACE = "8388608" After this procedure, please proceed to
    Step 3-11 in How to build RZ/V2H AI SDK Source Code to build the Linux kernel files.

    -

    Appendix 3: Prepare Video Codec Library for H.264 Enc/Dec and H.265 Enc/Dec function

    -This section explains how to prepare Video Codec Library for H.264 Enc/Dec and H.265 Enc/Dec function.
    -
    - Note - Following instruction assumes that you have completed Step 3-6 in How to build RZ/V2H AI SDK Source Code. -
    -
      -
    1. Download zip file from the link below. -

      - Download Link -
    2. -
      -
    3. After you downloaded the zip file, please move the zip file to "${WORK}/src_setup" on your Linux PC. -
      -
    4. -
      -
    5. Check that zip file are moved to appropriate location. -{% highlight shell %} -cd ${WORK}/src_setup -ls -1 -{% endhighlight %} -
        -
      • If the above command prints followings, the package is extracted correctly. -{% highlight shell %} -README.txt -RTK0EF0192Z00001ZJ.zip -rzv2h_ai-sdk_yocto_recipe_v4.00.tar.gz -yocto -{% endhighlight %} -
      • -
      -
    6. -
    7. Run the below command to delete current Video Codec Library and OpenCVA directories.
      -{% highlight shell %} -rm -rf ${YOCTO_WORK}/meta-rz-features/meta-rz-codecs -rm -rf ${YOCTO_WORK}/meta-rz-features/meta-rz-opencva -{% endhighlight %} -
    8. -
    9. Run the below command to extract the Video Codec Library for H.264 Enc/Dec and H.265 Enc/Dec function.
      -{% highlight shell %} -unzip RTK0EF0192Z00001ZJ.zip -tar xvf RTK0EF0192Z00001ZJ/meta-rz-features.tar.gz -C ${YOCTO_WORK} -{% endhighlight %} -
    10. -
    11. Run the below command to apply a patch file to add Video Codec Library.
      -{% highlight shell %} -cd ${YOCTO_WORK} -patch -p1 -d meta-renesas < ${WORK}/src_setup/RTK0EF0192Z00001ZJ/0001-rzv2h-conf-r9a09g057-Add-hwcodec-to-MACHINE_FEATURE.patch -{% endhighlight %} -
    12. -
    -After this procedure, please proceed to Step 3-7 in How to build RZ/V2H AI SDK Source Code to start building Linux kernel files. -

    -
    diff --git a/docs/index.md b/docs/index.md index 734ebd7..7ee02a5 100755 --- a/docs/index.md +++ b/docs/index.md @@ -38,12 +38,49 @@ layout: default
    2024.8.9
    - - This web page contains information about AI Applications and AI SDK v{{ site.version }}, which is not the latest version.
    - Users are recommended to use the latest version in the following URL.
    -
    {{ site.url }}/rzv_ai_sdk/latest{% link index.md %} - +
      +
    • + RZ/V2H AI SDK v5.00 is now available.
      +
        +
      • + Supported DRP-AI TVM v2.3.0.
        +
      • +
      • + Updated RZ/V2H Linux BSP.
        +
      • +
      • + Updated RZ/V2H Graphics Library to v1.2.2.
        +
      • +
      • + Updated RZ/V2H Video Codec Library to v3.1.1.
        +
      • +
      • + Updated RZ/V2H OpenCV Accelerator to v1.10.
        +
      • +
      +
    • +
    + For more details, see RZ/V2H AI SDK Specification in RZ/V AI SDK Overview page.
    +
    +
    +
    + 2024.8.7 +
    +
      +
    • + RZ/V AI Transfer Learning Tool v4.00 is now available.
      +
        +
      • + Supported AI Applications v4.00 for RZ/V2H and RZ/V2L. +
      • +
      • + Supported 42 AI Applications. +
      • +
      +
    • +
    + For more details, see How to Re-train AI model.
    diff --git a/docs/v2h-configuration.md b/docs/v2h-configuration.md index 095fe06..9e6efac 100755 --- a/docs/v2h-configuration.md +++ b/docs/v2h-configuration.md @@ -23,7 +23,7 @@ To see the overview of RZ/V2H AI SDK, see
    - Target Version: 4.00 + Target Version: 5.00
    @@ -74,7 +74,7 @@ To see the overview of RZ/V2H AI SDK, see
    - This is used for H.264 encoding. + This is used for H.264 encoding/decoding and H.265 encoding/decoding.
    @@ -154,12 +154,11 @@ To see the overview of RZ/V2H AI SDK, see
    Note shows newly supported drivers.
    -
    --> +
    - + @@ -282,11 +281,11 @@ To see the overview of RZ/V2H AI SDK, see - Has released as an indivisual package - work for AI SDK v4.00 (codec H.264/H.265).
    - See
    How to Build RZ/V2H AI SDK Appendix 3. + + + + + AI SDK v5.00 newly supports Decoder in addition to Encoder. @@ -295,6 +294,9 @@ To see the overview of RZ/V2H AI SDK, see ✔ + + @@ -306,7 +308,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -318,7 +320,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -330,7 +332,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -368,7 +370,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -380,7 +382,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -394,7 +396,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -406,7 +408,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -496,7 +498,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -508,7 +510,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -532,7 +534,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -544,7 +546,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -556,7 +558,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -568,7 +570,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -580,7 +582,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -594,7 +596,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -606,7 +608,7 @@ To see the overview of RZ/V2H AI SDK, see @@ -620,18 +622,19 @@ To see the overview of RZ/V2H AI SDK, see Limitations

    - Following functionalities are not supported in RZ/V2H AI SDK v4.00. + RZ/V2H AI SDK v5.00 has the following limitations.

    • - Reboot command *related to WDT in Driver list + RZ/V2H Linux BSP supports CPU/CA55 operation at 1.1 GHz, 1.5 GHz, 1.6 GHz, and 1.7 GHz. It does not support CPU/CA55 operation at 1.8 GHz.
    • - CPU 1.8GHz + When using the ISP equipped camera e-CAM22_CURZH, supported transfer size is only combinations with HD (1280x720), 30 fps, 2 cameras (Total access bytes = 1843200 x 30 x 2) or less.
    • - CPU Shutdown + Some AI models with frequent memory accesses may affect the performance of other LSI functions that access memory. + We are considering to improve this issue in the next release version.

    diff --git a/docs/version.md b/docs/version.md index 77f1bf1..a293618 100755 --- a/docs/version.md +++ b/docs/version.md @@ -4,7 +4,10 @@ layout: version

    Version List