Vision and Sensing Application SDK
AI Model and PPL Import
Functional Specifications

TOC

1. Change history
2. Terms/Abbreviations
3. Reference materials
4. Expected use case
5. Functional overview/Algorithm
6. User interface specifications (Import AI model)
7. User interface specifications (Delete AI model)
8. User interface specifications (Import "PPL")
9. User interface specifications (Delete "PPL")
10. Target performances/Impact on performances
11. Assumption/Restriction
12. Remarks
13. Unconfirmed items

1. Change history

Date	What/Why
2023/01/30	Initial draft.
2023/05/26	Fixed the notation of tool names and parentheses. Changed the default value of `network_type`. Some environments do not render AsciiDoc’s Mermaid diagrams, so modified to rendered image references. Added alternate text to images.

2. Terms/Abbreviations

Terms/Abbreviations	Meaning
"PPL"	A module that processes the output of the AI model (Output Tensor) of edge AI devices
SAS	Shared Access Signatures URI that grant limited access to Azure storage resources

3. Reference materials

Reference/Related documents
- API Reference
  - https://developer.aitrios.sony-semicon.com/development-guides/reference/api-references/
- "Console Access Library" Functional Specifications
  - https://developer.aitrios.sony-semicon.com/development-guides/documents/specifications/

4. Expected use case

Import AI models created in your environment into "Console for AITRIOS"
Import created "PPL" into "Console for AITRIOS"
Check the import status of the AI model or "PPL"
Convert an AI model imported into "Console for AITRIOS" into a format that can be deployed to edge AI devices
Check AI model conversion state
Delete an AI model or "PPL" that has been imported into "Console for AITRIOS"

5. Functional overview/Algorithm

Functional overview

Users can use "Console Access Library" in the SDK’s Dev Container (Local PC or Codespaces)
- Users can do the following through the "Console Access Library":
  - Import AI models into "Console for AITRIOS"
    
    Use AI models supported by "Console for AITRIOS". See here.
    
    Must store AI models to Azure Blob Storage to import into "Console for AITRIOS"
  - Convert AI models imported into "Console for AITRIOS"
  - Import "PPL" into "Console for AITRIOS"
    
    Import the following "PPL":
    
    SDK supports ".wasm" (File not yet AOT compiled)

Extensions for "PPL" files that can be imported	SDK support
.wasm (File not yet AOT compiled)	Yes
.aot (AOT compiled file)	No

Flow

flowchart TD;
    %% definition
    classDef object fill:#FFE699, stroke:#FFD700
    classDef external_service fill:#BFBFBF, stroke:#6b8e23, stroke-dasharray: 10 2
    style legend fill:#FFFFFF,stroke:#000000

    %% impl
    subgraph legend["Legend"]
        process(Processing/User behavior)
    end

Loading

Import AI model

Flow

flowchart TD
    %% definition
    classDef object fill:#FFE699, stroke:#FFD700

    start((Start))
    id2(Run the notebook for system client authentication)
    id3(Run the notebook to get AI model list)
    id4(Create and edit the configuration file for running the notebook to import AI model)
    id5(Run the notebook to import AI model)
    finish(((Finish)))

    %% impl
    start --> id2
    id2 --> id3
    id3 --> id4
    id4 --> id5
    id5 --> finish

Loading

Flow details
1. Run the notebook for system client authentication
2. Run the notebook to get AI model list
  - Run the notebook to get a list of AI models that have been imported into "Console for AITRIOS", and get settings in the configuration file, model_id.
    
    Assume the following case
    
    Upgrade an AI model that has already been imported into "Console for AITRIOS"
    
    Check the AI model import status of "Console for AITRIOS"
    
    Check the conversion status of the AI model in "Console for AITRIOS"
3. Create and edit the configuration file for running the notebook to import AI model
  - Create and edit the configuration file configuration.json to configure notebook runtime settings
4. Run the notebook to import AI model
  - Run the notebook with the following features:
    
    Imports AI models into "Console for AITRIOS"
    
    Checks the AI model import status of "Console for AITRIOS"
    
    Converts an AI model imported into "Console for AITRIOS"
    
    Checks AI model conversion state.

Delete AI model

Flow

flowchart TD
    %% definition
    classDef object fill:#FFE699, stroke:#FFD700

    start((Start))
    id1(Run the notebook for system client authentication)
    id2(Run the notebook to get AI model list)
    id3(Create and edit the configuration file for running the notebook to delete AI model)
    id4(Run the notebook to delete AI model)
    finish(((Finish)))

    %% impl
    start --> id1
    id1 --> id2
    id2 --> id3
    id3 --> id4
    id4 --> finish

Loading

Flow details
1. Run the notebook for system client authentication
2. Run the notebook to get AI model list
  - Run the notebook to get a list of AI models that have already been imported into "Console for AITRIOS", and get settings in the configuration file, model_id.
3. Create and edit the configuration file for running the notebook to delete AI model
  - Create and edit the configuration file configuration.json to configure notebook runtime settings
4. Run the notebook to delete AI model
  - Run the notebook to delete the AI model from "Console for AITRIOS"

Import "PPL"

Flow

flowchart TD
    %% definition
    classDef object fill:#FFE699, stroke:#FFD700

    start((Start))
    id1(Prepare PPL to import)
    id2(Run the notebook for system client authentication)
    id3(Run the notebook to get PPL list)
    id4(Create and edit the configuration file for running the notebook to import PPL)
    id5(Run the notebook to import PPL)
    finish(((Finish)))

    %% impl
    start --> id1
    id1 --> id2
    id2 --> id3
    id3 --> id4
    id4 --> id5
    id5 --> finish

Loading

Flow details
1. Prepare "PPL" to import
  - Store the "PPL" to import into the SDK runtime environment
2. Run the notebook for system client authentication
3. Run the notebook to get "PPL" list
  - Run the notebook to get a list of "PPL" that have already been imported into "Console for AITRIOS", and get settings in the configuration file, app_name and version_number.
    
    Assume the following case
    
    Check the "PPL" import status of "Console for AITRIOS"
4. Create and edit the configuration file for running the notebook to import "PPL"
  - Create and edit the configuration file configuration.json to configure notebook runtime settings
5. Run the notebook to import "PPL"
  - Run the notebook with the following features:
    
    Encodes "PPL" in Base64 format
    
    Imports "PPL" into "Console for AITRIOS"
    
    Checks the "PPL" import status of "Console for AITRIOS"

Delete "PPL"

Flow

flowchart TD
    %% definition
    classDef object fill:#FFE699, stroke:#FFD700

    start((Start))
    id1(Run the notebook for system client authentication)
    id2(Run the notebook to get PPL list)
    id3(Create and edit the configuration file for running the notebook to delete PPL)
    id4(Run the notebook to delete PPL)
    finish(((Finish)))

    %% impl
    start --> id1
    id1 --> id2
    id2 --> id3
    id3 --> id4
    id4 --> finish

Loading

Flow details
1. Run the notebook for system client authentication
2. Run the notebook to get "PPL" list
  - Run the notebook to get a list of "PPL" that have already been imported into "Console for AITRIOS", and get settings in the configuration file, app_name and version_number.
3. Create and edit the configuration file for running the notebook to delete "PPL"
  - Create and edit the configuration file configuration.json to configure notebook runtime settings
4. Run the notebook to delete "PPL"
  - Run the notebook to delete the "PPL" from "Console for AITRIOS"

Sequence

Import AI model

%%{init:{'themeCSS':'text.actor {font-size:18px !important;} .messageText {font-size:18px !important;} .loopText {font-size:18px !important;} .noteText {font-size:18px !important;}'}}%%
sequenceDiagram
  participant user as User
  participant container as Dev Container
  participant console as Console<br>for AITRIOS

  user->>container: Run the notebook <br> for system client authentication
  opt Run arbitrarily
    user->>container: Run the notebook <br> to get AI model list
  end
  user->>container: Create and edit <br> the configuration file <br> for running the notebook <br> to import AI model
  user->>container: Run the notebook <br> to import AI model <br> (Cell to import AI model)

  container->>console: Run the API <br> to import AI model
  console-->>container: Response
  container-->>user: Results

  user->>container: Run the notebook <br> to import AI model <br> (Cell to check <br> AI model import results)
  container->>console: Run the API <br> to get AI model information
  console-->>container: Response
  container-->>user: Results

  user->>container: Run the notebook <br> to import AI model <br> (Cell to convert AI model)
  container->>+console: Run the API <br> to convert AI model
  console-->>container: Response
  container-->>user: Results
  Note over container, console: AI model conversion <br> runs on Console for AITRIOS <br> and may wait tens of minutes <br> after response is returned

  opt Run arbitrarily multiple times
    user->>container: Run the notebook <br> to import AI model <br> (Cell to check <br> AI model conversion state)
    container->>console: Run the API <br> to get the status <br> of AI model conversion
    console-->>-container: Response
    container-->>user: Results
  end

Loading

Delete AI model

%%{init:{'themeCSS':'text.actor {font-size:18px !important;} .messageText {font-size:18px !important;} .loopText {font-size:18px !important;} .noteText {font-size:18px !important;}'}}%%
sequenceDiagram
  participant user as User
  participant container as Dev Container
  participant console as Console<br>for AITRIOS

  user->>container: Run the notebook <br> for system client authentication
  user->>container: Run the notebook <br> to get AI model list
  user->>container: Create and edit <br> the configuration file <br> for running the notebook <br> to delete AI model
  user->>container: Run the notebook <br> to delete AI model

  container->>console: Run the API <br> to delete AI model
  console-->>container: Response
  container-->>user: Results

Loading

Import "PPL"

%%{init:{'themeCSS':'text.actor {font-size:18px !important;} .messageText {font-size:18px !important;} .loopText {font-size:18px !important;} .noteText {font-size:18px !important;}'}}%%
sequenceDiagram
  participant user as User
  participant container as Dev Container
  participant console as Console<br>for AITRIOS

  user->>container: Prepare PPL to import
  user->>container: Run the notebook <br> for system client authentication

  opt Run arbitrarily
    user->>container: Run the notebook <br> to get PPL list
  end  user->>container: Create and edit <br> the configuration file <br> for running the notebook <br> to import PPL
  user->>container: Run the notebook <br> to import PPL <br> (Cell to import PPL)

  container->>container: Encode PPL in Base64 format
  container->>console: Run the API <br> to import PPL
  console-->>container: Response
  container-->>user: Results

  opt Run arbitrarily multiple times
    user->>container: Run the notebook <br> to import PPL <br> (Cell to check <br> PPL import results)
    container->>console: Run the API <br> to get PPL information
    console-->>container: Response
    container-->>user: Results
  end

Loading

Delete "PPL"

%%{init:{'themeCSS':'text.actor {font-size:18px !important;} .messageText {font-size:18px !important;} .loopText {font-size:18px !important;} .noteText {font-size:18px !important;}'}}%%
sequenceDiagram
  participant user as User
  participant container as Dev Container
  participant console as Console<br>for AITRIOS

  user->>container: Run the notebook <br> for system client authentication
  user->>container: Run the notebook <br> to get PPL list
  user->>container: Create and edit <br> the configuration file <br> for running the notebook <br> to delete PPL
  user->>container: Run the notebook <br> to delete PPL

  container->>console: Run the API <br> to delete PPL
  console-->>container: Response
  container-->>user: Results

Loading

6. User interface specifications (Import AI model)

Prerequisite

You have registered as a user through "Portal for AITRIOS" and participated in the AITRIOS project
You have prepared an AI model
You have uploaded an AI model to Azure Blob Storage and gotten its SAS URI

How to start each function

Launch the SDK environment and preview the README.md in the top directory
Jump to the README.md in the tutorials directory from the hyperlink in the SDK environment top directory
Jump to the README.md in the 3_prepare_model directory from the hyperlink in the README.md in the tutorials directory
Jump to the README.md in the develop_on_sdk directory from the hyperlink in the README.md in the 3_prepare_model directory
Jump to the README.md in the 3_import_to_console directory from the hyperlink in the README.md in the develop_on_sdk directory
Jump to each feature from each file in the 3_import_to_console directory

Run the notebook for system client authentication

Jump to the README.md in the set_up_console_client directory from the hyperlink in the README.md in the 3_import_to_console directory
Open the notebook for system client authentication, *.ipynb, in the set_up_console_client directory, and run the python scripts in it

Run the notebook to get AI model list

Jump to the README.md in the get_model_list directory from the hyperlink in the README.md in the 3_import_to_console directory
Open the notebook to get AI model list, *.ipynb, in the get_model_list directory, and run the python scripts in it

Create and edit the configuration file for running the notebook to import AI model

Note	All parameters are required, unless otherwise indicated.

Note	The parameters passed to the "Console Access Library" API are as specified in the "Console Access Library" API.

Create and edit the configuration file, configuration.json, in the execution directory.

Configuration	Meaning	Range	Remarks
`model_id`	ID of AI model to import If it is a new ID, it is newly registered. Upgrade if it is a registered ID.	String Details follow the "Console Access Library" API specification.	Don’t abbreviate Used for the following "Console Access Library" API. `ai_model.ai_model.AIModel.import_base_model` `ai_model.ai_model.AIModel.get_base_model_status` `ai_model.ai_model.AIModel.publish_model`
`model`	SAS URI for AI model to import	SAS URI format Details follow the "Console Access Library" API specification.	Don’t abbreviate Used for the following "Console Access Library" API. `ai_model.ai_model.AIModel.import_base_model`
`converted`	Option to indicate converted	true or false Details follow the "Console Access Library" API specification.	Optional If omitted, specify false Used for the following "Console Access Library" API. `ai_model.ai_model.AIModel.import_base_model`
`vendor_name`	Vendor name (specify for new registration)	String Details follow the "Console Access Library" API specification.	Optional If omitted, no vendor name Used for the following "Console Access Library" API. `ai_model.ai_model.AIModel.import_base_model`
`comment`	AI model and version description AI model and version description for new registrations, Set as description of version when upgrading	String Details follow the "Console Access Library" API specification.	Optional If omitted, no description Used for the following "Console Access Library" API. `ai_model.ai_model.AIModel.import_base_model`
`network_type`	Network type	String Details follow the "Console Access Library" API specification.	Optional Specify only for new registration If omitted, specify "0" Used for the following "Console Access Library" API. `ai_model.ai_model.AIModel.import_base_model`
`labels`	Label name For Custom Vision, set the contents of the label.txt file that comes with the AI model file	["label01","label02","label03"] Details follow the "Console Access Library" API specification.	Optional Used for the following "Console Access Library" API. `ai_model.ai_model.AIModel.import_base_model`

Run the notebook to import AI model

Open the notebook, import_to_console.ipynb, in the 3_import_to_console directory, and run the python scripts in it
- The scripts do the following:
  - Checks that configuration.json exists in the 3_import_to_console directory
    
    If an error occurs, the error description is displayed and running is interrupted.
  - Checks the contents of configuration.json
    
    If an error occurs, the error description is displayed and running is interrupted.
  - Runs the API to import AI model
    
    If the import is successful, import_to_console.ipynb displays a successful message
  - Runs the API to check AI model import results
    
    If the AI model information is successfully gotten, import_to_console.ipynb displays a successful message and the gotten status
  - Runs the API to convert AI model
    
    If the API execution is successful, import_to_console.ipynb displays a successful message
    
    It takes several tens of minutes to complete conversion of the AI model, so checks AI model conversion state
  - Runs the API to check AI model conversion state
    
    If the conversion status of the AI model information is successfully gotten, import_to_console.ipynb displays a successful message and the gotten status
- If an error occurs, the error description is displayed in the import_to_console.ipynb and running is interrupted.
  - See "Cloud SDK Console Access Library (Python) Functional Specifications" for details on errors and response times

7. User interface specifications (Delete AI model)

Prerequisite

You have registered as a user through "Portal for AITRIOS" and participated in the AITRIOS project
You have imported AI model into "Console for AITRIOS"

How to start each function

Launch the SDK environment and preview the README.md in the top directory
Jump to the README.md in the tutorials directory from the hyperlink in the SDK environment top directory
Jump to the README.md in the 3_prepare_model directory from the hyperlink in the README.md in the tutorials directory
Jump to the README.md in the develop_on_sdk directory from the hyperlink in the README.md in the 3_prepare_model directory
Jump to the README.md in the delete_model_on_console directory from the hyperlink in the README.md in the develop_on_sdk directory
Jump to each feature from each file in the delete_model_on_console directory

Run the notebook for system client authentication

Jump to the README.md in the set_up_console_client directory from the hyperlink in the README.md in the delete_model_on_console directory
Open the notebook for system client authentication, *.ipynb, in the set_up_console_client directory, and run the python scripts in it

Run the notebook to get AI model list

Jump to the README.md in the get_model_list directory from the hyperlink in the README.md in the delete_model_on_console directory
Open the notebook to get AI model list, *.ipynb, in the get_model_list directory, and run the python scripts in it

Create and edit the configuration file for running the notebook to delete AI model

Note	All parameters are required, unless otherwise indicated.

Note	The parameters passed to the "Console Access Library" API are as specified in the "Console Access Library" API.

Create and edit the configuration file, configuration.json , in the execution directory.

Configuration	Meaning	Range	Remarks
`model_id`	ID of AI model to delete	String Details follow the "Console Access Library" API specification.	Don’t abbreviate Used for the following "Console Access Library" API. `ai_model.ai_model.AIModel.delete_model`

Run the notebook to delete AI model

Open the notebook, delete_model_on_console.ipynb, in the delete_model_on_console directory, and run the python scripts in it
- The scripts do the following:
  - Checks that configuration.json exists in the delete_model_on_console directory
    
    If an error occurs, the error description is displayed and running is interrupted.
  - Checks the contents of configuration.json
    
    If an error occurs, the error description is displayed and running is interrupted.
  - Runs the API to delete AI model
    
    If the deletion is successful, delete_model_on_console.ipynb displays a successful message
- If an error occurs, the error description is displayed in the delete_model_on_console.ipynb and running is interrupted.
  - See "Cloud SDK Console Access Library (Python) Functional Specifications" for details on errors and response times

8. User interface specifications (Import "PPL")

Prerequisite

You have registered as a user through "Portal for AITRIOS" and participated in the AITRIOS project
You have prepared "PPL"

How to start each function

Launch the SDK environment and preview the README.md in the top directory
Jump to the README.md in the tutorials directory from the hyperlink in the SDK environment top directory
Jump to the 4_prepare_application directory from the hyperlink in the README.md in the tutorials directory
Jump to the README.md in the 2_import_to_console directory from the hyperlink in the README.md in the 4_prepare_application directory
Jump to each feature from each file in the 2_import_to_console directory

Prepare "PPL" to import

Prepare a "PPL" to import and store it in any directory

Run the notebook for system client authentication

Jump to the README.md in the set_up_console_client directory from the hyperlink in the README.md in the 2_import_to_console directory
Open the notebook for system client authentication, *.ipynb, in the set_up_console_client directory, and run the python scripts in it

Run the notebook to get "PPL" list

Jump to the README.md in the get_application_list directory from the hyperlink in the README.md in the 2_import_to_console directory
Open the notebook to get "PPL" list, *.ipynb, in the get_application_list directory, and run the python scripts in it

Create and edit the configuration file for running the notebook to import "PPL"

Note	All parameters are required, unless otherwise indicated.

Note	Do not use symbolic links to files and directories.

Note	The parameters passed to the "Console Access Library" API are as specified in the "Console Access Library" API.

Create and edit the configuration file, configuration.json, in the execution directory.

Configuration	Meaning	Range	Remarks
`app_name`	"PPL" name	String Details follow the "Console Access Library" API specification.	Don’t abbreviate Used for the following "Console Access Library" API. `deployment.deployment.Deployment.import_device_app`
`version_number`	"PPL" version	String Details follow the "Console Access Library" API specification.	Don’t abbreviate Used for the following "Console Access Library" API. `deployment.deployment.Deployment.import_device_app`
`ppl_file`	"PPL" file path	Absolute path or relative to the notebook (*.ipynb)	Don’t abbreviate
`comment`	"PPL" description	String Details follow the "Console Access Library" API specification.	Optional If omitted, no comment Used for the following "Console Access Library" API. `deployment.deployment.Deployment.import_device_app`

Run the notebook to import "PPL"

Open the notebook, import_to_console.ipynb, in the 2_import_to_console directory, and run the python scripts in it
- The scripts do the following:
  - Checks that configuration.json exists in the 2_import_to_console directory
    
    If an error occurs, the error description is displayed and running is interrupted.
  - Checks the contents of configuration.json
    
    If an error occurs, the error description is displayed and running is interrupted.
  - Encodes "PPL" in Base64 format
    
    If an error occurs, the error description is displayed and running is interrupted.
  - Runs the API to import "PPL"
    
    If the import is successful, import_to_console.ipynb displays a successful message
  - Runs the API to check "PPL" import results
    
    If the "PPL" information is successfully gotten, import_to_console.ipynb displays a successful message and the gotten status
- If an error occurs, the error description is displayed in the import_to_console.ipynb and running is interrupted.
  - See "Cloud SDK Console Access Library (Python) Functional Specifications" for details on errors and response times

9. User interface specifications (Delete "PPL")

Prerequisite

You have registered as a user through "Portal for AITRIOS" and participated in the AITRIOS project
You have imported "PPL" into "Console for AITRIOS"

How to start each function

Launch the SDK environment and preview the README.md in the top directory
Jump to the README.md in the tutorials directory from the hyperlink in the SDK environment top directory
Jump to the 4_prepare_application directory from the hyperlink in the README.md in the tutorials directory
Jump to the README.md in the delete_application_on_console directory from the hyperlink in the README.md in the 4_prepare_application directory
Jump to each feature from each file in the delete_application_on_console directory

Run the notebook for system client authentication

Jump to the README.md in the set_up_console_client directory from the hyperlink in the README.md in the delete_application_on_console directory
Open the notebook for system client authentication, *.ipynb, in the set_up_console_client directory, and run the python scripts in it

Run the notebook to get "PPL" list

Jump to the README.md in the get_application_list directory from the hyperlink in the README.md in the delete_application_on_console directory
Open the notebook to get "PPL" list, *.ipynb, in the get_application_list directory, and run the python scripts in it

Create and edit the configuration file for running the notebook to delete "PPL"

Note	All parameters are required, unless otherwise indicated.

Note	The parameters passed to the "Console Access Library" API are as specified in the "Console Access Library" API.

Create and edit the configuration file, configuration.json, in the execution directory.

Configuration	Meaning	Range	Remarks
`app_name`	"PPL" name	String Details follow the "Console Access Library" API specification.	Don’t abbreviate Used for the following "Console Access Library" API. `deployment.deployment.Deployment.delete_device_app`
`version_number`	"PPL" version	String Details follow the "Console Access Library" API specification.	Don’t abbreviate Used for the following "Console Access Library" API. `deployment.deployment.Deployment.delete_device_app`

Run the notebook to delete "PPL"

Open the notebook, delete_application_on_console.ipynb, in the delete_application_on_console directory, and run the python scripts in it
- The scripts do the following:
  - Checks that configuration.json exists in the delete_application_on_console directory
    
    If an error occurs, the error description is displayed and running is interrupted.
  - Checks the contents of configuration.json
    
    If an error occurs, the error description is displayed and running is interrupted.
  - Runs the API to delete "PPL"
    
    If the deletion is successful, delete_application_on_console.ipynb displays a successful message
- If an error occurs, the error description is displayed in the delete_application_on_console.ipynb and running is interrupted.
  - See "Cloud SDK Console Access Library (Python) Functional Specifications" for details on errors and response times

10. Target performances/Impact on performances

Usability
- When the SDK environment is built, AI models and "PPL" can be imported into "Console for AITRIOS" without any additional installation steps
UI response time of 1.2 seconds or less
If processing takes more than 5 seconds, indicates that processing is in progress with successive updates

11. Assumption/Restriction

If you cancel and restart an encoding or import process, start each process from the beginning instead of resuming in the middle

12. Remarks

None

13. Unconfirmed items

None

Files

VisionandSensingApplicationSDK_FuncSpec_ModelAndPPLImport.adoc

Latest commit

History

VisionandSensingApplicationSDK_FuncSpec_ModelAndPPLImport.adoc

File metadata and controls

Vision and Sensing Application SDK AI Model and PPL Import Functional Specifications

1. Change history

2. Terms/Abbreviations

3. Reference materials

4. Expected use case

5. Functional overview/Algorithm

Functional overview

Flow

Import AI model

Delete AI model

Import "PPL"

Delete "PPL"

Sequence

Import AI model

Delete AI model

Import "PPL"

Delete "PPL"

6. User interface specifications (Import AI model)

Prerequisite

How to start each function

Run the notebook for system client authentication

Run the notebook to get AI model list

Create and edit the configuration file for running the notebook to import AI model

Run the notebook to import AI model

7. User interface specifications (Delete AI model)

Prerequisite

How to start each function

Run the notebook for system client authentication

Run the notebook to get AI model list

Create and edit the configuration file for running the notebook to delete AI model

Run the notebook to delete AI model

8. User interface specifications (Import "PPL")

Prerequisite

How to start each function

Prepare "PPL" to import

Run the notebook for system client authentication

Run the notebook to get "PPL" list

Create and edit the configuration file for running the notebook to import "PPL"

Run the notebook to import "PPL"

9. User interface specifications (Delete "PPL")

Prerequisite

How to start each function

Run the notebook for system client authentication

Run the notebook to get "PPL" list

Create and edit the configuration file for running the notebook to delete "PPL"

Run the notebook to delete "PPL"

10. Target performances/Impact on performances

11. Assumption/Restriction

12. Remarks

13. Unconfirmed items

Vision and Sensing Application SDK
AI Model and PPL Import
Functional Specifications