Deploying the package

This page describes how to deploy an out-of-the-box Computer Vision ML package.

Creating the ML package

To create a Computer Vision ML package, select the AI Center service from the left navigation bar, create a new project or access an existing one, and then select ML Packages.

For offline installation

Select Upload zip file.
Under Package name, enter a package name.
Under Upload package, upload the Computer Vision ML package as a .zip file.
To do so, you need to download the cv-ondemand.tar.gz bundle. For further details, go here.
Under Input type, select Json from the drop-down menu.
Under Language, select the corresponding Python language from the drop-down menu.
Enable the Recommend GPU toggle button.
Select Create.

For online installation

Select Out of the box Packages.
Select UiPath Computer Vision.
Select ComputerVision.
Under Choose Package Version, select a package version from the drop-down menu.
Select Submit.

Creating the ML skill

In the same project that you created the ML package, you need to:

Go to ML Skills.
Select Create new.
Under Name, enter a name for the ML skill.
Under Choose Package, select the ML package you just created from the drop-down menu.
Under Choose package major version, select a major version from the drop-down menu.
Under Choose package minor version, select a minor version from the drop-down menu.
Enable the Enable GPU toggle button.
Enable the Make ML Skill Public toggle button.
Select Create.
Once the ML skill is available, this can take up to 30 minutes, select the ML skill and copy the Url.

Changing the endpoints on activity level

On activity level in your UiPath Studio project, you need to change:

the URL property value of the CV Screen Scope activity, and
the Endpoint property value of the UiPath Screen OCR activity

to the URL of the ML skill.

Changing the endpoints on project level

The default URLs can also be changed from the Project Settings page.

Changing the endpoint for CV Screen Scope

To change the endpoint for CV Screen Scope, go to UiPath Studio > your project > Project Settings > Computer Vision > CV Screen Scope > Server > Run value/Debug value > change https://cv.uipath.com to the URL of the ML skill.

When Local Server is set to True, the ML skill is over-written.

Changing the endpoint for UiPath Screen OCR

To change the endpoint for UiPath Screen OCR, go to UiPath Studio > your project > Project Settings > OCR > UiPath Screen OCR > Endpoint > Run value/Debug value > change https://ocr.uipath.com to the URL of the ML skill.