You're ready to deploy your model to a live camera!
Before you get started, be sure that you have an un-deployed version of your model prepped with a labeled data set and ready to go.
In the ML tab, select your model.
In your model's "Deployment" tab, click "New Deployment"
Select the Model Version you want to deploy.
Optionally, use the "Pre-select Cameras from a previous deployment" drop-down if you wish to deploy to cameras that were already used in a previous version. This will automatically select the cameras used in that version. You will be able to add additional cameras in the next step.
Click "Continue to Select Cameras for Deployment"
Select the cameras you want to deploy your model to. If you want to run multiple versions of the model simultaneously on a camera, check the "Run this model version simultaneously with camera's current version" checkbox.
Click "Continue to Advanced Configuration". Set the labels you want to deploy and various stream settings.
Click "Continue to Deployment Check". This step checks the available resources on your node prior to deploying.
The Deployment Check will display an indicator of your node's resource status
A yellow status circle indicates that the node is low on resources.
A green status circle indicates that the node has enough resources for deployment.
Click "Save & Deploy" to deploy this version.
Once deployed, it will take a few minutes for the model to start up and begin detections. Click the "View" link under the Actions column to see any detections from your video stream.