Deploy the Model
Once you have validated your trained model, let's take a look at an example of how this model can be deployed in your PC by following the tutorial Deploying to the PC.
If you have an NXP i.MX 8M Plus EVK you can also run your model directly on the device using the EdgeFirst Middleware by following the tutorial Deploying to Embedded Targets.
Additional Platforms
Support for additional platforms beyond the NXP i.MX 8M Plus will be available soon. Let us know which platform you'd like to see supported next!
If you have an EdgeFirst Platform such as the Maivin or Raivin then you can deploy and run the model using the bundled EdgeFirst Middleware by following the tutorial Deploying to EdgeFirst Platforms.
No Studio Costs
Deployment of Vision models will not cost any credits from Studio.
In this Quickstart guide, you have created your EdgeFirst Studio Account, logged in to EdgeFirst Studio, and created your very first project and ran your first experiment by capturing images and videos, annotating datasets, training a Vision model, validating the trained model, and deploying the model back into the PC, EdgeFirst Platform, or the i.MX 8M Plus EVK.
Next Steps
For these next steps, it is recommended to be familiar in navigating EdgeFirst Studio. Next, users are invited to follow along other various User Workflows that are tailored towards various hardware requirements and resources available to the user.