To test AME in a realistic setting before the first release we should build an ML project using AME. Ideally this should be done in a remote deployment in GCP with mixed CPU and GPU workflows. Implementing a simple image classifier based on stream recordings seems like the best option at the moment.
Acceptance criteria:
To test AME in a realistic setting before the first release we should build an ML project using AME. Ideally this should be done in a remote deployment in GCP with mixed CPU and GPU workflows. Implementing a simple image classifier based on stream recordings seems like the best option at the moment.
Acceptance criteria: