Docker image for RAI #376
Labels
enhancement
New feature or request
help wanted
Extra attention is needed
priority/minor
Lower-priority tasks that can be picked up when time allows or planned for later.
Is your feature request related to a problem? Please describe.
The current setup process for RAI is challenging, particularly when it comes to resolving Python compatibility issues and dependencies. Users who attempt to set up RAI in alternative environments, such as Conda or standalone Python configurations, face significant hurdles, leading to excessive time spent troubleshooting. This creates a barrier to integrating RAI with other frameworks like LeRobot.
Describe the solution you'd like
A Docker image or a simplified Dockerfile should be provided to enable seamless RAI setup. This image should mirror the tested environment used in RAI's CI pipelines, ensuring compatibility and reliability. Hosting the built Docker image on a public registry (e.g., Docker Hub) would further simplify the process for users by allowing them to pull and use the image directly.
Since RAI's dependencies change often, the hosted docker image should be updated often, perhaps using Jenkins or other solutions
Describe alternatives you've considered
Additional context
This Docker-based solution would significantly reduce the time and effort required for users to get started with RAI. A public Dockerfile would also aid advanced users who wish to adapt the environment for their unique setups. Including this Docker image in RAI's official documentation would enhance user accessibility and streamline the onboarding process.
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