Nuclio Icevision

This repo builds a base image ghcr.io/greenroom-robotics/nuclio_icevision:latest which is used to conveniently run icevision Object Detection models in Nuclio / CVAT. It allows you to configure the model checkpoint_path from your nuclio function.yml

Usage

• Use icevision-from-checkpoint as a reference example
• Modify/create your own as you see fit. Note the checkpoint_path
• Deploy it:

nuctl deploy --project-name cvat \
  --path example/icevision-from-checkpoint \
  --platform local

Development

Get started

In order to develop you'll want a nuclio instance running on your local machine...

• docker-compose up to start nuclio.
• ./scripts/build.sh to build ghcr.io/greenroom-robotics/nuclio_icevision:latest
• Deploy the example to your nuclio instance:

nuctl deploy --project-name cvat \
  --path example/icevision-from-checkpoint \
  --platform local

Run tests

• ./scripts/build.sh && docker run ghcr.io/greenroom-robotics/nuclio_icevision:latest to build and run pytests

Release a version

• Run the Release workflow on github