1. Podman with nvidia toolkit enabled
2. Python
3. Access to eluv-io repo via ssh key

python download_weights.py

ssh-add (on personal machine)

NOTE: if you are on a remote server, either you should have your ssh key on the remote server and run ssh-add there, or you should run it on your personal machine and verify that you are connected with agent forwarding enabled.

./build.sh

podman run --rm  --volume=$(pwd)/test:/elv/test:ro --volume=$(pwd)/models:/elv/models:ro --volume=$(pwd)/tags:/elv/tags --volume=$(pwd)/.cache:/root/.cache --network host --device nvidia.com/gpu=0 caption test/1.mp4 test/2.mp4

1. Note: you must mount the files to tag into the container storage (--volume=$(pwd)/test:/elv/test)
2. Tag files will appear in the tags directory (--volume=$(pwd)/tags:/elv/tags).

Edit the runtime/default section in config.yml

podman run --rm  --volume=$(pwd)/test:/elv/test:ro --volume=$(pwd)/models:/elv/models:ro --volume=$(pwd)/tags:/elv/tags --volume=$(pwd)/.cache:/root/.cache --network host --device nvidia.com/gpu=0 caption test/1.mp4 test/2.mp4 --config '{"fps": 2}'