Does TLT still need to apply for early access? I think Clara Train/Deploy SDK has opened to access, but when I follow this article:
and try to run this command:
docker run --runtime=nvidia -it -p 5000:5000 -v /path/to/save/model:/var/tmp/models -e NVIDIA_VISIBLE_DEVICES=0 nvcr.io/nvtltea/med/tlt-annotate:v0.1-py3 /bin/bash
It still shows:
docker: Error response from daemon: pull access denied for nvcr.io/nvtltea/med/tlt-annotate, repository does not exist or may require ‘docker login’: denied: requested access to the resource is denied.
Does the TLT still need to apply for the access? If so, I have submitted for approval some days ago, how long it will take to approve.
Or is there some other way to download the trained model or this library.
Thank you very much.