4th NOAA Workshop on Leveraging AI in Environmental Sciences has ended
The interactive workshop will be a virtual event to build collaboration and initiate the active development of AI-powered applications and community standards.

We invite developers, data scientists, domain experts, social scientists, and downstream users to form small teams around different use cases that are relevant to three themes relevant to NOAA Mission Areas: Fire Weather and Impacts, AI for Ocean Conservation, and Interoperable Digital Twin Earth.

All information about workshop logistics can be found in the handbook for participants.

If you encounter issues registering for the workshop, please contact ai.workshop@noaa.gov.
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Thursday, September 8 • 1:30pm - 2:30pm
Ocean Science and Conservation Tutorial – VIAME-Web in the NOAA Fisheries Google Cloud

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T4. VIAME-Web in the NOAA Fisheries Google Cloud – Sam Woodman

**NOTE: Users interested in following along that do not already have a GCP project should request access to Qwiklabs using this Google Form. Qwiklabs is a hands-on learning platform that provides temporary credentials to a Google Cloud Platform project, in this case allowing you to practice deploying VIAME-Web in GCP during and after this training. The Qwiklabs environment will be active until Saturday, September 10, 2022 9:00AM EDT.**

VIAME is an open-source computer vision software platform that was developed by Kitware in cooperation with NOAA’s Automated Image Analysis Strategic Initiative. Kitware hosts a public deployment of VIAME-Web, but this deployment has limited computing resources shared across all users and cannot connect to NOAA Google Cloud Storage (GCS) buckets because of NOAA Fisheries Cloud security requirements. The solution to this problem is for users to deploy their own instance of VIAME-Web in their own GCP project. This training will walk users through the GitHub repo viame-web-noaa-gcp, which includes docs with NOAA-specific instructions on deploying, provisioning, and accessing GCP resources, as well as general instructions and guidelines on managing the VIAME-Web deployment. This training is tailored for NOAA users, but much of it will also be applicable to any users looking to deploy their own instance of VIAME-Web in GCP.

Users that already have a GCP project should ideally install and configure the Google Cloud CLI on their local machine before the training. Interested parties without a GCP project can pre-register for a Qwiklabs environment via this form to follow along with the training, but are also welcome to simply watch the training to gain familiarity with the viame-web-noaa-gcp repo and docs, managing resources with Terraform, and VIAME-Web admin options."

Presntation link

avatar for Sam Woodman

Sam Woodman


Thursday September 8, 2022 1:30pm - 2:30pm MDT
Virtual - Zoom