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Description
This will be helpful for multiple projects to revise training or processed data, e.g. CFE (SINKER and Planktivore), i2MAP, Biodiversity, UAV.
- Implement for the gridview panel only
- Create Algorithm https://github.com/mbari-org/argo-workflows/blob/main/workflows/retinanet_tator.yml* and https://github.com/mbari-org/argo-workflows/blob/main/src/inference/detectron_infer_tator.py serve as a simple example.
- Deploy algorithm using fixed naming convention to simplify integration, e.g. VSS
- Use model defaults as defined in respective model yaml files here: https://docs.mbari.org/internal/ai/projects/
vss:
project: "901902-UAV"
threshold: 0.1
model: "/mnt/DeepSea-AI/models/UAV/mbari-uav-vits-b8-20251002/"- Deploy FastAPI-VSS to a maximilian which has capacity both GPU and disk. Copy REDIS docker volumes from doris since most projects already have populated databases.
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