Add Cellpose v4 server implementation with GPU + custom model support#1
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This server runs per default on the GPU of the host system. It also enables to run own models, that can be placed in a shared folder between the docker host and the container. Further I've added a cache to the docker-compose file.
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Amazing, I think that is a great addition. Thanks! |
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Hi,
Thanks again for all your work on the imaging-server-kit, we're using it currently both in the microscopy pipelines and now also in the lab courses.
I’ve added Cellpose v4, with optional GPU support (via WSL2 + Docker on Windows), and the ability to use custom-trained models.
Let me know if anything is missing or could be improved.
Best,
Alex