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In order to support larger-than-memory embeddings, we need some tooling for performant lazy loading. A few features/characteristics:
Libraries for IO:
The text was updated successfully, but these errors were encountered:
For the size of typical tomograms we might be ok with Dask
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I'm up for giving TensorStore a whirl.
I have been able to use this album solution to segment whole tomograms: https://album.cellcanvas.org/cellcanvas/segment-tomogram/0.0.4
after computing the embedding with this album solution: http://cold-storage.kyleharrington.com/tomotwin/generate-embedding-zarr/0.0.15
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In order to support larger-than-memory embeddings, we need some tooling for performant lazy loading. A few features/characteristics:
Libraries for IO:
The text was updated successfully, but these errors were encountered: