Jeff Rhoades

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A more automated GPU install would be really nice, as I imagine it provides significant performance gains on multi-GPU machines... In the meantime, some more thorough instructions on how to...

@mzouink you finished this, didn't you?

- [x] Locally generated small datasets, _such as_ raws with a large X or two (in pixels) and GT being an inverted version - [ ] @d-v-b Pulling a couple...

so far for the small datasets to pull from s3:// via a script: - [ ] raw: data/jrc_hela-2/jrc_hela-2.zarr/recon-1/em/fibsem-uint8 (with separate crops for each GT cube) - [ ] validation (converted...

@d-v-b The idea was to put it in the [examples folder](https://github.com/janelia-cellmap/dacapo/tree/main/examples). But perhaps this should be done with a more minimal list of crops to speed things up. I imagine...

I think `dacapo.datasets.HelaCell` would be an awesome entry point.

``` from dacapo import datasets training_data = datasets.HelaCell( download=True, # download data (instead of training from cloud, which isn't implemented yet) root="data", # download to folder "./data/" raw_scale=8, # download...

Revisiting this @d-v-b and @yuriyzubov. We need a script to essentially do this for the segmentation challenge as well.