-
Notifications
You must be signed in to change notification settings - Fork 3
Open
Description
Need to do something about this:
| # TODO: code below does not work yet | |
| image = cli_input_to_ngff_image(backend, [mapped_path]) | |
| multiscales = to_multiscales(image, method=Methods.DASK_IMAGE_GAUSSIAN) | |
| store, chunk_store = _make_multiscale_store() | |
| to_ngff_zarr(store, multiscales, chunk_store=chunk_store) | |
| return store |
That code errors when trying to load an ome.tif file. Need to fix that.
Then later optimization possiblities:
Right now, the remote-renderer package does not actualy request chunks from the returned Zarr store. remote-renderer really wants the image metadata (spacing, array size, etc.) to puppatear agave-renderer. Would be sweet if this chunk of code simply generated NGFF-Zarr metadata for the single image scale raw input, without calling to_multiscales, whose output will never be used.
Or we take bull by horns and feed the NGFF-Zarr output of remote-image::remote_zarr.py to agave-renderer service.
Metadata
Metadata
Assignees
Labels
No labels