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@froyo-np froyo-np commented Jun 3, 2025

What

  • mild cleanup in render-server regarding lifecycle resource mgmt.
  • some react-level helpers to reduce repetative boilerplate demo setup
  • refactor the ome-zarr slice renderer to handle volumetric data better (each layer may not have the same # of slices)
  • a decoder for neuroglancer precomputed annotation files
  • a renderer for points in the above file format
  • a janky demo of all of the above

How

Replace this txt describing what kind of technical overlaying code changes were introduced here.

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@froyo-np froyo-np marked this pull request as ready for review June 26, 2025 16:48
@froyo-np froyo-np requested a review from a team as a code owner June 26, 2025 16:48
@froyo-np froyo-np requested review from TheMooseman and suyli7 June 26, 2025 16:48
const base =
'https://aind-open-data.s3.amazonaws.com/SmartSPIM_787715_2025-04-08_18-33-36_stitched_2025-04-09_22-42-59/image_cell_segmentation/Ex_445_Em_469/visualization/detected_precomputed/';
const expectedMetadata: AnnotationInfo<'point'> = {
annotation_type: 'point', // TODO: the real json files here use lowercase, wtf
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remove todo

unit: data.dimensions[key][1] as NGUnit,
scale: data.dimensions[key][0],
}));
// TODO this is gross - but not quite as gross as it looks - make the schema nicer!
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todone

} as const;
const dots =
'https://aind-open-data.s3.amazonaws.com/SmartSPIM_787715_2025-04-08_18-33-36_stitched_2025-04-09_22-42-59/image_cell_segmentation/Ex_445_Em_469/visualization/detected_precomputed/';
function useJunk() {
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todo rename me

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