seung-lab
download mesh cutouts
Do you know if we can download part of the mesh similar to the segmentation? Such as obtaining the cutout given a bounding box.
Hi HHHit, this is not currently implemented, but it is possible for multi-resolution meshes since the lower levels are stored as a grid of meshes for random access.
Does that mean I can download the mesh of only one part of a neuron using the multi-resolution mesh? How to do it?
I learnt that the multi-resolution mesh can be accessed using
cv.mesh.get(example_cell_id, lod=lod)[example_cell_id]
But how to confine the bounding box?
This is something that I didn't plan on implementing b/c I wasn't sure anyone would use it. Neuroglancer does this already to implement multi-level zoom for meshes. CloudVolume just downloads all of the LOD meshes and fuses them.
I'm a bit busy atm, so you'll have to consult and modify the CloudVolume code and/or the Neuroglancer multires spec in order to do this. Here's the code where CloudVolume downloads and parses the different mesh fragments.
https://github.com/seung-lab/cloud-volume/blob/master/cloudvolume/datasource/precomputed/mesh/multilod.py#L133-L152
Thanks!
On Mon, Mar 27, 2023 at 3:20 PM William Silversmith < @.***> wrote:
This is something that I didn't plan on implementing b/c I wasn't sure anyone would use it. Neuroglancer does this already to implement multi-level zoom for meshes. CloudVolume just downloads all of the LOD meshes and fuses them.
I'm a bit busy atm, so you'll have to consult and modify the CloudVolume code and/or the Neuroglancer multires spec in order to do this. Here's the code where CloudVolume downloads and parses the different mesh fragments.
https://github.com/seung-lab/cloud-volume/blob/master/cloudvolume/datasource/precomputed/mesh/multilod.py#L133-L152
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