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K3D-tools / K3D-jupyter

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
MIT License
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Weird voxels behavior #321

Closed panangam closed 2 years ago

panangam commented 2 years ago

I'm trying to visualize some voxels, but neither k3d.voxels nor k3d.sparse_voxels seem to work correctly.

When using k3d.voxels on a dense grid, the orientation is wrong, and the plot is mirrored. 

print(voxel_grid.shape)
k3d.voxels(voxel_grid)

Screenshot from 2021-12-21 19-49-06

When using k3d.sparse_voxels, the orientation is correct but the plot is repeated for some reason. 

k3d.sparse_voxels(np.c_[voxel_coords, np.ones(voxel_coords.shape[0])], [384, 255, 12])

Screenshot from 2021-12-21 19-49-30

Here's the data: voxel_data.zip

Any idea what is going on???

artur-trzesiok commented 2 years ago

It is expected order of axis. To learn more please visit https://en.wikipedia.org/wiki/Row-_and_column-major_order

So K3D assumption is that "the fastest" axis is a x-axis.