3D concave hull from point cloud?

[RyanConway91]

I have a set of 3D points, each with an associated integer value representing the ID of a given volume (x,y,z,vol_id). Can I use vedo to render the point clouds into the unique volumes? The volumes should have topology. That is, the union of the volumes should completely fill the 3D extent of the points and no volumes should overlap (my points represent a 3D bedrock model). I am thinking what I want is a concave hull of the points within each volume?

[marcomusy]

if you need to just visualize the volumes you can split the points by vol_id (with numpy) and shift the Volumes by correct amount. E.g.

from vedo import *

vol1 = Volume(dataurl+"embryo.tif").mode(1)
pts1 = np.random.rand(100,3)*3000 +[6000,3000,3000]
pts1 = Points(pts1)

print(vol1.bounds())

vol2 = Volume(dataurl+"embryo.tif").mode(1).cmap("jet")
vol2.shift(12900,0,0)
pts2 = np.random.rand(100,3)*3000 +[12900+6000,3000,3000]
pts2 = Points(pts2)

show(vol1, pts1, vol2, pts2, axes=1)

[RyanConway91]

I need the actual subset volumes for further analysis