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import k3d
import numpy as np
import skimage.measure



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def generate(dim):
    data = np.zeros((dim, dim, dim), dtype=np.uint8)

    x = np.linspace(-0.5, 0.5, dim, dtype=np.float32)
    y = np.linspace(-0.5, 0.5, dim, dtype=np.float32)
    z = np.linspace(-0.5, 0.5, dim, dtype=np.float32)

    x, y, z = np.meshgrid(x, y, z)

    c, s = np.cos(1.5 * x), np.sin(1.5 * x)

    my = y * c - z * s 
    mz = y * s + z * c

    my = np.fmod(my + 0.5, 0.333) * 3 - 0.5
    mz = np.fmod(mz + 0.5, 0.333) * 3 - 0.5

    displace = np.sin(60.0 * x) * np.sin(60.0 * my) * np.sin(60.0 * mz) * 0.1

    data = np.sqrt(my**2 + mz**2) * (2.5 + 0.8 * np.sin(x * 50)) + displace
    
    return (data < 0.25).astype(np.uint8)

dim = 256
data = generate(dim)

dense voxels



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plot = k3d.plot()
plot += k3d.voxels(data)
plot.display()



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plot.grid_visible = False



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chunk_size = 16
voxelsGroup = []

for z,y,x in zip(*np.where(skimage.measure.block_reduce(data, (chunk_size,chunk_size,chunk_size), np.max) > 0)):
    chunk = {
        "voxels": data[z*chunk_size:(z+1)*chunk_size,
                       y*chunk_size:(y+1)*chunk_size,
                       x*chunk_size:(x+1)*chunk_size],
        "coord": np.array([x,y,z]) * chunk_size,
        "multiple": 1
    }
    
    voxelsGroup.append(chunk)



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len(voxelsGroup), (len(voxelsGroup) * chunk_size ** 3) / (1024 ** 2), data.size / (1024 ** 2)

space_size = np.array(data.shape, dtype=np.uint32)[::-1]

voxels_group with list of dicts



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plot = k3d.plot()
obj = k3d.voxels_group(space_size, voxelsGroup)
plot += obj
plot.display()



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np.sum(np.dstack([p['voxels'] for p in obj.voxels_group]))

Edit object (add/remove some voxels)



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plot.mode = 'change'



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obj.fetch_data('voxels_group')



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np.sum(np.dstack([p['voxels'] for p in obj.voxels_group]))

k3d.voxel_chunk usage



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chunks = [k3d.voxel_chunk(g["voxels"], g["coord"], compression_level=1) for g in voxelsGroup]



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plot = k3d.plot()
obj = k3d.voxels_group(space_size, 
                       chunks_ids=[c["id"] for c in chunks])
plot += obj
plot.display()



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for c in chunks:
    c.voxels = np.ones_like(c.voxels)



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len(chunks)



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plot -= obj