How to change ImageScalars from volume.slice_plane() to be turned to image (numpy) ?

[OhmPuchiss]

it happens to me that I would like to create the image from multiple slice_plane()

[marcomusy]

I dont understand the question sorry.

[OhmPuchiss]

[OhmPuchiss]

I want to export the image from slice_plane obliquely out to np.array or image data with the same resolution as the slice_plane.

[marcomusy]

Try:

from vedo import *

normal = [0, 0, 1]
cmap = "gist_stern_r"

def func(w, _):
    c, n = pcutter.origin, pcutter.normal
    vslice = vol.slice_plane(c, n, autocrop=True).cmap(cmap)
    vslice.name = "Slice"
    plt.at(1).remove("Slice").add(vslice)

    T = vslice.transform.compute_inverse()
    vslice2 = vslice.clone().apply_transform(T)
    shape = vslice2.metadata["shape"]
    arr = vslice2.pointdata["ImageScalars"].copy().reshape(shape)
    img = Image(arr).cmap(cmap)
    # img.write("slice.png")
    plt.at(2).remove("Image").add(img)


vol = Volume(dataurl + "embryo.slc").cmap(cmap)

vslice = vol.slice_plane(vol.center(), normal).cmap(cmap)
vslice.name = "Slice"

plt = Plotter(N=3, bg="k", bg2="bb", interactive=False)
plt.at(0).show(vol, zoom=1.5)

pcutter = PlaneCutter(
    vslice,
    normal=normal,
    alpha=0,
    c="white",
    padding=0,
    can_translate=False,
    can_scale=False,
)
pcutter.add_observer("interaction", func)

plt.at(1).add(pcutter)
plt.interactive().close()