Remeshing example in slam

# Authors:
# Guillaume Auzias <guillaume.auzias@univ-amu.fr>
# Julien Barrès <julien.barres@etu.univ-amu.fr>

# License: MIT
# sphinx_gallery_thumbnail_number = 2

NOTE: there is no visualization tool in slam, but we provide at the

end of this script exemplare code to do the visualization with an external solution

---

Importation of slam modules

import slam.io as sio
import slam.remeshing as srem

Source object files

source_mesh_file = "../examples/data/example_mesh.gii"
source_texture_file = "../examples/data/example_texture.gii"
source_spherical_mesh_file = "../examples/data/example_mesh_spherical.gii"

Target object files

target_mesh_file = "../examples/data/example_mesh_2.gii"
target_spherical_mesh_file = "../examples/data/example_mesh_2_spherical.gii"

source_mesh = sio.load_mesh(source_mesh_file)
source_tex = sio.load_texture(source_texture_file)
source_spherical_mesh = sio.load_mesh(source_spherical_mesh_file)

target_mesh = sio.load_mesh(target_mesh_file)
target_spherical_mesh = sio.load_mesh(target_spherical_mesh_file)

interpolated_tex_values = srem.spherical_interpolation_nearest_neigbhor(
    source_spherical_mesh, target_spherical_mesh, source_tex.darray[0]
)

VISUALIZATION USING EXTERNAL TOOLS

# Visualization with visbrain import slam.plot as splt ############################################################################### visb_sc = splt.visbrain_plot(

mesh=source_mesh, tex=source_tex.darray[0], caption=”source with curvature”, cblabel=”curvature”,

) visb_sc = splt.visbrain_plot(

mesh=source_spherical_mesh, tex=source_tex.darray[0], caption=”spherical source mesh”, cblabel=”curvature”, visb_sc=visb_sc,

) visb_sc = splt.visbrain_plot(

mesh=target_mesh, tex=interpolated_tex_values, caption=”target mesh with curvature “ “from source mesh”, cblabel=”curvature”, visb_sc=visb_sc,

) visb_sc.preview()