Surface with texture and vertex_colors

Display a 3D surface with both texture and color maps.

This example demonstrates how surfaces may be colored by:

• setting vertex_values, which colors the surface with the selected colormap

• setting vertex_colors, which replaces/overrides any color from vertex_values

• setting both texture and texcoords, which blends a the value from a texture (image) with the underlying color from vertex_values or vertex_colors. Blending is achieved by multiplying the texture color by the underlying color - an underlying value of “white” will result in the unaltered texture color.

Tags: visualization-nD

import numpy as np
from vispy.io import imread, load_data_file, read_mesh

import napari

# load the model and texture
mesh_path = load_data_file('spot/spot.obj.gz')
vertices, faces, _normals, texcoords = read_mesh(mesh_path)
n = len(vertices)
texture_path = load_data_file('spot/spot.png')
texture = imread(texture_path)

flat_spot = napari.layers.Surface(
    (vertices, faces),
    translate=(1, 0, 0),
    texture=texture,
    texcoords=texcoords,
    shading="flat",
    name="texture only",
)

np.random.seed(0)
plasma_spot = napari.layers.Surface(
    (vertices, faces, np.random.random((3, 3, n))),
    texture=texture,
    texcoords=texcoords,
    colormap="plasma",
    shading="smooth",
    name="vertex_values and texture",
)

rainbow_spot = napari.layers.Surface(
    (vertices, faces),
    translate=(-1, 0, 0),
    texture=texture,
    texcoords=texcoords,
    # the vertices are _roughly_ in [-1, 1] for this model and RGB values just
    # get clipped to [0, 1], adding 0.5 brightens it up a little :)
    vertex_colors=vertices + 0.5,
    shading="none",
    name="vertex_colors and texture",
)

# create the viewer and window
viewer = napari.Viewer(ndisplay=3)
viewer.add_layer(flat_spot)
viewer.add_layer(plasma_spot)
viewer.add_layer(rainbow_spot)

viewer.camera.center = (0.0, 0.0, 0.0)
viewer.camera.angles = (25.0, -50.0, -125.0)
viewer.camera.zoom = 150


if __name__ == '__main__':
    napari.run()