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import numpy as np | |
from math import cos, sin | |
from collections import namedtuple | |
ColorGrid = namedtuple("ColorGrid", ["positions", "colors"]) | |
def build_color_grid(x_count=10, y_count=10, z_count=10, twist=0): | |
""" | |
Create a cube of points with colors. | |
The total point cloud will have x_count * y_count * z_count points. | |
Parameters | |
---------- | |
x_count, y_count, z_count: | |
Number of points in each dimension. | |
twist: | |
Angle to twist from bottom to top of the cube | |
""" | |
grid = np.mgrid[ | |
slice(-x_count, x_count, x_count * 1j), | |
slice(-y_count, y_count, y_count * 1j), | |
slice(-z_count, z_count, z_count * 1j), | |
] | |
angle = np.linspace(-float(twist) / 2, float(twist) / 2, z_count) | |
for z in range(z_count): | |
xv, yv, zv = grid[:, :, :, z] | |
rot_xv = xv * cos(angle[z]) - yv * sin(angle[z]) | |
rot_yv = xv * sin(angle[z]) + yv * cos(angle[z]) | |
grid[:, :, :, z] = [rot_xv, rot_yv, zv] | |
positions = np.vstack([xyz.ravel() for xyz in grid]) | |
colors = np.vstack( | |
[ | |
xyz.ravel() | |
for xyz in np.mgrid[ | |
slice(0, 255, x_count * 1j), | |
slice(0, 255, y_count * 1j), | |
slice(0, 255, z_count * 1j), | |
] | |
] | |
) | |
return ColorGrid(positions.T, colors.T.astype(np.uint8)) | |