gradio_rerun / color_grid.py
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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))