def _create_colours(light_colours=False) -> np.ndarray:
saturation = 100
luminance = 60
if light_colours:
saturation = 80
luminance = 80
colours = []
for hue in range(360):
r, g, b = hpluv_to_rgb((hue, saturation, luminance))
colours.append(RGB(r * 256, g * 256, b * 256))
return np.array(colours)
def make_anglemap(N=256, use_hpl=True):
h = np.ones(N) # hue
h[:N // 2] = 11.6 # red
h[N // 2:] = 258.6 # blue
s = 100 # saturation
l = np.linspace(0, 100, N // 2) # luminosity
l = np.hstack((l, l[::-1]))
colorlist = np.zeros((N, 3))
for ii in range(N):
if use_hpl:
colorlist[ii, :] = hsluv.hpluv_to_rgb((h[ii], s, l[ii]))
else:
colorlist[ii, :] = hsluv.hsluv_to_rgb((h[ii], s, l[ii]))
colorlist[colorlist > 1] = 1 # correct numeric errors
colorlist[colorlist < 0] = 0
return col.ListedColormap(colorlist)
import hsluv # from https://github.com/hsluv/hsluv-python
import numpy as np
npoints = 255
hsluv_data = []
hpluv_data = []
hues = np.linspace(0, 360, npoints, endpoint=False)
for h in hues:
hsluv_data.append(hsluv.hsluv_to_rgb([h, 100., 60.]))
hpluv_data.append(hsluv.hpluv_to_rgb([h, 100., 60.]))
hsluv_data = np.array(hsluv_data)
hpluv_data = np.array(hpluv_data)
np.savetxt('hsluv.txt', hsluv_data, fmt='%.15g')
np.savetxt('hpluv.txt', hpluv_data, fmt='%.15g')