def plot_uv(lines = [], scatter = [], hue_lines = [], white_point = (1.0/3, 1.0/3), show_diagram_colours=False,
filename = None, save_only = False):
"""
Plot uv chromaticities in the CIE1976UCS space. lines and scatters data prepared
as in plotAll
"""
# TODO: Background color
colour.plotting.plot_RGB_colourspaces_in_chromaticity_diagram_CIE1976UCS(colourspaces=['sRGB', 'DCI-P3'], standalone=False,
show_whitepoints = False, show_diagram_colours=show_diagram_colours)
if not white_point is None:
wp_uv = colour.xy_to_Luv_uv(np.array(white_point))
plt.scatter(wp_uv[0], wp_uv[1], c='k')
for data,label in hue_lines:
uv = colour.xy_to_Luv_uv(data)
plt.plot(uv[...,0], uv[...,1], label=label, color=hue_line_color, linestyle=hue_line_style, marker=hue_point_style)
cnt = 0
for data,label in lines:
uv = colour.xy_to_Luv_uv(data)
lstyle = lineStyle(cnt)
plt.plot(uv[...,0], uv[...,1], label=label, color=lstyle[0], linestyle=lstyle[2], marker=lstyle[1])
cnt += 1
for data,label in scatter:
uv = colour.xy_to_Luv_uv(data)
c,m = scatterStyle(cnt)
plt.scatter(uv[...,0], uv[...,1], label=label, c=c, marker=m)
cnt += 1
plt.xlim(-0.05, 0.65)
plt.ylim(-0.03, 0.65)
if filename:
filename = filename.format('uv')
fig = colour.plotting.render(standalone=True,
x_tighten=True,
y_tighten=True,
filename=filename,
transparent_background=False)
print('\n')
uv = np.array([0.1508531, 0.48532971])
message_box(('Converting to "xy" chromaticity coordinates from given '
'"CIE L*u*v*" colourspace "u"v"" chromaticity coordinates:\n'
'\n\t{0}'.format(uv)))
print(colour.Luv_uv_to_xy(uv))
print('\n')
xy = np.array([0.26414771, 0.37770001])
message_box(('Converting to "CIE L*u*v*" colourspace "u"v"" chromaticity '
'coordinates from given "xy" chromaticity coordinates:\n'
'\n\t{0}'.format(xy)))
print(colour.xy_to_Luv_uv(xy))
print('\n')
message_box(('Converting to "CIE L*C*Huv" colourspace from given "CIE L*u*v*" '
'colourspace values:\n'
'\n\t{0}'.format(Luv)))
print(colour.Luv_to_LCHuv(Luv))
print('\n')
LCHuv = np.array([37.9856291, 24.67169031, 160.09535205])
message_box(('Converting to "CIE L*u*v*" colourspace from given "CIE L*C*Huv" '
'colourspace values:\n'
'\n\t{0}'.format(LCHuv)))
print(colour.LCHuv_to_Luv(LCHuv))
def VAC(xy, xy_wp):
uv = colour.xy_to_Luv_uv(xy)
wp = colour.xy_to_Luv_uv(xy_wp)
theta = math.atan2(uv[1] - wp[1], uv[0] - wp[0])
return 0.4462 * pow(
1.0 + (-0.1340 * q(theta) + 0.0872 * K_Br) * s(uv, wp) + 0.3086, 3)
"""Showcases Helmholtz—Kohlrausch effect estimation computations."""
import colour
from colour.plotting import colour_style, plot_multi_colour_swatches
from colour.utilities import message_box
wp = colour.xy_to_Luv_uv([0.31271, 0.32902])
average_luminance = 0.14
swatches = [
[0.45079660, 0.52288689],
[0.19124902, 0.55444488],
[0.13128455, 0.51210591],
[0.14889223, 0.37091478],
[0.28992574, 0.30964533],
]
swatches_XYZ = []
for patch in swatches:
in_XYZ = colour.Luv_to_XYZ(colour.uv_to_Luv(patch))
swatches_XYZ.append(in_XYZ * (average_luminance / in_XYZ[1]))
# Adapting Luminance, 250 cd/m^2 represents a typical modern computer
# display peak luminance.
L_a = 250 * average_luminance
bg_grey = colour.xy_to_XYZ(colour.Luv_uv_to_xy(wp)) * average_luminance
swatches_normal = []
swatches_VCC = []
swatches_VAC = []
print('\n')
uv = np.array([0.1508531, 0.48532971])
message_box(('Converting to "xy" chromaticity coordinates from given '
'"CIE L*u*v*" colourspace "u"v"" chromaticity coordinates:\n'
'\n\t{0}'.format(uv)))
print(colour.Luv_uv_to_xy(uv))
print('\n')
xy = np.array([0.26414771, 0.37770001])
message_box(('Converting to "CIE L*u*v*" colourspace "u"v"" chromaticity '
'coordinates from given "xy" chromaticity coordinates:\n'
'\n\t{0}'.format(xy)))
print(colour.xy_to_Luv_uv(xy))
print('\n')
message_box(('Converting to "CIE L*C*Huv" colourspace from given "CIE L*u*v*" '
'colourspace values:\n'
'\n\t{0}'.format(Luv)))
print(colour.Luv_to_LCHuv(Luv))
print('\n')
LCHuv = np.array([37.9856291, 24.67169031, 160.09535205])
message_box(('Converting to "CIE L*u*v*" colourspace from given "CIE L*C*Huv" '
'colourspace values:\n'
'\n\t{0}'.format(LCHuv)))
print(colour.LCHuv_to_Luv(LCHuv))