def YCbCr2100Const(xyz, saturation, white_point):
wp = np.array(white_point)
bt2020 = colour.RGB_COLOURSPACES['ITU-R BT.2020']
data = 100 * colour.XYZ_to_RGB(xyz,
wp,
bt2020.whitepoint,
bt2020.XYZ_to_RGB_matrix,
'CAT02',
cctf_encoding=None)
data = colour.RGB_to_ICTCP(data)
data[..., 1] = saturation * data[..., 1]
data[..., 2] = saturation * data[..., 2]
data = colour.ICTCP_to_RGB(data)
return 0.01 * colour.RGB_to_XYZ(data,
bt2020.whitepoint,
wp,
bt2020.RGB_to_XYZ_matrix,
'CAT02',
cctf_encoding=None)
def YCbCr2020(xyz, saturation, white_point):
wp = np.array(white_point)
bt2020 = colour.RGB_COLOURSPACES['ITU-R BT.2020']
data = colour.XYZ_to_RGB(xyz,
wp,
bt2020.whitepoint,
bt2020.XYZ_to_RGB_matrix,
cctf_encoding=None)
data[data < 0.0] = 0.0
data = colour.models.rgb.transfer_functions.eotf_inverse_BT1886(data)
data = colour.RGB_to_YCbCr(
data, K=colour.YCBCR_WEIGHTS['ITU-R BT.2020']) #, out_legal=False)
data[..., 1] = (data[..., 1] - 0.5) * saturation + 0.5
data[..., 2] = (data[..., 2] - 0.5) * saturation + 0.5
data = colour.YCbCr_to_RGB(data, K=colour.YCBCR_WEIGHTS['ITU-R BT.2020'])
data[data < 0.0] = 0.0
return colour.RGB_to_XYZ(
data,
bt2020.whitepoint,
wp,
bt2020.RGB_to_XYZ_matrix,
cctf_decoding=colour.models.rgb.transfer_functions.eotf_BT1886)
def AscCdl(xyz, saturation, white_point):
wp = np.array(white_point)
bt709 = colour.RGB_COLOURSPACES['ITU-R BT.709']
data = colour.XYZ_to_RGB(xyz,
wp,
bt709.whitepoint,
bt709.XYZ_to_RGB_matrix,
cctf_encoding=None)
data[data < 0.0] = 0.0
data = colour.models.rgb.transfer_functions.eotf_inverse_BT1886(data)
outdata = np.zeros(data.shape)
lum = 0.2126 * data[..., 0] + 0.7152 * data[..., 1] + 0.0722 * data[..., 1]
for i in range(3):
outdata[..., i] = lum + saturation * (data[..., i] - lum)
data = None
outdata[outdata < 0] = 0.0
return colour.RGB_to_XYZ(
outdata,
bt709.whitepoint,
wp,
bt709.RGB_to_XYZ_matrix,
cctf_decoding=colour.models.rgb.transfer_functions.eotf_BT1886)
for g in range(resolution):
for b in range(resolution):
idx = r * resolution * resolution + g * resolution + b
output[idx, 0] = r * divisor
output[idx, 1] = g * divisor
output[idx, 2] = b * divisor
if not transfer_curve is None:
output = transfer_curve(output)
return output
bt2020 = colour.RGB_COLOURSPACES['ITU-R BT.2020']
itur_bt709_hull = createHull(transfer_curve=lambda x: colour.RGB_to_YCbCr(x, out_legal=False))
ictcp_hull = createHull(transfer_curve=lambda x: colour.RGB_to_ICTCP(colour.models.rgb.transfer_functions.st_2084.eotf_ST2084(x * colour.models.rgb.transfer_functions.st_2084.eotf_inverse_ST2084(1000))))
jzazbz_hull = createHull(transfer_curve=lambda x: colour.XYZ_to_JzAzBz(colour.RGB_to_XYZ(colour.models.rgb.transfer_functions.st_2084.eotf_ST2084(x * colour.models.rgb.transfer_functions.st_2084.eotf_inverse_ST2084(1000)),
bt2020.whitepoint,
bt2020.whitepoint,
bt2020.RGB_to_XYZ_matrix,
None,
None)))
colors = ['r', 'g', 'b', 'c', 'm', 'y']
line_style = ['--', '-.']
line_point_marker = '+'
scatter_marker = ['o', '*', 'x']
hue_line_color = '0.65'
hue_line_style = ':'
hue_point_style = '.'
def lineStyle(cnt):
# line_point_marker not shown!
c = cnt % len(colors)
'\n\t{0}'.format(XYZ)))
D50 = colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50']
print(
colour.XYZ_to_RGB(XYZ, D50, colour.sRGB_COLOURSPACE.whitepoint,
colour.sRGB_COLOURSPACE.XYZ_to_RGB_matrix, 'Bradford',
colour.sRGB_COLOURSPACE.encoding_cctf))
print('\n')
RGB = (1.26651054, 0.91394181, 0.76936593)
message_box(('Converting to "CIE XYZ" tristimulus values from given "RGB" '
'colourspace values:\n'
'\n\t{0}'.format(RGB)))
print(
colour.RGB_to_XYZ(RGB, colour.sRGB_COLOURSPACE.whitepoint, D50,
colour.sRGB_COLOURSPACE.RGB_to_XYZ_matrix, 'Bradford',
colour.sRGB_COLOURSPACE.decoding_cctf))
print('\n')
message_box(('Converting to "sRGB" colourspace from given "CIE XYZ" '
'tristimulus values using convenient definition:\n'
'\n\t{0}'.format(XYZ)))
print(colour.XYZ_to_sRGB(XYZ, D50))
print('\n')
message_box(('Converting to "CIE UCS" colourspace from given "CIE XYZ" '
'tristimulus values:\n'
'\n\t{0}'.format(XYZ)))
print(colour.XYZ_to_UCS(XYZ))
# measurement between the colors) as a value in the lists; doing this
# with manual nested for loops because itertools returns tuples (and other reasons that
# may not be valid) ;
# Conditional print: only print this information if we're overwriting original palette file (because if we aren't overwriting it, the user may be piping output to a new palette file that they wouldn't want cluttered with other information that breaks the file format:
if overwriteOriginalList == True:
print('Input file is ', hexpltFileNamePassedToScript)
print('Getting deltaE for all color combinations . . .')
for i in range(len(colors_list)):
for j in range(i + 1, len(colors_list)):
i_RGB = tuple(int(colors_list[i][x:x+2], 16) for x in (0, 2, 4))
j_RGB = tuple(int(colors_list[j][x:x+2], 16) for x in (0, 2, 4))
# convert those to percent (0 to 1) per colour-science expectation:
percent_i_RGB = [(i_RGB[0] / 255), (i_RGB[1] / 255), (i_RGB[2] / 255)]
percent_j_RGB = [(j_RGB[0] / 255), (j_RGB[1] / 255), (j_RGB[2] / 255)]
# RGB to XYZ:
RGB_i_as_XYZ = colour.RGB_to_XYZ(percent_i_RGB, illuminant_RGB, illuminant_XYZ, RGB_to_XYZ_matrix, chromatic_adaptation_transform)
RGB_j_as_XYZ = colour.RGB_to_XYZ(percent_j_RGB, illuminant_RGB, illuminant_XYZ, RGB_to_XYZ_matrix, chromatic_adaptation_transform)
# color comparison from XYZ through a delta function in another color space:
# CAM16 boneyard:
# RGB_i_as_CAM16 = colour.XYZ_to_CAM16(RGB_i_as_XYZ, XYZ_w, L_A, Y_b, CAM16_SURROUND, 0)
# RGB_i_as_CAM16 = colour.XYZ_to_CAM16(RGB_j_as_XYZ, XYZ_w, L_A, Y_b, CAM16_SURROUND, 0)
# CAM16_Specification(J=14.25387410524929, C=26.098284643489645, h=32.022241090829169, s=148.81680522210502, Q=8.1330918133918981, M=18.011904219372205, H=15.205855285709777, HC=None)
# re: https://colour.readthedocs.io/en/develop/generated/colour.difference.delta_E_CAM16UCS.html
# distance = colour.difference.delta_E_CAM16UCS(RGB_i_as_Jab, RGB_i_as_CAM16)
# colour.delta_E(RGB_i_as_Jab, RGB_i_as_CAM16, method='CAM16-UCS')
# NOPE -- that ran into a brickwall when I searched for a delta_E function that would take that result.
# IS NONE FOUND. And no compare functions I find will use Jch from that.
# INSTEAD; going with defaults because I don't understand the second constants param given here:
# https://colour.readthedocs.io/en/develop/generated/colour.XYZ_to_JzAzBz.html
RGB_i_as_JzAzBz = colour.XYZ_to_JzAzBz(RGB_i_as_XYZ)
RGB_j_as_JzAzBz = colour.XYZ_to_JzAzBz(RGB_j_as_XYZ)
colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50'],
colour.sRGB_COLOURSPACE.whitepoint,
colour.sRGB_COLOURSPACE.to_RGB,
'Bradford',
colour.sRGB_COLOURSPACE.transfer_function))
print('\n')
RGB = [1.26651054, 0.91394181, 0.76936593]
message_box(('Converting to "CIE XYZ" colourspace from given "RGB" '
'colourspace values:\n'
'\n\t{0}'.format(RGB)))
print(colour.RGB_to_XYZ(
RGB,
colour.sRGB_COLOURSPACE.whitepoint,
colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50'],
colour.sRGB_COLOURSPACE.to_XYZ,
'Bradford',
colour.sRGB_COLOURSPACE.inverse_transfer_function))
print('\n')
message_box(('Converting to "sRGB" colourspace from given "CIE XYZ" '
'colourspace values using convenient definition:\n'
'\n\t{0}'.format(XYZ)))
print(colour.XYZ_to_sRGB(
XYZ,
colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50']))
print('\n')
colour.RGB_COLOURSPACES['sRGB'].XYZ_to_RGB_matrix,
'Bradford',
colour.RGB_COLOURSPACES['sRGB'].cctf_encoding,
))
print('\n')
RGB = np.array([0.45620519, 0.03081071, 0.04091952])
message_box(('Converting to "CIE XYZ" tristimulus values from given "RGB" '
'colourspace values:\n'
'\n\t{0}'.format(RGB)))
print(
colour.RGB_to_XYZ(
RGB,
colour.RGB_COLOURSPACES['sRGB'].whitepoint,
D65,
colour.RGB_COLOURSPACES['sRGB'].RGB_to_XYZ_matrix,
'Bradford',
colour.RGB_COLOURSPACES['sRGB'].cctf_decoding,
))
print('\n')
message_box(('Converting to "sRGB" colourspace from given "CIE XYZ" '
'tristimulus values using convenient definition:\n'
'\n\t{0}'.format(XYZ)))
print(colour.XYZ_to_sRGB(XYZ, D65))
print('\n')
message_box(('Converting to "CIE 1960 UCS" colourspace from given "CIE XYZ" '
'tristimulus values:\n'
def RGB_to_Lab(space, pt):
XYZ = colour.RGB_to_XYZ(pt,
space.whitepoint,
D50,
space.RGB_to_XYZ_matrix)
return colour.XYZ_to_Lab(XYZ)
colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50'],
colour.sRGB_COLOURSPACE.whitepoint,
colour.sRGB_COLOURSPACE.XYZ_to_RGB_matrix,
'Bradford',
colour.sRGB_COLOURSPACE.encoding_cctf))
print('\n')
RGB = (1.26651054, 0.91394181, 0.76936593)
message_box(('Converting to "CIE XYZ" tristimulus values from given "RGB" '
'colourspace values:\n'
'\n\t{0}'.format(RGB)))
print(colour.RGB_to_XYZ(
RGB,
colour.sRGB_COLOURSPACE.whitepoint,
colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50'],
colour.sRGB_COLOURSPACE.RGB_to_XYZ_matrix,
'Bradford',
colour.sRGB_COLOURSPACE.decoding_cctf))
print('\n')
message_box(('Converting to "sRGB" colourspace from given "CIE XYZ" '
'tristimulus values using convenient definition:\n'
'\n\t{0}'.format(XYZ)))
print(colour.XYZ_to_sRGB(
XYZ,
colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50']))
print('\n')
colour.RGB_COLOURSPACES["sRGB"].matrix_XYZ_to_RGB,
"Bradford",
colour.RGB_COLOURSPACES["sRGB"].cctf_encoding,
))
print("\n")
RGB = np.array([0.45620519, 0.03081071, 0.04091952])
message_box(
f'Converting to "CIE XYZ" tristimulus values from given "RGB" colourspace '
f"values:\n\n\t{RGB}")
print(
colour.RGB_to_XYZ(
RGB,
colour.RGB_COLOURSPACES["sRGB"].whitepoint,
D65,
colour.RGB_COLOURSPACES["sRGB"].matrix_RGB_to_XYZ,
"Bradford",
colour.RGB_COLOURSPACES["sRGB"].cctf_decoding,
))
print("\n")
message_box(
f'Converting to "sRGB" colourspace from given "CIE XYZ" tristimulus '
f"values using convenient definition:\n\n\t{XYZ}")
print(colour.XYZ_to_sRGB(XYZ, D65))
print("\n")
message_box(f'Converting to "CIE 1960 UCS" colourspace from given "CIE XYZ" '
f"tristimulus values:\n\n\t{XYZ}")
D50,
colour.RGB_COLOURSPACES['sRGB'].whitepoint,
colour.RGB_COLOURSPACES['sRGB'].XYZ_to_RGB_matrix,
'Bradford',
colour.RGB_COLOURSPACES['sRGB'].encoding_cctf, ))
print('\n')
RGB = np.array([1.26651054, 0.91394181, 0.76936593])
message_box(('Converting to "CIE XYZ" tristimulus values from given "RGB" '
'colourspace values:\n'
'\n\t{0}'.format(RGB)))
print(colour.RGB_to_XYZ(
RGB,
colour.RGB_COLOURSPACES['sRGB'].whitepoint,
D50,
colour.RGB_COLOURSPACES['sRGB'].RGB_to_XYZ_matrix,
'Bradford',
colour.RGB_COLOURSPACES['sRGB'].decoding_cctf, ))
print('\n')
message_box(('Converting to "sRGB" colourspace from given "CIE XYZ" '
'tristimulus values using convenient definition:\n'
'\n\t{0}'.format(XYZ)))
print(colour.XYZ_to_sRGB(XYZ, D50))
print('\n')
message_box(('Converting to "CIE UCS" colourspace from given "CIE XYZ" '
'tristimulus values:\n'
