def set_primaries_output(colourspace, illuminant,
chromatic_adaptation_transform, formatter, decimals):
"""
Computes and writes the chromatically adapted *primaries *of the given
*RGB* colourspace model to the given *illuminant* using the given
*chromatic adaptation transform*to into the output :class:`Pre` class
instance.
Parameters
----------
colourspace : unicode
*RGB* colourspace to chromatically adapt the *primaries*.
illuminant : unicode
*CIE 1931 2 Degree Standard Observer* illuminant to adapt the
*primaries* to.
chromatic_adaptation_transform : unicode
*Chromatic adaptation transform* to use.
formatter : unicode
Formatter to use, :func:`str` or :func:`repr`.
decimals : int
Decimals to use when formatting the chromatically adapted *primaries*.
Returns
-------
unicode
Chromatically adapted *primaries*.
"""
P = colour.chromatically_adapted_primaries(
colour.RGB_COLOURSPACES[colourspace].primaries,
colour.RGB_COLOURSPACES[colourspace].whitepoint,
colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer'][illuminant],
chromatic_adaptation_transform)
with colour.utilities.numpy_print_options(
formatter={'float': ('{{: 0.{0}f}}'.format(decimals)).format},
threshold=np.nan):
if formatter == 'str':
P = str(P)
elif formatter == 'repr':
P = repr(P)
return P
def set_primaries_Textarea():
input_colourspace = colour.RGB_COLOURSPACES[
input_colourspace_Dropdown.value]
P = colour.chromatically_adapted_primaries(
input_colourspace.primaries, input_colourspace.whitepoint,
colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer'][
illuminant_Dropdown.value],
chromatic_adaptation_transforms_Dropdown.value)
with colour.utilities.numpy_print_options(
formatter={
'float':
('{{:0.{0}f}}'.format(decimals_IntSlider.value)).format
},
threshold=np.nan):
if formatter_Dropdown.value == 'str':
P = str(P)
elif formatter_Dropdown.value == 'repr':
P = repr(P)
primaries_Textarea.rows = len(P.split('\n'))
primaries_Textarea.value = P
print('\n')
message_box(('Computing the normalised primary matrix for "ACES2065-1" '
'colourspace transforming from "CIE XYZ" tristimulus values to '
'"ACES2065-1" colourspace using colour models dataset.'))
print(np.linalg.inv(colour.normalised_primary_matrix(
colour.ACES_2065_1_COLOURSPACE.primaries,
colour.ACES_2065_1_COLOURSPACE.whitepoint)))
print('\n')
message_box(('Computing "sRGB" colourspace primaries chromatically adapted to '
'"CIE Standard Illuminant D50":\n'))
print(colour.chromatically_adapted_primaries(
colour.sRGB_COLOURSPACE.primaries,
colour.sRGB_COLOURSPACE.whitepoint,
colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50']))
print('\n')
npm = np.array([[0.41238656, 0.35759149, 0.18045049],
[0.21263682, 0.71518298, 0.07218020],
[0.01933062, 0.11919716, 0.95037259]])
message_box(('Computing the primaries and whitepoint from given '
'normalised primary matrix:\n'
'\n{0}'.format(npm)))
print(colour.primaries_whitepoint(npm))
print('\n')
RGB = (56.00000000, 16.00000000, 100.00000000)
print(
np.linalg.inv(
colour.normalised_primary_matrix(
colour.RGB_COLOURSPACES["ACES2065-1"].primaries,
colour.RGB_COLOURSPACES["ACES2065-1"].whitepoint,
)))
print("\n")
message_box(
'Computing the "sRGB" colourspace primaries chromatically adapted to the '
'"CIE Standard Illuminant D50":\n')
print(
colour.chromatically_adapted_primaries(
colour.RGB_COLOURSPACES["sRGB"].primaries,
colour.RGB_COLOURSPACES["sRGB"].whitepoint,
colour.CCS_ILLUMINANTS["CIE 1931 2 Degree Standard Observer"]["D50"],
))
print("\n")
npm = np.array([
[0.41240000, 0.35760000, 0.18050000],
[0.21260000, 0.71520000, 0.07220000],
[0.01930000, 0.11920000, 0.95050000],
])
message_box(
f"Computing the primaries and whitepoint from given normalised primary "
f"matrix:\n\n{npm}")
print(colour.primaries_whitepoint(npm))
'"ACES2065-1" colourspace using colour models dataset.'))
print(
np.linalg.inv(
colour.normalised_primary_matrix(
colour.RGB_COLOURSPACES['ACES2065-1'].primaries,
colour.RGB_COLOURSPACES['ACES2065-1'].whitepoint,
)))
print('\n')
message_box(('Computing "sRGB" colourspace primaries chromatically adapted to '
'"CIE Standard Illuminant D50":\n'))
print(
colour.chromatically_adapted_primaries(
colour.RGB_COLOURSPACES['sRGB'].primaries,
colour.RGB_COLOURSPACES['sRGB'].whitepoint,
colour.CCS_ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50'],
))
print('\n')
npm = np.array([
[0.41240000, 0.35760000, 0.18050000],
[0.21260000, 0.71520000, 0.07220000],
[0.01930000, 0.11920000, 0.95050000],
])
message_box(('Computing the primaries and whitepoint from given '
'normalised primary matrix:\n'
'\n{0}'.format(npm)))
print(colour.primaries_whitepoint(npm))
