def temperature_convert(
rgb_in, src_temperature=6500, dst_temperature=5000,
chromatic_adaptation="CAT02", color_space=cs.RGB_COLOURSPACES[cs.SRTB]):
"""
ColorCheckerの色温度を変更する。
rgb_in は linear data とする。
"""
src_xy = make_xy_value_from_temperature(src_temperature)
dst_xy = make_xy_value_from_temperature(dst_temperature)
rgb_to_xyz_matrix = color_space.RGB_to_XYZ_matrix
xyz_to_rgb_matrix = color_space.XYZ_to_RGB_matrix
large_xyz = RGB_to_XYZ(rgb_in, src_xy, src_xy, rgb_to_xyz_matrix,
chromatic_adaptation)
rgb_out = XYZ_to_RGB(large_xyz, src_xy, dst_xy, xyz_to_rgb_matrix,
chromatic_adaptation)
# under flow check
if np.min(rgb_out) < 0:
print("under flow has occured, at temperature_convert.")
rgb_out[rgb_out < 0] = 0
# over flow check
if np.max(rgb_out) > 1:
print("over flow has occured, at temperature_convert.")
rgb_out = rgb_out / np.max(rgb_out)
return rgb_out
def color_checker_large_xyz_to_rgb(large_xyz):
illuminant_XYZ = D65_WHITE
illuminant_RGB = illuminant_XYZ
chromatic_adaptation_transform = 'CAT02'
xyz_to_rgb_matrix = make_xyz_to_rgb_mtx_2015()
rgb = XYZ_to_RGB(large_xyz, illuminant_XYZ, illuminant_RGB,
xyz_to_rgb_matrix, chromatic_adaptation_transform)
return rgb
def xyY_to_rgb_with_illuminant_c(xyY):
"""
C光源のXYZ値をD65光源のRGB値に変換する
"""
large_xyz = xyY_to_XYZ(xyY)
illuminant_XYZ = C_WHITE
illuminant_RGB = D65_WHITE
chromatic_adaptation_transform = 'CAT02'
xyz_to_rgb_matrix = sRGB_COLOURSPACE.XYZ_to_RGB_matrix
rgb = XYZ_to_RGB(large_xyz, illuminant_XYZ, illuminant_RGB,
xyz_to_rgb_matrix, chromatic_adaptation_transform)
return rgb
def spectral_locus_visual(colourspace=PRIMARY_COLOURSPACE,
colourspace_model=COLOURSPACE_MODEL,
cmfs='CIE 1931 2 Degree Standard Observer'):
"""
Returns the spectral locus visual geometry formatted as *JSON*.
Parameters
----------
colourspace : unicode, optional
RGB colourspace used to generate the visual geometry.
colourspace_model : unicode, optional
Colourspace model used to generate the visual geometry.
cmfs : unicode, optional
Standard observer colour matching functions used to draw the spectral
locus.
Returns
-------
unicode
Spectral locus visual geometry formatted as *JSON*.
"""
colourspace = first_item(
filter_RGB_colourspaces(re.escape(colourspace)).values())
cmfs = first_item(filter_cmfs(cmfs).values())
XYZ = cmfs.values
XYZ = np.vstack([XYZ, XYZ[0, ...]])
vertices = colourspace_model_axis_reorder(
XYZ_to_colourspace_model(
XYZ,
colourspace.whitepoint,
colourspace_model,
), colourspace_model)
RGB = normalise_maximum(XYZ_to_RGB(
XYZ,
colourspace.whitepoint,
colourspace.whitepoint,
colourspace.matrix_XYZ_to_RGB,
),
axis=-1)
return buffer_geometry(position=vertices, color=RGB)
def temperature_convert(rgb_in,
src_temperature=6500,
dst_temperature=5000,
chromatic_adaptation="CAT02"):
"""
ColorCheckerの色温度を変更するぞい
"""
src_xy = make_xy_value_from_temperature(src_temperature)
dst_xy = make_xy_value_from_temperature(dst_temperature)
rgb_to_xyz_matrix = sRGB_COLOURSPACE.RGB_to_XYZ_matrix
xyz_to_rgb_matrix = sRGB_COLOURSPACE.XYZ_to_RGB_matrix
large_xyz = RGB_to_XYZ(rgb_in, src_xy, src_xy, rgb_to_xyz_matrix,
chromatic_adaptation)
rgb_out = XYZ_to_RGB(large_xyz, src_xy, dst_xy, xyz_to_rgb_matrix,
chromatic_adaptation)
rgb_out[rgb_out < 0] = 0
# rgb_out[rgb_out > 1] = 1
return rgb_out
def color_checker_large_xyz_to_rgb(
large_xyz, color_space=cs.RGB_COLOURSPACES[cs.SRTB]):
illuminant_XYZ = D65_WHITE
illuminant_RGB = D65_WHITE
chromatic_adaptation_transform = None
xyz_to_rgb_matrix = color_space.XYZ_to_RGB_matrix
rgb = XYZ_to_RGB(large_xyz, illuminant_XYZ,
illuminant_RGB, xyz_to_rgb_matrix,
chromatic_adaptation_transform)
# under flow check
if np.min(rgb) < 0:
print("under flow has occured, at color_checker_large_xyz_to_rgb.")
rgb[rgb < 0] = 0
# over flow check
if np.max(rgb) > 1:
print("over flow has occured, at color_checker_large_xyz_to_rgb.")
rgb = rgb / np.max(rgb)
return rgb
def get_normalize_rgb_value_from_small_xy(small_xy, name=cs.BT709):
"""
Examples
--------
>>> xy = calc_xy_from_white_to_primary_n_step(name=cs.BT709,
step=5, color='green')
>>> print(xy)
[[0.3127, 0.3290], [0.3095, 0.3968], [0.3064, 0.4645],
[0.3032, 0.5323], [0.3000, 0.6000]]
>>> get_normalize_rgb_value_from_small_xy(xy)
[[ 1.00000000e+00 1.00000000e+00 1.00000000e+00]
[ 5.40536717e-01 1.00000000e+00 5.40536717e-01]
[ 2.81687026e-01 1.00000000e+00 2.81687026e-01]
[ 1.15605362e-01 1.00000000e+00 1.15605362e-01]
[ 1.58799347e-16 1.00000000e+00 4.73916800e-16]]
"""
large_xyz = xy_to_XYZ(small_xy)
xyz_to_rgb_mtx = RGB_COLOURSPACES[name].XYZ_to_RGB_matrix
rgb_linear = XYZ_to_RGB(large_xyz, D65_WHITE, D65_WHITE, xyz_to_rgb_mtx)
normalize_val = np.max(rgb_linear, axis=-1)
rgb_linear /= normalize_val.reshape((rgb_linear.shape[0], 1))
return rgb_linear