def delta_e_cie1994(color1, color2, K_L=1, K_C=1, K_H=1, K_1=0.045, K_2=0.015):
"""
Calculates the Delta E (CIE1994) of two colors.
K_l:
0.045 graphic arts
0.048 textiles
K_2:
0.015 graphic arts
0.014 textiles
K_L:
1 default
2 textiles
"""
color1_vector = _get_lab_color1_vector(color1)
color2_matrix = _get_lab_color2_matrix(color2)
delta_e = color_diff_matrix.delta_e_cie1994(color1_vector,
color2_matrix,
K_L=K_L,
K_C=K_C,
K_H=K_H,
K_1=K_1,
K_2=K_2)[0]
return numpy.asscalar(delta_e)
def delta_e_matrix(self, lab_color_matrix, mode='cie2000', *args, **kwargs):
"""
Compares this object with all colors in lab_color_matrix via Delta E.
The matrix must be of shape (n,3) and must be composed of floats.
Returns a distance vector of shape (n,).
Valid modes:
cie2000
cie1976
cie1994
cmc
"""
lab_color_vector = np.array([self.lab_l, self.lab_a, self.lab_b])
mode = mode.lower()
if mode == 'cie2000':
return color_diff_matrix.delta_e_cie2000(lab_color_vector, lab_color_matrix)
elif mode == 'cie1994':
return color_diff_matrix.delta_e_cie1994(lab_color_vector, lab_color_matrix, **kwargs)
elif mode == 'cie1976':
return color_diff_matrix.delta_e_cie1976(lab_color_vector, lab_color_matrix)
elif mode == 'cmc':
return color_diff_matrix.delta_e_cmc(lab_color_vector, lab_color_matrix, **kwargs)
else:
raise InvalidDeltaEMode(mode)
def delta_e_cie1994(color1, color2, K_L=1, K_C=1, K_H=1, K_1=0.045, K_2=0.015):
"""
Calculates the Delta E (CIE1994) of two colors.
K_l:
0.045 graphic arts
0.048 textiles
K_2:
0.015 graphic arts
0.014 textiles
K_L:
1 default
2 textiles
"""
color1_vector = _get_lab_color1_vector(color1)
color2_matrix = _get_lab_color2_matrix(color2)
delta_e = color_diff_matrix.delta_e_cie1994(
color1_vector, color2_matrix, K_L=K_L, K_C=K_C, K_H=K_H, K_1=K_1, K_2=K_2)[0]
return numpy.asscalar(delta_e)
