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_cmc(color1, color2, pl=2, pc=1): """ Calculates the Delta E (CMC) of two colors. CMC values Acceptability: pl=2, pc=1 Perceptability: pl=1, pc=1 """ color1_vector = _get_lab_color1_vector(color1) color2_matrix = _get_lab_color2_matrix(color2) delta_e = color_diff_matrix.delta_e_cmc( color1_vector, color2_matrix, pl=pl, pc=pc)[0] return numpy.asscalar(delta_e)