colour.characterisation.training_data_sds_to_XYZ¶
- colour.characterisation.training_data_sds_to_XYZ(training_data, cmfs, illuminant)[source]¶
Converts given training data to CIE XYZ tristimulus values using given illuminant and given standard observer colour matching functions.
- Parameters
training_data (MultiSpectralDistributions) – Training data multi-spectral distributions.
cmfs (XYZ_ColourMatchingFunctions) – Standard observer colour matching functions.
illuminant (SpectralDistribution) – Illuminant spectral distribution.
- Returns
Training data CIE XYZ tristimulus values.
- Return type
ndarray
Examples
>>> path = os.path.join( ... RESOURCES_DIRECTORY_RAWTOACES, ... 'CANON_EOS_5DMark_II_RGB_Sensitivities.csv') >>> cmfs = MSDS_CMFS['CIE 1931 2 Degree Standard Observer'] >>> sensitivities = sds_and_msds_to_msds( ... read_sds_from_csv_file(path).values()) >>> illuminant = normalise_illuminant( ... SDS_ILLUMINANTS['D55'], sensitivities) >>> training_data = read_training_data_rawtoaces_v1() >>> training_data_sds_to_XYZ(training_data, cmfs, illuminant)[:5] ... array([[ 0.0174353..., 0.0179504..., 0.0196109...], [ 0.0855607..., 0.0895735..., 0.0901703...], [ 0.7455880..., 0.7817549..., 0.7834356...], [ 0.1900528..., 0.1995 ..., 0.2012606...], [ 0.5626319..., 0.5914544..., 0.5894500...]])