Skip to content

Instantly share code, notes, and snippets.

@KelSolaar KelSolaar/cie_xyz.py
Created Sep 10, 2014

Embed
What would you like to do?
ColorChecker 2005 - Illuminants - CIE XYZ
{'dark skin': np.array([0.07049534, 0.1008, 0.09558313]),
'light skin': np.array([0.4709771, 0.3495, 0.11301649]),
'blue sky': np.array([0.37187544, 0.1836, 0.05327788]),
'foliage': np.array([0.07439008, 0.1325, 0.08761981]),
'blue flower': np.array([0.55702667, 0.2304, 0.01929602]),
'bluish green': np.array([0.72072938, 0.4178, -0.0702604]),
'orange': np.array([0.14092656, 0.3118, 0.31620069]),
'purplish blue': np.array([0.3568546, 0.1126, 0.06520827]),
'moderate red': np.array([0.22536132, 0.1938, 0.172956]),
'purple': np.array([0.10628412, 0.0637, 0.08666374]),
'yellow green': np.array([0.21863263, 0.4446, 0.22454692]),
'orange yellow': np.array([0.15152294, 0.4357, 0.39696499]),
'blue': np.array([0.19602153, 0.0575, 0.08631298]),
'green': np.array([0.13391435, 0.2318, 0.09493747]),
'red': np.array([0.08499972, 0.1257, 0.1698634]),
'yellow': np.array([0.09671971, 0.5981, 0.56859389]),
'magenta': np.array([0.44130321, 0.2009, 0.10519262]),
'cyan': np.array([0.42485575, 0.193, 0.02058289]),
'white 9.5 (.05 D)': np.array([2.40852113, 0.9131, -0.79085616]),
'neutral 8 (.23 D)': np.array([1.30554955, 0.5894, -0.2504183]),
'neutral 6.5 (.44 D)': np.array([0.64940456, 0.3632, 0.00163727]),
'neutral 5 (.70 D)': np.array([0.25506814, 0.1915, 0.08849752]),
'neutral 3.5 (1.05 D)': np.array([0.0837212, 0.0883, 0.07685141]),
'black 2 (1.5 D)': np.array([0.01750104, 0.0311, 0.03932658])}
{"A": np.array([1.09846607, 1., 0.3558228]),
"B": np.array([0.99092745, 1., 0.85313273]),
"C": np.array([0.98070597, 1., 1.18224949]),
"D50": np.array([0.96421199, 1., 0.82518828]),
"D55": np.array([0.95679705, 1., 0.92148059]),
"D60": np.array([0.95264607, 1., 1.00882518]),
"D65": np.array([0.95042855, 1., 1.08890037]),
"D75": np.array([0.94972209, 1., 1.22639352]),
"E": np.array([1., 1., 1.]),
"F1": np.array([0.92833635, 1., 1.0366472]),
"F10": np.array([0.96173512, 1., 0.81712333]),
"F12": np.array([1.0804629, 1., 0.39227517]),
"F2": np.array([0.99144661, 1., 0.67315942]),
"F3": np.array([1.03753487, 1., 0.49860512]),
"F4": np.array([1.09147264, 1., 0.38813261]),
"F5": np.array([0.9087197, 1., 0.98722887]),
"F6": np.array([0.97309128, 1., 0.6019055]),
"F7": np.array([0.95017156, 1., 1.08629642]),
"F8": np.array([0.96412544, 1., 0.82333101]),
"F9": np.array([1.00364797, 1., 0.67868351]),
"FL3.1": np.array([1.09267785, 1., 0.38687673]),
"FL3.10": np.array([0.97065057, 1., 0.83872295]),
"FL3.11": np.array([0.94507432, 1., 0.96723781]),
"FL3.12": np.array([1.08424788, 1., 0.39304407]),
"FL3.13": np.array([1.02848448, 1., 0.65648856]),
"FL3.14": np.array([0.95507584, 1., 0.81549061]),
"FL3.15": np.array([0.95107612, 1., 1.09070673]),
"FL3.2": np.array([1.01987154, 1., 0.65853771]),
"FL3.3": np.array([0.9168915, 1., 0.99126243]),
"FL3.4": np.array([1.0954324, 1., 0.37783384]),
"FL3.5": np.array([1.02108468, 1., 0.70254424]),
"FL3.6": np.array([0.96889904, 1., 0.80887359]),
"FL3.7": np.array([1.08378693, 1., 0.38821118]),
"FL3.8": np.array([0.99686324, 1., 0.61288078]),
"FL3.9": np.array([0.97429305, 1., 0.81053954]),
"HP1": np.array([1.28448407, 1., 0.12542604]),
"HP2": np.array([1.14897929, 1., 0.25578912]),
"HP3": np.array([1.0557385, 1., 0.39814679]),
"HP4": np.array([1.00380621, 1., 0.62966763]),
"HP5": np.array([1.01679082, 1., 0.67610122])}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
You can’t perform that action at this time.