colour.corresponding.prediction Module¶
Corresponding Chromaticities Prediction¶
Defines objects to compute corresponding chromaticities prediction.
References
[1] | Breneman, E. J. (1987). Corresponding chromaticities for different states of adaptation to complex visual fields. JOSA A, 4(6). Retrieved from http://www.opticsinfobase.org/josaa/fulltext.cfm?uri=josaa-4-6-1115&id=2783 |
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class
colour.corresponding.prediction.
CorrespondingChromaticitiesPrediction
[source]¶ Bases:
colour.corresponding.prediction.CorrespondingChromaticitiesPrediction
Defines a chromatic adaptation model prediction.
Parameters: - name (unicode) – Test colour name.
- uvp_t (numeric) – Chromaticity coordinates \(uv_t^p\) of test colour.
- uvp_m (array_like, (2,)) – Chromaticity coordinates \(uv_m^p\) of matching colour.
- uvp_p (array_like, (2,)) – Chromaticity coordinates \(uv_p^p\) of predicted colour.
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colour.corresponding.prediction.
corresponding_chromaticities_prediction_CIE1994
(experiment=1)[source]¶ Returns the corresponding chromaticities prediction for CIE 1994 chromatic adaptation model.
Parameters: experiment (integer, optional) – {1, 2, 3, 4, 6, 8, 9, 11, 12} Breneman (1987) experiment number. Returns: Corresponding chromaticities prediction. Return type: tuple Examples
>>> from pprint import pprint >>> pr = corresponding_chromaticities_prediction_CIE1994(2) >>> pr = [(p.uvp_m, p.uvp_p) for p in pr] >>> pprint(pr) [((0.207, 0.486), (0.2133909..., 0.4939794...)), ((0.449, 0.511), (0.4450345..., 0.5120939...)), ((0.263, 0.505), (0.2693262..., 0.5083212...)), ((0.322, 0.545), (0.3308593..., 0.5443940...)), ((0.316, 0.537), (0.3225195..., 0.5377826...)), ((0.265, 0.553), (0.2709737..., 0.5513666...)), ((0.221, 0.538), (0.2280786..., 0.5351592...)), ((0.135, 0.532), (0.1439436..., 0.5303576...)), ((0.145, 0.472), (0.1500743..., 0.4842895...)), ((0.163, 0.331), (0.1559955..., 0.3772379...)), ((0.176, 0.431), (0.1806318..., 0.4518475...)), ((0.244, 0.349), (0.2454445..., 0.4018004...))]
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colour.corresponding.prediction.
corresponding_chromaticities_prediction_CMCCAT2000
(experiment=1)[source]¶ Returns the corresponding chromaticities prediction for CMCCAT2000 chromatic adaptation model.
Parameters: experiment (integer, optional) – {1, 2, 3, 4, 6, 8, 9, 11, 12} Breneman (1987) experiment number. Returns: Corresponding chromaticities prediction. Return type: tuple Examples
>>> from pprint import pprint >>> pr = corresponding_chromaticities_prediction_CMCCAT2000(2) >>> pr = [(p.uvp_m, p.uvp_p) for p in pr] >>> pprint(pr) [((0.207, 0.486), (0.2083210..., 0.4727168...)), ((0.449, 0.511), (0.4459270..., 0.5077735...)), ((0.263, 0.505), (0.2640262..., 0.4955361...)), ((0.322, 0.545), (0.3316884..., 0.5431580...)), ((0.316, 0.537), (0.3222624..., 0.5357624...)), ((0.265, 0.553), (0.2710705..., 0.5501997...)), ((0.221, 0.538), (0.2261826..., 0.5294740...)), ((0.135, 0.532), (0.1439693..., 0.5190984...)), ((0.145, 0.472), (0.1494835..., 0.4556760...)), ((0.163, 0.331), (0.1563172..., 0.3164151...)), ((0.176, 0.431), (0.1763199..., 0.4127589...)), ((0.244, 0.349), (0.2287638..., 0.3499324...))]
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colour.corresponding.prediction.
corresponding_chromaticities_prediction_Fairchild1990
(experiment=1)[source]¶ Returns the corresponding chromaticities prediction for Fairchild (1990) chromatic adaptation model.
Parameters: experiment (integer, optional) – {1, 2, 3, 4, 6, 8, 9, 11, 12} Breneman (1987) experiment number. Returns: Corresponding chromaticities prediction. Return type: tuple Examples
>>> from pprint import pprint >>> pr = corresponding_chromaticities_prediction_Fairchild1990(2) >>> pr = [(p.uvp_m, p.uvp_p) for p in pr] >>> pprint(pr) [((0.207, 0.486), (0.2089528..., 0.4724034...)), ((0.449, 0.511), (0.4375652..., 0.5121030...)), ((0.263, 0.505), (0.2621362..., 0.4972538...)), ((0.322, 0.545), (0.3235312..., 0.5475665...)), ((0.316, 0.537), (0.3151390..., 0.5398333...)), ((0.265, 0.553), (0.2634745..., 0.5544335...)), ((0.221, 0.538), (0.2211595..., 0.5324470...)), ((0.135, 0.532), (0.1396949..., 0.5207234...)), ((0.145, 0.472), (0.1512288..., 0.4533041...)), ((0.163, 0.331), (0.1715691..., 0.3026264...)), ((0.176, 0.431), (0.1825792..., 0.4077892...)), ((0.244, 0.349), (0.2418904..., 0.3413401...))]
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colour.corresponding.prediction.
corresponding_chromaticities_prediction_VonKries
(experiment=1, transform=u'CAT02')[source]¶ Returns the corresponding chromaticities prediction for Von Kries chromatic adaptation model using given transform.
Parameters: - experiment (integer, optional) – {1, 2, 3, 4, 6, 8, 9, 11, 12} Breneman (1987) experiment number.
- transform (unicode, optional) – {‘CAT02’, ‘XYZ Scaling’, ‘Von Kries’, ‘Bradford’, ‘Sharp’, ‘Fairchild’, ‘CMCCAT97’, ‘CMCCAT2000’, ‘CAT02_BRILL_CAT’, ‘Bianco’, ‘Bianco PC’}, Chromatic adaptation transform.
Returns: Corresponding chromaticities prediction.
Return type: Examples
>>> from pprint import pprint >>> pr = corresponding_chromaticities_prediction_VonKries(2, 'Bradford') >>> pr = [(p.uvp_m, p.uvp_p) for p in pr] >>> pprint(pr) [((0.207, 0.486), (0.2082014..., 0.4722922...)), ((0.449, 0.511), (0.4489102..., 0.5071602...)), ((0.263, 0.505), (0.2643545..., 0.4959631...)), ((0.322, 0.545), (0.3348730..., 0.5471220...)), ((0.316, 0.537), (0.3248758..., 0.5390589...)), ((0.265, 0.553), (0.2733105..., 0.5555028...)), ((0.221, 0.538), (0.2271480..., 0.5331317...)), ((0.135, 0.532), (0.1442730..., 0.5226804...)), ((0.145, 0.472), (0.1498745..., 0.4550785...)), ((0.163, 0.331), (0.1564975..., 0.3148795...)), ((0.176, 0.431), (0.1760593..., 0.4103772...)), ((0.244, 0.349), (0.2259805..., 0.3465291...))]
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colour.corresponding.prediction.
CORRESPONDING_CHROMATICITIES_PREDICTION_MODELS
= CaseInsensitiveMapping({u'vonkries': <function corresponding_chromaticities_prediction_VonKries at 0x7f5de06d3410>, u'Von Kries': <function corresponding_chromaticities_prediction_VonKries at 0x7f5de06d3410>, u'CMCCAT2000': <function corresponding_chromaticities_prediction_CMCCAT2000 at 0x7f5de06d3320>, u'CIE 1994': <function corresponding_chromaticities_prediction_CIE1994 at 0x7f5de06d0ed8>, u'Fairchild 1990': <function corresponding_chromaticities_prediction_Fairchild1990 at 0x7f5de06d3398>})¶ Aggregated corresponding chromaticities prediction models.
- CORRESPONDING_CHROMATICITIES_PREDICTION_MODELS : CaseInsensitiveMapping
- {‘CIE 1994’, ‘CMCCAT2000’, ‘Fairchild 1990’, ‘Von Kries’}
Aliases:
- ‘vonkries’: ‘Von Kries’
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colour.corresponding.prediction.
corresponding_chromaticities_prediction
(experiment=1, model=u'Von Kries', **kwargs)[source]¶ Returns the corresponding chromaticities prediction for given chromatic adaptation model.
Parameters: - experiment (integer, optional) – {1, 2, 3, 4, 6, 8, 9, 11, 12} Breneman (1987) experiment number.
- model (unicode, optional) – {‘Von Kries’, ‘CIE 1994’, ‘CMCCAT2000’, ‘Fairchild 1990’}, Chromatic adaptation model.
- **kwargs (dict, optional) – Keywords arguments.
Returns: Corresponding chromaticities prediction.
Return type: Examples
>>> from pprint import pprint >>> pr = corresponding_chromaticities_prediction(2, 'CMCCAT2000') >>> pr = [(p.uvp_m, p.uvp_p) for p in pr] >>> pprint(pr) [((0.207, 0.486), (0.2083210..., 0.4727168...)), ((0.449, 0.511), (0.4459270..., 0.5077735...)), ((0.263, 0.505), (0.2640262..., 0.4955361...)), ((0.322, 0.545), (0.3316884..., 0.5431580...)), ((0.316, 0.537), (0.3222624..., 0.5357624...)), ((0.265, 0.553), (0.2710705..., 0.5501997...)), ((0.221, 0.538), (0.2261826..., 0.5294740...)), ((0.135, 0.532), (0.1439693..., 0.5190984...)), ((0.145, 0.472), (0.1494835..., 0.4556760...)), ((0.163, 0.331), (0.1563172..., 0.3164151...)), ((0.176, 0.431), (0.1763199..., 0.4127589...)), ((0.244, 0.349), (0.2287638..., 0.3499324...))]