colour-science
Advanced tools
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Colour <https://github.com/colour-science/colour>__ is an open-source
Python <https://www.python.org>__ package providing a comprehensive number
of algorithms and datasets for colour science.
It is freely available under the
BSD-3-Clause <https://opensource.org/licenses/BSD-3-Clause>__ terms.
Colour is an affiliated project of NumFOCUS <https://numfocus.org>__, a
501(c)(3) nonprofit in the United States.
.. contents:: Table of Contents :backlinks: none :depth: 2
.. sectnum::
The draft release notes of the
develop <https://github.com/colour-science/colour/tree/develop>__
branch are available at this
url <https://gist.github.com/KelSolaar/4a6ebe9ec3d389f0934b154fec8df51d>__.
We are grateful 💖 for the support of our
sponsors <https://github.com/colour-science/colour/blob/develop/SPONSORS.rst>.
If you'd like to join them, please consider
becoming a sponsor on OpenCollective <https://opencollective.com/colour-science>.
Most of the objects are available from the colour namespace:
.. code-block:: python
import colour
Automatic Colour Conversion Graph - colour.graph
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Colour_Automatic_Conversion_Graph.png
.. code-block:: python
import colour
sd = colour.SDS_COLOURCHECKERS["ColorChecker N Ohta"]["dark skin"]
colour.convert(sd, "Spectral Distribution", "sRGB", verbose={"mode": "Short"})
.. code-block:: text
===============================================================================
* *
* [ Conversion Path ] *
* *
* "sd_to_XYZ" --> "XYZ_to_sRGB" *
* *
===============================================================================
[ 0.49034776 0.30185875 0.23587685]
.. code-block:: python
import colour
sd = colour.SDS_COLOURCHECKERS["ColorChecker N Ohta"]["dark skin"]
illuminant = colour.SDS_ILLUMINANTS["FL2"]
colour.convert(
sd,
"Spectral Distribution",
"sRGB",
sd_to_XYZ={"illuminant": illuminant},
)
.. code-block:: text
[ 0.47924575 0.31676968 0.17362725]
Chromatic Adaptation - ``colour.adaptation``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import colour
XYZ = [0.20654008, 0.12197225, 0.05136952]
D65 = colour.CCS_ILLUMINANTS["CIE 1931 2 Degree Standard Observer"]["D65"]
A = colour.CCS_ILLUMINANTS["CIE 1931 2 Degree Standard Observer"]["A"]
colour.chromatic_adaptation(XYZ, colour.xy_to_XYZ(D65), colour.xy_to_XYZ(A))
.. code-block:: text
[ 0.25331034 0.13765286 0.01543185]
.. code-block:: python
import colour
sorted(colour.CHROMATIC_ADAPTATION_METHODS)
.. code-block:: text
['CIE 1994', 'CMCCAT2000', 'Fairchild 1990', 'Li 2025', 'Von Kries', 'Zhai 2018', 'vK20']
Algebra - ``colour.algebra``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Kernel Interpolation
********************
.. code-block:: python
import colour
y = [5.9200, 9.3700, 10.8135, 4.5100, 69.5900, 27.8007, 86.0500]
x = range(len(y))
colour.KernelInterpolator(x, y)([0.25, 0.75, 5.50])
.. code-block:: text
[ 6.18062083 8.08238488 57.85783403]
Sprague (1880) Interpolation
****************************
.. code-block:: python
import colour
y = [5.9200, 9.3700, 10.8135, 4.5100, 69.5900, 27.8007, 86.0500]
x = range(len(y))
colour.SpragueInterpolator(x, y)([0.25, 0.75, 5.50])
.. code-block:: text
[ 6.72951612 7.81406251 43.77379185]
Colour Appearance Models - ``colour.appearance``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
XYZ_w = [95.05, 100.00, 108.88]
L_A = 318.31
Y_b = 20.0
colour.XYZ_to_CIECAM02(XYZ, XYZ_w, L_A, Y_b)
.. code-block:: text
CAM_Specification_CIECAM02(J=34.434525727858997, C=67.365010921125915, h=22.279164147957076, s=62.814855853327131, Q=177.47124941102123, M=70.024939419291385, H=2.689608534423904, HC=None)
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
XYZ_w = [95.05, 100.00, 108.88]
L_A = 318.31
Y_b = 20.0
colour.XYZ_to_CIECAM16(XYZ, XYZ_w, L_A, Y_b)
.. code-block:: text
CAM_Specification_CIECAM16(J=33.880368498111686, C=69.444353357408033, h=19.510887327451748, s=64.03612114840314, Q=176.03752758512178, M=72.18638534116765, H=399.52975599115319, HC=None)
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
XYZ_w = [95.05, 100.00, 108.88]
L_A = 318.31
Y_b = 20.0
colour.XYZ_to_CAM16(XYZ, XYZ_w, L_A, Y_b)
.. code-block:: text
CAM_Specification_CAM16(J=33.880368498111686, C=69.444353357408033, h=19.510887327451748, s=64.03612114840314, Q=176.03752758512178, M=72.18638534116765, H=399.52975599115319, HC=None)
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
XYZ_w = [95.05, 100.00, 108.88]
L_A = 318.31
Y_b = 20.0
colour.XYZ_to_Hellwig2022(XYZ, XYZ_w, L_A, Y_b)
.. code-block:: text
CAM_Specification_Hellwig2022(J=33.880368498111686, C=37.579419116276348, h=19.510887327451748, s=109.33343382561695, Q=45.34489577734751, M=49.577131618021212, H=399.52975599115319, HC=None, J_HK=39.41741758094139, Q_HK=52.755585941150315)
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
XYZ_w = [95.05, 100.00, 108.88]
L_A = 318.31
Y_b = 20.0
colour.XYZ_to_Kim2009(XYZ, XYZ_w, L_A)
.. code-block:: text
CAM_Specification_Kim2009(J=19.879918542450937, C=55.83905525087696, h=22.013388165090031, s=112.9797935493912, Q=36.309026130161513, M=46.346415858227871, H=2.3543198369639753, HC=None)
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
XYZ_w = [95.05, 100.00, 108.88]
L_A = 318.31
Y_b = 20.0
colour.XYZ_to_sCAM(XYZ, XYZ_w, L_A, Y_b)
.. code-block:: text
CAM_Specification_sCAM(J=42.550992142462782, C=40.419439198593302, h=20.904455433026421, Q=175.74578999778015, M=14.325369984981474, H=7.1106008503613021, HC=None, V=81.92545469934403, K=18.07454530065597, W=0.023675944970833029, D=99.976324055029167)
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
XYZ_w = [95.05, 100.00, 108.88]
L_A = 318.31
Y_b = 20.0
colour.XYZ_to_ZCAM(XYZ, XYZ_w, L_A, Y_b)
.. code-block:: text
CAM_Specification_ZCAM(J=38.347186278956357, C=21.121389892085183, h=33.711578931095183, s=81.444585609489536, Q=76.986725284523772, M=42.403805833900513, H=0.45779200212217158, HC=None, V=43.623590687423551, K=43.20894953152817, W=34.829588380192149)
Colour Blindness - ``colour.blindness``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import colour
cmfs = colour.colorimetry.MSDS_CMFS_LMS["Stockman & Sharpe 2 Degree Cone Fundamentals"]
colour.msds_cmfs_anomalous_trichromacy_Machado2009(cmfs, [15, 0, 0])[450]
.. code-block:: text
[ 0.08912884 0.0870524 0.955393 ]
.. code-block:: python
import colour
cmfs = colour.colorimetry.MSDS_CMFS_LMS["Stockman & Sharpe 2 Degree Cone Fundamentals"]
primaries = colour.MSDS_DISPLAY_PRIMARIES["Apple Studio Display"]
d_LMS = (15, 0, 0)
colour.matrix_anomalous_trichromacy_Machado2009(cmfs, primaries, d_LMS)
.. code-block:: text
[[-0.27774652 2.65150084 -1.37375432]
[ 0.27189369 0.20047862 0.52762768]
[ 0.00644047 0.25921579 0.73434374]]
Colour Correction - ``colour characterisation``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import colour
import numpy as np
RGB = [0.17224810, 0.09170660, 0.06416938]
M_T = np.random.random((24, 3))
M_R = M_T + (np.random.random((24, 3)) - 0.5) * 0.5
colour.colour_correction(RGB, M_T, M_R)
.. code-block:: text
[ 0.17960686 0.08935744 0.06766639] # (results will vary due to random inputs)
.. code-block:: python
import colour
sorted(colour.COLOUR_CORRECTION_METHODS)
.. code-block:: text
['Cheung 2004', 'Finlayson 2015', 'Vandermonde']
ACES Input Transform - ``colour characterisation``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import colour
sensitivities = colour.MSDS_CAMERA_SENSITIVITIES["Nikon 5100 (NPL)"]
illuminant = colour.SDS_ILLUMINANTS["D55"]
colour.matrix_idt(sensitivities, illuminant)
.. code-block:: text
(array([[ 0.59368175, 0.30418373, 0.10213451],
[ 0.0045798 , 1.14946005, -0.15403985],
[ 0.03552214, -0.16312291, 1.12760078]]), array([ 1.58214188, 1. , 1.28910346]))
Colorimetry - ``colour.colorimetry``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Spectral Computations
*********************
.. code-block:: python
import colour
colour.sd_to_XYZ(colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"])
.. code-block:: text
[ 36.94726204 32.62076174 13.0143849 ]
.. code-block:: python
import colour
sorted(colour.SD_TO_XYZ_METHODS)
.. code-block:: text
['ASTM E308', 'Integration', 'astm2015']
Multi-Spectral Computations
***************************
.. code-block:: python
import colour
msds = [
[
[
0.01367208,
0.09127947,
0.01524376,
0.02810712,
0.19176012,
0.04299992,
],
[
0.00959792,
0.25822842,
0.41388571,
0.22275120,
0.00407416,
0.37439537,
],
[
0.01791409,
0.29707789,
0.56295109,
0.23752193,
0.00236515,
0.58190280,
],
],
[
[
0.01492332,
0.10421912,
0.02240025,
0.03735409,
0.57663846,
0.32416266,
],
[
0.04180972,
0.26402685,
0.03572137,
0.00413520,
0.41808194,
0.24696727,
],
[
0.00628672,
0.11454948,
0.02198825,
0.39906919,
0.63640803,
0.01139849,
],
],
[
[
0.04325933,
0.26825359,
0.23732357,
0.05175860,
0.01181048,
0.08233768,
],
[
0.02484169,
0.12027161,
0.00541695,
0.00654612,
0.18603799,
0.36247808,
],
[
0.03102159,
0.16815442,
0.37186235,
0.08610666,
0.00413520,
0.78492409,
],
],
[
[
0.11682307,
0.78883040,
0.74468607,
0.83375293,
0.90571451,
0.70054168,
],
[
0.06321812,
0.41898224,
0.15190357,
0.24591440,
0.55301750,
0.00657664,
],
[
0.00305180,
0.11288624,
0.11357290,
0.12924391,
0.00195315,
0.21771573,
],
],
]
colour.msds_to_XYZ(
msds,
method="Integration",
shape=colour.SpectralShape(400, 700, 60),
)
.. code-block:: text
[[[ 7.68544647 4.09414317 8.49324254]
[ 17.12567298 27.77681821 25.52573685]
[ 19.10280411 34.45851476 29.76319628]]
[[ 18.03375827 8.62340812 9.71702574]
[ 15.03110867 6.54001068 24.53208465]
[ 37.68269495 26.4411103 10.66361816]]
[[ 8.09532373 12.75333339 25.79613956]
[ 7.09620297 2.79257389 11.15039854]
[ 8.933163 19.39985815 17.14915636]]
[[ 80.00969553 80.39810464 76.08184429]
[ 33.27611427 24.38947838 39.34919287]
[ 8.89425686 11.05185138 10.86767594]]]
.. code-block:: python
import colour
sorted(colour.MSDS_TO_XYZ_METHODS)
.. code-block:: text
['ASTM E308', 'Integration', 'astm2015']
Blackbody Spectral Radiance Computation
***************************************
.. code-block:: python
import colour
colour.sd_blackbody(5000)
.. code-block:: text
[[ 360. 6654.27827064]
[ 361. 6709.60527925]
[ 362. 6764.82512152]
...
[ 780. 10573.85196369]]
Dominant, Complementary Wavelength & Colour Purity Computation
**************************************************************
.. code-block:: python
import colour
xy = [0.54369557, 0.32107944]
xy_n = [0.31270000, 0.32900000]
colour.dominant_wavelength(xy, xy_n)
.. code-block:: text
(array(616.0), array([ 0.68354746, 0.31628409]), array([ 0.68354746, 0.31628409]))
Lightness Computation
*********************
.. code-block:: python
import colour
colour.lightness(12.19722535)
.. code-block:: text
41.5278758447
.. code-block:: python
import colour
sorted(colour.LIGHTNESS_METHODS)
.. code-block:: text
['Abebe 2017', 'CIE 1976', 'Fairchild 2010', 'Fairchild 2011', 'Glasser 1958', 'Lstar1976', 'Wyszecki 1963']
Luminance Computation
*********************
.. code-block:: python
import colour
colour.luminance(41.52787585)
.. code-block:: text
12.1972253534
.. code-block:: python
import colour
sorted(colour.LUMINANCE_METHODS)
.. code-block:: text
['ASTM D1535', 'Abebe 2017', 'CIE 1976', 'Fairchild 2010', 'Fairchild 2011', 'Newhall 1943', 'astm2008', 'cie1976']
Whiteness Computation
*********************
.. code-block:: python
import colour
XYZ = [95.00000000, 100.00000000, 105.00000000]
XYZ_0 = [94.80966767, 100.00000000, 107.30513595]
colour.whiteness(XYZ, XYZ_0)
.. code-block:: text
[ 93.756 -1.33000001]
.. code-block:: python
import colour
sorted(colour.WHITENESS_METHODS)
.. code-block:: text
['ASTM E313', 'Berger 1959', 'CIE 2004', 'Ganz 1979', 'Stensby 1968', 'Taube 1960', 'cie2004']
Yellowness Computation
**********************
.. code-block:: python
import colour
XYZ = [95.00000000, 100.00000000, 105.00000000]
colour.yellowness(XYZ)
.. code-block:: text
4.34
.. code-block:: python
import colour
sorted(colour.YELLOWNESS_METHODS)
.. code-block:: text
['ASTM D1925', 'ASTM E313', 'ASTM E313 Alternative']
Luminous Flux, Efficiency & Efficacy Computation
************************************************
.. code-block:: python
import colour
sd = colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"]
colour.luminous_flux(sd)
.. code-block:: text
23807.6555274
.. code-block:: python
import colour
sd = colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"]
colour.luminous_efficiency(sd)
.. code-block:: text
0.199439356245
.. code-block:: python
import colour
sd = colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"]
colour.luminous_efficacy(sd)
.. code-block:: text
136.217080315
Contrast Sensitivity Function - ``colour.contrast``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import colour
colour.contrast_sensitivity_function(u=4, X_0=60, E=65)
.. code-block:: text
358.511807899
.. code-block:: python
import colour
sorted(colour.CONTRAST_SENSITIVITY_METHODS)
.. code-block:: text
['Barten 1999']
Colour Difference - ``colour.difference``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import colour
Lab_1 = [100.00000000, 21.57210357, 272.22819350]
Lab_2 = [100.00000000, 426.67945353, 72.39590835]
colour.delta_E(Lab_1, Lab_2)
.. code-block:: text
94.0356490267
.. code-block:: python
import colour
sorted(colour.DELTA_E_METHODS)
.. code-block:: text
['CAM02-LCD', 'CAM02-SCD', 'CAM02-UCS', 'CAM16-LCD', 'CAM16-SCD', 'CAM16-UCS', 'CIE 1976', 'CIE 1994', 'CIE 2000', 'CMC', 'DIN99', 'HyAB', 'HyCH', 'ITP', 'cie1976', 'cie1994', 'cie2000']
IO - ``colour.io``
~~~~~~~~~~~~~~~~~~
Images
******
.. code-block:: python
import colour
RGB = colour.read_image("Ishihara_Colour_Blindness_Test_Plate_3.png")
RGB.shape
.. code-block:: text
(276, 281, 3)
Spectral Images - Fichet et al. (2021)
**************************************
.. code-block:: python
import colour
components = colour.read_spectral_image_Fichet2021("Polarised.exr")
list(components.keys())
.. code-block:: text
['S0', 'S1', 'S2', 'S3']
Look Up Table (LUT) Data
************************
.. code-block:: python
import colour
LUT = colour.read_LUT("ACES_Proxy_10_to_ACES.cube")
print(LUT)
.. code-block:: text
LUT3x1D - ACES Proxy 10 to ACES
-------------------------------
Dimensions : 2
Domain : [[0 0 0]
[1 1 1]]
Size : (32, 3)
.. code-block:: python
import colour
RGB = [0.17224810, 0.09170660, 0.06416938]
LUT.apply(RGB)
.. code-block:: text
[ 0.00575674, 0.00181493, 0.00121419]
Colour Models - ``colour.models``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CIE xyY Colourspace
*******************
.. code-block:: python
import colour
colour.XYZ_to_xyY([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 0.54369557 0.32107944 0.12197225]
CIE L*a*b* Colourspace
**********************
.. code-block:: python
import colour
colour.XYZ_to_Lab([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 41.52787529 52.63858304 26.92317922]
CIE L*u*v* Colourspace
**********************
.. code-block:: python
import colour
colour.XYZ_to_Luv([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 41.52787529 96.83626054 17.75210149]
CIE 1960 UCS Colourspace
************************
.. code-block:: python
import colour
colour.XYZ_to_UCS([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 0.13769339 0.12197225 0.1053731 ]
CIE 1964 U*V*W* Colourspace
***************************
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
colour.XYZ_to_UVW(XYZ)
.. code-block:: text
[ 94.55035725 11.55536523 40.54757405]
CAM02-LCD, CAM02-SCD, and CAM02-UCS Colourspaces - Luo, Cui and Li (2006)
*************************************************************************
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
XYZ_w = [95.05, 100.00, 108.88]
L_A = 318.31
Y_b = 20.0
surround = colour.VIEWING_CONDITIONS_CIECAM02["Average"]
specification = colour.XYZ_to_CIECAM02(XYZ, XYZ_w, L_A, Y_b, surround)
JMh = [specification.J, specification.M, specification.h]
colour.JMh_CIECAM02_to_CAM02UCS(JMh)
.. code-block:: text
[ 47.16899898 38.72623785 15.8663383 ]
.. code-block:: python
import colour
XYZ = [0.20654008, 0.12197225, 0.05136952]
XYZ_w = [95.05 / 100, 100.00 / 100, 108.88 / 100]
L_A = 318.31
Y_b = 20.0
colour.XYZ_to_CAM02UCS(XYZ, XYZ_w=XYZ_w, L_A=L_A, Y_b=Y_b)
.. code-block:: text
[ 47.16899898 38.72623785 15.8663383 ]
CAM16-LCD, CAM16-SCD, and CAM16-UCS Colourspaces - Li et al. (2017)
*******************************************************************
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
XYZ_w = [95.05, 100.00, 108.88]
L_A = 318.31
Y_b = 20.0
surround = colour.VIEWING_CONDITIONS_CAM16["Average"]
specification = colour.XYZ_to_CAM16(XYZ, XYZ_w, L_A, Y_b, surround)
JMh = [specification.J, specification.M, specification.h]
colour.JMh_CAM16_to_CAM16UCS(JMh)
.. code-block:: text
[ 46.55542238 40.22460974 14.25288392]
.. code-block:: python
import colour
XYZ = [0.20654008, 0.12197225, 0.05136952]
XYZ_w = [95.05 / 100, 100.00 / 100, 108.88 / 100]
L_A = 318.31
Y_b = 20.0
colour.XYZ_to_CAM16UCS(XYZ, XYZ_w=XYZ_w, L_A=L_A, Y_b=Y_b)
.. code-block:: text
[ 46.55542238 40.22460974 14.25288392]
DIN99 Colourspace and DIN99b, DIN99c, DIN99d Refined Formulas
*************************************************************
.. code-block:: python
import colour
Lab = [41.52787529, 52.63858304, 26.92317922]
colour.Lab_to_DIN99(Lab)
.. code-block:: text
[ 53.22821988 28.41634656 3.89839552]
ICaCb Colourspace
******************
.. code-block:: python
import colour
colour.XYZ_to_ICaCb([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 0.06875297 0.05753352 0.02081548]
IgPgTg Colourspace
******************
.. code-block:: python
import colour
colour.XYZ_to_IgPgTg([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 0.42421258 0.18632491 0.10689223]
IPT Colourspace
***************
.. code-block:: python
import colour
colour.XYZ_to_IPT([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 0.38426191 0.38487306 0.18886838]
Jzazbz Colourspace
******************
.. code-block:: python
import colour
colour.XYZ_to_Jzazbz([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 0.00535048 0.00924302 0.00526007]
Hunter L,a,b Colour Scale
*************************
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
colour.XYZ_to_Hunter_Lab(XYZ)
.. code-block:: text
[ 34.92452577 47.06189858 14.38615107]
Hunter Rd,a,b Colour Scale
**************************
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
colour.XYZ_to_Hunter_Rdab(XYZ)
.. code-block:: text
[ 12.197225 57.12537874 17.46241341]
Oklab Colourspace
*****************
.. code-block:: python
import colour
colour.XYZ_to_Oklab([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 0.51634019 0.154695 0.06289579]
OSA UCS Colourspace
*******************
.. code-block:: python
import colour
XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100]
colour.XYZ_to_OSA_UCS(XYZ)
.. code-block:: text
[-3.0049979 2.99713697 -9.66784231]
ProLab Colourspace
******************
.. code-block:: python
import colour
colour.XYZ_to_ProLab([0.51634019, 0.15469500, 0.06289579])
.. code-block:: text
[ 59.8466286 115.0396354 20.12510352]
Ragoo and Farup (2021) Optimised IPT Colourspace
************************************************
.. code-block:: python
import colour
colour.XYZ_to_IPT_Ragoo2021([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 0.42248243 0.2910514 0.20410663]
Yrg Colourspace - Kirk (2019)
*****************************
.. code-block:: python
import colour
colour.XYZ_to_Yrg([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 0.13137801 0.49037645 0.37777388]
hdr-CIELAB Colourspace
**********************
.. code-block:: python
import colour
colour.XYZ_to_hdr_CIELab([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 51.87002062 60.4763385 32.14551912]
hdr-IPT Colourspace
*******************
.. code-block:: python
import colour
colour.XYZ_to_hdr_IPT([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[ 25.18261761 -22.62111297 3.18511729]
Y'CbCr Colour Encoding
**********************
.. code-block:: python
import colour
colour.RGB_to_YCbCr([1.0, 1.0, 1.0])
.. code-block:: text
[ 0.92156863 0.50196078 0.50196078]
YCoCg Colour Encoding
*********************
.. code-block:: python
import colour
colour.RGB_to_YCoCg([0.75, 0.75, 0.0])
.. code-block:: text
[ 0.5625 0.375 0.1875]
ICtCp Colour Encoding
*********************
.. code-block:: python
import colour
colour.RGB_to_ICtCp([0.45620519, 0.03081071, 0.04091952])
.. code-block:: text
[ 0.07351364 0.00475253 0.09351596]
HSV Colourspace
***************
.. code-block:: python
import colour
colour.RGB_to_HSV([0.45620519, 0.03081071, 0.04091952])
.. code-block:: text
[ 0.99603944 0.93246304 0.45620519]
IHLS Colourspace
****************
.. code-block:: python
import colour
colour.RGB_to_IHLS([0.45620519, 0.03081071, 0.04091952])
.. code-block:: text
[ 6.26236117 0.12197943 0.42539448]
Prismatic Colourspace
*********************
.. code-block:: python
import colour
colour.RGB_to_Prismatic([0.25, 0.50, 0.75])
.. code-block:: text
[ 0.75 0.16666667 0.33333333 0.5 ]
RGB Colourspace and Transformations
***********************************
.. code-block:: python
import colour
XYZ = [0.21638819, 0.12570000, 0.03847493]
illuminant_XYZ = [0.34570, 0.35850]
illuminant_RGB = [0.31270, 0.32900]
chromatic_adaptation_transform = "Bradford"
matrix_XYZ_to_RGB = [
[3.24062548, -1.53720797, -0.49862860],
[-0.96893071, 1.87575606, 0.04151752],
[0.05571012, -0.20402105, 1.05699594],
]
colour.XYZ_to_RGB(
XYZ,
illuminant_XYZ,
illuminant_RGB,
matrix_XYZ_to_RGB,
chromatic_adaptation_transform,
)
.. code-block:: text
[ 0.45595571 0.03039702 0.04087245]
RGB Colourspace Derivation
**************************
.. code-block:: python
import colour
p = [0.73470, 0.26530, 0.00000, 1.00000, 0.00010, -0.07700]
w = [0.32168, 0.33767]
colour.normalised_primary_matrix(p, w)
.. code-block:: text
[[ 9.52552396e-01 0.00000000e+00 9.36786317e-05]
[ 3.43966450e-01 7.28166097e-01 -7.21325464e-02]
[ 0.00000000e+00 0.00000000e+00 1.00882518e+00]]
RGB Colourspaces
****************
.. code-block:: python
import colour
sorted(colour.RGB_COLOURSPACES)
.. code-block:: text
['ACES2065-1', 'ACEScc', 'ACEScct', 'ACEScg', 'ACESproxy', 'ARRI Wide Gamut 3', 'ARRI Wide Gamut 4', 'Adobe RGB (1998)', 'Adobe Wide Gamut RGB', 'Apple RGB', 'Best RGB', 'Beta RGB', 'Blackmagic Wide Gamut', 'CIE RGB', 'CIE XYZ-D65 - Scene-referred', 'Cinema Gamut', 'ColorMatch RGB', 'DCDM XYZ', 'DCI-P3', 'DCI-P3-P', 'DJI D-Gamut', 'DRAGONcolor', 'DRAGONcolor2', 'DaVinci Wide Gamut', 'Display P3', 'Don RGB 4', 'EBU Tech. 3213-E', 'ECI RGB v2', 'ERIMM RGB', 'Ekta Space PS 5', 'F-Gamut', 'F-Gamut C', 'FilmLight E-Gamut', 'FilmLight E-Gamut 2', 'Gamma 1.8 Encoded Rec.709', 'Gamma 2.2 Encoded AP1', 'Gamma 2.2 Encoded AdobeRGB', 'Gamma 2.2 Encoded Rec.709', 'ITU-R BT.2020', 'ITU-R BT.470 - 525', 'ITU-R BT.470 - 625', 'ITU-R BT.709', 'ITU-T H.273 - 22 Unspecified', 'ITU-T H.273 - Generic Film', 'Linear AdobeRGB', 'Linear P3-D65', 'Linear Rec.2020', 'Linear Rec.709 (sRGB)', 'Max RGB', 'N-Gamut', 'NTSC (1953)', 'NTSC (1987)', 'P3-D65', 'PLASA ANSI E1.54', 'Pal/Secam', 'ProPhoto RGB', 'Protune Native', 'REDWideGamutRGB', 'REDcolor', 'REDcolor2', 'REDcolor3', 'REDcolor4', 'RIMM RGB', 'ROMM RGB', 'Russell RGB', 'S-Gamut', 'S-Gamut3', 'S-Gamut3.Cine', 'SMPTE 240M', 'SMPTE C', 'Sharp RGB', 'V-Gamut', 'Venice S-Gamut3', 'Venice S-Gamut3.Cine', 'Xtreme RGB', 'aces', 'adobe1998', 'g18_rec709_scene', 'g22_adobergb_scene', 'g22_ap1_scene', 'g22_rec709_scene', 'lin_adobergb_scene', 'lin_ap0_scene', 'lin_ap1_scene', 'lin_ciexyzd65_scene', 'lin_p3d65_scene', 'lin_rec2020_scene', 'lin_rec709_scene', 'prophoto', 'sRGB', 'sRGB Encoded AP1', 'sRGB Encoded P3-D65', 'sRGB Encoded Rec.709 (sRGB)', 'srgb_ap1_scene', 'srgb_p3d65_scene', 'srgb_rec709_scene']
OETFs
*****
.. code-block:: python
import colour
sorted(colour.OETFS)
.. code-block:: text
['ARIB STD-B67', 'Blackmagic Film Generation 5', 'DaVinci Intermediate', 'ITU-R BT.2020', 'ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ', 'ITU-R BT.601', 'ITU-R BT.709', 'ITU-T H.273 IEC 61966-2', 'ITU-T H.273 Log', 'ITU-T H.273 Log Sqrt', 'SMPTE 240M']
EOTFs
*****
.. code-block:: python
import colour
sorted(colour.EOTFS)
.. code-block:: text
['DCDM', 'DICOM GSDF', 'ITU-R BT.1886', 'ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ', 'ITU-T H.273 ST.428-1', 'SMPTE 240M', 'ST 2084', 'sRGB']
OOTFs
*****
.. code-block:: python
import colour
sorted(colour.OOTFS)
.. code-block:: text
['ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ']
Log Encoding / Decoding
***********************
.. code-block:: python
import colour
sorted(colour.LOG_ENCODINGS)
.. code-block:: text
['ACEScc', 'ACEScct', 'ACESproxy', 'ARRI LogC3', 'ARRI LogC4', 'Apple Log Profile', 'Canon Log', 'Canon Log 2', 'Canon Log 3', 'Cineon', 'D-Log', 'ERIMM RGB', 'F-Log', 'F-Log2', 'Filmic Pro 6', 'L-Log', 'Log2', 'Log3G10', 'Log3G12', 'Mi-Log', 'N-Log', 'PLog', 'Panalog', 'Protune', 'REDLog', 'REDLogFilm', 'S-Log', 'S-Log2', 'S-Log3', 'T-Log', 'V-Log', 'ViperLog']
CCTFs Encoding / Decoding
*************************
.. code-block:: python
import colour
sorted(colour.CCTF_ENCODINGS)
.. code-block:: text
['ACEScc', 'ACEScct', 'ACESproxy', 'ARIB STD-B67', 'ARRI LogC3', 'ARRI LogC4', 'Apple Log Profile', 'Blackmagic Film Generation 5', 'Canon Log', 'Canon Log 2', 'Canon Log 3', 'Cineon', 'D-Log', 'DCDM', 'DICOM GSDF', 'DaVinci Intermediate', 'ERIMM RGB', 'F-Log', 'F-Log2', 'Filmic Pro 6', 'Gamma 2.2', 'Gamma 2.4', 'Gamma 2.6', 'ITU-R BT.1886', 'ITU-R BT.2020', 'ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ', 'ITU-R BT.601', 'ITU-R BT.709', 'ITU-T H.273 IEC 61966-2', 'ITU-T H.273 Log', 'ITU-T H.273 Log Sqrt', 'ITU-T H.273 ST.428-1', 'L-Log', 'Log2', 'Log3G10', 'Log3G12', 'Mi-Log', 'N-Log', 'PLog', 'Panalog', 'ProPhoto RGB', 'Protune', 'REDLog', 'REDLogFilm', 'RIMM RGB', 'ROMM RGB', 'S-Log', 'S-Log2', 'S-Log3', 'SMPTE 240M', 'ST 2084', 'T-Log', 'V-Log', 'ViperLog', 'sRGB']
Recommendation ITU-T H.273 Code points for Video Signal Type Identification
***************************************************************************
.. code-block:: python
import colour
colour.COLOUR_PRIMARIES_ITUTH273.keys()
.. code-block:: text
dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 22, 23])
.. code-block:: python
import colour
colour.models.describe_video_signal_colour_primaries(1)
.. code-block:: text
===============================================================================
* *
* Colour Primaries: 1 *
* ------------------- *
* *
* Primaries : [[ 0.64 0.33] *
* [ 0.3 0.6 ] *
* [ 0.15 0.06]] *
* Whitepoint : [ 0.3127 0.329 ] *
* Whitepoint Name : D65 *
* NPM : [[ 0.4123908 0.35758434 0.18048079] *
* [ 0.21263901 0.71516868 0.07219232] *
* [ 0.01933082 0.11919478 0.95053215]] *
* NPM -1 : [[ 3.24096994 -1.53738318 -0.49861076] *
* [-0.96924364 1.8759675 0.04155506] *
* [ 0.05563008 -0.20397696 1.05697151]] *
* FFmpeg Constants : ['AVCOL_PRI_BT709', 'BT709'] *
* *
===============================================================================
.. code-block:: python
import colour
colour.TRANSFER_CHARACTERISTICS_ITUTH273.keys()
.. code-block:: text
dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
.. code-block:: python
import colour
colour.models.describe_video_signal_transfer_characteristics(1)
.. code-block:: text
===============================================================================
* *
* Transfer Characteristics: 1 *
* --------------------------- *
* *
* Function : <function oetf_BT709 at 0x7f7b918776a0> *
* FFmpeg Constants : ['AVCOL_TRC_BT709', 'BT709'] *
* *
===============================================================================
.. code-block:: python
import colour
colour.MATRIX_COEFFICIENTS_ITUTH273.keys()
.. code-block:: text
dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])
.. code-block:: python
import colour
colour.models.describe_video_signal_matrix_coefficients(1)
.. code-block:: text
===============================================================================
* *
* Matrix Coefficients: 1 *
* ---------------------- *
* *
* Matrix Coefficients : [ 0.2126 0.0722] *
* FFmpeg Constants : ['AVCOL_SPC_BT709', 'BT709'] *
* *
===============================================================================
Colour Notation Systems - ``colour.notation``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Munsell Value
*************
.. code-block:: python
import colour
colour.munsell_value(12.23634268)
.. code-block:: text
4.08244370765
.. code-block:: python
import colour
sorted(colour.MUNSELL_VALUE_METHODS)
.. code-block:: text
['ASTM D1535', 'Ladd 1955', 'McCamy 1987', 'Moon 1943', 'Munsell 1933', 'Priest 1920', 'Saunderson 1944', 'astm2008']
Munsell Colour
**************
.. code-block:: python
import colour
colour.xyY_to_munsell_colour([0.38736945, 0.35751656, 0.59362000])
.. code-block:: text
4.2YR 8.1/5.3
.. code-block:: python
import colour
colour.munsell_colour_to_xyY("4.2YR 8.1/5.3")
.. code-block:: text
[ 0.38736945 0.35751656 0.59362 ]
Optical Phenomena - ``colour.phenomena``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Rayleigh Scattering
*******************
.. code-block:: python
import colour
colour.sd_rayleigh_scattering()
.. code-block:: text
[[ 3.60000000e+02 5.60246579e-01]
[ 3.61000000e+02 5.53748137e-01]
[ 3.62000000e+02 5.47344692e-01]
...
[ 7.80000000e+02 2.35336632e-02]]
Thin Film Interference
**********************
.. code-block:: python
import colour
import numpy as np
# Soap film (water, n=1.33) interference
R, T = colour.thin_film_tmm(
n=[1.0, 1.33, 1.0], # [air, film, air]
t=300, # 300 nm thickness
wavelength=np.linspace(380, 780, 10),
theta=0, # Normal incidence
)
print(R[..., 0]) # s-polarisation reflectance
.. code-block:: text
[[[0.01800269]]
[[0.03176697]]
[[0.0452849 ]]
[[0.05812178]]
[[0.06940598]]
[[0.07834261]]
[[0.08446072]]
[[0.08770155]]
[[0.08842705]]
[[0.08732785]]]
Light Quality - ``colour.quality``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Colour Fidelity Index
*********************
.. code-block:: python
import colour
colour.colour_fidelity_index(colour.SDS_ILLUMINANTS["FL2"])
.. code-block:: text
70.1208244014
.. code-block:: python
import colour
sorted(colour.COLOUR_FIDELITY_INDEX_METHODS)
.. code-block:: text
['ANSI/IES TM-30-18', 'CIE 2017']
Colour Quality Scale
********************
.. code-block:: python
import colour
colour.colour_quality_scale(colour.SDS_ILLUMINANTS["FL2"])
.. code-block:: text
64.1118220157
.. code-block:: python
import colour
sorted(colour.COLOUR_QUALITY_SCALE_METHODS)
.. code-block:: text
['NIST CQS 7.4', 'NIST CQS 9.0']
Colour Rendering Index
**********************
.. code-block:: python
import colour
colour.colour_rendering_index(colour.SDS_ILLUMINANTS["FL2"])
.. code-block:: text
64.2337241217
.. code-block:: python
import colour
sorted(colour.COLOUR_RENDERING_INDEX_METHODS)
.. code-block:: text
['CIE 1995', 'CIE 2024']
Academy Spectral Similarity Index (SSI)
***************************************
.. code-block:: python
import colour
colour.spectral_similarity_index(
colour.SDS_ILLUMINANTS["C"], colour.SDS_ILLUMINANTS["D65"]
)
.. code-block:: text
94.0
Spectral Up-Sampling & Recovery - ``colour.recovery``
Reflectance Recovery
.. code-block:: python
import colour
colour.XYZ_to_sd([0.20654008, 0.12197225, 0.05136952])
.. code-block:: text
[[ 3.60000000e+02 8.42398617e-02]
[ 3.65000000e+02 8.42355431e-02]
[ 3.70000000e+02 8.42689564e-02]
...
[ 7.80000000e+02 4.46952477e-01]]
.. code-block:: python
import colour
sorted(colour.XYZ_TO_SD_METHODS)
.. code-block:: text
['Jakob 2019', 'Mallett 2019', 'Meng 2015', 'Otsu 2018', 'Smits 1999']
Camera RGB Sensitivities Recovery
.. code-block:: python
import colour
illuminant = colour.colorimetry.SDS_ILLUMINANTS["D65"]
sensitivities = colour.characterisation.MSDS_CAMERA_SENSITIVITIES["Nikon 5100 (NPL)"]
reflectances = [
sd.copy().align(colour.recovery.SPECTRAL_SHAPE_BASIS_FUNCTIONS_DYER2017)
for sd in colour.SDS_COLOURCHECKERS["BabelColor Average"].values()
]
reflectances = colour.colorimetry.sds_and_msds_to_msds(reflectances)
RGB = colour.colorimetry.msds_to_XYZ(
reflectances,
method="Integration",
cmfs=sensitivities,
illuminant=illuminant,
k=0.01,
shape=colour.recovery.SPECTRAL_SHAPE_BASIS_FUNCTIONS_DYER2017,
)
colour.recovery.RGB_to_msds_camera_sensitivities_Jiang2013(
RGB,
illuminant,
reflectances,
colour.recovery.BASIS_FUNCTIONS_DYER2017,
colour.recovery.SPECTRAL_SHAPE_BASIS_FUNCTIONS_DYER2017,
)
.. code-block:: text
RGB_CameraSensitivities([[ 4.00000000e+02, 7.04378461e-03, 9.21260449e-03,
-7.64080878e-03],
[ 4.10000000e+02, -8.76715607e-03, 1.12726694e-02,
6.37434190e-03],
[ 4.20000000e+02, 4.58126856e-02, 7.18000418e-02,
4.00001696e-01],
...
[ 6.80000000e+02, 4.00195568e-02, 5.55512389e-03,
1.36794925e-03],
[ 6.90000000e+02, -4.32240535e-03, 2.49731193e-03,
3.80303275e-04],
[ 7.00000000e+02, -6.00395414e-03, 1.54678227e-03,
5.40394352e-04]],
['red', 'green', 'blue'],
SpragueInterpolator,
{},
Extrapolator,
{'method': 'Constant', 'left': None, 'right': None})
Correlated Colour Temperature Computation Methods - colour.temperature
.. code-block:: python
import colour
colour.uv_to_CCT([0.1978, 0.3122])
.. code-block:: text
[ 6.50747479e+03 3.22334634e-03]
.. code-block:: python
import colour
sorted(colour.UV_TO_CCT_METHODS)
.. code-block:: text
['Krystek 1985', 'Ohno 2013', 'Planck 1900', 'Robertson 1968', 'ohno2013', 'robertson1968']
.. code-block:: python
import colour
sorted(colour.XY_TO_CCT_METHODS)
.. code-block:: text
['CIE Illuminant D Series', 'Hernandez 1999', 'Kang 2002', 'McCamy 1992', 'daylight', 'hernandez1999', 'kang2002', 'mccamy1992']
Colour Volume - ``colour.volume``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import colour
colour.RGB_colourspace_volume_MonteCarlo(colour.RGB_COLOURSPACE_RGB["sRGB"])
.. code-block:: text
821958.30000000005
Geometry Primitives Generation - ``colour.geometry``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import colour
colour.primitive("Grid")
.. code-block:: text
(array([ ([-0.5, 0.5, 0. ], [ 0., 1.], [ 0., 0., 1.], [ 0., 1., 0., 1.]),
([ 0.5, 0.5, 0. ], [ 1., 1.], [ 0., 0., 1.], [ 1., 1., 0., 1.]),
([-0.5, -0.5, 0. ], [ 0., 0.], [ 0., 0., 1.], [ 0., 0., 0., 1.]),
([ 0.5, -0.5, 0. ], [ 1., 0.], [ 0., 0., 1.], [ 1., 0., 0., 1.])],
dtype=[('position', '<f8', (3,)), ('uv', '<f8', (2,)), ('normal', '<f8', (3,)), ('colour', '<f8', (4,))]), array([[0, 2, 1],
[2, 3, 1]]), array([[0, 2],
[2, 3],
[3, 1],
[1, 0]]))
.. code-block:: python
import colour
sorted(colour.PRIMITIVE_METHODS)
.. code-block:: text
['Cube', 'Grid']
.. code-block:: python
import colour
colour.primitive_vertices("Quad MPL")
.. code-block:: text
[[ 0. 0. 0.]
[ 1. 0. 0.]
[ 1. 1. 0.]
[ 0. 1. 0.]]
Plotting - ``colour.plotting``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Most of the objects are available from the ``colour.plotting`` namespace:
.. code-block:: python
from colour.plotting import *
colour_style()
Visible Spectrum
****************
.. code-block:: python
from colour.plotting import *
plot_visible_spectrum("CIE 1931 2 Degree Standard Observer")
.. code-block:: text
(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'The Visible Spectrum - CIE 1931 2$^\\circ$ Standard Observer'}, xlabel='Wavelength $\\lambda$ (nm)'>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Visible_Spectrum.png
Spectral Distribution
*********************
.. code-block:: python
from colour.plotting import *
plot_single_illuminant_sd("FL1")
.. code-block:: text
(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'Illuminant FL1 - CIE 1931 2$^\\circ$ Standard Observer'}, xlabel='Wavelength $\\lambda$ (nm)', ylabel='Relative Power'>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Illuminant_F1_SD.png
Blackbody
*********
.. code-block:: python
import colour
from colour.plotting import *
blackbody_sds = [
colour.sd_blackbody(i, colour.SpectralShape(1, 10001, 10))
for i in range(1000, 15000, 1000)
]
plot_multi_sds(
blackbody_sds,
y_label="W / (sr m$^2$) / m",
plot_kwargs={"use_sd_colours": True, "normalise_sd_colours": True},
legend_location="upper right",
bounding_box=(0, 1250, 0, 2.5e6),
)
.. code-block:: text
(<Figure size 640x480 with 1 Axes>, <Axes: xlabel='Wavelength $lambda$ (nm)', ylabel='W / (sr m$^2$) / m'>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Blackbodies.png
Colour Matching Functions
*************************
.. code-block:: python
from colour.plotting import *
plot_single_cmfs(
"Stockman & Sharpe 2 Degree Cone Fundamentals",
y_label="Sensitivity",
bounding_box=(390, 870, 0, 1.1),
)
.. code-block:: text
(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'Stockman & Sharpe 2$^circ$ Cone Fundamentals - Colour Matching Functions'}, xlabel='Wavelength $lambda$ (nm)', ylabel='Sensitivity'>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Cone_Fundamentals.png
Luminous Efficiency
*******************
.. code-block:: python
import colour
from colour.plotting import *
sd_mesopic_luminous_efficiency_function = (
colour.sd_mesopic_luminous_efficiency_function(0.2)
)
plot_multi_sds(
(
sd_mesopic_luminous_efficiency_function,
colour.colorimetry.SDS_LEFS_PHOTOPIC["CIE 1924 Photopic Standard Observer"],
colour.colorimetry.SDS_LEFS_SCOTOPIC["CIE 1951 Scotopic Standard Observer"],
),
y_label="Luminous Efficiency",
legend_location="upper right",
y_tighten=True,
margins=(0, 0, 0, 0.1),
)
.. code-block:: text
(<Figure size 640x480 with 1 Axes>, <Axes: xlabel='Wavelength $lambda$ (nm)', ylabel='Luminous Efficiency'>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Luminous_Efficiency.png
Colour Checker
**************
.. code-block:: python
import colour
from colour.plotting import *
plot_multi_sds(
list(colour.SDS_COLOURCHECKERS["BabelColor Average"].values()),
plot_kwargs={
"use_sd_colours": True,
},
title=("BabelColor Average - " "Spectral Distributions"),
)
.. code-block:: text
(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'BabelColor Average - Spectral Distributions'}, xlabel='Wavelength $lambda$ (nm)', ylabel='Spectral Distribution'>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_BabelColor_Average.png
.. code-block:: python
from colour.plotting import *
plot_single_colour_checker("ColorChecker 2005", text_kwargs={"visible": False})
.. code-block:: text
(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'ColorChecker 2005'}>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_ColorChecker_2005.png
Chromaticities Prediction
*************************
.. code-block:: python
from colour.plotting import *
plot_corresponding_chromaticities_prediction(
2, "Von Kries", {"transform": "Bianco 2010"}
)
.. code-block:: text
(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'Corresponding Chromaticities Prediction - Von Kries - Experiment 2 - CIE 1976 UCS Chromaticity Diagram'}, xlabel="CIE u'", ylabel="CIE v'">)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Chromaticities_Prediction.png
Chromaticities
**************
.. code-block:: python
import numpy as np
from colour.plotting import *
RGB = np.random.random((32, 32, 3))
plot_RGB_chromaticities_in_chromaticity_diagram_CIE1931(
RGB,
"ITU-R BT.709",
colourspaces=["ACEScg", "S-Gamut", "Pointer Gamut"],
)
.. code-block:: text
(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'ACEScg, S-Gamut, ITU-R BT.709\nCIE 1931 2 Degree Standard Observer - CIE 1931 Chromaticity Diagram'}, xlabel='CIE x',
ylabel='CIE y'>
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Chromaticities_CIE_1931_Chromaticity_Diagram.png
Colour Rendering Index Bars
***************************
.. code-block:: python
import colour
from colour.plotting import *
plot_single_sd_colour_rendering_index_bars(colour.SDS_ILLUMINANTS["FL2"])
.. code-block:: text
(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'Colour Rendering Index - FL2'}>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_CRI.png
ANSI/IES TM-30-18 Colour Rendition Report
*****************************************
.. code-block:: python
import colour
from colour.plotting import *
plot_single_sd_colour_rendition_report(colour.SDS_ILLUMINANTS["FL2"])
.. code-block:: text
(<Figure size 827x1169 with 13 Axes>, <Axes: >)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Colour_Rendition_Report.png
Gamut Section
*************
.. code-block:: python
from colour.plotting import *
plot_visible_spectrum_section(section_colours="RGB", section_opacity=0.15)
.. code-block:: text
(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'Visible Spectrum Section - 50.0% - CIE xyY - CIE 1931 2$^\\circ$ Standard Observer'}, xlabel='x', ylabel='y'>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Plot_Visible_Spectrum_Section.png
.. code-block:: python
from colour.plotting import *
plot_RGB_colourspace_section("sRGB", section_colours="RGB", section_opacity=0.15)
.. code-block:: text
(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'sRGB Section - 50.0% - CIE xyY'}, xlabel='x', ylabel='y'>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Plot_RGB_Colourspace_Section.png
Colour Temperature
******************
.. code-block:: python
from colour.plotting import *
plot_planckian_locus_in_chromaticity_diagram_CIE1960UCS(["A", "B", "C"])
.. code-block:: text
(<Figure size 640x640 with 1 Axes>, <Axes: title={'center': 'A, B, C Illuminants - Planckian Locus\nCIE 1960 UCS Chromaticity Diagram - CIE 1931 2 Degree Standard Observer'}, xlabel='CIE u', ylabel='CIE v'>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_CCT_CIE_1960_UCS_Chromaticity_Diagram.png
Thin Film Interference
**********************
.. code-block:: python
from colour.plotting import *
plot_thin_film_iridescence([1.0, 1.33, 1.0])
.. code-block:: text
(<Figure size 640x480 with 1 Axes>, <Axes: title={'center': 'Thin Film Iridescence (n=1.33, θ=0°)'}, xlabel='Thickness (nm)', ylabel=''>)
.. image:: https://colour.readthedocs.io/en/develop/_static/Examples_Plotting_Thin_Film_Iridescence.png
User Guide
----------
Installation
~~~~~~~~~~~~
**Colour** and its primary dependencies can be easily installed from the
`Python Package Index <https://pypi.org/project/colour-science>`__
by issuing this command in a shell:
.. code-block:: bash
$ pip install --user colour-science
The detailed installation procedure for the secondary dependencies is
described in the `Installation Guide <https://www.colour-science.org/installation-guide>`__.
**Colour** is also available for `Anaconda <https://www.anaconda.com/download>`__
from *Continuum Analytics* via `conda-forge <https://conda-forge.org>`__:
.. code-block:: bash
$ conda install -c conda-forge colour-science
Tutorial
~~~~~~~~
The `static tutorial <https://colour.readthedocs.io/en/develop/tutorial.html>`__
provides an introduction to **Colour**. An interactive version is available via
`Google Colab <https://colab.research.google.com/notebook#fileId=1Im9J7or9qyClQCv5sPHmKdyiQbG4898K&offline=true&sandboxMode=true>`__.
How-To
~~~~~~
The `Google Colab How-To <https://colab.research.google.com/notebook#fileId=1NRcdXSCshivkwoU2nieCvC3y14fx1X4X&offline=true&sandboxMode=true>`__
guide for **Colour** shows various techniques to solve specific problems and
highlights some interesting use cases.
Contributing
~~~~~~~~~~~~
If you would like to contribute to **Colour**, please refer to the following
`Contributing <https://www.colour-science.org/contributing>`__ guide.
Changes
~~~~~~~
The changes are viewable on the `Releases <https://github.com/colour-science/colour/releases>`__ page.
Bibliography
~~~~~~~~~~~~
The bibliography is available on the `Bibliography <https://www.colour-science.org/bibliography>`__ page.
It is also viewable directly from the repository in
`BibTeX <https://github.com/colour-science/colour/blob/develop/BIBLIOGRAPHY.bib>`__
format.
API Reference
-------------
The main technical reference for **Colour** is the *API Reference*:
- `Release <https://colour.readthedocs.io/en/master/reference.html>`__
- `Develop <https://colour.readthedocs.io/en/latest/reference.html>`__
See Also
--------
Software
~~~~~~~~
**Python**
- `ColorAide <https://facelessuser.github.io/coloraide>`__ by Muse, I.
- `ColorPy <http://markkness.net/colorpy/ColorPy.html>`__ by Kness, M.
- `Colorspacious <https://colorspacious.readthedocs.io>`__ by Smith, N. J., et al.
- `python-colormath <https://python-colormath.readthedocs.io>`__ by Taylor, G., et al.
**Go**
- `go-colorful <https://github.com/lucasb-eyer/go-colorful>`__ by Beyer, L., et al.
**.NET**
- `Colourful <https://github.com/tompazourek/Colourful>`__ by Pažourek, T., et al.
**Julia**
- `Colors.jl <https://github.com/JuliaGraphics/Colors.jl>`__ by Holy, T., et al.
**Matlab & Octave**
- `COLORLAB <https://www.uv.es/vista/vistavalencia/software/colorlab.html>`__ by Malo, J., et al.
- `Psychtoolbox <http://psychtoolbox.org>`__ by Brainard, D., et al.
- `The Munsell and Kubelka-Munk Toolbox <http://www.munsellcolourscienceforpainters.com/MunsellAndKubelkaMunkToolbox/MunsellAndKubelkaMunkToolbox.html>`__ by Centore, P.
Code of Conduct
---------------
The *Code of Conduct*, adapted from the `Contributor Covenant 1.4 <https://www.contributor-covenant.org/version/1/4/code-of-conduct.html>`__,
is available on the `Code of Conduct <https://www.colour-science.org/code-of-conduct>`__ page.
Contact & Social
----------------
The *Colour Developers* can be reached via different means:
- `Email <mailto:colour-developers@colour-science.org>`__
- `Facebook <https://www.facebook.com/python.colour.science>`__
- `Github Discussions <https://github.com/colour-science/colour/discussions>`__
- `Gitter <https://gitter.im/colour-science/colour>`__
- `X <https://x.com/colour_science>`__
- `Bluesky <https://bsky.app/profile/colour-science.bsky.social>`__
About
-----
| **Colour** by Colour Developers
| Copyright 2013 Colour Developers – `colour-developers@colour-science.org <colour-developers@colour-science.org>`__
| This software is released under terms of BSD-3-Clause: https://opensource.org/licenses/BSD-3-Clause
| `https://github.com/colour-science/colour <https://github.com/colour-science/colour>`__
FAQs
Colour Science for Python
We found that colour-science demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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