#!/usr/bin/env python
# coding: utf-8

# # Colour Playground

# A repository leveraging [Binder](https://mybinder.org/) to play with [Colour](https://github.com/colour-science/colour).

# In[1]:


from IPython.core.display import Image

Image(filename="resources/images/Colour_Logo_Medium_001.png")


# # Introduction

# In[2]:


from widgets import set_style

set_style()


# ## RGB Colourspace Models Transformation Matrix

# Computes the colour transformation matrix between the given _RGB Colourspace Models_ using the given _Chromatic Adaptation Transform_.

# In[3]:


from widgets import RGB_colourspace_models_transformation_matrix_widget

RGB_colourspace_models_transformation_matrix_widget()


# ## RGB Colourspace Models Chromatically Adapted Primaries

# Computes the _Chromatically Adapted Primaries_ of the given _RGB Colourspace Model_ to the given _Illuminant_ using the given _Chromatic Adaptation Transform_.

# In[4]:


from widgets import RGB_colourspace_models_chromatically_adapted_primaries_widget

RGB_colourspace_models_chromatically_adapted_primaries_widget()


# ## Chromatically Adapted XYZ to RGB Matrix

# Computes the _Chromatically Adapted XYZ to RGB Matrix_ of the given _RGB Colourspace Model_ to the given _Illuminant_ using the given _Chromatic Adaptation Transform_.

# > Notes: `colour.XYZ_to_RGB_matrix` and`colour.RGB_to_XYZ_matrix` definitions are planned to be added to [Colour](https://github.com/colour-science/colour) to perform that computation directly.

# In[5]:


import colour

input_colourspace = colour.RGB_COLOURSPACES['sRGB']
D50 = colour.ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['D50']

M_CAT = colour.adaptation.chromatic_adaptation_matrix_VonKries(
        colour.xyY_to_XYZ(colour.xy_to_xyY(input_colourspace.whitepoint)),
        colour.xyY_to_XYZ(colour.xy_to_xyY(D50)),
        transform='CAT02')

colour.utilities.dot_matrix(input_colourspace.XYZ_to_RGB_matrix, M_CAT)