def load(self):
"""
Syncs, parses, converts and returns the *X-Rite (2016)*
*New Color Specifications for ColorChecker SG and Classic Charts*
dataset content.
Returns
-------
OrderedDict
*X-Rite (2016)* *New Color Specifications for ColorChecker SG and
Classic Charts* dataset content.
Examples
--------
>>> from colour_datasets.utilities import suppress_stdout
>>> dataset = XRite2016DatasetLoader()
>>> with suppress_stdout():
... dataset.load()
>>> len(dataset.content.keys())
4
"""
super(XRite2016DatasetLoader, self).sync()
keys = (
'ColorChecker24 - After November 2014',
'ColorChecker24 - Before November 2014',
'ColorCheckerSG - After November 2014',
'ColorCheckerSG - Before November 2014',
)
filenames = (
'ColorChecker24_After_Nov2014.txt',
'ColorChecker24_Before_Nov2014.txt',
'ColorCheckerSG_After_Nov2014.txt',
'ColorCheckerSG_Before_Nov2014.txt',
)
# TODO: Implement support for "CGATS" file format in "Colour":
# https://github.com/colour-science/colour/issues/354
illuminant = (
ILLUMINANTS['CIE 1931 2 Degree Standard Observer']['ICC D50'])
self._content = OrderedDict()
for key, filename in zip(keys, filenames):
directory = os.path.splitext(filename)[0]
path = os.path.join(self.record.repository, 'dataset', directory,
filename)
with codecs.open(path, encoding='utf-8') as xrite_file:
samples = []
is_data = False
lines = filter(None, (line.strip()
for line in xrite_file.readlines()))
for line in lines:
if line == 'END_DATA':
is_data = False
if is_data:
tokens = line.split()
samples.append([
tokens[0],
[
float(value.replace(',', '.'))
for value in tokens[1:]
],
])
if line == 'BEGIN_DATA':
is_data = True
i, j = (6, 4) if len(samples) == 24 else (14, 10)
samples = np.array(samples)
samples = np.transpose(samples.reshape([i, j, 2]), [1, 0, 2])
keys, values = zip(*samples.reshape([-1, 2]))
values = XYZ_to_xyY(Lab_to_XYZ(values, illuminant))
self._content[key] = ColourChecker(key,
OrderedDict(zip(keys, values)),
illuminant)
return self._content
from colour_analysis.constants import DEFAULT_PLOTTING_ILLUMINANT
from colour_analysis.visuals import Symbol
__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2013-2019 - Colour Developers'
__license__ = 'New BSD License - http://opensource.org/licenses/BSD-3-Clause'
__maintainer__ = 'Colour Developers'
__email__ = '*****@*****.**'
__status__ = 'Production'
__all__ = [
'POINTER_GAMUT_DATA', 'POINTER_GAMUT_BOUNDARIES', 'pointer_gamut_visual',
'pointer_gamut_boundaries_visual', 'pointer_gamut_hull_visual'
]
POINTER_GAMUT_DATA = Lab_to_XYZ(LCHab_to_Lab(POINTER_GAMUT_DATA),
POINTER_GAMUT_ILLUMINANT)
"""
Pointer's Gamut data converted to *CIE XYZ* tristimulus values.
POINTER_GAMUT_DATA : ndarray
"""
POINTER_GAMUT_BOUNDARIES = xy_to_XYZ(POINTER_GAMUT_BOUNDARIES)
"""
Pointer's Gamut boundaries data converted to *CIE XYZ* tristimulus values.
POINTER_GAMUT_BOUNDARIES : ndarray
"""
def pointer_gamut_visual(reference_colourspace='CIE xyY',
IMAGE_CCTF_DECODING : unicode
"""
COLOURSPACE_MODEL = 'CIE xyY'
"""
Analysis colour model.
COLOURSPACE_MODEL : unicode
**{'CAM02LCD', 'CAM02SCD', 'CAM02UCS', 'CAM16LCD', 'CAM16SCD', 'CAM16UCS',
'CIE XYZ', 'CIE xyY', 'CIE Lab', 'CIE Luv', 'CIE UCS', 'CIE UVW', 'DIN 99',
'Hunter Lab', 'Hunter Rdab', 'ICTCP', 'IGPGTG', 'IPT', 'JzAzBz', 'OSA UCS',
'hdr-CIELAB', 'hdr-IPT'}**
"""
DATA_POINTER_GAMUT = Lab_to_XYZ(LCHab_to_Lab(DATA_POINTER_GAMUT_VOLUME),
CCS_ILLUMINANT_POINTER_GAMUT)
"""
Pointer's Gamut data converted to *CIE XYZ* tristimulus values.
DATA_POINTER_GAMUT : ndarray
"""
IMAGE_CACHE = SimpleCache(default_timeout=60 * 24 * 7)
"""
Server side cache for images.
IMAGE_CACHE : SimpleCache
"""
def load_image(path, decoding_cctf='sRGB'):