def test_YCbCr_to_RGB(self):
"""
Tests :func:`colour.models.rgb.ycbcr.YCbCr_to_RGB` definition.
"""
np.testing.assert_almost_equal(YCbCr_to_RGB(
np.array([0.66035745, 0.17254902, 0.53216593])),
np.array([0.75, 0.75, 0.0]),
decimal=7)
np.testing.assert_almost_equal(
YCbCr_to_RGB(np.array([471, 650, 390]),
in_bits=10,
in_legal=True,
in_int=True),
np.array([0.25018598, 0.49950072, 0.75040741]),
decimal=7)
np.testing.assert_almost_equal(YCbCr_to_RGB(np.array([150, 99, 175]),
in_bits=8,
in_legal=False,
in_int=True,
out_bits=8,
out_legal=True,
out_int=True),
np.array([208, 131, 99]),
decimal=7)
def test_n_dimensional_YCbCr_to_RGB(self):
"""
Tests :func:`colour.models.rgb.ycbcr.YCbCr_to_RGB` definition
n-dimensional arrays support.
"""
YCbCr = np.array([0.52230157, 0.36699593, 0.62183309])
RGB = YCbCr_to_RGB(YCbCr)
RGB = np.tile(RGB, 4)
RGB = np.reshape(RGB, (4, 3))
YCbCr = np.tile(YCbCr, 4)
YCbCr = np.reshape(YCbCr, (4, 3))
np.testing.assert_almost_equal(YCbCr_to_RGB(YCbCr), RGB)
RGB = np.tile(RGB, 4)
RGB = np.reshape(RGB, (4, 4, 3))
YCbCr = np.tile(YCbCr, 4)
YCbCr = np.reshape(YCbCr, (4, 4, 3))
np.testing.assert_almost_equal(YCbCr_to_RGB(YCbCr), RGB)
RGB = np.tile(RGB, 4)
RGB = np.reshape(RGB, (4, 4, 4, 3))
YCbCr = np.tile(YCbCr, 4)
YCbCr = np.reshape(YCbCr, (4, 4, 4, 3))
np.testing.assert_almost_equal(YCbCr_to_RGB(YCbCr), RGB)
def test_domain_range_scale_YCbCr_to_RGB(self):
"""
Tests :func:`colour.models.rgb.prismatic.YCbCr_to_RGB` definition
domain and range scale support.
"""
YCbCr = np.array([0.52230157, 0.36699593, 0.62183309])
RGB = YCbCr_to_RGB(YCbCr)
d_r = (('reference', 1), (1, 1), (100, 100))
for scale, factor in d_r:
with domain_range_scale(scale):
np.testing.assert_almost_equal(
YCbCr_to_RGB(YCbCr * factor), RGB * factor, decimal=7)
def test_nan_YCbCr_to_RGB(self):
"""
Tests :func:`colour.models.rgb.ycbcr.YCbCr_to_RGB` definition nan
support.
"""
cases = [-1.0, 0.0, 1.0, -np.inf, np.inf, np.nan]
cases = set(permutations(cases * 3, r=3))
for case in cases:
YCbCr = np.array(case)
YCbCr_to_RGB(YCbCr)
