本文整理汇总了Python中aces_ocio.utilities.ColorSpace.bit_depth方法的典型用法代码示例。如果您正苦于以下问题：Python ColorSpace.bit_depth方法的具体用法？Python ColorSpace.bit_depth怎么用？Python ColorSpace.bit_depth使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类aces_ocio.utilities.ColorSpace的用法示例。
在下文中一共展示了ColorSpace.bit_depth方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: create_ADX
# 需要导入模块: from aces_ocio.utilities import ColorSpace [as 别名]
# 或者: from aces_ocio.utilities.ColorSpace import bit_depth [as 别名]
def create_ADX(lut_directory,
bit_depth=10,
name='ADX'):
"""
Creates the *ADX* colorspace.
Parameters
----------
parameter : type
Parameter description.
Returns
-------
Colorspace
*ADX* colorspace.
"""
name = '%s%s' % (name, bit_depth)
cs = ColorSpace(name)
cs.description = '%s color space - used for film scans' % name
cs.aliases = ['adx%s' % str(bit_depth)]
cs.equality_group = ''
cs.family = 'ADX'
cs.is_data = False
if bit_depth == 10:
cs.aces_transform_id = 'ACEScsc.ADX10_to_ACES.a1.0.0'
cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT10
ADX_to_CDD = [1023 / 500, 0, 0, 0,
0, 1023 / 500, 0, 0,
0, 0, 1023 / 500, 0,
0, 0, 0, 1]
offset = [-95 / 500, -95 / 500, -95 / 500, 0]
elif bit_depth == 16:
cs.aces_transform_id = 'ACEScsc.ADX16_to_ACES.a1.0.0'
cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT16
ADX_to_CDD = [65535 / 8000, 0, 0, 0,
0, 65535 / 8000, 0, 0,
0, 0, 65535 / 8000, 0,
0, 0, 0, 1]
offset = [-1520 / 8000, -1520 / 8000, -1520 / 8000, 0]
cs.to_reference_transforms = []
# Converting from *ADX* to *Channel-Dependent Density*.
cs.to_reference_transforms.append({
'type': 'matrix',
'matrix': ADX_to_CDD,
'offset': offset,
'direction': 'forward'})
# Converting from *Channel-Dependent Density* to
# *Channel-Independent Density*.
cs.to_reference_transforms.append({
'type': 'matrix',
'matrix': [0.75573, 0.22197, 0.02230, 0,
0.05901, 0.96928, -0.02829, 0,
0.16134, 0.07406, 0.76460, 0,
0, 0, 0, 1],
'direction': 'forward'})
# Copied from *Alex Fry*'s *adx_cid_to_rle.py*
def create_CID_to_RLE_LUT():
def interpolate_1d(x, xp, fp):
return numpy.interp(x, xp, fp)
LUT_1D_XP = [-0.190000000000000,
0.010000000000000,
0.028000000000000,
0.054000000000000,
0.095000000000000,
0.145000000000000,
0.220000000000000,
0.300000000000000,
0.400000000000000,
0.500000000000000,
0.600000000000000]
LUT_1D_FP = [-6.000000000000000,
-2.721718645000000,
-2.521718645000000,
-2.321718645000000,
-2.121718645000000,
-1.921718645000000,
-1.721718645000000,
-1.521718645000000,
-1.321718645000000,
-1.121718645000000,
-0.926545676714876]
REF_PT = ((7120 - 1520) / 8000 * (100 / 55) -
math.log(0.18, 10))
def cid_to_rle(x):
if x <= 0.6:
return interpolate_1d(x, LUT_1D_XP, LUT_1D_FP)
return (100 / 55) * x - REF_PT
#.........这里部分代码省略.........