from __future__ import division
+import copy
import math
import numpy
import os
__status__ = 'Production'
__all__ = ['ACES_AP1_TO_AP0',
+ 'ACES_AP0_TO_AP1',
'ACES_AP0_TO_XYZ',
+ 'ACES_XYZ_TO_AP0',
'create_ACES',
'create_ACEScc',
'create_ACESproxy',
'create_ACEScg',
'create_ADX',
- 'create_ACES_LMT',
- 'create_ACES_RRT_plus_ODT',
'create_generic_log',
+ 'create_Dolby_PQ',
+ 'create_Dolby_PQ_shaper',
+ 'create_ACES_LMT',
'create_LMTs',
+ 'create_ACES_RRT_plus_ODT',
'create_ODTs',
+ 'create_shapers_dolbypq'
+ 'create_shapers_log2',
+ 'create_shapers',
'get_transform_info',
'get_ODTs_info',
'get_LMTs_info',
def create_ACES():
"""
- Object description.
+ Creates the *ACES2065-1* reference color space
Parameters
----------
- parameter : type
- Parameter description.
+ None
Returns
-------
- type
- Return value description.
+ ColorSpace
+ *ACES2065-1* and all its identifying information
"""
# Defining the reference colorspace.
aces2065_1.description = (
'The Academy Color Encoding System reference color space')
aces2065_1.equality_group = ''
- aces2065_1.aliases = ["lin_ap0", "aces"]
+ aces2065_1.aliases = ['lin_ap0', 'aces']
aces2065_1.family = 'ACES'
aces2065_1.is_data = False
aces2065_1.allocation_type = ocio.Constants.ALLOCATION_LG2
max_value=1,
input_scale=1):
"""
- Creates the *ACEScc* colorspace.
+ Creates the *ACEScc* reference color space
Parameters
----------
- parameter : type
- Parameter description.
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+ name : str or unicode, optional
+ The name of the ColorSpace
+ min_value : float, optional
+ The minimum value to consider for the space
+ max_value : float, optional
+ The maximum value to consider for the space
+ input_scale : float, optional
+ A scale factor to divide input values
Returns
-------
- Colorspace
- *ACEScc* colorspace.
+ ColorSpace
+ *ACEScc* and all its identifying information
"""
cs = ColorSpace(name)
cs.description = 'The %s color space' % name
- cs.aliases = ["acescc", "acescc_ap1"]
+ cs.aliases = ['acescc', 'acescc_ap1']
cs.equality_group = ''
cs.family = 'ACES'
cs.is_data = False
cs.allocation_type = ocio.Constants.ALLOCATION_UNIFORM
cs.allocation_vars = [min_value, max_value]
- cs.aces_transform_id = "ACEScsc.ACEScc_to_ACES.a1.0.0"
+ cs.aces_transform_id = 'ACEScsc.ACEScc_to_ACES.a1.0.1'
ctls = [os.path.join(aces_ctl_directory,
'ACEScc',
- 'ACEScsc.ACEScc_to_ACES.a1.0.0.ctl'),
+ 'ACEScsc.ACEScc_to_ACES.a1.0.1.ctl'),
# This transform gets back to the *AP1* primaries.
# Useful as the 1d LUT is only covering the transfer function.
# The primaries switch is covered by the matrix below:
os.path.join(aces_ctl_directory,
'ACEScg',
- 'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
+ 'ACEScsc.ACES_to_ACEScg.a1.0.1.ctl')]
lut = '%s_to_linear.spi1d' % name
lut = sanitize(lut)
'interpolation': 'linear',
'direction': 'forward'})
- # *AP1* primaries to *AP0* primaries.
+ # *AP1* primaries to *AP0* primaries
cs.to_reference_transforms.append({
'type': 'matrix',
'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
cleanup,
name='ACESproxy'):
"""
- Creates the *ACESproxy* colorspace.
+ Creates the *ACESproxy* color space
Parameters
----------
- parameter : type
- Parameter description.
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+ name : str or unicode, optional
+ The name of the ColorSpace
Returns
-------
- Colorspace
- *ACESproxy* colorspace.
+ ColorSpace
+ *ACESproxy* and all its identifying information
"""
cs = ColorSpace(name)
cs.description = 'The %s color space' % name
- cs.aliases = ["acesproxy", "acesproxy_ap1"]
+ cs.aliases = ['acesproxy', 'acesproxy_ap1']
cs.equality_group = ''
cs.family = 'ACES'
cs.is_data = False
- cs.aces_transform_id = "ACEScsc.ACESproxy10i_to_ACES.a1.0.0"
+ cs.aces_transform_id = 'ACEScsc.ACESproxy10i_to_ACES.a1.0.1'
ctls = [os.path.join(aces_ctl_directory,
'ACESproxy',
- 'ACEScsc.ACESproxy10i_to_ACES.a1.0.0.ctl'),
+ 'ACEScsc.ACESproxy10i_to_ACES.a1.0.1.ctl'),
# This transform gets back to the *AP1* primaries.
# Useful as the 1d LUT is only covering the transfer function.
# The primaries switch is covered by the matrix below:
os.path.join(aces_ctl_directory,
'ACEScg',
- 'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
+ 'ACEScsc.ACES_to_ACEScg.a1.0.1.ctl')]
lut = '%s_to_linear.spi1d' % name
lut = sanitize(lut)
'interpolation': 'linear',
'direction': 'forward'})
- # *AP1* primaries to *AP0* primaries.
+ # *AP1* primaries to *AP0* primaries
cs.to_reference_transforms.append({
'type': 'matrix',
'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
# -------------------------------------------------------------------------
# *ACEScg*
# -------------------------------------------------------------------------
-def create_ACEScg(aces_ctl_directory,
- lut_directory,
- lut_resolution_1d,
- cleanup,
- name='ACEScg'):
+def create_ACEScg():
"""
- Creates the *ACEScg* colorspace.
+ Creates the *ACEScg* color space
Parameters
----------
- parameter : type
- Parameter description.
+ None
Returns
-------
- Colorspace
- *ACEScg* colorspace.
+ ColorSpace
+ *ACEScg* and all its identifying information
"""
+ name = 'ACEScg'
+
cs = ColorSpace(name)
cs.description = 'The %s color space' % name
- cs.aliases = ["acescg", "lin_ap1"]
+ cs.aliases = ['acescg', 'lin_ap1']
cs.equality_group = ''
cs.family = 'ACES'
cs.is_data = False
cs.allocation_type = ocio.Constants.ALLOCATION_LG2
cs.allocation_vars = [-8, 5, 0.00390625]
- cs.aces_transform_id = "ACEScsc.ACEScg_to_ACES.a1.0.0"
+ cs.aces_transform_id = 'ACEScsc.ACEScg_to_ACES.a1.0.1'
cs.to_reference_transforms = []
- # *AP1* primaries to *AP0* primaries.
+ # *AP1* primaries to *AP0* primaries
cs.to_reference_transforms.append({
'type': 'matrix',
'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
cs.from_reference_transforms = []
- # *AP1* primaries to *AP0* primaries.
- cs.from_reference_transforms.append({
- 'type': 'matrix',
- 'matrix': mat44_from_mat33(ACES_AP0_TO_AP1),
- 'direction': 'forward'})
+ # Commented out because specifying the inverse matrix causes some
+ # of OCIO's checks to see if a set of transforms can be collapsed
+ # to fail.
+
+ # *AP1* primaries to *AP0* primaries
+ #cs.from_reference_transforms.append({
+ # 'type': 'matrix',
+ # 'matrix': mat44_from_mat33(ACES_AP0_TO_AP1),
+ # 'direction': 'forward'})
return cs
# *ADX*
# -------------------------------------------------------------------------
def create_ADX(lut_directory,
- lut_resolution_1d,
bit_depth=10,
name='ADX'):
"""
- Creates the *ADX* colorspace.
+ Creates the *ADX* color space
Parameters
----------
- parameter : type
- Parameter description.
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ bit_depth : int
+ Choose either 10 or 16 bit ADX
+ name : str or unicode, optional
+ The name of the ColorSpace
Returns
-------
- Colorspace
- *ADX* colorspace.
+ ColorSpace
+ *ADX* and all its identifying information
"""
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.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.aces_transform_id = 'ACEScsc.ADX10_to_ACES.a1.0.1'
cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT10
ADX_to_CDD = [1023 / 500, 0, 0, 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.aces_transform_id = 'ACEScsc.ADX16_to_ACES.a1.0.1'
cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT16
ADX_to_CDD = [65535 / 8000, 0, 0, 0,
'offset': offset,
'direction': 'forward'})
- # Convert from Channel-Dependent Density to Channel-Independent Density
+ # Converting from *Channel-Dependent Density* to
+ # *Channel-Independent Density*.
cs.to_reference_transforms.append({
'type': 'matrix',
'matrix': [0.75573, 0.22197, 0.02230, 0,
# Copied from *Alex Fry*'s *adx_cid_to_rle.py*
def create_CID_to_RLE_LUT():
- def interpolate_1D(x, xp, fp):
+ def interpolate_1d(x, xp, fp):
return numpy.interp(x, xp, fp)
- LUT_1D_xp = [-0.190000000000000,
+ LUT_1D_XP = [-0.190000000000000,
0.010000000000000,
0.028000000000000,
0.054000000000000,
0.500000000000000,
0.600000000000000]
- LUT_1D_fp = [-6.000000000000000,
+ LUT_1D_FP = [-6.000000000000000,
-2.721718645000000,
-2.521718645000000,
-2.321718645000000,
def cid_to_rle(x):
if x <= 0.6:
- return interpolate_1D(x, LUT_1D_xp, LUT_1D_fp)
+ return interpolate_1d(x, LUT_1D_XP, LUT_1D_FP)
return (100 / 55) * x - REF_PT
def fit(value, from_min, from_max, to_min, to_max):
# -------------------------------------------------------------------------
-# *Generic Log Transform*
+# Generic *Log* Transform
# -------------------------------------------------------------------------
def create_generic_log(aces_ctl_directory,
lut_directory,
lut_resolution_1d,
cleanup,
name='log',
- aliases=[],
+ aliases=None,
min_value=0,
max_value=1,
input_scale=1,
middle_grey=0.18,
- min_exposure=-6,
+ min_exposure=-6.5,
max_exposure=6.5):
"""
Creates the *Generic Log* colorspace.
Parameters
----------
- parameter : type
- Parameter description.
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+ name : str or unicode, optional
+ The name of the ColorSpace
+ aliases : list of str or unicode, optional
+ The alias names to use for the ColorSpace
+ min_value : float, optional
+ The minimum value to consider for the space
+ max_value : float, optional
+ The maximum value to consider for the space
+ input_scale : float, optional
+ A scale factor to divide input values
+ middle_grey : float, optional
+ The middle of the dynamic range covered by the transfer function
+ min_exposure : float, optional
+ The offset from middle grey, in stops, that defines the low end of the dynamic
+ range covered by the transfer function
+ max_exposure : float, optional
+ The offset from middle grey, in stops, that defines the high end of the dynamic
+ range covered by the transfer function
Returns
-------
- Colorspace
+ ColorSpace
*Generic Log* colorspace.
"""
+ if aliases is None:
+ aliases = []
+
cs = ColorSpace(name)
cs.description = 'The %s color space' % name
cs.aliases = aliases
ctls = [os.path.join(
aces_ctl_directory,
'utilities',
- 'ACESlib.Log2_to_Lin_param.a1.0.0.ctl')]
+ 'ACESlib.Log2_to_Lin_param.a1.0.1.ctl')]
lut = '%s_to_linear.spi1d' % name
lut = sanitize(lut)
# -------------------------------------------------------------------------
-# *base Dolby PQ Transform*
+# Base *Dolby PQ* Transform
# -------------------------------------------------------------------------
-def create_dolbypq(aces_CTL_directory,
- lut_directory,
- lut_resolution_1d,
- cleanup,
- name='pq',
- aliases=[],
- min_value=0.0,
- max_value=1.0,
- input_scale=1.0):
+def create_Dolby_PQ(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ name='pq',
+ aliases=None,
+ min_value=0.0,
+ max_value=1.0,
+ input_scale=1.0):
+ """
+ Creates the generic *Dolby PQ* colorspace.
+
+ Parameters
+ ----------
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+ name : str or unicode, optional
+ The name of the ColorSpace
+ aliases : list of str or unicode, optional
+ The alias names to use for the ColorSpace
+ min_value : float, optional
+ The minimum value to consider for the space
+ max_value : float, optional
+ The maximum value to consider for the space
+ input_scale : float, optional
+ A scale factor to divide input values
+
+ Returns
+ -------
+ ColorSpace
+ Generic *Dolby PQ* colorspace.
+ """
+
+ if aliases is None:
+ aliases = []
+
cs = ColorSpace(name)
cs.description = 'The %s color space' % name
cs.aliases = aliases
cs.is_data = False
ctls = [os.path.join(
- aces_CTL_directory,
+ aces_ctl_directory,
'utilities',
- 'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl')]
+ 'ACESlib.DolbyPQ_to_Lin.a1.0.1.ctl')]
lut = '%s_to_linear.spi1d' % name
lut = sanitize(lut)
1.0,
{},
cleanup,
- aces_CTL_directory,
+ aces_ctl_directory,
min_value,
max_value)
# -------------------------------------------------------------------------
-# *Dolby PQ Transform that considers a fixed linear range*
+# *Dolby PQ* Transform - Fixed Linear Range
# -------------------------------------------------------------------------
-def create_dolbypq_scaled(aces_CTL_directory,
- lut_directory,
- lut_resolution_1d,
- cleanup,
- name='pq',
- aliases=[],
- min_value=0.0,
- max_value=1.0,
- input_scale=1.0,
- middle_grey=0.18,
- min_exposure=-6.0,
- max_exposure=6.5):
+def create_Dolby_PQ_shaper(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ name='pq',
+ aliases=None,
+ min_value=0.0,
+ max_value=1.0,
+ input_scale=1.0,
+ middle_grey=0.18,
+ min_exposure=-6.5,
+ max_exposure=6.5):
+ """
+ Creates a *Dolby PQ* colorspace that covers a specific dynamic range
+
+ Parameters
+ ----------
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+ name : str or unicode, optional
+ The name of the ColorSpace
+ aliases : list of str or unicode, optional
+ The alias names to use for the ColorSpace
+ min_value : float, optional
+ The minimum value to consider for the space
+ max_value : float, optional
+ The maximum value to consider for the space
+ input_scale : float, optional
+ A scale factor to divide input values
+ middle_grey : float, optional
+ The middle of the dynamic range covered by the transfer function
+ min_exposure : float, optional
+ The offset from middle grey, in stops, that defines the low end of the dynamic
+ range covered by the transfer function
+ max_exposure : float, optional
+ The offset from middle grey, in stops, that defines the high end of the dynamic
+ range covered by the transfer function
+
+ Returns
+ -------
+ ColorSpace
+ A *Dolby PQ* colorspace that covers a specific dynamic range
+ """
+
+ if aliases is None:
+ aliases = []
+
cs = ColorSpace(name)
cs.description = 'The %s color space' % name
cs.aliases = aliases
cs.is_data = False
ctls = [os.path.join(
- aces_CTL_directory,
+ aces_ctl_directory,
'utilities',
- 'ACESlib.DolbyPQ_to_lin_param.a1.0.0.ctl')]
+ 'ACESlib.OCIOshaper_to_Lin_param.a1.0.1.ctl')]
lut = '%s_to_linear.spi1d' % name
lut = sanitize(lut)
'minExposure': min_exposure,
'maxExposure': max_exposure},
cleanup,
- aces_CTL_directory,
+ aces_ctl_directory,
min_value,
max_value)
# -------------------------------------------------------------------------
-# *Individual LMT*
+# Individual *LMT*
# -------------------------------------------------------------------------
def create_ACES_LMT(lmt_name,
lmt_values,
shaper_info,
aces_ctl_directory,
lut_directory,
- lut_resolution_1d=1024,
lut_resolution_3d=64,
cleanup=True,
aliases=None):
"""
- Creates the *ACES LMT* colorspace.
+ Creates an *ACES Look Transform (LMT)* colorspace.
Parameters
----------
- parameter : type
- Parameter description.
+ lmt_name : str or unicode
+ The name of the Look Transform (LMT)
+ lmt_values : dict
+ A collection of values that define the Look Transform's attributes and behavior
+ shaper_info : dict
+ A collection of values that define the Shaper to use when generating LUTs to
+ represent the Look Transform
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_3d : int, optional
+ The resolution of generated 3D LUTs
+ cleanup : bool, optional
+ Whether or not to clean up the intermediate images
+ aliases : list of str or unicode, optional
+ The alias names to use for the ColorSpace
Returns
-------
- Colorspace
- *ACES LMT* colorspace.
+ ColorSpace
+ An *ACES LMT* colorspace.
"""
if aliases is None:
# Generating the *shaper* transform.
(shaper_name,
- shaper_to_ACES_CTL,
- shaper_from_ACES_CTL,
+ shaper_to_aces_ctl,
+ shaper_from_aces_ctl,
shaper_input_scale,
shaper_params) = shaper_info
- # Add the shaper transform
shaper_lut = '%s_to_linear.spi1d' % shaper_name
shaper_lut = sanitize(shaper_lut)
- shaper_OCIO_transform = {
+ shaper_ocio_transform = {
'type': 'lutFile',
'path': shaper_lut,
'interpolation': 'linear',
cs.from_reference_transforms = []
if 'transformCTL' in lmt_values:
- ctls = [shaper_to_ACES_CTL % aces_ctl_directory,
+ ctls = [shaper_to_aces_ctl % aces_ctl_directory,
os.path.join(aces_ctl_directory,
lmt_values['transformCTL'])]
lut = '%s.%s.spi3d' % (shaper_name, lmt_name)
cleanup,
aces_ctl_directory)
- cs.from_reference_transforms.append(shaper_OCIO_transform)
+ cs.from_reference_transforms.append(shaper_ocio_transform)
cs.from_reference_transforms.append({
'type': 'lutFile',
'path': lut,
if 'transformCTLInverse' in lmt_values:
ctls = [os.path.join(aces_ctl_directory,
lmt_values['transformCTLInverse']),
- shaper_from_ACES_CTL % aces_ctl_directory]
- lut = 'Inverse.%s.%s.spi3d' % (odt_name, shaper_name)
+ shaper_from_aces_ctl % aces_ctl_directory]
+ lut = 'Inverse.%s.%s.spi3d' % (lmt_name, shaper_name)
lut = sanitize(lut)
shaper_params,
cleanup,
aces_ctl_directory,
- 0,
- 1,
- 1)
+ 0)
cs.to_reference_transforms.append({
'type': 'lutFile',
'interpolation': 'tetrahedral',
'direction': 'forward'})
- shaper_inverse = shaper_OCIO_transform.copy()
+ shaper_inverse = shaper_ocio_transform.copy()
shaper_inverse['direction'] = 'forward'
cs.to_reference_transforms.append(shaper_inverse)
lut_resolution_1d,
lut_resolution_3d,
lmt_info,
- shaper_name,
cleanup):
"""
- Object description.
+ Create ColorSpaces representing the *ACES Look Transforms*
Parameters
----------
- parameter : type
- Parameter description.
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ lut_resolution_3d : int
+ The resolution of generated 3D LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+ aliases : list of str or unicode, optional
+ The alias names to use for the ColorSpace
+ lmt_info : dict
+ A collection of values that define the Look Transforms that need to be
+ generated
Returns
-------
- type
- Return value description.
+ list of ColorSpaces
+ ColorSpaces representing the *ACES Look Transforms*
"""
colorspaces = []
lmt_shaper_name,
os.path.join('%s',
'utilities',
- 'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
+ 'ACESlib.Log2_to_Lin_param.a1.0.1.ctl'),
os.path.join('%s',
'utilities',
- 'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
+ 'ACESlib.Lin_to_Log2_param.a1.0.1.ctl'),
shaper_input_scale_generic_log2,
lmt_params]
- sorted_LMTs = sorted(lmt_info.iteritems(), key=lambda x: x[1])
- print(sorted_LMTs)
- for lmt in sorted_LMTs:
+ sorted_lmts = sorted(lmt_info.iteritems(), key=lambda x: x[1])
+ print(sorted_lmts)
+ for lmt in sorted_lmts:
lmt_name, lmt_values = lmt
- lmt_aliases = ["look_%s" % compact(lmt_values['transformUserName'])]
+ lmt_aliases = ['look_%s' % compact(lmt_values['transformUserName'])]
cs = create_ACES_LMT(
lmt_values['transformUserName'],
lmt_values,
lmt_shaper_data,
aces_ctl_directory,
lut_directory,
- lmt_lut_resolution_1d,
lmt_lut_resolution_3d,
cleanup,
lmt_aliases)
shaper_info,
aces_ctl_directory,
lut_directory,
- lut_resolution_1d=1024,
lut_resolution_3d=64,
cleanup=True,
aliases=None):
"""
- Object description.
+ Creates an *ACES Output Transform (RRT + ODT)* colorspace.
Parameters
----------
- parameter : type
- Parameter description.
+ odt_name : str or unicode
+ The name of the Output Transform (RRT + ODT)
+ odt_values : dict
+ A collection of values that define the Output Transform's attributes and behavior
+ shaper_info : dict
+ A collection of values that define the Shaper to use when generating LUTs to
+ represent the Output Transform
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_3d : int, optional
+ The resolution of generated 3D LUTs
+ cleanup : bool, optional
+ Whether or not to clean up the intermediate images
+ aliases : list of str or unicode, optional
+ The alias names to use for the ColorSpace
Returns
-------
- type
- Return value description.
+ ColorSpace
+ An *ACES Output Transform (RRT + ODT)* colorspace.
"""
if aliases is None:
# Generating the *shaper* transform.
(shaper_name,
- shaper_to_ACES_CTL,
- shaper_from_ACES_CTL,
+ shaper_to_aces_ctl,
+ shaper_from_aces_ctl,
shaper_input_scale,
shaper_params) = shaper_info
else:
shaper_params['legalRange'] = 0
- # Add the shaper transform
shaper_lut = '%s_to_linear.spi1d' % shaper_name
shaper_lut = sanitize(shaper_lut)
- shaper_OCIO_transform = {
+ shaper_ocio_transform = {
'type': 'lutFile',
'path': shaper_lut,
'interpolation': 'linear',
cs.from_reference_transforms = []
if 'transformLUT' in odt_values:
- transform_LUT_file_name = os.path.basename(
+ transform_lut_file_name = os.path.basename(
odt_values['transformLUT'])
- lut = os.path.join(lut_directory, transform_LUT_file_name)
+ lut = os.path.join(lut_directory, transform_lut_file_name)
shutil.copy(odt_values['transformLUT'], lut)
- cs.from_reference_transforms.append(shaper_OCIO_transform)
+ cs.from_reference_transforms.append(shaper_ocio_transform)
cs.from_reference_transforms.append({
'type': 'lutFile',
- 'path': transform_LUT_file_name,
+ 'path': transform_lut_file_name,
'interpolation': 'tetrahedral',
'direction': 'forward'})
elif 'transformCTL' in odt_values:
ctls = [
- shaper_to_ACES_CTL % aces_ctl_directory,
+ shaper_to_aces_ctl % aces_ctl_directory,
os.path.join(aces_ctl_directory,
'rrt',
- 'RRT.a1.0.0.ctl'),
+ 'RRT.a1.0.1.ctl'),
os.path.join(aces_ctl_directory,
'odt',
odt_values['transformCTL'])]
- lut = '%s.RRT.a1.0.0.%s.spi3d' % (shaper_name, odt_name)
+ lut = '%s.RRT.a1.0.1.%s.spi3d' % (shaper_name, odt_name)
lut = sanitize(lut)
generate_3d_LUT_from_CTL(
os.path.join(lut_directory, lut),
- # shaperLUT,
ctls,
lut_resolution_3d,
'float',
cleanup,
aces_ctl_directory)
- cs.from_reference_transforms.append(shaper_OCIO_transform)
+ cs.from_reference_transforms.append(shaper_ocio_transform)
cs.from_reference_transforms.append({
'type': 'lutFile',
'path': lut,
cs.to_reference_transforms = []
if 'transformLUTInverse' in odt_values:
- transform_LUT_inverse_file_name = os.path.basename(
+ transform_lut_inverse_file_name = os.path.basename(
odt_values['transformLUTInverse'])
- lut = os.path.join(lut_directory, transform_LUT_inverse_file_name)
+ lut = os.path.join(lut_directory, transform_lut_inverse_file_name)
shutil.copy(odt_values['transformLUTInverse'], lut)
cs.to_reference_transforms.append({
'type': 'lutFile',
- 'path': transform_LUT_inverse_file_name,
+ 'path': transform_lut_inverse_file_name,
'interpolation': 'tetrahedral',
'direction': 'forward'})
- shaper_inverse = shaper_OCIO_transform.copy()
+ shaper_inverse = shaper_ocio_transform.copy()
shaper_inverse['direction'] = 'forward'
cs.to_reference_transforms.append(shaper_inverse)
elif 'transformCTLInverse' in odt_values:
odt_values['transformCTLInverse']),
os.path.join(aces_ctl_directory,
'rrt',
- 'InvRRT.a1.0.0.ctl'),
- shaper_from_ACES_CTL % aces_ctl_directory]
- lut = 'InvRRT.a1.0.0.%s.%s.spi3d' % (odt_name, shaper_name)
+ 'InvRRT.a1.0.1.ctl'),
+ shaper_from_aces_ctl % aces_ctl_directory]
+ lut = 'InvRRT.a1.0.1.%s.%s.spi3d' % (odt_name, shaper_name)
lut = sanitize(lut)
generate_3d_LUT_from_CTL(
os.path.join(lut_directory, lut),
- # None,
ctls,
lut_resolution_3d,
'half',
'interpolation': 'tetrahedral',
'direction': 'forward'})
- shaper_inverse = shaper_OCIO_transform.copy()
+ shaper_inverse = shaper_ocio_transform.copy()
shaper_inverse['direction'] = 'forward'
cs.to_reference_transforms.append(shaper_inverse)
return cs
-
# -------------------------------------------------------------------------
-# *ODTs*
+# *Log 2 Shapers*
# -------------------------------------------------------------------------
-def create_ODTs(aces_ctl_directory,
- lut_directory,
- lut_resolution_1d,
- lut_resolution_3d,
- odt_info,
- shaper_name,
- cleanup,
- linear_display_space,
- log_display_space):
+def create_shapers_log2(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ shaper_name,
+ middle_grey,
+ min_exposure,
+ max_exposure):
"""
- Object description.
+ Creates a *Log base 2* colorspace that covers a specific dynamic range
Parameters
----------
- parameter : type
- Parameter description.
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+ shaper_name : str or unicode, optional
+ The name of the ColorSpace
+ middle_grey : float
+ The middle of the dynamic range covered by the transfer function
+ min_exposure : float
+ The offset from middle grey, in stops, that defines the low end of the dynamic
+ range covered by the transfer function
+ max_exposure : float
+ The offset from middle grey, in stops, that defines the high end of the dynamic
+ range covered by the transfer function
Returns
-------
- type
- Return value description.
+ ColorSpace
+ A *Log base 2* colorspace that covers a specific dynamic range
"""
colorspaces = []
- displays = {}
-
- # -------------------------------------------------------------------------
- # *RRT / ODT* Shaper Options
- # -------------------------------------------------------------------------
shaper_data = {}
- # Defining the *Log 2* shaper.
+ # Defining the *Log 2* shaper for *ODTs covering 48 nit output*.
log2_shaper_name = shaper_name
- log2_shaper_name_aliases = ["crv_%s" % compact(log2_shaper_name)]
+ log2_shaper_name_aliases = ['crv_%s' % compact(log2_shaper_name)]
log2_params = {
- 'middleGrey': 0.18,
- 'minExposure': -6,
- 'maxExposure': 6.5}
+ 'middleGrey': middle_grey,
+ 'minExposure': min_exposure,
+ 'maxExposure': max_exposure}
log2_shaper_colorspace = create_generic_log(
aces_ctl_directory,
log2_shaper_name,
os.path.join('%s',
'utilities',
- 'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
+ 'ACESlib.Log2_to_Lin_param.a1.0.1.ctl'),
os.path.join('%s',
'utilities',
- 'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
+ 'ACESlib.Lin_to_Log2_param.a1.0.1.ctl'),
shaper_input_scale_generic_log2,
log2_params]
shaper_data[log2_shaper_name] = log2_shaper_data
- # Space with a more user-friendly name. Direct copy otherwise.
- log2_shaper_copy_name = "Log2 Shaper"
- log2_shaper_copy_colorspace = ColorSpace(log2_shaper_copy_name)
- log2_shaper_copy_colorspace.description = 'The %s color space' % log2_shaper_copy_name
- log2_shaper_copy_colorspace.aliases = [
- "crv_%s" % compact(log2_shaper_copy_name)]
- log2_shaper_copy_colorspace.equality_group = log2_shaper_copy_name
- log2_shaper_copy_colorspace.family = log2_shaper_colorspace.family
- log2_shaper_copy_colorspace.is_data = log2_shaper_colorspace.is_data
- log2_shaper_copy_colorspace.to_reference_transforms = list(
- log2_shaper_colorspace.to_reference_transforms)
- log2_shaper_copy_colorspace.from_reference_transforms = list(
- log2_shaper_colorspace.from_reference_transforms)
- colorspaces.append(log2_shaper_copy_colorspace)
-
# Defining the *Log2 shaper that includes the AP1* primaries.
- log2_shaper_api1_name = "%s - AP1" % "Log2 Shaper"
- log2_shaper_api1_colorspace = ColorSpace(log2_shaper_api1_name)
- log2_shaper_api1_colorspace.description = 'The %s color space' % log2_shaper_api1_name
+ log2_shaper_api1_name = '%s - AP1' % log2_shaper_name
+ log2_shaper_api1_colorspace = copy.deepcopy(log2_shaper_colorspace)
+
+ log2_shaper_api1_colorspace.name = log2_shaper_api1_name
+ log2_shaper_api1_colorspace.description = (
+ 'The %s color space' % log2_shaper_api1_name)
log2_shaper_api1_colorspace.aliases = [
- "%s_ap1" % compact(log2_shaper_copy_name)]
+ '%s_ap1' % compact(log2_shaper_name)]
log2_shaper_api1_colorspace.equality_group = log2_shaper_api1_name
- log2_shaper_api1_colorspace.family = log2_shaper_colorspace.family
- log2_shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
- log2_shaper_api1_colorspace.to_reference_transforms = list(
- log2_shaper_colorspace.to_reference_transforms)
- log2_shaper_api1_colorspace.from_reference_transforms = list(
- log2_shaper_colorspace.from_reference_transforms)
-
- # *AP1* primaries to *AP0* primaries.
+
+ # *AP1* primaries to *AP0* primaries
log2_shaper_api1_colorspace.to_reference_transforms.append({
'type': 'matrix',
'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
})
colorspaces.append(log2_shaper_api1_colorspace)
- # Defining the *Log2 shaper that includes the AP1* primaries.
- # Named with 'shaper_name' variable. Needed for some LUT baking steps.
- shaper_api1_name = "%s - AP1" % shaper_name
- shaper_api1_colorspace = ColorSpace(shaper_api1_name)
- shaper_api1_colorspace.description = 'The %s color space' % shaper_api1_name
- shaper_api1_colorspace.aliases = ["%s_ap1" % compact(shaper_name)]
- shaper_api1_colorspace.equality_group = shaper_api1_name
- shaper_api1_colorspace.family = log2_shaper_colorspace.family
- shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
- shaper_api1_colorspace.to_reference_transforms = list(
- log2_shaper_api1_colorspace.to_reference_transforms)
- shaper_api1_colorspace.from_reference_transforms = list(
- log2_shaper_api1_colorspace.from_reference_transforms)
- colorspaces.append(shaper_api1_colorspace)
-
- # Define the base *Dolby PQ Shaper*
- #
- dolbypq_shaper_name = "Dolby PQ 10000"
- dolbypq_shaper_name_aliases = ["crv_%s" % "dolbypq_10000"]
+ return shaper_data, colorspaces
+
+# -------------------------------------------------------------------------
+# *Dolby PQ-based Shapers*
+# -------------------------------------------------------------------------
+def create_shapers_dolbypq(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ shaper_name,
+ middle_grey,
+ min_exposure,
+ max_exposure):
+ """
+ Creates two *Dolby PQ* colorspaces, one with now gamut conversion, the other with
+ the conversion from *ACES* *AP0* to *AP1*
+
+ Parameters
+ ----------
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+ shaper_name : str or unicode, optional
+ The name of the ColorSpace
+ middle_grey : float
+ The middle of the dynamic range covered by the transfer function
+ min_exposure : float
+ The offset from middle grey, in stops, that defines the low end of the dynamic
+ range covered by the transfer function
+ max_exposure : float
+ The offset from middle grey, in stops, that defines the high end of the dynamic
+ range covered by the transfer function
+
+ Returns
+ -------
+ dict
+ Values defining a Shaper
+ list of ColorSpaces
+ A list of *Dolby PQ* colorspaces that covers a specific dynamic range
+ """
+ colorspaces = []
+ shaper_data = {}
+
+ # Define the *Dolby PQ Shaper that considers a fixed linear range*
+ dolby_pq_shaper_name = shaper_name
+ dolby_pq_shaper_name_aliases = ['crv_%s' % compact(dolby_pq_shaper_name)]
+
+ dolby_pq_params = {
+ 'middleGrey': middle_grey,
+ 'minExposure': min_exposure,
+ 'maxExposure': max_exposure}
- dolbypq_shaper_colorspace = create_dolbypq(
+ dolby_pq_shaper_colorspace = create_Dolby_PQ_shaper(
aces_ctl_directory,
lut_directory,
lut_resolution_1d,
cleanup,
- name=dolbypq_shaper_name,
- aliases=dolbypq_shaper_name_aliases)
- colorspaces.append(dolbypq_shaper_colorspace)
+ name=dolby_pq_shaper_name,
+ aliases=dolby_pq_shaper_name_aliases,
+ middle_grey=dolby_pq_params['middleGrey'],
+ min_exposure=dolby_pq_params['minExposure'],
+ max_exposure=dolby_pq_params['maxExposure'])
+ colorspaces.append(dolby_pq_shaper_colorspace)
# *Dolby PQ* shaper name and *CTL* transforms bundled up.
- dolbypq_shaper_data = [
- dolbypq_shaper_name,
+ dolby_pq_shaper_data = [
+ dolby_pq_shaper_name,
os.path.join('%s',
'utilities',
- 'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl'),
+ 'ACESlib.OCIOshaper_to_Lin_param.a1.0.1.ctl'),
os.path.join('%s',
'utilities',
- 'ACESlib.Lin_to_DolbyPQ.a1.0.0.ctl'),
+ 'ACESlib.Lin_to_OCIOshaper_param.a1.0.1.ctl'),
1.0,
- {}]
+ dolby_pq_params]
- shaper_data[dolbypq_shaper_name] = dolbypq_shaper_data
+ shaper_data[dolby_pq_shaper_name] = dolby_pq_shaper_data
- # Define the *Dolby PQ Shaper that considers a fixed linear range*
+ # Defining the *Dolby PQ shaper that includes the AP1* primaries.
+ dolby_pq_shaper_api1_name = '%s - AP1' % dolby_pq_shaper_name
+ dolby_pq_shaper_api1_colorspace = copy.deepcopy(dolby_pq_shaper_colorspace)
+
+ dolby_pq_shaper_api1_colorspace.name = dolby_pq_shaper_api1_name
+ dolby_pq_shaper_api1_colorspace.description = (
+ 'The %s color space' % dolby_pq_shaper_api1_name)
+ dolby_pq_shaper_api1_colorspace.aliases = [
+ '%s_ap1' % compact(dolby_pq_shaper_name)]
+ dolby_pq_shaper_api1_colorspace.equality_group = dolby_pq_shaper_api1_name
+
+ # *AP1* primaries to *AP0* primaries
+ dolby_pq_shaper_api1_colorspace.to_reference_transforms.append({
+ 'type': 'matrix',
+ 'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
+ 'direction': 'forward'
+ })
+ colorspaces.append(dolby_pq_shaper_api1_colorspace)
+
+ return shaper_data, colorspaces
+
+
+# -------------------------------------------------------------------------
+# *Shapers*
+# -------------------------------------------------------------------------
+def create_shapers(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup):
+
+ """
+ Creates sets of shaper colorspaces covering the *Log 2* and *Dolby PQ*
+ transfer functions and dynamic ranges suitable of use with the 48 nit,
+ 1000 nit, 2000 nit and 4000 nit *ACES Output Transforms*
+
+ Parameters
+ ----------
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+
+ Returns
+ -------
+ list of dicts
+ Values defining a set of Shapers
+ list of ColorSpaces
+ A list of Shaper colorspaces that covers a varying dynamic ranges and
+ transfer functions
+ """
+
+ colorspaces = []
+ shaper_data = {}
+
+ # Define the base *Log2 48 nits shaper*
#
- dolbypq_scaled_shaper_name = "Dolby PQ Scaled"
- dolbypq_scaled_shaper_name_aliases = ["crv_%s" % "dolbypq_scaled"]
+ (log2_48nits_shaper_data,
+ log2_48nits_colorspaces) = create_shapers_log2(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ 'Log2 48 nits Shaper',
+ 0.18,
+ -6.5,
+ 6.5)
+ colorspaces.extend(log2_48nits_colorspaces)
+ shaper_data.update(log2_48nits_shaper_data)
+
+ # Define the base *Log2 1000 nits shaper*
+ #
+ (log2_1000nits_shaper_data,
+ log2_1000nits_colorspaces) = create_shapers_log2(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ 'Log2 1000 nits Shaper',
+ 0.18,
+ -12.0,
+ 10.0)
+ colorspaces.extend(log2_1000nits_colorspaces)
+ shaper_data.update(log2_1000nits_shaper_data)
+
+ # Define the base *Log2 2000 nits shaper*
+ #
+ (log2_2000nits_shaper_data,
+ log2_2000nits_colorspaces) = create_shapers_log2(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ 'Log2 2000 nits Shaper',
+ 0.18,
+ -12.0,
+ 11.0)
+ colorspaces.extend(log2_2000nits_colorspaces)
+ shaper_data.update(log2_2000nits_shaper_data)
+
+ # Define the base *Log2 4000 nits shaper*
+ #
+ (log2_4000nits_shaper_data,
+ log2_4000nits_colorspaces) = create_shapers_log2(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ 'Log2 4000 nits Shaper',
+ 0.18,
+ -12.0,
+ 12.0)
+ colorspaces.extend(log2_4000nits_colorspaces)
+ shaper_data.update(log2_4000nits_shaper_data)
+
+ # Define the base *Dolby PQ transfer function*
+ #
+ dolby_pq_shaper_name = 'Dolby PQ 10000'
+ dolby_pq_shaper_name_aliases = ['crv_%s' % 'dolbypq_10000']
- dolbypq_scaled_shaper_colorspace = create_dolbypq_scaled(
+ dolby_pq_shaper_colorspace = create_Dolby_PQ(
aces_ctl_directory,
lut_directory,
lut_resolution_1d,
cleanup,
- name=dolbypq_scaled_shaper_name,
- aliases=dolbypq_scaled_shaper_name_aliases)
- colorspaces.append(dolbypq_scaled_shaper_colorspace)
+ name=dolby_pq_shaper_name,
+ aliases=dolby_pq_shaper_name_aliases)
+ colorspaces.append(dolby_pq_shaper_colorspace)
# *Dolby PQ* shaper name and *CTL* transforms bundled up.
- dolbypq_scaled_shaper_data = [
- dolbypq_scaled_shaper_name,
+ dolby_pq_shaper_data = [
+ dolby_pq_shaper_name,
os.path.join('%s',
'utilities',
- 'ACESlib.DolbyPQ_to_Lin_param.a1.0.0.ctl'),
+ 'ACESlib.DolbyPQ_to_Lin.a1.0.1.ctl'),
os.path.join('%s',
'utilities',
- 'ACESlib.Lin_to_DolbyPQ_param.a1.0.0.ctl'),
+ 'ACESlib.Lin_to_DolbyPQ.a1.0.1.ctl'),
1.0,
- log2_params]
+ {}]
- shaper_data[dolbypq_scaled_shaper_name] = dolbypq_scaled_shaper_data
+ shaper_data[dolby_pq_shaper_name] = dolby_pq_shaper_data
+ # Define the *Dolby PQ 48 nits shaper*
+ #
+ (dolbypq_48nits_shaper_data,
+ dolbypq_48nits_colorspaces) = create_shapers_dolbypq(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ 'Dolby PQ 48 nits Shaper',
+ 0.18,
+ -6.5,
+ 6.5)
+ colorspaces.extend(dolbypq_48nits_colorspaces)
+ shaper_data.update(dolbypq_48nits_shaper_data)
+
+ # Define the *Dolby PQ 1000 nits shaper*
+ #
+ (dolbypq_1000nits_shaper_data,
+ dolbypq_1000nits_colorspaces) = create_shapers_dolbypq(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ 'Dolby PQ 1000 nits Shaper',
+ 0.18,
+ -12.0,
+ 10.0)
+ colorspaces.extend(dolbypq_1000nits_colorspaces)
+ shaper_data.update(dolbypq_1000nits_shaper_data)
+
+ # Define the *Dolby PQ 2000 nits shaper*
#
- # Pick a specific shaper
+ (dolbypq_2000nits_shaper_data,
+ dolbypq_2000nits_colorspaces) = create_shapers_dolbypq(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ 'Dolby PQ 2000 nits Shaper',
+ 0.18,
+ -12.0,
+ 11.0)
+ colorspaces.extend(dolbypq_2000nits_colorspaces)
+ shaper_data.update(dolbypq_2000nits_shaper_data)
+
+ # Define the *Dolby PQ 4000 nits shaper*
#
- rrt_shaper = log2_shaper_data
- # rrt_shaper = dolbypq_scaled_shaper_data
+ (dolbypq_4000nits_shaper_data,
+ dolbypq_4000nits_colorspaces) = create_shapers_dolbypq(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup,
+ 'Dolby PQ 4000 nits Shaper',
+ 0.18,
+ -12.0,
+ 12.0)
+ colorspaces.extend(dolbypq_4000nits_colorspaces)
+ shaper_data.update(dolbypq_4000nits_shaper_data)
+
+ return shaper_data, colorspaces
+
+# -------------------------------------------------------------------------
+# *ODTs*
+# -------------------------------------------------------------------------
+def create_ODTs(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ lut_resolution_3d,
+ odt_info,
+ shaper_name,
+ cleanup,
+ linear_display_space,
+ log_display_space):
+ """
+ Create ColorSpaces representing the *ACES Output Transforms*
+
+ Parameters
+ ----------
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ lut_resolution_3d : int
+ The resolution of generated 3D LUTs
+ odt_info : dict
+ A collection of values that define the Output Transforms that need to be
+ generated
+ shaper_name : str or unicode, optional
+ The name of Shaper ColorSpace to use when generating LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
+ linear_display_space : lstr or unicode
+ The name of the ColorSpace to use for the raw or linear View
+ log_display_space : lstr or unicode
+ The name of the ColorSpace to use for the log View
+
+ Returns
+ -------
+ list of ColorSpaces
+ ColorSpaces representing the *ACES Output Transforms*
+ list of dicts
+ Collections of names and ColorSpaces corresponding to the Displays and
+ Views
+ """
+
+ colorspaces = []
+ displays = {}
+
+ # -------------------------------------------------------------------------
+ # *RRT / ODT* Shaper Options
+ # -------------------------------------------------------------------------
+ shaper_data, shaper_colorspaces = create_shapers(aces_ctl_directory,
+ lut_directory,
+ lut_resolution_1d,
+ cleanup)
+
+ colorspaces.extend(shaper_colorspaces)
+
+ # Assumes shaper has variants covering the range expected by the
+ # 48 nit, 1000 nit, 2000 nit and 4000 nit Ouput Transforms
+ rrt_shaper_48nits = shaper_data[shaper_name]
+ rrt_shaper_1000nits = shaper_data[shaper_name.replace("48 nits", "1000 nits")]
+ rrt_shaper_2000nits = shaper_data[shaper_name.replace("48 nits", "2000 nits")]
+ rrt_shaper_4000nits = shaper_data[shaper_name.replace("48 nits", "4000 nits")]
# *RRT + ODT* combinations.
sorted_odts = sorted(odt_info.iteritems(), key=lambda x: x[1])
for odt in sorted_odts:
(odt_name, odt_values) = odt
- # Generating only full range transform for *ODTs* that can generate
- # either *legal* or *full* output.
-
- # Uncomment these lines and the lower section and flip the 'legalRange' value to 1
- # to recover the old behavior, where both legal and full range LUTs were generated
if odt_values['transformHasFullLegalSwitch']:
- # odt_name_legal = '%s - Legal' % odt_values['transformUserName']
odt_legal['legalRange'] = 0
- # else:
- # odt_name_legal = odt_values['transformUserName']
odt_name_legal = odt_values['transformUserName']
-
odt_legal = odt_values.copy()
-
- odt_aliases = ["out_%s" % compact(odt_name_legal)]
+ odt_aliases = ['out_%s' % compact(odt_name_legal)]
+
+ if odt_name_legal in ['P3-D60 ST2048 (1000 nits)', 'Rec.2020 ST2048 (1000 nits)']:
+ rrt_shaper = rrt_shaper_1000nits
+ elif odt_name_legal in ['P3-D60 ST2048 (2000 nits)']:
+ rrt_shaper = rrt_shaper_2000nits
+ elif odt_name_legal in ['P3-D60 ST2048 (4000 nits)']:
+ rrt_shaper = rrt_shaper_4000nits
+ else:
+ rrt_shaper = rrt_shaper_48nits
cs = create_ACES_RRT_plus_ODT(
odt_name_legal,
rrt_shaper,
aces_ctl_directory,
lut_directory,
- lut_resolution_1d,
lut_resolution_3d,
cleanup,
odt_aliases)
'Log': log_display_space,
'Output Transform': cs}
- '''
- # Generating full range transform for *ODTs* that can generate
- # either *legal* or *full* output.
- if odt_values['transformHasFullLegalSwitch']:
- print('Generating full range ODT for %s' % odt_name)
-
- odt_name_full = '%s - Full' % odt_values['transformUserName']
- odt_full = odt_values.copy()
- odt_full['legalRange'] = 0
-
- odt_full_aliases = ["out_%s" % compact(odt_name_full)]
-
- cs_full = create_ACES_RRT_plus_ODT(
- odt_name_full,
- odt_full,
- rrt_shaper,
- aces_ctl_directory,
- lut_directory,
- lut_resolution_1d,
- lut_resolution_3d,
- cleanup,
- odt_full_aliases)
- colorspaces.append(cs_full)
-
- displays[odt_name_full] = {
- 'Raw': linear_display_space,
- 'Log': log_display_space,
- 'Output Transform': cs_full}
- '''
-
- return (colorspaces, displays)
+ return colorspaces, displays
def get_transform_info(ctl_transform):
"""
- Object description.
+ Returns the information stored in first couple of lines of an official
+ *ACES Transform* CTL file
Parameters
----------
- parameter : type
- Parameter description.
+ ctl_transform : str or unicode
+ The path to the CTL file to be scraped.
Returns
-------
- type
- Return value description.
+ tuple
+ Combination of Transform ID, User Name, User Name Prefix and Full/Legal
+ switch
"""
with open(ctl_transform, 'rb') as fp:
transform_user_name_prefix = (
lines[2][3:].split('<')[1].split('>')[1].split('-')[0].strip())
- # Figuring out if this transform has options for processing full and legal range
+ # Figuring out if this transform has options for processing *full* and
+ # *legal* ranges.
transform_full_legal_switch = False
for line in lines:
- if line.strip() == "input varying int legalRange = 0":
- # print( "%s has legal range flag" % transform_user_name)
+ if line.strip() == 'input varying int legalRange = 0':
+ # print( '%s has legal range flag' % transform_user_name)
transform_full_legal_switch = True
break
- return (transform_id, transform_user_name, transform_user_name_prefix,
+ return (transform_id,
+ transform_user_name,
+ transform_user_name_prefix,
transform_full_legal_switch)
def get_ODTs_info(aces_ctl_directory):
"""
- Object description.
-
- For versions after WGR9.
+ Returns the information describing the names and CTL files associated with
+ the *ACES Output Transforms* in a given ACES release
Parameters
----------
- parameter : type
- Parameter description.
+ aces_ctl_directory : str or unicode
+ The path to the base *ACES* CTL directory
Returns
-------
- type
- Return value description.
+ dict of dicts
+ Collecton of dicts, one describing each *ACES Output Transform*
"""
# TODO: Investigate usage of *files_walker* definition here.
for fname in file_list:
all_odt.append((os.path.join(dir_name, fname)))
- odt_CTLs = [x for x in all_odt if
+ odt_ctls = [x for x in all_odt if
('InvODT' not in x) and (os.path.split(x)[-1][0] != '.')]
odts = {}
- for odt_CTL in odt_CTLs:
- odt_tokens = os.path.split(odt_CTL)
+ for odt_ctl in odt_ctls:
+ odt_tokens = os.path.split(odt_ctl)
# Handling nested directories.
odt_path_tokens = os.path.split(odt_tokens[-2])
odt_path_tokens = os.path.split(odt_path_tokens[-2])
odt_dir = os.path.join(odt_path_tokens[-1], odt_dir)
- # Building full name,
- transform_CTL = odt_tokens[-1]
- odt_name = string.join(transform_CTL.split('.')[1:-1], '.')
+ # Building full name.
+ transform_ctl = odt_tokens[-1]
+ odt_name = string.join(transform_ctl.split('.')[1:-1], '.')
# Finding id, user name and user name prefix.
- (transform_ID,
+ (transform_id,
transform_user_name,
transform_user_name_prefix,
transform_full_legal_switch) = get_transform_info(
- os.path.join(aces_ctl_directory, 'odt', odt_dir, transform_CTL))
+ os.path.join(aces_ctl_directory, 'odt', odt_dir, transform_ctl))
# Finding inverse.
- transform_CTL_inverse = 'InvODT.%s.ctl' % odt_name
+ transform_ctl_inverse = 'InvODT.%s.ctl' % odt_name
if not os.path.exists(
- os.path.join(odt_tokens[-2], transform_CTL_inverse)):
- transform_CTL_inverse = None
+ os.path.join(odt_tokens[-2], transform_ctl_inverse)):
+ transform_ctl_inverse = None
- # Add to list of ODTs
+ # Adding to list of *ODTs*.
odts[odt_name] = {}
- odts[odt_name]['transformCTL'] = os.path.join(odt_dir, transform_CTL)
- if transform_CTL_inverse is not None:
+ odts[odt_name]['transformCTL'] = os.path.join(odt_dir, transform_ctl)
+ if transform_ctl_inverse is not None:
odts[odt_name]['transformCTLInverse'] = os.path.join(
- odt_dir, transform_CTL_inverse)
+ odt_dir, transform_ctl_inverse)
- odts[odt_name]['transformID'] = transform_ID
+ odts[odt_name]['transformID'] = transform_id
odts[odt_name]['transformUserNamePrefix'] = transform_user_name_prefix
odts[odt_name]['transformUserName'] = transform_user_name
odts[odt_name][
'transformHasFullLegalSwitch'] = transform_full_legal_switch
- forward_CTL = odts[odt_name]['transformCTL']
+ forward_ctl = odts[odt_name]['transformCTL']
print('ODT : %s' % odt_name)
- print('\tTransform ID : %s' % transform_ID)
+ print('\tTransform ID : %s' % transform_id)
print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
print('\tTransform User Name : %s' % transform_user_name)
print(
'\tHas Full / Legal Switch : %s' % transform_full_legal_switch)
- print('\tForward ctl : %s' % forward_CTL)
+ print('\tForward ctl : %s' % forward_ctl)
if 'transformCTLInverse' in odts[odt_name]:
- inverse_CTL = odts[odt_name]['transformCTLInverse']
- print('\tInverse ctl : %s' % inverse_CTL)
+ inverse_ctl = odts[odt_name]['transformCTLInverse']
+ print('\tInverse ctl : %s' % inverse_ctl)
else:
print('\tInverse ctl : %s' % 'None')
def get_LMTs_info(aces_ctl_directory):
"""
- Object description.
-
- For versions after WGR9.
+ Returns the information describing the names and CTL files associated with
+ the *ACES Look Transforms* in a given ACES release
Parameters
----------
- parameter : type
- Parameter description.
+ aces_ctl_directory : str or unicode
+ The path to the base *ACES* CTL directory
Returns
-------
- type
- Return value description.
+ dict of dicts
+ Collecton of dicts, one describing each *ACES Look Transform*
"""
# TODO: Investigate refactoring with previous definition.
for fname in file_list:
all_lmt.append((os.path.join(dir_name, fname)))
- lmt_CTLs = [x for x in all_lmt if
+ lmt_ctls = [x for x in all_lmt if
('InvLMT' not in x) and ('README' not in x) and (
os.path.split(x)[-1][0] != '.')]
lmts = {}
- for lmt_CTL in lmt_CTLs:
- lmt_tokens = os.path.split(lmt_CTL)
+ for lmt_ctl in lmt_ctls:
+ lmt_tokens = os.path.split(lmt_ctl)
# Handlimg nested directories.
lmt_path_tokens = os.path.split(lmt_tokens[-2])
lmt_dir = os.path.join(lmt_path_tokens[-1], lmt_dir)
# Building full name.
- transform_CTL = lmt_tokens[-1]
- lmt_name = string.join(transform_CTL.split('.')[1:-1], '.')
+ transform_ctl = lmt_tokens[-1]
+ lmt_name = string.join(transform_ctl.split('.')[1:-1], '.')
# Finding id, user name and user name prefix.
- (transform_ID,
+ (transform_id,
transform_user_name,
transform_user_name_prefix,
transform_full_legal_switch) = get_transform_info(
- os.path.join(aces_ctl_directory, lmt_dir, transform_CTL))
+ os.path.join(aces_ctl_directory, lmt_dir, transform_ctl))
# Finding inverse.
- transform_CTL_inverse = 'InvLMT.%s.ctl' % lmt_name
+ transform_ctl_inverse = 'InvLMT.%s.ctl' % lmt_name
if not os.path.exists(
- os.path.join(lmt_tokens[-2], transform_CTL_inverse)):
- transform_CTL_inverse = None
+ os.path.join(lmt_tokens[-2], transform_ctl_inverse)):
+ transform_ctl_inverse = None
lmts[lmt_name] = {}
- lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_CTL)
- if transform_CTL_inverse is not None:
+ lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_ctl)
+ if transform_ctl_inverse is not None:
lmts[lmt_name]['transformCTLInverse'] = os.path.join(
- lmt_dir, transform_CTL_inverse)
+ lmt_dir, transform_ctl_inverse)
- lmts[lmt_name]['transformID'] = transform_ID
+ lmts[lmt_name]['transformID'] = transform_id
lmts[lmt_name]['transformUserNamePrefix'] = transform_user_name_prefix
lmts[lmt_name]['transformUserName'] = transform_user_name
- forward_CTL = lmts[lmt_name]['transformCTL']
+ forward_ctl = lmts[lmt_name]['transformCTL']
print('LMT : %s' % lmt_name)
- print('\tTransform ID : %s' % transform_ID)
+ print('\tTransform ID : %s' % transform_id)
print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
print('\tTransform User Name : %s' % transform_user_name)
- print('\t Forward ctl : %s' % forward_CTL)
+ print('\t Forward ctl : %s' % forward_ctl)
if 'transformCTLInverse' in lmts[lmt_name]:
- inverse_CTL = lmts[lmt_name]['transformCTLInverse']
- print('\t Inverse ctl : %s' % inverse_CTL)
+ inverse_ctl = lmts[lmt_name]['transformCTLInverse']
+ print('\t Inverse ctl : %s' % inverse_ctl)
else:
print('\t Inverse ctl : %s' % 'None')
shaper_name,
cleanup):
"""
- Generates the colorspace conversions.
+ Generates the *ACES* colorspaces, displays and views
Parameters
----------
- parameter : type
- Parameter description.
+ aces_ctl_directory : str or unicode
+ The path to the aces 'transforms/ctl/utilities'
+ lut_directory : str or unicode
+ The directory to use when generating LUTs
+ lut_resolution_1d : int
+ The resolution of generated 1D LUTs
+ lut_resolution_3d : int
+ The resolution of generated 3D LUTs
+ lmt_info : dict
+ A collection of values that define the Look Transforms that need to be
+ generated
+ odt_info : dict
+ A collection of values that define the Output Transforms that need to be
+ generated
+ shaper_name : str or unicode, optional
+ The name of Shaper ColorSpace to use when generating LUTs
+ cleanup : bool
+ Whether or not to clean up the intermediate images
Returns
-------
- type
- Return value description.
+ tuple
+ A collection of values defining
+ the reference colorspace : ACES
+ a list of the colorspaces created
+ a list of the displays created
+ a list of the general log colorspace
+ a list of the role assignments
+ the name of the default display
"""
colorspaces = []
lut_resolution_1d, cleanup)
colorspaces.append(ACESproxy)
- ACEScg = create_ACEScg(aces_ctl_directory, lut_directory,
- lut_resolution_1d, cleanup)
+ ACEScg = create_ACEScg()
colorspaces.append(ACEScg)
- ADX10 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=10)
+ ADX10 = create_ADX(lut_directory, bit_depth=10)
colorspaces.append(ADX10)
- ADX16 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=16)
+ ADX16 = create_ADX(lut_directory, bit_depth=16)
colorspaces.append(ADX16)
lmts = create_LMTs(aces_ctl_directory,
lut_resolution_1d,
lut_resolution_3d,
lmt_info,
- shaper_name,
cleanup)
colorspaces.extend(lmts)
ACEScc)
colorspaces.extend(odts)
- # Wish there was an automatic way to get this from the CTL
- defaultDisplay = "sRGB (D60 sim.)"
+ # TODO: Investigate if there is a way to retrieve these values from *CTL*.
+ default_display = 'sRGB (D60 sim.)'
+ color_picking = 'Rec.709'
- roles = {'color_picking': ACEScg.name,
+ roles = {'color_picking': color_picking,
'color_timing': ACEScc.name,
'compositing_log': ACEScc.name,
'data': '',
'matte_paint': ACEScc.name,
'reference': '',
'scene_linear': ACEScg.name,
- 'texture_paint': ''}
+ 'texture_paint': '',
+ 'compositing_linear': ACEScg.name,
+ 'rendering': ACEScg.name}
- return ACES, colorspaces, displays, ACEScc, roles, defaultDisplay
+ return ACES, colorspaces, displays, ACEScc, roles, default_display