print e
print 'Configuration was not written due to a failed Sanity Check'
return
- # sys.exit()
with open(config_path, mode='w') as fp:
fp.write(config.serialize())
Return value description.
"""
- # print('Generating transforms')
-
interpolation_options = {
'linear': ocio.Constants.INTERP_LINEAR,
'nearest': ocio.Constants.INTERP_NEAREST,
ocio_transforms.append(ocio_transform)
elif transform['type'] == 'matrix':
ocio_transform = ocio.MatrixTransform()
- # MatrixTransform member variables can't be initialized directly.
- # Each must be set individually.
+ # MatrixTransform member variables can't be initialized directly
+ # and must be set individually.
ocio_transform.setMatrix(transform['matrix'])
if 'offset' in transform:
else:
print('Ignoring unknown transform type : %s' % transform['type'])
- # Build a group transform if necessary
if len(ocio_transforms) > 1:
- transform_G = ocio.GroupTransform()
+ group_transform = ocio.GroupTransform()
for transform in ocio_transforms:
- transform_G.push_back(transform)
- transform = transform_G
-
- # Or take the first transform from the list
+ group_transform.push_back(transform)
+ transform = group_transform
else:
transform = ocio_transforms[0]
Return value description.
"""
- # Create the config
+ # Creating the *OCIO* configuration.
config = ocio.Config()
- #
- # Set config wide values
- #
+ # Setting configuration overall values.
config.setDescription('An ACES config generated from python')
config.setSearchPath('luts')
- #
- # Define the reference color space
- #
+ # Defining the reference colorspace.
reference_data = config_data['referenceColorSpace']
print('Adding the reference color space : %s' % reference_data.name)
- # Create a color space
reference = ocio.ColorSpace(
name=reference_data.name,
bitDepth=reference_data.bit_depth,
allocation=reference_data.allocation_type,
allocationVars=reference_data.allocation_vars)
- # Add to config
config.addColorSpace(reference)
- #
- # Create the rest of the color spaces
- #
+ # Creating the remaining colorspaces.
for colorspace in sorted(config_data['colorSpaces']):
print('Creating new color space : %s' % colorspace.name)
allocation=colorspace.allocation_type,
allocationVars=colorspace.allocation_vars)
- if colorspace.to_reference_transforms != []:
+ if colorspace.to_reference_transforms:
print('Generating To-Reference transforms')
ocio_transform = generate_OCIO_transform(
colorspace.to_reference_transforms)
ocio_transform,
ocio.Constants.COLORSPACE_DIR_TO_REFERENCE)
- if colorspace.from_reference_transforms != []:
+ if colorspace.from_reference_transforms:
print('Generating From-Reference transforms')
ocio_transform = generate_OCIO_transform(
colorspace.from_reference_transforms)
print('')
- #
- # Define the views and displays
- #
+ # Defining the *views* and *displays*.
displays = []
views = []
- # Generic display and view setup
+ # Defining a *generic* *display* and *view* setup.
if not nuke:
for display, view_list in config_data['displays'].iteritems():
for view_name, colorspace in view_list.iteritems():
if not (view_name in views):
views.append(view_name)
displays.append(display)
- # A Nuke specific set of views and displays
- #
- # XXX
- # A few names: Output Transform, ACES, ACEScc, are hard-coded here.
- # Would be better to automate.
- #
+ # Defining the *Nuke* specific set of *views* and *displays*.
else:
for display, view_list in config_data['displays'].iteritems():
for view_name, colorspace in view_list.iteritems():
- if (view_name == 'Output Transform'):
+ if view_name == 'Output Transform':
view_name = 'View'
config.addDisplay(display, view_name, colorspace.name)
if not (view_name in views):
config.addDisplay('log', 'View', 'ACEScc')
displays.append('log')
- # Set active displays and views
+ # Setting the active *displays* and *views*.
config.setActiveDisplays(','.join(sorted(displays)))
config.setActiveViews(','.join(views))
- #
- # Need to generalize this at some point
- #
-
- # Add Default Roles
set_config_default_roles(
config,
color_picking=reference.getName(),
scene_linear=reference.getName(),
texture_paint=reference.getName())
- # Check to make sure we didn't screw something up
config.sanityCheck()
return config
print('generateLUTs - begin')
config_data = {}
- #
- # Define the reference color space
- #
+ # Defining the reference colorspace.
ACES = ColorSpace('ACES2065-1')
ACES.description = (
'The Academy Color Encoding System reference color space')
config_data['referenceColorSpace'] = ACES
- #
- # Define the displays
- #
config_data['displays'] = {}
-
- #
- # Define the other color spaces
- #
config_data['colorSpaces'] = []
- # Matrix converting ACES AP1 primaries to AP0
+ # Matrix converting *ACES AP1* primaries to *AP0*.
ACES_AP1_to_AP0 = [0.6954522414, 0.1406786965, 0.1638690622,
0.0447945634, 0.8596711185, 0.0955343182,
-0.0055258826, 0.0040252103, 1.0015006723]
- # Matrix converting ACES AP0 primaries to XYZ
+ # Matrix converting *ACES AP0* primaries to *XYZ*.
ACES_AP0_to_XYZ = [0.9525523959, 0.0000000000, 0.0000936786,
0.3439664498, 0.7281660966, -0.0721325464,
0.0000000000, 0.0000000000, 1.0088251844]
- #
- # ACEScc
- #
+ # -------------------------------------------------------------------------
+ # *ACEScc*
+ # -------------------------------------------------------------------------
def create_ACEScc(name='ACEScc',
min_value=0.0,
max_value=1.0,
ctls = [os.path.join(aces_CTL_directory,
'ACEScc',
'ACEScsc.ACEScc_to_ACES.a1.0.0.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
+ # 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')]
'type': 'lutFile',
'path': lut,
'interpolation': 'linear',
- 'direction': 'forward'
- })
+ '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),
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
cs.from_reference_transforms = []
return cs
ACEScc = create_ACEScc()
config_data['colorSpaces'].append(ACEScc)
- #
- # ACESproxy
- #
+ # -------------------------------------------------------------------------
+ # *ACESproxy*
+ # -------------------------------------------------------------------------
def create_ACESproxy(name='ACESproxy'):
cs = ColorSpace(name)
cs.description = 'The %s color space' % name
cs.family = 'ACES'
cs.is_data = False
- ctls = [
- os.path.join(aces_CTL_directory,
- 'ACESproxy',
- 'ACEScsc.ACESproxy10i_to_ACES.a1.0.0.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')]
+ ctls = [os.path.join(aces_CTL_directory,
+ 'ACESproxy',
+ 'ACEScsc.ACESproxy10i_to_ACES.a1.0.0.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')]
lut = '%s_to_aces.spi1d' % name
lut = sanitize_path(lut)
'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),
ACESproxy = create_ACESproxy()
config_data['colorSpaces'].append(ACESproxy)
- #
- # ACEScg
- #
+ # -------------------------------------------------------------------------
+ # *ACEScg*
+ # -------------------------------------------------------------------------
def create_ACEScg(name='ACEScg'):
cs = ColorSpace(name)
cs.description = 'The %s color space' % name
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),
ACEScg = create_ACEScg()
config_data['colorSpaces'].append(ACEScg)
- #
- # ADX
- #
+ # -------------------------------------------------------------------------
+ # *ADX*
+ # -------------------------------------------------------------------------
def create_ADX(bit_depth=10, name='ADX'):
name = '%s%s' % (name, bit_depth)
cs = ColorSpace(name)
cs.is_data = False
if bit_depth == 10:
- cs.bit_depth = bit_depth = ocio.Constants.BIT_DEPTH_UINT10
+ cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT10
adx_to_cdd = [1023.0 / 500.0, 0.0, 0.0, 0.0,
0.0, 1023.0 / 500.0, 0.0, 0.0,
0.0, 0.0, 1023.0 / 500.0, 0.0,
0.0, 0.0, 0.0, 1.0]
offset = [-95.0 / 500.0, -95.0 / 500.0, -95.0 / 500.0, 0.0]
elif bit_depth == 16:
- cs.bit_depth = bit_depth = ocio.Constants.BIT_DEPTH_UINT16
+ cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT16
adx_to_cdd = [65535.0 / 8000.0, 0.0, 0.0, 0.0,
0.0, 65535.0 / 8000.0, 0.0, 0.0,
0.0, 0.0, 65535.0 / 8000.0, 0.0,
cs.to_reference_transforms = []
- # Convert from ADX to Channel-Dependent Density
+ # Converting from *ADX* to *Channel-Dependent Density*.
cs.to_reference_transforms.append({
'type': 'matrix',
'matrix': adx_to_cdd,
'direction': 'forward'
})
- # Copied from Alex Fry's adx_cid_to_rle.py
+ # 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)
return lut
- # Convert Channel Independent Density values to Relative Log Exposure
- # values.
+ # Converting *Channel Independent Density* values to
+ # *Relative Log Exposure* values.
lut = create_CID_to_RLE_LUT()
cs.to_reference_transforms.append({
'type': 'lutFile',
'path': lut,
'interpolation': 'linear',
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
- # Convert Relative Log Exposure values to Relative Exposure values
+ # Converting *Relative Log Exposure* values to
+ # *Relative Exposure* values.
cs.to_reference_transforms.append({
'type': 'log',
'base': 10,
- 'direction': 'inverse'
- })
+ 'direction': 'inverse'})
- # Convert Relative Exposure values to ACES values
+ # Convert *Relative Exposure* values to *ACES* values.
cs.to_reference_transforms.append({
'type': 'matrix',
'matrix': [0.72286, 0.12630, 0.15084, 0,
0.11923, 0.76418, 0.11659, 0,
0.01427, 0.08213, 0.90359, 0,
0.0, 0.0, 0.0, 1.0],
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
cs.from_reference_transforms = []
return cs
ADX16 = create_ADX(bit_depth=16)
config_data['colorSpaces'].append(ADX16)
- #
- # Camera Input Transforms
- #
+ # -------------------------------------------------------------------------
+ # *Camera Input Transforms*
+ # -------------------------------------------------------------------------
- # RED color spaces to ACES
+ # *RED* colorspaces to *ACES*.
red_colorspaces = red.create_colorspaces(lut_directory, lut_resolution_1d)
for cs in red_colorspaces:
config_data['colorSpaces'].append(cs)
- # Canon-Log to ACES
+ # *Canon-Log* to *ACES*.
canon_colorspaces = canon.create_colorspaces(lut_directory,
lut_resolution_1d)
for cs in canon_colorspaces:
config_data['colorSpaces'].append(cs)
- # S-Log to ACES
+ # *S-Log* to *ACES*.
sony_colorSpaces = sony.create_colorspaces(lut_directory,
lut_resolution_1d)
for cs in sony_colorSpaces:
config_data['colorSpaces'].append(cs)
- # Log-C to ACES
+ # *Log-C* to *ACES*.
arri_colorSpaces = arri.create_colorspaces(lut_directory,
lut_resolution_1d)
for cs in arri_colorSpaces:
config_data['colorSpaces'].append(cs)
- #
- # Generic log transform
- #
+ # -------------------------------------------------------------------------
+ # *Generic Log Transform*
+ # -------------------------------------------------------------------------
def create_generic_log(name='log',
min_value=0.0,
max_value=1.0,
cs.family = 'Utility'
cs.is_data = False
- ctls = [
- os.path.join(aces_CTL_directory,
- 'utilities',
- 'ACESlib.OCIO_shaper_log2_to_lin_param.a1.0.0.ctl')]
+ ctls = [os.path.join(
+ aces_CTL_directory,
+ 'utilities',
+ 'ACESlib.OCIO_shaper_log2_to_lin_param.a1.0.0.ctl')]
lut = '%s_to_aces.spi1d' % name
lut = sanitize_path(lut)
'float',
input_scale,
1.0,
- {
- 'middleGrey': middle_grey,
- 'minExposure': min_exposure,
- 'maxExposure': max_exposure
- },
+ {'middleGrey': middle_grey,
+ 'minExposure': min_exposure,
+ 'maxExposure': max_exposure},
cleanup,
aces_CTL_directory,
min_value,
'type': 'lutFile',
'path': lut,
'interpolation': 'linear',
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
cs.from_reference_transforms = []
return cs
- #
- # ACES LMTs
- #
+ # -------------------------------------------------------------------------
+ # *ACES LMTs*
+ # -------------------------------------------------------------------------
def create_ACES_LMT(lmt_name,
lmt_values,
shaper_info,
pprint.pprint(lmt_values)
- #
- # Generate the shaper transform
- #
+ # Generating the *shaper* transform.
(shaper_name,
shaper_to_ACES_CTL,
shaper_from_ACES_CTL,
shaper_params) = shaper_info
shaper_lut = '%s_to_aces.spi1d' % shaper_name
- if (not os.path.exists(os.path.join(lut_directory, shaper_lut))):
+ if not os.path.exists(os.path.join(lut_directory, shaper_lut)):
ctls = [shaper_to_ACES_CTL % aces_CTL_directory]
- # Remove spaces and parentheses
- shaper_lut = shaper_lut.replace(
- ' ', '_').replace(')', '_').replace('(', '_')
+ shaper_lut = sanitize_path(shaper_lut)
generate_1d_LUT_from_CTL(
os.path.join(lut_directory, shaper_lut),
'type': 'lutFile',
'path': shaper_lut,
'interpolation': 'linear',
- 'direction': 'inverse'
- }
+ 'direction': 'inverse'}
- #
- # Generate the forward transform
- #
+ # Generating the forward transform.
cs.from_reference_transforms = []
if 'transformCTL' in lmt_values:
- ctls = [
- shaper_to_ACES_CTL % aces_CTL_directory,
- os.path.join(aces_CTL_directory, lmt_values['transformCTL'])]
+ 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)
lut = sanitize_path(lut)
'direction': 'forward'
})
- #
- # Generate the inverse transform
- #
+ # Generating the inverse transform.
cs.to_reference_transforms = []
if 'transformCTLInverse' in lmt_values:
- ctls = [
- os.path.join(aces_CTL_directory,
- odt_values['transformCTLInverse']),
- shaper_from_ACES_CTL % aces_CTL_directory
- ]
+ ctls = [os.path.join(aces_CTL_directory,
+ odt_values['transformCTLInverse']),
+ shaper_from_ACES_CTL % aces_CTL_directory]
lut = 'Inverse.%s.%s.spi3d' % (odt_name, shaper_name)
lut = sanitize_path(lut)
'type': 'lutFile',
'path': lut,
'interpolation': 'tetrahedral',
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
shaper_inverse = shaper_OCIO_transform.copy()
shaper_inverse['direction'] = 'forward'
return cs
- #
- # LMT Shaper
- #
+ # -------------------------------------------------------------------------
+ # *LMT Shaper*
+ # -------------------------------------------------------------------------
lmt_lut_resolution_1d = max(4096, lut_resolution_1d)
lmt_lut_resolution_3d = max(65, lut_resolution_3d)
- # Log 2 shaper
+ # Defining the *Log 2* shaper.
lmt_shaper_name = 'LMT Shaper'
lmt_params = {
'middleGrey': 0.18,
'minExposure': -10.0,
- 'maxExposure': 6.5
- }
+ 'maxExposure': 6.5}
+
lmt_shaper = create_generic_log(name=lmt_shaper_name,
middle_grey=lmt_params['middleGrey'],
min_exposure=lmt_params['minExposure'],
shaper_input_scale_generic_log2 = 1.0
- # Log 2 shaper name and CTL transforms bundled up
+ # *Log 2* shaper name and *CTL* transforms bundled up.
lmt_shaper_data = [
lmt_shaper_name,
os.path.join('%s',
cleanup)
config_data['colorSpaces'].append(cs)
- #
- # ACES RRT with the supplied ODT
- #
+ # -------------------------------------------------------------------------
+ # *ACES RRT* with supplied *ODT*.
+ # -------------------------------------------------------------------------
def create_ACES_RRT_plus_ODT(odt_name,
odt_values,
shaper_info,
pprint.pprint(odt_values)
- #
- # Generate the shaper transform
- #
- # if 'shaperCTL' in odtValues:
+ # Generating the *shaper* transform.
(shaper_name,
shaper_to_ACES_CTL,
shaper_from_ACES_CTL,
shaper_params['legalRange'] = 0
shaper_lut = '%s_to_aces.spi1d' % shaper_name
- if (not os.path.exists(os.path.join(lut_directory, shaper_lut))):
+ if not os.path.exists(os.path.join(lut_directory, shaper_lut)):
ctls = [shaper_to_ACES_CTL % aces_CTL_directory]
- # Remove spaces and parentheses
- shaper_lut = shaper_lut.replace(
- ' ', '_').replace(')', '_').replace('(', '_')
+ shaper_lut = sanitize_path(shaper_lut)
generate_1d_LUT_from_CTL(
os.path.join(lut_directory, shaper_lut),
'type': 'lutFile',
'path': shaper_lut,
'interpolation': 'linear',
- 'direction': 'inverse'
- }
+ 'direction': 'inverse'}
- #
- # Generate the forward transform
- #
+ # Generating the *forward* transform.
cs.from_reference_transforms = []
if 'transformLUT' in odt_values:
- # Copy into the lut dir
transform_LUT_file_name = os.path.basename(
odt_values['transformLUT'])
lut = os.path.join(lut_directory, transform_LUT_file_name)
'type': 'lutFile',
'path': transform_LUT_file_name,
'interpolation': 'tetrahedral',
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
elif 'transformCTL' in odt_values:
- # shaperLut
-
ctls = [
shaper_to_ACES_CTL % aces_CTL_directory,
os.path.join(aces_CTL_directory,
'type': 'lutFile',
'path': lut,
'interpolation': 'tetrahedral',
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
- #
- # Generate the inverse transform
- #
+ # Generating the *inverse* transform.
cs.to_reference_transforms = []
if 'transformLUTInverse' in odt_values:
- # Copy into the lut dir
transform_LUT_inverse_file_name = os.path.basename(
odt_values['transformLUTInverse'])
lut = os.path.join(lut_directory, transform_LUT_inverse_file_name)
'type': 'lutFile',
'path': transform_LUT_inverse_file_name,
'interpolation': 'tetrahedral',
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
shaper_inverse = shaper_OCIO_transform.copy()
shaper_inverse['direction'] = 'forward'
cs.to_reference_transforms.append(shaper_inverse)
elif 'transformCTLInverse' in odt_values:
- ctls = [
- os.path.join(aces_CTL_directory,
- 'odt',
- odt_values['transformCTLInverse']),
- os.path.join(aces_CTL_directory,
- 'rrt',
- 'InvRRT.a1.0.0.ctl'),
- shaper_from_ACES_CTL % aces_CTL_directory
- ]
+ ctls = [os.path.join(aces_CTL_directory,
+ 'odt',
+ 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)
lut = sanitize_path(lut)
'type': 'lutFile',
'path': lut,
'interpolation': 'tetrahedral',
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
shaper_inverse = shaper_OCIO_transform.copy()
shaper_inverse['direction'] = 'forward'
return cs
- #
- # RRT/ODT shaper options
- #
+ # -------------------------------------------------------------------------
+ # *RRT / ODT* Shaper Options
+ # -------------------------------------------------------------------------
shaper_data = {}
- # Log 2 shaper
+ # Defining the *Log 2* shaper.
log2_shaper_name = shaper_name
log2_params = {
'middleGrey': 0.18,
'minExposure': -6.0,
- 'maxExposure': 6.5
- }
+ 'maxExposure': 6.5}
+
log2_shaper = create_generic_log(
name=log2_shaper_name,
middle_grey=log2_params['middleGrey'],
shaper_input_scale_generic_log2 = 1.0
- # Log 2 shaper name and CTL transforms bundled up
+ # *Log 2* shaper name and *CTL* transforms bundled up.
log2_shaper_data = [
log2_shaper_name,
os.path.join('%s',
shaper_data[log2_shaper_name] = log2_shaper_data
- #
- # Shaper that also includes the AP1 primaries
- # - Needed for some LUT baking steps
- #
+ # Shaper that also includes the AP1 primaries.
+ # Needed for some LUT baking steps.
log2_shaper_AP1 = create_generic_log(
name=log2_shaper_name,
middle_grey=log2_params['middleGrey'],
min_exposure=log2_params['minExposure'],
max_exposure=log2_params['maxExposure'])
log2_shaper_AP1.name = '%s - AP1' % log2_shaper_AP1.name
- # AP1 primaries to AP0 primaries
+
+ # *AP1* primaries to *AP0* primaries.
log2_shaper_AP1.to_reference_transforms.append({
'type': 'matrix',
'matrix': mat44_from_mat33(ACES_AP1_to_AP0),
})
config_data['colorSpaces'].append(log2_shaper_AP1)
- #
- # Choose your shaper
- #
- rrt_shaper_name = log2_shaper_name
rrt_shaper = log2_shaper_data
- #
- # RRT + ODT Combinations
- #
+ # *RRT + ODT* combinations.
sorted_odts = sorted(odt_info.iteritems(), key=lambda x: x[1])
print(sorted_odts)
for odt in sorted_odts:
(odt_name, odt_values) = odt
- # Have to handle ODTs that can generate either legal or full output
+ # Handling *ODTs* that can generate either *legal* or *full* output.
if odt_name in ['Academy.Rec2020_100nits_dim.a1.0.0',
'Academy.Rec709_100nits_dim.a1.0.0',
'Academy.Rec709_D60sim_100nits_dim.a1.0.0']:
cleanup)
config_data['colorSpaces'].append(cs)
- # Create a display entry using this color space
config_data['displays'][odt_name_legal] = {
'Linear': ACES,
'Log': ACEScc,
cleanup)
config_data['colorSpaces'].append(cs_full)
- # Create a display entry using this color space
config_data['displays'][odt_name_full] = {
'Linear': ACES,
'Log': ACEScc,
'Output Transform': cs_full}
- #
+ # -------------------------------------------------------------------------
# Generic Matrix transform
- #
+ # -------------------------------------------------------------------------
def create_generic_matrix(name='matrix',
from_reference_values=[],
to_reference_values=[]):
cs.is_data = False
cs.to_reference_transforms = []
- if to_reference_values != []:
+ if to_reference_values:
for matrix in to_reference_values:
cs.to_reference_transforms.append({
'type': 'matrix',
'matrix': mat44_from_mat33(matrix),
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
cs.from_reference_transforms = []
- if from_reference_values != []:
+ if from_reference_values:
for matrix in from_reference_values:
cs.from_reference_transforms.append({
'type': 'matrix',
'matrix': mat44_from_mat33(matrix),
- 'direction': 'forward'
- })
+ 'direction': 'forward'})
return cs
'Linear - AP1', to_reference_values=[ACES_AP1_to_AP0])
config_data['colorSpaces'].append(cs)
- # ACES to Linear, P3D60 primaries
+ # *ACES* to *Linear*, *P3D60* primaries.
XYZ_to_P3D60 = [2.4027414142, -0.8974841639, -0.3880533700,
-0.8325796487, 1.7692317536, 0.0237127115,
0.0388233815, -0.0824996856, 1.0363685997]
from_reference_values=[ACES_AP0_to_XYZ, XYZ_to_P3D60])
config_data['colorSpaces'].append(cs)
- # ACES to Linear, P3D60 primaries
+ # *ACES* to *Linear*, *P3DCI* primaries.
XYZ_to_P3DCI = [2.7253940305, -1.0180030062, -0.4401631952,
-0.7951680258, 1.6897320548, 0.0226471906,
0.0412418914, -0.0876390192, 1.1009293786]
from_reference_values=[ACES_AP0_to_XYZ, XYZ_to_P3DCI])
config_data['colorSpaces'].append(cs)
- # ACES to Linear, Rec 709 primaries
+ # *ACES* to *Linear*, *Rec. 709* primaries.
XYZ_to_Rec709 = [3.2409699419, -1.5373831776, -0.4986107603,
-0.9692436363, 1.8759675015, 0.0415550574,
0.0556300797, -0.2039769589, 1.0569715142]
from_reference_values=[ACES_AP0_to_XYZ, XYZ_to_Rec709])
config_data['colorSpaces'].append(cs)
- # ACES to Linear, Rec 2020 primaries
+ # *ACES* to *Linear*, *Rec. 2020* primaries.
XYZ_to_Rec2020 = [1.7166511880, -0.3556707838, -0.2533662814,
-0.6666843518, 1.6164812366, 0.0157685458,
0.0176398574, -0.0427706133, 0.9421031212]
Return value description.
"""
- # Add the legal and full variations into this list
odt_info_C = dict(odt_info)
for odt_CTL_name, odt_values in odt_info.iteritems():
if odt_CTL_name in ['Academy.Rec2020_100nits_dim.a1.0.0',
odt_prefix = odt_values['transformUserNamePrefix']
odt_name = odt_values['transformUserName']
- # For Photoshop
+ # *Photoshop*
for input_space in ['ACEScc', 'ACESproxy']:
args = ['--iconfig', config_path,
'-v',
args=args)
bake_LUT.execute()
- # For Flame, Lustre
+ # *Flame*, *Lustre*
for input_space in ['ACEScc', 'ACESproxy']:
args = ['--iconfig', config_path,
'-v',
args=(args + largs))
bake_LUT.execute()
- # For Maya, Houdini
+ # *Maya*, *Houdini*
for input_space in ['ACEScg', 'ACES2065-1']:
args = ['--iconfig', config_path,
'-v',
with open(ctl_transform, 'rb') as fp:
lines = fp.readlines()
- # Grab transform ID and User Name
- transform_ID = lines[1][3:].split('<')[1].split('>')[1].strip()
- # print(transformID)
+ # Retrieving the *transform ID* and *User Name*.
+ transform_id = lines[1][3:].split('<')[1].split('>')[1].strip()
transform_user_name = '-'.join(
lines[2][3:].split('<')[1].split('>')[1].split('-')[1:]).strip()
transform_user_name_prefix = (
lines[2][3:].split('<')[1].split('>')[1].split('-')[0].strip())
- # print(transformUserName)
- return transform_ID, transform_user_name, transform_user_name_prefix
+ return transform_id, transform_user_name, transform_user_name_prefix
def get_ODT_info(aces_CTL_directory):
"""
# TODO: Investigate usage of *files_walker* definition here.
- # Credit to Alex Fry for the original approach here
+ # Credit to *Alex Fry* for the original approach here.
odt_dir = os.path.join(aces_CTL_directory, 'odt')
all_odt = []
for dir_name, subdir_list, file_list in os.walk(odt_dir):
odt_CTLs = [x for x in all_odt if
('InvODT' not in x) and (os.path.split(x)[-1][0] != '.')]
- # print odtCTLs
-
odts = {}
for odt_CTL in odt_CTLs:
odt_tokens = os.path.split(odt_CTL)
- # print(odtTokens)
- # Handle nested directories
+ # Handling nested directories.
odt_path_tokens = os.path.split(odt_tokens[-2])
odt_dir = odt_path_tokens[-1]
while odt_path_tokens[-2][-3:] != 'odt':
odt_path_tokens = os.path.split(odt_path_tokens[-2])
odt_dir = os.path.join(odt_path_tokens[-1], odt_dir)
- # Build full name
- # print('odtDir : %s' % odtDir)
+ # Building full name,
transform_CTL = odt_tokens[-1]
- # print(transformCTL)
odt_name = string.join(transform_CTL.split('.')[1:-1], '.')
- # print(odtName)
- # Find id, user name and user name prefix
+ # Finding id, user name and user name prefix.
(transform_ID,
transform_user_name,
transform_user_name_prefix) = get_transform_info(
os.path.join(aces_CTL_directory, 'odt', odt_dir, transform_CTL))
- # Find inverse
+ # Finding inverse.
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
- # print(transformCTLInverse)
# Add to list of ODTs
odts[odt_name] = {}
odts[odt_name]['transformUserNamePrefix'] = transform_user_name_prefix
odts[odt_name]['transformUserName'] = transform_user_name
+ forward_CTL = odts[odt_name]['transformCTL']
+
print('ODT : %s' % odt_name)
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('\tForward ctl : %s' % (
- odts[odt_name]['transformCTL']))
+ print('\tForward ctl : %s' % forward_CTL)
if 'transformCTLInverse' in odts[odt_name]:
- print('\tInverse ctl : %s' % (
- odts[odt_name]['transformCTLInverse']))
+ inverse_CTL = odts[odt_name]['transformCTLInverse']
+ print('\tInverse ctl : %s' % inverse_CTL)
else:
print('\tInverse ctl : %s' % 'None')
('InvLMT' not in x) and ('README' not in x) and (
os.path.split(x)[-1][0] != '.')]
- # print lmtCTLs
-
lmts = {}
for lmt_CTL in lmt_CTLs:
lmt_tokens = os.path.split(lmt_CTL)
- # print(lmtTokens)
- # Handle nested directories
+ # Handlimg nested directories.
lmt_path_tokens = os.path.split(lmt_tokens[-2])
lmt_dir = lmt_path_tokens[-1]
while lmt_path_tokens[-2][-3:] != 'ctl':
lmt_path_tokens = os.path.split(lmt_path_tokens[-2])
lmt_dir = os.path.join(lmt_path_tokens[-1], lmt_dir)
- # Build full name
- # print('lmtDir : %s' % lmtDir)
+ # Building full name.
transform_CTL = lmt_tokens[-1]
- # print(transformCTL)
lmt_name = string.join(transform_CTL.split('.')[1:-1], '.')
- # print(lmtName)
- # Find id, user name and user name prefix
+ # Finding id, user name and user name prefix.
(transform_ID,
transform_user_name,
transform_user_name_prefix) = get_transform_info(
os.path.join(aces_CTL_directory, lmt_dir, transform_CTL))
- # Find inverse
+ # Finding inverse.
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
- # print(transformCTLInverse)
- # Add to list of LMTs
lmts[lmt_name] = {}
lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_CTL)
if transform_CTL_inverse != None:
- # TODO: Check unresolved *odt_name* referemce.
- lmts[odt_name]['transformCTLInverse'] = os.path.join(
+ lmts[lmt_name]['transformCTLInverse'] = os.path.join(
lmt_dir, transform_CTL_inverse)
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']
+
print('LMT : %s' % lmt_name)
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' % lmts[lmt_name]['transformCTL'])
+ print('\t Forward ctl : %s' % forward_CTL)
if 'transformCTLInverse' in lmts[lmt_name]:
- print('\t Inverse ctl : %s' % (
- lmts[lmt_name]['transformCTLInverse']))
+ inverse_CTL = lmts[lmt_name]['transformCTLInverse']
+ print('\t Inverse ctl : %s' % inverse_CTL)
else:
- print('\t Inverse ctl : %s' % 'None')
+ print('\t Inverse ctl : %s' % 'None')
print('\n')
Return value description.
"""
- # Get ODT names and CTL paths
odt_info = get_ODT_info(aces_CTL_directory)
-
- # Get ODT names and CTL paths
lmt_info = get_LMT_info(aces_CTL_directory)
- # Create config dir
create_config_dir(config_directory, bake_secondary_LUTs)
- # Generate config data and LUTs for different transforms
lut_directory = os.path.join(config_directory, 'luts')
shaper_name = 'Output Shaper'
config_data = generate_LUTs(odt_info,
lut_resolution_3d,
cleanup)
- # Create the config using the generated LUTs
- print('Creating generic config')
+ print('Creating "generic" config')
config = create_config(config_data)
print('\n\n\n')
- # Write the config to disk
write_config(config,
os.path.join(config_directory, 'config.ocio'))
- # Create a config that will work well with Nuke using the previously
- # generated LUTs.
- print('Creating Nuke-specific config')
+ print('Creating "Nuke" config')
nuke_config = create_config(config_data, nuke=True)
print('\n\n\n')
- # Write the config to disk
write_config(nuke_config,
os.path.join(config_directory, 'nuke_config.ocio'))
- # Bake secondary LUTs using the config
if bake_secondary_LUTs:
generate_baked_LUTs(odt_info,
shaper_name,
options, arguments = p.parse_args()
- #
- # Get options
- #
aces_CTL_directory = options.acesCTLDir
config_directory = options.configDir
lut_resolution_1d = int(options.lutResolution1d)
projects / OpenColorIO-Configs.git / blobdiff