2 # -*- coding: utf-8 -*-
5 Implements support for *ACES* colorspaces conversions and transfer functions.
8 from __future__ import division
17 import PyOpenColorIO as ocio
19 from aces_ocio.generate_lut import (
20 generate_1d_LUT_from_CTL,
21 generate_3d_LUT_from_CTL,
23 from aces_ocio.utilities import (
29 __author__ = 'ACES Developers'
30 __copyright__ = 'Copyright (C) 2014 - 2015 - ACES Developers'
32 __maintainer__ = 'ACES Developers'
33 __email__ = 'aces@oscars.org'
34 __status__ = 'Production'
36 __all__ = ['ACES_AP1_TO_AP0',
44 'create_ACES_RRT_plus_ODT',
53 # Matrix converting *ACES AP1* primaries to *ACES AP0*.
54 ACES_AP1_TO_AP0 = [0.6954522414, 0.1406786965, 0.1638690622,
55 0.0447945634, 0.8596711185, 0.0955343182,
56 -0.0055258826, 0.0040252103, 1.0015006723]
58 # Matrix converting *ACES AP0* primaries to *ACES AP1*.
59 ACES_AP0_TO_AP1 = [1.4514393161, -0.2365107469, -0.2149285693,
60 -0.0765537734, 1.1762296998, -0.0996759264,
61 0.0083161484, -0.0060324498, 0.9977163014]
63 # Matrix converting *ACES AP0* primaries to *XYZ*.
64 ACES_AP0_TO_XYZ = [0.9525523959, 0.0000000000, 0.0000936786,
65 0.3439664498, 0.7281660966, -0.0721325464,
66 0.0000000000, 0.0000000000, 1.0088251844]
68 # Matrix converting *ACES AP0* primaries to *XYZ*.
69 ACES_XYZ_TO_AP0 = [1.0498110175, 0.0000000000, -0.0000974845,
70 -0.4959030231, 1.3733130458, 0.0982400361,
71 0.0000000000, 0.0000000000, 0.9912520182]
81 Parameter description.
86 Return value description.
89 # Defining the reference colorspace.
90 aces2065_1 = ColorSpace('ACES2065-1')
91 aces2065_1.description = (
92 'The Academy Color Encoding System reference color space')
93 aces2065_1.equality_group = ''
94 aces2065_1.aliases = ['lin_ap0', 'aces']
95 aces2065_1.family = 'ACES'
96 aces2065_1.is_data = False
97 aces2065_1.allocation_type = ocio.Constants.ALLOCATION_LG2
98 aces2065_1.allocation_vars = [-8, 5, 0.00390625]
103 def create_ACEScc(aces_ctl_directory,
112 Creates the *ACEScc* colorspace.
117 Parameter description.
125 cs = ColorSpace(name)
126 cs.description = 'The %s color space' % name
127 cs.aliases = ['acescc', 'acescc_ap1']
128 cs.equality_group = ''
131 cs.allocation_type = ocio.Constants.ALLOCATION_UNIFORM
132 cs.allocation_vars = [min_value, max_value]
133 cs.aces_transform_id = 'ACEScsc.ACEScc_to_ACES.a1.0.0'
135 ctls = [os.path.join(aces_ctl_directory,
137 'ACEScsc.ACEScc_to_ACES.a1.0.0.ctl'),
138 # This transform gets back to the *AP1* primaries.
139 # Useful as the 1d LUT is only covering the transfer function.
140 # The primaries switch is covered by the matrix below:
141 os.path.join(aces_ctl_directory,
143 'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
144 lut = '%s_to_linear.spi1d' % name
148 generate_1d_LUT_from_CTL(
149 os.path.join(lut_directory, lut),
162 cs.to_reference_transforms = []
163 cs.to_reference_transforms.append({
166 'interpolation': 'linear',
167 'direction': 'forward'})
169 # *AP1* primaries to *AP0* primaries.
170 cs.to_reference_transforms.append({
172 'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
173 'direction': 'forward'})
175 cs.from_reference_transforms = []
179 def create_ACESproxy(aces_ctl_directory,
185 Creates the *ACESproxy* colorspace.
190 Parameter description.
195 *ACESproxy* colorspace.
198 cs = ColorSpace(name)
199 cs.description = 'The %s color space' % name
200 cs.aliases = ['acesproxy', 'acesproxy_ap1']
201 cs.equality_group = ''
205 cs.aces_transform_id = 'ACEScsc.ACESproxy10i_to_ACES.a1.0.0'
207 ctls = [os.path.join(aces_ctl_directory,
209 'ACEScsc.ACESproxy10i_to_ACES.a1.0.0.ctl'),
210 # This transform gets back to the *AP1* primaries.
211 # Useful as the 1d LUT is only covering the transfer function.
212 # The primaries switch is covered by the matrix below:
213 os.path.join(aces_ctl_directory,
215 'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
216 lut = '%s_to_linear.spi1d' % name
220 generate_1d_LUT_from_CTL(
221 os.path.join(lut_directory, lut),
234 cs.to_reference_transforms = []
235 cs.to_reference_transforms.append({
238 'interpolation': 'linear',
239 'direction': 'forward'})
241 # *AP1* primaries to *AP0* primaries.
242 cs.to_reference_transforms.append({
244 'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
245 'direction': 'forward'})
247 cs.from_reference_transforms = []
251 # -------------------------------------------------------------------------
253 # -------------------------------------------------------------------------
254 def create_ACEScg(aces_ctl_directory,
260 Creates the *ACEScg* colorspace.
265 Parameter description.
273 cs = ColorSpace(name)
274 cs.description = 'The %s color space' % name
275 cs.aliases = ['acescg', 'lin_ap1']
276 cs.equality_group = ''
279 cs.allocation_type = ocio.Constants.ALLOCATION_LG2
280 cs.allocation_vars = [-8, 5, 0.00390625]
282 cs.aces_transform_id = 'ACEScsc.ACEScg_to_ACES.a1.0.0'
284 cs.to_reference_transforms = []
286 # *AP1* primaries to *AP0* primaries.
287 cs.to_reference_transforms.append({
289 'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
290 'direction': 'forward'})
292 cs.from_reference_transforms = []
294 # *AP1* primaries to *AP0* primaries.
295 cs.from_reference_transforms.append({
297 'matrix': mat44_from_mat33(ACES_AP0_TO_AP1),
298 'direction': 'forward'})
303 # -------------------------------------------------------------------------
305 # -------------------------------------------------------------------------
306 def create_ADX(lut_directory,
311 Creates the *ADX* colorspace.
316 Parameter description.
324 name = '%s%s' % (name, bit_depth)
325 cs = ColorSpace(name)
326 cs.description = '%s color space - used for film scans' % name
327 cs.aliases = ['adx%s' % str(bit_depth)]
328 cs.equality_group = ''
333 cs.aces_transform_id = 'ACEScsc.ADX10_to_ACES.a1.0.0'
335 cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT10
336 ADX_to_CDD = [1023 / 500, 0, 0, 0,
340 offset = [-95 / 500, -95 / 500, -95 / 500, 0]
341 elif bit_depth == 16:
342 cs.aces_transform_id = 'ACEScsc.ADX16_to_ACES.a1.0.0'
344 cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT16
345 ADX_to_CDD = [65535 / 8000, 0, 0, 0,
346 0, 65535 / 8000, 0, 0,
347 0, 0, 65535 / 8000, 0,
349 offset = [-1520 / 8000, -1520 / 8000, -1520 / 8000, 0]
351 cs.to_reference_transforms = []
353 # Converting from *ADX* to *Channel-Dependent Density*.
354 cs.to_reference_transforms.append({
356 'matrix': ADX_to_CDD,
358 'direction': 'forward'})
360 # Convert from Channel-Dependent Density to Channel-Independent Density
361 cs.to_reference_transforms.append({
363 'matrix': [0.75573, 0.22197, 0.02230, 0,
364 0.05901, 0.96928, -0.02829, 0,
365 0.16134, 0.07406, 0.76460, 0,
367 'direction': 'forward'})
369 # Copied from *Alex Fry*'s *adx_cid_to_rle.py*
370 def create_CID_to_RLE_LUT():
372 def interpolate_1d(x, xp, fp):
373 return numpy.interp(x, xp, fp)
375 LUT_1D_XP = [-0.190000000000000,
387 LUT_1D_FP = [-6.000000000000000,
399 REF_PT = ((7120 - 1520) / 8000 * (100 / 55) -
404 return interpolate_1d(x, LUT_1D_XP, LUT_1D_FP)
405 return (100 / 55) * x - REF_PT
407 def fit(value, from_min, from_max, to_min, to_max):
408 if from_min == from_max:
409 raise ValueError('from_min == from_max')
410 return (value - from_min) / (from_max - from_min) * (
411 to_max - to_min) + to_min
413 num_samples = 2 ** 12
416 for i in xrange(num_samples):
417 x = i / (num_samples - 1)
418 x = fit(x, 0, 1, domain[0], domain[1])
419 data.append(cid_to_rle(x))
421 lut = 'ADX_CID_to_RLE.spi1d'
422 write_SPI_1d(os.path.join(lut_directory, lut),
430 # Converting *Channel Independent Density* values to
431 # *Relative Log Exposure* values.
432 lut = create_CID_to_RLE_LUT()
433 cs.to_reference_transforms.append({
436 'interpolation': 'linear',
437 'direction': 'forward'})
439 # Converting *Relative Log Exposure* values to
440 # *Relative Exposure* values.
441 cs.to_reference_transforms.append({
444 'direction': 'inverse'})
446 # Convert *Relative Exposure* values to *ACES* values.
447 cs.to_reference_transforms.append({
449 'matrix': [0.72286, 0.12630, 0.15084, 0,
450 0.11923, 0.76418, 0.11659, 0,
451 0.01427, 0.08213, 0.90359, 0,
453 'direction': 'forward'})
455 cs.from_reference_transforms = []
459 # -------------------------------------------------------------------------
460 # *Generic Log Transform*
461 # -------------------------------------------------------------------------
462 def create_generic_log(aces_ctl_directory,
475 Creates the *Generic Log* colorspace.
480 Parameter description.
485 *Generic Log* colorspace.
491 cs = ColorSpace(name)
492 cs.description = 'The %s color space' % name
494 cs.equality_group = name
495 cs.family = 'Utility'
498 ctls = [os.path.join(
501 'ACESlib.Log2_to_Lin_param.a1.0.0.ctl')]
502 lut = '%s_to_linear.spi1d' % name
506 generate_1d_LUT_from_CTL(
507 os.path.join(lut_directory, lut),
513 {'middleGrey': middle_grey,
514 'minExposure': min_exposure,
515 'maxExposure': max_exposure},
522 cs.to_reference_transforms = []
523 cs.to_reference_transforms.append({
526 'interpolation': 'linear',
527 'direction': 'forward'})
529 cs.from_reference_transforms = []
533 # -------------------------------------------------------------------------
534 # *base Dolby PQ Transform*
535 # -------------------------------------------------------------------------
536 def create_Dolby_PQ(aces_ctl_directory,
548 cs = ColorSpace(name)
549 cs.description = 'The %s color space' % name
551 cs.equality_group = name
552 cs.family = 'Utility'
555 ctls = [os.path.join(
558 'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl')]
559 lut = '%s_to_linear.spi1d' % name
563 generate_1d_LUT_from_CTL(
564 os.path.join(lut_directory, lut),
576 cs.to_reference_transforms = []
577 cs.to_reference_transforms.append({
580 'interpolation': 'linear',
581 'direction': 'forward'})
583 cs.from_reference_transforms = []
587 # -------------------------------------------------------------------------
588 # *Dolby PQ Transform that considers a fixed linear range*
589 # -------------------------------------------------------------------------
590 def create_Dolby_PQ_scaled(aces_ctl_directory,
605 cs = ColorSpace(name)
606 cs.description = 'The %s color space' % name
608 cs.equality_group = name
609 cs.family = 'Utility'
612 ctls = [os.path.join(
615 'ACESlib.DolbyPQ_to_lin_param.a1.0.0.ctl')]
616 lut = '%s_to_linear.spi1d' % name
620 generate_1d_LUT_from_CTL(
621 os.path.join(lut_directory, lut),
627 {'middleGrey': middle_grey,
628 'minExposure': min_exposure,
629 'maxExposure': max_exposure},
635 cs.to_reference_transforms = []
636 cs.to_reference_transforms.append({
639 'interpolation': 'linear',
640 'direction': 'forward'})
642 cs.from_reference_transforms = []
646 # -------------------------------------------------------------------------
648 # -------------------------------------------------------------------------
649 def create_ACES_LMT(lmt_name,
654 lut_resolution_1d=1024,
655 lut_resolution_3d=64,
659 Creates the *ACES LMT* colorspace.
664 Parameter description.
669 *ACES LMT* colorspace.
675 cs = ColorSpace('%s' % lmt_name)
676 cs.description = 'The ACES Look Transform: %s' % lmt_name
678 cs.equality_group = ''
681 cs.allocation_type = ocio.Constants.ALLOCATION_LG2
682 cs.allocation_vars = [-8, 5, 0.00390625]
683 cs.aces_transform_id = lmt_values['transformID']
685 pprint.pprint(lmt_values)
687 # Generating the *shaper* transform.
690 shaper_from_aces_ctl,
692 shaper_params) = shaper_info
694 # Add the shaper transform
695 shaper_lut = '%s_to_linear.spi1d' % shaper_name
696 shaper_lut = sanitize(shaper_lut)
698 shaper_ocio_transform = {
701 'interpolation': 'linear',
702 'direction': 'inverse'}
704 # Generating the forward transform.
705 cs.from_reference_transforms = []
707 if 'transformCTL' in lmt_values:
708 ctls = [shaper_to_aces_ctl % aces_ctl_directory,
709 os.path.join(aces_ctl_directory,
710 lmt_values['transformCTL'])]
711 lut = '%s.%s.spi3d' % (shaper_name, lmt_name)
715 generate_3d_LUT_from_CTL(
716 os.path.join(lut_directory, lut),
720 1 / shaper_input_scale,
726 cs.from_reference_transforms.append(shaper_ocio_transform)
727 cs.from_reference_transforms.append({
730 'interpolation': 'tetrahedral',
731 'direction': 'forward'})
733 # Generating the inverse transform.
734 cs.to_reference_transforms = []
736 if 'transformCTLInverse' in lmt_values:
737 ctls = [os.path.join(aces_ctl_directory,
738 lmt_values['transformCTLInverse']),
739 shaper_from_aces_ctl % aces_ctl_directory]
740 lut = 'Inverse.%s.%s.spi3d' % (odt_name, shaper_name)
744 generate_3d_LUT_from_CTL(
745 os.path.join(lut_directory, lut),
756 cs.to_reference_transforms.append({
759 'interpolation': 'tetrahedral',
760 'direction': 'forward'})
762 shaper_inverse = shaper_ocio_transform.copy()
763 shaper_inverse['direction'] = 'forward'
764 cs.to_reference_transforms.append(shaper_inverse)
769 # -------------------------------------------------------------------------
771 # -------------------------------------------------------------------------
772 def create_LMTs(aces_ctl_directory,
785 Parameter description.
790 Return value description.
795 # -------------------------------------------------------------------------
797 # -------------------------------------------------------------------------
798 lmt_lut_resolution_1d = max(4096, lut_resolution_1d)
799 lmt_lut_resolution_3d = max(65, lut_resolution_3d)
801 # Defining the *Log 2* shaper.
802 lmt_shaper_name = 'LMT Shaper'
803 lmt_shaper_name_aliases = ['crv_lmtshaper']
809 lmt_shaper = create_generic_log(aces_ctl_directory,
811 lmt_lut_resolution_1d,
813 name=lmt_shaper_name,
814 middle_grey=lmt_params['middleGrey'],
815 min_exposure=lmt_params['minExposure'],
816 max_exposure=lmt_params['maxExposure'],
817 aliases=lmt_shaper_name_aliases)
818 colorspaces.append(lmt_shaper)
820 shaper_input_scale_generic_log2 = 1
822 # *Log 2* shaper name and *CTL* transforms bundled up.
827 'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
830 'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
831 shaper_input_scale_generic_log2,
834 sorted_lmts = sorted(lmt_info.iteritems(), key=lambda x: x[1])
836 for lmt in sorted_lmts:
837 lmt_name, lmt_values = lmt
838 lmt_aliases = ['look_%s' % compact(lmt_values['transformUserName'])]
839 cs = create_ACES_LMT(
840 lmt_values['transformUserName'],
845 lmt_lut_resolution_1d,
846 lmt_lut_resolution_3d,
849 colorspaces.append(cs)
854 # -------------------------------------------------------------------------
855 # *ACES RRT* with supplied *ODT*.
856 # -------------------------------------------------------------------------
857 def create_ACES_RRT_plus_ODT(odt_name,
862 lut_resolution_1d=1024,
863 lut_resolution_3d=64,
872 Parameter description.
877 Return value description.
883 cs = ColorSpace('%s' % odt_name)
884 cs.description = '%s - %s Output Transform' % (
885 odt_values['transformUserNamePrefix'], odt_name)
887 cs.equality_group = ''
891 cs.aces_transform_id = odt_values['transformID']
893 pprint.pprint(odt_values)
895 # Generating the *shaper* transform.
898 shaper_from_aces_ctl,
900 shaper_params) = shaper_info
902 if 'legalRange' in odt_values:
903 shaper_params['legalRange'] = odt_values['legalRange']
905 shaper_params['legalRange'] = 0
907 # Add the shaper transform
908 shaper_lut = '%s_to_linear.spi1d' % shaper_name
909 shaper_lut = sanitize(shaper_lut)
911 shaper_ocio_transform = {
914 'interpolation': 'linear',
915 'direction': 'inverse'}
917 # Generating the *forward* transform.
918 cs.from_reference_transforms = []
920 if 'transformLUT' in odt_values:
921 transform_lut_file_name = os.path.basename(
922 odt_values['transformLUT'])
923 lut = os.path.join(lut_directory, transform_lut_file_name)
924 shutil.copy(odt_values['transformLUT'], lut)
926 cs.from_reference_transforms.append(shaper_ocio_transform)
927 cs.from_reference_transforms.append({
929 'path': transform_lut_file_name,
930 'interpolation': 'tetrahedral',
931 'direction': 'forward'})
932 elif 'transformCTL' in odt_values:
934 shaper_to_aces_ctl % aces_ctl_directory,
935 os.path.join(aces_ctl_directory,
938 os.path.join(aces_ctl_directory,
940 odt_values['transformCTL'])]
941 lut = '%s.RRT.a1.0.0.%s.spi3d' % (shaper_name, odt_name)
945 generate_3d_LUT_from_CTL(
946 os.path.join(lut_directory, lut),
951 1 / shaper_input_scale,
957 cs.from_reference_transforms.append(shaper_ocio_transform)
958 cs.from_reference_transforms.append({
961 'interpolation': 'tetrahedral',
962 'direction': 'forward'})
964 # Generating the *inverse* transform.
965 cs.to_reference_transforms = []
967 if 'transformLUTInverse' in odt_values:
968 transform_lut_inverse_file_name = os.path.basename(
969 odt_values['transformLUTInverse'])
970 lut = os.path.join(lut_directory, transform_lut_inverse_file_name)
971 shutil.copy(odt_values['transformLUTInverse'], lut)
973 cs.to_reference_transforms.append({
975 'path': transform_lut_inverse_file_name,
976 'interpolation': 'tetrahedral',
977 'direction': 'forward'})
979 shaper_inverse = shaper_ocio_transform.copy()
980 shaper_inverse['direction'] = 'forward'
981 cs.to_reference_transforms.append(shaper_inverse)
982 elif 'transformCTLInverse' in odt_values:
983 ctls = [os.path.join(aces_ctl_directory,
985 odt_values['transformCTLInverse']),
986 os.path.join(aces_ctl_directory,
988 'InvRRT.a1.0.0.ctl'),
989 shaper_from_aces_ctl % aces_ctl_directory]
990 lut = 'InvRRT.a1.0.0.%s.%s.spi3d' % (odt_name, shaper_name)
994 generate_3d_LUT_from_CTL(
995 os.path.join(lut_directory, lut),
1006 cs.to_reference_transforms.append({
1009 'interpolation': 'tetrahedral',
1010 'direction': 'forward'})
1012 shaper_inverse = shaper_ocio_transform.copy()
1013 shaper_inverse['direction'] = 'forward'
1014 cs.to_reference_transforms.append(shaper_inverse)
1019 # -------------------------------------------------------------------------
1021 # -------------------------------------------------------------------------
1022 def create_ODTs(aces_ctl_directory,
1029 linear_display_space,
1037 Parameter description.
1042 Return value description.
1048 # -------------------------------------------------------------------------
1049 # *RRT / ODT* Shaper Options
1050 # -------------------------------------------------------------------------
1053 # Defining the *Log 2* shaper.
1054 log2_shaper_name = shaper_name
1055 log2_shaper_name_aliases = ['crv_%s' % compact(log2_shaper_name)]
1061 log2_shaper_colorspace = create_generic_log(
1066 name=log2_shaper_name,
1067 middle_grey=log2_params['middleGrey'],
1068 min_exposure=log2_params['minExposure'],
1069 max_exposure=log2_params['maxExposure'],
1070 aliases=log2_shaper_name_aliases)
1071 colorspaces.append(log2_shaper_colorspace)
1073 shaper_input_scale_generic_log2 = 1
1075 # *Log 2* shaper name and *CTL* transforms bundled up.
1076 log2_shaper_data = [
1080 'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
1083 'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
1084 shaper_input_scale_generic_log2,
1087 shaper_data[log2_shaper_name] = log2_shaper_data
1089 # Space with a more user-friendly name. Direct copy otherwise.
1090 log2_shaper_copy_name = 'Log2 Shaper'
1091 log2_shaper_copy_colorspace = ColorSpace(log2_shaper_copy_name)
1092 log2_shaper_copy_colorspace.description = (
1093 'The %s color space' % log2_shaper_copy_name)
1094 log2_shaper_copy_colorspace.aliases = [
1095 'crv_%s' % compact(log2_shaper_copy_name)]
1096 log2_shaper_copy_colorspace.equality_group = log2_shaper_copy_name
1097 log2_shaper_copy_colorspace.family = log2_shaper_colorspace.family
1098 log2_shaper_copy_colorspace.is_data = log2_shaper_colorspace.is_data
1099 log2_shaper_copy_colorspace.to_reference_transforms = list(
1100 log2_shaper_colorspace.to_reference_transforms)
1101 log2_shaper_copy_colorspace.from_reference_transforms = list(
1102 log2_shaper_colorspace.from_reference_transforms)
1103 colorspaces.append(log2_shaper_copy_colorspace)
1105 # Defining the *Log2 shaper that includes the AP1* primaries.
1106 log2_shaper_api1_name = '%s - AP1' % 'Log2 Shaper'
1107 log2_shaper_api1_colorspace = ColorSpace(log2_shaper_api1_name)
1108 log2_shaper_api1_colorspace.description = (
1109 'The %s color space' % log2_shaper_api1_name)
1110 log2_shaper_api1_colorspace.aliases = [
1111 '%s_ap1' % compact(log2_shaper_copy_name)]
1112 log2_shaper_api1_colorspace.equality_group = log2_shaper_api1_name
1113 log2_shaper_api1_colorspace.family = log2_shaper_colorspace.family
1114 log2_shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1115 log2_shaper_api1_colorspace.to_reference_transforms = list(
1116 log2_shaper_colorspace.to_reference_transforms)
1117 log2_shaper_api1_colorspace.from_reference_transforms = list(
1118 log2_shaper_colorspace.from_reference_transforms)
1120 # *AP1* primaries to *AP0* primaries.
1121 log2_shaper_api1_colorspace.to_reference_transforms.append({
1123 'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
1124 'direction': 'forward'
1126 colorspaces.append(log2_shaper_api1_colorspace)
1128 # Defining the *Log2 shaper that includes the AP1* primaries.
1129 # Named with 'shaper_name' variable. Needed for some LUT baking steps.
1130 shaper_api1_name = '%s - AP1' % shaper_name
1131 shaper_api1_colorspace = ColorSpace(shaper_api1_name)
1132 shaper_api1_colorspace.description = (
1133 'The %s color space' % shaper_api1_name)
1134 shaper_api1_colorspace.aliases = ['%s_ap1' % compact(shaper_name)]
1135 shaper_api1_colorspace.equality_group = shaper_api1_name
1136 shaper_api1_colorspace.family = log2_shaper_colorspace.family
1137 shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1138 shaper_api1_colorspace.to_reference_transforms = list(
1139 log2_shaper_api1_colorspace.to_reference_transforms)
1140 shaper_api1_colorspace.from_reference_transforms = list(
1141 log2_shaper_api1_colorspace.from_reference_transforms)
1142 colorspaces.append(shaper_api1_colorspace)
1144 # Define the base *Dolby PQ Shaper*
1146 dolbypq_shaper_name = 'Dolby PQ 10000'
1147 dolbypq_shaper_name_aliases = ['crv_%s' % 'dolbypq_10000']
1149 dolbypq_shaper_colorspace = create_Dolby_PQ(
1154 name=dolbypq_shaper_name,
1155 aliases=dolbypq_shaper_name_aliases)
1156 colorspaces.append(dolbypq_shaper_colorspace)
1158 # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1159 dolbypq_shaper_data = [
1160 dolbypq_shaper_name,
1163 'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl'),
1166 'ACESlib.Lin_to_DolbyPQ.a1.0.0.ctl'),
1170 shaper_data[dolbypq_shaper_name] = dolbypq_shaper_data
1172 # Define the *Dolby PQ Shaper that considers a fixed linear range*
1174 dolbypq_scaled_shaper_name = 'Dolby PQ Scaled'
1175 dolbypq_scaled_shaper_name_aliases = ['crv_%s' % 'dolbypq_scaled']
1177 dolbypq_scaled_shaper_colorspace = create_Dolby_PQ_scaled(
1182 name=dolbypq_scaled_shaper_name,
1183 aliases=dolbypq_scaled_shaper_name_aliases)
1184 colorspaces.append(dolbypq_scaled_shaper_colorspace)
1186 # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1187 dolbypq_scaled_shaper_data = [
1188 dolbypq_scaled_shaper_name,
1191 'ACESlib.DolbyPQ_to_Lin_param.a1.0.0.ctl'),
1194 'ACESlib.Lin_to_DolbyPQ_param.a1.0.0.ctl'),
1198 shaper_data[dolbypq_scaled_shaper_name] = dolbypq_scaled_shaper_data
1201 # Pick a specific shaper
1203 rrt_shaper = log2_shaper_data
1204 # rrt_shaper = dolbypq_scaled_shaper_data
1206 # *RRT + ODT* combinations.
1207 sorted_odts = sorted(odt_info.iteritems(), key=lambda x: x[1])
1209 for odt in sorted_odts:
1210 (odt_name, odt_values) = odt
1212 # Generating only full range transform for *ODTs* that can generate
1213 # either *legal* or *full* output.
1215 # Uncomment these lines and the lower section and
1216 # flip the 'legalRange' value to 1 to recover the old behavior,
1217 # where both legal and full range LUTs were generated.
1218 if odt_values['transformHasFullLegalSwitch']:
1219 # odt_name_legal = '%s - Legal' % odt_values['transformUserName']
1220 odt_legal['legalRange'] = 0
1222 # odt_name_legal = odt_values['transformUserName']
1224 odt_name_legal = odt_values['transformUserName']
1226 odt_legal = odt_values.copy()
1228 odt_aliases = ['out_%s' % compact(odt_name_legal)]
1230 cs = create_ACES_RRT_plus_ODT(
1240 colorspaces.append(cs)
1242 displays[odt_name_legal] = {
1243 'Raw': linear_display_space,
1244 'Log': log_display_space,
1245 'Output Transform': cs}
1248 # Generating full range transform for *ODTs* that can generate
1249 # either *legal* or *full* output.
1250 if odt_values['transformHasFullLegalSwitch']:
1251 print('Generating full range ODT for %s' % odt_name)
1253 odt_name_full = '%s - Full' % odt_values['transformUserName']
1254 odt_full = odt_values.copy()
1255 odt_full['legalRange'] = 0
1257 odt_full_aliases = ['out_%s' % compact(odt_name_full)]
1259 cs_full = create_ACES_RRT_plus_ODT(
1269 colorspaces.append(cs_full)
1271 displays[odt_name_full] = {
1272 'Raw': linear_display_space,
1273 'Log': log_display_space,
1274 'Output Transform': cs_full}
1277 return (colorspaces, displays)
1280 def get_transform_info(ctl_transform):
1287 Parameter description.
1292 Return value description.
1295 with open(ctl_transform, 'rb') as fp:
1296 lines = fp.readlines()
1298 # Retrieving the *transform ID* and *User Name*.
1299 transform_id = lines[1][3:].split('<')[1].split('>')[1].strip()
1300 transform_user_name = '-'.join(
1301 lines[2][3:].split('<')[1].split('>')[1].split('-')[1:]).strip()
1302 transform_user_name_prefix = (
1303 lines[2][3:].split('<')[1].split('>')[1].split('-')[0].strip())
1305 # Figuring out if this transform has options
1306 # for processing full and legal range.
1307 transform_full_legal_switch = False
1309 if line.strip() == 'input varying int legalRange = 0':
1310 # print( '%s has legal range flag' % transform_user_name)
1311 transform_full_legal_switch = True
1314 return (transform_id, transform_user_name, transform_user_name_prefix,
1315 transform_full_legal_switch)
1318 def get_ODTs_info(aces_ctl_directory):
1322 For versions after WGR9.
1327 Parameter description.
1332 Return value description.
1335 # TODO: Investigate usage of *files_walker* definition here.
1336 # Credit to *Alex Fry* for the original approach here.
1337 odt_dir = os.path.join(aces_ctl_directory, 'odt')
1339 for dir_name, subdir_list, file_list in os.walk(odt_dir):
1340 for fname in file_list:
1341 all_odt.append((os.path.join(dir_name, fname)))
1343 odt_ctls = [x for x in all_odt if
1344 ('InvODT' not in x) and (os.path.split(x)[-1][0] != '.')]
1348 for odt_ctl in odt_ctls:
1349 odt_tokens = os.path.split(odt_ctl)
1351 # Handling nested directories.
1352 odt_path_tokens = os.path.split(odt_tokens[-2])
1353 odt_dir = odt_path_tokens[-1]
1354 while odt_path_tokens[-2][-3:] != 'odt':
1355 odt_path_tokens = os.path.split(odt_path_tokens[-2])
1356 odt_dir = os.path.join(odt_path_tokens[-1], odt_dir)
1358 # Building full name,
1359 transform_ctl = odt_tokens[-1]
1360 odt_name = string.join(transform_ctl.split('.')[1:-1], '.')
1362 # Finding id, user name and user name prefix.
1364 transform_user_name,
1365 transform_user_name_prefix,
1366 transform_full_legal_switch) = get_transform_info(
1367 os.path.join(aces_ctl_directory, 'odt', odt_dir, transform_ctl))
1370 transform_ctl_inverse = 'InvODT.%s.ctl' % odt_name
1371 if not os.path.exists(
1372 os.path.join(odt_tokens[-2], transform_ctl_inverse)):
1373 transform_ctl_inverse = None
1375 # Add to list of ODTs
1377 odts[odt_name]['transformCTL'] = os.path.join(odt_dir, transform_ctl)
1378 if transform_ctl_inverse is not None:
1379 odts[odt_name]['transformCTLInverse'] = os.path.join(
1380 odt_dir, transform_ctl_inverse)
1382 odts[odt_name]['transformID'] = transform_id
1383 odts[odt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1384 odts[odt_name]['transformUserName'] = transform_user_name
1386 'transformHasFullLegalSwitch'] = transform_full_legal_switch
1388 forward_ctl = odts[odt_name]['transformCTL']
1390 print('ODT : %s' % odt_name)
1391 print('\tTransform ID : %s' % transform_id)
1392 print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1393 print('\tTransform User Name : %s' % transform_user_name)
1395 '\tHas Full / Legal Switch : %s' % transform_full_legal_switch)
1396 print('\tForward ctl : %s' % forward_ctl)
1397 if 'transformCTLInverse' in odts[odt_name]:
1398 inverse_ctl = odts[odt_name]['transformCTLInverse']
1399 print('\tInverse ctl : %s' % inverse_ctl)
1401 print('\tInverse ctl : %s' % 'None')
1408 def get_LMTs_info(aces_ctl_directory):
1412 For versions after WGR9.
1417 Parameter description.
1422 Return value description.
1425 # TODO: Investigate refactoring with previous definition.
1427 # Credit to Alex Fry for the original approach here
1428 lmt_dir = os.path.join(aces_ctl_directory, 'lmt')
1430 for dir_name, subdir_list, file_list in os.walk(lmt_dir):
1431 for fname in file_list:
1432 all_lmt.append((os.path.join(dir_name, fname)))
1434 lmt_ctls = [x for x in all_lmt if
1435 ('InvLMT' not in x) and ('README' not in x) and (
1436 os.path.split(x)[-1][0] != '.')]
1440 for lmt_ctl in lmt_ctls:
1441 lmt_tokens = os.path.split(lmt_ctl)
1443 # Handlimg nested directories.
1444 lmt_path_tokens = os.path.split(lmt_tokens[-2])
1445 lmt_dir = lmt_path_tokens[-1]
1446 while lmt_path_tokens[-2][-3:] != 'ctl':
1447 lmt_path_tokens = os.path.split(lmt_path_tokens[-2])
1448 lmt_dir = os.path.join(lmt_path_tokens[-1], lmt_dir)
1450 # Building full name.
1451 transform_CTL = lmt_tokens[-1]
1452 lmt_name = string.join(transform_CTL.split('.')[1:-1], '.')
1454 # Finding id, user name and user name prefix.
1456 transform_user_name,
1457 transform_user_name_prefix,
1458 transform_full_legal_switch) = get_transform_info(
1459 os.path.join(aces_ctl_directory, lmt_dir, transform_CTL))
1462 transform_ctl_inverse = 'InvLMT.%s.ctl' % lmt_name
1463 if not os.path.exists(
1464 os.path.join(lmt_tokens[-2], transform_ctl_inverse)):
1465 transform_ctl_inverse = None
1468 lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_CTL)
1469 if transform_ctl_inverse is not None:
1470 lmts[lmt_name]['transformCTLInverse'] = os.path.join(
1471 lmt_dir, transform_ctl_inverse)
1473 lmts[lmt_name]['transformID'] = transform_id
1474 lmts[lmt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1475 lmts[lmt_name]['transformUserName'] = transform_user_name
1477 forward_ctl = lmts[lmt_name]['transformCTL']
1479 print('LMT : %s' % lmt_name)
1480 print('\tTransform ID : %s' % transform_id)
1481 print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1482 print('\tTransform User Name : %s' % transform_user_name)
1483 print('\t Forward ctl : %s' % forward_ctl)
1484 if 'transformCTLInverse' in lmts[lmt_name]:
1485 inverse_ctl = lmts[lmt_name]['transformCTLInverse']
1486 print('\t Inverse ctl : %s' % inverse_ctl)
1488 print('\t Inverse ctl : %s' % 'None')
1495 def create_colorspaces(aces_ctl_directory,
1504 Generates the colorspace conversions.
1509 Parameter description.
1514 Return value description.
1519 ACES = create_ACES()
1521 ACEScc = create_ACEScc(aces_ctl_directory, lut_directory,
1522 lut_resolution_1d, cleanup,
1523 min_value=-0.35840, max_value=1.468)
1524 colorspaces.append(ACEScc)
1526 ACESproxy = create_ACESproxy(aces_ctl_directory, lut_directory,
1527 lut_resolution_1d, cleanup)
1528 colorspaces.append(ACESproxy)
1530 ACEScg = create_ACEScg(aces_ctl_directory, lut_directory,
1531 lut_resolution_1d, cleanup)
1532 colorspaces.append(ACEScg)
1534 ADX10 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=10)
1535 colorspaces.append(ADX10)
1537 ADX16 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=16)
1538 colorspaces.append(ADX16)
1540 lmts = create_LMTs(aces_ctl_directory,
1547 colorspaces.extend(lmts)
1549 odts, displays = create_ODTs(aces_ctl_directory,
1558 colorspaces.extend(odts)
1560 # Wish there was an automatic way to get this from the CTL
1561 default_display = 'sRGB (D60 sim.)'
1563 roles = {'color_picking': ACEScg.name,
1564 'color_timing': ACEScc.name,
1565 'compositing_log': ACEScc.name,
1567 'default': ACES.name,
1568 'matte_paint': ACEScc.name,
1570 'scene_linear': ACEScg.name,
1571 'texture_paint': ''}
1573 return ACES, colorspaces, displays, ACEScc, roles, default_display