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_dolbypq(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_dolbypq_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),
758 cs.to_reference_transforms.append({
761 'interpolation': 'tetrahedral',
762 'direction': 'forward'})
764 shaper_inverse = shaper_OCIO_transform.copy()
765 shaper_inverse['direction'] = 'forward'
766 cs.to_reference_transforms.append(shaper_inverse)
771 # -------------------------------------------------------------------------
773 # -------------------------------------------------------------------------
774 def create_LMTs(aces_ctl_directory,
787 Parameter description.
792 Return value description.
797 # -------------------------------------------------------------------------
799 # -------------------------------------------------------------------------
800 lmt_lut_resolution_1d = max(4096, lut_resolution_1d)
801 lmt_lut_resolution_3d = max(65, lut_resolution_3d)
803 # Defining the *Log 2* shaper.
804 lmt_shaper_name = 'LMT Shaper'
805 lmt_shaper_name_aliases = ['crv_lmtshaper']
811 lmt_shaper = create_generic_log(aces_ctl_directory,
813 lmt_lut_resolution_1d,
815 name=lmt_shaper_name,
816 middle_grey=lmt_params['middleGrey'],
817 min_exposure=lmt_params['minExposure'],
818 max_exposure=lmt_params['maxExposure'],
819 aliases=lmt_shaper_name_aliases)
820 colorspaces.append(lmt_shaper)
822 shaper_input_scale_generic_log2 = 1
824 # *Log 2* shaper name and *CTL* transforms bundled up.
829 'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
832 'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
833 shaper_input_scale_generic_log2,
836 sorted_LMTs = sorted(lmt_info.iteritems(), key=lambda x: x[1])
838 for lmt in sorted_LMTs:
839 lmt_name, lmt_values = lmt
840 lmt_aliases = ['look_%s' % compact(lmt_values['transformUserName'])]
841 cs = create_ACES_LMT(
842 lmt_values['transformUserName'],
847 lmt_lut_resolution_1d,
848 lmt_lut_resolution_3d,
851 colorspaces.append(cs)
856 # -------------------------------------------------------------------------
857 # *ACES RRT* with supplied *ODT*.
858 # -------------------------------------------------------------------------
859 def create_ACES_RRT_plus_ODT(odt_name,
864 lut_resolution_1d=1024,
865 lut_resolution_3d=64,
874 Parameter description.
879 Return value description.
885 cs = ColorSpace('%s' % odt_name)
886 cs.description = '%s - %s Output Transform' % (
887 odt_values['transformUserNamePrefix'], odt_name)
889 cs.equality_group = ''
893 cs.aces_transform_id = odt_values['transformID']
895 pprint.pprint(odt_values)
897 # Generating the *shaper* transform.
900 shaper_from_ACES_CTL,
902 shaper_params) = shaper_info
904 if 'legalRange' in odt_values:
905 shaper_params['legalRange'] = odt_values['legalRange']
907 shaper_params['legalRange'] = 0
909 # Add the shaper transform
910 shaper_lut = '%s_to_linear.spi1d' % shaper_name
911 shaper_lut = sanitize(shaper_lut)
913 shaper_OCIO_transform = {
916 'interpolation': 'linear',
917 'direction': 'inverse'}
919 # Generating the *forward* transform.
920 cs.from_reference_transforms = []
922 if 'transformLUT' in odt_values:
923 transform_LUT_file_name = os.path.basename(
924 odt_values['transformLUT'])
925 lut = os.path.join(lut_directory, transform_LUT_file_name)
926 shutil.copy(odt_values['transformLUT'], lut)
928 cs.from_reference_transforms.append(shaper_OCIO_transform)
929 cs.from_reference_transforms.append({
931 'path': transform_LUT_file_name,
932 'interpolation': 'tetrahedral',
933 'direction': 'forward'})
934 elif 'transformCTL' in odt_values:
936 shaper_to_ACES_CTL % aces_ctl_directory,
937 os.path.join(aces_ctl_directory,
940 os.path.join(aces_ctl_directory,
942 odt_values['transformCTL'])]
943 lut = '%s.RRT.a1.0.0.%s.spi3d' % (shaper_name, odt_name)
947 generate_3d_LUT_from_CTL(
948 os.path.join(lut_directory, lut),
953 1 / shaper_input_scale,
959 cs.from_reference_transforms.append(shaper_OCIO_transform)
960 cs.from_reference_transforms.append({
963 'interpolation': 'tetrahedral',
964 'direction': 'forward'})
966 # Generating the *inverse* transform.
967 cs.to_reference_transforms = []
969 if 'transformLUTInverse' in odt_values:
970 transform_LUT_inverse_file_name = os.path.basename(
971 odt_values['transformLUTInverse'])
972 lut = os.path.join(lut_directory, transform_LUT_inverse_file_name)
973 shutil.copy(odt_values['transformLUTInverse'], lut)
975 cs.to_reference_transforms.append({
977 'path': transform_LUT_inverse_file_name,
978 'interpolation': 'tetrahedral',
979 'direction': 'forward'})
981 shaper_inverse = shaper_OCIO_transform.copy()
982 shaper_inverse['direction'] = 'forward'
983 cs.to_reference_transforms.append(shaper_inverse)
984 elif 'transformCTLInverse' in odt_values:
985 ctls = [os.path.join(aces_ctl_directory,
987 odt_values['transformCTLInverse']),
988 os.path.join(aces_ctl_directory,
990 'InvRRT.a1.0.0.ctl'),
991 shaper_from_ACES_CTL % aces_ctl_directory]
992 lut = 'InvRRT.a1.0.0.%s.%s.spi3d' % (odt_name, shaper_name)
996 generate_3d_LUT_from_CTL(
997 os.path.join(lut_directory, lut),
1008 cs.to_reference_transforms.append({
1011 'interpolation': 'tetrahedral',
1012 'direction': 'forward'})
1014 shaper_inverse = shaper_OCIO_transform.copy()
1015 shaper_inverse['direction'] = 'forward'
1016 cs.to_reference_transforms.append(shaper_inverse)
1021 # -------------------------------------------------------------------------
1023 # -------------------------------------------------------------------------
1024 def create_ODTs(aces_ctl_directory,
1031 linear_display_space,
1039 Parameter description.
1044 Return value description.
1050 # -------------------------------------------------------------------------
1051 # *RRT / ODT* Shaper Options
1052 # -------------------------------------------------------------------------
1055 # Defining the *Log 2* shaper.
1056 log2_shaper_name = shaper_name
1057 log2_shaper_name_aliases = ['crv_%s' % compact(log2_shaper_name)]
1063 log2_shaper_colorspace = create_generic_log(
1068 name=log2_shaper_name,
1069 middle_grey=log2_params['middleGrey'],
1070 min_exposure=log2_params['minExposure'],
1071 max_exposure=log2_params['maxExposure'],
1072 aliases=log2_shaper_name_aliases)
1073 colorspaces.append(log2_shaper_colorspace)
1075 shaper_input_scale_generic_log2 = 1
1077 # *Log 2* shaper name and *CTL* transforms bundled up.
1078 log2_shaper_data = [
1082 'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
1085 'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
1086 shaper_input_scale_generic_log2,
1089 shaper_data[log2_shaper_name] = log2_shaper_data
1091 # Space with a more user-friendly name. Direct copy otherwise.
1092 log2_shaper_copy_name = 'Log2 Shaper'
1093 log2_shaper_copy_colorspace = ColorSpace(log2_shaper_copy_name)
1094 log2_shaper_copy_colorspace.description = 'The %s color space' % log2_shaper_copy_name
1095 log2_shaper_copy_colorspace.aliases = [
1096 'crv_%s' % compact(log2_shaper_copy_name)]
1097 log2_shaper_copy_colorspace.equality_group = log2_shaper_copy_name
1098 log2_shaper_copy_colorspace.family = log2_shaper_colorspace.family
1099 log2_shaper_copy_colorspace.is_data = log2_shaper_colorspace.is_data
1100 log2_shaper_copy_colorspace.to_reference_transforms = list(
1101 log2_shaper_colorspace.to_reference_transforms)
1102 log2_shaper_copy_colorspace.from_reference_transforms = list(
1103 log2_shaper_colorspace.from_reference_transforms)
1104 colorspaces.append(log2_shaper_copy_colorspace)
1106 # Defining the *Log2 shaper that includes the AP1* primaries.
1107 log2_shaper_api1_name = '%s - AP1' % 'Log2 Shaper'
1108 log2_shaper_api1_colorspace = ColorSpace(log2_shaper_api1_name)
1109 log2_shaper_api1_colorspace.description = '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 = 'The %s color space' % shaper_api1_name
1133 shaper_api1_colorspace.aliases = ['%s_ap1' % compact(shaper_name)]
1134 shaper_api1_colorspace.equality_group = shaper_api1_name
1135 shaper_api1_colorspace.family = log2_shaper_colorspace.family
1136 shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1137 shaper_api1_colorspace.to_reference_transforms = list(
1138 log2_shaper_api1_colorspace.to_reference_transforms)
1139 shaper_api1_colorspace.from_reference_transforms = list(
1140 log2_shaper_api1_colorspace.from_reference_transforms)
1141 colorspaces.append(shaper_api1_colorspace)
1143 # Define the base *Dolby PQ Shaper*
1145 dolbypq_shaper_name = 'Dolby PQ 10000'
1146 dolbypq_shaper_name_aliases = ['crv_%s' % 'dolbypq_10000']
1148 dolbypq_shaper_colorspace = create_dolbypq(
1153 name=dolbypq_shaper_name,
1154 aliases=dolbypq_shaper_name_aliases)
1155 colorspaces.append(dolbypq_shaper_colorspace)
1157 # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1158 dolbypq_shaper_data = [
1159 dolbypq_shaper_name,
1162 'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl'),
1165 'ACESlib.Lin_to_DolbyPQ.a1.0.0.ctl'),
1169 shaper_data[dolbypq_shaper_name] = dolbypq_shaper_data
1171 # Define the *Dolby PQ Shaper that considers a fixed linear range*
1173 dolbypq_scaled_shaper_name = 'Dolby PQ Scaled'
1174 dolbypq_scaled_shaper_name_aliases = ['crv_%s' % 'dolbypq_scaled']
1176 dolbypq_scaled_shaper_colorspace = create_dolbypq_scaled(
1181 name=dolbypq_scaled_shaper_name,
1182 aliases=dolbypq_scaled_shaper_name_aliases)
1183 colorspaces.append(dolbypq_scaled_shaper_colorspace)
1185 # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1186 dolbypq_scaled_shaper_data = [
1187 dolbypq_scaled_shaper_name,
1190 'ACESlib.DolbyPQ_to_Lin_param.a1.0.0.ctl'),
1193 'ACESlib.Lin_to_DolbyPQ_param.a1.0.0.ctl'),
1197 shaper_data[dolbypq_scaled_shaper_name] = dolbypq_scaled_shaper_data
1200 # Pick a specific shaper
1202 rrt_shaper = log2_shaper_data
1203 # rrt_shaper = dolbypq_scaled_shaper_data
1205 # *RRT + ODT* combinations.
1206 sorted_odts = sorted(odt_info.iteritems(), key=lambda x: x[1])
1208 for odt in sorted_odts:
1209 (odt_name, odt_values) = odt
1211 # Generating only full range transform for *ODTs* that can generate
1212 # either *legal* or *full* output.
1214 # Uncomment these lines and the lower section and flip the 'legalRange' value to 1
1215 # to recover the old behavior, where both legal and full range LUTs were generated
1216 if odt_values['transformHasFullLegalSwitch']:
1217 # odt_name_legal = '%s - Legal' % odt_values['transformUserName']
1218 odt_legal['legalRange'] = 0
1220 # odt_name_legal = odt_values['transformUserName']
1222 odt_name_legal = odt_values['transformUserName']
1224 odt_legal = odt_values.copy()
1226 odt_aliases = ['out_%s' % compact(odt_name_legal)]
1228 cs = create_ACES_RRT_plus_ODT(
1238 colorspaces.append(cs)
1240 displays[odt_name_legal] = {
1241 'Raw': linear_display_space,
1242 'Log': log_display_space,
1243 'Output Transform': cs}
1246 # Generating full range transform for *ODTs* that can generate
1247 # either *legal* or *full* output.
1248 if odt_values['transformHasFullLegalSwitch']:
1249 print('Generating full range ODT for %s' % odt_name)
1251 odt_name_full = '%s - Full' % odt_values['transformUserName']
1252 odt_full = odt_values.copy()
1253 odt_full['legalRange'] = 0
1255 odt_full_aliases = ['out_%s' % compact(odt_name_full)]
1257 cs_full = create_ACES_RRT_plus_ODT(
1267 colorspaces.append(cs_full)
1269 displays[odt_name_full] = {
1270 'Raw': linear_display_space,
1271 'Log': log_display_space,
1272 'Output Transform': cs_full}
1275 return (colorspaces, displays)
1278 def get_transform_info(ctl_transform):
1285 Parameter description.
1290 Return value description.
1293 with open(ctl_transform, 'rb') as fp:
1294 lines = fp.readlines()
1296 # Retrieving the *transform ID* and *User Name*.
1297 transform_id = lines[1][3:].split('<')[1].split('>')[1].strip()
1298 transform_user_name = '-'.join(
1299 lines[2][3:].split('<')[1].split('>')[1].split('-')[1:]).strip()
1300 transform_user_name_prefix = (
1301 lines[2][3:].split('<')[1].split('>')[1].split('-')[0].strip())
1303 # Figuring out if this transform has options for processing full and legal range
1304 transform_full_legal_switch = False
1306 if line.strip() == 'input varying int legalRange = 0':
1307 # print( '%s has legal range flag' % transform_user_name)
1308 transform_full_legal_switch = True
1311 return (transform_id, transform_user_name, transform_user_name_prefix,
1312 transform_full_legal_switch)
1315 def get_ODTs_info(aces_ctl_directory):
1319 For versions after WGR9.
1324 Parameter description.
1329 Return value description.
1332 # TODO: Investigate usage of *files_walker* definition here.
1333 # Credit to *Alex Fry* for the original approach here.
1334 odt_dir = os.path.join(aces_ctl_directory, 'odt')
1336 for dir_name, subdir_list, file_list in os.walk(odt_dir):
1337 for fname in file_list:
1338 all_odt.append((os.path.join(dir_name, fname)))
1340 odt_CTLs = [x for x in all_odt if
1341 ('InvODT' not in x) and (os.path.split(x)[-1][0] != '.')]
1345 for odt_CTL in odt_CTLs:
1346 odt_tokens = os.path.split(odt_CTL)
1348 # Handling nested directories.
1349 odt_path_tokens = os.path.split(odt_tokens[-2])
1350 odt_dir = odt_path_tokens[-1]
1351 while odt_path_tokens[-2][-3:] != 'odt':
1352 odt_path_tokens = os.path.split(odt_path_tokens[-2])
1353 odt_dir = os.path.join(odt_path_tokens[-1], odt_dir)
1355 # Building full name,
1356 transform_CTL = odt_tokens[-1]
1357 odt_name = string.join(transform_CTL.split('.')[1:-1], '.')
1359 # Finding id, user name and user name prefix.
1361 transform_user_name,
1362 transform_user_name_prefix,
1363 transform_full_legal_switch) = get_transform_info(
1364 os.path.join(aces_ctl_directory, 'odt', odt_dir, transform_CTL))
1367 transform_CTL_inverse = 'InvODT.%s.ctl' % odt_name
1368 if not os.path.exists(
1369 os.path.join(odt_tokens[-2], transform_CTL_inverse)):
1370 transform_CTL_inverse = None
1372 # Add to list of ODTs
1374 odts[odt_name]['transformCTL'] = os.path.join(odt_dir, transform_CTL)
1375 if transform_CTL_inverse is not None:
1376 odts[odt_name]['transformCTLInverse'] = os.path.join(
1377 odt_dir, transform_CTL_inverse)
1379 odts[odt_name]['transformID'] = transform_ID
1380 odts[odt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1381 odts[odt_name]['transformUserName'] = transform_user_name
1383 'transformHasFullLegalSwitch'] = transform_full_legal_switch
1385 forward_CTL = odts[odt_name]['transformCTL']
1387 print('ODT : %s' % odt_name)
1388 print('\tTransform ID : %s' % transform_ID)
1389 print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1390 print('\tTransform User Name : %s' % transform_user_name)
1392 '\tHas Full / Legal Switch : %s' % transform_full_legal_switch)
1393 print('\tForward ctl : %s' % forward_CTL)
1394 if 'transformCTLInverse' in odts[odt_name]:
1395 inverse_CTL = odts[odt_name]['transformCTLInverse']
1396 print('\tInverse ctl : %s' % inverse_CTL)
1398 print('\tInverse ctl : %s' % 'None')
1405 def get_LMTs_info(aces_ctl_directory):
1409 For versions after WGR9.
1414 Parameter description.
1419 Return value description.
1422 # TODO: Investigate refactoring with previous definition.
1424 # Credit to Alex Fry for the original approach here
1425 lmt_dir = os.path.join(aces_ctl_directory, 'lmt')
1427 for dir_name, subdir_list, file_list in os.walk(lmt_dir):
1428 for fname in file_list:
1429 all_lmt.append((os.path.join(dir_name, fname)))
1431 lmt_CTLs = [x for x in all_lmt if
1432 ('InvLMT' not in x) and ('README' not in x) and (
1433 os.path.split(x)[-1][0] != '.')]
1437 for lmt_CTL in lmt_CTLs:
1438 lmt_tokens = os.path.split(lmt_CTL)
1440 # Handlimg nested directories.
1441 lmt_path_tokens = os.path.split(lmt_tokens[-2])
1442 lmt_dir = lmt_path_tokens[-1]
1443 while lmt_path_tokens[-2][-3:] != 'ctl':
1444 lmt_path_tokens = os.path.split(lmt_path_tokens[-2])
1445 lmt_dir = os.path.join(lmt_path_tokens[-1], lmt_dir)
1447 # Building full name.
1448 transform_CTL = lmt_tokens[-1]
1449 lmt_name = string.join(transform_CTL.split('.')[1:-1], '.')
1451 # Finding id, user name and user name prefix.
1453 transform_user_name,
1454 transform_user_name_prefix,
1455 transform_full_legal_switch) = get_transform_info(
1456 os.path.join(aces_ctl_directory, lmt_dir, transform_CTL))
1459 transform_CTL_inverse = 'InvLMT.%s.ctl' % lmt_name
1460 if not os.path.exists(
1461 os.path.join(lmt_tokens[-2], transform_CTL_inverse)):
1462 transform_CTL_inverse = None
1465 lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_CTL)
1466 if transform_CTL_inverse is not None:
1467 lmts[lmt_name]['transformCTLInverse'] = os.path.join(
1468 lmt_dir, transform_CTL_inverse)
1470 lmts[lmt_name]['transformID'] = transform_ID
1471 lmts[lmt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1472 lmts[lmt_name]['transformUserName'] = transform_user_name
1474 forward_CTL = lmts[lmt_name]['transformCTL']
1476 print('LMT : %s' % lmt_name)
1477 print('\tTransform ID : %s' % transform_ID)
1478 print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1479 print('\tTransform User Name : %s' % transform_user_name)
1480 print('\t Forward ctl : %s' % forward_CTL)
1481 if 'transformCTLInverse' in lmts[lmt_name]:
1482 inverse_CTL = lmts[lmt_name]['transformCTLInverse']
1483 print('\t Inverse ctl : %s' % inverse_CTL)
1485 print('\t Inverse ctl : %s' % 'None')
1492 def create_colorspaces(aces_ctl_directory,
1501 Generates the colorspace conversions.
1506 Parameter description.
1511 Return value description.
1516 ACES = create_ACES()
1518 ACEScc = create_ACEScc(aces_ctl_directory, lut_directory,
1519 lut_resolution_1d, cleanup,
1520 min_value=-0.35840, max_value=1.468)
1521 colorspaces.append(ACEScc)
1523 ACESproxy = create_ACESproxy(aces_ctl_directory, lut_directory,
1524 lut_resolution_1d, cleanup)
1525 colorspaces.append(ACESproxy)
1527 ACEScg = create_ACEScg(aces_ctl_directory, lut_directory,
1528 lut_resolution_1d, cleanup)
1529 colorspaces.append(ACEScg)
1531 ADX10 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=10)
1532 colorspaces.append(ADX10)
1534 ADX16 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=16)
1535 colorspaces.append(ADX16)
1537 lmts = create_LMTs(aces_ctl_directory,
1544 colorspaces.extend(lmts)
1546 odts, displays = create_ODTs(aces_ctl_directory,
1555 colorspaces.extend(odts)
1557 # Wish there was an automatic way to get this from the CTL
1558 defaultDisplay = 'sRGB (D60 sim.)'
1560 roles = {'color_picking': ACEScg.name,
1561 'color_timing': ACEScc.name,
1562 'compositing_log': ACEScc.name,
1564 'default': ACES.name,
1565 'matte_paint': ACEScc.name,
1567 'scene_linear': ACEScg.name,
1568 'texture_paint': ''}
1570 return ACES, colorspaces, displays, ACEScc, roles, defaultDisplay