aces_1.0.0/python/aces_ocio/colorspaces/aces.py

   1 #!/usr/bin/env python
   2 # -*- coding: utf-8 -*-
   3
   4 """
   5 Implements support for *ACES* colorspaces conversions and transfer functions.
   6 """
   7
   8 from __future__ import division
   9
  10 import math
  11 import numpy
  12 import os
  13 import pprint
  14 import string
  15 import shutil
  16
  17 import PyOpenColorIO as ocio
  18
  19 from aces_ocio.lut import (
  20     generate_1d_LUT_from_CTL,
  21     generate_3d_LUT_from_CTL,
  22     write_SPI_1d)
  23 from aces_ocio.utilities import (
  24     ColorSpace,
  25     mat44_from_mat33,
  26     sanitize,
  27     compact)
  28
  29 __author__ = 'ACES Developers'
  30 __copyright__ = 'Copyright (C) 2014 - 2015 - ACES Developers'
  31 __license__ = ''
  32 __maintainer__ = 'ACES Developers'
  33 __email__ = 'aces@oscars.org'
  34 __status__ = 'Production'
  35
  36 __all__ = ['ACES_AP1_TO_AP0',
  37            'ACES_AP0_TO_AP1',
  38            'ACES_AP0_TO_XYZ',
  39            'ACES_XYZ_TO_AP0',
  40            'create_ACES',
  41            'create_ACEScc',
  42            'create_ACESproxy',
  43            'create_ACEScg',
  44            'create_ADX',
  45            'create_generic_log',
  46            'create_Dolby_PQ',
  47            'create_Dolby_PQ_scaled',
  48            'create_ACES_LMT',
  49            'create_LMTs',
  50            'create_ACES_RRT_plus_ODT',
  51            'create_ODTs',
  52            'get_transform_info',
  53            'get_ODTs_info',
  54            'get_LMTs_info',
  55            'create_colorspaces']
  56
  57 # Matrix converting *ACES AP1* primaries to *ACES AP0*.
  58 ACES_AP1_TO_AP0 = [0.6954522414, 0.1406786965, 0.1638690622,
  59                    0.0447945634, 0.8596711185, 0.0955343182,
  60                    -0.0055258826, 0.0040252103, 1.0015006723]
  61
  62 # Matrix converting *ACES AP0* primaries to *ACES AP1*.
  63 ACES_AP0_TO_AP1 = [1.4514393161, -0.2365107469, -0.2149285693,
  64                    -0.0765537734, 1.1762296998, -0.0996759264,
  65                    0.0083161484, -0.0060324498, 0.9977163014]
  66
  67 # Matrix converting *ACES AP0* primaries to *XYZ*.
  68 ACES_AP0_TO_XYZ = [0.9525523959, 0.0000000000, 0.0000936786,
  69                    0.3439664498, 0.7281660966, -0.0721325464,
  70                    0.0000000000, 0.0000000000, 1.0088251844]
  71
  72 # Matrix converting *ACES AP0* primaries to *XYZ*.
  73 ACES_XYZ_TO_AP0 = [1.0498110175, 0.0000000000, -0.0000974845,
  74                    -0.4959030231, 1.3733130458, 0.0982400361,
  75                    0.0000000000, 0.0000000000, 0.9912520182]
  76
  77
  78 def create_ACES():
  79     """
  80     Object description.
  81
  82     Parameters
  83     ----------
  84     parameter : type
  85         Parameter description.
  86
  87     Returns
  88     -------
  89     type
  90          Return value description.
  91     """
  92
  93     # Defining the reference colorspace.
  94     aces2065_1 = ColorSpace('ACES2065-1')
  95     aces2065_1.description = (
  96         'The Academy Color Encoding System reference color space')
  97     aces2065_1.equality_group = ''
  98     aces2065_1.aliases = ['lin_ap0', 'aces']
  99     aces2065_1.family = 'ACES'
 100     aces2065_1.is_data = False
 101     aces2065_1.allocation_type = ocio.Constants.ALLOCATION_LG2
 102     aces2065_1.allocation_vars = [-8, 5, 0.00390625]
 103
 104     return aces2065_1
 105
 106
 107 def create_ACEScc(aces_ctl_directory,
 108                   lut_directory,
 109                   lut_resolution_1d,
 110                   cleanup,
 111                   name='ACEScc',
 112                   min_value=0,
 113                   max_value=1,
 114                   input_scale=1):
 115     """
 116     Creates the *ACEScc* colorspace.
 117
 118     Parameters
 119     ----------
 120     parameter : type
 121         Parameter description.
 122
 123     Returns
 124     -------
 125     Colorspace
 126          *ACEScc* colorspace.
 127     """
 128
 129     cs = ColorSpace(name)
 130     cs.description = 'The %s color space' % name
 131     cs.aliases = ['acescc', 'acescc_ap1']
 132     cs.equality_group = ''
 133     cs.family = 'ACES'
 134     cs.is_data = False
 135     cs.allocation_type = ocio.Constants.ALLOCATION_UNIFORM
 136     cs.allocation_vars = [min_value, max_value]
 137     cs.aces_transform_id = 'ACEScsc.ACEScc_to_ACES.a1.0.0'
 138
 139     ctls = [os.path.join(aces_ctl_directory,
 140                          'ACEScc',
 141                          'ACEScsc.ACEScc_to_ACES.a1.0.0.ctl'),
 142             # This transform gets back to the *AP1* primaries.
 143             # Useful as the 1d LUT is only covering the transfer function.
 144             # The primaries switch is covered by the matrix below:
 145             os.path.join(aces_ctl_directory,
 146                          'ACEScg',
 147                          'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
 148     lut = '%s_to_linear.spi1d' % name
 149
 150     lut = sanitize(lut)
 151
 152     generate_1d_LUT_from_CTL(
 153         os.path.join(lut_directory, lut),
 154         ctls,
 155         lut_resolution_1d,
 156         'float',
 157         input_scale,
 158         1,
 159         {},
 160         cleanup,
 161         aces_ctl_directory,
 162         min_value,
 163         max_value,
 164         1)
 165
 166     cs.to_reference_transforms = []
 167     cs.to_reference_transforms.append({
 168         'type': 'lutFile',
 169         'path': lut,
 170         'interpolation': 'linear',
 171         'direction': 'forward'})
 172
 173     # *AP1* primaries to *AP0* primaries
 174     cs.to_reference_transforms.append({
 175         'type': 'matrix',
 176         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 177         'direction': 'forward'})
 178
 179     cs.from_reference_transforms = []
 180     return cs
 181
 182
 183 def create_ACESproxy(aces_ctl_directory,
 184                      lut_directory,
 185                      lut_resolution_1d,
 186                      cleanup,
 187                      name='ACESproxy'):
 188     """
 189     Creates the *ACESproxy* colorspace.
 190
 191     Parameters
 192     ----------
 193     parameter : type
 194         Parameter description.
 195
 196     Returns
 197     -------
 198     Colorspace
 199          *ACESproxy* colorspace.
 200     """
 201
 202     cs = ColorSpace(name)
 203     cs.description = 'The %s color space' % name
 204     cs.aliases = ['acesproxy', 'acesproxy_ap1']
 205     cs.equality_group = ''
 206     cs.family = 'ACES'
 207     cs.is_data = False
 208
 209     cs.aces_transform_id = 'ACEScsc.ACESproxy10i_to_ACES.a1.0.0'
 210
 211     ctls = [os.path.join(aces_ctl_directory,
 212                          'ACESproxy',
 213                          'ACEScsc.ACESproxy10i_to_ACES.a1.0.0.ctl'),
 214             # This transform gets back to the *AP1* primaries.
 215             # Useful as the 1d LUT is only covering the transfer function.
 216             # The primaries switch is covered by the matrix below:
 217             os.path.join(aces_ctl_directory,
 218                          'ACEScg',
 219                          'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
 220     lut = '%s_to_linear.spi1d' % name
 221
 222     lut = sanitize(lut)
 223
 224     generate_1d_LUT_from_CTL(
 225         os.path.join(lut_directory, lut),
 226         ctls,
 227         lut_resolution_1d,
 228         'float',
 229         1,
 230         1,
 231         {},
 232         cleanup,
 233         aces_ctl_directory,
 234         0,
 235         1,
 236         1)
 237
 238     cs.to_reference_transforms = []
 239     cs.to_reference_transforms.append({
 240         'type': 'lutFile',
 241         'path': lut,
 242         'interpolation': 'linear',
 243         'direction': 'forward'})
 244
 245     # *AP1* primaries to *AP0* primaries
 246     cs.to_reference_transforms.append({
 247         'type': 'matrix',
 248         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 249         'direction': 'forward'})
 250
 251     cs.from_reference_transforms = []
 252     return cs
 253
 254
 255 # -------------------------------------------------------------------------
 256 # *ACEScg*
 257 # -------------------------------------------------------------------------
 258 def create_ACEScg():
 259     """
 260     Creates the *ACEScg* colorspace.
 261
 262     Parameters
 263     ----------
 264     parameter : type
 265         Parameter description.
 266
 267     Returns
 268     -------
 269     Colorspace
 270          *ACEScg* colorspace.
 271     """
 272
 273     name = 'ACEScg'
 274
 275     cs = ColorSpace(name)
 276     cs.description = 'The %s color space' % name
 277     cs.aliases = ['acescg', 'lin_ap1']
 278     cs.equality_group = ''
 279     cs.family = 'ACES'
 280     cs.is_data = False
 281     cs.allocation_type = ocio.Constants.ALLOCATION_LG2
 282     cs.allocation_vars = [-8, 5, 0.00390625]
 283
 284     cs.aces_transform_id = 'ACEScsc.ACEScg_to_ACES.a1.0.0'
 285
 286     cs.to_reference_transforms = []
 287
 288     # *AP1* primaries to *AP0* primaries
 289     cs.to_reference_transforms.append({
 290         'type': 'matrix',
 291         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 292         'direction': 'forward'})
 293
 294     cs.from_reference_transforms = []
 295
 296     # *AP1* primaries to *AP0* primaries
 297     cs.from_reference_transforms.append({
 298         'type': 'matrix',
 299         'matrix': mat44_from_mat33(ACES_AP0_TO_AP1),
 300         'direction': 'forward'})
 301
 302     return cs
 303
 304
 305 # -------------------------------------------------------------------------
 306 # *ADX*
 307 # -------------------------------------------------------------------------
 308 def create_ADX(lut_directory,
 309                bit_depth=10,
 310                name='ADX'):
 311     """
 312     Creates the *ADX* colorspace.
 313
 314     Parameters
 315     ----------
 316     parameter : type
 317         Parameter description.
 318
 319     Returns
 320     -------
 321     Colorspace
 322          *ADX* colorspace.
 323     """
 324
 325     name = '%s%s' % (name, bit_depth)
 326     cs = ColorSpace(name)
 327     cs.description = '%s color space - used for film scans' % name
 328     cs.aliases = ['adx%s' % str(bit_depth)]
 329     cs.equality_group = ''
 330     cs.family = 'ADX'
 331     cs.is_data = False
 332
 333     if bit_depth == 10:
 334         cs.aces_transform_id = 'ACEScsc.ADX10_to_ACES.a1.0.0'
 335
 336         cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT10
 337         ADX_to_CDD = [1023 / 500, 0, 0, 0,
 338                       0, 1023 / 500, 0, 0,
 339                       0, 0, 1023 / 500, 0,
 340                       0, 0, 0, 1]
 341         offset = [-95 / 500, -95 / 500, -95 / 500, 0]
 342     elif bit_depth == 16:
 343         cs.aces_transform_id = 'ACEScsc.ADX16_to_ACES.a1.0.0'
 344
 345         cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT16
 346         ADX_to_CDD = [65535 / 8000, 0, 0, 0,
 347                       0, 65535 / 8000, 0, 0,
 348                       0, 0, 65535 / 8000, 0,
 349                       0, 0, 0, 1]
 350         offset = [-1520 / 8000, -1520 / 8000, -1520 / 8000, 0]
 351
 352     cs.to_reference_transforms = []
 353
 354     # Converting from *ADX* to *Channel-Dependent Density*.
 355     cs.to_reference_transforms.append({
 356         'type': 'matrix',
 357         'matrix': ADX_to_CDD,
 358         'offset': offset,
 359         'direction': 'forward'})
 360
 361     # Converting from *Channel-Dependent Density* to
 362     # *Channel-Independent Density*.
 363     cs.to_reference_transforms.append({
 364         'type': 'matrix',
 365         'matrix': [0.75573, 0.22197, 0.02230, 0,
 366                    0.05901, 0.96928, -0.02829, 0,
 367                    0.16134, 0.07406, 0.76460, 0,
 368                    0, 0, 0, 1],
 369         'direction': 'forward'})
 370
 371     # Copied from *Alex Fry*'s *adx_cid_to_rle.py*
 372     def create_CID_to_RLE_LUT():
 373
 374         def interpolate_1d(x, xp, fp):
 375             return numpy.interp(x, xp, fp)
 376
 377         LUT_1D_XP = [-0.190000000000000,
 378                      0.010000000000000,
 379                      0.028000000000000,
 380                      0.054000000000000,
 381                      0.095000000000000,
 382                      0.145000000000000,
 383                      0.220000000000000,
 384                      0.300000000000000,
 385                      0.400000000000000,
 386                      0.500000000000000,
 387                      0.600000000000000]
 388
 389         LUT_1D_FP = [-6.000000000000000,
 390                      -2.721718645000000,
 391                      -2.521718645000000,
 392                      -2.321718645000000,
 393                      -2.121718645000000,
 394                      -1.921718645000000,
 395                      -1.721718645000000,
 396                      -1.521718645000000,
 397                      -1.321718645000000,
 398                      -1.121718645000000,
 399                      -0.926545676714876]
 400
 401         REF_PT = ((7120 - 1520) / 8000 * (100 / 55) -
 402                   math.log(0.18, 10))
 403
 404         def cid_to_rle(x):
 405             if x <= 0.6:
 406                 return interpolate_1d(x, LUT_1D_XP, LUT_1D_FP)
 407             return (100 / 55) * x - REF_PT
 408
 409         def fit(value, from_min, from_max, to_min, to_max):
 410             if from_min == from_max:
 411                 raise ValueError('from_min == from_max')
 412             return (value - from_min) / (from_max - from_min) * (
 413                 to_max - to_min) + to_min
 414
 415         num_samples = 2 ** 12
 416         domain = (-0.19, 3)
 417         data = []
 418         for i in xrange(num_samples):
 419             x = i / (num_samples - 1)
 420             x = fit(x, 0, 1, domain[0], domain[1])
 421             data.append(cid_to_rle(x))
 422
 423         lut = 'ADX_CID_to_RLE.spi1d'
 424         write_SPI_1d(os.path.join(lut_directory, lut),
 425                      domain[0],
 426                      domain[1],
 427                      data,
 428                      num_samples, 1)
 429
 430         return lut
 431
 432     # Converting *Channel Independent Density* values to
 433     # *Relative Log Exposure* values.
 434     lut = create_CID_to_RLE_LUT()
 435     cs.to_reference_transforms.append({
 436         'type': 'lutFile',
 437         'path': lut,
 438         'interpolation': 'linear',
 439         'direction': 'forward'})
 440
 441     # Converting *Relative Log Exposure* values to
 442     # *Relative Exposure* values.
 443     cs.to_reference_transforms.append({
 444         'type': 'log',
 445         'base': 10,
 446         'direction': 'inverse'})
 447
 448     # Convert *Relative Exposure* values to *ACES* values.
 449     cs.to_reference_transforms.append({
 450         'type': 'matrix',
 451         'matrix': [0.72286, 0.12630, 0.15084, 0,
 452                    0.11923, 0.76418, 0.11659, 0,
 453                    0.01427, 0.08213, 0.90359, 0,
 454                    0, 0, 0, 1],
 455         'direction': 'forward'})
 456
 457     cs.from_reference_transforms = []
 458     return cs
 459
 460
 461 # -------------------------------------------------------------------------
 462 # Generic *Log* Transform
 463 # -------------------------------------------------------------------------
 464 def create_generic_log(aces_ctl_directory,
 465                        lut_directory,
 466                        lut_resolution_1d,
 467                        cleanup,
 468                        name='log',
 469                        aliases=None,
 470                        min_value=0,
 471                        max_value=1,
 472                        input_scale=1,
 473                        middle_grey=0.18,
 474                        min_exposure=-6,
 475                        max_exposure=6.5):
 476     """
 477     Creates the *Generic Log* colorspace.
 478
 479     Parameters
 480     ----------
 481     parameter : type
 482         Parameter description.
 483
 484     Returns
 485     -------
 486     Colorspace
 487          *Generic Log* colorspace.
 488     """
 489
 490     if aliases is None:
 491         aliases = []
 492
 493     cs = ColorSpace(name)
 494     cs.description = 'The %s color space' % name
 495     cs.aliases = aliases
 496     cs.equality_group = name
 497     cs.family = 'Utility'
 498     cs.is_data = False
 499
 500     ctls = [os.path.join(
 501         aces_ctl_directory,
 502         'utilities',
 503         'ACESlib.Log2_to_Lin_param.a1.0.0.ctl')]
 504     lut = '%s_to_linear.spi1d' % name
 505
 506     lut = sanitize(lut)
 507
 508     generate_1d_LUT_from_CTL(
 509         os.path.join(lut_directory, lut),
 510         ctls,
 511         lut_resolution_1d,
 512         'float',
 513         input_scale,
 514         1,
 515         {'middleGrey': middle_grey,
 516          'minExposure': min_exposure,
 517          'maxExposure': max_exposure},
 518         cleanup,
 519         aces_ctl_directory,
 520         min_value,
 521         max_value,
 522         1)
 523
 524     cs.to_reference_transforms = []
 525     cs.to_reference_transforms.append({
 526         'type': 'lutFile',
 527         'path': lut,
 528         'interpolation': 'linear',
 529         'direction': 'forward'})
 530
 531     cs.from_reference_transforms = []
 532     return cs
 533
 534
 535 # -------------------------------------------------------------------------
 536 # Base *Dolby PQ* Transform
 537 # -------------------------------------------------------------------------
 538 def create_Dolby_PQ(aces_ctl_directory,
 539                     lut_directory,
 540                     lut_resolution_1d,
 541                     cleanup,
 542                     name='pq',
 543                     aliases=None,
 544                     min_value=0.0,
 545                     max_value=1.0,
 546                     input_scale=1.0):
 547     if aliases is None:
 548         aliases = []
 549
 550     cs = ColorSpace(name)
 551     cs.description = 'The %s color space' % name
 552     cs.aliases = aliases
 553     cs.equality_group = name
 554     cs.family = 'Utility'
 555     cs.is_data = False
 556
 557     ctls = [os.path.join(
 558         aces_ctl_directory,
 559         'utilities',
 560         'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl')]
 561     lut = '%s_to_linear.spi1d' % name
 562
 563     lut = sanitize(lut)
 564
 565     generate_1d_LUT_from_CTL(
 566         os.path.join(lut_directory, lut),
 567         ctls,
 568         lut_resolution_1d,
 569         'float',
 570         input_scale,
 571         1.0,
 572         {},
 573         cleanup,
 574         aces_ctl_directory,
 575         min_value,
 576         max_value)
 577
 578     cs.to_reference_transforms = []
 579     cs.to_reference_transforms.append({
 580         'type': 'lutFile',
 581         'path': lut,
 582         'interpolation': 'linear',
 583         'direction': 'forward'})
 584
 585     cs.from_reference_transforms = []
 586     return cs
 587
 588
 589 # -------------------------------------------------------------------------
 590 # *Dolby PQ* Transform - Fixed Linear Range
 591 # -------------------------------------------------------------------------
 592 def create_Dolby_PQ_scaled(aces_ctl_directory,
 593                            lut_directory,
 594                            lut_resolution_1d,
 595                            cleanup,
 596                            name='pq',
 597                            aliases=None,
 598                            min_value=0.0,
 599                            max_value=1.0,
 600                            input_scale=1.0,
 601                            middle_grey=0.18,
 602                            min_exposure=-6.0,
 603                            max_exposure=6.5):
 604     if aliases is None:
 605         aliases = []
 606
 607     cs = ColorSpace(name)
 608     cs.description = 'The %s color space' % name
 609     cs.aliases = aliases
 610     cs.equality_group = name
 611     cs.family = 'Utility'
 612     cs.is_data = False
 613
 614     ctls = [os.path.join(
 615         aces_ctl_directory,
 616         'utilities',
 617         'ACESlib.DolbyPQ_to_lin_param.a1.0.0.ctl')]
 618     lut = '%s_to_linear.spi1d' % name
 619
 620     lut = sanitize(lut)
 621
 622     generate_1d_LUT_from_CTL(
 623         os.path.join(lut_directory, lut),
 624         ctls,
 625         lut_resolution_1d,
 626         'float',
 627         input_scale,
 628         1.0,
 629         {'middleGrey': middle_grey,
 630          'minExposure': min_exposure,
 631          'maxExposure': max_exposure},
 632         cleanup,
 633         aces_ctl_directory,
 634         min_value,
 635         max_value)
 636
 637     cs.to_reference_transforms = []
 638     cs.to_reference_transforms.append({
 639         'type': 'lutFile',
 640         'path': lut,
 641         'interpolation': 'linear',
 642         'direction': 'forward'})
 643
 644     cs.from_reference_transforms = []
 645     return cs
 646
 647
 648 # -------------------------------------------------------------------------
 649 # Individual *LMT*
 650 # -------------------------------------------------------------------------
 651 def create_ACES_LMT(lmt_name,
 652                     lmt_values,
 653                     shaper_info,
 654                     aces_ctl_directory,
 655                     lut_directory,
 656                     lut_resolution_3d=64,
 657                     cleanup=True,
 658                     aliases=None):
 659     """
 660     Creates the *ACES LMT* colorspace.
 661
 662     Parameters
 663     ----------
 664     parameter : type
 665         Parameter description.
 666
 667     Returns
 668     -------
 669     Colorspace
 670          *ACES LMT* colorspace.
 671     """
 672
 673     if aliases is None:
 674         aliases = []
 675
 676     cs = ColorSpace('%s' % lmt_name)
 677     cs.description = 'The ACES Look Transform: %s' % lmt_name
 678     cs.aliases = aliases
 679     cs.equality_group = ''
 680     cs.family = 'Look'
 681     cs.is_data = False
 682     cs.allocation_type = ocio.Constants.ALLOCATION_LG2
 683     cs.allocation_vars = [-8, 5, 0.00390625]
 684     cs.aces_transform_id = lmt_values['transformID']
 685
 686     pprint.pprint(lmt_values)
 687
 688     # Generating the *shaper* transform.
 689     (shaper_name,
 690      shaper_to_aces_ctl,
 691      shaper_from_aces_ctl,
 692      shaper_input_scale,
 693      shaper_params) = shaper_info
 694
 695     shaper_lut = '%s_to_linear.spi1d' % shaper_name
 696     shaper_lut = sanitize(shaper_lut)
 697
 698     shaper_ocio_transform = {
 699         'type': 'lutFile',
 700         'path': shaper_lut,
 701         'interpolation': 'linear',
 702         'direction': 'inverse'}
 703
 704     # Generating the forward transform.
 705     cs.from_reference_transforms = []
 706
 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)
 712
 713         lut = sanitize(lut)
 714
 715         generate_3d_LUT_from_CTL(
 716             os.path.join(lut_directory, lut),
 717             ctls,
 718             lut_resolution_3d,
 719             'float',
 720             1 / shaper_input_scale,
 721             1,
 722             shaper_params,
 723             cleanup,
 724             aces_ctl_directory)
 725
 726         cs.from_reference_transforms.append(shaper_ocio_transform)
 727         cs.from_reference_transforms.append({
 728             'type': 'lutFile',
 729             'path': lut,
 730             'interpolation': 'tetrahedral',
 731             'direction': 'forward'})
 732
 733     # Generating the inverse transform.
 734     cs.to_reference_transforms = []
 735
 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         # TODO: Investigate unresolved `odt_name` reference.
 741         lut = 'Inverse.%s.%s.spi3d' % (odt_name, shaper_name)
 742
 743         lut = sanitize(lut)
 744
 745         generate_3d_LUT_from_CTL(
 746             os.path.join(lut_directory, lut),
 747             ctls,
 748             lut_resolution_3d,
 749             'half',
 750             1,
 751             shaper_input_scale,
 752             shaper_params,
 753             cleanup,
 754             aces_ctl_directory,
 755             0)
 756
 757         cs.to_reference_transforms.append({
 758             'type': 'lutFile',
 759             'path': lut,
 760             'interpolation': 'tetrahedral',
 761             'direction': 'forward'})
 762
 763         shaper_inverse = shaper_ocio_transform.copy()
 764         shaper_inverse['direction'] = 'forward'
 765         cs.to_reference_transforms.append(shaper_inverse)
 766
 767     return cs
 768
 769
 770 # -------------------------------------------------------------------------
 771 # *LMTs*
 772 # -------------------------------------------------------------------------
 773 def create_LMTs(aces_ctl_directory,
 774                 lut_directory,
 775                 lut_resolution_1d,
 776                 lut_resolution_3d,
 777                 lmt_info,
 778                 cleanup):
 779     """
 780     Object description.
 781
 782     Parameters
 783     ----------
 784     parameter : type
 785         Parameter description.
 786
 787     Returns
 788     -------
 789     type
 790          Return value description.
 791     """
 792
 793     colorspaces = []
 794
 795     # -------------------------------------------------------------------------
 796     # *LMT Shaper*
 797     # -------------------------------------------------------------------------
 798     lmt_lut_resolution_1d = max(4096, lut_resolution_1d)
 799     lmt_lut_resolution_3d = max(65, lut_resolution_3d)
 800
 801     # Defining the *Log 2* shaper.
 802     lmt_shaper_name = 'LMT Shaper'
 803     lmt_shaper_name_aliases = ['crv_lmtshaper']
 804     lmt_params = {
 805         'middleGrey': 0.18,
 806         'minExposure': -10,
 807         'maxExposure': 6.5}
 808
 809     lmt_shaper = create_generic_log(aces_ctl_directory,
 810                                     lut_directory,
 811                                     lmt_lut_resolution_1d,
 812                                     cleanup,
 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)
 819
 820     shaper_input_scale_generic_log2 = 1
 821
 822     # *Log 2* shaper name and *CTL* transforms bundled up.
 823     lmt_shaper_data = [
 824         lmt_shaper_name,
 825         os.path.join('%s',
 826                      'utilities',
 827                      'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
 828         os.path.join('%s',
 829                      'utilities',
 830                      'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
 831         shaper_input_scale_generic_log2,
 832         lmt_params]
 833
 834     sorted_lmts = sorted(lmt_info.iteritems(), key=lambda x: x[1])
 835     print(sorted_lmts)
 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'],
 841             lmt_values,
 842             lmt_shaper_data,
 843             aces_ctl_directory,
 844             lut_directory,
 845             lmt_lut_resolution_3d,
 846             cleanup,
 847             lmt_aliases)
 848         colorspaces.append(cs)
 849
 850     return colorspaces
 851
 852
 853 # -------------------------------------------------------------------------
 854 # *ACES RRT* with supplied *ODT*.
 855 # -------------------------------------------------------------------------
 856 def create_ACES_RRT_plus_ODT(odt_name,
 857                              odt_values,
 858                              shaper_info,
 859                              aces_ctl_directory,
 860                              lut_directory,
 861                              lut_resolution_3d=64,
 862                              cleanup=True,
 863                              aliases=None):
 864     """
 865     Object description.
 866
 867     Parameters
 868     ----------
 869     parameter : type
 870         Parameter description.
 871
 872     Returns
 873     -------
 874     type
 875          Return value description.
 876     """
 877
 878     if aliases is None:
 879         aliases = []
 880
 881     cs = ColorSpace('%s' % odt_name)
 882     cs.description = '%s - %s Output Transform' % (
 883         odt_values['transformUserNamePrefix'], odt_name)
 884     cs.aliases = aliases
 885     cs.equality_group = ''
 886     cs.family = 'Output'
 887     cs.is_data = False
 888
 889     cs.aces_transform_id = odt_values['transformID']
 890
 891     pprint.pprint(odt_values)
 892
 893     # Generating the *shaper* transform.
 894     (shaper_name,
 895      shaper_to_aces_ctl,
 896      shaper_from_aces_ctl,
 897      shaper_input_scale,
 898      shaper_params) = shaper_info
 899
 900     if 'legalRange' in odt_values:
 901         shaper_params['legalRange'] = odt_values['legalRange']
 902     else:
 903         shaper_params['legalRange'] = 0
 904
 905     shaper_lut = '%s_to_linear.spi1d' % shaper_name
 906     shaper_lut = sanitize(shaper_lut)
 907
 908     shaper_ocio_transform = {
 909         'type': 'lutFile',
 910         'path': shaper_lut,
 911         'interpolation': 'linear',
 912         'direction': 'inverse'}
 913
 914     # Generating the *forward* transform.
 915     cs.from_reference_transforms = []
 916
 917     if 'transformLUT' in odt_values:
 918         transform_lut_file_name = os.path.basename(
 919             odt_values['transformLUT'])
 920         lut = os.path.join(lut_directory, transform_lut_file_name)
 921         shutil.copy(odt_values['transformLUT'], lut)
 922
 923         cs.from_reference_transforms.append(shaper_ocio_transform)
 924         cs.from_reference_transforms.append({
 925             'type': 'lutFile',
 926             'path': transform_lut_file_name,
 927             'interpolation': 'tetrahedral',
 928             'direction': 'forward'})
 929     elif 'transformCTL' in odt_values:
 930         ctls = [
 931             shaper_to_aces_ctl % aces_ctl_directory,
 932             os.path.join(aces_ctl_directory,
 933                          'rrt',
 934                          'RRT.a1.0.0.ctl'),
 935             os.path.join(aces_ctl_directory,
 936                          'odt',
 937                          odt_values['transformCTL'])]
 938         lut = '%s.RRT.a1.0.0.%s.spi3d' % (shaper_name, odt_name)
 939
 940         lut = sanitize(lut)
 941
 942         generate_3d_LUT_from_CTL(
 943             os.path.join(lut_directory, lut),
 944             ctls,
 945             lut_resolution_3d,
 946             'float',
 947             1 / shaper_input_scale,
 948             1,
 949             shaper_params,
 950             cleanup,
 951             aces_ctl_directory)
 952
 953         cs.from_reference_transforms.append(shaper_ocio_transform)
 954         cs.from_reference_transforms.append({
 955             'type': 'lutFile',
 956             'path': lut,
 957             'interpolation': 'tetrahedral',
 958             'direction': 'forward'})
 959
 960     # Generating the *inverse* transform.
 961     cs.to_reference_transforms = []
 962
 963     if 'transformLUTInverse' in odt_values:
 964         transform_lut_inverse_file_name = os.path.basename(
 965             odt_values['transformLUTInverse'])
 966         lut = os.path.join(lut_directory, transform_lut_inverse_file_name)
 967         shutil.copy(odt_values['transformLUTInverse'], lut)
 968
 969         cs.to_reference_transforms.append({
 970             'type': 'lutFile',
 971             'path': transform_lut_inverse_file_name,
 972             'interpolation': 'tetrahedral',
 973             'direction': 'forward'})
 974
 975         shaper_inverse = shaper_ocio_transform.copy()
 976         shaper_inverse['direction'] = 'forward'
 977         cs.to_reference_transforms.append(shaper_inverse)
 978     elif 'transformCTLInverse' in odt_values:
 979         ctls = [os.path.join(aces_ctl_directory,
 980                              'odt',
 981                              odt_values['transformCTLInverse']),
 982                 os.path.join(aces_ctl_directory,
 983                              'rrt',
 984                              'InvRRT.a1.0.0.ctl'),
 985                 shaper_from_aces_ctl % aces_ctl_directory]
 986         lut = 'InvRRT.a1.0.0.%s.%s.spi3d' % (odt_name, shaper_name)
 987
 988         lut = sanitize(lut)
 989
 990         generate_3d_LUT_from_CTL(
 991             os.path.join(lut_directory, lut),
 992             ctls,
 993             lut_resolution_3d,
 994             'half',
 995             1,
 996             shaper_input_scale,
 997             shaper_params,
 998             cleanup,
 999             aces_ctl_directory)
1000
1001         cs.to_reference_transforms.append({
1002             'type': 'lutFile',
1003             'path': lut,
1004             'interpolation': 'tetrahedral',
1005             'direction': 'forward'})
1006
1007         shaper_inverse = shaper_ocio_transform.copy()
1008         shaper_inverse['direction'] = 'forward'
1009         cs.to_reference_transforms.append(shaper_inverse)
1010
1011     return cs
1012
1013
1014 # -------------------------------------------------------------------------
1015 # *ODTs*
1016 # -------------------------------------------------------------------------
1017 def create_ODTs(aces_ctl_directory,
1018                 lut_directory,
1019                 lut_resolution_1d,
1020                 lut_resolution_3d,
1021                 odt_info,
1022                 shaper_name,
1023                 cleanup,
1024                 linear_display_space,
1025                 log_display_space):
1026     """
1027     Object description.
1028
1029     Parameters
1030     ----------
1031     parameter : type
1032         Parameter description.
1033
1034     Returns
1035     -------
1036     type
1037          Return value description.
1038     """
1039
1040     colorspaces = []
1041     displays = {}
1042
1043     # -------------------------------------------------------------------------
1044     # *RRT / ODT* Shaper Options
1045     # -------------------------------------------------------------------------
1046     shaper_data = {}
1047
1048     # Defining the *Log 2* shaper.
1049     log2_shaper_name = shaper_name
1050     log2_shaper_name_aliases = ['crv_%s' % compact(log2_shaper_name)]
1051     log2_params = {
1052         'middleGrey': 0.18,
1053         'minExposure': -6,
1054         'maxExposure': 6.5}
1055
1056     log2_shaper_colorspace = create_generic_log(
1057         aces_ctl_directory,
1058         lut_directory,
1059         lut_resolution_1d,
1060         cleanup,
1061         name=log2_shaper_name,
1062         middle_grey=log2_params['middleGrey'],
1063         min_exposure=log2_params['minExposure'],
1064         max_exposure=log2_params['maxExposure'],
1065         aliases=log2_shaper_name_aliases)
1066     colorspaces.append(log2_shaper_colorspace)
1067
1068     shaper_input_scale_generic_log2 = 1
1069
1070     # *Log 2* shaper name and *CTL* transforms bundled up.
1071     log2_shaper_data = [
1072         log2_shaper_name,
1073         os.path.join('%s',
1074                      'utilities',
1075                      'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
1076         os.path.join('%s',
1077                      'utilities',
1078                      'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
1079         shaper_input_scale_generic_log2,
1080         log2_params]
1081
1082     shaper_data[log2_shaper_name] = log2_shaper_data
1083
1084     # Space with a more user-friendly name. Direct copy otherwise.
1085     log2_shaper_copy_name = 'Log2 Shaper'
1086     log2_shaper_copy_colorspace = ColorSpace(log2_shaper_copy_name)
1087     log2_shaper_copy_colorspace.description = (
1088         'The %s color space' % log2_shaper_copy_name)
1089     log2_shaper_copy_colorspace.aliases = [
1090         'crv_%s' % compact(log2_shaper_copy_name)]
1091     log2_shaper_copy_colorspace.equality_group = log2_shaper_copy_name
1092     log2_shaper_copy_colorspace.family = log2_shaper_colorspace.family
1093     log2_shaper_copy_colorspace.is_data = log2_shaper_colorspace.is_data
1094     log2_shaper_copy_colorspace.to_reference_transforms = list(
1095         log2_shaper_colorspace.to_reference_transforms)
1096     log2_shaper_copy_colorspace.from_reference_transforms = list(
1097         log2_shaper_colorspace.from_reference_transforms)
1098     colorspaces.append(log2_shaper_copy_colorspace)
1099
1100     # Defining the *Log2 shaper that includes the AP1* primaries.
1101     log2_shaper_api1_name = '%s - AP1' % 'Log2 Shaper'
1102     log2_shaper_api1_colorspace = ColorSpace(log2_shaper_api1_name)
1103     log2_shaper_api1_colorspace.description = (
1104         'The %s color space' % log2_shaper_api1_name)
1105     log2_shaper_api1_colorspace.aliases = [
1106         '%s_ap1' % compact(log2_shaper_copy_name)]
1107     log2_shaper_api1_colorspace.equality_group = log2_shaper_api1_name
1108     log2_shaper_api1_colorspace.family = log2_shaper_colorspace.family
1109     log2_shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1110     log2_shaper_api1_colorspace.to_reference_transforms = list(
1111         log2_shaper_colorspace.to_reference_transforms)
1112     log2_shaper_api1_colorspace.from_reference_transforms = list(
1113         log2_shaper_colorspace.from_reference_transforms)
1114
1115     # *AP1* primaries to *AP0* primaries
1116     log2_shaper_api1_colorspace.to_reference_transforms.append({
1117         'type': 'matrix',
1118         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
1119         'direction': 'forward'
1120     })
1121     colorspaces.append(log2_shaper_api1_colorspace)
1122
1123     # Defining the *Log2* shaper that includes the *AP1* primaries.
1124     # Named with `shaper_name` variable and needed for some *LUT* baking steps.
1125     shaper_api1_name = '%s - AP1' % shaper_name
1126     shaper_api1_colorspace = ColorSpace(shaper_api1_name)
1127     shaper_api1_colorspace.description = (
1128         'The %s color space' % shaper_api1_name)
1129     shaper_api1_colorspace.aliases = ['%s_ap1' % compact(shaper_name)]
1130     shaper_api1_colorspace.equality_group = shaper_api1_name
1131     shaper_api1_colorspace.family = log2_shaper_colorspace.family
1132     shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1133     shaper_api1_colorspace.to_reference_transforms = list(
1134         log2_shaper_api1_colorspace.to_reference_transforms)
1135     shaper_api1_colorspace.from_reference_transforms = list(
1136         log2_shaper_api1_colorspace.from_reference_transforms)
1137     colorspaces.append(shaper_api1_colorspace)
1138
1139     # Define the base *Dolby PQ Shaper*
1140     #
1141     dolby_pq_shaper_name = 'Dolby PQ 10000'
1142     dolby_pq_shaper_name_aliases = ['crv_%s' % 'dolbypq_10000']
1143
1144     dolby_pq_shaper_colorspace = create_Dolby_PQ(
1145         aces_ctl_directory,
1146         lut_directory,
1147         lut_resolution_1d,
1148         cleanup,
1149         name=dolby_pq_shaper_name,
1150         aliases=dolby_pq_shaper_name_aliases)
1151     colorspaces.append(dolby_pq_shaper_colorspace)
1152
1153     # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1154     dolby_pq_shaper_data = [
1155         dolby_pq_shaper_name,
1156         os.path.join('%s',
1157                      'utilities',
1158                      'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl'),
1159         os.path.join('%s',
1160                      'utilities',
1161                      'ACESlib.Lin_to_DolbyPQ.a1.0.0.ctl'),
1162         1.0,
1163         {}]
1164
1165     shaper_data[dolby_pq_shaper_name] = dolby_pq_shaper_data
1166
1167     # Define the *Dolby PQ Shaper that considers a fixed linear range*
1168     dolby_pq_scaled_shaper_name = 'Dolby PQ Scaled'
1169     dolby_pq_scaled_shaper_name_aliases = ['crv_%s' % 'dolbypq_scaled']
1170
1171     dolby_pq_scaled_shaper_colorspace = create_Dolby_PQ_scaled(
1172         aces_ctl_directory,
1173         lut_directory,
1174         lut_resolution_1d,
1175         cleanup,
1176         name=dolby_pq_scaled_shaper_name,
1177         aliases=dolby_pq_scaled_shaper_name_aliases)
1178     colorspaces.append(dolby_pq_scaled_shaper_colorspace)
1179
1180     # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1181     dolby_pq_scaled_shaper_data = [
1182         dolby_pq_scaled_shaper_name,
1183         os.path.join('%s',
1184                      'utilities',
1185                      'ACESlib.DolbyPQ_to_Lin_param.a1.0.0.ctl'),
1186         os.path.join('%s',
1187                      'utilities',
1188                      'ACESlib.Lin_to_DolbyPQ_param.a1.0.0.ctl'),
1189         1.0,
1190         log2_params]
1191
1192     shaper_data[dolby_pq_scaled_shaper_name] = dolby_pq_scaled_shaper_data
1193
1194     rrt_shaper = log2_shaper_data
1195     # rrt_shaper = dolby_pq_scaled_shaper_data
1196
1197     # *RRT + ODT* combinations.
1198     sorted_odts = sorted(odt_info.iteritems(), key=lambda x: x[1])
1199     print(sorted_odts)
1200     for odt in sorted_odts:
1201         (odt_name, odt_values) = odt
1202
1203         # Defining full range transform for *ODTs* that can only generate
1204         # either *legal* or *full* output.
1205
1206         # Uncomment these lines and the lower section and
1207         # flip the `legalRange` value to 1 to restore the old behavior,
1208         # where both *legal* or *full* range *LUTs* were generated.
1209         if odt_values['transformHasFullLegalSwitch']:
1210             # odt_name_legal = '%s - Legal' % odt_values['transformUserName']
1211             odt_legal['legalRange'] = 0
1212         # else:
1213         #    odt_name_legal = odt_values['transformUserName']
1214
1215         odt_name_legal = odt_values['transformUserName']
1216
1217         odt_legal = odt_values.copy()
1218
1219         odt_aliases = ['out_%s' % compact(odt_name_legal)]
1220
1221         cs = create_ACES_RRT_plus_ODT(
1222             odt_name_legal,
1223             odt_legal,
1224             rrt_shaper,
1225             aces_ctl_directory,
1226             lut_directory,
1227             lut_resolution_3d,
1228             cleanup,
1229             odt_aliases)
1230         colorspaces.append(cs)
1231
1232         displays[odt_name_legal] = {
1233             'Raw': linear_display_space,
1234             'Log': log_display_space,
1235             'Output Transform': cs}
1236
1237         """
1238         # Generating full range transform for *ODTs* that can generate
1239         # either *legal* or *full* output.
1240         if odt_values['transformHasFullLegalSwitch']:
1241             print('Generating full range ODT for %s' % odt_name)
1242
1243             odt_name_full = '%s - Full' % odt_values['transformUserName']
1244             odt_full = odt_values.copy()
1245             odt_full['legalRange'] = 0
1246
1247             odt_full_aliases = ['out_%s' % compact(odt_name_full)]
1248
1249             cs_full = create_ACES_RRT_plus_ODT(
1250                 odt_name_full,
1251                 odt_full,
1252                 rrt_shaper,
1253                 aces_ctl_directory,
1254                 lut_directory,
1255                 lut_resolution_1d,
1256                 lut_resolution_3d,
1257                 cleanup,
1258                 odt_full_aliases)
1259             colorspaces.append(cs_full)
1260
1261             displays[odt_name_full] = {
1262                 'Raw': linear_display_space,
1263                 'Log': log_display_space,
1264                 'Output Transform': cs_full}
1265         """
1266
1267     return colorspaces, displays
1268
1269
1270 def get_transform_info(ctl_transform):
1271     """
1272     Object description.
1273
1274     Parameters
1275     ----------
1276     parameter : type
1277         Parameter description.
1278
1279     Returns
1280     -------
1281     type
1282          Return value description.
1283     """
1284
1285     with open(ctl_transform, 'rb') as fp:
1286         lines = fp.readlines()
1287
1288     # Retrieving the *transform ID* and *User Name*.
1289     transform_id = lines[1][3:].split('<')[1].split('>')[1].strip()
1290     transform_user_name = '-'.join(
1291         lines[2][3:].split('<')[1].split('>')[1].split('-')[1:]).strip()
1292     transform_user_name_prefix = (
1293         lines[2][3:].split('<')[1].split('>')[1].split('-')[0].strip())
1294
1295     # Figuring out if this transform has options for processing *full* and
1296     # *legal* ranges.
1297     transform_full_legal_switch = False
1298     for line in lines:
1299         if line.strip() == 'input varying int legalRange = 0':
1300             # print( '%s has legal range flag' % transform_user_name)
1301             transform_full_legal_switch = True
1302             break
1303
1304     return (transform_id,
1305             transform_user_name,
1306             transform_user_name_prefix,
1307             transform_full_legal_switch)
1308
1309
1310 def get_ODTs_info(aces_ctl_directory):
1311     """
1312     Object description.
1313
1314     For versions after WGR9.
1315
1316     Parameters
1317     ----------
1318     parameter : type
1319         Parameter description.
1320
1321     Returns
1322     -------
1323     type
1324          Return value description.
1325     """
1326
1327     # TODO: Investigate usage of *files_walker* definition here.
1328     # Credit to *Alex Fry* for the original approach here.
1329     odt_dir = os.path.join(aces_ctl_directory, 'odt')
1330     all_odt = []
1331     for dir_name, subdir_list, file_list in os.walk(odt_dir):
1332         for fname in file_list:
1333             all_odt.append((os.path.join(dir_name, fname)))
1334
1335     odt_ctls = [x for x in all_odt if
1336                 ('InvODT' not in x) and (os.path.split(x)[-1][0] != '.')]
1337
1338     odts = {}
1339
1340     for odt_ctl in odt_ctls:
1341         odt_tokens = os.path.split(odt_ctl)
1342
1343         # Handling nested directories.
1344         odt_path_tokens = os.path.split(odt_tokens[-2])
1345         odt_dir = odt_path_tokens[-1]
1346         while odt_path_tokens[-2][-3:] != 'odt':
1347             odt_path_tokens = os.path.split(odt_path_tokens[-2])
1348             odt_dir = os.path.join(odt_path_tokens[-1], odt_dir)
1349
1350         # Building full name.
1351         transform_ctl = odt_tokens[-1]
1352         odt_name = string.join(transform_ctl.split('.')[1:-1], '.')
1353
1354         # Finding id, user name and user name prefix.
1355         (transform_id,
1356          transform_user_name,
1357          transform_user_name_prefix,
1358          transform_full_legal_switch) = get_transform_info(
1359             os.path.join(aces_ctl_directory, 'odt', odt_dir, transform_ctl))
1360
1361         # Finding inverse.
1362         transform_ctl_inverse = 'InvODT.%s.ctl' % odt_name
1363         if not os.path.exists(
1364                 os.path.join(odt_tokens[-2], transform_ctl_inverse)):
1365             transform_ctl_inverse = None
1366
1367         # Adding to list of *ODTs*.
1368         odts[odt_name] = {}
1369         odts[odt_name]['transformCTL'] = os.path.join(odt_dir, transform_ctl)
1370         if transform_ctl_inverse is not None:
1371             odts[odt_name]['transformCTLInverse'] = os.path.join(
1372                 odt_dir, transform_ctl_inverse)
1373
1374         odts[odt_name]['transformID'] = transform_id
1375         odts[odt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1376         odts[odt_name]['transformUserName'] = transform_user_name
1377         odts[odt_name][
1378             'transformHasFullLegalSwitch'] = transform_full_legal_switch
1379
1380         forward_ctl = odts[odt_name]['transformCTL']
1381
1382         print('ODT : %s' % odt_name)
1383         print('\tTransform ID               : %s' % transform_id)
1384         print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1385         print('\tTransform User Name        : %s' % transform_user_name)
1386         print(
1387             '\tHas Full / Legal Switch    : %s' % transform_full_legal_switch)
1388         print('\tForward ctl                : %s' % forward_ctl)
1389         if 'transformCTLInverse' in odts[odt_name]:
1390             inverse_ctl = odts[odt_name]['transformCTLInverse']
1391             print('\tInverse ctl                : %s' % inverse_ctl)
1392         else:
1393             print('\tInverse ctl                : %s' % 'None')
1394
1395     print('\n')
1396
1397     return odts
1398
1399
1400 def get_LMTs_info(aces_ctl_directory):
1401     """
1402     Object description.
1403
1404     For versions after WGR9.
1405
1406     Parameters
1407     ----------
1408     parameter : type
1409         Parameter description.
1410
1411     Returns
1412     -------
1413     type
1414          Return value description.
1415     """
1416
1417     # TODO: Investigate refactoring with previous definition.
1418
1419     # Credit to Alex Fry for the original approach here
1420     lmt_dir = os.path.join(aces_ctl_directory, 'lmt')
1421     all_lmt = []
1422     for dir_name, subdir_list, file_list in os.walk(lmt_dir):
1423         for fname in file_list:
1424             all_lmt.append((os.path.join(dir_name, fname)))
1425
1426     lmt_ctls = [x for x in all_lmt if
1427                 ('InvLMT' not in x) and ('README' not in x) and (
1428                     os.path.split(x)[-1][0] != '.')]
1429
1430     lmts = {}
1431
1432     for lmt_ctl in lmt_ctls:
1433         lmt_tokens = os.path.split(lmt_ctl)
1434
1435         # Handlimg nested directories.
1436         lmt_path_tokens = os.path.split(lmt_tokens[-2])
1437         lmt_dir = lmt_path_tokens[-1]
1438         while lmt_path_tokens[-2][-3:] != 'ctl':
1439             lmt_path_tokens = os.path.split(lmt_path_tokens[-2])
1440             lmt_dir = os.path.join(lmt_path_tokens[-1], lmt_dir)
1441
1442         # Building full name.
1443         transform_ctl = lmt_tokens[-1]
1444         lmt_name = string.join(transform_ctl.split('.')[1:-1], '.')
1445
1446         # Finding id, user name and user name prefix.
1447         (transform_id,
1448          transform_user_name,
1449          transform_user_name_prefix,
1450          transform_full_legal_switch) = get_transform_info(
1451             os.path.join(aces_ctl_directory, lmt_dir, transform_ctl))
1452
1453         # Finding inverse.
1454         transform_ctl_inverse = 'InvLMT.%s.ctl' % lmt_name
1455         if not os.path.exists(
1456                 os.path.join(lmt_tokens[-2], transform_ctl_inverse)):
1457             transform_ctl_inverse = None
1458
1459         lmts[lmt_name] = {}
1460         lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_ctl)
1461         if transform_ctl_inverse is not None:
1462             lmts[lmt_name]['transformCTLInverse'] = os.path.join(
1463                 lmt_dir, transform_ctl_inverse)
1464
1465         lmts[lmt_name]['transformID'] = transform_id
1466         lmts[lmt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1467         lmts[lmt_name]['transformUserName'] = transform_user_name
1468
1469         forward_ctl = lmts[lmt_name]['transformCTL']
1470
1471         print('LMT : %s' % lmt_name)
1472         print('\tTransform ID               : %s' % transform_id)
1473         print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1474         print('\tTransform User Name        : %s' % transform_user_name)
1475         print('\t Forward ctl               : %s' % forward_ctl)
1476         if 'transformCTLInverse' in lmts[lmt_name]:
1477             inverse_ctl = lmts[lmt_name]['transformCTLInverse']
1478             print('\t Inverse ctl                : %s' % inverse_ctl)
1479         else:
1480             print('\t Inverse ctl                : %s' % 'None')
1481
1482     print('\n')
1483
1484     return lmts
1485
1486
1487 def create_colorspaces(aces_ctl_directory,
1488                        lut_directory,
1489                        lut_resolution_1d,
1490                        lut_resolution_3d,
1491                        lmt_info,
1492                        odt_info,
1493                        shaper_name,
1494                        cleanup):
1495     """
1496     Generates the colorspace conversions.
1497
1498     Parameters
1499     ----------
1500     parameter : type
1501         Parameter description.
1502
1503     Returns
1504     -------
1505     type
1506          Return value description.
1507     """
1508
1509     colorspaces = []
1510
1511     ACES = create_ACES()
1512
1513     ACEScc = create_ACEScc(aces_ctl_directory, lut_directory,
1514                            lut_resolution_1d, cleanup,
1515                            min_value=-0.35840, max_value=1.468)
1516     colorspaces.append(ACEScc)
1517
1518     ACESproxy = create_ACESproxy(aces_ctl_directory, lut_directory,
1519                                  lut_resolution_1d, cleanup)
1520     colorspaces.append(ACESproxy)
1521
1522     ACEScg = create_ACEScg()
1523     colorspaces.append(ACEScg)
1524
1525     ADX10 = create_ADX(lut_directory, bit_depth=10)
1526     colorspaces.append(ADX10)
1527
1528     ADX16 = create_ADX(lut_directory, bit_depth=16)
1529     colorspaces.append(ADX16)
1530
1531     lmts = create_LMTs(aces_ctl_directory,
1532                        lut_directory,
1533                        lut_resolution_1d,
1534                        lut_resolution_3d,
1535                        lmt_info,
1536                        cleanup)
1537     colorspaces.extend(lmts)
1538
1539     odts, displays = create_ODTs(aces_ctl_directory,
1540                                  lut_directory,
1541                                  lut_resolution_1d,
1542                                  lut_resolution_3d,
1543                                  odt_info,
1544                                  shaper_name,
1545                                  cleanup,
1546                                  ACES,
1547                                  ACEScc)
1548     colorspaces.extend(odts)
1549
1550     # TODO: Investigate if there is a way to retrieve the value from *CTL*.
1551     default_display = 'sRGB (D60 sim.)'
1552
1553     roles = {'color_picking': ACEScg.name,
1554              'color_timing': ACEScc.name,
1555              'compositing_log': ACEScc.name,
1556              'data': '',
1557              'default': ACES.name,
1558              'matte_paint': ACEScc.name,
1559              'reference': '',
1560              'scene_linear': ACEScg.name,
1561              'texture_paint': ''}
1562
1563     return ACES, colorspaces, displays, ACEScc, roles, default_display