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.generate_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_XYZ',
  38            'create_ACES',
  39            'create_ACEScc',
  40            'create_ACESproxy',
  41            'create_ACEScg',
  42            'create_ADX',
  43            'create_ACES_LMT',
  44            'create_ACES_RRT_plus_ODT',
  45            'create_generic_log',
  46            'create_LMTs',
  47            'create_ODTs',
  48            'get_transform_info',
  49            'get_ODTs_info',
  50            'get_LMTs_info',
  51            'create_colorspaces']
  52
  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]
  57
  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]
  62
  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]
  67
  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]
  72
  73
  74 def create_ACES():
  75     """
  76     Object description.
  77
  78     Parameters
  79     ----------
  80     parameter : type
  81         Parameter description.
  82
  83     Returns
  84     -------
  85     type
  86          Return value description.
  87     """
  88
  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]
  99
 100     return aces2065_1
 101
 102
 103 def create_ACEScc(aces_ctl_directory,
 104                   lut_directory,
 105                   lut_resolution_1d,
 106                   cleanup,
 107                   name='ACEScc',
 108                   min_value=0,
 109                   max_value=1,
 110                   input_scale=1):
 111     """
 112     Creates the *ACEScc* colorspace.
 113
 114     Parameters
 115     ----------
 116     parameter : type
 117         Parameter description.
 118
 119     Returns
 120     -------
 121     Colorspace
 122          *ACEScc* colorspace.
 123     """
 124
 125     cs = ColorSpace(name)
 126     cs.description = 'The %s color space' % name
 127     cs.aliases = ['acescc', 'acescc_ap1']
 128     cs.equality_group = ''
 129     cs.family = 'ACES'
 130     cs.is_data = False
 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'
 134
 135     ctls = [os.path.join(aces_ctl_directory,
 136                          'ACEScc',
 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,
 142                          'ACEScg',
 143                          'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
 144     lut = '%s_to_linear.spi1d' % name
 145
 146     lut = sanitize(lut)
 147
 148     generate_1d_LUT_from_CTL(
 149         os.path.join(lut_directory, lut),
 150         ctls,
 151         lut_resolution_1d,
 152         'float',
 153         input_scale,
 154         1,
 155         {},
 156         cleanup,
 157         aces_ctl_directory,
 158         min_value,
 159         max_value,
 160         1)
 161
 162     cs.to_reference_transforms = []
 163     cs.to_reference_transforms.append({
 164         'type': 'lutFile',
 165         'path': lut,
 166         'interpolation': 'linear',
 167         'direction': 'forward'})
 168
 169     # *AP1* primaries to *AP0* primaries
 170     cs.to_reference_transforms.append({
 171         'type': 'matrix',
 172         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 173         'direction': 'forward'})
 174
 175     cs.from_reference_transforms = []
 176     return cs
 177
 178
 179 def create_ACESproxy(aces_ctl_directory,
 180                      lut_directory,
 181                      lut_resolution_1d,
 182                      cleanup,
 183                      name='ACESproxy'):
 184     """
 185     Creates the *ACESproxy* colorspace.
 186
 187     Parameters
 188     ----------
 189     parameter : type
 190         Parameter description.
 191
 192     Returns
 193     -------
 194     Colorspace
 195          *ACESproxy* colorspace.
 196     """
 197
 198     cs = ColorSpace(name)
 199     cs.description = 'The %s color space' % name
 200     cs.aliases = ['acesproxy', 'acesproxy_ap1']
 201     cs.equality_group = ''
 202     cs.family = 'ACES'
 203     cs.is_data = False
 204
 205     cs.aces_transform_id = 'ACEScsc.ACESproxy10i_to_ACES.a1.0.0'
 206
 207     ctls = [os.path.join(aces_ctl_directory,
 208                          'ACESproxy',
 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,
 214                          'ACEScg',
 215                          'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
 216     lut = '%s_to_linear.spi1d' % name
 217
 218     lut = sanitize(lut)
 219
 220     generate_1d_LUT_from_CTL(
 221         os.path.join(lut_directory, lut),
 222         ctls,
 223         lut_resolution_1d,
 224         'float',
 225         1,
 226         1,
 227         {},
 228         cleanup,
 229         aces_ctl_directory,
 230         0,
 231         1,
 232         1)
 233
 234     cs.to_reference_transforms = []
 235     cs.to_reference_transforms.append({
 236         'type': 'lutFile',
 237         'path': lut,
 238         'interpolation': 'linear',
 239         'direction': 'forward'})
 240
 241     # *AP1* primaries to *AP0* primaries
 242     cs.to_reference_transforms.append({
 243         'type': 'matrix',
 244         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 245         'direction': 'forward'})
 246
 247     cs.from_reference_transforms = []
 248     return cs
 249
 250
 251 # -------------------------------------------------------------------------
 252 # *ACEScg*
 253 # -------------------------------------------------------------------------
 254 def create_ACEScg():
 255     """
 256     Creates the *ACEScg* colorspace.
 257
 258     Parameters
 259     ----------
 260     parameter : type
 261         Parameter description.
 262
 263     Returns
 264     -------
 265     Colorspace
 266          *ACEScg* colorspace.
 267     """
 268
 269     name = 'ACEScg'
 270
 271     cs = ColorSpace(name)
 272     cs.description = 'The %s color space' % name
 273     cs.aliases = ['acescg', 'lin_ap1']
 274     cs.equality_group = ''
 275     cs.family = 'ACES'
 276     cs.is_data = False
 277     cs.allocation_type = ocio.Constants.ALLOCATION_LG2
 278     cs.allocation_vars = [-8, 5, 0.00390625]
 279
 280     cs.aces_transform_id = 'ACEScsc.ACEScg_to_ACES.a1.0.0'
 281
 282     cs.to_reference_transforms = []
 283
 284     # *AP1* primaries to *AP0* primaries
 285     cs.to_reference_transforms.append({
 286         'type': 'matrix',
 287         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 288         'direction': 'forward'})
 289
 290     cs.from_reference_transforms = []
 291
 292     # *AP1* primaries to *AP0* primaries
 293     cs.from_reference_transforms.append({
 294         'type': 'matrix',
 295         'matrix': mat44_from_mat33(ACES_AP0_TO_AP1),
 296         'direction': 'forward'})
 297
 298     return cs
 299
 300
 301 # -------------------------------------------------------------------------
 302 # *ADX*
 303 # -------------------------------------------------------------------------
 304 def create_ADX(lut_directory,
 305                bit_depth=10,
 306                name='ADX'):
 307     """
 308     Creates the *ADX* colorspace.
 309
 310     Parameters
 311     ----------
 312     parameter : type
 313         Parameter description.
 314
 315     Returns
 316     -------
 317     Colorspace
 318          *ADX* colorspace.
 319     """
 320
 321     name = '%s%s' % (name, bit_depth)
 322     cs = ColorSpace(name)
 323     cs.description = '%s color space - used for film scans' % name
 324     cs.aliases = ['adx%s' % str(bit_depth)]
 325     cs.equality_group = ''
 326     cs.family = 'ADX'
 327     cs.is_data = False
 328
 329     if bit_depth == 10:
 330         cs.aces_transform_id = 'ACEScsc.ADX10_to_ACES.a1.0.0'
 331
 332         cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT10
 333         ADX_to_CDD = [1023 / 500, 0, 0, 0,
 334                       0, 1023 / 500, 0, 0,
 335                       0, 0, 1023 / 500, 0,
 336                       0, 0, 0, 1]
 337         offset = [-95 / 500, -95 / 500, -95 / 500, 0]
 338     elif bit_depth == 16:
 339         cs.aces_transform_id = 'ACEScsc.ADX16_to_ACES.a1.0.0'
 340
 341         cs.bit_depth = ocio.Constants.BIT_DEPTH_UINT16
 342         ADX_to_CDD = [65535 / 8000, 0, 0, 0,
 343                       0, 65535 / 8000, 0, 0,
 344                       0, 0, 65535 / 8000, 0,
 345                       0, 0, 0, 1]
 346         offset = [-1520 / 8000, -1520 / 8000, -1520 / 8000, 0]
 347
 348     cs.to_reference_transforms = []
 349
 350     # Converting from *ADX* to *Channel-Dependent Density*.
 351     cs.to_reference_transforms.append({
 352         'type': 'matrix',
 353         'matrix': ADX_to_CDD,
 354         'offset': offset,
 355         'direction': 'forward'})
 356
 357     # Converting from *Channel-Dependent Density* to
 358     # *Channel-Independent Density*.
 359     cs.to_reference_transforms.append({
 360         'type': 'matrix',
 361         'matrix': [0.75573, 0.22197, 0.02230, 0,
 362                    0.05901, 0.96928, -0.02829, 0,
 363                    0.16134, 0.07406, 0.76460, 0,
 364                    0, 0, 0, 1],
 365         'direction': 'forward'})
 366
 367     # Copied from *Alex Fry*'s *adx_cid_to_rle.py*
 368     def create_CID_to_RLE_LUT():
 369
 370         def interpolate_1d(x, xp, fp):
 371             return numpy.interp(x, xp, fp)
 372
 373         LUT_1D_XP = [-0.190000000000000,
 374                      0.010000000000000,
 375                      0.028000000000000,
 376                      0.054000000000000,
 377                      0.095000000000000,
 378                      0.145000000000000,
 379                      0.220000000000000,
 380                      0.300000000000000,
 381                      0.400000000000000,
 382                      0.500000000000000,
 383                      0.600000000000000]
 384
 385         LUT_1D_FP = [-6.000000000000000,
 386                      -2.721718645000000,
 387                      -2.521718645000000,
 388                      -2.321718645000000,
 389                      -2.121718645000000,
 390                      -1.921718645000000,
 391                      -1.721718645000000,
 392                      -1.521718645000000,
 393                      -1.321718645000000,
 394                      -1.121718645000000,
 395                      -0.926545676714876]
 396
 397         REF_PT = ((7120 - 1520) / 8000 * (100 / 55) -
 398                   math.log(0.18, 10))
 399
 400         def cid_to_rle(x):
 401             if x <= 0.6:
 402                 return interpolate_1d(x, LUT_1D_XP, LUT_1D_FP)
 403             return (100 / 55) * x - REF_PT
 404
 405         def fit(value, from_min, from_max, to_min, to_max):
 406             if from_min == from_max:
 407                 raise ValueError('from_min == from_max')
 408             return (value - from_min) / (from_max - from_min) * (
 409                 to_max - to_min) + to_min
 410
 411         num_samples = 2 ** 12
 412         domain = (-0.19, 3)
 413         data = []
 414         for i in xrange(num_samples):
 415             x = i / (num_samples - 1)
 416             x = fit(x, 0, 1, domain[0], domain[1])
 417             data.append(cid_to_rle(x))
 418
 419         lut = 'ADX_CID_to_RLE.spi1d'
 420         write_SPI_1d(os.path.join(lut_directory, lut),
 421                      domain[0],
 422                      domain[1],
 423                      data,
 424                      num_samples, 1)
 425
 426         return lut
 427
 428     # Converting *Channel Independent Density* values to
 429     # *Relative Log Exposure* values.
 430     lut = create_CID_to_RLE_LUT()
 431     cs.to_reference_transforms.append({
 432         'type': 'lutFile',
 433         'path': lut,
 434         'interpolation': 'linear',
 435         'direction': 'forward'})
 436
 437     # Converting *Relative Log Exposure* values to
 438     # *Relative Exposure* values.
 439     cs.to_reference_transforms.append({
 440         'type': 'log',
 441         'base': 10,
 442         'direction': 'inverse'})
 443
 444     # Convert *Relative Exposure* values to *ACES* values.
 445     cs.to_reference_transforms.append({
 446         'type': 'matrix',
 447         'matrix': [0.72286, 0.12630, 0.15084, 0,
 448                    0.11923, 0.76418, 0.11659, 0,
 449                    0.01427, 0.08213, 0.90359, 0,
 450                    0, 0, 0, 1],
 451         'direction': 'forward'})
 452
 453     cs.from_reference_transforms = []
 454     return cs
 455
 456
 457 # -------------------------------------------------------------------------
 458 # Generic *Log* Transform
 459 # -------------------------------------------------------------------------
 460 def create_generic_log(aces_ctl_directory,
 461                        lut_directory,
 462                        lut_resolution_1d,
 463                        cleanup,
 464                        name='log',
 465                        aliases=None,
 466                        min_value=0,
 467                        max_value=1,
 468                        input_scale=1,
 469                        middle_grey=0.18,
 470                        min_exposure=-6,
 471                        max_exposure=6.5):
 472     """
 473     Creates the *Generic Log* colorspace.
 474
 475     Parameters
 476     ----------
 477     parameter : type
 478         Parameter description.
 479
 480     Returns
 481     -------
 482     Colorspace
 483          *Generic Log* colorspace.
 484     """
 485
 486     if aliases is None:
 487         aliases = []
 488
 489     cs = ColorSpace(name)
 490     cs.description = 'The %s color space' % name
 491     cs.aliases = aliases
 492     cs.equality_group = name
 493     cs.family = 'Utility'
 494     cs.is_data = False
 495
 496     ctls = [os.path.join(
 497         aces_ctl_directory,
 498         'utilities',
 499         'ACESlib.Log2_to_Lin_param.a1.0.0.ctl')]
 500     lut = '%s_to_linear.spi1d' % name
 501
 502     lut = sanitize(lut)
 503
 504     generate_1d_LUT_from_CTL(
 505         os.path.join(lut_directory, lut),
 506         ctls,
 507         lut_resolution_1d,
 508         'float',
 509         input_scale,
 510         1,
 511         {'middleGrey': middle_grey,
 512          'minExposure': min_exposure,
 513          'maxExposure': max_exposure},
 514         cleanup,
 515         aces_ctl_directory,
 516         min_value,
 517         max_value,
 518         1)
 519
 520     cs.to_reference_transforms = []
 521     cs.to_reference_transforms.append({
 522         'type': 'lutFile',
 523         'path': lut,
 524         'interpolation': 'linear',
 525         'direction': 'forward'})
 526
 527     cs.from_reference_transforms = []
 528     return cs
 529
 530
 531 # -------------------------------------------------------------------------
 532 # Base *Dolby PQ* Transform
 533 # -------------------------------------------------------------------------
 534 def create_Dolby_PQ(aces_ctl_directory,
 535                     lut_directory,
 536                     lut_resolution_1d,
 537                     cleanup,
 538                     name='pq',
 539                     aliases=None,
 540                     min_value=0.0,
 541                     max_value=1.0,
 542                     input_scale=1.0):
 543     if aliases is None:
 544         aliases = []
 545
 546     cs = ColorSpace(name)
 547     cs.description = 'The %s color space' % name
 548     cs.aliases = aliases
 549     cs.equality_group = name
 550     cs.family = 'Utility'
 551     cs.is_data = False
 552
 553     ctls = [os.path.join(
 554         aces_ctl_directory,
 555         'utilities',
 556         'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl')]
 557     lut = '%s_to_linear.spi1d' % name
 558
 559     lut = sanitize(lut)
 560
 561     generate_1d_LUT_from_CTL(
 562         os.path.join(lut_directory, lut),
 563         ctls,
 564         lut_resolution_1d,
 565         'float',
 566         input_scale,
 567         1.0,
 568         {},
 569         cleanup,
 570         aces_ctl_directory,
 571         min_value,
 572         max_value)
 573
 574     cs.to_reference_transforms = []
 575     cs.to_reference_transforms.append({
 576         'type': 'lutFile',
 577         'path': lut,
 578         'interpolation': 'linear',
 579         'direction': 'forward'})
 580
 581     cs.from_reference_transforms = []
 582     return cs
 583
 584
 585 # -------------------------------------------------------------------------
 586 # *Dolby PQ* Transform - Fixed Linear Range
 587 # -------------------------------------------------------------------------
 588 def create_Dolby_PQ_scaled(aces_ctl_directory,
 589                            lut_directory,
 590                            lut_resolution_1d,
 591                            cleanup,
 592                            name='pq',
 593                            aliases=None,
 594                            min_value=0.0,
 595                            max_value=1.0,
 596                            input_scale=1.0,
 597                            middle_grey=0.18,
 598                            min_exposure=-6.0,
 599                            max_exposure=6.5):
 600     if aliases is None:
 601         aliases = []
 602
 603     cs = ColorSpace(name)
 604     cs.description = 'The %s color space' % name
 605     cs.aliases = aliases
 606     cs.equality_group = name
 607     cs.family = 'Utility'
 608     cs.is_data = False
 609
 610     ctls = [os.path.join(
 611         aces_ctl_directory,
 612         'utilities',
 613         'ACESlib.DolbyPQ_to_lin_param.a1.0.0.ctl')]
 614     lut = '%s_to_linear.spi1d' % name
 615
 616     lut = sanitize(lut)
 617
 618     generate_1d_LUT_from_CTL(
 619         os.path.join(lut_directory, lut),
 620         ctls,
 621         lut_resolution_1d,
 622         'float',
 623         input_scale,
 624         1.0,
 625         {'middleGrey': middle_grey,
 626          'minExposure': min_exposure,
 627          'maxExposure': max_exposure},
 628         cleanup,
 629         aces_ctl_directory,
 630         min_value,
 631         max_value)
 632
 633     cs.to_reference_transforms = []
 634     cs.to_reference_transforms.append({
 635         'type': 'lutFile',
 636         'path': lut,
 637         'interpolation': 'linear',
 638         'direction': 'forward'})
 639
 640     cs.from_reference_transforms = []
 641     return cs
 642
 643
 644 # -------------------------------------------------------------------------
 645 # Individual *LMT*
 646 # -------------------------------------------------------------------------
 647 def create_ACES_LMT(lmt_name,
 648                     lmt_values,
 649                     shaper_info,
 650                     aces_ctl_directory,
 651                     lut_directory,
 652                     lut_resolution_3d=64,
 653                     cleanup=True,
 654                     aliases=None):
 655     """
 656     Creates the *ACES LMT* colorspace.
 657
 658     Parameters
 659     ----------
 660     parameter : type
 661         Parameter description.
 662
 663     Returns
 664     -------
 665     Colorspace
 666          *ACES LMT* colorspace.
 667     """
 668
 669     if aliases is None:
 670         aliases = []
 671
 672     cs = ColorSpace('%s' % lmt_name)
 673     cs.description = 'The ACES Look Transform: %s' % lmt_name
 674     cs.aliases = aliases
 675     cs.equality_group = ''
 676     cs.family = 'Look'
 677     cs.is_data = False
 678     cs.allocation_type = ocio.Constants.ALLOCATION_LG2
 679     cs.allocation_vars = [-8, 5, 0.00390625]
 680     cs.aces_transform_id = lmt_values['transformID']
 681
 682     pprint.pprint(lmt_values)
 683
 684     # Generating the *shaper* transform.
 685     (shaper_name,
 686      shaper_to_aces_ctl,
 687      shaper_from_aces_ctl,
 688      shaper_input_scale,
 689      shaper_params) = shaper_info
 690
 691     shaper_lut = '%s_to_linear.spi1d' % shaper_name
 692     shaper_lut = sanitize(shaper_lut)
 693
 694     shaper_ocio_transform = {
 695         'type': 'lutFile',
 696         'path': shaper_lut,
 697         'interpolation': 'linear',
 698         'direction': 'inverse'}
 699
 700     # Generating the forward transform.
 701     cs.from_reference_transforms = []
 702
 703     if 'transformCTL' in lmt_values:
 704         ctls = [shaper_to_aces_ctl % aces_ctl_directory,
 705                 os.path.join(aces_ctl_directory,
 706                              lmt_values['transformCTL'])]
 707         lut = '%s.%s.spi3d' % (shaper_name, lmt_name)
 708
 709         lut = sanitize(lut)
 710
 711         generate_3d_LUT_from_CTL(
 712             os.path.join(lut_directory, lut),
 713             ctls,
 714             lut_resolution_3d,
 715             'float',
 716             1 / shaper_input_scale,
 717             1,
 718             shaper_params,
 719             cleanup,
 720             aces_ctl_directory)
 721
 722         cs.from_reference_transforms.append(shaper_ocio_transform)
 723         cs.from_reference_transforms.append({
 724             'type': 'lutFile',
 725             'path': lut,
 726             'interpolation': 'tetrahedral',
 727             'direction': 'forward'})
 728
 729     # Generating the inverse transform.
 730     cs.to_reference_transforms = []
 731
 732     if 'transformCTLInverse' in lmt_values:
 733         ctls = [os.path.join(aces_ctl_directory,
 734                              lmt_values['transformCTLInverse']),
 735                 shaper_from_aces_ctl % aces_ctl_directory]
 736         # TODO: Investigate unresolved `odt_name` reference.
 737         lut = 'Inverse.%s.%s.spi3d' % (odt_name, shaper_name)
 738
 739         lut = sanitize(lut)
 740
 741         generate_3d_LUT_from_CTL(
 742             os.path.join(lut_directory, lut),
 743             ctls,
 744             lut_resolution_3d,
 745             'half',
 746             1,
 747             shaper_input_scale,
 748             shaper_params,
 749             cleanup,
 750             aces_ctl_directory,
 751             0)
 752
 753         cs.to_reference_transforms.append({
 754             'type': 'lutFile',
 755             'path': lut,
 756             'interpolation': 'tetrahedral',
 757             'direction': 'forward'})
 758
 759         shaper_inverse = shaper_ocio_transform.copy()
 760         shaper_inverse['direction'] = 'forward'
 761         cs.to_reference_transforms.append(shaper_inverse)
 762
 763     return cs
 764
 765
 766 # -------------------------------------------------------------------------
 767 # *LMTs*
 768 # -------------------------------------------------------------------------
 769 def create_LMTs(aces_ctl_directory,
 770                 lut_directory,
 771                 lut_resolution_1d,
 772                 lut_resolution_3d,
 773                 lmt_info,
 774                 cleanup):
 775     """
 776     Object description.
 777
 778     Parameters
 779     ----------
 780     parameter : type
 781         Parameter description.
 782
 783     Returns
 784     -------
 785     type
 786          Return value description.
 787     """
 788
 789     colorspaces = []
 790
 791     # -------------------------------------------------------------------------
 792     # *LMT Shaper*
 793     # -------------------------------------------------------------------------
 794     lmt_lut_resolution_1d = max(4096, lut_resolution_1d)
 795     lmt_lut_resolution_3d = max(65, lut_resolution_3d)
 796
 797     # Defining the *Log 2* shaper.
 798     lmt_shaper_name = 'LMT Shaper'
 799     lmt_shaper_name_aliases = ['crv_lmtshaper']
 800     lmt_params = {
 801         'middleGrey': 0.18,
 802         'minExposure': -10,
 803         'maxExposure': 6.5}
 804
 805     lmt_shaper = create_generic_log(aces_ctl_directory,
 806                                     lut_directory,
 807                                     lmt_lut_resolution_1d,
 808                                     cleanup,
 809                                     name=lmt_shaper_name,
 810                                     middle_grey=lmt_params['middleGrey'],
 811                                     min_exposure=lmt_params['minExposure'],
 812                                     max_exposure=lmt_params['maxExposure'],
 813                                     aliases=lmt_shaper_name_aliases)
 814     colorspaces.append(lmt_shaper)
 815
 816     shaper_input_scale_generic_log2 = 1
 817
 818     # *Log 2* shaper name and *CTL* transforms bundled up.
 819     lmt_shaper_data = [
 820         lmt_shaper_name,
 821         os.path.join('%s',
 822                      'utilities',
 823                      'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
 824         os.path.join('%s',
 825                      'utilities',
 826                      'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
 827         shaper_input_scale_generic_log2,
 828         lmt_params]
 829
 830     sorted_lmts = sorted(lmt_info.iteritems(), key=lambda x: x[1])
 831     print(sorted_lmts)
 832     for lmt in sorted_lmts:
 833         lmt_name, lmt_values = lmt
 834         lmt_aliases = ['look_%s' % compact(lmt_values['transformUserName'])]
 835         cs = create_ACES_LMT(
 836             lmt_values['transformUserName'],
 837             lmt_values,
 838             lmt_shaper_data,
 839             aces_ctl_directory,
 840             lut_directory,
 841             lmt_lut_resolution_3d,
 842             cleanup,
 843             lmt_aliases)
 844         colorspaces.append(cs)
 845
 846     return colorspaces
 847
 848
 849 # -------------------------------------------------------------------------
 850 # *ACES RRT* with supplied *ODT*.
 851 # -------------------------------------------------------------------------
 852 def create_ACES_RRT_plus_ODT(odt_name,
 853                              odt_values,
 854                              shaper_info,
 855                              aces_ctl_directory,
 856                              lut_directory,
 857                              lut_resolution_3d=64,
 858                              cleanup=True,
 859                              aliases=None):
 860     """
 861     Object description.
 862
 863     Parameters
 864     ----------
 865     parameter : type
 866         Parameter description.
 867
 868     Returns
 869     -------
 870     type
 871          Return value description.
 872     """
 873
 874     if aliases is None:
 875         aliases = []
 876
 877     cs = ColorSpace('%s' % odt_name)
 878     cs.description = '%s - %s Output Transform' % (
 879         odt_values['transformUserNamePrefix'], odt_name)
 880     cs.aliases = aliases
 881     cs.equality_group = ''
 882     cs.family = 'Output'
 883     cs.is_data = False
 884
 885     cs.aces_transform_id = odt_values['transformID']
 886
 887     pprint.pprint(odt_values)
 888
 889     # Generating the *shaper* transform.
 890     (shaper_name,
 891      shaper_to_aces_ctl,
 892      shaper_from_aces_ctl,
 893      shaper_input_scale,
 894      shaper_params) = shaper_info
 895
 896     if 'legalRange' in odt_values:
 897         shaper_params['legalRange'] = odt_values['legalRange']
 898     else:
 899         shaper_params['legalRange'] = 0
 900
 901     shaper_lut = '%s_to_linear.spi1d' % shaper_name
 902     shaper_lut = sanitize(shaper_lut)
 903
 904     shaper_ocio_transform = {
 905         'type': 'lutFile',
 906         'path': shaper_lut,
 907         'interpolation': 'linear',
 908         'direction': 'inverse'}
 909
 910     # Generating the *forward* transform.
 911     cs.from_reference_transforms = []
 912
 913     if 'transformLUT' in odt_values:
 914         transform_lut_file_name = os.path.basename(
 915             odt_values['transformLUT'])
 916         lut = os.path.join(lut_directory, transform_lut_file_name)
 917         shutil.copy(odt_values['transformLUT'], lut)
 918
 919         cs.from_reference_transforms.append(shaper_ocio_transform)
 920         cs.from_reference_transforms.append({
 921             'type': 'lutFile',
 922             'path': transform_lut_file_name,
 923             'interpolation': 'tetrahedral',
 924             'direction': 'forward'})
 925     elif 'transformCTL' in odt_values:
 926         ctls = [
 927             shaper_to_aces_ctl % aces_ctl_directory,
 928             os.path.join(aces_ctl_directory,
 929                          'rrt',
 930                          'RRT.a1.0.0.ctl'),
 931             os.path.join(aces_ctl_directory,
 932                          'odt',
 933                          odt_values['transformCTL'])]
 934         lut = '%s.RRT.a1.0.0.%s.spi3d' % (shaper_name, odt_name)
 935
 936         lut = sanitize(lut)
 937
 938         generate_3d_LUT_from_CTL(
 939             os.path.join(lut_directory, lut),
 940             ctls,
 941             lut_resolution_3d,
 942             'float',
 943             1 / shaper_input_scale,
 944             1,
 945             shaper_params,
 946             cleanup,
 947             aces_ctl_directory)
 948
 949         cs.from_reference_transforms.append(shaper_ocio_transform)
 950         cs.from_reference_transforms.append({
 951             'type': 'lutFile',
 952             'path': lut,
 953             'interpolation': 'tetrahedral',
 954             'direction': 'forward'})
 955
 956     # Generating the *inverse* transform.
 957     cs.to_reference_transforms = []
 958
 959     if 'transformLUTInverse' in odt_values:
 960         transform_lut_inverse_file_name = os.path.basename(
 961             odt_values['transformLUTInverse'])
 962         lut = os.path.join(lut_directory, transform_lut_inverse_file_name)
 963         shutil.copy(odt_values['transformLUTInverse'], lut)
 964
 965         cs.to_reference_transforms.append({
 966             'type': 'lutFile',
 967             'path': transform_lut_inverse_file_name,
 968             'interpolation': 'tetrahedral',
 969             'direction': 'forward'})
 970
 971         shaper_inverse = shaper_ocio_transform.copy()
 972         shaper_inverse['direction'] = 'forward'
 973         cs.to_reference_transforms.append(shaper_inverse)
 974     elif 'transformCTLInverse' in odt_values:
 975         ctls = [os.path.join(aces_ctl_directory,
 976                              'odt',
 977                              odt_values['transformCTLInverse']),
 978                 os.path.join(aces_ctl_directory,
 979                              'rrt',
 980                              'InvRRT.a1.0.0.ctl'),
 981                 shaper_from_aces_ctl % aces_ctl_directory]
 982         lut = 'InvRRT.a1.0.0.%s.%s.spi3d' % (odt_name, shaper_name)
 983
 984         lut = sanitize(lut)
 985
 986         generate_3d_LUT_from_CTL(
 987             os.path.join(lut_directory, lut),
 988             ctls,
 989             lut_resolution_3d,
 990             'half',
 991             1,
 992             shaper_input_scale,
 993             shaper_params,
 994             cleanup,
 995             aces_ctl_directory)
 996
 997         cs.to_reference_transforms.append({
 998             'type': 'lutFile',
 999             'path': lut,
1000             'interpolation': 'tetrahedral',
1001             'direction': 'forward'})
1002
1003         shaper_inverse = shaper_ocio_transform.copy()
1004         shaper_inverse['direction'] = 'forward'
1005         cs.to_reference_transforms.append(shaper_inverse)
1006
1007     return cs
1008
1009
1010 # -------------------------------------------------------------------------
1011 # *ODTs*
1012 # -------------------------------------------------------------------------
1013 def create_ODTs(aces_ctl_directory,
1014                 lut_directory,
1015                 lut_resolution_1d,
1016                 lut_resolution_3d,
1017                 odt_info,
1018                 shaper_name,
1019                 cleanup,
1020                 linear_display_space,
1021                 log_display_space):
1022     """
1023     Object description.
1024
1025     Parameters
1026     ----------
1027     parameter : type
1028         Parameter description.
1029
1030     Returns
1031     -------
1032     type
1033          Return value description.
1034     """
1035
1036     colorspaces = []
1037     displays = {}
1038
1039     # -------------------------------------------------------------------------
1040     # *RRT / ODT* Shaper Options
1041     # -------------------------------------------------------------------------
1042     shaper_data = {}
1043
1044     # Defining the *Log 2* shaper.
1045     log2_shaper_name = shaper_name
1046     log2_shaper_name_aliases = ['crv_%s' % compact(log2_shaper_name)]
1047     log2_params = {
1048         'middleGrey': 0.18,
1049         'minExposure': -6,
1050         'maxExposure': 6.5}
1051
1052     log2_shaper_colorspace = create_generic_log(
1053         aces_ctl_directory,
1054         lut_directory,
1055         lut_resolution_1d,
1056         cleanup,
1057         name=log2_shaper_name,
1058         middle_grey=log2_params['middleGrey'],
1059         min_exposure=log2_params['minExposure'],
1060         max_exposure=log2_params['maxExposure'],
1061         aliases=log2_shaper_name_aliases)
1062     colorspaces.append(log2_shaper_colorspace)
1063
1064     shaper_input_scale_generic_log2 = 1
1065
1066     # *Log 2* shaper name and *CTL* transforms bundled up.
1067     log2_shaper_data = [
1068         log2_shaper_name,
1069         os.path.join('%s',
1070                      'utilities',
1071                      'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
1072         os.path.join('%s',
1073                      'utilities',
1074                      'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
1075         shaper_input_scale_generic_log2,
1076         log2_params]
1077
1078     shaper_data[log2_shaper_name] = log2_shaper_data
1079
1080     # Space with a more user-friendly name. Direct copy otherwise.
1081     log2_shaper_copy_name = 'Log2 Shaper'
1082     log2_shaper_copy_colorspace = ColorSpace(log2_shaper_copy_name)
1083     log2_shaper_copy_colorspace.description = (
1084         'The %s color space' % log2_shaper_copy_name)
1085     log2_shaper_copy_colorspace.aliases = [
1086         'crv_%s' % compact(log2_shaper_copy_name)]
1087     log2_shaper_copy_colorspace.equality_group = log2_shaper_copy_name
1088     log2_shaper_copy_colorspace.family = log2_shaper_colorspace.family
1089     log2_shaper_copy_colorspace.is_data = log2_shaper_colorspace.is_data
1090     log2_shaper_copy_colorspace.to_reference_transforms = list(
1091         log2_shaper_colorspace.to_reference_transforms)
1092     log2_shaper_copy_colorspace.from_reference_transforms = list(
1093         log2_shaper_colorspace.from_reference_transforms)
1094     colorspaces.append(log2_shaper_copy_colorspace)
1095
1096     # Defining the *Log2 shaper that includes the AP1* primaries.
1097     log2_shaper_api1_name = '%s - AP1' % 'Log2 Shaper'
1098     log2_shaper_api1_colorspace = ColorSpace(log2_shaper_api1_name)
1099     log2_shaper_api1_colorspace.description = (
1100         'The %s color space' % log2_shaper_api1_name)
1101     log2_shaper_api1_colorspace.aliases = [
1102         '%s_ap1' % compact(log2_shaper_copy_name)]
1103     log2_shaper_api1_colorspace.equality_group = log2_shaper_api1_name
1104     log2_shaper_api1_colorspace.family = log2_shaper_colorspace.family
1105     log2_shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1106     log2_shaper_api1_colorspace.to_reference_transforms = list(
1107         log2_shaper_colorspace.to_reference_transforms)
1108     log2_shaper_api1_colorspace.from_reference_transforms = list(
1109         log2_shaper_colorspace.from_reference_transforms)
1110
1111     # *AP1* primaries to *AP0* primaries
1112     log2_shaper_api1_colorspace.to_reference_transforms.append({
1113         'type': 'matrix',
1114         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
1115         'direction': 'forward'
1116     })
1117     colorspaces.append(log2_shaper_api1_colorspace)
1118
1119     # Defining the *Log2* shaper that includes the *AP1* primaries.
1120     # Named with `shaper_name` variable and needed for some *LUT* baking steps.
1121     shaper_api1_name = '%s - AP1' % shaper_name
1122     shaper_api1_colorspace = ColorSpace(shaper_api1_name)
1123     shaper_api1_colorspace.description = (
1124         'The %s color space' % shaper_api1_name)
1125     shaper_api1_colorspace.aliases = ['%s_ap1' % compact(shaper_name)]
1126     shaper_api1_colorspace.equality_group = shaper_api1_name
1127     shaper_api1_colorspace.family = log2_shaper_colorspace.family
1128     shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1129     shaper_api1_colorspace.to_reference_transforms = list(
1130         log2_shaper_api1_colorspace.to_reference_transforms)
1131     shaper_api1_colorspace.from_reference_transforms = list(
1132         log2_shaper_api1_colorspace.from_reference_transforms)
1133     colorspaces.append(shaper_api1_colorspace)
1134
1135     # Define the base *Dolby PQ Shaper*
1136     #
1137     dolby_pq_shaper_name = 'Dolby PQ 10000'
1138     dolbypq_shaper_name_aliases = ['crv_%s' % 'dolbypq_10000']
1139
1140     dolbypq_shaper_colorspace = create_Dolby_PQ(
1141         aces_ctl_directory,
1142         lut_directory,
1143         lut_resolution_1d,
1144         cleanup,
1145         name=dolby_pq_shaper_name,
1146         aliases=dolbypq_shaper_name_aliases)
1147     colorspaces.append(dolbypq_shaper_colorspace)
1148
1149     # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1150     dolbypq_shaper_data = [
1151         dolby_pq_shaper_name,
1152         os.path.join('%s',
1153                      'utilities',
1154                      'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl'),
1155         os.path.join('%s',
1156                      'utilities',
1157                      'ACESlib.Lin_to_DolbyPQ.a1.0.0.ctl'),
1158         1.0,
1159         {}]
1160
1161     shaper_data[dolby_pq_shaper_name] = dolbypq_shaper_data
1162
1163     # Define the *Dolby PQ Shaper that considers a fixed linear range*
1164     dolby_pq_scaled_shaper_name = 'Dolby PQ Scaled'
1165     dolbypq_scaled_shaper_name_aliases = ['crv_%s' % 'dolbypq_scaled']
1166
1167     dolbypq_scaled_shaper_colorspace = create_Dolby_PQ_scaled(
1168         aces_ctl_directory,
1169         lut_directory,
1170         lut_resolution_1d,
1171         cleanup,
1172         name=dolby_pq_scaled_shaper_name,
1173         aliases=dolbypq_scaled_shaper_name_aliases)
1174     colorspaces.append(dolbypq_scaled_shaper_colorspace)
1175
1176     # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1177     dolbypq_scaled_shaper_data = [
1178         dolby_pq_scaled_shaper_name,
1179         os.path.join('%s',
1180                      'utilities',
1181                      'ACESlib.DolbyPQ_to_Lin_param.a1.0.0.ctl'),
1182         os.path.join('%s',
1183                      'utilities',
1184                      'ACESlib.Lin_to_DolbyPQ_param.a1.0.0.ctl'),
1185         1.0,
1186         log2_params]
1187
1188     shaper_data[dolby_pq_scaled_shaper_name] = dolbypq_scaled_shaper_data
1189
1190     rrt_shaper = log2_shaper_data
1191     # rrt_shaper = dolbypq_scaled_shaper_data
1192
1193     # *RRT + ODT* combinations.
1194     sorted_odts = sorted(odt_info.iteritems(), key=lambda x: x[1])
1195     print(sorted_odts)
1196     for odt in sorted_odts:
1197         (odt_name, odt_values) = odt
1198
1199         # Defining full range transform for *ODTs* that can only generate
1200         # either *legal* or *full* output.
1201
1202         # Uncomment these lines and the lower section and
1203         # flip the `legalRange` value to 1 to restore the old behavior,
1204         # where both *legal* or *full* range *LUTs* were generated.
1205         if odt_values['transformHasFullLegalSwitch']:
1206             # odt_name_legal = '%s - Legal' % odt_values['transformUserName']
1207             odt_legal['legalRange'] = 0
1208         # else:
1209         #    odt_name_legal = odt_values['transformUserName']
1210
1211         odt_name_legal = odt_values['transformUserName']
1212
1213         odt_legal = odt_values.copy()
1214
1215         odt_aliases = ['out_%s' % compact(odt_name_legal)]
1216
1217         cs = create_ACES_RRT_plus_ODT(
1218             odt_name_legal,
1219             odt_legal,
1220             rrt_shaper,
1221             aces_ctl_directory,
1222             lut_directory,
1223             lut_resolution_3d,
1224             cleanup,
1225             odt_aliases)
1226         colorspaces.append(cs)
1227
1228         displays[odt_name_legal] = {
1229             'Raw': linear_display_space,
1230             'Log': log_display_space,
1231             'Output Transform': cs}
1232
1233         """
1234         # Generating full range transform for *ODTs* that can generate
1235         # either *legal* or *full* output.
1236         if odt_values['transformHasFullLegalSwitch']:
1237             print('Generating full range ODT for %s' % odt_name)
1238
1239             odt_name_full = '%s - Full' % odt_values['transformUserName']
1240             odt_full = odt_values.copy()
1241             odt_full['legalRange'] = 0
1242
1243             odt_full_aliases = ['out_%s' % compact(odt_name_full)]
1244
1245             cs_full = create_ACES_RRT_plus_ODT(
1246                 odt_name_full,
1247                 odt_full,
1248                 rrt_shaper,
1249                 aces_ctl_directory,
1250                 lut_directory,
1251                 lut_resolution_1d,
1252                 lut_resolution_3d,
1253                 cleanup,
1254                 odt_full_aliases)
1255             colorspaces.append(cs_full)
1256
1257             displays[odt_name_full] = {
1258                 'Raw': linear_display_space,
1259                 'Log': log_display_space,
1260                 'Output Transform': cs_full}
1261         """
1262
1263     return colorspaces, displays
1264
1265
1266 def get_transform_info(ctl_transform):
1267     """
1268     Object description.
1269
1270     Parameters
1271     ----------
1272     parameter : type
1273         Parameter description.
1274
1275     Returns
1276     -------
1277     type
1278          Return value description.
1279     """
1280
1281     with open(ctl_transform, 'rb') as fp:
1282         lines = fp.readlines()
1283
1284     # Retrieving the *transform ID* and *User Name*.
1285     transform_id = lines[1][3:].split('<')[1].split('>')[1].strip()
1286     transform_user_name = '-'.join(
1287         lines[2][3:].split('<')[1].split('>')[1].split('-')[1:]).strip()
1288     transform_user_name_prefix = (
1289         lines[2][3:].split('<')[1].split('>')[1].split('-')[0].strip())
1290
1291     # Figuring out if this transform has options for processing *full* and
1292     # *legal* ranges.
1293     transform_full_legal_switch = False
1294     for line in lines:
1295         if line.strip() == 'input varying int legalRange = 0':
1296             # print( '%s has legal range flag' % transform_user_name)
1297             transform_full_legal_switch = True
1298             break
1299
1300     return (transform_id, transform_user_name, transform_user_name_prefix,
1301             transform_full_legal_switch)
1302
1303
1304 def get_ODTs_info(aces_ctl_directory):
1305     """
1306     Object description.
1307
1308     For versions after WGR9.
1309
1310     Parameters
1311     ----------
1312     parameter : type
1313         Parameter description.
1314
1315     Returns
1316     -------
1317     type
1318          Return value description.
1319     """
1320
1321     # TODO: Investigate usage of *files_walker* definition here.
1322     # Credit to *Alex Fry* for the original approach here.
1323     odt_dir = os.path.join(aces_ctl_directory, 'odt')
1324     all_odt = []
1325     for dir_name, subdir_list, file_list in os.walk(odt_dir):
1326         for fname in file_list:
1327             all_odt.append((os.path.join(dir_name, fname)))
1328
1329     odt_ctls = [x for x in all_odt if
1330                 ('InvODT' not in x) and (os.path.split(x)[-1][0] != '.')]
1331
1332     odts = {}
1333
1334     for odt_ctl in odt_ctls:
1335         odt_tokens = os.path.split(odt_ctl)
1336
1337         # Handling nested directories.
1338         odt_path_tokens = os.path.split(odt_tokens[-2])
1339         odt_dir = odt_path_tokens[-1]
1340         while odt_path_tokens[-2][-3:] != 'odt':
1341             odt_path_tokens = os.path.split(odt_path_tokens[-2])
1342             odt_dir = os.path.join(odt_path_tokens[-1], odt_dir)
1343
1344         # Building full name.
1345         transform_ctl = odt_tokens[-1]
1346         odt_name = string.join(transform_ctl.split('.')[1:-1], '.')
1347
1348         # Finding id, user name and user name prefix.
1349         (transform_id,
1350          transform_user_name,
1351          transform_user_name_prefix,
1352          transform_full_legal_switch) = get_transform_info(
1353             os.path.join(aces_ctl_directory, 'odt', odt_dir, transform_ctl))
1354
1355         # Finding inverse.
1356         transform_ctl_inverse = 'InvODT.%s.ctl' % odt_name
1357         if not os.path.exists(
1358                 os.path.join(odt_tokens[-2], transform_ctl_inverse)):
1359             transform_ctl_inverse = None
1360
1361         # Adding to list of *ODTs*.
1362         odts[odt_name] = {}
1363         odts[odt_name]['transformCTL'] = os.path.join(odt_dir, transform_ctl)
1364         if transform_ctl_inverse is not None:
1365             odts[odt_name]['transformCTLInverse'] = os.path.join(
1366                 odt_dir, transform_ctl_inverse)
1367
1368         odts[odt_name]['transformID'] = transform_id
1369         odts[odt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1370         odts[odt_name]['transformUserName'] = transform_user_name
1371         odts[odt_name][
1372             'transformHasFullLegalSwitch'] = transform_full_legal_switch
1373
1374         forward_ctl = odts[odt_name]['transformCTL']
1375
1376         print('ODT : %s' % odt_name)
1377         print('\tTransform ID               : %s' % transform_id)
1378         print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1379         print('\tTransform User Name        : %s' % transform_user_name)
1380         print(
1381             '\tHas Full / Legal Switch    : %s' % transform_full_legal_switch)
1382         print('\tForward ctl                : %s' % forward_ctl)
1383         if 'transformCTLInverse' in odts[odt_name]:
1384             inverse_ctl = odts[odt_name]['transformCTLInverse']
1385             print('\tInverse ctl                : %s' % inverse_ctl)
1386         else:
1387             print('\tInverse ctl                : %s' % 'None')
1388
1389     print('\n')
1390
1391     return odts
1392
1393
1394 def get_LMTs_info(aces_ctl_directory):
1395     """
1396     Object description.
1397
1398     For versions after WGR9.
1399
1400     Parameters
1401     ----------
1402     parameter : type
1403         Parameter description.
1404
1405     Returns
1406     -------
1407     type
1408          Return value description.
1409     """
1410
1411     # TODO: Investigate refactoring with previous definition.
1412
1413     # Credit to Alex Fry for the original approach here
1414     lmt_dir = os.path.join(aces_ctl_directory, 'lmt')
1415     all_lmt = []
1416     for dir_name, subdir_list, file_list in os.walk(lmt_dir):
1417         for fname in file_list:
1418             all_lmt.append((os.path.join(dir_name, fname)))
1419
1420     lmt_ctls = [x for x in all_lmt if
1421                 ('InvLMT' not in x) and ('README' not in x) and (
1422                     os.path.split(x)[-1][0] != '.')]
1423
1424     lmts = {}
1425
1426     for lmt_ctl in lmt_ctls:
1427         lmt_tokens = os.path.split(lmt_ctl)
1428
1429         # Handlimg nested directories.
1430         lmt_path_tokens = os.path.split(lmt_tokens[-2])
1431         lmt_dir = lmt_path_tokens[-1]
1432         while lmt_path_tokens[-2][-3:] != 'ctl':
1433             lmt_path_tokens = os.path.split(lmt_path_tokens[-2])
1434             lmt_dir = os.path.join(lmt_path_tokens[-1], lmt_dir)
1435
1436         # Building full name.
1437         transform_CTL = lmt_tokens[-1]
1438         lmt_name = string.join(transform_CTL.split('.')[1:-1], '.')
1439
1440         # Finding id, user name and user name prefix.
1441         (transform_id,
1442          transform_user_name,
1443          transform_user_name_prefix,
1444          transform_full_legal_switch) = get_transform_info(
1445             os.path.join(aces_ctl_directory, lmt_dir, transform_CTL))
1446
1447         # Finding inverse.
1448         transform_ctl_inverse = 'InvLMT.%s.ctl' % lmt_name
1449         if not os.path.exists(
1450                 os.path.join(lmt_tokens[-2], transform_ctl_inverse)):
1451             transform_ctl_inverse = None
1452
1453         lmts[lmt_name] = {}
1454         lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_CTL)
1455         if transform_ctl_inverse is not None:
1456             lmts[lmt_name]['transformCTLInverse'] = os.path.join(
1457                 lmt_dir, transform_ctl_inverse)
1458
1459         lmts[lmt_name]['transformID'] = transform_id
1460         lmts[lmt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1461         lmts[lmt_name]['transformUserName'] = transform_user_name
1462
1463         forward_ctl = lmts[lmt_name]['transformCTL']
1464
1465         print('LMT : %s' % lmt_name)
1466         print('\tTransform ID               : %s' % transform_id)
1467         print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1468         print('\tTransform User Name        : %s' % transform_user_name)
1469         print('\t Forward ctl               : %s' % forward_ctl)
1470         if 'transformCTLInverse' in lmts[lmt_name]:
1471             inverse_ctl = lmts[lmt_name]['transformCTLInverse']
1472             print('\t Inverse ctl                : %s' % inverse_ctl)
1473         else:
1474             print('\t Inverse ctl                : %s' % 'None')
1475
1476     print('\n')
1477
1478     return lmts
1479
1480
1481 def create_colorspaces(aces_ctl_directory,
1482                        lut_directory,
1483                        lut_resolution_1d,
1484                        lut_resolution_3d,
1485                        lmt_info,
1486                        odt_info,
1487                        shaper_name,
1488                        cleanup):
1489     """
1490     Generates the colorspace conversions.
1491
1492     Parameters
1493     ----------
1494     parameter : type
1495         Parameter description.
1496
1497     Returns
1498     -------
1499     type
1500          Return value description.
1501     """
1502
1503     colorspaces = []
1504
1505     ACES = create_ACES()
1506
1507     ACEScc = create_ACEScc(aces_ctl_directory, lut_directory,
1508                            lut_resolution_1d, cleanup,
1509                            min_value=-0.35840, max_value=1.468)
1510     colorspaces.append(ACEScc)
1511
1512     ACESproxy = create_ACESproxy(aces_ctl_directory, lut_directory,
1513                                  lut_resolution_1d, cleanup)
1514     colorspaces.append(ACESproxy)
1515
1516     ACEScg = create_ACEScg()
1517     colorspaces.append(ACEScg)
1518
1519     ADX10 = create_ADX(lut_directory, bit_depth=10)
1520     colorspaces.append(ADX10)
1521
1522     ADX16 = create_ADX(lut_directory, bit_depth=16)
1523     colorspaces.append(ADX16)
1524
1525     lmts = create_LMTs(aces_ctl_directory,
1526                        lut_directory,
1527                        lut_resolution_1d,
1528                        lut_resolution_3d,
1529                        lmt_info,
1530                        cleanup)
1531     colorspaces.extend(lmts)
1532
1533     odts, displays = create_ODTs(aces_ctl_directory,
1534                                  lut_directory,
1535                                  lut_resolution_1d,
1536                                  lut_resolution_3d,
1537                                  odt_info,
1538                                  shaper_name,
1539                                  cleanup,
1540                                  ACES,
1541                                  ACEScc)
1542     colorspaces.extend(odts)
1543
1544     # TODO: Investigate if there is a way to retrieve the value from *CTL*.
1545     default_display = 'sRGB (D60 sim.)'
1546
1547     roles = {'color_picking': ACEScg.name,
1548              'color_timing': ACEScc.name,
1549              'compositing_log': ACEScc.name,
1550              'data': '',
1551              'default': ACES.name,
1552              'matte_paint': ACEScc.name,
1553              'reference': '',
1554              'scene_linear': ACEScg.name,
1555              'texture_paint': ''}
1556
1557     return ACES, colorspaces, displays, ACEScc, roles, default_display