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
  30 __author__ = 'ACES Developers'
  31 __copyright__ = 'Copyright (C) 2014 - 2015 - ACES Developers'
  32 __license__ = ''
  33 __maintainer__ = 'ACES Developers'
  34 __email__ = 'aces@oscars.org'
  35 __status__ = 'Production'
  36
  37 __all__ = ['ACES_AP1_TO_AP0',
  38            'ACES_AP0_TO_XYZ',
  39            'create_ACES',
  40            'create_ACEScc',
  41            'create_ACESproxy',
  42            'create_ACEScg',
  43            'create_ADX',
  44            'create_ACES_LMT',
  45            'create_ACES_RRT_plus_ODT',
  46            'create_generic_log',
  47            'create_LMTs',
  48            'create_ODTs',
  49            'get_transform_info',
  50            'get_ODTs_info',
  51            'get_LMTs_info',
  52            'create_colorspaces']
  53
  54 # Matrix converting *ACES AP1* primaries to *ACES AP0*.
  55 ACES_AP1_TO_AP0 = [0.6954522414, 0.1406786965, 0.1638690622,
  56                    0.0447945634, 0.8596711185, 0.0955343182,
  57                    -0.0055258826, 0.0040252103, 1.0015006723]
  58
  59 # Matrix converting *ACES AP0* primaries to *ACES AP1*.
  60 ACES_AP0_TO_AP1 = [1.4514393161, -0.2365107469, -0.2149285693,
  61                    -0.0765537734, 1.1762296998, -0.0996759264,
  62                    0.0083161484, -0.0060324498, 0.9977163014]
  63
  64 # Matrix converting *ACES AP0* primaries to *XYZ*.
  65 ACES_AP0_TO_XYZ = [0.9525523959, 0.0000000000, 0.0000936786,
  66                    0.3439664498, 0.7281660966, -0.0721325464,
  67                    0.0000000000, 0.0000000000, 1.0088251844]
  68
  69 # Matrix converting *ACES AP0* primaries to *XYZ*.
  70 ACES_XYZ_TO_AP0 = [1.0498110175, 0.0000000000, -0.0000974845,
  71                    -0.4959030231, 1.3733130458, 0.0982400361,
  72                    0.0000000000, 0.0000000000, 0.9912520182]
  73
  74
  75 def create_ACES():
  76     """
  77     Object description.
  78
  79     Parameters
  80     ----------
  81     parameter : type
  82         Parameter description.
  83
  84     Returns
  85     -------
  86     type
  87          Return value description.
  88     """
  89
  90     # Defining the reference colorspace.
  91     aces2065_1 = ColorSpace('ACES2065-1')
  92     aces2065_1.description = (
  93         'The Academy Color Encoding System reference color space')
  94     aces2065_1.equality_group = ''
  95     aces2065_1.aliases = ["lin_ap0", "aces"]
  96     aces2065_1.family = 'ACES'
  97     aces2065_1.is_data = False
  98     aces2065_1.allocation_type = ocio.Constants.ALLOCATION_LG2
  99     aces2065_1.allocation_vars = [-8, 5, 0.00390625]
 100
 101     return aces2065_1
 102
 103
 104 def create_ACEScc(aces_ctl_directory,
 105                   lut_directory,
 106                   lut_resolution_1d,
 107                   cleanup,
 108                   name='ACEScc',
 109                   min_value=0,
 110                   max_value=1,
 111                   input_scale=1):
 112     """
 113     Creates the *ACEScc* colorspace.
 114
 115     Parameters
 116     ----------
 117     parameter : type
 118         Parameter description.
 119
 120     Returns
 121     -------
 122     Colorspace
 123          *ACEScc* colorspace.
 124     """
 125
 126     cs = ColorSpace(name)
 127     cs.description = 'The %s color space' % name
 128     cs.aliases = ["acescc", "acescc_ap1"]
 129     cs.equality_group = ''
 130     cs.family = 'ACES'
 131     cs.is_data = False
 132     cs.allocation_type = ocio.Constants.ALLOCATION_UNIFORM
 133     cs.allocation_vars = [min_value, max_value]
 134     cs.aces_transform_id = "ACEScsc.ACEScc_to_ACES.a1.0.0"
 135
 136     ctls = [os.path.join(aces_ctl_directory,
 137                          'ACEScc',
 138                          'ACEScsc.ACEScc_to_ACES.a1.0.0.ctl'),
 139             # This transform gets back to the *AP1* primaries.
 140             # Useful as the 1d LUT is only covering the transfer function.
 141             # The primaries switch is covered by the matrix below:
 142             os.path.join(aces_ctl_directory,
 143                          'ACEScg',
 144                          'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
 145     lut = '%s_to_linear.spi1d' % name
 146
 147     lut = sanitize(lut)
 148
 149     generate_1d_LUT_from_CTL(
 150         os.path.join(lut_directory, lut),
 151         ctls,
 152         lut_resolution_1d,
 153         'float',
 154         input_scale,
 155         1,
 156         {},
 157         cleanup,
 158         aces_ctl_directory,
 159         min_value,
 160         max_value,
 161         1)
 162
 163     cs.to_reference_transforms = []
 164     cs.to_reference_transforms.append({
 165         'type': 'lutFile',
 166         'path': lut,
 167         'interpolation': 'linear',
 168         'direction': 'forward'})
 169
 170     # *AP1* primaries to *AP0* primaries.
 171     cs.to_reference_transforms.append({
 172         'type': 'matrix',
 173         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 174         'direction': 'forward'})
 175
 176     cs.from_reference_transforms = []
 177     return cs
 178
 179
 180 def create_ACESproxy(aces_ctl_directory,
 181                      lut_directory,
 182                      lut_resolution_1d,
 183                      cleanup,
 184                      name='ACESproxy'):
 185     """
 186     Creates the *ACESproxy* colorspace.
 187
 188     Parameters
 189     ----------
 190     parameter : type
 191         Parameter description.
 192
 193     Returns
 194     -------
 195     Colorspace
 196          *ACESproxy* colorspace.
 197     """
 198
 199     cs = ColorSpace(name)
 200     cs.description = 'The %s color space' % name
 201     cs.aliases = ["acesproxy", "acesproxy_ap1"]
 202     cs.equality_group = ''
 203     cs.family = 'ACES'
 204     cs.is_data = False
 205
 206     cs.aces_transform_id = "ACEScsc.ACESproxy10i_to_ACES.a1.0.0"
 207
 208     ctls = [os.path.join(aces_ctl_directory,
 209                          'ACESproxy',
 210                          'ACEScsc.ACESproxy10i_to_ACES.a1.0.0.ctl'),
 211             # This transform gets back to the *AP1* primaries.
 212             # Useful as the 1d LUT is only covering the transfer function.
 213             # The primaries switch is covered by the matrix below:
 214             os.path.join(aces_ctl_directory,
 215                          'ACEScg',
 216                          'ACEScsc.ACES_to_ACEScg.a1.0.0.ctl')]
 217     lut = '%s_to_linear.spi1d' % name
 218
 219     lut = sanitize(lut)
 220
 221     generate_1d_LUT_from_CTL(
 222         os.path.join(lut_directory, lut),
 223         ctls,
 224         lut_resolution_1d,
 225         'float',
 226         1,
 227         1,
 228         {},
 229         cleanup,
 230         aces_ctl_directory,
 231         0,
 232         1,
 233         1)
 234
 235     cs.to_reference_transforms = []
 236     cs.to_reference_transforms.append({
 237         'type': 'lutFile',
 238         'path': lut,
 239         'interpolation': 'linear',
 240         'direction': 'forward'})
 241
 242     # *AP1* primaries to *AP0* primaries.
 243     cs.to_reference_transforms.append({
 244         'type': 'matrix',
 245         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 246         'direction': 'forward'})
 247
 248     cs.from_reference_transforms = []
 249     return cs
 250
 251
 252 # -------------------------------------------------------------------------
 253 # *ACEScg*
 254 # -------------------------------------------------------------------------
 255 def create_ACEScg(aces_ctl_directory,
 256                   lut_directory,
 257                   lut_resolution_1d,
 258                   cleanup,
 259                   name='ACEScg'):
 260     """
 261     Creates the *ACEScg* colorspace.
 262
 263     Parameters
 264     ----------
 265     parameter : type
 266         Parameter description.
 267
 268     Returns
 269     -------
 270     Colorspace
 271          *ACEScg* colorspace.
 272     """
 273
 274     cs = ColorSpace(name)
 275     cs.description = 'The %s color space' % name
 276     cs.aliases = ["acescg", "lin_ap1"]
 277     cs.equality_group = ''
 278     cs.family = 'ACES'
 279     cs.is_data = False
 280     cs.allocation_type = ocio.Constants.ALLOCATION_LG2
 281     cs.allocation_vars = [-8, 5, 0.00390625]
 282
 283     cs.aces_transform_id = "ACEScsc.ACEScg_to_ACES.a1.0.0"
 284
 285     cs.to_reference_transforms = []
 286
 287     # *AP1* primaries to *AP0* primaries.
 288     cs.to_reference_transforms.append({
 289         'type': 'matrix',
 290         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
 291         'direction': 'forward'})
 292
 293     cs.from_reference_transforms = []
 294
 295     # *AP1* primaries to *AP0* primaries.
 296     cs.from_reference_transforms.append({
 297         'type': 'matrix',
 298         'matrix': mat44_from_mat33(ACES_AP0_TO_AP1),
 299         'direction': 'forward'})
 300
 301     return cs
 302
 303
 304 # -------------------------------------------------------------------------
 305 # *ADX*
 306 # -------------------------------------------------------------------------
 307 def create_ADX(lut_directory,
 308                lut_resolution_1d,
 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     # Convert from Channel-Dependent Density to Channel-Independent Density
 362     cs.to_reference_transforms.append({
 363         'type': 'matrix',
 364         'matrix': [0.75573, 0.22197, 0.02230, 0,
 365                    0.05901, 0.96928, -0.02829, 0,
 366                    0.16134, 0.07406, 0.76460, 0,
 367                    0, 0, 0, 1],
 368         'direction': 'forward'})
 369
 370     # Copied from *Alex Fry*'s *adx_cid_to_rle.py*
 371     def create_CID_to_RLE_LUT():
 372
 373         def interpolate_1D(x, xp, fp):
 374             return numpy.interp(x, xp, fp)
 375
 376         LUT_1D_xp = [-0.190000000000000,
 377                      0.010000000000000,
 378                      0.028000000000000,
 379                      0.054000000000000,
 380                      0.095000000000000,
 381                      0.145000000000000,
 382                      0.220000000000000,
 383                      0.300000000000000,
 384                      0.400000000000000,
 385                      0.500000000000000,
 386                      0.600000000000000]
 387
 388         LUT_1D_fp = [-6.000000000000000,
 389                      -2.721718645000000,
 390                      -2.521718645000000,
 391                      -2.321718645000000,
 392                      -2.121718645000000,
 393                      -1.921718645000000,
 394                      -1.721718645000000,
 395                      -1.521718645000000,
 396                      -1.321718645000000,
 397                      -1.121718645000000,
 398                      -0.926545676714876]
 399
 400         REF_PT = ((7120 - 1520) / 8000 * (100 / 55) -
 401                   math.log(0.18, 10))
 402
 403         def cid_to_rle(x):
 404             if x <= 0.6:
 405                 return interpolate_1D(x, LUT_1D_xp, LUT_1D_fp)
 406             return (100 / 55) * x - REF_PT
 407
 408         def fit(value, from_min, from_max, to_min, to_max):
 409             if from_min == from_max:
 410                 raise ValueError('from_min == from_max')
 411             return (value - from_min) / (from_max - from_min) * (
 412                 to_max - to_min) + to_min
 413
 414         num_samples = 2 ** 12
 415         domain = (-0.19, 3)
 416         data = []
 417         for i in xrange(num_samples):
 418             x = i / (num_samples - 1)
 419             x = fit(x, 0, 1, domain[0], domain[1])
 420             data.append(cid_to_rle(x))
 421
 422         lut = 'ADX_CID_to_RLE.spi1d'
 423         write_SPI_1d(os.path.join(lut_directory, lut),
 424                      domain[0],
 425                      domain[1],
 426                      data,
 427                      num_samples, 1)
 428
 429         return lut
 430
 431     # Converting *Channel Independent Density* values to
 432     # *Relative Log Exposure* values.
 433     lut = create_CID_to_RLE_LUT()
 434     cs.to_reference_transforms.append({
 435         'type': 'lutFile',
 436         'path': lut,
 437         'interpolation': 'linear',
 438         'direction': 'forward'})
 439
 440     # Converting *Relative Log Exposure* values to
 441     # *Relative Exposure* values.
 442     cs.to_reference_transforms.append({
 443         'type': 'log',
 444         'base': 10,
 445         'direction': 'inverse'})
 446
 447     # Convert *Relative Exposure* values to *ACES* values.
 448     cs.to_reference_transforms.append({
 449         'type': 'matrix',
 450         'matrix': [0.72286, 0.12630, 0.15084, 0,
 451                    0.11923, 0.76418, 0.11659, 0,
 452                    0.01427, 0.08213, 0.90359, 0,
 453                    0, 0, 0, 1],
 454         'direction': 'forward'})
 455
 456     cs.from_reference_transforms = []
 457     return cs
 458
 459
 460 # -------------------------------------------------------------------------
 461 # *Generic Log Transform*
 462 # -------------------------------------------------------------------------
 463 def create_generic_log(aces_ctl_directory,
 464                        lut_directory,
 465                        lut_resolution_1d,
 466                        cleanup,
 467                        name='log',
 468                        aliases=[],
 469                        min_value=0,
 470                        max_value=1,
 471                        input_scale=1,
 472                        middle_grey=0.18,
 473                        min_exposure=-6,
 474                        max_exposure=6.5):
 475     """
 476     Creates the *Generic Log* colorspace.
 477
 478     Parameters
 479     ----------
 480     parameter : type
 481         Parameter description.
 482
 483     Returns
 484     -------
 485     Colorspace
 486          *Generic Log* colorspace.
 487     """
 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_dolbypq(aces_CTL_directory,
 535                    lut_directory,
 536                    lut_resolution_1d,
 537                    cleanup,
 538                    name='pq',
 539                    aliases=[],
 540                    min_value=0.0,
 541                    max_value=1.0,
 542                    input_scale=1.0):
 543     cs = ColorSpace(name)
 544     cs.description = 'The %s color space' % name
 545     cs.aliases = aliases
 546     cs.equality_group = name
 547     cs.family = 'Utility'
 548     cs.is_data = False
 549
 550     ctls = [os.path.join(
 551         aces_CTL_directory,
 552         'utilities',
 553         'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl')]
 554     lut = '%s_to_linear.spi1d' % name
 555
 556     lut = sanitize(lut)
 557
 558     generate_1d_LUT_from_CTL(
 559         os.path.join(lut_directory, lut),
 560         ctls,
 561         lut_resolution_1d,
 562         'float',
 563         input_scale,
 564         1.0,
 565         {},
 566         cleanup,
 567         aces_CTL_directory,
 568         min_value,
 569         max_value)
 570
 571     cs.to_reference_transforms = []
 572     cs.to_reference_transforms.append({
 573         'type': 'lutFile',
 574         'path': lut,
 575         'interpolation': 'linear',
 576         'direction': 'forward'})
 577
 578     cs.from_reference_transforms = []
 579     return cs
 580
 581
 582 # -------------------------------------------------------------------------
 583 # *Dolby PQ Transform that considers a fixed linear range*
 584 # -------------------------------------------------------------------------
 585 def create_dolbypq_scaled(aces_CTL_directory,
 586                           lut_directory,
 587                           lut_resolution_1d,
 588                           cleanup,
 589                           name='pq',
 590                           aliases=[],
 591                           min_value=0.0,
 592                           max_value=1.0,
 593                           input_scale=1.0,
 594                           middle_grey=0.18,
 595                           min_exposure=-6.0,
 596                           max_exposure=6.5):
 597     cs = ColorSpace(name)
 598     cs.description = 'The %s color space' % name
 599     cs.aliases = aliases
 600     cs.equality_group = name
 601     cs.family = 'Utility'
 602     cs.is_data = False
 603
 604     ctls = [os.path.join(
 605         aces_CTL_directory,
 606         'utilities',
 607         'ACESlib.DolbyPQ_to_lin_param.a1.0.0.ctl')]
 608     lut = '%s_to_linear.spi1d' % name
 609
 610     lut = sanitize(lut)
 611
 612     generate_1d_LUT_from_CTL(
 613         os.path.join(lut_directory, lut),
 614         ctls,
 615         lut_resolution_1d,
 616         'float',
 617         input_scale,
 618         1.0,
 619         {'middleGrey': middle_grey,
 620          'minExposure': min_exposure,
 621          'maxExposure': max_exposure},
 622         cleanup,
 623         aces_CTL_directory,
 624         min_value,
 625         max_value)
 626
 627     cs.to_reference_transforms = []
 628     cs.to_reference_transforms.append({
 629         'type': 'lutFile',
 630         'path': lut,
 631         'interpolation': 'linear',
 632         'direction': 'forward'})
 633
 634     cs.from_reference_transforms = []
 635     return cs
 636
 637
 638 # -------------------------------------------------------------------------
 639 # *Individual LMT*
 640 # -------------------------------------------------------------------------
 641 def create_ACES_LMT(lmt_name,
 642                     lmt_values,
 643                     shaper_info,
 644                     aces_ctl_directory,
 645                     lut_directory,
 646                     lut_resolution_1d=1024,
 647                     lut_resolution_3d=64,
 648                     cleanup=True,
 649                     aliases=None):
 650     """
 651     Creates the *ACES LMT* colorspace.
 652
 653     Parameters
 654     ----------
 655     parameter : type
 656         Parameter description.
 657
 658     Returns
 659     -------
 660     Colorspace
 661          *ACES LMT* colorspace.
 662     """
 663
 664     if aliases is None:
 665         aliases = []
 666
 667     cs = ColorSpace('%s' % lmt_name)
 668     cs.description = 'The ACES Look Transform: %s' % lmt_name
 669     cs.aliases = aliases
 670     cs.equality_group = ''
 671     cs.family = 'Look'
 672     cs.is_data = False
 673     cs.allocation_type = ocio.Constants.ALLOCATION_LG2
 674     cs.allocation_vars = [-8, 5, 0.00390625]
 675
 676     pprint.pprint(lmt_values)
 677
 678     # Generating the *shaper* transform.
 679     (shaper_name,
 680      shaper_to_ACES_CTL,
 681      shaper_from_ACES_CTL,
 682      shaper_input_scale,
 683      shaper_params) = shaper_info
 684
 685     # Add the shaper transform
 686     shaper_lut = '%s_to_linear.spi1d' % shaper_name
 687     shaper_lut = sanitize(shaper_lut)
 688
 689     shaper_OCIO_transform = {
 690         'type': 'lutFile',
 691         'path': shaper_lut,
 692         'interpolation': 'linear',
 693         'direction': 'inverse'}
 694
 695     # Generating the forward transform.
 696     cs.from_reference_transforms = []
 697
 698     if 'transformCTL' in lmt_values:
 699         ctls = [shaper_to_ACES_CTL % aces_ctl_directory,
 700                 os.path.join(aces_ctl_directory,
 701                              lmt_values['transformCTL'])]
 702         lut = '%s.%s.spi3d' % (shaper_name, lmt_name)
 703
 704         lut = sanitize(lut)
 705
 706         generate_3d_LUT_from_CTL(
 707             os.path.join(lut_directory, lut),
 708             ctls,
 709             lut_resolution_3d,
 710             'float',
 711             1 / shaper_input_scale,
 712             1,
 713             shaper_params,
 714             cleanup,
 715             aces_ctl_directory)
 716
 717         cs.from_reference_transforms.append(shaper_OCIO_transform)
 718         cs.from_reference_transforms.append({
 719             'type': 'lutFile',
 720             'path': lut,
 721             'interpolation': 'tetrahedral',
 722             'direction': 'forward'})
 723
 724     # Generating the inverse transform.
 725     cs.to_reference_transforms = []
 726
 727     if 'transformCTLInverse' in lmt_values:
 728         ctls = [os.path.join(aces_ctl_directory,
 729                              lmt_values['transformCTLInverse']),
 730                 shaper_from_ACES_CTL % aces_ctl_directory]
 731         lut = 'Inverse.%s.%s.spi3d' % (odt_name, shaper_name)
 732
 733         lut = sanitize(lut)
 734
 735         generate_3d_LUT_from_CTL(
 736             os.path.join(lut_directory, lut),
 737             ctls,
 738             lut_resolution_3d,
 739             'half',
 740             1,
 741             shaper_input_scale,
 742             shaper_params,
 743             cleanup,
 744             aces_ctl_directory,
 745             0,
 746             1,
 747             1)
 748
 749         cs.to_reference_transforms.append({
 750             'type': 'lutFile',
 751             'path': lut,
 752             'interpolation': 'tetrahedral',
 753             'direction': 'forward'})
 754
 755         shaper_inverse = shaper_OCIO_transform.copy()
 756         shaper_inverse['direction'] = 'forward'
 757         cs.to_reference_transforms.append(shaper_inverse)
 758
 759     return cs
 760
 761
 762 # -------------------------------------------------------------------------
 763 # *LMTs*
 764 # -------------------------------------------------------------------------
 765 def create_LMTs(aces_ctl_directory,
 766                 lut_directory,
 767                 lut_resolution_1d,
 768                 lut_resolution_3d,
 769                 lmt_info,
 770                 shaper_name,
 771                 cleanup):
 772     """
 773     Object description.
 774
 775     Parameters
 776     ----------
 777     parameter : type
 778         Parameter description.
 779
 780     Returns
 781     -------
 782     type
 783          Return value description.
 784     """
 785
 786     colorspaces = []
 787
 788     # -------------------------------------------------------------------------
 789     # *LMT Shaper*
 790     # -------------------------------------------------------------------------
 791     lmt_lut_resolution_1d = max(4096, lut_resolution_1d)
 792     lmt_lut_resolution_3d = max(65, lut_resolution_3d)
 793
 794     # Defining the *Log 2* shaper.
 795     lmt_shaper_name = 'LMT Shaper'
 796     lmt_shaper_name_aliases = ['crv_lmtshaper']
 797     lmt_params = {
 798         'middleGrey': 0.18,
 799         'minExposure': -10,
 800         'maxExposure': 6.5}
 801
 802     lmt_shaper = create_generic_log(aces_ctl_directory,
 803                                     lut_directory,
 804                                     lmt_lut_resolution_1d,
 805                                     cleanup,
 806                                     name=lmt_shaper_name,
 807                                     middle_grey=lmt_params['middleGrey'],
 808                                     min_exposure=lmt_params['minExposure'],
 809                                     max_exposure=lmt_params['maxExposure'],
 810                                     aliases=lmt_shaper_name_aliases)
 811     colorspaces.append(lmt_shaper)
 812
 813     shaper_input_scale_generic_log2 = 1
 814
 815     # *Log 2* shaper name and *CTL* transforms bundled up.
 816     lmt_shaper_data = [
 817         lmt_shaper_name,
 818         os.path.join('%s',
 819                      'utilities',
 820                      'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
 821         os.path.join('%s',
 822                      'utilities',
 823                      'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
 824         shaper_input_scale_generic_log2,
 825         lmt_params]
 826
 827     sorted_LMTs = sorted(lmt_info.iteritems(), key=lambda x: x[1])
 828     print(sorted_LMTs)
 829     for lmt in sorted_LMTs:
 830         lmt_name, lmt_values = lmt
 831         lmt_aliases = ["look_%s" % compact(lmt_values['transformUserName'])]
 832         cs = create_ACES_LMT(
 833             lmt_values['transformUserName'],
 834             lmt_values,
 835             lmt_shaper_data,
 836             aces_ctl_directory,
 837             lut_directory,
 838             lmt_lut_resolution_1d,
 839             lmt_lut_resolution_3d,
 840             cleanup,
 841             lmt_aliases)
 842         colorspaces.append(cs)
 843
 844     return colorspaces
 845
 846
 847 # -------------------------------------------------------------------------
 848 # *ACES RRT* with supplied *ODT*.
 849 # -------------------------------------------------------------------------
 850 def create_ACES_RRT_plus_ODT(odt_name,
 851                              odt_values,
 852                              shaper_info,
 853                              aces_ctl_directory,
 854                              lut_directory,
 855                              lut_resolution_1d=1024,
 856                              lut_resolution_3d=64,
 857                              cleanup=True,
 858                              aliases=None):
 859     """
 860     Object description.
 861
 862     Parameters
 863     ----------
 864     parameter : type
 865         Parameter description.
 866
 867     Returns
 868     -------
 869     type
 870          Return value description.
 871     """
 872
 873     if aliases is None:
 874         aliases = []
 875
 876     cs = ColorSpace('%s' % odt_name)
 877     cs.description = '%s - %s Output Transform' % (
 878         odt_values['transformUserNamePrefix'], odt_name)
 879     cs.aliases = aliases
 880     cs.equality_group = ''
 881     cs.family = 'Output'
 882     cs.is_data = False
 883
 884     cs.aces_transform_id = odt_values['transformID']
 885
 886     pprint.pprint(odt_values)
 887
 888     # Generating the *shaper* transform.
 889     (shaper_name,
 890      shaper_to_ACES_CTL,
 891      shaper_from_ACES_CTL,
 892      shaper_input_scale,
 893      shaper_params) = shaper_info
 894
 895     if 'legalRange' in odt_values:
 896         shaper_params['legalRange'] = odt_values['legalRange']
 897     else:
 898         shaper_params['legalRange'] = 0
 899
 900     # Add the shaper transform
 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             # shaperLUT,
 941             ctls,
 942             lut_resolution_3d,
 943             'float',
 944             1 / shaper_input_scale,
 945             1,
 946             shaper_params,
 947             cleanup,
 948             aces_ctl_directory)
 949
 950         cs.from_reference_transforms.append(shaper_OCIO_transform)
 951         cs.from_reference_transforms.append({
 952             'type': 'lutFile',
 953             'path': lut,
 954             'interpolation': 'tetrahedral',
 955             'direction': 'forward'})
 956
 957     # Generating the *inverse* transform.
 958     cs.to_reference_transforms = []
 959
 960     if 'transformLUTInverse' in odt_values:
 961         transform_LUT_inverse_file_name = os.path.basename(
 962             odt_values['transformLUTInverse'])
 963         lut = os.path.join(lut_directory, transform_LUT_inverse_file_name)
 964         shutil.copy(odt_values['transformLUTInverse'], lut)
 965
 966         cs.to_reference_transforms.append({
 967             'type': 'lutFile',
 968             'path': transform_LUT_inverse_file_name,
 969             'interpolation': 'tetrahedral',
 970             'direction': 'forward'})
 971
 972         shaper_inverse = shaper_OCIO_transform.copy()
 973         shaper_inverse['direction'] = 'forward'
 974         cs.to_reference_transforms.append(shaper_inverse)
 975     elif 'transformCTLInverse' in odt_values:
 976         ctls = [os.path.join(aces_ctl_directory,
 977                              'odt',
 978                              odt_values['transformCTLInverse']),
 979                 os.path.join(aces_ctl_directory,
 980                              'rrt',
 981                              'InvRRT.a1.0.0.ctl'),
 982                 shaper_from_ACES_CTL % aces_ctl_directory]
 983         lut = 'InvRRT.a1.0.0.%s.%s.spi3d' % (odt_name, shaper_name)
 984
 985         lut = sanitize(lut)
 986
 987         generate_3d_LUT_from_CTL(
 988             os.path.join(lut_directory, lut),
 989             # None,
 990             ctls,
 991             lut_resolution_3d,
 992             'half',
 993             1,
 994             shaper_input_scale,
 995             shaper_params,
 996             cleanup,
 997             aces_ctl_directory)
 998
 999         cs.to_reference_transforms.append({
1000             'type': 'lutFile',
1001             'path': lut,
1002             'interpolation': 'tetrahedral',
1003             'direction': 'forward'})
1004
1005         shaper_inverse = shaper_OCIO_transform.copy()
1006         shaper_inverse['direction'] = 'forward'
1007         cs.to_reference_transforms.append(shaper_inverse)
1008
1009     return cs
1010
1011
1012 # -------------------------------------------------------------------------
1013 # *ODTs*
1014 # -------------------------------------------------------------------------
1015 def create_ODTs(aces_ctl_directory,
1016                 lut_directory,
1017                 lut_resolution_1d,
1018                 lut_resolution_3d,
1019                 odt_info,
1020                 shaper_name,
1021                 cleanup,
1022                 linear_display_space,
1023                 log_display_space):
1024     """
1025     Object description.
1026
1027     Parameters
1028     ----------
1029     parameter : type
1030         Parameter description.
1031
1032     Returns
1033     -------
1034     type
1035          Return value description.
1036     """
1037
1038     colorspaces = []
1039     displays = {}
1040
1041     # -------------------------------------------------------------------------
1042     # *RRT / ODT* Shaper Options
1043     # -------------------------------------------------------------------------
1044     shaper_data = {}
1045
1046     # Defining the *Log 2* shaper.
1047     log2_shaper_name = shaper_name
1048     log2_shaper_name_aliases = ["crv_%s" % compact(log2_shaper_name)]
1049     log2_params = {
1050         'middleGrey': 0.18,
1051         'minExposure': -6,
1052         'maxExposure': 6.5}
1053
1054     log2_shaper_colorspace = create_generic_log(
1055         aces_ctl_directory,
1056         lut_directory,
1057         lut_resolution_1d,
1058         cleanup,
1059         name=log2_shaper_name,
1060         middle_grey=log2_params['middleGrey'],
1061         min_exposure=log2_params['minExposure'],
1062         max_exposure=log2_params['maxExposure'],
1063         aliases=log2_shaper_name_aliases)
1064     colorspaces.append(log2_shaper_colorspace)
1065
1066     shaper_input_scale_generic_log2 = 1
1067
1068     # *Log 2* shaper name and *CTL* transforms bundled up.
1069     log2_shaper_data = [
1070         log2_shaper_name,
1071         os.path.join('%s',
1072                      'utilities',
1073                      'ACESlib.Log2_to_Lin_param.a1.0.0.ctl'),
1074         os.path.join('%s',
1075                      'utilities',
1076                      'ACESlib.Lin_to_Log2_param.a1.0.0.ctl'),
1077         shaper_input_scale_generic_log2,
1078         log2_params]
1079
1080     shaper_data[log2_shaper_name] = log2_shaper_data
1081
1082     # Space with a more user-friendly name. Direct copy otherwise.
1083     log2_shaper_copy_name = "Log2 Shaper"
1084     log2_shaper_copy_colorspace = ColorSpace(log2_shaper_copy_name)
1085     log2_shaper_copy_colorspace.description = 'The %s color space' % log2_shaper_copy_name
1086     log2_shaper_copy_colorspace.aliases = ["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 = 'The %s color space' % log2_shaper_api1_name
1100     log2_shaper_api1_colorspace.aliases = [
1101         "%s_ap1" % compact(log2_shaper_copy_name)]
1102     log2_shaper_api1_colorspace.equality_group = log2_shaper_api1_name
1103     log2_shaper_api1_colorspace.family = log2_shaper_colorspace.family
1104     log2_shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1105     log2_shaper_api1_colorspace.to_reference_transforms = list(
1106         log2_shaper_colorspace.to_reference_transforms)
1107     log2_shaper_api1_colorspace.from_reference_transforms = list(
1108         log2_shaper_colorspace.from_reference_transforms)
1109
1110     # *AP1* primaries to *AP0* primaries.
1111     log2_shaper_api1_colorspace.to_reference_transforms.append({
1112         'type': 'matrix',
1113         'matrix': mat44_from_mat33(ACES_AP1_TO_AP0),
1114         'direction': 'forward'
1115     })
1116     colorspaces.append(log2_shaper_api1_colorspace)
1117
1118     # Defining the *Log2 shaper that includes the AP1* primaries.
1119     # Named with 'shaper_name' variable. Needed for some LUT baking steps.
1120     shaper_api1_name = "%s - AP1" % shaper_name
1121     shaper_api1_colorspace = ColorSpace(shaper_api1_name)
1122     shaper_api1_colorspace.description = 'The %s color space' % shaper_api1_name
1123     shaper_api1_colorspace.aliases = ["%s_ap1" % compact(shaper_name)]
1124     shaper_api1_colorspace.equality_group = shaper_api1_name
1125     shaper_api1_colorspace.family = log2_shaper_colorspace.family
1126     shaper_api1_colorspace.is_data = log2_shaper_colorspace.is_data
1127     shaper_api1_colorspace.to_reference_transforms = list(
1128         log2_shaper_api1_colorspace.to_reference_transforms)
1129     shaper_api1_colorspace.from_reference_transforms = list(
1130         log2_shaper_api1_colorspace.from_reference_transforms)
1131     colorspaces.append(shaper_api1_colorspace)
1132
1133     # Define the base *Dolby PQ Shaper*
1134     #
1135     dolbypq_shaper_name = "Dolby PQ 10000"
1136     dolbypq_shaper_name_aliases = ["crv_%s" % "dolbypq_10000"]
1137
1138     dolbypq_shaper_colorspace = create_dolbypq(
1139         aces_ctl_directory,
1140         lut_directory,
1141         lut_resolution_1d,
1142         cleanup,
1143         name=dolbypq_shaper_name,
1144         aliases=dolbypq_shaper_name_aliases)
1145     colorspaces.append(dolbypq_shaper_colorspace)
1146
1147     # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1148     dolbypq_shaper_data = [
1149         dolbypq_shaper_name,
1150         os.path.join('%s',
1151                      'utilities',
1152                      'ACESlib.DolbyPQ_to_Lin.a1.0.0.ctl'),
1153         os.path.join('%s',
1154                      'utilities',
1155                      'ACESlib.Lin_to_DolbyPQ.a1.0.0.ctl'),
1156         1.0,
1157         {}]
1158
1159     shaper_data[dolbypq_shaper_name] = dolbypq_shaper_data
1160
1161     # Define the *Dolby PQ Shaper that considers a fixed linear range*
1162     #
1163     dolbypq_scaled_shaper_name = "Dolby PQ Scaled"
1164     dolbypq_scaled_shaper_name_aliases = ["crv_%s" % "dolbypq_scaled"]
1165
1166     dolbypq_scaled_shaper_colorspace = create_dolbypq_scaled(
1167         aces_ctl_directory,
1168         lut_directory,
1169         lut_resolution_1d,
1170         cleanup,
1171         name=dolbypq_scaled_shaper_name,
1172         aliases=dolbypq_scaled_shaper_name_aliases)
1173     colorspaces.append(dolbypq_scaled_shaper_colorspace)
1174
1175     # *Dolby PQ* shaper name and *CTL* transforms bundled up.
1176     dolbypq_scaled_shaper_data = [
1177         dolbypq_scaled_shaper_name,
1178         os.path.join('%s',
1179                      'utilities',
1180                      'ACESlib.DolbyPQ_to_Lin_param.a1.0.0.ctl'),
1181         os.path.join('%s',
1182                      'utilities',
1183                      'ACESlib.Lin_to_DolbyPQ_param.a1.0.0.ctl'),
1184         1.0,
1185         log2_params]
1186
1187     shaper_data[dolbypq_scaled_shaper_name] = dolbypq_scaled_shaper_data
1188
1189     #
1190     # Pick a specific shaper
1191     #
1192     rrt_shaper = log2_shaper_data
1193     # rrt_shaper = dolbypq_scaled_shaper_data
1194
1195     # *RRT + ODT* combinations.
1196     sorted_odts = sorted(odt_info.iteritems(), key=lambda x: x[1])
1197     print(sorted_odts)
1198     for odt in sorted_odts:
1199         (odt_name, odt_values) = odt
1200
1201         # Generating only full range transform for *ODTs* that can generate
1202         # either *legal* or *full* output.
1203
1204         # Uncomment these lines and the lower section and flip the 'legalRange' value to 1
1205         # to recover the old behavior, where both legal and full range LUTs were generated
1206         if odt_values['transformHasFullLegalSwitch']:
1207             #odt_name_legal = '%s - Legal' % odt_values['transformUserName']
1208             odt_legal['legalRange'] = 0
1209         #else:
1210         #    odt_name_legal = odt_values['transformUserName']
1211
1212         odt_name_legal = odt_values['transformUserName']
1213
1214         odt_legal = odt_values.copy()
1215
1216         odt_aliases = ["out_%s" % compact(odt_name_legal)]
1217
1218         cs = create_ACES_RRT_plus_ODT(
1219             odt_name_legal,
1220             odt_legal,
1221             rrt_shaper,
1222             aces_ctl_directory,
1223             lut_directory,
1224             lut_resolution_1d,
1225             lut_resolution_3d,
1226             cleanup,
1227             odt_aliases)
1228         colorspaces.append(cs)
1229
1230         displays[odt_name_legal] = {
1231             'Raw': linear_display_space,
1232             'Log': log_display_space,
1233             'Output Transform': cs}
1234
1235         '''
1236         # Generating full range transform for *ODTs* that can generate
1237         # either *legal* or *full* output.
1238         if odt_values['transformHasFullLegalSwitch']:
1239             print('Generating full range ODT for %s' % odt_name)
1240
1241             odt_name_full = '%s - Full' % odt_values['transformUserName']
1242             odt_full = odt_values.copy()
1243             odt_full['legalRange'] = 0
1244
1245             odt_full_aliases = ["out_%s" % compact(odt_name_full)]
1246
1247             cs_full = create_ACES_RRT_plus_ODT(
1248                 odt_name_full,
1249                 odt_full,
1250                 rrt_shaper,
1251                 aces_ctl_directory,
1252                 lut_directory,
1253                 lut_resolution_1d,
1254                 lut_resolution_3d,
1255                 cleanup,
1256                 odt_full_aliases)
1257             colorspaces.append(cs_full)
1258
1259             displays[odt_name_full] = {
1260                 'Raw': linear_display_space,
1261                 'Log': log_display_space,
1262                 'Output Transform': cs_full}
1263         '''
1264
1265     return (colorspaces, displays)
1266
1267
1268 def get_transform_info(ctl_transform):
1269     """
1270     Object description.
1271
1272     Parameters
1273     ----------
1274     parameter : type
1275         Parameter description.
1276
1277     Returns
1278     -------
1279     type
1280          Return value description.
1281     """
1282
1283     with open(ctl_transform, 'rb') as fp:
1284         lines = fp.readlines()
1285
1286     # Retrieving the *transform ID* and *User Name*.
1287     transform_id = lines[1][3:].split('<')[1].split('>')[1].strip()
1288     transform_user_name = '-'.join(
1289         lines[2][3:].split('<')[1].split('>')[1].split('-')[1:]).strip()
1290     transform_user_name_prefix = (
1291         lines[2][3:].split('<')[1].split('>')[1].split('-')[0].strip())
1292
1293     # Figuring out if this transform has options for processing full and legal range
1294     transform_full_legal_switch = False
1295     for line in lines:
1296         if line.strip() == "input varying int legalRange = 0":
1297             # print( "%s has legal range flag" % transform_user_name)
1298             transform_full_legal_switch = True
1299             break
1300
1301     return (transform_id, transform_user_name, transform_user_name_prefix,
1302             transform_full_legal_switch)
1303
1304
1305 def get_ODTs_info(aces_ctl_directory):
1306     """
1307     Object description.
1308
1309     For versions after WGR9.
1310
1311     Parameters
1312     ----------
1313     parameter : type
1314         Parameter description.
1315
1316     Returns
1317     -------
1318     type
1319          Return value description.
1320     """
1321
1322     # TODO: Investigate usage of *files_walker* definition here.
1323     # Credit to *Alex Fry* for the original approach here.
1324     odt_dir = os.path.join(aces_ctl_directory, 'odt')
1325     all_odt = []
1326     for dir_name, subdir_list, file_list in os.walk(odt_dir):
1327         for fname in file_list:
1328             all_odt.append((os.path.join(dir_name, fname)))
1329
1330     odt_CTLs = [x for x in all_odt if
1331                 ('InvODT' not in x) and (os.path.split(x)[-1][0] != '.')]
1332
1333     odts = {}
1334
1335     for odt_CTL in odt_CTLs:
1336         odt_tokens = os.path.split(odt_CTL)
1337
1338         # Handling nested directories.
1339         odt_path_tokens = os.path.split(odt_tokens[-2])
1340         odt_dir = odt_path_tokens[-1]
1341         while odt_path_tokens[-2][-3:] != 'odt':
1342             odt_path_tokens = os.path.split(odt_path_tokens[-2])
1343             odt_dir = os.path.join(odt_path_tokens[-1], odt_dir)
1344
1345         # Building full name,
1346         transform_CTL = odt_tokens[-1]
1347         odt_name = string.join(transform_CTL.split('.')[1:-1], '.')
1348
1349         # Finding id, user name and user name prefix.
1350         (transform_ID,
1351          transform_user_name,
1352          transform_user_name_prefix,
1353          transform_full_legal_switch) = get_transform_info(
1354             os.path.join(aces_ctl_directory, 'odt', odt_dir, transform_CTL))
1355
1356         # Finding inverse.
1357         transform_CTL_inverse = 'InvODT.%s.ctl' % odt_name
1358         if not os.path.exists(
1359                 os.path.join(odt_tokens[-2], transform_CTL_inverse)):
1360             transform_CTL_inverse = None
1361
1362         # Add to list of ODTs
1363         odts[odt_name] = {}
1364         odts[odt_name]['transformCTL'] = os.path.join(odt_dir, transform_CTL)
1365         if transform_CTL_inverse is not None:
1366             odts[odt_name]['transformCTLInverse'] = os.path.join(
1367                 odt_dir, transform_CTL_inverse)
1368
1369         odts[odt_name]['transformID'] = transform_ID
1370         odts[odt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1371         odts[odt_name]['transformUserName'] = transform_user_name
1372         odts[odt_name][
1373             'transformHasFullLegalSwitch'] = transform_full_legal_switch
1374
1375         forward_CTL = odts[odt_name]['transformCTL']
1376
1377         print('ODT : %s' % odt_name)
1378         print('\tTransform ID               : %s' % transform_ID)
1379         print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1380         print('\tTransform User Name        : %s' % transform_user_name)
1381         print(
1382             '\tHas Full / Legal Switch    : %s' % transform_full_legal_switch)
1383         print('\tForward ctl                : %s' % forward_CTL)
1384         if 'transformCTLInverse' in odts[odt_name]:
1385             inverse_CTL = odts[odt_name]['transformCTLInverse']
1386             print('\tInverse ctl                : %s' % inverse_CTL)
1387         else:
1388             print('\tInverse ctl                : %s' % 'None')
1389
1390     print('\n')
1391
1392     return odts
1393
1394
1395 def get_LMTs_info(aces_ctl_directory):
1396     """
1397     Object description.
1398
1399     For versions after WGR9.
1400
1401     Parameters
1402     ----------
1403     parameter : type
1404         Parameter description.
1405
1406     Returns
1407     -------
1408     type
1409          Return value description.
1410     """
1411
1412     # TODO: Investigate refactoring with previous definition.
1413
1414     # Credit to Alex Fry for the original approach here
1415     lmt_dir = os.path.join(aces_ctl_directory, 'lmt')
1416     all_lmt = []
1417     for dir_name, subdir_list, file_list in os.walk(lmt_dir):
1418         for fname in file_list:
1419             all_lmt.append((os.path.join(dir_name, fname)))
1420
1421     lmt_CTLs = [x for x in all_lmt if
1422                 ('InvLMT' not in x) and ('README' not in x) and (
1423                     os.path.split(x)[-1][0] != '.')]
1424
1425     lmts = {}
1426
1427     for lmt_CTL in lmt_CTLs:
1428         lmt_tokens = os.path.split(lmt_CTL)
1429
1430         # Handlimg nested directories.
1431         lmt_path_tokens = os.path.split(lmt_tokens[-2])
1432         lmt_dir = lmt_path_tokens[-1]
1433         while lmt_path_tokens[-2][-3:] != 'ctl':
1434             lmt_path_tokens = os.path.split(lmt_path_tokens[-2])
1435             lmt_dir = os.path.join(lmt_path_tokens[-1], lmt_dir)
1436
1437         # Building full name.
1438         transform_CTL = lmt_tokens[-1]
1439         lmt_name = string.join(transform_CTL.split('.')[1:-1], '.')
1440
1441         # Finding id, user name and user name prefix.
1442         (transform_ID,
1443          transform_user_name,
1444          transform_user_name_prefix,
1445          transform_full_legal_switch) = get_transform_info(
1446             os.path.join(aces_ctl_directory, lmt_dir, transform_CTL))
1447
1448         # Finding inverse.
1449         transform_CTL_inverse = 'InvLMT.%s.ctl' % lmt_name
1450         if not os.path.exists(
1451                 os.path.join(lmt_tokens[-2], transform_CTL_inverse)):
1452             transform_CTL_inverse = None
1453
1454         lmts[lmt_name] = {}
1455         lmts[lmt_name]['transformCTL'] = os.path.join(lmt_dir, transform_CTL)
1456         if transform_CTL_inverse is not None:
1457             lmts[lmt_name]['transformCTLInverse'] = os.path.join(
1458                 lmt_dir, transform_CTL_inverse)
1459
1460         lmts[lmt_name]['transformID'] = transform_ID
1461         lmts[lmt_name]['transformUserNamePrefix'] = transform_user_name_prefix
1462         lmts[lmt_name]['transformUserName'] = transform_user_name
1463
1464         forward_CTL = lmts[lmt_name]['transformCTL']
1465
1466         print('LMT : %s' % lmt_name)
1467         print('\tTransform ID               : %s' % transform_ID)
1468         print('\tTransform User Name Prefix : %s' % transform_user_name_prefix)
1469         print('\tTransform User Name        : %s' % transform_user_name)
1470         print('\t Forward ctl               : %s' % forward_CTL)
1471         if 'transformCTLInverse' in lmts[lmt_name]:
1472             inverse_CTL = lmts[lmt_name]['transformCTLInverse']
1473             print('\t Inverse ctl                : %s' % inverse_CTL)
1474         else:
1475             print('\t Inverse ctl                : %s' % 'None')
1476
1477     print('\n')
1478
1479     return lmts
1480
1481
1482 def create_colorspaces(aces_ctl_directory,
1483                        lut_directory,
1484                        lut_resolution_1d,
1485                        lut_resolution_3d,
1486                        lmt_info,
1487                        odt_info,
1488                        shaper_name,
1489                        cleanup):
1490     """
1491     Generates the colorspace conversions.
1492
1493     Parameters
1494     ----------
1495     parameter : type
1496         Parameter description.
1497
1498     Returns
1499     -------
1500     type
1501          Return value description.
1502     """
1503
1504     colorspaces = []
1505
1506     ACES = create_ACES()
1507
1508     ACEScc = create_ACEScc(aces_ctl_directory, lut_directory,
1509                            lut_resolution_1d, cleanup,
1510                            min_value=-0.35840, max_value=1.468)
1511     colorspaces.append(ACEScc)
1512
1513     ACESproxy = create_ACESproxy(aces_ctl_directory, lut_directory,
1514                                  lut_resolution_1d, cleanup)
1515     colorspaces.append(ACESproxy)
1516
1517     ACEScg = create_ACEScg(aces_ctl_directory, lut_directory,
1518                            lut_resolution_1d, cleanup)
1519     colorspaces.append(ACEScg)
1520
1521     ADX10 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=10)
1522     colorspaces.append(ADX10)
1523
1524     ADX16 = create_ADX(lut_directory, lut_resolution_1d, bit_depth=16)
1525     colorspaces.append(ADX16)
1526
1527     lmts = create_LMTs(aces_ctl_directory,
1528                        lut_directory,
1529                        lut_resolution_1d,
1530                        lut_resolution_3d,
1531                        lmt_info,
1532                        shaper_name,
1533                        cleanup)
1534     colorspaces.extend(lmts)
1535
1536     odts, displays = create_ODTs(aces_ctl_directory,
1537                                  lut_directory,
1538                                  lut_resolution_1d,
1539                                  lut_resolution_3d,
1540                                  odt_info,
1541                                  shaper_name,
1542                                  cleanup,
1543                                  ACES,
1544                                  ACEScc)
1545     colorspaces.extend(odts)
1546
1547     # Wish there was an automatic way to get this from the CTL
1548     defaultDisplay = "sRGB (D60 sim.)"
1549
1550     roles = {'color_picking': ACEScg.name,
1551              'color_timing': ACEScc.name,
1552              'compositing_log': ACEScc.name,
1553              'data': '',
1554              'default': ACES.name,
1555              'matte_paint': ACEScc.name,
1556              'reference': '',
1557              'scene_linear': ACEScg.name,
1558              'texture_paint': ''}
1559
1560     return ACES, colorspaces, displays, ACEScc, roles, defaultDisplay