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Created March 21, 2024 11:40
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Turbo colormap for Scilab
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turbocolormap.sci
// Turbo colormap by Anton Mikhailov
// Paper: https://blog.research.google/2019/08/turbo-improved-rainbow-colormap-for.html
// Based on https://gist.github.com/mikhailov-work/ee72ba4191942acecc03fe6da94fc73f
function cmap = turbocolormap(n)
turbo_colormap_data = [
0.18995 0.07176 0.23217
0.19483 0.08339 0.26149
0.19956 0.09498 0.29024
0.20415 0.10652 0.31844
0.20860 0.11802 0.34607
0.21291 0.12947 0.37314
0.21708 0.14087 0.39964
0.22111 0.15223 0.42558
0.22500 0.16354 0.45096
0.22875 0.17481 0.47578
0.23236 0.18603 0.50004
0.23582 0.19720 0.52373
0.23915 0.20833 0.54686
0.24234 0.21941 0.56942
0.24539 0.23044 0.59142
0.24830 0.24143 0.61286
0.25107 0.25237 0.63374
0.25369 0.26327 0.65406
0.25618 0.27412 0.67381
0.25853 0.28492 0.69300
0.26074 0.29568 0.71162
0.26280 0.30639 0.72968
0.26473 0.31706 0.74718
0.26652 0.32768 0.76412
0.26816 0.33825 0.78050
0.26967 0.34878 0.79631
0.27103 0.35926 0.81156
0.27226 0.36970 0.82624
0.27334 0.38008 0.84037
0.27429 0.39043 0.85393
0.27509 0.40072 0.86692
0.27576 0.41097 0.87936
0.27628 0.42118 0.89123
0.27667 0.43134 0.90254
0.27691 0.44145 0.91328
0.27701 0.45152 0.92347
0.27698 0.46153 0.93309
0.27680 0.47151 0.94214
0.27648 0.48144 0.95064
0.27603 0.49132 0.95857
0.27543 0.50115 0.96594
0.27469 0.51094 0.97275
0.27381 0.52069 0.97899
0.27273 0.53040 0.98461
0.27106 0.54015 0.98930
0.26878 0.54995 0.99303
0.26592 0.55979 0.99583
0.26252 0.56967 0.99773
0.25862 0.57958 0.99876
0.25425 0.58950 0.99896
0.24946 0.59943 0.99835
0.24427 0.60937 0.99697
0.23874 0.61931 0.99485
0.23288 0.62923 0.99202
0.22676 0.63913 0.98851
0.22039 0.64901 0.98436
0.21382 0.65886 0.97959
0.20708 0.66866 0.97423
0.20021 0.67842 0.96833
0.19326 0.68812 0.96190
0.18625 0.69775 0.95498
0.17923 0.70732 0.94761
0.17223 0.71680 0.93981
0.16529 0.72620 0.93161
0.15844 0.73551 0.92305
0.15173 0.74472 0.91416
0.14519 0.75381 0.90496
0.13886 0.76279 0.89550
0.13278 0.77165 0.88580
0.12698 0.78037 0.87590
0.12151 0.78896 0.86581
0.11639 0.79740 0.85559
0.11167 0.80569 0.84525
0.10738 0.81381 0.83484
0.10357 0.82177 0.82437
0.10026 0.82955 0.81389
0.09750 0.83714 0.80342
0.09532 0.84455 0.79299
0.09377 0.85175 0.78264
0.09287 0.85875 0.77240
0.09267 0.86554 0.76230
0.09320 0.87211 0.75237
0.09451 0.87844 0.74265
0.09662 0.88454 0.73316
0.09958 0.89040 0.72393
0.10342 0.89600 0.71500
0.10815 0.90142 0.70599
0.11374 0.90673 0.69651
0.12014 0.91193 0.68660
0.12733 0.91701 0.67627
0.13526 0.92197 0.66556
0.14391 0.92680 0.65448
0.15323 0.93151 0.64308
0.16319 0.93609 0.63137
0.17377 0.94053 0.61938
0.18491 0.94484 0.60713
0.19659 0.94901 0.59466
0.20877 0.95304 0.58199
0.22142 0.95692 0.56914
0.23449 0.96065 0.55614
0.24797 0.96423 0.54303
0.26180 0.96765 0.52981
0.27597 0.97092 0.51653
0.29042 0.97403 0.50321
0.30513 0.97697 0.48987
0.32006 0.97974 0.47654
0.33517 0.98234 0.46325
0.35043 0.98477 0.45002
0.36581 0.98702 0.43688
0.38127 0.98909 0.42386
0.39678 0.99098 0.41098
0.41229 0.99268 0.39826
0.42778 0.99419 0.38575
0.44321 0.99551 0.37345
0.45854 0.99663 0.36140
0.47375 0.99755 0.34963
0.48879 0.99828 0.33816
0.50362 0.99879 0.32701
0.51822 0.99910 0.31622
0.53255 0.99919 0.30581
0.54658 0.99907 0.29581
0.56026 0.99873 0.28623
0.57357 0.99817 0.27712
0.58646 0.99739 0.26849
0.59891 0.99638 0.26038
0.61088 0.99514 0.25280
0.62233 0.99366 0.24579
0.63323 0.99195 0.23937
0.64362 0.98999 0.23356
0.65394 0.98775 0.22835
0.66428 0.98524 0.22370
0.67462 0.98246 0.21960
0.68494 0.97941 0.21602
0.69525 0.97610 0.21294
0.70553 0.97255 0.21032
0.71577 0.96875 0.20815
0.72596 0.96470 0.20640
0.73610 0.96043 0.20504
0.74617 0.95593 0.20406
0.75617 0.95121 0.20343
0.76608 0.94627 0.20311
0.77591 0.94113 0.20310
0.78563 0.93579 0.20336
0.79524 0.93025 0.20386
0.80473 0.92452 0.20459
0.81410 0.91861 0.20552
0.82333 0.91253 0.20663
0.83241 0.90627 0.20788
0.84133 0.89986 0.20926
0.85010 0.89328 0.21074
0.85868 0.88655 0.21230
0.86709 0.87968 0.21391
0.87530 0.87267 0.21555
0.88331 0.86553 0.21719
0.89112 0.85826 0.21880
0.89870 0.85087 0.22038
0.90605 0.84337 0.22188
0.91317 0.83576 0.22328
0.92004 0.82806 0.22456
0.92666 0.82025 0.22570
0.93301 0.81236 0.22667
0.93909 0.80439 0.22744
0.94489 0.79634 0.22800
0.95039 0.78823 0.22831
0.95560 0.78005 0.22836
0.96049 0.77181 0.22811
0.96507 0.76352 0.22754
0.96931 0.75519 0.22663
0.97323 0.74682 0.22536
0.97679 0.73842 0.22369
0.98000 0.73000 0.22161
0.98289 0.72140 0.21918
0.98549 0.71250 0.21650
0.98781 0.70330 0.21358
0.98986 0.69382 0.21043
0.99163 0.68408 0.20706
0.99314 0.67408 0.20348
0.99438 0.66386 0.19971
0.99535 0.65341 0.19577
0.99607 0.64277 0.19165
0.99654 0.63193 0.18738
0.99675 0.62093 0.18297
0.99672 0.60977 0.17842
0.99644 0.59846 0.17376
0.99593 0.58703 0.16899
0.99517 0.57549 0.16412
0.99419 0.56386 0.15918
0.99297 0.55214 0.15417
0.99153 0.54036 0.14910
0.98987 0.52854 0.14398
0.98799 0.51667 0.13883
0.98590 0.50479 0.13367
0.98360 0.49291 0.12849
0.98108 0.48104 0.12332
0.97837 0.46920 0.11817
0.97545 0.45740 0.11305
0.97234 0.44565 0.10797
0.96904 0.43399 0.10294
0.96555 0.42241 0.09798
0.96187 0.41093 0.09310
0.95801 0.39958 0.08831
0.95398 0.38836 0.08362
0.94977 0.37729 0.07905
0.94538 0.36638 0.07461
0.94084 0.35566 0.07031
0.93612 0.34513 0.06616
0.93125 0.33482 0.06218
0.92623 0.32473 0.05837
0.92105 0.31489 0.05475
0.91572 0.30530 0.05134
0.91024 0.29599 0.04814
0.90463 0.28696 0.04516
0.89888 0.27824 0.04243
0.89298 0.26981 0.03993
0.88691 0.26152 0.03753
0.88066 0.25334 0.03521
0.87422 0.24526 0.03297
0.86760 0.23730 0.03082
0.86079 0.22945 0.02875
0.85380 0.22170 0.02677
0.84662 0.21407 0.02487
0.83926 0.20654 0.02305
0.83172 0.19912 0.02131
0.82399 0.19182 0.01966
0.81608 0.18462 0.01809
0.80799 0.17753 0.01660
0.79971 0.17055 0.01520
0.79125 0.16368 0.01387
0.78260 0.15693 0.01264
0.77377 0.15028 0.01148
0.76476 0.14374 0.01041
0.75556 0.13731 0.00942
0.74617 0.13098 0.00851
0.73661 0.12477 0.00769
0.72686 0.11867 0.00695
0.71692 0.11268 0.00629
0.70680 0.10680 0.00571
0.69650 0.10102 0.00522
0.68602 0.09536 0.00481
0.67535 0.08980 0.00449
0.66449 0.08436 0.00424
0.65345 0.07902 0.00408
0.64223 0.07380 0.00401
0.63082 0.06868 0.00401
0.61923 0.06367 0.00410
0.60746 0.05878 0.00427
0.59550 0.05399 0.00453
0.58336 0.04931 0.00486
0.57103 0.04474 0.00529
0.55852 0.04028 0.00579
0.54583 0.03593 0.00638
0.53295 0.03169 0.00705
0.51989 0.02756 0.00780
0.50664 0.02354 0.00863
0.49321 0.01963 0.00955
0.47960 0.01583 0.01055
]
grid = linspace(0,1,256)
gridn = linspace(0,1,n)
r = linear_interpn(gridn, grid, turbo_colormap_data(:,1))
g = linear_interpn(gridn, grid, turbo_colormap_data(:,2))
b = linear_interpn(gridn, grid, turbo_colormap_data(:,3))
cmap = [r', g', b']
endfunction
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