Arri Alexa Metadata extraction for Nuke v1.3


 
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Contributor: Mohamed Selim
Website: www.mselim.com
Arri Metadata extract for Nuke is a tool I have been working on lately to make full use of the metadata available in the Alexa files right inside Nuke.
Requirements:
11.0, 10.5, 10.0 or later
Mac, Windows
12 Sep 2018
486

This tool can be very beneficial to Matchmovers - LookDev/Lighting - Compositing.  It extracts most of the data you need like Focal Length, Focus Distance, Fstop etc.. 

You can synch a full take on disk with a Read node inside Nuke and extract the static data as well as animated just for the duration of the plate. 

 

Installation:

- Copy entire folder to HOME/.nuke/

- Add this line to your init.py :
nuke.pluginAddPath('./mS_ARRI_MetaExtract')

 

Usage:

- If a read node is selected then it will attempt to extract locally from the Read's metadata. 

- If nothing is selected then a prompt will pop up to let you choose a file on disk to extract the data from. (Recommended mode for full metadata).

 

Supported files:

ARI - MXF - MOV - EXR - DPX - CSV

 

Screen_Shot_2017-06-13_at_12.58.38_AM.png

 

Screen_Shot_2017-06-13_at_12.59.36_AM.png

 

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Comments   

 
# Otto thorbjornsen 2017-08-17 21:20
Thanks Mohamed, just what I needed!! Great timesaver!!

Cheers,
Otto
 
 
# Mohamed Selim 2017-10-02 00:20
Thanks. Happy I could help.
 
 
# Josh Kell 2017-10-09 02:44
Hi Mohamed, this looks like an amazing tool! Just having problems when trying to extract full metadata but not selecting a read node. I'm getting this:
Synching CSV with Read1 node
Traceback (most recent call last):
File "/Users/admin/. nuke/ms_Arri_Me tadata_Extract_ Nuke.py", line 752, in ms_ARRI_META_EX TRACT
ms_Arri_metadat a_extract_CSV(f ilePath + fileNameOnly+". csv", FPS, csvFrame, synchData, node)
File "/Users/admin/. nuke/ms_Arri_Me tadata_Extract_ Nuke.py", line 145, in ms_Arri_metadat a_extract_CSV
if rowClipName[14] == "":
IndexError: list index out of range


Any suggestions?
 
 
# Mohamed Selim 2017-10-09 10:27
Hi Josh,

So i understand you correctly. You launched the script without selecting a Read node to access a file on disk, and you have "Synch with Read Node" checked and specified "Read1" as the node to synch with?

What type of file are you trying to access? ARI...MOV?

The error your getting means that the field "CameraClipName " in the metadata is empty which is unusual for an Arri file.

Can you share the CSV generated?
 
 
# Josh Kell 2017-10-10 05:59
Hi Mohamed, thanks for the reply.

I managed to get some help as I'm still very new to Python, so apologies if my explanation doesn't make much sense. We ended up solving the original problem by adding this to anytime reader() was used:

reader(csvfile, delimiter='\t')


I was extracting the CSV from a .mov using the Arri Meta Extract GUI. From my understanding, in the CSV it was separating items with tabs instead of commas, which is what the code above fixed. So the tool now works great if I manually create a CSV beforehand, but would be great if I could create it straight from your tool.

What happens now is after clicking OK to this:

Extracting CSV file from clip
You can check the command-line prompt for progress
Click OK to start


I receive this error:

Synching CSV with Read1 node
Traceback (most recent call last):
File "/Users/admin/. nuke/ms_Arri_Me tadata_Extract_ Nuke.py", line 752, in ms_ARRI_META_EX TRACT
ms_Arri_metadat a_extract_CSV(f ilePath + fileNameOnly+". csv", FPS, csvFrame, synchData, node)
File "/Users/admin/. nuke/ms_Arri_Me tadata_Extract_ Nuke.py", line 142, in ms_Arri_metadat a_extract_CSV
with open(csv_path, 'rb') as csvfile:
IOError: [Errno 2] No such file or directory: '/Users/admin/D esktop/meta_ext ract/clipTest.m ov.csv'


So it looks like the tool is looking for the CSV, but never creating one? Thanks for the help.
 
 
# Mohamed Selim 2017-10-10 14:18
You are right. This tool works only on comma separated values generated by Arri's command-line tool and not the default TAB by the GUI.

This error shows that you have the py file directly in the .nuke folder:
File "/Users/admin/. nuke/ms_Arri_Me tadata_Extract_ Nuke.py", line 752, in ms_ARRI_META_EX TRACT

The py file should be in the downloaded folder along with the command-line tools and other py files. Maybe that's why you couldn't generate a csv because the tool cant find the command-line tool.

Also i just uploaded V1.1 with some bug fixes so try that out and make sure its installed correctly as described above and tell me how it goes.
 
 
# Josh Kell 2017-10-11 04:53
Thanks for pointing that out, my bad for not moving the whole folder. I'm still however getting the same error with now correct installation and using v1.1. Anything else I might be doing wrong?

Traceback (most recent call last):
File "/Users/admin/. nuke/mS_ARRI_Me taExtract/ms_Ar ri_Metadata_Ext ract_Nuke.py", line 754, in ms_ARRI_META_EX TRACT
ms_Arri_metadat a_extract_CSV(f ilePath + fileNameOnly+". csv", FPS, csvFrame, synchData)
File "/Users/admin/. nuke/mS_ARRI_Me taExtract/ms_Ar ri_Metadata_Ext ract_Nuke.py", line 140, in ms_Arri_metadat a_extract_CSV
with open(csv_path, 'rb') as csvfile:
IOError: [Errno 2] No such file or directory: '/Users/admin/D esktop/meta_ext ract/clipTest.m ov.csv'
 
 
+1 # Mohamed Selim 2017-10-11 23:03
Hey Josh

First off please download v1.2 as for some reason the osx arri tool did not have the correct permissions.

Another way is to launch Terminal and type chmod 755 then press space and then drag the ARRIMetaExtract _CMD_3.4.5.50_o sx file and press enter.

I think the problem is you have some other files on your desktop with the arri mov file. Files like exr's for instance. So the tool is trying to extract metadata from them and fails.

Or if you dont have other image files in that folder then what happened was the first time it wasn't installed correctly and the second the tool had no permissions.

So for now please just put your quicktime in a sub-folder and hopefully it will work.

I'm working on the code right now to avoid this in the next version.
 
 
# Josh Kell 2017-10-17 01:50
Hey Mohamed,

Sorry for the late reply, but v1.2 works great now! I have the quicktime in a subfolder and it created the CSV and displayed everything correctly. Thanks so much, this tool's a great help. I'll keep an eye out for future versions.

Cheers
 
 
# onur t 2017-11-28 19:33
Great tool!

Could I just ask, how do you open .MXF files? I can't open them in Nuke for some reason..
 
 
# Mohamed Selim 2017-11-28 21:12
Still as of Nuke 11, you can not. This can just extract the metadata from the mxf on disk.
 
 
# George Marmoutas 2018-08-10 15:56
Hi , i have an issue with the gizmo , I have a mov with all the metadata that i need . I checked the csv from arri meta extractor and it has tilt and roll and i cannot access them from the gizmo . I would be happy if i knew how to import from arri's csv but i am not a python user for now . Just letting you know if there is something that you could consider for a future release .
I am guessing they changed something on the headers and your script doesn't recognize it

I am including the csv from arri

https://www.dropbox.com/s/8e8si9165d25zkl/A003C011_180714_R405.mov.csv?dl=0

and the failed attempt to read with the gizmo

https://www.dropbox.com/s/4oahoo1657gtccv/0.png?dl=0

thanks for the gizmo it will be really helpful for me in the future :)
 
 
# Mohamed Selim 2018-09-05 17:28
Hi George,

Sorry for the late reply. I downloaded your csv file and there something wrong with its format. Maybe you opened it with Excel or something and saved. But I will upload tomorrow v1.3 which will allow you to import csv's directly like you wanted. My advice is to regenerate the csv again and without opening it, try loading it with the new version.
 
 
# George Marmoutas 2018-09-05 17:33
no problem , thanks for replying .

It is not something that i personally did , it's how the arri's extractor saved it , regarding the csv. So we understood that it's a new way of saving . maybe an update of firmware on the lds.

We managed to make it work by adding the new Arri's extractor and some magic from a friend that understood your gizmo .
but he didnt make it for mac so thanks for making a new version

Thanks a million !
g,
 
 
# Mohamed Selim 2018-09-06 14:47
Ill check their new extractor now and update it. Thanks for the heads up.
 
 
# George Marmoutas 2018-09-06 14:48
Quoting Mohamed Selim:
Ill check their new extractor now and update it. Thanks for the heads up.


Thank you for the amazing tool :)
g
 
 
# Mohamed Selim 2018-09-12 14:47
I updated the tool to work with tab formatted csv's instead of comma which I think was your issue and its also what arri uses by default. Also you can now just extract from a csv on disk if its pre-made.
 
 
# George Marmoutas 2018-08-10 15:56
that is the arri meta extractor columns that have the tilt and roll

https://www.dropbox.com/s/wh2vj7crwbmezsl/Snap%202018-08-10%20at%2017.51.59.png?dl=0
 
 
# Karim Omar 2018-09-15 01:16
Magnificent tool really helps a lot , Thanks for sharing it
 
 
# Andreas Restle 2019-03-04 10:12
Great tool for Arri Alexa footage, thanks a lot.

Do you think you could adjust it to work with R3D as well?

Getting a lot of those lately ...
 
 
# Min Tesch 2020-01-20 15:24
Thanks for that great tool.
it runs perfect for our A Camera.
For our B Camera we recorded the Lens Data via an external Device.
when i try to import that UMC4 file your tool gives me the error: This doesnt look like an Arri source.
which information could be missing or which info is necessary for your tool to see if the cvs file is an arri source?
here is that file in case you have time to look at.
https://drive.google.com/open?id=1JokY9lzxNfq8RnZjwo0mGx4mJ7BDfpH0
best Min
 
 
# Mohamed Selim 2020-01-27 00:29
Hi Min

Unfortunately this csv is missing a lot of the info the tool is looking for like Clip name, resolution etc.. It will take some time to for you to go in and add them in manually. Also I dont have the time at the moment to update the tool. I did extract them for you though just in case you still need it.

set cut_paste_input [stack 0]
version 11.3 v3
push $cut_paste_input
NoOp {
name Arri_Metadata1
selected true
xpos -146
ypos -247
addUserKnob {20 tmpClipName}
addUserKnob {20 timeGroup l Time n 1}
addUserKnob {7 index l " CSV Index"}
index {{curve 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050}}
addUserKnob {20 "" -STARTLINE n -1}
addUserKnob {20 ldsGroup l LDS n 1}
addUserKnob {26 lensUnit l " Distance Unit:" T Meter}
addUserKnob {7 focusD l " Focus Distance"}
focusD {{curve 1.02 1.027 1.031 1.036 1.039 1.042 1.049 1.059 1.071 1.079 1.084 1.086 1.087 1.087 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.088 1.091 1.107 1.138 1.177 1.209 1.224 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.227 1.229 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.23 1.234 1.243 1.249 1.252 1.256 1.259 1.261 1.263 1.263 1.263 1.263 1.263 1.264 1.264 1.264 1.264 1.264 1.264 1.264 1.263 1.26 1.256 1.25 1.245 1.241 1.239 1.237 1.234 1.232 1.229 1.226 1.224 1.222 1.22 1.218 1.215 1.214 1.212 1.212 1.212 1.212 1.212 1.212 1.213 1.223 1.234 1.245 1.257 1.271 1.286 1.302 1.321 1.337 1.353 1.365 1.373 1.381 1.388 1.393 1.397 1.401 1.406 1.41 1.414 1.419 1.423 1.426 1.429 1.431 1.434 1.438 1.442 1.444 1.446 1.448 1.451 1.457 1.463 1.468 1.475 1.481 1.486 1.492 1.496 1.5 1.503 1.506 1.509 1.514 1.518 1.522 1.525 1.527 1.529 1.53 1.531 1.534 1.536 1.538 1.54 1.542 1.543 1.544 1.545 1.545 1.546 1.548 1.552 1.555 1.56 1.564 1.57 1.578 1.589 1.603 1.62 1.635 1.649 1.66 1.669 1.679 1.689 1.699 1.707 1.713 1.72 1.727 1.736 1.746 1.76 1.776 1.794 1.814 1.835 1.859 1.883 1.907 1.934 1.959 1.981 2.005 2.027 2.044 2.062 2.075 2.083 2.094 2.107 2.119 2.131 2.142 2.153 2.163 2.172 2.179 2.189 2.197 2.208 2.216 2.227 2.237 2.246 2.255 2.261 2.267 2.275 2.283 2.294 2.305 2.314 2.32 2.324 2.328 2.333 2.339 2.347 2.359 2.375 2.397 2.422 2.441 2.453 2.463 2.472 2.479 2.487 2.496 2.502 2.507 2.513 2.519 2.522 2.523 2.524 2.526 2.528 2.533 2.536 2.538 2.543 2.545 2.548 2.55 2.552 2.555 2.557 2.561 2.564 2.568 2.57 2.571 2.572 2.574 2.575 2.575 2.577 2.58 2.583 2.584 2.586 2.587 2.588 2.589 2.591 2.592 2.592 2.592 2.592 2.592 2.593 2.593 2.594 2.595 2.595 2.596 2.599 2.601 2.602 2.604 2.606 2.609 2.611 2.611 2.613 2.613 2.614 2.616 2.618 2.618 2.619 2.62 2.621 2.622 2.625 2.626 2.626 2.627 2.628 2.628 2.628 2.629 2.632 2.633 2.635 2.636 2.639 2.64 2.642 2.645 2.648 2.65 2.654 2.663 2.68 2.698 2.726 2.762 2.795 2.823 2.839 2.852 2.864 2.874 2.881 2.886 2.891 2.895 2.901 2.909 2.923 2.944 2.969 2.996 3.02 3.035 3.046 3.056 3.068 3.08 3.1 3.124 3.149 3.178 3.207 3.226 3.237 3.241 3.245 3.248 3.252 3.252 3.256 3.259 3.261 3.262 3.262 3.263 3.263 3.265 3.266 3.269 3.272 3.273 3.273 3.273 3.273 3.273 3.273 3.273 3.275 3.275 3.275 3.276 3.276 3.276 3.276 3.276 3.276 3.276 3.276 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.278 3.28 3.29 3.315 3.352 3.388 3.407 3.416 3.416 3.416 3.416 3.416 3.416 3.416 3.416 3.415 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.414 3.412 3.407 3.403 3.401 3.398 3.391 3.382 3.37 3.359 3.347 3.339 3.331 3.326 3.323 3.321 3.321 3.321 3.321 3.321 3.321 3.321 3.321 3.321 3.32 3.32 3.32 3.32 3.319 3.315 3.313 3.311 3.309 3.309 3.309 3.308 3.301 3.281 3.251 3.219 3.195 3.175 3.162 3.152 3.144 3.134 3.124 3.108 3.091 3.07 3.036 2.996 2.961 2.924 2.893 2.869 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