Color changes in photos after exporting from aperture and viewed on another computer

Help! I import raw images, I'm Proofing with sRGB IEC61966-2.1 and my colorsync profile in my export settings are also set with sRGB IEC61966-2.1. When i export to my computer the pictures look exactly as they should be, but when i email them and see them on other computers the colors are not at all what i be;ieved to have been exported! Im a newbie to the digital world...

What is your Mac's display color setting?

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    Can a photo be exported from aperture in CMYK profileas TIFF jpeg PSD etc .?

    Yes, in the export dialogue panel pick a TIFF or PSD setting, and then set the colorsync profile selector to a cmyk-profile,
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  • Unlogged Missing Photos After Import From Aperture

    Hi!
    I have just made the switch from Aperture to Lightroom, and have use the 1.1 version of the Aperture import plugin.
    In my Aperture Library I have, according to the Library -> Photos: 11105 Photos, however after importing to Lightroom, I have only 10967 photos. I have checked the import log, and there were 4 items which failed to import - 3 were .mpo files (panoramas from an xPeria) and 1 was a .gif file. This leaves a deficit of 133 photos that I can't account for.
    Is there any way to compare the aperture library to the lightroom library to see what is missing?

    *WARNING* Once agin, this is a VERY long post! And this contains not only SQL, but heaps of command line fun!
    TLDR Summary: Aperture is storing duplicates on disk (and referencing them in the DB) but hiding them in the GUI. Exactly how it does this, I'm not sure yet. And how to clean it up, I'm not sure either. But if you would like to know how I proved it, read on!
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    "ApertureMetadataExtendedExport.txt" may be a binary file.  See it anyway?
    you will get that error. Turns out I was wrong, it's not (only?) due to the size of the file / line length; it's actually the file type Aperture creates:
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    ApertureMetadataExtendedExport.txt: Little-endian UTF-16 Unicode text, with very long lines
    The key bit being "Little-endian UTF-16", that is what is causing the shell to think it's binary. The little endian is not surprising, after all it's an X86_64 platform. The UTF-16 though is not able to be handled by the shell. So it has to be converted. There are command line utils, but Text Wrangler does the job nicely.
    After conversion (to Unicode UTF-8):
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    ApertureMetadataExtendedExport.txt: ASCII text, with very long lines
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    Version Name    Title   Urgency Categories      Suppl. Categories       Keywords        Instructions    Date Created    Contact Creator Contact Job Title       City    State/Province  Country Job Identifier  Headline        Provider        Source  Copyright Notice        Caption Caption Writer  Rating  IPTC Subject Code       Usage Terms     Intellectual Genre      IPTC Scene      Location        ISO Country Code        Contact Address Contact City    Contact State/Providence        Contact Postal Code     Contact Country Contact Phone   Contact Email   Contact Website Label   Latitude        Longitude       Altitude        AltitudeRef
    So, there you have it! That's what you have access to when exporting the metadata. Helpful? Well, at first glance I didn't think so - as the "Version Name" field is just "IMG_2104", no extension, no path etc. So if we have multiple images called "IMG_2104" we can't tell them apart (unless you have a few other fields to look at - and even then just comparing to the File System entries wouldn't be possible). But! In my last post, I mentioned that the Aperture SQLite DB (Library.apdb, the RKMasters table in particular) contained 11130 entries, and if you looked at the Schema, you would have noticed that there was a column called "originalVersionName" which should match! So, in theory, I can now create a small script to compare metadata with database and find my missing 25 files!
    First of all, I need to add that, when exporting metadata in Aperture, you need to select all the photos! ... and it will take some time! In my case TextWrangler managed to handle the 11108 line file without any problems. And even better, after converting, I was able to view the file with less. This is a BIG step on my last attempt.
    At this point it is worth pointing out that the file is tab-delimited (csv would be easier, of course) but we should be able to work with it anyway.
    To extract the version name (first column) we can use awk:
    $ cat ApertureMetadataExtendedExport.txt | awk -F'\t' '{print $1}' > ApertureMetadataVersionNames.txt
    and we can compare the line counts of both input and output to ensure we got everything:
    $ wc -l ApertureMetadataExtendedExport.txt
       11106 ApertureMetadataExtendedExport.txt
    $ wc -l ApertureMetadataVersionNames.txt
       11106 ApertureMetadataVersionNames.txt
    So far, so good! You might have noticed that the line count is 11106, not 11105, the input file has the header as I printed earlier. So we need to remove the first line. I just use vi for that.
    Lastly, the file needs to be sorted, so we can ensure we are looking in the same order when comparing the metadata version names with the DB version names.
    $ cat ApertureMetadataVersionNames.txt | sort > ApertureMetadataVersionNamesSorted.txt
    To get the Version Names from the DB, fire up sqlite3:
    $ sqlite3 Library.apdb
    sqlite> .output ApertureDBMasterVersionNames.txt
    sqlite> select originalVersionName from RKMaster;
    sqlite> .exit
    Checking the line count in the DB Output:
    $ wc -l ApertureDBMasterVersionNames.txt
       11130 ApertureDBMasterVersionNames.txt
    Brilliant! 11130 lines as expected. Then sort as we did before:
    $ cat ApertureDBMasterVersionNames.txt | sort > ApertureDBMasterVersionNamesSorted.txt
    So, now, in theory, running a diff on both files, should reveal the 25 missing files.... I must admit, I'm rather excited at this point!
    $ diff ApertureDBMasterVersionNamesSorted.txt ApertureMetadataVersionNamesSorted.txt
    IT WORKED! The output is a list of changes you need to make to the second input file to make it look the same as the first. Essentially, this will (in my case) show the Version Names that are missing in Aperture that are present on the File System.
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    < IMG_0144
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    > IMG_0144
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    ./2014/04/11/20140411-222634/IMG_0144.JPG
    ./2014/04/23/20140423-070845/IMG_0144 (1).jpg
    ./2014/04/23/20140423-070845/IMG_0144.jpg
    ./2014/06/28/20140628-215220/IMG_0144.JPG
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    IMG_0144
    IMG_0144
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    The path preceding the image in the FS dump, is the date of import. So I can see that two were imported at the same time, and two separately. The two that show up in the GUI have import sessions of 2014-06-28 @ 09:52:20 PM and 2014-04-11 @ 10:26:34 PM. That means that the first and last are the two files that show in the GUI, the middle two do not.... Why are they not in the GUI (yet are in the DB) and why do they have the exact same import date/time? I have no answer to that yet!
    I used open <filename> from the terminal prompt to view each file, and 3 out of my 4 are identical, and the fourth different.
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    The final point to make here is that, since Lightroom also has 11126 images (11130 less 4 non-compatible files). Then it has taken all the duplicates in the import.
    Well, that was a fun journey, and I learned a lot about Aperture in the process. And yes, I know this is a Lightroom forum and maybe this info would be better on the Aperture forum, I will probably update it there too. But there is some tie back to the Lightroom importer to let people know whats happening internally. (I guess I should update my earlier post, where I assumed the Lightroom Aperture import plugin was using the FS only, it *could* be using the DB as well (and probably is, so it can get more metadata))
    UPDATE: I jumped the gun a bit here, and based my conclusion on limited data. I have finished calculating the SHA-1 for all my missing versions. As well as comparing the counts in the GUI, to the counts in the FS. For the most part, where the GUI count is lower than the FS count, there is a clear duplicate (two files with the same SHA-1). However I have a few cases, where the FS count is higher, and all the images on disk have different SHA-1's! Picking one at random from my list; I have 3 images in the GUI called IMG_0843. On disk I have 4 files all with different SHA-1's. Viewing the actual images, 2 look the same, and the other 2 are different. So that matches 3 "unique" images.
    Using Preview to inspect the exif data for the images which look the same:
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    Pixel X Dimension: 1 536
    Pixel Y Dimension: 2 048
    image 2:
    Pixel X Dimension: 3 264
    Pixel Y Dimension: 2 448
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    Ok. I dumped the screensaver metadata, converted it to UTF-8, grabbed the version names, and sorted them (just like before). Then compared them to the output of the diff command. Yep! the 22 screensaver images match to 22 / 25 missing images. The other 3, appear to be exact duplicates (same SHA-1) of images already in the library. That almost solves it! So then, can I conclude that Lightroom has imported my iCloud Screensaver as normal photos of lower res? In which case, it would likely do it for any shared photo source in Aperture, and perhaps it would be wise to turn that feature off before importing to Lightroom?

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    On the bottom left of the left tool bar there are two buttons. Import and Export. I exported my photos using the Export button. When you do that, the screen that comes up prompts you to set up an export location on your C drive. So I exported the photos to a folder I set up.
    I did not set up a catalogue or export any catalogue.
    I seriously doubt that Picasa had any effect on the folders in Lightroom. The two software application are totally separate. You dont directly transfer photos from LR to Picasa. You need to export from LR first to a location on your PC then Import from that file on your PC into LR. So I dont see how Picasa could effect the photos that are in LR.

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