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Looking into it now. But, since you bring it up, the user experience is a question.
Right now, the OS will download the file when it comes into view, as you have experienced. The app could avoid that, but then you might get no thumbnail at all if there isn’t one accessible efficiently from the OS. I’m hoping that most of the time, a thumbnail will be available without downloading the file.
However, the real rub is badges / metadata, such as ratings, flags, editing state. Those require reading the XMP data. Currently, Nitro writes separate sidecars which would be fast to do, but I’m going to be moving to the Adobe standard, which is XMP for proprietary RAW (which I do today), but writing XMP into the original for DNG, JPEG, HEIF, etc. In that case, the app has no way to draw a correct ratings, flags, or edit badges until the original file is downloaded. That can be done in the background rather than upfront as it is today, but it’s not great.
It’s hard to say right off the top. However, is it possible that the second image is not actually a RAW?
Nitro uses the file extension to determine if it’s a RAW for the metadata display (because it’s fast), but when editing it actually reads the file and determines what operations are allowed.
One way to tell is to check the file size of the image – if it’s noticeably smaller than the other OM1 file that is definitely a RAW, then that’s the issue.
No, it should finish almost immediately once the model is downloaded. Does this happen for even a single image?
Sorry to hear about that. Sounds like the app is stuck waiting on something, but it’s hard to say what. You can delete preferences by doing the following:
1. Without Nitro running, open the Terminal
2. Execute the following command:
defaults delete com.gentlemencoders.nitro3. You can also go to the following folder in the Finder and delete the Data folder:
~/Library/Containers/com.gentlemencoders.nitro4. Reopen the app.
If you are still stuck, email support@gentlemencoders.com and I can help you.
I can’t speak to alternative software for UGreen. As far as alternative NAS, I have been gotten Synology to work (I don’t remember the model), a Raspberry Pi (!) and a Mac mini. So, a range of devices will work.
Auto Advance only works when you are in the viewer (showing a filmstrip on the bottom). It does not auto advance when showing the thumbnail grid. Is that what you are seeing?
No, there isn’t a way to do that. Media Types are auto-detected by Apple’s code and they cannot be changed. I cannot even change the media type programmatically.
There may be a way for you to configure the NAS to work, since we have examples that do work, but since I don’t know why it doesn’t work for UGreen and others, I don’t know what to tell you 🙁
Some NAS are not compatible with Nitro on iOS. For example, UGreen doesn’t work. However, Synology works, as does something as basic as a Raspberry Pi. Unfortunately, I don’t know why UGreen and others don’t work. I have talked to UGreen. I have talked to Apple’s engineers. No one seems to know. The reason it doesn’t work is because Nitro reads entire folders, not individual files, and the NAS are not able to provide a list of files. On Mac, this is not an issue – it’s the way the iOS works.
Yours is the first complaint I have received about color or luminance masking. I would need more information, sample images, etc. to look into the issue. It is not a magic wand selector. In general, I view color and luminance masking as a quick starting point, where you use the eraser tool to remove areas you do not need.
The video description has an attachment for an image that you can download and use as a test target. The video also shows how to take images to use to train the lens corrector.
Yes, I’m looking into Lensfun.
If you take a sample image and follow the instructions, then it should create the necessary information to automatically correct images. It’s hard to tell based on your description what is not working. If you aren’t using the sample image approach (grid lines), then you can use a RAW+JPEG pair and try to match them, but that can be hard depending on how exact you want the correction. I’m hoping to add more lens profiles to the app in the future, but there is so much other stuff I have to do first…
