Comments (9)
The other way around, I had my RPi3B+'s 1GB RAM (+ 1GB swap as well) going fully occupied for a few hours after installing the app. Nothing too serious in my case (only 2 users on my cloud setup), but still something a few people may like to get warned about beforehand.
I take the chance to also thank you very much for your work on this extension, the results are very good and it's definitely very very promising
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I've installed two different point releases of this app over the last couple of months. I've installed and uninstalled twice over the last two months. The app doesn't seem to do anything at all in my installation. Without some way of manually kicking off the scan, I don't even know when it's running to look for issues in the logs or to see a failure.
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php occ recognize:classify
from recognize.
You mean, to retag photos regardless of whether they have been tagged before? Or to avoid having the background job clog up CPU resources by manually controlling when it runs?
from recognize.
Well the backgroundjob does not run the whole time (it runs in intervalls which are not configureable) and uses only 5 % of my cpu. Therefore it takes pretty long for 1,5 Million photos till all is finished. I would be happy if I could trigger a process to run through all photos, which are not tagged yet, to tag all of them as fast as possible. If possible even with a bit more cpu usage.
from recognize.
Well, a RPi3B+ is not a server, of course its resources are limited.
But for professional server hosting with more resources the app take much too less resources and takes very long to classify. Moreover, I found out that it does not check all pictures. It does not follow the whole depth of the path of folders in which can be pictures to classify, that's why I would wish a tool similar to files:scan that I can manually trigger a scan with classification for photos cross all files and folders independed on their depth and user.
Or maybe also with a parameter to tell the tool for which user or folder it should execute the classification.
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Good points, all around. Thanks for your feedback. I'm currently somewhat swamped, so this'll sadly have to wait until I (or someone else) have time.
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v1.3 now comes with a command line interface that allows running the classifier on full speed.
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@marcelklehr how to do it?
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Related Issues (20)
- Assigning unknown face causes high CPU usage HOT 3
- Cannot upgrade to 6.1.1 HOT 2
- An error occurred during the request. Unable to proceed. Could not update app. 6.1.1 HOT 4
- Error loading models HOT 3
- Cannot view pictures, stuck with waiting screen HOT 6
- Error: Cannot find module 'fs/promises' HOT 3
- Prevent shared pictures from being recognized once by user HOT 6
- Support External Storage HOT 7
- Recognize results are lost when transferring files to other user HOT 21
- Recognize does not obey ignore files for external storage HOT 7
- Adjust "Platform" check for native TensorFlow support on Nextcloud Snap HOT 3
- JVM background processes cause server crashes HOT 2
- Movinet fails in GPU mode HOT 2
- Stuck at "Checking libtensorflow" in WASM mode HOT 7
- Add a way for user to judge: "This is not a person" HOT 4
- Error loading shared library ld-linux-x86-64.so.2: No such file or directory HOT 2
- Could not execute the Node.js binary. You may need to set the path to a working binary manually. HOT 26
- nextcloud recognize has recognized the face, but the thumbnail cannot be displayed when clicking on the face. HOT 4
- [Bug]: Label abbreviated without way to access its contents HOT 2
- Processing loop HOT 14
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