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frauzufall avatar frauzufall commented on August 22, 2024 1

Quick solution:

  • add JavaDoc to reflect that the model name defines the model and cache location
  • add method to invalidate cache

Long term solution:

  • use DownloadService to check if model source changed
  • make sure the model cache gets updated once the source changes (e.g. with datestamp)

from imagej-tensorflow.

ctrueden avatar ctrueden commented on August 22, 2024

The download service does compare checksums, if they exist. See here.

The DiskCacheService implementation here does implement checking saving and loading, but saving checksums does not happen automatically. Try calling the saveChecksum method manually in your code? Note that I did not test this feature thoroughly, so there may be obstacles, but I believe the pieces you need are there.

from imagej-tensorflow.

frauzufall avatar frauzufall commented on August 22, 2024

Oh I see. I was at the wrong position in the code.. I do not see the DiskCacheService being called anywhere in this repository. The DownloadService is also not being called if the directory for the model in the cached folder already exists (code. So I cannot find a way where checksums are being compared even if they existed.

from imagej-tensorflow.

imagesc-bot avatar imagesc-bot commented on August 22, 2024

This issue has been mentioned on Image.sc Forum. There might be relevant details there:

https://forum.image.sc/t/tensorflow-model-downloading/40514/2

from imagej-tensorflow.

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