Comments (4)
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.
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.
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.
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.
Related Issues (14)
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from imagej-tensorflow.