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titu1994 avatar titu1994 commented on June 14, 2024

Training is not deterministic, so some times it happens. Did the scores vary drastically?

from neural-image-assessment.

ziibinj avatar ziibinj commented on June 14, 2024

Yes, it vary drastically. Compare to the scores got by weights file in the release, some low quality images got high score while some high quality images got low score, the scores' difference even greater than 1.

from neural-image-assessment.

ziibinj avatar ziibinj commented on June 14, 2024

As the inception_resnet_v2 weights file, an obvious difference is that the release weights file has 219071424 bytes, while the trained result of mine has 219071744 bytes, don't know what cause this difference.

from neural-image-assessment.

titu1994 avatar titu1994 commented on June 14, 2024

300 bytes aren't what I'd call significant. I think you require further training. All the models were trained for well over 20-25 epochs, and this was training the entire network, not just the final layers

from neural-image-assessment.

ziibinj avatar ziibinj commented on June 14, 2024

I got it. I read your discussion with tfriedel, tried his way and get a result weights file similar to the release. Firstly train the FC layer and the train the entire network.

from neural-image-assessment.

titu1994 avatar titu1994 commented on June 14, 2024

Yes, without fine-tuning all of the layers, it doesn't get great results.

from neural-image-assessment.

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