Comments (1)
lidq92
commented on July 4, 2024
@omrysendik The output is not normalized. The range of the test output depends on the training database. If you train the model on LIVE with DMOSs as labels, the score range is about 0-100 (The larger the score is, the worse the quality is). However, if you train the model on TID2008/TID2013 with MOSs as labels, the score range is about 0-9 (The larger the score is, the better the quality is).
This code is a PyTorch 0.4 implementation of the CNNIQA model in Kang et al. CVPR 2014 with a slight difference as stated in the README.md. You can also make a small change to output the normalized score if you like.
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