The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'
Hi, if std modeling is false, I think the outdim of features should be 1.
Could you please check line70 in DBCNN.py? if the dim of X is 2, then this case is only valid for std modeling mode, right?
zwx8981
commented
3 years ago
Hi, if std modeling is false, I think the outdim of features should be 1. Could you please check line70 in DBCNN.py? if the dim of X is 2, then this case is only valid for std modeling mode, right?