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ysyscool / SGDNet

ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment
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train #3

Open kong1060553768 opened 4 years ago

kong1060553768 commented 4 years ago

Hello, excuse me config.yaml In the path, take koniq10k as an example, Sim Does dir store downloaded pictures? Im dir：/home/syang/ysdata/QA dataset/koniq10k 1024x768 / 1024x768 / what do you want to store? How should I set this path?

ysyscool commented 4 years ago

im_dir: the directory of the input images in this dataset, sim_dir: the directory of the corresponding saliency maps. (you can obtain our generated saliency maps in https://drive.google.com/drive/folders/1EoXpuEBAUPNKPh-17u8WRyHCCg9PKKgT )