Comments (6)
@Xiaocong6 Hi, the folder "models" contains training-testing split files for each database. The scnn.mat under the 'data/models' folder is trained using the combination of Waterloo and PASCAL as we mentioned in the paper. The model used for Waterloo experiments is not released in this repo.
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Thanks!
I am not familiar with Matlab. I want to ask, if I want to use the models your provided to test the results on my own dataset, which file should I run?
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@Xiaocong6 You can train a model on a dataset by running run_exp.m first, then you can use the trained model to test on your dataset. See the demo.m for a simple demo of predicting the quality score of an input image.
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Thanks!
Whick dataset is used to train the model used for Waterloo experiments?
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@Xiaocong6 For fair comparison, we train the model on the LIVE dataset for Waterloo experiments.
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Thank you very much! I got it.
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Related Issues (13)
- the cross dataset test problem HOT 4
- Error in vl_imreadjpeg() HOT 1
- 关于训练的问题 HOT 3
- Wrong use of vl_argparse HOT 2
- 您好,看到您的一些关于图像质量评价的介绍,想问您个问题,就是BLIINDS-II无参考的指标,我在github上复现了几个matlab的代码,文章中介绍BLIINDS-II越大表明图像质量越好,但是我复现的代码结果是相反的,请问您有这个BLIINDS-II代码吗? HOT 2
- 关于程序 HOT 4
- Pre-trained model
- Can your provide a link to download the Live Challenge? HOT 4
- 训练时出现DEROUTPUT dimensions are incompatible with X and FILTERS HOT 3
- error finding a file HOT 2
- no net component in the dagnet.net from demo.m file HOT 4
- where can I found the SCNN labels HOT 4
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