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lidq92 avatar lidq92 commented on June 26, 2024 2

@WanQianSucceed *.mat的制作主要是从数据库作者提供的文件中读取了参考图像的文件名ref_names, 失真图像的文件名im_names 以及对应的是第几张参考图像ref_ids, 还有对应的主观分数subjective_scores (可能是DMOS或者MOS) 及主观打分标准差subjective_scores_STD,以上这些是数据库的信息,可以通过简单的数据读取得到。

还有一个index的variable是我用来生成随机划分的1000行随机排序数组,比如TID2013有25张参考图像,那么index就是1000x25的一个矩阵,每一行是1:25的一个随机排序。然后根据自己确定的数据划分比例比如60-20-20就可以得到每个split对应的数据了。

这个代码很简单,我认为你应该自己写一下。我有空的时候会再重新整理更新一下这个仓库的代码,之后我会附上这个制作过程的代码。

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UltronBrain avatar UltronBrain commented on June 26, 2024

感谢您的付出,期待您的.mat代码部分,很棒的代码

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lidq92 avatar lidq92 commented on June 26, 2024

@nuistComputerScience 你也可以参考一下这个代码 https://github.com/lidq92/VSFA/blob/master/data/data_info_maker.m
我最新的这个代码有提供data info maker.

其他的当时我觉得太简单,制作好就一直能用了,所以也就没放。

我看看哪天抽空重新写一下吧,只是临近毕业有太多的事情做不完,恶性循环。

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UltronBrain avatar UltronBrain commented on June 26, 2024

okok,谢谢啦

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