Comments (5)
@wyuzl DF2K下载和处理可以参考BasicSR。ImageNet直接从官网下载后参考上述链接制作meta_info文件即可。
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感谢您的回答,在论文中,您提到了对input做了数据增强,但我们在代码中没有找到这部分的操作,为了能够保持数据和参数的一致性,所以才询问您是否能够提供完整的制作好的数据集,方便做模型的复现,以及在此工作上的一些改进,谢谢
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@wyuzl 数据增强在代码中有体现,具体实现你可以参考源码paired_image_dataset.py。提供的训练option文件里默认是打开数据增强的,不需要额外设置。数据集本身并没有做增强处理,按照上个回复提供的链接制作就行。制作好的DF2K sub-images体积过大,不方便上传。
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感谢您的回答,还有个疑问,论文中说 “DF2K (DIV2K [31]+Flicker2K [47]) with 3360 images” ,使用了3360张HR,但是800+2650=3450 ?
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@wyuzl 检查了一下确实是3450。这里是错算成了2560+800=3360...
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