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README.md
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@@ -16,7 +16,7 @@ A sisr validation set for iqa metrics, consisting of one hundred 480x480px HR im
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## Background
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Sisr iqa metric sets commonly used in papers incluse Set5, Set15, BSD100, Urban100 and Manga109.
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Of these, when working on my latest pretrains like the SRVGGNet one, [2xBHI_small_compact_pretrain](https://github.com/Phhofm/models/releases/tag/2xBHI_small_compact_pretrain) or the RealPLKSR one []() I was using Urban100 for validation to have reference points.
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But what bothered me is its non-uniformity in regards to image dimensions. The img004.png HR file (from the benchmark.zip file on the [DAT repo](https://github.com/zhengchen1999/DAT)) being 1024x681px, which is not divisible by 2 nor 4. This can lead to problems when downscaling. I was not able to match the official x4 of that image, neither with pillow bicubic nor with mitchell nor with any other downsampling algorithm. Seems like matlab bicubic gives a different result than pillow bicubic in this case.
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## Background
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Sisr iqa metric sets commonly used in papers incluse Set5, Set15, BSD100, Urban100 and Manga109.
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+
Of these, when working on my latest pretrains like the SRVGGNet one, [2xBHI_small_compact_pretrain](https://github.com/Phhofm/models/releases/tag/2xBHI_small_compact_pretrain) or the RealPLKSR one [2xBHI_small_realplksr_dysample_pretrain](https://github.com/Phhofm/models/releases/tag/2xBHI_small_realplksr_dysample_pretrain) I was using Urban100 for validation to have reference points.
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But what bothered me is its non-uniformity in regards to image dimensions. The img004.png HR file (from the benchmark.zip file on the [DAT repo](https://github.com/zhengchen1999/DAT)) being 1024x681px, which is not divisible by 2 nor 4. This can lead to problems when downscaling. I was not able to match the official x4 of that image, neither with pillow bicubic nor with mitchell nor with any other downsampling algorithm. Seems like matlab bicubic gives a different result than pillow bicubic in this case.
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