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Why not using 512 x 384 images of koniq10k to avoid resizing? #22

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pencilzhang opened this issue Dec 9, 2020 · 2 comments
Open

Why not using 512 x 384 images of koniq10k to avoid resizing? #22

pencilzhang opened this issue Dec 9, 2020 · 2 comments

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@pencilzhang
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pencilzhang commented Dec 9, 2020 •
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Hi, thanks for your IQA work!
I noticed that you resize the input image of koniq-10k dataset.
Since there are two resolutions of data in koniq-10k dataset, if you use 512 x 384 as input size, why not using 512 x 384 image size provided by koniq-10k ?
@pencilzhang pencilzhang changed the title which koniq-10k data do you use for training? Why not using 512 x 384 images to avoid resizing? Dec 9, 2020
@pencilzhang pencilzhang changed the title Why not using 512 x 384 images to avoid resizing? Why not using 512 x 384 images of koniq10k to avoid resizing? Dec 9, 2020
@SSL92
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SSL92 commented Dec 11, 2020

Sure you can use 512x384 images for directly training, it's just because we only downloaded the images of 1024x768 resolution...

@pencilzhang
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@SSL92 ok thanks for you response.

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@pencilzhang @SSL92