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Upscale low res card images to high res using Deep Learning

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Re: Upscale low res card images to high res using Deep Learn

Postby MaxMtg » 03 Nov 2017, 10:52

It's easier to get images from scryfall
https://scryfall.com/sets/ddt
https://scryfall.com/sets/cma
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Re: Upscale low res card images to high res using Deep Learn

Postby austinio7116 » 03 Nov 2017, 10:54

They are easy to get, but they are just bicubic upsampled gatherer images as far as I can see.
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Re: Upscale low res card images to high res using Deep Learn

Postby austinio7116 » 03 Nov 2017, 11:59

I'll give them a go anyway when I have time, it will be an interesting experiment.
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Re: Upscale low res card images to high res using Deep Learn

Postby austinio7116 » 04 Nov 2017, 20:17

The results of upsampling the lower res gatherer images were very poor - the network was specifically trained for the 370*265 images and would need to be retrained for the gatherer images.
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Re: Upscale low res card images to high res using Deep Learn

Postby kudit » 04 Nov 2017, 20:21

If it can be trained with gatherer images, that could be useful as there are many foreign language cards that would be very nice to have higher res.
Please give feedback on our card database at http://www.deckmaster.info
Send comments via PM here or info@deckmaster.info
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Re: Upscale low res card images to high res using Deep Learn

Postby austinio7116 » 24 Nov 2017, 21:20

Just for fun I ran the unstable spoilers through the network. I had to make a few changes to the script to ensure full coverage of the full art images (previously I was stamping a black border over the top so it didn't matter that the patch based approach did not divide evenly across the images full width). I have prepared the images in various resolutions, but here are a couple of the 300dpi jpgs:

Animate Library.full.png.xhlq.jpg

Half-Kitten, Half-.full.png.xhlq.jpg

Dual Doomsuits.full.png.xhlq.jpg

Mountain1.full.png.xhlq.jpg
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Re: Upscale low res card images to high res using Deep Learn

Postby austinio7116 » 24 Nov 2017, 22:42

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