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Update README.md with more examples and results
Results are computed on luminance channels with EDSR/DIV2K method, instead of RGB before
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Gabriel Gouvine
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Gabriel Gouvine
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May 15, 2021
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,11 +1,26 @@ | ||
| #!/bin/sh | ||
| # Evaluate on luminance channels, removing the border pixel; this is the convention used by most publications | ||
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| for scale in 2 3 4 | ||
| do | ||
| for arch in edsr_baseline edsr ninasr_b0 ninasr_b1 ninasr_b2 rcan rdn carn carn_m | ||
| for dataset in div2k_bicubic | ||
| do | ||
| echo -n "${arch} x${scale}: " | ||
| python main.py --validation-only --arch $arch --scale $scale --chop-size 400 --download-pretrained | ||
| for arch in carn carn_m edsr_baseline edsr ninasr_b0 ninasr_b1 ninasr_b2 rcan rdn | ||
| do | ||
| echo -n "${dataset} ${arch} x${scale}: " | ||
| python main.py --validation-only --arch $arch --scale $scale --dataset-val $dataset --chop-size 400 --download-pretrained --shave-border $scale --eval-luminance | ||
| done | ||
| done | ||
| done | ||
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| for scale in 8 | ||
| do | ||
| for dataset in div2k_bicubic | ||
| do | ||
| for arch in ninasr_b0 ninasr_b1 ninasr_b2 rcan | ||
| do | ||
| echo -n "${dataset} ${arch} x${scale}: " | ||
| python main.py --validation-only --arch $arch --scale $scale --dataset-val $dataset --chop-size 400 --download-pretrained --shave-border $scale --eval-luminance | ||
| done | ||
| done | ||
| done |