Change the jpeg config for the photo model
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@ -189,13 +189,19 @@ function pairwise_transform.jpeg(src, style, level, size, offset, n, options)
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end
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elseif style == "photo" then
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if level == 1 then
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return pairwise_transform.jpeg_(src, {torch.random(80, 95)},
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return pairwise_transform.jpeg_(src, {torch.random(30, 75)},
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size, offset, n,
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options)
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elseif level == 2 then
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return pairwise_transform.jpeg_(src, {torch.random(65, 85)},
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size, offset, n,
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options)
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if torch.uniform() > 0.6 then
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return pairwise_transform.jpeg_(src, {torch.random(30, 60)},
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size, offset, n, options)
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else
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local quality1 = torch.random(40, 60)
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local quality2 = quality1 - torch.random(5, 10)
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return pairwise_transform.jpeg_(src, {quality1, quality2},
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size, offset, n, options)
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end
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else
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error("unknown noise level: " .. level)
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end
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@ -2,5 +2,8 @@
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th convert_data.lua -data_dir ./data/ukbench
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th train.lua -method scale -data_dir ./data/ukbench -model_dir models/ukbench -test images/lena.jpg -thread 4
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#th train.lua -style photo -method noise -noise_level 2 -data_dir ./data/ukbench -model_dir models/ukbench -test images/lena.png -nr_rate 0.9 -jpeg_sampling_factors 420 # -thread 4 -backend cudnn
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#th tools/cleanup_model.lua -model models/ukbench/noise2_model.t7 -oformat ascii
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th train.lua -method scale -data_dir ./data/ukbench -model_dir models/ukbench -test images/lena.jpg # -thread 4 -backend cudnn
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th tools/cleanup_model.lua -model models/ukbench/scale2.0x_model.t7 -oformat ascii
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