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Add -tta and -resize_blur option to benchmark

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nagadomi 2016-06-02 10:15:54 +09:00
parent abae4cb855
commit 5e222a3981
1 changed files with 15 additions and 6 deletions
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21
tools/benchmark.lua
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@ -19,6 +19,7 @@ cmd:option("-model1_dir", "./models/anime_style_art_rgb", 'model1 directory')
cmd:option("-model2_dir", "", 'model2 directory (optional)')
cmd:option("-method", "scale", '(scale|noise)')
cmd:option("-filter", "Catrom", "downscaling filter (Box|Lanczos|Catrom(Bicubic))")
cmd:option("-resize_blur", 1.0, 'blur parameter for resize')
cmd:option("-color", "y", '(rgb|y)')
cmd:option("-noise_level", 1, 'model noise level')
cmd:option("-jpeg_quality", 75, 'jpeg quality')
@ -34,6 +35,7 @@ cmd:option("-baseline_filter", "Catrom", 'baseline interpolation (Box|Lanczos|Ca
cmd:option("-save_info", 0, 'save score and parameters to benchmark.txt')
cmd:option("-save_all", 0, 'group -save_info, -save_image and -save_baseline_image option')
cmd:option("-thread", -1, 'number of CPU threads')
cmd:option("-tta", 0, 'tta')
local function to_bool(settings, name)
if settings[name] == 1 then
@ -50,6 +52,7 @@ if cudnn then
end
to_bool(opt, "gamma_correction")
to_bool(opt, "save_all")
to_bool(opt, "tta")
if opt.save_all then
opt.save_image = true
opt.save_info = true
@ -123,12 +126,12 @@ local function transform_scale(x, opt)
return iproc.scale_with_gamma22(x,
x:size(3) * 0.5,
x:size(2) * 0.5,
opt.filter)
opt.filter, opt.resize_blur)
else
return iproc.scale(x,
x:size(3) * 0.5,
x:size(2) * 0.5,
opt.filter)
opt.filter, opt.resize_blur)
end
end
@ -139,6 +142,12 @@ local function benchmark(opt, x, input_func, model1, model2)
local model1_psnr = 0
local model2_psnr = 0
local baseline_psnr = 0
local scale_f = reconstruct.scale
local image_f = reconstruct.image
if opt.tta then
scale_f = reconstruct.scale_tta
image_f = reconstruct.image_tta
end
for i = 1, #x do
local ground_truth = x[i].image
@ -149,14 +158,14 @@ local function benchmark(opt, x, input_func, model1, model2)
input = input_func(ground_truth, opt)
t = sys.clock()
if input:size(3) == ground_truth:size(3) then
model1_output = reconstruct.image(model1, input)
model1_output = image_f(model1, input)
if model2 then
model2_output = reconstruct.image(model2, input)
model2_output = image_f(model2, input)
end
else
model1_output = reconstruct.scale(model1, 2.0, input)
model1_output = scale_f(model1, 2.0, input)
if model2 then
model2_output = reconstruct.scale(model2, 2.0, input)
model2_output = scale_f(model2, 2.0, input)
end
baseline_output = baseline_scale(input, opt.baseline_filter)
end