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Code Issues Releases Wiki Activity

Change the sampling method

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nagadomi 2015-12-02 06:53:26 +09:00
parent d08ed3efff
commit 86feb1d4c9
1 changed files with 16 additions and 15 deletions
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31
lib/pairwise_transform.lua
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@ -46,6 +46,10 @@ end
local function active_cropping(x, y, size, p, tries)
assert("x:size == y:size", x:size(2) == y:size(2) and x:size(3) == y:size(3))
local r = torch.uniform()
local t = "float"
if x:type() == "torch.ByteTensor" then
t = "byte"
end
if p < r then
local xi = torch.random(0, y:size(3) - (size + 1))
local yi = torch.random(0, y:size(2) - (size + 1))
@ -53,6 +57,10 @@ local function active_cropping(x, y, size, p, tries)
local yc = iproc.crop(y, xi, yi, xi + size, yi + size)
return xc, yc
else
local lowres = gm.Image(x, "RGB", "DHW"):
size(x:size(3) * 0.5, x:size(2) * 0.5, "Box"):
size(x:size(3), x:size(2), "Box"):
toTensor(t, "RGB", "DHW")
local best_se = 0.0
local best_xc, best_yc
local m = torch.FloatTensor(x:size(1), size, size)
@ -60,13 +68,13 @@ local function active_cropping(x, y, size, p, tries)
local xi = torch.random(0, y:size(3) - (size + 1))
local yi = torch.random(0, y:size(2) - (size + 1))
local xc = iproc.crop(x, xi, yi, xi + size, yi + size)
local yc = iproc.crop(y, xi, yi, xi + size, yi + size)
local lc = iproc.crop(lowres, xi, yi, xi + size, yi + size)
local xcf = iproc.byte2float(xc)
local ycf = iproc.byte2float(yc)
local se = m:copy(xcf):add(-1.0, ycf):pow(2):sum()
local lcf = iproc.byte2float(lc)
local se = m:copy(xcf):add(-1.0, lcf):pow(2):sum()
if se >= best_se then
best_xc = xcf
best_yc = ycf
best_yc = iproc.byte2float(iproc.crop(y, xi, yi, xi + size, yi + size))
best_se = se
end
end
@ -199,17 +207,10 @@ function pairwise_transform.jpeg(src, style, level, size, offset, n, options)
error("unknown noise level: " .. level)
end
elseif style == "photo" then
if level == 1 then
return pairwise_transform.jpeg_(src, {torch.random(70, 90)},
size, offset, n,
options)
elseif level == 2 then
return pairwise_transform.jpeg_(src, {torch.random(50, 70)},
size, offset, n,
options)
else
error("unknown noise level: " .. level)
end
-- level adjusting by -nr_rate
return pairwise_transform.jpeg_(src, {torch.random(50, 75)},
size, offset, n,
options)
else
error("unknown style: " .. style)
end