local w2nn = require 'w2nn' local reconstruct = require 'reconstruct' local image = require 'image' local iproc = require 'iproc' local gm = require 'graphicsmagick' alpha_util = {} function alpha_util.make_border(rgb, alpha, offset) if not alpha then return rgb end local sum2d = nn.SpatialConvolutionMM(1, 1, 3, 3, 1, 1, 1, 1):cuda() sum2d.weight:fill(1) sum2d.bias:zero() local mask = alpha:clone() mask[torch.gt(mask, 0.0)] = 1 mask[torch.eq(mask, 0.0)] = 0 local mask_nega = (mask - 1):abs():byte() local eps = 1.0e-7 rgb = rgb:clone() rgb[1][mask_nega] = 0 rgb[2][mask_nega] = 0 rgb[3][mask_nega] = 0 for i = 1, offset do local mask_weight = sum2d:forward(mask:cuda()):float() local border = rgb:clone() for j = 1, 3 do border[j]:copy(sum2d:forward(rgb[j]:reshape(1, rgb:size(2), rgb:size(3)):cuda())) border[j]:cdiv((mask_weight + eps)) rgb[j][mask_nega] = border[j][mask_nega] end mask = mask_weight:clone() mask[torch.gt(mask_weight, 0.0)] = 1 mask_nega = (mask - 1):abs():byte() end rgb[torch.gt(rgb, 1.0)] = 1.0 rgb[torch.lt(rgb, 0.0)] = 0.0 return rgb end function alpha_util.composite(rgb, alpha, model2x) if not alpha then return rgb end if not (alpha:size(2) == rgb:size(2) and alpha:size(3) == rgb:size(3)) then if model2x then alpha = reconstruct.scale(model2x, 2.0, alpha) else alpha = gm.Image(alpha, "I", "DHW"):size(rgb:size(3), rgb:size(2), "Sinc"):toTensor("float", "I", "DHW") end end local out = torch.Tensor(4, rgb:size(2), rgb:size(3)) out[1]:copy(rgb[1]) out[2]:copy(rgb[2]) out[3]:copy(rgb[3]) out[4]:copy(alpha) return out end local function test() require 'sys' require 'trepl' torch.setdefaulttensortype("torch.FloatTensor") local image_loader = require 'image_loader' local rgb, alpha = image_loader.load_float("alpha.png") local t = sys.clock() rgb = alpha_util.make_border(rgb, alpha, 7) print(sys.clock() - t) print(rgb:min(), rgb:max()) image.display({image = rgb, min = 0, max = 1}) image.save("out.png", rgb) end --test() return alpha_util