59 lines
1.9 KiB
Matlab
59 lines
1.9 KiB
Matlab
function scae = scaesetup(cae, x, opts)
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x = x{1};
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for l = 1 : numel(cae)
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cae = cae{l};
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ll= [opts.batchsize size(x{1}, 2) size(x{1}, 3)] + cae.inputkernel - 1;
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X = zeros(ll);
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cae.M = nbmap(X, cae.scale);
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bounds = cae.outputmaps * prod(cae.inputkernel) + numel(x) * prod(cae.outputkernel);
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for j = 1 : cae.outputmaps % activation maps
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cae.a{j} = zeros(size(x{1}) + cae.inputkernel - 1);
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for i = 1 : numel(x) % input map
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cae.ik{i}{j} = (rand(cae.inputkernel) - 0.5) * 2 * sqrt(6 / bounds);
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cae.ok{i}{j} = (rand(cae.outputkernel) - 0.5) * 2 * sqrt(6 / bounds);
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cae.vik{i}{j} = zeros(size(cae.ik{i}{j}));
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cae.vok{i}{j} = zeros(size(cae.ok{i}{j}));
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end
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cae.b{j} = 0;
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cae.vb{j} = zeros(size(cae.b{j}));
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end
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cae.alpha = opts.alpha;
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cae.i = cell(numel(x), 1);
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cae.o = cae.i;
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for i = 1 : numel(cae.o)
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cae.c{i} = 0;
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cae.vc{i} = zeros(size(cae.c{i}));
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end
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ss = cae.outputkernel;
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cae.edgemask = zeros([opts.batchsize size(x{1}, 2) size(x{1}, 3)]);
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cae.edgemask(ss(1) : end - ss(1) + 1, ...
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ss(2) : end - ss(2) + 1, ...
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ss(3) : end - ss(3) + 1) = 1;
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scae{l} = cae;
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end
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function B = nbmap(X,n)
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assert(numel(n)==3,'n should have 3 elements (x,y,z) scaling.');
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X = reshape(1:numel(X),size(X,1),size(X,2),size(X,3));
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B = zeros(size(X,1)/n(1),prod(n),size(X,2)*size(X,3)/prod(n(2:3)));
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u=1;
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p=1;
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for m=1:size(X,1)
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B(u,(p-1)*prod(n(2:3))+1:p*prod(n(2:3)),:) = im2col(squeeze(X(m,:,:)),n(2:3),'distinct');
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p=p+1;
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if(mod(m,n(1))==0)
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u=u+1;
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p=1;
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end
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end
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end
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end
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