open source pkg v1

pkg/OpenFace/matlab_version/fitting/PatchResponseCEN.m

@@ -0,0 +1,59 @@
+function [ responses ] = PatchResponseCEN(patches, patch_experts_class, visibilities, patchExperts, window_size)
+%PATCHRESPONSESVM Summary of this function goes here
+%   Detailed explanation goes here
+
+    normalisationOptions = patchExperts.normalisationOptionsCol;
+    patchSize = normalisationOptions.patchSize;
+                  
+    responses = cell(size(patches, 1), 1);
+    empty = zeros(window_size(1)-patchSize(1)+1, window_size(2)-patchSize(2)+1);
+    
+    for i = 1:numel(patches(:,1))
+        responses{i} = empty;
+        if visibilities(i)
+                        
+            col_norm = normalisationOptions.useNormalisedCrossCorr == 1;
+
+            smallRegionVec = patches(i,:);
+            smallRegion = reshape(smallRegionVec, window_size(1), window_size(2));
+
+            patch = im2col_mine(smallRegion, patchSize)';
+            
+            % Normalize
+            if(col_norm)
+                mean_curr = mean(patch, 2);
+                patch_normed = patch - repmat(mean_curr, 1, patchSize(1)* patchSize(2));
+
+                % Normalising the patches using the L2 norm
+                scaling = sqrt(sum(patch_normed.^2,2));
+                scaling(scaling == 0) = 1;
+
+                patch_normed = patch_normed ./ repmat(scaling, 1, 11 * 11);
+
+                patch = patch_normed;
+            end
+            patch = patch';
+            % Add bias
+            patch_normed = cat(1, ones(1, size(patch,2)), patch);
+            weights = patch_experts_class{i};
+            % Where DNN will happen
+            for w =1:numel(weights)/2
+                
+                % mult and bias
+                patch_normed = weights{(w-1)*2+1}' * patch_normed + repmat(weights{(w-1)*2+2}', 1, size(patch_normed,2));
+
+                if w < 3
+%                    patch_normed(patch_normed < 0) = 0;
+                   patch_normed = max(0, patch_normed);
+                else
+                   patch_normed = 1./(1+exp(-patch_normed));
+                end
+
+            end
+            
+            responses{i}(:) = reshape(patch_normed', window_size(1)-patchSize(1)+1, window_size(2)-patchSize(2)+1);
+            
+        end
+    end
+    
+end