matlab-基于深度残差网络的人脸眼睛定位算法matlab仿真-源码

function Coords = eye_localization(Im,net) g = fspecial('gaussian',17,3); Coords = zeros(1,4); size_x=64; size_y=96; %Face detection using Viola and Jones algorithm [I,bboxes{1}]=face_detect(Im); % If the face is not detected, continue. if I==0 fprintf('Face not found\n'); else % If the face is detected for i=1:2 [Eye,bboxes{i+1}]=getEye(Im,bboxes{1},i); % Resize image [a_x,a_y] = size(Eye,1:2); scale_x = a_x/size_x; scale_y = a_y/size_y; Eye = imresize(Eye,[size_x,size_y]); % Convert to grayscale if size(Eye,3)>1 Eye = rgb2gray(Eye); end % Estimate heatmap I = predict(net,Eye); % Smooth estimated heatmap I=imfilter(I,g,'conv'); % Find coordinates of global maximum [y,x]=find(I==max(I(:)),1); x = x*scale_x; y = y*scale_y; Coords(2*(i-1)+1)=x+bboxes{1+i}(1)-1; Coords(2*i)=y+bboxes{1+i}(2)-1; end end end