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function extractFeature(imageName,conf)
for featName = conf.featNames
clear feat
clear hists
clear temp
featName = char(featName);
feat_fname = fullfile(conf.featPath, featName, [imageName '.mat']);
if ~exist(feat_fname,'file')
if 0==exist('im','var')
% load image
try
% important to use im2double
im = im2double(imread(fullfile(conf.imagePath, [imageName '.jpg'])));
catch
disp(['ERROR: cannot open image ' imageName]);
return;
end
% resize
max_size = 640;
h = size(im,1);
w = size(im,2);
scale_f = min(max_size/h,max_size/w);
if scale_f < 1
im = imresize(im, scale_f);
end
end
tic
% Extraction
[feat boxes] = feval(conf.(featName).extractFn, conf.(featName), im) ;
if conf.(featName).outside_quantization
% compute hist
temp = getRoiHistsFeat(feat.words, conf.(featName), conf.(featName).pyrLevels, boxes, 'vocabWeights', []) ;
clear feat;
% fix output format
for li=1:length(conf.(featName).pyrLevels)
histName = sprintf('L%d', conf.(featName).pyrLevels(li)) ;
feat.hists.(histName) = temp{li};
end
end
ssave(feat_fname, '-STRUCT', 'feat') ;
fprintf('image %s feature %s time %f \n', imageName, featName, toc);
end
end |