compute_abo_candidates.m

function compute_abo_candidates(testset, config)

num_images = numel(testset.impos);
candidates_thresholds = round(10 .^ (0:0.5:4))
num_candidates_thresholds = numel(candidates_thresholds);

proposalNames = fieldnames(config);
proposalsToEvaluate=proposalNames(3:end-1);

for i = 1:length(proposalsToEvaluate)
	method = config.(char(proposalsToEvaluate{i}));
	candidate_dir=[config.outputLocation '/' proposalsToEvaluate{i}];
	fileName=[ candidate_dir '/' 'abo_candidates.mat']; 
    try
	method=config.(char(proposalsToEvaluate(i)))
	load(fileName, 'abo_candidates');
        continue;
    catch
       abo_candidates = [];
       abo_candidates(num_candidates_thresholds).candidates_threshold = [];
       abo_candidates(num_candidates_thresholds).candidates = [];
       for i = 1:num_candidates_thresholds
                abo_candidates(i).candidates_threshold = candidates_thresholds(i);
                abo_candidates(i).candidates = cell(num_images, 1);
       end
       for i=1:num_images
                img_id =testset.impos(i).im;
                for j=1:num_candidates_thresholds
                        [candidates, scores] = get_candidates(candidate_dir, method, img_id, candidates_thresholds(j), true);
                         abo_candidates(j).candidates{i}=candidates;
                end
                r=rem(i,1000);
                if(r==0)
                	fprintf('done with image :%s,%s\n',img_id,char(method.opts.name));
		end
       end
     parsave(fileName, abo_candidates);
   end

  end
end

function parsave(fileName, data)

 var_name=genvarname(inputname(2));
 eval([var_name '=data'])
 save(fileName,var_name,'-v7.3');

end