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evalFmeasure.m
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evalFmeasure.m
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%% This is a modified version of the original code
clear all
close all;clc;
methods = {'HS', 'DRFI', 'CPD', 'ELD'};
datasets = {'PASCAL_S', 'ECSSD', 'DUTS_Test', 'HKU_IS', 'DUT_OMRON'};
for dataset_id = 1:length(datasets)
for method_id = 1:length(methods)
fprintf('Evaluate %s on %s\n', methods{method_id}, datasets{dataset_id});
savepath = ['./results/', methods{method_id}, '/', datasets{dataset_id}, '/', 'F_Measure/']; % save path of the 256 combinations of precision-recall values
if ~exist(savepath,'dir')
mkdir(savepath);
end
results_pr_path = ['./results/', methods{method_id}, '/', datasets{dataset_id}, '/PRcurve/'];
pr_file = [methods{method_id}, '_', datasets{dataset_id}, '_PRCurve.txt'];
pr_file_path = [results_pr_path, pr_file];
PR_list = load(pr_file_path);
%f_m = double.empty();
%for i = 1:length(PR_list)
% p = PR_list(i, 1);
% r = PR_list(i, 2);
% f_m(i) = 1.3*p*r/(0.3*p+r);
%end
p = PR_list(:, 1);
r = PR_list(:, 2);
f_m = 1.3.*p.*r./(0.3.*p+r);
average_f_m = mean(f_m);
max_f_m = max(f_m);
fprintf(' max fmeasure=%f\n',max_f_m);
save([savepath methods{method_id} '_' datasets{dataset_id} '_F_Measure'],'p','r','f_m');
av_f_m_file = fopen([savepath methods{method_id} '_' datasets{dataset_id} '_Average_F_Measure.txt'], 'wt');
fprintf(av_f_m_file, '%f\n', average_f_m);
max_f_m_file = fopen([savepath methods{method_id} '_' datasets{dataset_id} '_Max_F_Measure.txt'], 'wt');
fprintf(max_f_m_file, '%f\n', max_f_m);
disp('Done');
end
end