56 lines
2.2 KiB
Matlab
56 lines
2.2 KiB
Matlab
clear;
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% fitting parameters more suitable for clnf
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%%
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% Run the BU test with clnf
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if exist('D:/Datasets/HeadPose', 'file')
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database_root = 'D:/Datasets/HeadPose/';
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elseif(exist([getenv('USERPROFILE') '/Dropbox/AAM/test data/'], 'file'))
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database_root = [getenv('USERPROFILE') '/Dropbox/AAM/test data/'];
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else
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database_root = 'F:/Dropbox/Dropbox/AAM/test data/';
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end
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buDir = [database_root, '/bu/uniform-light/'];
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% The fast and accurate clnf
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%%
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v = 3;
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[fps_bu_OF, resFolderBU_OF] = run_bu_experiment(buDir, false, v, 'model', 'model/main_clnf_general.txt');
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[bu_error_OF, pred_hp_bu, gt_hp_bu, all_errors_bu_OF, rels_bu] = calcBUerror(resFolderBU_OF, buDir);
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%%
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% Run the Biwi test
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biwi_dir = '/biwi pose/';
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biwi_results_root = '/biwi pose results/';
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% Intensity
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v = 4;
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[fps_biwi_OF, res_folder_OF] = run_biwi_experiment(database_root, biwi_dir, biwi_results_root, false, false, v, 'model', 'model/main_clnf_general.txt');
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% Calculate the resulting errors
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[biwi_error_OF, pred_hp_biwi, gt_hp_biwi, ~, all_errors_biwi_OF, rels_biwi] = calcBiwiError([database_root res_folder_OF], [database_root biwi_dir]);
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%% Run the ICT test
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ict_dir = ['ict/'];
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ict_results_root = ['ict results/'];
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v = 4;
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% Intensity
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[fps_ict_OF, res_folder_ict_OF] = run_ict_experiment(database_root, ict_dir, ict_results_root, false, false, v, 'model', 'model/main_clnf_general.txt');
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% Calculate the resulting errors
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[ict_error_OF, pred_hp_ict, gt_hp_ict, ~, all_errors_ict_OF, rel_ict] = calcIctError([database_root res_folder_ict_OF], [database_root ict_dir]);
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%% Save the results
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filename = 'results/Pose_OF';
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save(filename);
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% Also save them in a reasonable .txt format for easy comparison
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f = fopen('results/Pose_OF.txt', 'w');
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fprintf(f, 'Dataset and model, pitch, yaw, roll, mean, median\n');
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fprintf(f, 'biwi error: %.3f, %.3f, %.3f, %.3f, %.3f\n', biwi_error_OF, mean(all_errors_biwi_OF(:)), median(all_errors_biwi_OF(:)));
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fprintf(f, 'bu error: %.3f, %.3f, %.3f, %.3f, %.3f\n', bu_error_OF, mean(all_errors_bu_OF(:)), median(all_errors_bu_OF(:)));
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fprintf(f, 'ict error: %.3f, %.3f, %.3f, %.3f, %.3f\n', ict_error_OF, mean(all_errors_ict_OF(:)), median(all_errors_ict_OF(:)));
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fclose(f);
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clear 'f' |