clear; %% % Run the BU test with CLM if(exist([getenv('USERPROFILE') '/Dropbox/AAM/test data/'], 'file')) database_root = [getenv('USERPROFILE') '/Dropbox/AAM/test data/']; else database_root = 'F:/Dropbox/Dropbox/AAM/test data/'; end buDir = [database_root, '/bu/uniform-light/']; % The fast and accurate single light models %% v = 1; [fps_bu_general, resFolderBUCLM_general] = run_bu_experiment(buDir, false, v, 'model', 'model/main_clm_general.txt'); [bu_error_clm_svr_general, ~, ~, all_errors_bu_svr_general] = calcBUerror(resFolderBUCLM_general, buDir); %% % Run the CLM-Z and general Biwi test biwi_dir = '/biwi pose/'; biwi_results_root = '/biwi pose results/'; % Intensity v = 1; [fps_biwi_clm, res_folder_clm_biwi] = run_biwi_experiment(database_root, biwi_dir, biwi_results_root, false, false, v, 'model', 'model/main_clm-z.txt'); % Calculate the resulting errors [biwi_error_clm, ~, ~, ~, all_errors_biwi_clm] = calcBiwiError([database_root res_folder_clm_biwi], [database_root biwi_dir]); % Intensity with depth v = 2; [fps_biwi_clmz, res_folder_clmz_biwi] = run_biwi_experiment(database_root, biwi_dir, biwi_results_root, false, true, v, 'model', 'model/main_clm-z.txt'); % Calculate the resulting errors [biwi_error_clmz, ~, ~, ~, all_errors_biwi_clm_z] = calcBiwiError([database_root res_folder_clmz_biwi], [database_root biwi_dir]); %% Run the CLM-Z and general ICT test ict_dir = ['ict/']; ict_results_root = ['ict results/']; v = 1; % Intensity [fps_ict_clm, res_folder_ict_clm] = run_ict_experiment(database_root, ict_dir, ict_results_root, false, false, v, 'model', 'model/main_clm-z.txt'); [ict_error_clm, ~, ~, ~, all_errors_ict_clm] = calcIctError([database_root res_folder_ict_clm], [database_root ict_dir]); v = 2; % Intensity and depth [fps_ict_clmz, res_folder_ict_clmz] = run_ict_experiment(database_root, ict_dir, ict_results_root, false, true, v, 'model', 'model/main_clm-z.txt'); [ict_error_clmz, ~, ~, ~, all_errors_ict_clm_z] = calcIctError([database_root res_folder_ict_clmz], [database_root ict_dir]); %% Save the results v = 1; filename = 'results/Pose_clm'; save(filename); % % Also save them in a reasonable .txt format for easy comparison f = fopen('results/Pose_clm.txt', 'w'); fprintf(f, 'Dataset and model, pitch, yaw, roll, mean, median\n'); fprintf(f, 'biwi error clm: %.3f, %.3f, %.3f, %.3f, %.3f\n', biwi_error_clm, mean(all_errors_biwi_clm(:)), median(all_errors_biwi_clm(:))); fprintf(f, 'biwi error clm-z: %.3f, %.3f, %.3f, %.3f, %.3f\n', biwi_error_clmz, mean(all_errors_biwi_clm_z(:)), median(all_errors_biwi_clm_z(:))); fprintf(f, 'bu error clm general: %.3f, %.3f, %.3f, %.3f, %.3f\n', bu_error_clm_svr_general, mean(all_errors_bu_svr_general(:)), median(all_errors_bu_svr_general(:))); fprintf(f, 'ict error clm: %.3f, %.3f, %.3f, %.3f, %.3f\n', ict_error_clm, mean(all_errors_ict_clm(:)), median(all_errors_ict_clm(:))); fprintf(f, 'ict error clm-z: %.3f, %.3f, %.3f, %.3f, %.3f\n', ict_error_clmz, mean(all_errors_ict_clm_z(:)), median(all_errors_ict_clm_z(:))); fclose(f); clear 'f'