51 lines
1.8 KiB
Matlab
51 lines
1.8 KiB
Matlab
% Working out corrections for head pose and model correlations
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clear
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%%
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% first need to run run_clm_head_pose_tests_clnf
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if(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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resFolderBUclnf_general = [database_root, '/bu/uniform-light/CLMr3/'];
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[~, pred_hp_bu, gt_hp_bu, ~, rels_bu] = calcBUerror(resFolderBUclnf_general, buDir);
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biwi_dir = '/biwi pose/';
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biwi_results_root = '/biwi pose results/';
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res_folder_clnf_general = '/biwi pose results//CLMr4/';
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[~, pred_hp_biwi, gt_hp_biwi, ~, ~, rels_biwi] = calcBiwiError([database_root res_folder_clnf_general], [database_root biwi_dir]);
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ict_dir = ['ict/'];
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ict_results_root = ['ict results/'];
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res_folder_ict_clnf_general = 'ict results//CLMr4/';
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[~, pred_hp_ict, gt_hp_ict, ~, ~, rel_ict] = calcIctError([database_root res_folder_ict_clnf_general], [database_root ict_dir]);
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% Finding matching pairs to make sure they are independently distributed?
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%
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%%
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all_hps = cat(1, pred_hp_bu, pred_hp_biwi, pred_hp_ict);
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all_gts = cat(1, gt_hp_bu, gt_hp_biwi, gt_hp_ict);
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all_rels = cat(1, rels_bu, rels_biwi, rel_ict);
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rel_frames = all_rels > 0.8;
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all_err = mean(abs(all_gts - all_hps), 2);
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all_hps = all_hps(rel_frames, :);
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all_gts = all_gts(rel_frames, :);
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% Variation along pitch when others are close to 0
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pitch_bins = [-40:5:40];
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for p = pitch_bins
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rel_frames = find(abs(all_gts(:,2))<3 & abs(all_gts(:,3))<3 & abs(all_gts(:,1) - p)<3);
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if ~isempty(rel_frames)
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corr_coeff = corr(all_hps(rel_frames,1), all_gts(rel_frames,1));
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fprintf('%d, %.3f\n', numel(rel_frames), corr_coeff);
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end
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end
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plot(find(abs(all_gts(:,1))<1 & abs(all_gts(:,3))<1));
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plot(find(abs(all_gts(:,1))<1 & abs(all_gts(:,2))<1)); |