136 lines
3.6 KiB
Matlab
136 lines
3.6 KiB
Matlab
executable = '"../../x64/Release/FeatureExtraction.exe"';
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output = './output_features_seq/';
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if(~exist(output, 'file'))
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mkdir(output)
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end
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in_dirs = {'../../image_sequence'};
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% some parameters
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verbose = true;
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command = executable;
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% Remove for a speedup
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command = cat(2, command, ' -verbose ');
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% add all videos to single argument list (so as not to load the model anew
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% for every video)
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for i=1:numel(in_dirs)
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[~, name, ~] = fileparts(in_dirs{i});
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% where to output tracking results
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outputFile = [output name '.txt'];
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outputDir_aligned = [output name];
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outputHOG_aligned = [output name '.hog'];
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command = cat(2, command, ['-asvid -fdir "' in_dirs{i} '" -of "' outputFile '" ']);
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command = cat(2, command, [' -simalign "' outputDir_aligned '" -hogalign "' outputHOG_aligned '"']);
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end
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dos(command);
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%% Demonstrating reading the output files
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% First read in the column names
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tab = readtable(outputFile);
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column_names = tab.Properties.VariableNames;
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all_params = dlmread(outputFile, ',', 1, 0);
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% This indicates which frames were succesfully tracked
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valid_frames = logical(all_params(:,4));
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time = all_params(valid_frames, 2);
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%% Finding which header line starts with p_ (basically model params)
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shape_inds = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'p_'));
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% Output rigid (first 6) and non-rigid shape parameters
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shape_params = all_params(valid_frames, shape_inds);
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figure
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plot(time, shape_params);
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title('Shape parameters');
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xlabel('Time (s)');
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%% Demonstrate 2D landmarks
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landmark_inds_x = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'x_'));
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landmark_inds_y = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'y_'));
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xs = all_params(valid_frames, landmark_inds_x);
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ys = all_params(valid_frames, landmark_inds_y);
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figure
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for j = 1:size(xs,1)
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plot(xs(j,:), -ys(j,:), '.');
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xlim([min(xs(1,:)) * 0.5, max(xs(2,:))*1.4]);
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ylim([min(-ys(1,:)) * 1.4, max(-ys(2,:))*0.5]);
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xlabel('x (px)');
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ylabel('y (px)');
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drawnow
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end
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%% Demonstrate 3D landmarks
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landmark_inds_x = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'X_'));
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landmark_inds_y = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'Y_'));
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landmark_inds_z = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'Z_'));
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xs = all_params(valid_frames, landmark_inds_x);
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ys = all_params(valid_frames, landmark_inds_y);
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zs = all_params(valid_frames, landmark_inds_z);
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figure
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for j = 1:size(xs,1)
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plot3(xs(j,:), ys(j,:), zs(j,:), '.');axis equal;
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xlabel('X (mm)');
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ylabel('Y (mm)');
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zlabel('Z (mm)');
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drawnow
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end
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%% Demonstrate AUs
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au_reg_inds = cellfun(@(x) ~isempty(x) && x==5, strfind(column_names, '_r'));
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aus = all_params(valid_frames, au_reg_inds);
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figure
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plot(aus);
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title('Facial Action Units (intensity)');
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xlabel('Time (s)');
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ylabel('Intensity');
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ylim([0,6]);
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au_class_inds = cellfun(@(x) ~isempty(x) && x==5, strfind(column_names, '_c'));
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aus = all_params(valid_frames, au_class_inds);
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figure
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plot(aus);
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title('Facial Action Units (presense)');
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xlabel('Time (s)');
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ylim([0,2]);
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%% Demo pose
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pose_inds = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'pose_'));
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pose = all_params(valid_frames, pose_inds);
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figure
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plot(pose);
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title('Pose (rotation and translation)');
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xlabel('Time (s)');
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%% Output HOG files
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[hog_data, valid_inds] = Read_HOG_file([output, '/', name, '.hog']);
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%% Output aligned images
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img_files = dir([outputDir_aligned, '/*.png']);
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imgs = cell(numel(img_files, 1));
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for i=1:numel(img_files)
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imgs{i} = imread([ outputDir_aligned, '/', img_files(i).name]);
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imshow(imgs{i})
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drawnow
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end |