sustaining_gazes/matlab_runners/Demos/feature_extraction_demo_img_seq.m

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clear
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
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output = './output_features_seq/';
if(~exist(output, 'file'))
mkdir(output)
end
in_dirs = {'../../image_sequence'};
% some parameters
verbose = true;
command = executable;
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% Remove for a speedup
command = cat(2, command, ' -verbose ');
% add all videos to single argument list (so as not to load the model anew
% for every video)
for i=1:numel(in_dirs)
[~, name, ~] = fileparts(in_dirs{i});
% where to output tracking results
outputFile = [output name '.txt'];
outputDir_aligned = [output name];
outputHOG_aligned = [output name '.hog'];
command = cat(2, command, ['-asvid -fdir "' in_dirs{i} '" -of "' outputFile '" ']);
command = cat(2, command, [' -simalign "' outputDir_aligned '" -simsize 200 -hogalign "' outputHOG_aligned '"']);
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end
if(isunix)
unix(command);
else
dos(command);
end
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%% Demonstrating reading the output files
% First read in the column names
tab = readtable(outputFile);
column_names = tab.Properties.VariableNames;
all_params = dlmread(outputFile, ',', 1, 0);
% This indicates which frames were succesfully tracked
valid_frames = logical(all_params(:,4));
time = all_params(valid_frames, 2);
%% Finding which header line starts with p_ (basically model params)
shape_inds = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'p_'));
% Output rigid (first 6) and non-rigid shape parameters
shape_params = all_params(valid_frames, shape_inds);
figure
plot(time, shape_params);
title('Shape parameters');
xlabel('Time (s)');
%% Demonstrate 2D landmarks
landmark_inds_x = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'x_'));
landmark_inds_y = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'y_'));
xs = all_params(valid_frames, landmark_inds_x);
ys = all_params(valid_frames, landmark_inds_y);
figure
for j = 1:size(xs,1)
plot(xs(j,:), -ys(j,:), '.');
xlim([min(xs(1,:)) * 0.5, max(xs(2,:))*1.4]);
ylim([min(-ys(1,:)) * 1.4, max(-ys(2,:))*0.5]);
xlabel('x (px)');
ylabel('y (px)');
drawnow
end
%% Demonstrate 3D landmarks
landmark_inds_x = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'X_'));
landmark_inds_y = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'Y_'));
landmark_inds_z = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'Z_'));
xs = all_params(valid_frames, landmark_inds_x);
ys = all_params(valid_frames, landmark_inds_y);
zs = all_params(valid_frames, landmark_inds_z);
figure
for j = 1:size(xs,1)
plot3(xs(j,:), ys(j,:), zs(j,:), '.');axis equal;
xlabel('X (mm)');
ylabel('Y (mm)');
zlabel('Z (mm)');
drawnow
end
%% Demonstrate AUs
au_reg_inds = cellfun(@(x) ~isempty(x) && x==5, strfind(column_names, '_r'));
aus = all_params(valid_frames, au_reg_inds);
figure
plot(aus);
title('Facial Action Units (intensity)');
xlabel('Time (s)');
ylabel('Intensity');
ylim([0,6]);
au_class_inds = cellfun(@(x) ~isempty(x) && x==5, strfind(column_names, '_c'));
aus = all_params(valid_frames, au_class_inds);
figure
plot(aus);
title('Facial Action Units (presense)');
xlabel('Time (s)');
ylim([0,2]);
%% Demo pose
pose_inds = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'pose_'));
pose = all_params(valid_frames, pose_inds);
figure
plot(pose);
title('Pose (rotation and translation)');
xlabel('Time (s)');
%% Output HOG files
[hog_data, valid_inds, vid_id] = Read_HOG_files({name}, output);
%% Output aligned images
img_files = dir([outputDir_aligned, '/*.png']);
imgs = cell(numel(img_files, 1));
for i=1:numel(img_files)
imgs{i} = imread([ outputDir_aligned, '/', img_files(i).name]);
imshow(imgs{i})
drawnow
end