sustaining_gazes/matlab_runners/Demos/feature_extraction_demo_img_seq.m

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% A demo script that demonstrates how to process a single video file using
% OpenFace and extract and visualize all of the features
clear
% The location executable will depend on the OS
if(isunix)
executable = '"../../build/bin/FeatureExtraction"';
else
executable = '"../../x64/Release/FeatureExtraction.exe"';
end
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% Input file
in_dir = '../../image_sequence';
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% Where to store the output
output_dir = './processed_features/';
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% This will take directory after -fdir and output all the features to directory
% after -out_dir
command = sprintf('%s -fdir "%s" -out_dir "%s" -verbose', executable, in_dir, output_dir);
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if(isunix)
unix(command);
else
dos(command);
end
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%% Demonstrating reading the output files
% Most of the features will be in the csv file in the output directory with
% the same name as the input file
[~,name,~] = fileparts(in_dir);
output_csv = sprintf('%s/%s.csv', output_dir, name);
% First read in the column names, to know which columns to read for
% particular features
tab = readtable(output_csv);
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column_names = tab.Properties.VariableNames;
% Read all of the data
all_params = dlmread(output_csv, ',', 1, 0);
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% This indicates which frames were succesfully tracked
% Find which column contains success of tracking data and timestamp data
valid_ind = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'success'));
frame_ind = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'frame'));
% Extract tracking success data and only read those frame
valid_frames = logical(all_params(:,valid_ind));
% Get the timestamp data
frame_nums = all_params(valid_frames, frame_ind);
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%% 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(frame_nums, shape_params);
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title('Shape parameters');
xlabel('Frame');
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%% 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);
eye_landmark_inds_x = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'eye_lmk_x_'));
eye_landmark_inds_y = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'eye_lmk_y_'));
eye_xs = all_params(valid_frames, eye_landmark_inds_x);
eye_ys = all_params(valid_frames, eye_landmark_inds_y);
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figure
for j = 1:size(xs,1)
plot(xs(j,:), -ys(j,:), '.');
hold on;
plot(eye_xs(j,:), -eye_ys(j,:), '.r');
hold off;
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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);
eye_landmark_inds_x = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'eye_lmk_X_'));
eye_landmark_inds_y = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'eye_lmk_Y_'));
eye_landmark_inds_z = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'eye_lmk_Z_'));
eye_xs = all_params(valid_frames, eye_landmark_inds_x);
eye_ys = all_params(valid_frames, eye_landmark_inds_y);
eye_zs = all_params(valid_frames, eye_landmark_inds_z);
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figure
for j = 1:size(xs,1)
plot3(xs(j,:), ys(j,:), zs(j,:), '.');axis equal;
hold on;
plot3(eye_xs(j,:), eye_ys(j,:), eye_zs(j,:), '.r');
hold off;
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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(frame_nums, aus);
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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(frame_nums, aus);
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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(frame_nums, pose);
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title('Pose (rotation and translation)');
xlabel('Frame number');
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%% Demo gaze
gaze_inds = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'gaze_angle'));
% Read gaze (x,y,z) for one eye and (x,y,z) for another
gaze = all_params(valid_frames, gaze_inds);
plot(frame_nums, gaze(:,1), 'DisplayName', 'Left - right');
hold on;
plot(frame_nums, gaze(:,2), 'DisplayName', 'Up - down');
xlabel('Frame number') % x-axis label
ylabel('Angle radians') % y-axis label
legend('show');
hold off;
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%% Output HOG files
output_hog_file = sprintf('%s/%s.hog', output_dir, name);
[hog_data, valid_inds] = Read_HOG_file(output_hog_file);
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%% Output aligned images
output_aligned_dir = sprintf('%s/%s_aligned/', output_dir, name);
img_files = dir([output_aligned_dir, '/*.bmp']);
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imgs = cell(numel(img_files, 1));
for i=1:numel(img_files)
imgs{i} = imread([ output_aligned_dir, '/', img_files(i).name]);
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imshow(imgs{i})
drawnow
end