sustaining_gazes/matlab_runners/Demos/feature_extraction_demo_vid.m

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2016-04-28 21:40:36 +02:00
clm_exe = '"../../x64/Release/FeatureExtraction.exe"';
output = './output_features_vid/';
if(~exist(output, 'file'))
mkdir(output)
end
in_files = dir('../../videos/1815_01_008_tony_blair.avi');
% some parameters
verbose = true;
command = clm_exe;
command = cat(2, command, ' -rigid ');
% 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_files)
inputFile = ['../../videos/', in_files(i).name];
[~, name, ~] = fileparts(inputFile);
% where to output tracking results
outputFile = [output name '.txt'];
if(~exist([output name], 'file'))
mkdir([output name]);
end
outputDir_aligned = [output name];
outputHOG_aligned = [output name '.hog'];
output_shape_params = [output name '.params.txt'];
command = cat(2, command, [' -f "' inputFile '" -of "' outputFile '"']);
command = cat(2, command, [' -simalign "' outputDir_aligned '" -hogalign "' outputHOG_aligned '"' ]);
end
dos(command);
%% 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(time, 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(time, 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)');
%% Demo gaze
gaze_inds = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'gaze_'));
% Read gaze (x,y,z) for one eye and (x,y,z) for another
gaze = all_params(valid_frames, gaze_inds);
% only picking left, right and up down views for visualisation
gaze = (gaze(:,[1,2]) + gaze(:,[4,5]))/2;
gaze(:,1) = smooth(gaze(:,1));
gaze(:,2) = smooth(gaze(:,2));
plot(time, gaze(:,1), 'DisplayName', 'Left - right');
hold on;
plot(time, gaze(:,2), 'DisplayName', 'Up - down');
xlabel('Time(s)') % x-axis label
ylabel('Gaze vector size') % y-axis label
legend('show');
hold off;
%% 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