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Some work on demo scripts and according bug fixes

This commit is contained in:
Tadas Baltrusaitis 2017-11-23 17:44:27 +00:00
parent d6dd2f9a45
commit 412cf4ff04
5 changed files with 133 additions and 50 deletions
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10
lib/local/Utilities/src/RecorderOpenFaceParameters.cpp
View File

@ -44,8 +44,14 @@ RecorderOpenFaceParameters::RecorderOpenFaceParameters(std::vector<std::string>
this->is_sequence = sequence;
this->fps_vid_out = fps_vid_out;
if(fps_vid_out > 0)
{
this->fps_vid_out = fps_vid_out;
}
else
{
this->fps_vid_out = 30; // If an illegal value for fps provided, default to 30
}
// Default output code
this->output_codec = "DIVX";

11
lib/local/Utilities/src/SequenceCapture.cpp
View File

@ -403,7 +403,6 @@ void SequenceCapture::SetCameraIntrinsics(float fx, float fy, float cx, float cy
cv::Mat SequenceCapture::GetNextFrame()
{
frame_num++;
if (is_webcam || !is_image_seq)
{
@ -429,19 +428,23 @@ cv::Mat SequenceCapture::GetNextFrame()
}
else if (is_image_seq)
{
if (image_files.empty() || frame_num - 1 > image_files.size())
if (image_files.empty() || frame_num >= image_files.size())
{
// Indicate lack of success by returning an empty image
latest_frame = cv::Mat();
}
latest_frame = cv::imread(image_files[frame_num-1], -1);
else
{
latest_frame = cv::imread(image_files[frame_num], -1);
}
time_stamp = 0;
}
// Set the grayscale frame
convertToGrayscale(latest_frame, latest_gray_frame);
frame_num++;
return latest_frame;
}

115
matlab_runners/Demos/feature_extraction_demo_img_seq.m
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@ -1,44 +1,25 @@
% 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
output = './output_features_seq/';
% Input file
in_dir = '../../image_sequence';
if(~exist(output, 'file'))
mkdir(output)
end
in_dirs = {'../../image_sequence'};
% some parameters
verbose = true;
% Where to store the output
output_dir = './processed_features/';
command = executable;
% 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 '"']);
% 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);
end
if(isunix)
unix(command);
else
@ -47,15 +28,30 @@ end
%% Demonstrating reading the output files
% First read in the column names
tab = readtable(outputFile);
% 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_file);
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);
column_names = tab.Properties.VariableNames;
all_params = dlmread(outputFile, ',', 1, 0);
% Read all of the data
all_params = dlmread(output_csv, ',', 1, 0);
% This indicates which frames were succesfully tracked
valid_frames = logical(all_params(:,4));
time = all_params(valid_frames, 2);
% Find which column contains success of tracking data and timestamp data
valid_ind = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'success'));
time_stamp_ind = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'timestamp'));
% Extract tracking success data and only read those frame
valid_frames = logical(all_params(:,valid_ind));
% Get the timestamp data
time_stamps = all_params(valid_frames, time_stamp_ind);
%% Finding which header line starts with p_ (basically model params)
shape_inds = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'p_'));
@ -64,7 +60,7 @@ shape_inds = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'p_'));
shape_params = all_params(valid_frames, shape_inds);
figure
plot(time, shape_params);
plot(time_stamps, shape_params);
title('Shape parameters');
xlabel('Time (s)');
@ -75,10 +71,20 @@ 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);
figure
for j = 1:size(xs,1)
plot(xs(j,:), -ys(j,:), '.');
hold on;
plot(eye_xs(j,:), -eye_ys(j,:), '.r');
hold off;
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)');
@ -96,9 +102,20 @@ 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);
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;
xlabel('X (mm)');
ylabel('Y (mm)');
zlabel('Z (mm)');
@ -110,7 +127,7 @@ au_reg_inds = cellfun(@(x) ~isempty(x) && x==5, strfind(column_names, '_r'));
aus = all_params(valid_frames, au_reg_inds);
figure
plot(aus);
plot(time, aus);
title('Facial Action Units (intensity)');
xlabel('Time (s)');
ylabel('Intensity');
@ -120,7 +137,7 @@ au_class_inds = cellfun(@(x) ~isempty(x) && x==5, strfind(column_names, '_c'));
aus = all_params(valid_frames, au_class_inds);
figure
plot(aus);
plot(time, aus);
title('Facial Action Units (presense)');
xlabel('Time (s)');
ylim([0,2]);
@ -133,14 +150,30 @@ plot(pose);
title('Pose (rotation and translation)');
xlabel('Time (s)');
%% 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(time, gaze(:,1), 'DisplayName', 'Left - right');
hold on;
plot(time, gaze(:,2), 'DisplayName', 'Up - down');
xlabel('Time(s)') % x-axis label
ylabel('Angle radians') % y-axis label
legend('show');
hold off;
%% Output HOG files
[hog_data, valid_inds] = Read_HOG_file(outputHOG_aligned);
output_hog_file = sprintf('%s/%s.hog', output_dir, name);
[hog_data, valid_inds] = Read_HOG_file(output_hog_file);
%% Output aligned images
img_files = dir([outputDir_aligned, '/*.png']);
output_aligned_dir = sprintf('%s/%s_aligned/', output_dir, name);
img_files = dir([output_aligned_dir, '/*.bmp']);
imgs = cell(numel(img_files, 1));
for i=1:numel(img_files)
imgs{i} = imread([ outputDir_aligned, '/', img_files(i).name]);
imgs{i} = imread([ output_aligned_dir, '/', img_files(i).name]);
imshow(imgs{i})
drawnow
end

8
matlab_runners/Demos/feature_extraction_demo_vid.m
View File

@ -165,13 +165,15 @@ legend('show');
hold off;
%% Output HOG files
[hog_data, valid_inds] = Read_HOG_file(outputHOG_aligned);
output_hog_file = sprintf('%s/%s.hog', output_dir, name);
[hog_data, valid_inds] = Read_HOG_file(output_hog_file);
%% Output aligned images
img_files = dir([outputDir_aligned, '/*.png']);
output_aligned_dir = sprintf('%s/%s_aligned/', output_dir, name);
img_files = dir([output_aligned_dir, '/*.bmp']);
imgs = cell(numel(img_files, 1));
for i=1:numel(img_files)
imgs{i} = imread([ outputDir_aligned, '/', img_files(i).name]);
imgs{i} = imread([ output_aligned_dir, '/', img_files(i).name]);
imshow(imgs{i})
drawnow
end

39
matlab_runners/Demos/run_demo_align_size.m Normal file
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@ -0,0 +1,39 @@
% 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
% Input file
in_file = '../../samples/default.wmv';
% Where to store the output
output_dir = './processed_features/';
img_sizes = [64, 112, 224];
% This will take file after -f and output all the features to directory
% after -out_dir
command = sprintf('%s -f "%s" -out_dir "%s" -verbose -simalign', executable, in_file, output_dir);
if(isunix)
unix(command);
else
dos(command);
end
%% Output aligned images
output_aligned_dir = sprintf('%s/%s_aligned/', output_dir, name);
img_files = dir([output_aligned_dir, '/*.bmp']);
imgs = cell(numel(img_files, 1));
for i=1:numel(img_files)
imgs{i} = imread([ output_aligned_dir, '/', img_files(i).name]);
imshow(imgs{i})
drawnow
end