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Adapting to the case where no AU models are present (e.g. due to licensing issues).

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This commit is contained in:
Tadas Baltrusaitis 2018-03-27 16:26:26 +01:00
parent b1524ca98b
commit 51fbf805bc
3 changed files with 67 additions and 58 deletions
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39
lib/local/FaceAnalyser/src/FaceAnalyser.cpp
View file

@ -1224,25 +1224,28 @@ void FaceAnalyser::ReadRegressor(std::string fname, const vector<string>& au_nam
{ {
ifstream regressor_stream(fname.c_str(), ios::in | ios::binary); ifstream regressor_stream(fname.c_str(), ios::in | ios::binary);
// First read the input type if(regressor_stream.is_open())
int regressor_type;
regressor_stream.read((char*)&regressor_type, 4);
if(regressor_type == SVR_appearance_static_linear)
{ {
AU_SVR_static_appearance_lin_regressors.Read(regressor_stream, au_names); // First read the input type
} int regressor_type;
else if(regressor_type == SVR_appearance_dynamic_linear) regressor_stream.read((char*)&regressor_type, 4);
{
AU_SVR_dynamic_appearance_lin_regressors.Read(regressor_stream, au_names); if(regressor_type == SVR_appearance_static_linear)
} {
else if(regressor_type == SVM_linear_stat) AU_SVR_static_appearance_lin_regressors.Read(regressor_stream, au_names);
{ }
AU_SVM_static_appearance_lin.Read(regressor_stream, au_names); else if(regressor_type == SVR_appearance_dynamic_linear)
} {
else if(regressor_type == SVM_linear_dyn) AU_SVR_dynamic_appearance_lin_regressors.Read(regressor_stream, au_names);
{ }
AU_SVM_dynamic_appearance_lin.Read(regressor_stream, au_names); else if(regressor_type == SVM_linear_stat)
{
AU_SVM_static_appearance_lin.Read(regressor_stream, au_names);
}
else if(regressor_type == SVM_linear_dyn)
{
AU_SVM_dynamic_appearance_lin.Read(regressor_stream, au_names);
}
} }
} }

6
lib/local/FaceAnalyser/src/FaceAnalyserParameters.cpp
View file

@ -182,7 +182,7 @@ void FaceAnalyserParameters::init()
} }
else else
{ {
std::cout << "Could not find the AU detection model to load" << std::endl; std::cout << "Could not find the face analysis module to load" << std::endl;
} }
orientation_bins = vector<cv::Vec3d>(); orientation_bins = vector<cv::Vec3d>();
@ -226,7 +226,7 @@ void FaceAnalyserParameters::OptimizeForVideos()
} }
else else
{ {
std::cout << "Could not find the AU detection model to load" << std::endl; std::cout << "Could not find the face analysis module to load" << std::endl;
} }
} }
@ -256,7 +256,7 @@ void FaceAnalyserParameters::OptimizeForImages()
} }
else else
{ {
std::cout << "Could not find the AU detection model to load" << std::endl; std::cout << "Could not find the face analysis module to load" << std::endl;
} }
} }

80
lib/local/Utilities/src/Visualizer.cpp
View file

@ -234,48 +234,54 @@ void Visualizer::SetObservationPose(const cv::Vec6d& pose, double confidence)
void Visualizer::SetObservationActionUnits(const std::vector<std::pair<std::string, double> >& au_intensities, void Visualizer::SetObservationActionUnits(const std::vector<std::pair<std::string, double> >& au_intensities,
const std::vector<std::pair<std::string, double> >& au_occurences) const std::vector<std::pair<std::string, double> >& au_occurences)
{ {
const int NB_AUS = 17; if(au_intensities.size() > 0 || au_occurences.size() > 0)
{
const int NB_AUS = 17;
const int AU_TRACKBAR_LENGTH = 400; const int AU_TRACKBAR_LENGTH = 400;
const int AU_TRACKBAR_HEIGHT = 10; const int AU_TRACKBAR_HEIGHT = 10;
const int MARGIN_X = 185; const int MARGIN_X = 185;
const int MARGIN_Y = 10; const int MARGIN_Y = 10;
action_units_image = cv::Mat(NB_AUS * (AU_TRACKBAR_HEIGHT + 10) + MARGIN_Y * 2, AU_TRACKBAR_LENGTH + MARGIN_X, CV_8UC3, cv::Scalar(255,255,255)); action_units_image = cv::Mat(NB_AUS * (AU_TRACKBAR_HEIGHT + 10) + MARGIN_Y * 2, AU_TRACKBAR_LENGTH + MARGIN_X, CV_8UC3, cv::Scalar(255,255,255));
std::map<std::string, std::pair<bool, double>> aus; std::map<std::string, std::pair<bool, double>> aus;
// first, prepare a mapping "AU name" -> { present, intensity } // first, prepare a mapping "AU name" -> { present, intensity }
for (size_t idx = 0; idx < au_intensities.size(); idx++) { for (size_t idx = 0; idx < au_intensities.size(); idx++) {
aus[au_intensities[idx].first] = std::make_pair(au_occurences[idx].second != 0, au_intensities[idx].second); aus[au_intensities[idx].first] = std::make_pair(au_occurences[idx].second != 0, au_intensities[idx].second);
} }
// then, build the graph // then, build the graph
size_t idx = 0; size_t idx = 0;
for (auto& au : aus) { for (auto& au : aus)
std::string name = au.first; {
bool present = au.second.first; std::string name = au.first;
double intensity = au.second.second; bool present = au.second.first;
double intensity = au.second.second;
auto offset = MARGIN_Y + idx * (AU_TRACKBAR_HEIGHT + 10); auto offset = MARGIN_Y + idx * (AU_TRACKBAR_HEIGHT + 10);
std::ostringstream au_i; std::ostringstream au_i;
au_i << std::setprecision(2) << std::setw(4) << std::fixed << intensity; au_i << std::setprecision(2) << std::setw(4) << std::fixed << intensity;
cv::putText(action_units_image, name, cv::Point(10, offset + 10), CV_FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(present ? 0 : 200, 0, 0), 1, CV_AA); cv::putText(action_units_image, name, cv::Point(10, offset + 10), CV_FONT_HERSHEY_SIMPLEX, 0.5, CV_RGB(present ? 0 : 200, 0, 0), 1, CV_AA);
cv::putText(action_units_image, AUS_DESCRIPTION.at(name), cv::Point(55, offset + 10), CV_FONT_HERSHEY_SIMPLEX, 0.3, CV_RGB(0, 0, 0), 1, CV_AA); cv::putText(action_units_image, AUS_DESCRIPTION.at(name), cv::Point(55, offset + 10), CV_FONT_HERSHEY_SIMPLEX, 0.3, CV_RGB(0, 0, 0), 1, CV_AA);
if(present) { if(present)
cv::putText(action_units_image, au_i.str(), cv::Point(160, offset + 10), CV_FONT_HERSHEY_SIMPLEX, 0.3, CV_RGB(0, 100, 0), 1, CV_AA); {
cv::rectangle(action_units_image, cv::Point(MARGIN_X, offset), cv::putText(action_units_image, au_i.str(), cv::Point(160, offset + 10), CV_FONT_HERSHEY_SIMPLEX, 0.3, CV_RGB(0, 100, 0), 1, CV_AA);
cv::Point(MARGIN_X + AU_TRACKBAR_LENGTH * intensity/5, offset + AU_TRACKBAR_HEIGHT), cv::rectangle(action_units_image, cv::Point(MARGIN_X, offset),
cv::Scalar(128,128,128), cv::Point(MARGIN_X + AU_TRACKBAR_LENGTH * intensity/5, offset + AU_TRACKBAR_HEIGHT),
CV_FILLED); cv::Scalar(128,128,128),
} CV_FILLED);
else { }
cv::putText(action_units_image, "0.00", cv::Point(160, offset + 10), CV_FONT_HERSHEY_SIMPLEX, 0.3, CV_RGB(0, 0, 0), 1, CV_AA); else
} {
idx++; cv::putText(action_units_image, "0.00", cv::Point(160, offset + 10), CV_FONT_HERSHEY_SIMPLEX, 0.3, CV_RGB(0, 0, 0), 1, CV_AA);
} }
idx++;
}
}
} }
// Eye gaze infomration drawing, first of eye landmarks then of gaze // Eye gaze infomration drawing, first of eye landmarks then of gaze
@ -374,14 +380,14 @@ char Visualizer::ShowObservation()
{ {
cv::imshow("hog", hog_image); cv::imshow("hog", hog_image);
} }
if (vis_aus) if (vis_aus && !action_units_image.empty())
{ {
cv::namedWindow("action units", cv::WindowFlags::WINDOW_NORMAL); cv::namedWindow("action units", cv::WindowFlags::WINDOW_KEEPRATIO);
cv::imshow("action units", action_units_image); cv::imshow("action units", action_units_image);
} }
if (vis_track) if (vis_track)
{ {
cv::namedWindow("tracking result", cv::WindowFlags::WINDOW_NORMAL); cv::namedWindow("tracking result", cv::WindowFlags::WINDOW_KEEPRATIO);
cv::imshow("tracking result", captured_image); cv::imshow("tracking result", captured_image);
} }
return cv::waitKey(1); return cv::waitKey(1);