Adapting to the case where no AU models are present (e.g. due to licensing issues).
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b1524ca98b
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51fbf805bc
3 changed files with 67 additions and 58 deletions
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@ -1224,25 +1224,28 @@ void FaceAnalyser::ReadRegressor(std::string fname, const vector<string>& au_nam
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{
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ifstream regressor_stream(fname.c_str(), ios::in | ios::binary);
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// First read the input type
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int regressor_type;
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regressor_stream.read((char*)®ressor_type, 4);
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if(regressor_stream.is_open())
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{
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// First read the input type
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int regressor_type;
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regressor_stream.read((char*)®ressor_type, 4);
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if(regressor_type == SVR_appearance_static_linear)
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{
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AU_SVR_static_appearance_lin_regressors.Read(regressor_stream, au_names);
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}
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else if(regressor_type == SVR_appearance_dynamic_linear)
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{
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AU_SVR_dynamic_appearance_lin_regressors.Read(regressor_stream, au_names);
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}
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else if(regressor_type == SVM_linear_stat)
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{
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AU_SVM_static_appearance_lin.Read(regressor_stream, au_names);
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}
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else if(regressor_type == SVM_linear_dyn)
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{
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AU_SVM_dynamic_appearance_lin.Read(regressor_stream, au_names);
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if(regressor_type == SVR_appearance_static_linear)
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{
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AU_SVR_static_appearance_lin_regressors.Read(regressor_stream, au_names);
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}
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else if(regressor_type == SVR_appearance_dynamic_linear)
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{
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AU_SVR_dynamic_appearance_lin_regressors.Read(regressor_stream, au_names);
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}
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else if(regressor_type == SVM_linear_stat)
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{
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AU_SVM_static_appearance_lin.Read(regressor_stream, au_names);
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}
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else if(regressor_type == SVM_linear_dyn)
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{
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AU_SVM_dynamic_appearance_lin.Read(regressor_stream, au_names);
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}
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}
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}
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@ -182,7 +182,7 @@ void FaceAnalyserParameters::init()
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}
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else
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{
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std::cout << "Could not find the AU detection model to load" << std::endl;
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std::cout << "Could not find the face analysis module to load" << std::endl;
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}
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orientation_bins = vector<cv::Vec3d>();
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@ -226,7 +226,7 @@ void FaceAnalyserParameters::OptimizeForVideos()
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}
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else
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{
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std::cout << "Could not find the AU detection model to load" << std::endl;
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std::cout << "Could not find the face analysis module to load" << std::endl;
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}
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}
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@ -256,7 +256,7 @@ void FaceAnalyserParameters::OptimizeForImages()
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}
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else
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{
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std::cout << "Could not find the AU detection model to load" << std::endl;
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std::cout << "Could not find the face analysis module to load" << std::endl;
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}
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}
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@ -234,48 +234,54 @@ void Visualizer::SetObservationPose(const cv::Vec6d& pose, double confidence)
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void Visualizer::SetObservationActionUnits(const std::vector<std::pair<std::string, double> >& au_intensities,
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const std::vector<std::pair<std::string, double> >& au_occurences)
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{
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const int NB_AUS = 17;
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if(au_intensities.size() > 0 || au_occurences.size() > 0)
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{
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const int NB_AUS = 17;
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const int AU_TRACKBAR_LENGTH = 400;
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const int AU_TRACKBAR_HEIGHT = 10;
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const int AU_TRACKBAR_LENGTH = 400;
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const int AU_TRACKBAR_HEIGHT = 10;
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const int MARGIN_X = 185;
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const int MARGIN_Y = 10;
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const int MARGIN_X = 185;
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const int MARGIN_Y = 10;
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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));
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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));
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std::map<std::string, std::pair<bool, double>> aus;
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std::map<std::string, std::pair<bool, double>> aus;
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// first, prepare a mapping "AU name" -> { present, intensity }
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for (size_t idx = 0; idx < au_intensities.size(); idx++) {
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aus[au_intensities[idx].first] = std::make_pair(au_occurences[idx].second != 0, au_intensities[idx].second);
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}
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// first, prepare a mapping "AU name" -> { present, intensity }
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for (size_t idx = 0; idx < au_intensities.size(); idx++) {
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aus[au_intensities[idx].first] = std::make_pair(au_occurences[idx].second != 0, au_intensities[idx].second);
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}
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// then, build the graph
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size_t idx = 0;
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for (auto& au : aus) {
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std::string name = au.first;
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bool present = au.second.first;
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double intensity = au.second.second;
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// then, build the graph
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size_t idx = 0;
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for (auto& au : aus)
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{
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std::string name = au.first;
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bool present = au.second.first;
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double intensity = au.second.second;
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auto offset = MARGIN_Y + idx * (AU_TRACKBAR_HEIGHT + 10);
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std::ostringstream au_i;
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au_i << std::setprecision(2) << std::setw(4) << std::fixed << intensity;
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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);
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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);
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auto offset = MARGIN_Y + idx * (AU_TRACKBAR_HEIGHT + 10);
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std::ostringstream au_i;
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au_i << std::setprecision(2) << std::setw(4) << std::fixed << intensity;
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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);
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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);
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if(present) {
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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);
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cv::rectangle(action_units_image, cv::Point(MARGIN_X, offset),
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cv::Point(MARGIN_X + AU_TRACKBAR_LENGTH * intensity/5, offset + AU_TRACKBAR_HEIGHT),
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cv::Scalar(128,128,128),
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CV_FILLED);
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}
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else {
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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);
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}
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idx++;
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}
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if(present)
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{
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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);
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cv::rectangle(action_units_image, cv::Point(MARGIN_X, offset),
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cv::Point(MARGIN_X + AU_TRACKBAR_LENGTH * intensity/5, offset + AU_TRACKBAR_HEIGHT),
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cv::Scalar(128,128,128),
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CV_FILLED);
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}
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else
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{
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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);
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}
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idx++;
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}
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}
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}
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// Eye gaze infomration drawing, first of eye landmarks then of gaze
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@ -374,14 +380,14 @@ char Visualizer::ShowObservation()
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{
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cv::imshow("hog", hog_image);
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}
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if (vis_aus)
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if (vis_aus && !action_units_image.empty())
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{
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cv::namedWindow("action units", cv::WindowFlags::WINDOW_NORMAL);
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cv::namedWindow("action units", cv::WindowFlags::WINDOW_KEEPRATIO);
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cv::imshow("action units", action_units_image);
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}
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if (vis_track)
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{
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cv::namedWindow("tracking result", cv::WindowFlags::WINDOW_NORMAL);
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cv::namedWindow("tracking result", cv::WindowFlags::WINDOW_KEEPRATIO);
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cv::imshow("tracking result", captured_image);
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}
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return cv::waitKey(1);
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