Some more cleanup.
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2513688463
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ef031d29db
2 changed files with 6 additions and 19 deletions
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@ -298,7 +298,7 @@ namespace OpenFaceOffline
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var landmarks = clnf_model.CalculateAllLandmarks();
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// Predict action units
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var au_preds = face_analyser.PredictStaticAUsAndComputeFeatures(frame, landmarks, ShowAppearance);
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var au_preds = face_analyser.PredictStaticAUsAndComputeFeatures(frame, landmarks);
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// Predic eye gaze
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gaze_analyser.AddNextFrame(clnf_model, detectionSucceeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
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@ -307,7 +307,7 @@ namespace OpenFaceOffline
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VisualizeFeatures(frame, visualizer_of, landmarks, i == 0, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), progress);
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// Record an observation
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RecordObservation(recorder, detectionSucceeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
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RecordObservation(recorder, visualizer_of.GetVisImage(), detectionSucceeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
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}
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@ -396,7 +396,7 @@ namespace OpenFaceOffline
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detectionSucceeding = ProcessFrame(clnf_model, face_model_params, frame, grayFrame, fx, fy, cx, cy);
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// The face analysis step (for AUs and eye gaze)
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face_analyser.AddNextFrame(frame, clnf_model.CalculateAllLandmarks(), detectionSucceeding, false, ShowAppearance); // TODO change
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face_analyser.AddNextFrame(frame, clnf_model.CalculateAllLandmarks(), detectionSucceeding, false);
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gaze_analyser.AddNextFrame(clnf_model, detectionSucceeding, fx, fy, cx, cy);
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recorder.RecordFrame(clnf_model, face_analyser, gaze_analyser, detectionSucceeding, frame_id + 1, ((double)frame_id) / fps);
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@ -87,7 +87,6 @@ private:
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// The actual descriptors (for visualisation and output)
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cv::Mat_<float>* hog_features;
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cv::Mat* aligned_face;
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cv::Mat* visualisation;
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// Variables used for recording things
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std::ofstream* hog_output_file;
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@ -114,7 +113,6 @@ public:
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hog_features = new cv::Mat_<float>();
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aligned_face = new cv::Mat();
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visualisation = new cv::Mat();
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num_rows = new int;
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num_cols = new int;
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@ -194,7 +192,7 @@ public:
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face_analyser->PostprocessOutputFile(msclr::interop::marshal_as<std::string>(file));
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}
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void AddNextFrame(OpenCVWrappers::RawImage^ frame, List<System::Tuple<double, double>^>^ landmarks, bool success, bool online, bool vis_hog) {
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void AddNextFrame(OpenCVWrappers::RawImage^ frame, List<System::Tuple<double, double>^>^ landmarks, bool success, bool online) {
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// Construct an OpenCV matric from the landmarks
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cv::Mat_<double> landmarks_mat(landmarks->Count * 2, 1, 0.0);
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@ -215,17 +213,12 @@ public:
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face_analyser->GetLatestAlignedFace(*aligned_face);
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*good_frame = success;
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if(vis_hog)
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{
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Utilities::Visualise_FHOG(*hog_features, *num_rows, *num_cols, *visualisation);
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}
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}
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// Predicting AUs from a single image
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System::Tuple<Dictionary<System::String^, double>^, Dictionary<System::String^, double>^>^
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PredictStaticAUsAndComputeFeatures(OpenCVWrappers::RawImage^ frame, List<System::Tuple<double, double>^>^ landmarks, bool vis_hog)
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PredictStaticAUsAndComputeFeatures(OpenCVWrappers::RawImage^ frame, List<System::Tuple<double, double>^>^ landmarks)
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{
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// Construct an OpenCV matric from the landmarks
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@ -245,11 +238,6 @@ public:
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face_analyser->GetLatestAlignedFace(*aligned_face);
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if (vis_hog)
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{
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Utilities::Visualise_FHOG(*hog_features, *num_rows, *num_cols, *visualisation);
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}
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// Set the computed AUs
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auto AU_predictions_intensity = face_analyser->GetCurrentAUsReg();
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auto AU_predictions_occurence = face_analyser->GetCurrentAUsClass();
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@ -364,7 +352,6 @@ public:
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{
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delete hog_features;
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delete aligned_face;
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delete visualisation;
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delete num_cols;
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delete num_rows;
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delete hog_output_file;
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